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https://www.sciencedirect.com/science/article/pii/S2666979X25000758?dgcid=rss_sd_all
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are composed of ∼125 bp point centromeres built on a single CENP-A nucleosome, whereas human centromeres are composed of regional centromeres that occupy ∼171 bp alpha-satellite repeat units organized into higher-order repeats (HORs) that can span several megabases on each chromosome.", "language": "english", "position": {"atoms": [{"position_id": 4173, "txt": " For example, ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]"}, {"position_id": 4175, "txt": "Saccharomyces cerevisiae", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/em[1]"}, {"position_id": 4177, "txt": " centromeres are composed of ∼125 bp point centromeres built on a single CENP-A nucleosome, whereas human centromeres are composed of regional centromeres that occupy ∼171 bp alpha-satellite repeat units organized into higher-order repeats (HORs) that can span several megabases on each chromosome.", "x": 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4212, "txt": "9", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[9]/span/span/sup"}, {"position_id": 4214, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/sup[5]"}, {"position_id": 4216, "txt": "10", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[10]/span/span/sup"}, {"position_id": 4218, "txt": " (i.e., the centromere core or “centromere dip region” [CDR]).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[10]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 32, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": " However, in vivo chromatin compaction and organization within this region remain largely unresolved, with somewhat contradictory chromatin features appearing to localize to the centromere core.", "language": "english", "position": {"atoms": [{"position_id": 4219, "txt": " However, ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[10]"}, {"position_id": 4221, "txt": "in vivo", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/em[2]"}, {"position_id": 4223, "txt": " chromatin compaction and organization within this region remain largely unresolved, with somewhat contradictory chromatin features appearing to localize to the centromere core.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/em[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 32, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": " For example, the centromere core contains a unique patterning of histones referred to as “centro-chromatin,” which is composed of both centromere-specific CENP-A nucleosomes and H3 nucleosomes dimethylated on Lys4 (H3K4me2)11 that are often associated with euchromatic portions of the genome.12 Despite the presence of these H3K4me2 histones, the centromere core is thought to contain condensed chromatin arrays in vivo,13 which are proposed to arise from CENP-A-mediated nucleosome condensation14 as well as other kinetochore proteins bridging and compacting neighboring nucleosomes.15,16,17 However, the chromatin compaction of centro-chromatin in vivo remains largely unknown.", "language": "english", "position": {"atoms": [{"position_id": 4224, "txt": " For example, the centromere core contains a unique patterning of histones referred to as “centro-chromatin,” which is composed of both centromere-specific CENP-A nucleosomes and H3 nucleosomes dimethylated on Lys4 (H3K4me2)", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/em[2]"}, {"position_id": 4226, "txt": "11", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[11]/span/span/sup"}, {"position_id": 4228, "txt": " that are often associated with euchromatic portions of the genome.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[11]"}, {"position_id": 4230, "txt": "12", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[12]/span/span/sup"}, {"position_id": 4232, "txt": " Despite the presence of these H3K4me2 histones, the centromere core is thought to contain condensed chromatin arrays ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[12]"}, {"position_id": 4234, "txt": "in vivo", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/em[3]"}, {"position_id": 4236, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/em[3]"}, {"position_id": 4238, "txt": "13", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[13]/span/span/sup"}, {"position_id": 4240, "txt": " which are proposed to arise from CENP-A-mediated nucleosome condensation", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[13]"}, {"position_id": 4242, "txt": "14", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[14]/span/span/sup"}, {"position_id": 4244, "txt": " as well as other kinetochore proteins bridging and compacting neighboring nucleosomes.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[14]"}, {"position_id": 4246, "txt": "15", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[15]/span/span/sup"}, {"position_id": 4248, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/sup[6]"}, {"position_id": 4250, "txt": "16", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[16]/span/span/sup"}, {"position_id": 4252, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/sup[7]"}, {"position_id": 4254, "txt": "17", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[17]/span/span/sup"}, {"position_id": 4256, "txt": " However, the chromatin compaction of centro-chromatin ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/a[17]"}, {"position_id": 4258, "txt": "in vivo", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/em[4]"}, {"position_id": 4260, "txt": " remains largely unknown.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[1]/em[4]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 32, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "Resolving exactly how chromatin is organized along individual chromatin fibers within the centromere, as well as the relationship between kinetochore binding and chromatin organization, has been challenging due to the highly repetitive DNA content of alpha-satellite HORs.13 Specifically, centromeres are systematically unresolved in most reference genomes, and short-read sequencing-based chromatin profiling methods cannot uniquely resolve chromatin architectures across these repetitive DNA arrays (Figure S1A).", "language": "english", "position": {"atoms": [{"position_id": 4262, "txt": "Resolving exactly how chromatin is organized along individual chromatin fibers within the centromere, as well as the relationship between kinetochore binding and chromatin organization, has been challenging due to the highly repetitive DNA content of alpha-satellite HORs.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[2]"}, {"position_id": 4264, "txt": "13", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[2]/a[1]/span/span/sup"}, {"position_id": 4266, "txt": " Specifically, centromeres are systematically unresolved in most reference genomes, and short-read sequencing-based chromatin profiling methods cannot uniquely resolve chromatin architectures across these repetitive DNA arrays (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[2]/a[1]"}, {"position_id": 4268, "txt": "Figure S1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[2]/a[2]/span/span"}, {"position_id": 4270, "txt": "A).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[2]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": " In addition, short-read sequencing-based chromatin profiling methods are inherently unable to resolve how multiple chromatin features are positioned along a single chromatin fiber, as these methods inherently massively fragment chromatin fibers in the process of studying them.", "language": "english", "position": {"atoms": [{"position_id": 4271, "txt": " In addition, short-read sequencing-based chromatin profiling methods are inherently unable to resolve how multiple chromatin features are positioned along a single chromatin fiber, as these methods inherently massively fragment chromatin fibers in the process of studying them.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[2]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "The completion of the first telomere-to-telomere (T2T) human reference genome,18 in combination with emerging methyltransferase-based single-molecule long-read chromatin profiling methods,19,20,21,22 opens the possibility of studying 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"/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/sup[1]"}, {"position_id": 4283, "txt": "20", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[3]/span/span/sup"}, {"position_id": 4285, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/sup[2]"}, {"position_id": 4287, "txt": "21", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[4]/span/span/sup"}, {"position_id": 4289, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/sup[3]"}, {"position_id": 4291, "txt": "22", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[5]/span/span/sup"}, {"position_id": 4293, "txt": " opens the possibility of studying chromatin features across centromeres at single-molecule and single-nucleotide resolution.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[5]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": " Specifically, non-specific adenine methyltransferase (m6A-MTase)-based chromatin profiling methods (i.e., single-molecule chromatin fiber sequencing [Fiber-seq]) enable nucleotide-precise mappings of chromatin accessibility, protein occupancy, nucleosome positioning, and CpG methylation along multi-kilobase chromatin fibers19,23 (Figures S1B and S1C).", "language": "english", "position": {"atoms": [{"position_id": 4294, "txt": " Specifically, non-specific adenine methyltransferase (m6A-MTase)-based chromatin profiling methods (i.e., single-molecule chromatin fiber sequencing [Fiber-seq]) enable nucleotide-precise mappings of chromatin accessibility, protein occupancy, nucleosome positioning, and CpG methylation along multi-kilobase chromatin fibers", 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"/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[8]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": " Fiber-seq utilizes a non-specific m6A-MTase24 to stencil the chromatin architecture of individual multi-kilobase fibers onto their underlying DNA templates via methylated adenines (Figure 1A), which is a non-endogenous DNA modification in humans.25,26 The genetic and chromatin architecture of each fiber is directly read using highly accurate single-molecule PacBio HiFi long-read DNA sequencing, which is capable of accurately distinguishing m6A- and mCpG-modified bases at single-nucleotide resolution.23,27 We have previously established that both the CpG methylation pattern and chromatin accessibility patterns derived from Fiber-seq data are highly reproducible between replicates23 and show strong agreement with orthogonal methods genome wide, such as bisulfite sequencing 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"/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[10]"}, {"position_id": 4317, "txt": "25", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[11]/span/span/sup"}, {"position_id": 4319, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/sup[5]"}, {"position_id": 4321, "txt": "26", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[12]/span/span/sup"}, {"position_id": 4323, "txt": " The genetic and chromatin architecture of each fiber is directly read using highly accurate single-molecule PacBio HiFi long-read DNA sequencing, which is capable of accurately distinguishing m6A- and mCpG-modified bases at single-nucleotide resolution.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[12]"}, {"position_id": 4325, "txt": "23", "x": 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sequencing and ATAC-seq.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[15]"}, {"position_id": 4337, "txt": "19", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[16]/span/span/sup"}, {"position_id": 4339, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/sup[7]"}, {"position_id": 4341, "txt": "23", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[17]/span/span/sup"}, {"position_id": 4343, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/sup[8]"}, {"position_id": 4345, "txt": "28", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/div/a[18]/span/span/sup"}, {"position_id": 4347, "txt": ",", "x": 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Resolution of kinetochore and surrounding chromatin architectures along point centromeres", "language": "english", "position": {"atoms": [{"position_id": 4351, "txt": "Figure 1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/p/span"}, {"position_id": 4353, "txt": ". Resolution of kinetochore and surrounding chromatin architectures along point centromeres", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/p/span"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 36, "global_sentence_id": 49, "edu_l1_label": "EDU_O"}, {"txt": "(A) Schematic for mapping the chromatin occupancy of point centromeres within the yeast S. cerevisiae using Fiber-seq.", "language": "english", "position": {"atoms": [{"position_id": 4355, "txt": "(A) Schematic for mapping the chromatin occupancy of point centromeres within the yeast ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[1]"}, {"position_id": 4357, "txt": "S. cerevisiae", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[1]/em"}, {"position_id": 4359, "txt": " using Fiber-seq.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[1]/em"}]}, "tags": ["img", "em"], "label": "figure_title", "web_segment_id": 37, "global_sentence_id": 50, "edu_l1_label": "EDU_O"}, {"txt": "(B) Locus displaying single-molecule chromatin architectures of the S. cerevisiae chromosome III point centromere, alongside Cap Analysis of Gene Expression (CAGE) sequencing data and gene annotations.", "language": "english", "position": {"atoms": [{"position_id": 4361, "txt": "(B) Locus displaying single-molecule chromatin architectures of the ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[2]"}, {"position_id": 4363, "txt": "S. cerevisiae", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[2]/em"}, {"position_id": 4365, "txt": " chromosome III point centromere, alongside Cap Analysis of Gene Expression (CAGE) sequencing data and gene annotations.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[2]/em"}]}, "tags": ["img", "em"], "label": "figure_title", "web_segment_id": 38, "global_sentence_id": 51, "edu_l1_label": "EDU_O"}, {"txt": " Each gray bar is a single Fiber-seq read, with purple dashes representing sites of m6A-modified bases along that read.", "language": "english", "position": {"atoms": [{"position_id": 4366, "txt": " Each gray bar is a single Fiber-seq read, with purple dashes representing sites of m6A-modified bases along that read.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[2]/em"}]}, "tags": ["em", "img"], "label": "figure_title", "web_segment_id": 38, "global_sentence_id": 52, "edu_l1_label": "EDU_O"}, {"txt": " Note the large patches of chromatin accessibility that correspond to CAGE-positive gene promoters as well as those immediately adjacent to the centromere.", "language": "english", "position": {"atoms": [{"position_id": 4367, "txt": " Note the large patches of chromatin accessibility that correspond to CAGE-positive gene promoters as well as those immediately adjacent to the centromere.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[2]/em"}]}, "tags": ["em", "img"], "label": "figure_title", "web_segment_id": 38, "global_sentence_id": 53, "edu_l1_label": "EDU_O"}, {"txt": "(C) Heatmap displaying average Fiber-seq m6A signal surrounding each of the S. cerevisiae point centromeres.", "language": "english", "position": {"atoms": [{"position_id": 4369, "txt": "(C) Heatmap displaying average Fiber-seq m6A signal surrounding each of the ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[3]"}, {"position_id": 4371, "txt": "S. cerevisiae", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[3]/em"}, {"position_id": 4373, "txt": " point centromeres.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[3]/em"}]}, "tags": ["img", "em"], "label": "figure_title", "web_segment_id": 39, "global_sentence_id": 54, "edu_l1_label": "EDU_O"}, {"txt": "(D) (Top) Zoom-in of the per-nucleotide Fiber-seq signal of the S. cerevisiae chromosome III point centromere in relation to the CDEI, CDEII, and CDEIII elements.", "language": "english", "position": {"atoms": [{"position_id": 4375, "txt": "(D) (Top) Zoom-in of the per-nucleotide Fiber-seq signal of the ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]"}, {"position_id": 4377, "txt": "S. cerevisiae", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/em[1]"}, {"position_id": 4379, "txt": " chromosome III point centromere in relation to the CDEI, CDEII, and CDEIII elements.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/em[1]"}]}, "tags": ["img", "em"], "label": "figure_title", "web_segment_id": 40, "global_sentence_id": 55, "edu_l1_label": "EDU_O"}, {"txt": " (Bottom) Cryo-EM structure of the yeast complete S. cerevisiae inner kinetochore bound to the chromosome III point centromere (PDB:", "language": "english", "position": {"atoms": [{"position_id": 4380, "txt": " (Bottom) Cryo-EM structure of the yeast complete ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/em[1]"}, {"position_id": 4382, "txt": "S. cerevisiae", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/em[2]"}, {"position_id": 4384, "txt": " inner kinetochore bound to the chromosome III point centromere (PDB:", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/em[2]"}]}, "tags": ["img", "em"], "label": "figure_title", "web_segment_id": 40, "global_sentence_id": 56, "edu_l1_label": "EDU_O"}, {"txt": " 8OW130), with the DNA colored according to the m6A-MTase sensitivity measured via Fiber-seq on S. cerevisiae.", "language": "english", "position": {"atoms": [{"position_id": 4385, "txt": " ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/em[2]"}, {"position_id": 4387, "txt": "8OW1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/a[1]/span/span"}, {"position_id": 4389, "txt": "30", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/a[2]/span/span/sup"}, {"position_id": 4391, "txt": "), with the DNA colored according to the m6A-MTase sensitivity measured via Fiber-seq on ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/a[2]"}, {"position_id": 4393, "txt": "S. cerevisiae", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/em[3]"}, {"position_id": 4395, "txt": ".", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[1]/div[3]/figure/span[2]/span/div[4]/em[3]"}]}, "tags": ["img", "em"], "label": "figure_title", "web_segment_id": 40, "global_sentence_id": 57, "edu_l1_label": "EDU_O"}, {"txt": "Results", "language": "english", "position": {"atoms": [{"position_id": 4397, "txt": "Results", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 41, "global_sentence_id": 58, "edu_l1_label": "BOS"}, {"txt": "Single-molecule chromatin architectures of kinetochore-bound point centromeres", "language": "english", "position": {"atoms": [{"position_id": 4399, "txt": "Single-molecule chromatin architectures of kinetochore-bound point centromeres", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 42, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "To map the chromatin architecture of centromeres at single-molecule and near-single-nucleotide resolution, we first applied Fiber-seq to budding yeast Saccharomyces cerevisiae (Figure 1A), which contain a point centromere along each chromosome.31,32 Similar to humans, the yeast inner kinetochore directly interacts with DNA via a centromere-associated inner kinetochore (CCAN) complex, which contains the histone H3 variant CENP-A (Cse4)31 in addition to the yeast-specific centromere binding factor 1 (Cbf1)33 and the yeast-specific multiprotein complex CBF3.34 Each yeast centromere is organized into three centromere DNA elements (CDEs) (CDEI, CDEII, and CDEIII), and cryoelectron microscopy (cryo-EM) structures and nuclease digestions of the yeast CCAN complex have shown that the yeast CCAN embeds ∼160 bp of DNA within this complex.35,30 Application of Fiber-seq to asynchronously growing Saccharomyces cerevisiae cells revealed a discrete change in chromatin structure immediately overlapping the CDEI–III elements (Figures 1B and 1C).", "language": "english", "position": {"atoms": [{"position_id": 4401, "txt": "To map the chromatin architecture of centromeres at single-molecule and near-single-nucleotide resolution, we first applied Fiber-seq to budding yeast ", "x": 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"/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/sup[1]"}, {"position_id": 4415, "txt": "32", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[3]/span/span/sup"}, {"position_id": 4417, "txt": " Similar to humans, the yeast inner kinetochore directly interacts with DNA via a centromere-associated inner kinetochore (CCAN) complex, which contains the histone H3 variant CENP-A (Cse4)", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[3]"}, {"position_id": 4419, "txt": "31", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[4]/span/span/sup"}, {"position_id": 4421, "txt": " in addition to the yeast-specific centromere binding factor 1 (Cbf1)", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[4]"}, {"position_id": 4423, "txt": "33", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[5]/span/span/sup"}, {"position_id": 4425, "txt": " and the yeast-specific multiprotein complex CBF3.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[5]"}, {"position_id": 4427, "txt": "34", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[6]/span/span/sup"}, {"position_id": 4429, "txt": " Each yeast centromere is organized into three centromere DNA elements (CDEs) (CDEI, CDEII, and CDEIII), and cryoelectron microscopy (cryo-EM) structures and nuclease digestions of the yeast CCAN complex have shown that the yeast CCAN embeds ∼160 bp of DNA within this complex.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[6]"}, {"position_id": 4431, "txt": "35", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[7]/span/span/sup"}, {"position_id": 4433, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/sup[2]"}, {"position_id": 4435, "txt": "30", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[8]/span/span/sup"}, {"position_id": 4437, "txt": " Application of Fiber-seq to asynchronously growing ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[8]"}, {"position_id": 4439, "txt": "Saccharomyces cerevisiae", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/em[2]"}, {"position_id": 4441, "txt": " cells revealed a discrete change in chromatin structure immediately overlapping the CDEI–III elements (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/em[2]"}, {"position_id": 4443, "txt": "Figures 1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[9]/span/span"}, {"position_id": 4445, "txt": "B and 1C).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[9]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 43, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": " Specifically, >90% of chromatin fibers overlapping the yeast centromere contained a well-positioned MTase-protected region overlapping the CDEI–III elements.", "language": "english", "position": {"atoms": [{"position_id": 4446, "txt": " Specifically, >90% of chromatin fibers overlapping the yeast centromere contained a well-positioned MTase-protected region overlapping the CDEI–III elements.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[9]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": " This MTase-protected region was significantly larger than the standard nucleosome footprint size observed genome wide, perfectly aligned with the cryo-EM structure of the yeast inner kinetochore (Figure 1D), and was disrupted upon Cse4 destabilization.36 Notably, yeast centromeres were frequently flanked by MTase-sensitive patches (MSPs) of chromatin that mirror the size of traditional gene-regulatory elements (Figures 1B and 1C), indicating that the yeast CCAN is associated with marked alterations in the local chromatin architecture.", "language": "english", "position": {"atoms": [{"position_id": 4447, "txt": " This MTase-protected region was significantly larger than the standard nucleosome footprint size observed genome wide, perfectly aligned with the cryo-EM structure of the yeast inner kinetochore (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[9]"}, {"position_id": 4449, "txt": "Figure 1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[10]/span/span"}, {"position_id": 4451, "txt": "D), and was disrupted upon Cse4 destabilization.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[10]"}, {"position_id": 4453, "txt": "36", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[11]/span/span/sup"}, {"position_id": 4455, "txt": " Notably, yeast centromeres were frequently flanked by MTase-sensitive patches (MSPs) of chromatin that mirror the size of traditional gene-regulatory elements (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[11]"}, {"position_id": 4457, "txt": "Figures 1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[12]/span/span"}, {"position_id": 4459, "txt": "B and 1C), indicating that the yeast CCAN is associated with marked alterations in the local chromatin architecture.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[12]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": " Together, these findings reveal that Fiber-seq can resolve the chromatin architecture of the CCAN at single-molecule and near-single-nucleotide resolution and that individual fibers demonstrate homogeneous CCAN occupancy that frequently abuts patches of accessible chromatin.", "language": "english", "position": {"atoms": [{"position_id": 4460, "txt": " Together, these findings reveal that Fiber-seq can resolve the chromatin architecture of the CCAN at single-molecule and near-single-nucleotide resolution and that individual fibers demonstrate homogeneous CCAN occupancy that frequently abuts patches of accessible chromatin.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[1]/div/a[12]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "Dichotomous chromatin marks the centromere core in humans", "language": "english", "position": {"atoms": [{"position_id": 4462, "txt": "Dichotomous chromatin marks the centromere core in humans", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 44, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "We next sought to investigate the chromatin architecture of human centromeres by applying Fiber-seq to the human hydatidiform mole CHM13 cell line,37 the same line used for constructing the first human T2T reference genome.9,18 We observed that coupling long-read epigenome maps (Table S1) with paired fully sequenced and assembled genome maps from the same individual enabled us to uniquely map the chromatin architecture of all centromeres in CHM13 cells (Figure 2), overcoming the substantial diversity between individuals38 that is enriched within these highly repetitive genomic regions.", "language": "english", "position": {"atoms": [{"position_id": 4464, "txt": "We next sought to investigate the chromatin architecture of human centromeres by applying Fiber-seq to the human hydatidiform mole CHM13 cell line,", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div"}, {"position_id": 4466, "txt": "37", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[1]/span/span/sup"}, {"position_id": 4468, "txt": " the same line used for constructing the first human T2T reference genome.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[1]"}, {"position_id": 4470, "txt": "9", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[2]/span/span/sup"}, {"position_id": 4472, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/sup[1]"}, {"position_id": 4474, "txt": "18", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[3]/span/span/sup"}, {"position_id": 4476, "txt": " We observed that coupling long-read epigenome maps (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[3]"}, {"position_id": 4478, "txt": "Table S1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[4]/span/span"}, {"position_id": 4480, "txt": ") with paired fully sequenced and assembled genome maps from the same individual enabled us to uniquely map the chromatin architecture of all centromeres in CHM13 cells (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[4]"}, {"position_id": 4482, "txt": "Figure 2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[5]/span/span"}, {"position_id": 4484, "txt": "), overcoming the substantial diversity between individuals", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[5]"}, {"position_id": 4486, "txt": "38", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[6]/span/span/sup"}, {"position_id": 4488, "txt": " that is enriched within these highly repetitive genomic regions.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": " Notably, in stark contrast to the yeast point centromeres, CHM13 regional centromeres lacked homogeneously positioned chromatin (Figure 2A).", "language": "english", "position": {"atoms": [{"position_id": 4489, "txt": " Notably, in stark contrast to the yeast point centromeres, CHM13 regional centromeres lacked homogeneously positioned chromatin (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[6]"}, {"position_id": 4491, "txt": "Figure 2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[7]/span/span"}, {"position_id": 4493, "txt": "A).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": " However, similar to the region immediately proximal to the yeast point centromere nucleosome, CHM13 centromere cores contained markedly altered chromatin structures not observed elsewhere in the human genome.", "language": "english", "position": {"atoms": [{"position_id": 4494, "txt": " However, similar to the region immediately proximal to the yeast point centromere nucleosome, CHM13 centromere cores contained markedly altered chromatin structures not observed elsewhere in the human genome.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": " Specifically, the nucleosome architecture of CHM13 centromere cores diverged from that observed elsewhere in the human genome, containing mononucleosome footprints markedly smaller than the average nucleosome footprint size outside of the centromere core (Figure S1D), consistent with a large population of these centromere core mononucleosomes containing CENP-A, which is known to wrap only 121 bp of DNA in humans.13,39,40 In addition, the centromere core contained some of the most compacted nucleosome arrays within the human genome, with nearly 50% of all nucleosome footprints within the centromere core being di-nucleosomal in size (i.e., >210 bp), consistent with prior observations41, (Figures 2B and 2C).", "language": "english", "position": {"atoms": [{"position_id": 4495, "txt": " Specifically, the nucleosome architecture of CHM13 centromere cores diverged from that observed elsewhere in the human genome, containing mononucleosome footprints markedly smaller than the average nucleosome footprint size outside of the centromere core (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[7]"}, {"position_id": 4497, "txt": "Figure S1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[8]/span/span"}, {"position_id": 4499, "txt": "D), consistent with a large population of these centromere core mononucleosomes containing CENP-A, which is known to wrap only 121 bp of DNA in humans.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[8]"}, {"position_id": 4501, "txt": "13", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[9]/span/span/sup"}, {"position_id": 4503, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/sup[2]"}, {"position_id": 4505, "txt": "39", "x": 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and non-centromeric regions (Figure S1E), possibly reflecting unique CCAN footprints within this region.", "language": "english", "position": {"atoms": [{"position_id": 4522, "txt": " Of note, the size of di-nucleosome footprints within the centromere core appears distinct relative to other centromeric and non-centromeric regions (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[13]"}, {"position_id": 4524, "txt": "Figure S1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[14]/span/span"}, {"position_id": 4526, "txt": "E), possibly reflecting unique CCAN footprints within this region.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/div/a[14]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "<img 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Dichotomous accessible chromatin patches mark human CHM13 centromere cores", "language": "english", "position": {"atoms": [{"position_id": 4528, "txt": "Figure 2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/p/span"}, {"position_id": 4530, "txt": ". Dichotomous accessible chromatin patches mark human CHM13 centromere cores", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/p/span"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 47, "global_sentence_id": 71, "edu_l1_label": "EDU_O"}, {"txt": "(A) Genomic locus of chromosome 5 centromere showing satellite repeats, bulk CpG methylation, Fiber-seq-identified di-nucleosome footprint density, Fiber-seq-identified accessible chromatin patch density, and the density of Fiber-seq inferred regulatory elements (FIREs).", "language": "english", "position": {"atoms": [{"position_id": 4532, "txt": "(A) Genomic locus of chromosome 5 centromere showing satellite repeats, bulk CpG methylation, Fiber-seq-identified di-nucleosome footprint density, Fiber-seq-identified accessible chromatin patch density, and the density of Fiber-seq inferred regulatory elements (FIREs).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[1]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 48, "global_sentence_id": 72, "edu_l1_label": "EDU_O"}, {"txt": " Fiber-seq tracks generated by aggregating single-molecule data at each base along the genome.", "language": "english", "position": {"atoms": [{"position_id": 4533, "txt": " Fiber-seq tracks generated by aggregating single-molecule data at each base along the genome.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[1]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 48, "global_sentence_id": 73, "edu_l1_label": "EDU_O"}, {"txt": " On the bottom are individual Fiber-seq reads (gray bars) with m6A-modified bases in purple delineating single-molecule chromatin architectures within euchromatic and heterochromatic regions.", "language": "english", "position": {"atoms": [{"position_id": 4534, "txt": " On the bottom are individual Fiber-seq reads (gray bars) with m6A-modified bases in purple delineating single-molecule chromatin architectures within euchromatic and heterochromatic regions.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[1]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 48, "global_sentence_id": 74, "edu_l1_label": "EDU_O"}, {"txt": "(B) Average density of di-nucleosome footprints and accessible chromatin patches within various genomic regions (∗p < 0.01 Mann-Whitney).", "language": "english", "position": {"atoms": [{"position_id": 4536, "txt": "(B) Average density of di-nucleosome footprints and accessible chromatin patches within various genomic regions (∗", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[2]"}, 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"/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[4]"}, {"position_id": 4546, "txt": "p", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[4]/em"}, {"position_id": 4548, "txt": " < 0.01 Mann-Whitney).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[4]/em"}]}, "tags": ["img", "em"], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 77, "edu_l1_label": "EDU_O"}, {"txt": "(E) Estimated total number of accessible chromatin patches along each chromosome’s centromere core versus the length of that chromosome.", "language": "english", "position": {"atoms": [{"position_id": 4550, "txt": "(E) Estimated total number of accessible chromatin patches along each chromosome’s centromere core versus the length of that chromosome.", "x": 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"web_segment_id": 52, "global_sentence_id": 79, "edu_l1_label": "EDU_O"}, {"txt": "See also Figure S1 and Table S1.", "language": "english", "position": {"atoms": [{"position_id": 4557, "txt": "See also ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[6]"}, {"position_id": 4559, "txt": "Figure S1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[6]/a[1]/span/span"}, {"position_id": 4561, "txt": " and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[6]/a[1]"}, {"position_id": 4563, "txt": "Table S1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[6]/a[2]/span/span"}, {"position_id": 4565, "txt": ".", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[1]/figure/span[2]/span/div[6]/a[2]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 80, "edu_l1_label": "EDU_O"}, {"txt": "Notably, similar to yeast point centromeres, regional centromere cores in humans were also markedly enriched for large MSPs of chromatin, forming some of the most accessible chromatin domains within the entire human genome (Figures 2B and 2C).", "language": "english", "position": {"atoms": [{"position_id": 4567, "txt": "Notably, similar to yeast point centromeres, regional centromere cores in humans were also markedly enriched for large MSPs of chromatin, forming some of the most accessible chromatin domains within the entire human genome (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[2]"}, {"position_id": 4569, "txt": "Figures 2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[2]/a[1]/span/span"}, {"position_id": 4571, "txt": "B and 2C).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[2]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": " However, in stark contrast to traditional heterochromatin or euchromatin domains, individual chromatin fibers originating from the centromere core contained both tightly compacted nucleosome arrays and highly accessible chromatin features abutting each other (Figures 2A and 2C).", "language": "english", "position": {"atoms": [{"position_id": 4572, "txt": " However, in stark contrast to traditional heterochromatin or euchromatin domains, individual chromatin fibers originating from the centromere core contained both tightly compacted nucleosome arrays and highly accessible chromatin features abutting each other (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[2]/a[1]"}, {"position_id": 4574, "txt": "Figures 2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[2]/a[2]/span/span"}, {"position_id": 4576, "txt": "A and 2C).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[2]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "Accessible chromatin patches were infrequently observed within alpha-satellite regions outside of the centromere core, indicating that they are a unique feature of kinetochore binding.", "language": "english", "position": {"atoms": [{"position_id": 4578, "txt": "Accessible chromatin patches were infrequently observed within alpha-satellite regions outside of the centromere core, indicating that they are a unique feature of kinetochore binding.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": " Although these accessible chromatin patches were heterogeneously placed across individual chromatin fibers within the centromere core, these patches nonetheless clustered along individual chromatin fibers within the centromere core (Figure 2D).", "language": "english", "position": {"atoms": [{"position_id": 4579, "txt": " Although these accessible chromatin patches were heterogeneously placed across individual chromatin fibers within the centromere core, these patches nonetheless clustered along individual chromatin fibers within the centromere core (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]"}, {"position_id": 4581, "txt": "Figure 2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[1]/span/span"}, {"position_id": 4583, "txt": "D).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": " In addition, each chromosome molecule contains only 6–28 accessible chromatin patches within its 80–220 kbp centromere core (Figure 2E), a value that mirrors estimates of the number of kinetochore microtubules that form on individual human centromeres.43,44 Notably, longer chromosomes have significantly more accessible chromatin patches than shorter chromosomes, and after controlling for chromosome length, we observed that chromosomes with the highest rate of missegregation in human RPE-1 cells42 had among the lowest amounts of accessible chromatin patches (Figure 2E).", "language": "english", "position": {"atoms": [{"position_id": 4584, "txt": " In addition, each chromosome molecule contains only 6–28 accessible chromatin patches within its 80–220 kbp centromere core (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[1]"}, {"position_id": 4586, "txt": "Figure 2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[2]/span/span"}, {"position_id": 4588, "txt": "E), a value that mirrors estimates of the number of kinetochore microtubules that form on individual human centromeres.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[2]"}, {"position_id": 4590, "txt": "43", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[3]/span/span/sup"}, {"position_id": 4592, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/sup"}, {"position_id": 4594, "txt": "44", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[4]/span/span/sup"}, {"position_id": 4596, "txt": " Notably, longer chromosomes have significantly more accessible chromatin patches than shorter chromosomes, and after controlling for chromosome length, we observed that chromosomes with the highest rate of missegregation in human RPE-1 cells", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[4]"}, {"position_id": 4598, "txt": "42", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[5]/span/span/sup"}, {"position_id": 4600, "txt": " had among the lowest amounts of accessible chromatin patches (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[5]"}, {"position_id": 4602, "txt": "Figure 2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[6]/span/span"}, {"position_id": 4604, "txt": "E).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": " Together, these findings establish that the centromere core in human CHM13 cells contains a dichotomous chromatin organization (i.e., dichromatin) not found elsewhere in the genome, which is characterized by highly accessible chromatin patches and large di-nucleosome-sized footprints, the combination of which likely directly relates to kinetochore attachment and function within the centromere core.", "language": "english", "position": {"atoms": [{"position_id": 4605, "txt": " Together, these findings establish that the centromere core in human CHM13 cells contains a dichotomous chromatin organization (i.e., dichromatin) not found elsewhere in the genome, which is characterized by highly accessible chromatin patches and large di-nucleosome-sized footprints, the combination of which likely directly relates to kinetochore attachment and function within the centromere core.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[2]/div[3]/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "CENP-B guides centromere core dichromatin to mirror the alpha-satellite DNA repeat", "language": "english", "position": {"atoms": [{"position_id": 4607, "txt": "CENP-B guides centromere core dichromatin to mirror the alpha-satellite DNA repeat", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 56, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "We next sought to investigate the impact that the alpha-satellite repeat sequence has on dichromatin formation within CHM13 centromere cores.", "language": "english", "position": {"atoms": [{"position_id": 4609, "txt": "We next sought to investigate the impact that the alpha-satellite repeat sequence has on dichromatin formation within CHM13 centromere cores.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": " The 171 bp alpha-satellite repeat is known to preferentially position CENP-A containing nucleosomes both in vitro and in vivo,40,45 so we first sought to identify whether we could observe this preferential positioning along extended alpha-satellite arrays using Fiber-seq data.", "language": "english", "position": {"atoms": [{"position_id": 4610, "txt": " The 171 bp alpha-satellite repeat is known to preferentially position CENP-A containing nucleosomes both ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div"}, {"position_id": 4612, "txt": "in vitro", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/em[1]"}, {"position_id": 4614, "txt": " and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/em[1]"}, {"position_id": 4616, "txt": "in vivo", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/em[2]"}, {"position_id": 4618, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/em[2]"}, {"position_id": 4620, "txt": "40", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[1]/span/span/sup"}, {"position_id": 4622, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/sup[1]"}, {"position_id": 4624, "txt": "45", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[2]/span/span/sup"}, {"position_id": 4626, "txt": " so we first sought to identify whether we could observe this preferential positioning along extended alpha-satellite arrays using Fiber-seq data.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 57, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": " To identify the most commonly represented spacing of m6A-modified bases (i.e., the chromatin/nucleosome repeat unit length), we applied a Fourier transform to m6A-modified bases present along each fiber.", "language": "english", "position": {"atoms": [{"position_id": 4627, "txt": " To identify the most commonly represented spacing of m6A-modified bases (i.e., the chromatin/nucleosome repeat unit length), we applied a Fourier transform to m6A-modified bases present along each fiber.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": " Importantly, this approach for measuring nucleosome positioning within the centromere is not subject to prior mapping biases, as is observed with short-read methods like MNase-seq.", "language": "english", "position": {"atoms": [{"position_id": 4628, "txt": " Importantly, this approach for measuring nucleosome positioning within the centromere is not subject to prior mapping biases, as is observed with short-read methods like MNase-seq.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": " We observed that chromatin fibers originating from euchromatic and non-alpha-satellite heterochromatic genomic regions have nucleosomes repeating every ∼179–190 bp (Figures 3A, 3B, and S2), consistent with prior reports.46,47 In contrast, centromere core alpha-satellite regions contained a nucleosome repeat unit of 170 bp, mirroring the underlying repeat length of alpha-satellite DNA (Figures 3A and 3B).", "language": "english", "position": {"atoms": [{"position_id": 4629, "txt": " We observed that chromatin fibers originating from euchromatic and non-alpha-satellite heterochromatic genomic regions have nucleosomes repeating every ∼179–190 bp (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[2]"}, {"position_id": 4631, "txt": "Figures 3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[3]/span/span"}, {"position_id": 4633, "txt": "A, 3B, and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[3]"}, {"position_id": 4635, "txt": "S2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[4]/span/span"}, {"position_id": 4637, "txt": "), consistent with prior reports.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[4]"}, {"position_id": 4639, "txt": "46", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[5]/span/span/sup"}, {"position_id": 4641, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/sup[2]"}, {"position_id": 4643, "txt": "47", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[6]/span/span/sup"}, {"position_id": 4645, "txt": " In contrast, centromere core alpha-satellite regions contained a nucleosome repeat unit of 170 bp, mirroring the underlying repeat length of alpha-satellite DNA (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[6]"}, {"position_id": 4647, "txt": "Figures 3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[7]/span/span"}, {"position_id": 4649, "txt": "A and 3B).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": " This reveals that the predominant positioning of nucleosome arrays within the centromere core is directly related to the size of the underlying alpha-satellite repeat.", "language": "english", "position": {"atoms": [{"position_id": 4650, "txt": " This reveals that the predominant positioning of nucleosome arrays within the centromere core is directly related to the size of the underlying alpha-satellite repeat.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": " However, inactive alpha-satellite HORs, as well as divergent/monomeric alpha-satellite HORs, contained a nucleosome repeat unit of 190–193 bp (Figure 3B), indicating that the alpha-satellite repeat in and of itself is not sufficient for enabling chromatin to mirror the underlying DNA repeat.", "language": "english", "position": {"atoms": [{"position_id": 4651, "txt": " However, inactive alpha-satellite HORs, as well as divergent/monomeric alpha-satellite HORs, contained a nucleosome repeat unit of 190–193 bp (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[7]"}, {"position_id": 4653, "txt": "Figure 3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[8]/span/span"}, {"position_id": 4655, "txt": "B), indicating that the alpha-satellite repeat in and of itself is not sufficient for enabling chromatin to mirror the underlying DNA repeat.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/div/a[8]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3vzkHM2TEuufhSAhl4Aw8Cu.jpeg", "language": "english", "position": {"atoms": [{"position_id": 790, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3vzkHM2TEuufhSAhl4Aw8Cu.jpeg", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[1]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 58, "global_sentence_id": 95, "edu_l1_label": "EDU_O"}, {"txt": "Figure 3. Centromere core chromatin mirrors the alpha-satellite DNA repeat", "language": "english", "position": {"atoms": [{"position_id": 4657, "txt": "Figure 3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[2]/span/p/span"}, {"position_id": 4659, "txt": ". Centromere core chromatin mirrors the alpha-satellite DNA repeat", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[2]/span/p/span"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 59, "global_sentence_id": 96, "edu_l1_label": "EDU_O"}, {"txt": "(A) Box-and-whisker plots of the chromatin repeat lengths from various genomic regions.", "language": "english", "position": {"atoms": [{"position_id": 4661, "txt": "(A) Box-and-whisker plots of the chromatin repeat lengths from various genomic regions.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[2]/span/div[1]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 60, "global_sentence_id": 97, "edu_l1_label": "EDU_O"}, {"txt": " Specifically, m6A-marked chromatin features from individual chromatin fibers were subjected to Fourier transform, and the per-molecule spectral densities were then aggregated across different fibers from the same genomic region.", "language": "english", "position": {"atoms": [{"position_id": 4662, "txt": " Specifically, m6A-marked chromatin features from individual chromatin fibers were subjected to Fourier transform, and the per-molecule spectral densities were then aggregated across different fibers from the same genomic region.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[2]/span/div[1]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 60, "global_sentence_id": 98, "edu_l1_label": "EDU_O"}, {"txt": "(B) Heatmap of the median spectral density for various chromatin repeat lengths and the peak chromatin repeat length(s) from fibers contained within the euchromatic genome or various satellite repeat regions.", "language": "english", "position": {"atoms": [{"position_id": 4664, "txt": "(B) Heatmap of the median spectral density for various chromatin repeat lengths and the peak chromatin repeat length(s) from fibers contained within the euchromatic genome or various satellite repeat regions.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[2]/span/div[2]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 61, "global_sentence_id": 99, "edu_l1_label": "EDU_O"}, {"txt": " The satellite DNA repeat unit for each region is also indicated.", "language": "english", "position": {"atoms": [{"position_id": 4665, "txt": " The satellite DNA repeat unit for each region is also indicated.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[2]/span/div[2]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 61, "global_sentence_id": 100, "edu_l1_label": "EDU_O"}, {"txt": "(C) Plot showing the average distance between CENP-B boxes along each centromere core within CHM13 cells alongside a heatmap of the median spectral density for the centromere core and euchromatic regions along each centromere.", "language": "english", "position": {"atoms": [{"position_id": 4667, "txt": "(C) Plot showing the average distance between CENP-B boxes along each centromere core within CHM13 cells alongside a heatmap of the median spectral density for the centromere core and euchromatic regions along each centromere.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[2]/span/div[3]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 62, "global_sentence_id": 101, "edu_l1_label": "EDU_O"}, {"txt": "See also Figure S2.", "language": "english", "position": {"atoms": [{"position_id": 4669, "txt": "See also ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[2]/span/div[4]"}, {"position_id": 4671, "txt": "Figure S2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[2]/span/div[4]/a/span/span"}, {"position_id": 4673, "txt": ".", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[1]/figure/span[2]/span/div[4]/a"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 63, "global_sentence_id": 102, "edu_l1_label": "EDU_O"}, {"txt": "In addition to CENP-A, alpha-satellite repeats within centromere cores in humans are also bound by the sequence-specific DNA-binding protein CENP-B, which occupies a non-palindromic A/T-rich 17 bp CENP-B box3,4 that predominantly punctuates alternating repeats within alpha-satellite HORs48 (Figures 3C and S3A).", "language": "english", "position": {"atoms": [{"position_id": 4675, "txt": "In addition to CENP-A, alpha-satellite repeats within centromere cores in humans are also bound by the sequence-specific DNA-binding protein CENP-B, which occupies a non-palindromic A/T-rich 17 bp CENP-B box", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div"}, {"position_id": 4677, "txt": "3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[1]/span/span/sup"}, {"position_id": 4679, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/sup[1]"}, {"position_id": 4681, "txt": "4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[2]/span/span/sup"}, {"position_id": 4683, "txt": " that predominantly punctuates alternating repeats within alpha-satellite HORs", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[2]"}, {"position_id": 4685, "txt": "48", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[3]/span/span/sup"}, {"position_id": 4687, "txt": " (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[3]"}, {"position_id": 4689, "txt": "Figures 3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[4]/span/span"}, {"position_id": 4691, "txt": "C and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[4]"}, {"position_id": 4693, "txt": "S3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[5]/span/span"}, {"position_id": 4695, "txt": "A).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[5]"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": " CENP-B occupancy is known to induce neighboring nucleosome positioning along these repeats in vitro,49,50 and CpG methylation is a known modifier of CENP-B affinity and occupancy in vitro.51,52 Given these features, we next sought to determine whether CENP-B occupancy could be playing a role in the phasing of dichromatin to the alpha-satellite repeat within the centromere core.", "language": "english", "position": {"atoms": [{"position_id": 4696, "txt": " CENP-B occupancy is known to induce neighboring nucleosome positioning along these repeats ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[5]"}, {"position_id": 4698, "txt": "in vitro", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[1]"}, {"position_id": 4700, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[1]"}, {"position_id": 4702, "txt": "49", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[6]/span/span/sup"}, {"position_id": 4704, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/sup[2]"}, {"position_id": 4706, "txt": "50", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[7]/span/span/sup"}, {"position_id": 4708, "txt": " and CpG methylation is a known modifier of CENP-B affinity and occupancy ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[7]"}, {"position_id": 4710, "txt": "in vitro", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[2]"}, {"position_id": 4712, "txt": ".", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[2]"}, {"position_id": 4714, "txt": "51", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[8]/span/span/sup"}, {"position_id": 4716, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/sup[3]"}, {"position_id": 4718, "txt": "52", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[9]/span/span/sup"}, {"position_id": 4720, "txt": " Given these features, we next sought to determine whether CENP-B occupancy could be playing a role in the phasing of dichromatin to the alpha-satellite repeat within the centromere core.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[9]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 64, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": " CENP-B occupancy along the CENP-B box is readily resolved in vitro using DNaseI footprinting,49 and we similarly found that CENP-B occupancy can be resolved in vivo using Fiber-seq (Figures 4A and 4B).", "language": "english", "position": {"atoms": [{"position_id": 4721, "txt": " CENP-B occupancy along the CENP-B box is readily resolved ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[9]"}, {"position_id": 4723, "txt": "in vitro", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[3]"}, {"position_id": 4725, "txt": " using DNaseI footprinting,", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[3]"}, {"position_id": 4727, "txt": "49", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[10]/span/span/sup"}, {"position_id": 4729, "txt": " and we similarly found that CENP-B occupancy can be resolved ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[10]"}, {"position_id": 4731, "txt": "in vivo", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[4]"}, {"position_id": 4733, "txt": " using Fiber-seq (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[4]"}, {"position_id": 4735, "txt": "Figures 4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[11]/span/span"}, {"position_id": 4737, "txt": "A and 4B).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[11]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 64, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": " Specifically, CENP-B boxes located within the centromere core demonstrate occupancy with an MTase footprint that mirrors the in vitro CENP-B DNaseI footprint and the protein-DNA contacts within the crystal structure of the CENP-B-DNA complex3,49,53 (Figure 4B).", "language": "english", "position": {"atoms": [{"position_id": 4738, "txt": " Specifically, CENP-B boxes located within the centromere core demonstrate occupancy with an MTase footprint that mirrors the ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[11]"}, {"position_id": 4740, "txt": "in vitro", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[5]"}, {"position_id": 4742, "txt": " CENP-B DNaseI footprint and the protein-DNA contacts within the crystal structure of the CENP-B-DNA complex", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[5]"}, {"position_id": 4744, "txt": "3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[12]/span/span/sup"}, {"position_id": 4746, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/sup[4]"}, {"position_id": 4748, "txt": "49", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[13]/span/span/sup"}, {"position_id": 4750, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/sup[5]"}, {"position_id": 4752, "txt": "53", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[14]/span/span/sup"}, {"position_id": 4754, "txt": " (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[14]"}, {"position_id": 4756, "txt": "Figure 4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[15]/span/span"}, {"position_id": 4758, "txt": "B).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[15]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 64, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": " Furthermore, consistent with prior in vitro findings,51,52 we observed that CpG methylation at even one of the 2 CpG di-nucleotides within the CENP-B box largely abrogates CENP-B occupancy within the centromere core in vivo (Figures 4B, 4C, and S3B), indicating that CpG methylation plays a dominant role in modulating CENP-B occupancy within the centromere core.", "language": "english", "position": {"atoms": [{"position_id": 4759, "txt": " Furthermore, consistent with prior ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[15]"}, {"position_id": 4761, "txt": "in vitro", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[6]"}, {"position_id": 4763, "txt": " findings,", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[6]"}, {"position_id": 4765, "txt": "51", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[16]/span/span/sup"}, {"position_id": 4767, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/sup[6]"}, {"position_id": 4769, "txt": "52", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[17]/span/span/sup"}, {"position_id": 4771, "txt": " we observed that CpG methylation at even one of the 2 CpG di-nucleotides within the CENP-B box largely abrogates CENP-B occupancy within the centromere core ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[17]"}, {"position_id": 4773, "txt": "in vivo", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[7]"}, {"position_id": 4775, "txt": " (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/em[7]"}, {"position_id": 4777, "txt": "Figures 4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[18]/span/span"}, {"position_id": 4779, "txt": "B, 4C, and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[18]"}, {"position_id": 4781, "txt": "S3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[19]/span/span"}, {"position_id": 4783, "txt": "B), indicating that CpG methylation plays a dominant role in modulating CENP-B occupancy within the centromere core.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[19]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 64, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": " Notably, we found that CENP-B boxes that lack CpG methylation within the centromere core preferentially overlap accessible chromatin patches and position nucleosomes immediately adjacent to them (Figures S3C and S3D), thereby organizing dichromatin within the centromere core relative to the underlying alpha-satellite DNA repeat.", "language": "english", "position": {"atoms": [{"position_id": 4784, "txt": " Notably, we found that CENP-B boxes that lack CpG methylation within the centromere core preferentially overlap accessible chromatin patches and position nucleosomes immediately adjacent to them (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[19]"}, {"position_id": 4786, "txt": "Figures S3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[20]/span/span"}, {"position_id": 4788, "txt": "C and S3D), thereby organizing dichromatin within the centromere core relative to the underlying alpha-satellite DNA repeat.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[20]"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": " However, this feature was limited to the centromere core, as CENP-B boxes outside of the centromere core were largely unoccupied, irrespective of their CpG methylation status (Figure 4C), with weak CENP-B occupancy only observed at sporadic unmethylated CENP-B boxes located within alpha-satellite HORs flanking the centromere core, a pattern consistent with prior imaging studies.7 Together, these findings suggest a model whereby CENP-B occupancy at hypo-CpG-methylated CENP-B boxes within the centromere core organizes the chromatin architecture to mirror the underlying alpha-satellite repeat.", "language": "english", "position": {"atoms": [{"position_id": 4789, "txt": " However, this feature was limited to the centromere core, as CENP-B boxes outside of the centromere core were largely unoccupied, irrespective of their CpG methylation status (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[20]"}, {"position_id": 4791, "txt": "Figure 4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[21]/span/span"}, {"position_id": 4793, "txt": "C), with weak CENP-B occupancy only observed at sporadic unmethylated CENP-B boxes located within alpha-satellite HORs flanking the centromere core, a pattern consistent with prior imaging studies.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[21]"}, {"position_id": 4795, "txt": "7", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[22]/span/span/sup"}, {"position_id": 4797, "txt": " Together, these findings suggest a model whereby CENP-B occupancy at hypo-CpG-methylated CENP-B boxes within the centromere core organizes the chromatin architecture to mirror the underlying alpha-satellite repeat.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/div/a[22]"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "<img 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CENP-B selectively occupies and phases dichromatin within the centromere core", "language": "english", "position": {"atoms": [{"position_id": 4799, "txt": "Figure 4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/p/span"}, {"position_id": 4801, "txt": ". CENP-B selectively occupies and phases dichromatin within the centromere core", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/p/span"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 66, "global_sentence_id": 111, "edu_l1_label": "EDU_O"}, {"txt": "(A) Genomic locus showing bulk CpG methylation and per-molecule m6A-marked chromatin architectures and CpG methylations demonstrating single-molecule footprints at centromere core CENP-B boxes.", "language": "english", "position": {"atoms": [{"position_id": 4803, "txt": "(A) Genomic locus showing bulk CpG methylation and per-molecule m6A-marked chromatin architectures and CpG methylations demonstrating single-molecule footprints at centromere core CENP-B boxes.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[1]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 67, "global_sentence_id": 112, "edu_l1_label": "EDU_O"}, {"txt": "(B) Structure of CENP-B bound to a CENP-B box (PDB:", "language": "english", "position": {"atoms": [{"position_id": 4805, "txt": "(B) Structure of CENP-B bound to a CENP-B box (PDB:", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[2]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 68, "global_sentence_id": 113, "edu_l1_label": "EDU_O"}, {"txt": " 1HLV53), as well as in vitro DNaseI footprint of a CENP-B-occupied CENP-B box relative to aggregate m6A methylation profile at centromere core CENP-B boxes containing various levels of methylated CpGs (mCpGs).", "language": "english", "position": {"atoms": [{"position_id": 4806, "txt": " ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[2]"}, {"position_id": 4808, "txt": "1HLV", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[2]/a[1]/span/span"}, {"position_id": 4810, "txt": "53", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[2]/a[2]/span/span/sup"}, {"position_id": 4812, "txt": "), as well as ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[2]/a[2]"}, {"position_id": 4814, "txt": "in vitro", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[2]/em"}, {"position_id": 4816, "txt": " DNaseI footprint of a CENP-B-occupied CENP-B box relative to aggregate m6A methylation profile at centromere core CENP-B boxes containing various levels of methylated CpGs (mCpGs).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[2]/em"}]}, "tags": ["img", "em"], "label": "figure_title", "web_segment_id": 68, "global_sentence_id": 114, "edu_l1_label": "EDU_O"}, {"txt": "(C) Box-and-whisker plots of footprint scores at CENP-B boxes within various satellite regions as a function of mCpG status at the CENP-B box.", "language": "english", "position": {"atoms": [{"position_id": 4818, "txt": "(C) Box-and-whisker plots of footprint scores at CENP-B boxes within various satellite regions as a function of mCpG status at the CENP-B box.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[3]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 69, "global_sentence_id": 115, "edu_l1_label": "EDU_O"}, {"txt": " Higher scores quantitatively indicate greater CENP-B occupancy (∗p < 0.01 Mann-Whitney).", "language": "english", "position": {"atoms": [{"position_id": 4819, "txt": " Higher scores quantitatively indicate greater CENP-B occupancy (∗", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[3]"}, {"position_id": 4821, "txt": "p", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[3]/em"}, {"position_id": 4823, "txt": " < 0.01 Mann-Whitney).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[3]/em"}]}, "tags": ["img", "em"], "label": "figure_title", "web_segment_id": 69, "global_sentence_id": 116, "edu_l1_label": "EDU_O"}, {"txt": "(D) Average density of di-nucleosome footprints and accessible chromatin patches within various genomic regions along the Y chromosome from HG002 using Fiber-seq data from the GM24385 cell line.", "language": "english", "position": {"atoms": [{"position_id": 4825, "txt": "(D) Average density of di-nucleosome footprints and accessible chromatin patches within various genomic regions along the Y chromosome from HG002 using Fiber-seq data from the GM24385 cell line.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[4]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 70, "global_sentence_id": 117, "edu_l1_label": "EDU_O"}, {"txt": "(E) Heatmap of the median spectral density for centromere core and euchromatic regions along the Y chromosome from HG002 using Fiber-seq data from the GM24385 cell line.", "language": "english", "position": {"atoms": [{"position_id": 4827, "txt": "(E) Heatmap of the median spectral density for centromere core and euchromatic regions along the Y chromosome from HG002 using Fiber-seq data from the GM24385 cell line.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[5]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 71, "global_sentence_id": 118, "edu_l1_label": "EDU_O"}, {"txt": "See also Figure S3.", "language": "english", "position": {"atoms": [{"position_id": 4829, "txt": "See also ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[6]"}, {"position_id": 4831, "txt": "Figure S3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[6]/a/span/span"}, {"position_id": 4833, "txt": ".", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[2]/figure/span[2]/span/div[6]/a"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 72, "global_sentence_id": 119, "edu_l1_label": "EDU_O"}, {"txt": "To disentangle the role of CENP-B in dichromatin formation, we evaluated chromatin architectures along the Y chromosome centromere, which is formed along alpha-satellite repeats that lack CENP-B boxes.54 The application of Fiber-seq to 46,XY GM24385 cells followed by mapping to the complete GM24385 reference genome (i.e., HG002)10 demonstrated a marked enrichment in both compacted di-nucleosome footprints and large patches of accessible chromatin within the Y chromosome centromere core (Figures 4D and S3E).", "language": "english", "position": {"atoms": [{"position_id": 4835, "txt": "To disentangle the role of CENP-B in dichromatin formation, we evaluated chromatin architectures along the Y chromosome centromere, which is formed along alpha-satellite repeats that lack CENP-B boxes.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]"}, {"position_id": 4837, "txt": "54", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[1]/span/span/sup"}, {"position_id": 4839, "txt": " The application of Fiber-seq to 46,XY GM24385 cells followed by mapping to the complete GM24385 reference genome (i.e., HG002)", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[1]"}, {"position_id": 4841, "txt": "10", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[2]/span/span/sup"}, {"position_id": 4843, "txt": " demonstrated a marked enrichment in both compacted di-nucleosome footprints and large patches of accessible chromatin within the Y chromosome centromere core (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[2]"}, {"position_id": 4845, "txt": "Figures 4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[3]/span/span"}, {"position_id": 4847, "txt": "D and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[3]"}, {"position_id": 4849, "txt": "S3", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[4]/span/span"}, {"position_id": 4851, "txt": "E).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[4]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": " However, in contrast to studies using the short-read sequencing method,40 higher-order chromatin organization within the centromere core region of chromosome Y did not mirror the underlying alpha-satellite repeat unit but rather was a continuation of the canonical chromatin repeat unit observed throughout the rest of the HG002 genome (Figure 4E).", "language": "english", "position": {"atoms": [{"position_id": 4852, "txt": " However, in contrast to studies using the short-read sequencing method,", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[4]"}, {"position_id": 4854, "txt": "40", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[5]/span/span/sup"}, {"position_id": 4856, "txt": " higher-order chromatin organization within the centromere core region of chromosome Y did not mirror the underlying alpha-satellite repeat unit but rather was a continuation of the canonical chromatin repeat unit observed throughout the rest of the HG002 genome (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[5]"}, {"position_id": 4858, "txt": "Figure 4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[6]/span/span"}, {"position_id": 4860, "txt": "E).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": " Together, these findings indicate that the phasing of chromatin architectures along the alpha-satellite HOR is intricately intertwined with that of CENP-B occupancy and that dichromatin formation within these regions can form irrespective of CENP-B.", "language": "english", "position": {"atoms": [{"position_id": 4861, "txt": " Together, these findings indicate that the phasing of chromatin architectures along the alpha-satellite HOR is intricately intertwined with that of CENP-B occupancy and that dichromatin formation within these regions can form irrespective of CENP-B.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[3]/div[3]/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "Centromere core dichromatin architecture is conserved across highly divergent regional centromeres", "language": "english", "position": {"atoms": [{"position_id": 4863, "txt": "Centromere core dichromatin architecture is conserved across highly divergent regional centromeres", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 74, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "We next sought to evaluate the conservation of centromere core dichromatin architecture between multiple human genomes, as the underlying DNA sequence and structure of each centromere can markedly differ between individuals.38 To accomplish this, we applied Fiber-seq to CHM1 and GM24385 cells, as a reference genome for all centromeres within both of these cells was recently resolved.38 Notably, centromere core regions (i.e., hypo-CpG-methylated regions) within each centromere markedly diverge in both their sequence content and location when compared to CHM13 cells (Figures 5A, 5B, and S4).", "language": "english", "position": {"atoms": [{"position_id": 4865, "txt": "We next sought to evaluate the conservation of centromere core dichromatin architecture between multiple human genomes, as the underlying DNA sequence and structure of each centromere can markedly differ between individuals.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div"}, {"position_id": 4867, "txt": "38", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[1]/span/span/sup"}, {"position_id": 4869, "txt": " To accomplish this, we applied Fiber-seq to CHM1 and GM24385 cells, as a reference genome for all centromeres within both of these cells was recently resolved.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[1]"}, {"position_id": 4871, "txt": "38", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[2]/span/span/sup"}, {"position_id": 4873, "txt": " Notably, centromere core regions (i.e., hypo-CpG-methylated regions) within each centromere markedly diverge in both their sequence content and location when compared to CHM13 cells (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[2]"}, {"position_id": 4875, "txt": "Figures 5", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[3]/span/span"}, {"position_id": 4877, "txt": "A, 5B, and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[3]"}, {"position_id": 4879, "txt": "S4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[4]/span/span"}, {"position_id": 4881, "txt": ").", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[4]"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": " However, despite the sequence divergence of centromere cores within CHM13 cells or between CHM13 cells and CHM1 and GM24385 cells, these centromere core regions are still marked by dichromatin—exhibiting both compacted di-nucleosome footprints as well as large patches of accessible chromatin intermingled along the same chromatin fiber (Figures 5B, 5C, and S4A).", "language": "english", "position": {"atoms": [{"position_id": 4882, "txt": " However, despite the sequence divergence of centromere cores within CHM13 cells or between CHM13 cells and CHM1 and GM24385 cells, these centromere core regions are still marked by dichromatin—exhibiting both compacted di-nucleosome footprints as well as large patches of accessible chromatin intermingled along the same chromatin fiber (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[4]"}, {"position_id": 4884, "txt": "Figures 5", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[5]/span/span"}, {"position_id": 4886, "txt": "B, 5C, and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[5]"}, {"position_id": 4888, "txt": "S4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[6]/span/span"}, {"position_id": 4890, "txt": "A).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": " In addition, the higher-order chromatin organization along the autosomes and X chromosome within CHM1 and GM24385 cells (i.e., centromeres that contain CENP-B boxes) similarly displayed a chromatin repeat unit of 170 bp selectively within centromere cores (Figures S4B and S4C).", "language": "english", "position": {"atoms": [{"position_id": 4891, "txt": " In addition, the higher-order chromatin organization along the autosomes and X chromosome within CHM1 and GM24385 cells (i.e., centromeres that contain CENP-B boxes) similarly displayed a chromatin repeat unit of 170 bp selectively within centromere cores (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[6]"}, {"position_id": 4893, "txt": "Figures S4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[7]/span/span"}, {"position_id": 4895, "txt": "B and S4C).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": " Together, these findings demonstrate that dichromatin is a conserved feature of chromatin compaction within the centromere core in humans.", "language": "english", "position": {"atoms": [{"position_id": 4896, "txt": " Together, these findings demonstrate that dichromatin is a conserved feature of chromatin compaction within the centromere core in humans.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/div/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/246x3a31cqOV3UTQcj1axcgA.jpeg", "language": "english", "position": {"atoms": [{"position_id": 997, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/246x3a31cqOV3UTQcj1axcgA.jpeg", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/figure/span[1]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 76, "global_sentence_id": 128, "edu_l1_label": "EDU_O"}, {"txt": "Figure 5. Dichromatin is a conserved feature of centromere core chromatin in humans", "language": "english", "position": {"atoms": [{"position_id": 4898, "txt": "Figure 5", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/figure/span[2]/span/p/span"}, {"position_id": 4900, "txt": ". Dichromatin is a conserved feature of centromere core chromatin in humans", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/figure/span[2]/span/p/span"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 77, "global_sentence_id": 129, "edu_l1_label": "EDU_O"}, {"txt": "(A and B) Genomic locus showing chromosome 5 centromere in both CHM13 (A) and CHM1 (B) cells, including CpG methylation and accessible chromatin patches.", "language": "english", "position": {"atoms": [{"position_id": 4902, "txt": "(A and B) Genomic locus showing chromosome 5 centromere in both CHM13 (A) and CHM1 (B) cells, including CpG methylation and accessible chromatin patches.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/figure/span[2]/span/div[1]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 78, "global_sentence_id": 130, "edu_l1_label": "EDU_O"}, {"txt": " (Bottom) Single-molecule chromatin architecture along individual alpha-satellite repeats within centromere core and non-core alpha-satellite repeats.", "language": "english", "position": {"atoms": [{"position_id": 4903, "txt": " (Bottom) Single-molecule chromatin architecture along individual alpha-satellite repeats within centromere core and non-core alpha-satellite repeats.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/figure/span[2]/span/div[1]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 78, "global_sentence_id": 131, "edu_l1_label": "EDU_O"}, {"txt": "(C) Hexbin plot showing the single-molecule density of di-nucleosome footprints and accessible chromatin patches within various CHM1 centromere cores and surrounding regions.", "language": "english", "position": {"atoms": [{"position_id": 4905, "txt": "(C) Hexbin plot showing the single-molecule density of di-nucleosome footprints and accessible chromatin patches within various CHM1 centromere cores and surrounding regions.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/figure/span[2]/span/div[2]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 79, "global_sentence_id": 132, "edu_l1_label": "EDU_O"}, {"txt": "See also Figure S4.", "language": "english", "position": {"atoms": [{"position_id": 4907, "txt": "See also ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/figure/span[2]/span/div[3]"}, {"position_id": 4909, "txt": "Figure S4", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/figure/span[2]/span/div[3]/a/span/span"}, {"position_id": 4911, "txt": ".", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[1]/figure/span[2]/span/div[3]/a"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 80, "global_sentence_id": 133, "edu_l1_label": "EDU_O"}, {"txt": "To understand if dichromatin is a feature of regional centromeres that lack alpha-satellite repeats, we next applied Fiber-seq to resolve chromatin architectures within gibbon centromeres.", "language": "english", "position": {"atoms": [{"position_id": 4913, "txt": "To understand if dichromatin is a feature of regional centromeres that lack alpha-satellite repeats, we next applied Fiber-seq to resolve chromatin architectures within gibbon centromeres.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": " Gibbons have undergone rapid karyotypic evolution accompanied by the inactivation of many ancestral centromeres and the formation of evolutionary new centromeres55 that are largely composed of transposable elements that lack CENP-B boxes and alpha-satellite repeats.56 We first assembled and validated the sequence of five centromeres from the eastern hoolock gibbon (Hoolock leuconedys) by applying Oxford Nanopore (ONT) sequencing, Hi-C, Fiber-seq, and CENP-A Cleavage Under Targets & Release Using Nuclease (CUT&RUN) to a 38,XX lymphoblastoid cell line derived from Betty57 (Figure 6A).", "language": "english", "position": {"atoms": [{"position_id": 4914, "txt": " Gibbons have undergone rapid karyotypic evolution accompanied by the inactivation of many ancestral centromeres and the formation of evolutionary new centromeres", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div"}, {"position_id": 4916, "txt": "55", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[1]/span/span/sup"}, {"position_id": 4918, "txt": " that are largely composed of transposable elements that lack CENP-B boxes and alpha-satellite repeats.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[1]"}, {"position_id": 4920, "txt": "56", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[2]/span/span/sup"}, {"position_id": 4922, "txt": " We first assembled and validated the sequence of five centromeres from the eastern hoolock gibbon (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[2]"}, {"position_id": 4924, "txt": "Hoolock leuconedys", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/em"}, {"position_id": 4926, "txt": ") by applying Oxford Nanopore (ONT) sequencing, Hi-C, Fiber-seq, and CENP-A Cleavage Under Targets & Release Using Nuclease (CUT&RUN) to a 38,XX lymphoblastoid cell line derived from Betty", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/em"}, {"position_id": 4928, "txt": "57", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[3]/span/span/sup"}, {"position_id": 4930, "txt": " (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[3]"}, {"position_id": 4932, "txt": "Figure 6", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[4]/span/span"}, {"position_id": 4934, "txt": "A).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[4]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 81, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": " These centromeres contained hypo-CpG-methylated regions corresponding to sites of CENP-A occupancy (Figures 6B and S5).", "language": "english", "position": {"atoms": [{"position_id": 4935, "txt": " These centromeres contained hypo-CpG-methylated regions corresponding to sites of CENP-A occupancy (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[4]"}, {"position_id": 4937, "txt": "Figures 6", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[5]/span/span"}, {"position_id": 4939, "txt": "B and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[5]"}, {"position_id": 4941, "txt": "S5", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[6]/span/span"}, {"position_id": 4943, "txt": ").", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": " However, the sequence of these centromere cores was largely derived from transposable elements, not alpha-satellite repeats.", "language": "english", "position": {"atoms": [{"position_id": 4944, "txt": " However, the sequence of these centromere cores was largely derived from transposable elements, not alpha-satellite repeats.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": " Notably, despite the lack of alpha-satellite repeats within these centromere cores, these regions were still marked by dichromatin—exhibiting both compacted di-nucleosome footprints and clustered patches of accessible chromatin intermingled along the same chromatin fibers (Figures 6B, 6C, and S5E).", "language": "english", "position": {"atoms": [{"position_id": 4945, "txt": " Notably, despite the lack of alpha-satellite repeats within these centromere cores, these regions were still marked by dichromatin—exhibiting both compacted di-nucleosome footprints and clustered patches of accessible chromatin intermingled along the same chromatin fibers (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[6]"}, {"position_id": 4947, "txt": "Figures 6", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[7]/span/span"}, {"position_id": 4949, "txt": "B, 6C, and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[7]"}, {"position_id": 4951, "txt": "S5", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[8]/span/span"}, {"position_id": 4953, "txt": "E).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[8]"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": " Unlike human autosomes, the higher-order chromatin organization within the eastern hoolock gibbon centromere core regions appeared to be a continuation of the canonical chromatin repeat unit observed within flanking regions, albeit less organized owing to the dichromatin features (Figure 6D).", "language": "english", "position": {"atoms": [{"position_id": 4954, "txt": " Unlike human autosomes, the higher-order chromatin organization within the eastern hoolock gibbon centromere core regions appeared to be a continuation of the canonical chromatin repeat unit observed within flanking regions, albeit less organized owing to the dichromatin features (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[8]"}, {"position_id": 4956, "txt": "Figure 6", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[9]/span/span"}, {"position_id": 4958, "txt": "D).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[9]"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 139, "edu_l1_label": "IOS"}, {"txt": " Together, these findings demonstrate that dichromatin is a conserved feature of centromere core chromatin compaction, irrespective of the underlying DNA sequence.", "language": "english", "position": {"atoms": [{"position_id": 4959, "txt": " Together, these findings demonstrate that dichromatin is a conserved feature of centromere core chromatin compaction, irrespective of the underlying DNA sequence.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/div/a[9]"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 140, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2CgnEyZhllN3LnHJyLOBlU.jpeg", "language": "english", "position": {"atoms": [{"position_id": 1054, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2CgnEyZhllN3LnHJyLOBlU.jpeg", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[1]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 82, "global_sentence_id": 141, "edu_l1_label": "EDU_O"}, {"txt": "Figure 6. Centromere core dichromatin architecture does not require alpha-satellite repeats", "language": "english", "position": {"atoms": [{"position_id": 4961, "txt": "Figure 6", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/p/span"}, {"position_id": 4963, "txt": ". Centromere core dichromatin architecture does not require alpha-satellite repeats", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/p/span"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 83, "global_sentence_id": 142, "edu_l1_label": "EDU_O"}, {"txt": "(A) Schematic for Fiber-seq in a lymphoblastoid cell line from the eastern hoolock gibbon (Hoolock leuconedys) Betty.", "language": "english", "position": {"atoms": [{"position_id": 4965, "txt": "(A) Schematic for Fiber-seq in a lymphoblastoid cell line from the eastern hoolock gibbon (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[1]"}, {"position_id": 4967, "txt": "Hoolock leuconedys", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[1]/em[1]"}, {"position_id": 4969, "txt": ") Betty.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[1]/em[1]"}]}, "tags": ["img", "em"], "label": "figure_title", "web_segment_id": 84, "global_sentence_id": 143, "edu_l1_label": "EDU_O"}, {"txt": " Ultralong-read Nanopore sequencing was used for de novo genome assembly, which was validated using the contigs assembled using Fiber-seq data.", "language": "english", "position": {"atoms": [{"position_id": 4970, "txt": " Ultralong-read Nanopore sequencing was used for ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[1]/em[1]"}, {"position_id": 4972, "txt": "de novo", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[1]/em[2]"}, {"position_id": 4974, "txt": " genome assembly, which was validated using the contigs assembled using Fiber-seq data.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[1]/em[2]"}]}, "tags": ["em", "img"], "label": "figure_title", "web_segment_id": 84, "global_sentence_id": 144, "edu_l1_label": "EDU_O"}, {"txt": " CENP-A CUT&RUN was used to identify centromere cores along validated assembly regions.", "language": "english", "position": {"atoms": [{"position_id": 4975, "txt": " CENP-A CUT&RUN was used to identify centromere cores along validated assembly regions.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[1]/em[2]"}]}, "tags": ["em", "img"], "label": "figure_title", "web_segment_id": 84, "global_sentence_id": 145, "edu_l1_label": "EDU_O"}, {"txt": "(B) Genomic locus showing chromosome 8 centromere, including different repeat classes, CpG methylation, CENP-A CUT&RUN, and Fiber-seq-derived di-nucleosome footprint density, and chromatin accessibility.", "language": "english", "position": {"atoms": [{"position_id": 4977, "txt": "(B) Genomic locus showing chromosome 8 centromere, including different repeat classes, CpG methylation, CENP-A CUT&RUN, and Fiber-seq-derived di-nucleosome footprint density, and chromatin accessibility.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[2]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 85, "global_sentence_id": 146, "edu_l1_label": "EDU_O"}, {"txt": " (Bottom) Single-molecule chromatin architecture from pericentromeric gene-regulatory elements, centromere core, and heterochromatin.", "language": "english", "position": {"atoms": [{"position_id": 4978, "txt": " (Bottom) Single-molecule chromatin architecture from pericentromeric gene-regulatory elements, centromere core, and heterochromatin.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[2]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 85, "global_sentence_id": 147, "edu_l1_label": "EDU_O"}, {"txt": "(C) Hexbin plot showing the single-molecule density of di-nucleosome footprints and accessible chromatin patches within centromere core and flanking regions.", "language": "english", "position": {"atoms": [{"position_id": 4980, "txt": "(C) Hexbin plot showing the single-molecule density of di-nucleosome footprints and accessible chromatin patches within centromere core and flanking regions.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[3]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 86, "global_sentence_id": 148, "edu_l1_label": "EDU_O"}, {"txt": "(D) Box-and-whisker plots of the chromatin repeat lengths from centromere core and flanking regions.", "language": "english", "position": {"atoms": [{"position_id": 4982, "txt": "(D) Box-and-whisker plots of the chromatin repeat lengths from centromere core and flanking regions.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[4]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 87, "global_sentence_id": 149, "edu_l1_label": "EDU_O"}, {"txt": " On the bottom the peak chromatin repeat unit as well as the medial spectral density at that repeat unit are indicated, showing that chromatin is more disorganized within the centromere core.", "language": "english", "position": {"atoms": [{"position_id": 4983, "txt": " On the bottom the peak chromatin repeat unit as well as the medial spectral density at that repeat unit are indicated, showing that chromatin is more disorganized within the centromere core.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[4]"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 87, "global_sentence_id": 150, "edu_l1_label": "EDU_O"}, {"txt": "See also Figure S5.", "language": "english", "position": {"atoms": [{"position_id": 4985, "txt": "See also ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[5]"}, {"position_id": 4987, "txt": "Figure S5", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[5]/a/span/span"}, {"position_id": 4989, "txt": ".", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[2]/section[4]/div[2]/figure/span[2]/span/div[5]/a"}]}, "tags": ["img"], "label": "figure_title", "web_segment_id": 88, "global_sentence_id": 151, "edu_l1_label": "EDU_O"}, {"txt": "Discussion", "language": "english", "position": {"atoms": [{"position_id": 4991, "txt": "Discussion", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 89, "global_sentence_id": 152, "edu_l1_label": "BOS"}, {"txt": "We demonstrate that pairing complete reference centromere genome assemblies with Fiber-seq enables the delineation of chromatin architectures within centromeres at single-molecule and near-single-nucleotide resolution.", "language": "english", "position": {"atoms": [{"position_id": 4993, "txt": "We demonstrate that pairing complete reference centromere genome assemblies with Fiber-seq enables the delineation of chromatin architectures within centromeres at single-molecule and near-single-nucleotide resolution.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": " Application of Fiber-seq to four human and non-human primate samples with complete centromere assemblies exposed a unique form of chromatin compaction within the centromere cores that is not observed elsewhere along the genome.", "language": "english", "position": {"atoms": [{"position_id": 4994, "txt": " Application of Fiber-seq to four human and non-human primate samples with complete centromere assemblies exposed a unique form of chromatin compaction within the centromere cores that is not observed elsewhere along the genome.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": " Specifically, centromere cores simultaneously contain both the most accessible and compacted chromatin in the genome, with these dichotomous chromatin features both present along individual chromatin fibers.", "language": "english", "position": {"atoms": [{"position_id": 4995, "txt": " Specifically, centromere cores simultaneously contain both the most accessible and compacted chromatin in the genome, with these dichotomous chromatin features both present along individual chromatin fibers.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": " In addition, unlike traditional euchromatic regulatory elements, accessible chromatin patches within the centromere core are heterogeneously positioned across individual chromatin fibers.", "language": "english", "position": {"atoms": [{"position_id": 4996, "txt": " In addition, unlike traditional euchromatic regulatory elements, accessible chromatin patches within the centromere core are heterogeneously positioned across individual chromatin fibers.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": " These dichotomous features of chromatin compaction within the centromere core diverge from the standard model of heterochromatin and euchromatin compaction and are hence termed dichromatin.", "language": "english", "position": {"atoms": [{"position_id": 4997, "txt": " These dichotomous features of chromatin compaction within the centromere core diverge from the standard model of heterochromatin and euchromatin compaction and are hence termed dichromatin.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": " Further work will elucidate the role of dichromatin both within and outside the centromere.", "language": "english", "position": {"atoms": [{"position_id": 4998, "txt": " Further work will elucidate the role of dichromatin both within and outside the centromere.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "These accessible chromatin patches that punctuate the centromere core create a highly plastic chromatin topology at the region of kinetochore attachment that is readily exposed to proteins essential for maintaining the centromere core.58 Specifically, whereas the surrounding chromatin within the centromere is marked by tightly compacted nucleosome arrays that often stretch >20 kb in length,17 the centromere core contains highly heterogeneous chromatin with clustered accessible chromatin patches often disrupting the ability of compacted nucleosome arrays to extend beyond ∼1 kb in length.", "language": "english", "position": {"atoms": [{"position_id": 5000, "txt": "These accessible chromatin patches that punctuate the centromere core create a highly plastic chromatin topology at the region of kinetochore attachment that is readily exposed to proteins essential for maintaining the centromere core.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[2]"}, {"position_id": 5002, "txt": "58", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[2]/a[1]/span/span/sup"}, {"position_id": 5004, "txt": " Specifically, whereas the surrounding chromatin within the centromere is marked by tightly compacted nucleosome arrays that often stretch >20 kb in length,", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[2]/a[1]"}, {"position_id": 5006, "txt": "17", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[2]/a[2]/span/span/sup"}, {"position_id": 5008, "txt": " the centromere core contains highly heterogeneous chromatin with clustered accessible chromatin patches often disrupting the ability of compacted nucleosome arrays to extend beyond ∼1 kb in length.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[2]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 91, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "The clustering of these patches along human autosome and chromosome X centromeres potentially reflects the action of bound CENP-B homodimers59 binding to and bridging distinct CENP-B boxes in close physical proximity along the alpha-satellite array.49,60 However, these accessible chromatin patches nonetheless cluster along centromeres that lack CENP-B occupancy, albeit to a lesser degree, indicating that CENP-B occupancy may simply exist as a mechanism for stabilizing this inherent property of chromatin within the centromere core.", "language": "english", "position": {"atoms": [{"position_id": 5010, "txt": "The clustering of these patches along human autosome and chromosome X centromeres potentially reflects the action of bound CENP-B homodimers", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[3]"}, {"position_id": 5012, "txt": "59", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[3]/a[1]/span/span/sup"}, {"position_id": 5014, "txt": " binding to and bridging distinct CENP-B boxes in close physical proximity along the alpha-satellite array.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[3]/a[1]"}, {"position_id": 5016, "txt": "49", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[3]/a[2]/span/span/sup"}, {"position_id": 5018, "txt": ",", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[3]/sup"}, {"position_id": 5020, "txt": "60", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[3]/a[3]/span/span/sup"}, {"position_id": 5022, "txt": " However, these accessible chromatin patches nonetheless cluster along centromeres that lack CENP-B occupancy, albeit to a lesser degree, indicating that CENP-B occupancy may simply exist as a mechanism for stabilizing this inherent property of chromatin within the centromere core.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[3]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": " Notably, although CENP-B boxes selectively phase surrounding chromatin to mirror the underlying alpha-satellite repeat, this phasing phenomenon was only observed on centromeres containing occupied CENP-B boxes and was not necessary for dichromatin formation in the centromere core.", "language": "english", "position": {"atoms": [{"position_id": 5023, "txt": " Notably, although CENP-B boxes selectively phase surrounding chromatin to mirror the underlying alpha-satellite repeat, this phasing phenomenon was only observed on centromeres containing occupied CENP-B boxes and was not necessary for dichromatin formation in the centromere core.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[3]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": " The basic alpha-satellite repeat unit across species (i.e., 171 bp in primates, 186 bp in the fish Sparus aurata, 155 bp in both Arabidopsis and maize, and 340 bp in pigs)61 is well documented to reflect mono- or di-nucleosome lengths, and our findings suggest that the evolutionary pressure for this may, in fact, be to mediate the clustering of these accessible chromatin patches within the centromere core via the stochastic occupancy of dimeric CENP-B proteins at nearby CENP-B boxes 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"/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[4]/em[2]"}, {"position_id": 5050, "txt": "Figure 1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[4]/a[1]/span/span"}, {"position_id": 5052, "txt": "B), and these patterns differ between centromeres (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[4]/a[1]"}, {"position_id": 5054, "txt": "Figure 1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[4]/a[2]/span/span"}, {"position_id": 5056, "txt": "D), highlighting a need for our structural understanding of the yeast CCAN to account for these chromosome-to-chromosome and fiber-to-fiber dynamics.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[4]/a[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 93, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": " Furthermore, protein occupancy footprints at the yeast point centromeres markedly extend beyond the CDEI–III elements (Figure 1D), suggesting that Cse4 and Cbf1 rarely solo occupy the yeast centromere outside of a CCAN complex and that neighboring sequences may play a role in stabilizing CCAN occupancy.", "language": "english", "position": {"atoms": [{"position_id": 5057, "txt": " Furthermore, protein occupancy footprints at the yeast point centromeres markedly extend beyond the CDEI–III elements (", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[4]/a[2]"}, {"position_id": 5059, "txt": "Figure 1", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[4]/a[3]/span/span"}, {"position_id": 5061, "txt": "D), suggesting that Cse4 and Cbf1 rarely solo occupy the yeast centromere outside of a CCAN complex and that neighboring sequences may play a role in stabilizing CCAN occupancy.", "x": 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"content", "web_segment_id": 94, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": " Furthermore, dichromatin can assemble within centromere cores that lack alpha-satellite repeats, indicating that functional conservation within centromeres is mediated at the level of chromatin, not DNA.", "language": "english", "position": {"atoms": [{"position_id": 5069, "txt": " Furthermore, dichromatin can assemble within centromere cores that lack alpha-satellite repeats, indicating that functional conservation within centromeres is mediated at the level of chromatin, not DNA.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[5]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": " This likely enables centromeres to have a large degree of plasticity in terms of their underlying DNA sequence while maintaining their overall chromatin structure.", "language": "english", "position": {"atoms": [{"position_id": 5070, "txt": " This likely enables centromeres to have a large degree of plasticity in terms of their underlying DNA sequence while maintaining their overall chromatin structure.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[5]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": " These findings are consistent with the centromere paradox61 and raise additional questions as to how the centromere core remains faithfully localized to a specific region along the genome despite its predilection to form along divergent sequences.", "language": "english", "position": {"atoms": [{"position_id": 5071, "txt": " These findings are consistent with the centromere paradox", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/div[5]/a[1]"}, {"position_id": 5073, "txt": "61", "x": 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able to determine the specific identity of the proteins that cause them.", "language": "english", "position": {"atoms": [{"position_id": 5079, "txt": "One of the limitations with Fiber-seq is that although we can observe protein footprints, we are not able to determine the specific identity of the proteins that cause them.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/section/div"}]}, "tags": [], "label": "content", "web_segment_id": 96, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": " For example, within both human and gibbon centromeres, we see that the centromere core is selectively populated by a 250–300 bp footprint (Figures S1E and S5F).", "language": "english", "position": {"atoms": [{"position_id": 5080, "txt": " For example, within both human and gibbon centromeres, we see that the centromere core is selectively populated by a 250–300 bp footprint (", "x": 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CENP-A di-nucleosome.15 However, future work is needed to evaluate this hypothesis.", "language": "english", "position": {"atoms": [{"position_id": 5089, "txt": " This footprint size is markedly larger than that of the human inner kinetochore bound to a single CENP-A nucleosome", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/section/div/a[2]"}, {"position_id": 5091, "txt": "63", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/section/div/a[3]/span/span/sup"}, {"position_id": 5093, "txt": " and raises suspicion that CCAN occupancy ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/section/div/a[3]"}, {"position_id": 5095, "txt": "in vivo", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[3]/section/div/em"}, {"position_id": 5097, "txt": " includes a bridged CENP-A di-nucleosome.", "x": 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[{"position_id": 5116, "txt": "The Hia5 enzyme is available upon request.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[4]/section[2]/div"}]}, "tags": [], "label": "content", "web_segment_id": 101, "global_sentence_id": 181, "edu_l1_label": "EDU_O"}, {"txt": "Data and code availability", "language": "english", "position": {"atoms": [{"position_id": 5118, "txt": "Data and code availability", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[4]/section[3]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 102, "global_sentence_id": 182, "edu_l1_label": "EDU_O"}, {"txt": "All data used for this paper are available at GEO:", "language": "english", "position": {"atoms": [{"position_id": 5120, "txt": "All data used for this paper are available at GEO:", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[4]/section[3]/div"}]}, "tags": [], "label": "content", "web_segment_id": 103, "global_sentence_id": 183, "edu_l1_label": "EDU_O"}, {"txt": " GSE226394.", "language": "english", "position": {"atoms": [{"position_id": 5121, "txt": " ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[4]/section[3]/div"}, {"position_id": 5123, "txt": "GSE226394", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[4]/section[3]/div/a[1]/span/span"}, {"position_id": 5125, "txt": ".", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[4]/section[3]/div/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 103, "global_sentence_id": 184, "edu_l1_label": "EDU_O"}, {"txt": " All code used for this paper is available at the following Zenodo repository:", "language": "english", "position": {"atoms": [{"position_id": 5126, "txt": " All code used for this paper is available at the following Zenodo repository:", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[4]/section[3]/div/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 103, "global_sentence_id": 185, "edu_l1_label": "EDU_O"}, {"txt": " https://zenodo.org/record/7686305.", "language": "english", "position": {"atoms": [{"position_id": 5127, "txt": " ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[4]/section[3]/div/a[1]"}, {"position_id": 5129, "txt": "https://zenodo.org/record/7686305", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[4]/section[3]/div/a[2]/span/span"}, {"position_id": 5131, "txt": ".", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[4]/section[3]/div/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 103, "global_sentence_id": 186, "edu_l1_label": "EDU_O"}, {"txt": "Acknowledgments", "language": "english", "position": {"atoms": [{"position_id": 5133, "txt": "Acknowledgments", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 104, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": "We thank Steven Henikoff, Stirling Churchman, and John Stamatoyannopoulos for their helpful comments and feedback.", "language": "english", "position": {"atoms": [{"position_id": 5135, "txt": "We thank Steven Henikoff, Stirling Churchman, and John Stamatoyannopoulos for their helpful comments and feedback.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div"}]}, "tags": [], "label": "content", "web_segment_id": 105, "global_sentence_id": 188, "edu_l1_label": "EDU_O"}, {"txt": " We are grateful to Nam Pho and the research computing group at the University of Washington for computational assistance.", "language": "english", "position": {"atoms": [{"position_id": 5136, "txt": " We are grateful to Nam Pho and the research computing group at the University of Washington for computational assistance.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div"}]}, "tags": [], "label": "content", "web_segment_id": 105, "global_sentence_id": 189, "edu_l1_label": "EDU_O"}, {"txt": " We thank the Telomere-to-Telomere (T2T) consortium for generating a complete reference genome of CHM13 cells, as well as the Y chromosome of HG002.", "language": "english", "position": {"atoms": [{"position_id": 5137, "txt": " We thank the Telomere-to-Telomere (T2T) consortium for generating a complete reference genome of CHM13 cells, as well as the Y chromosome of HG002.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div"}]}, "tags": [], "label": "content", "web_segment_id": 105, "global_sentence_id": 190, "edu_l1_label": "EDU_O"}, {"txt": " This research was supported by NIH grants 1DP5OD029630 and 1U01HG013744 to A.B.S. and a 2021 Catalytic Collaborations pilot grant from the Brotman Baty Institute for Precision Medicine.", "language": "english", "position": {"atoms": [{"position_id": 5138, "txt": " This research was supported by ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div"}, {"position_id": 5140, "txt": "NIH", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/span[1]"}, {"position_id": 5142, "txt": " grants ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/span[1]"}, {"position_id": 5144, "txt": "1DP5OD029630", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/a[1]/span/span"}, {"position_id": 5146, "txt": " and ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/a[1]"}, {"position_id": 5148, "txt": "1U01HG013744", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/a[2]/span/span"}, {"position_id": 5150, "txt": " to A.B.S. and a 2021 Catalytic Collaborations pilot grant from the ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/a[2]"}, {"position_id": 5152, "txt": "Brotman Baty Institute", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/span[2]"}, {"position_id": 5154, "txt": " for Precision Medicine.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 105, "global_sentence_id": 191, "edu_l1_label": "EDU_O"}, {"txt": " A.B.S. holds a Career Award for Medical Scientists from the Burroughs Wellcome Fund and is a Pew Biomedical Scholar.", "language": "english", "position": {"atoms": [{"position_id": 5155, "txt": " A.B.S. holds a Career Award for Medical Scientists from the ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/span[2]"}, {"position_id": 5157, "txt": "Burroughs Wellcome Fund", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/span[3]"}, {"position_id": 5159, "txt": " and is a Pew Biomedical Scholar.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 105, "global_sentence_id": 192, "edu_l1_label": "EDU_O"}, {"txt": " S.B. and S.H. were supported by NIH R35 GM149357, and S.B. is also an investigator of the Howard Hughes Medical Institute.", "language": "english", "position": {"atoms": [{"position_id": 5160, "txt": " S.B. and S.H. were supported by NIH ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/span[3]"}, {"position_id": 5162, "txt": "R35 GM149357", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/a[3]/span/span"}, {"position_id": 5164, "txt": ", and S.B. is also an investigator of the Howard Hughes Medical Institute.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[5]/div/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 105, "global_sentence_id": 193, "edu_l1_label": "EDU_O"}, {"txt": "Author contributions", "language": "english", "position": {"atoms": [{"position_id": 5166, "txt": "Author contributions", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[6]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 106, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "A.B.S., J.R., G.A.H., Y.M., S.H., K.M.M., and B.J.M. designed and performed the experiments.", "language": "english", "position": {"atoms": [{"position_id": 5168, "txt": "A.B.S., J.R., G.A.H., Y.M., S.H., K.M.M., and B.J.M. designed and performed the experiments.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[6]/div"}]}, "tags": [], "label": "content", "web_segment_id": 107, "global_sentence_id": 195, "edu_l1_label": "EDU_O"}, {"txt": " A.B.S., D.D., A.E.S.C., G.A.H., G.A.L., E.E.E., R.J.O., and T.R. performed the computational analyses.", "language": "english", "position": {"atoms": [{"position_id": 5169, "txt": " A.B.S., D.D., A.E.S.C., G.A.H., G.A.L., E.E.E., R.J.O., and T.R. performed the computational analyses.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[6]/div"}]}, "tags": [], "label": "content", "web_segment_id": 107, "global_sentence_id": 196, "edu_l1_label": "EDU_O"}, {"txt": " A.B.S. and D.D. wrote the manuscript.", "language": "english", "position": {"atoms": [{"position_id": 5170, "txt": " A.B.S. and D.D. wrote the manuscript.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[6]/div"}]}, "tags": [], "label": "content", "web_segment_id": 107, "global_sentence_id": 197, "edu_l1_label": "EDU_O"}, {"txt": "Declaration of interests", "language": "english", "position": {"atoms": [{"position_id": 5172, "txt": "Declaration of interests", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[7]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 108, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": "A.B.S. is a co-inventor on a patent relating to the Fiber-seq method.", "language": "english", "position": {"atoms": [{"position_id": 5174, "txt": "A.B.S. is a co-inventor on a patent relating to the Fiber-seq method.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[7]/div"}]}, "tags": [], "label": "content", "web_segment_id": 109, "global_sentence_id": 199, "edu_l1_label": "EDU_O"}, {"txt": " E.E.E. is a scientific advisory board member of Variant Bio.", "language": "english", "position": {"atoms": [{"position_id": 5175, "txt": " E.E.E. is a scientific advisory board member of Variant Bio.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[7]/div"}]}, "tags": [], "label": "content", "web_segment_id": 109, "global_sentence_id": 200, "edu_l1_label": "EDU_O"}, {"txt": "STAR★Methods", "language": "english", "position": {"atoms": [{"position_id": 5177, "txt": "STAR★Methods", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 110, "global_sentence_id": 201, "edu_l1_label": "IOS"}, {"txt": "Key resources table", "language": "english", "position": {"atoms": [{"position_id": 5179, "txt": "Key resources table", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[1]/h3"}]}, "tags": ["h3"], "label": "table_title", "web_segment_id": 111, "global_sentence_id": 202, "edu_l1_label": "EDU_O"}, {"txt": "<table <table position_id=\"1206\"><thead position_id=\"1207\"><tr class=\"rowsep-1 valign-bottom\" position_id=\"1208\"><th scope=\"col\" position_id=\"1209\">REAGENT or RESOURCE</th><th scope=\"col\" position_id=\"1210\">SOURCE</th><th scope=\"col\" position_id=\"1211\">IDENTIFIER</th></tr></thead><tbody position_id=\"1212\"><tr class=\"rowsep-1 valign-top\" position_id=\"1213\"><th colspan=\"3\" scope=\"row\" position_id=\"1214\"><strong position_id=\"1215\">Antibodies</strong></th></tr><tr class=\"valign-top\" position_id=\"1216\"><td position_id=\"1217\">CENP-A monoclonal antibody</td><td position_id=\"1218\">Enzo Life Sciences</td><td position_id=\"1219\">ADI-KAM-CC006-E; RRID: AB_2038993</td></tr><tr class=\"valign-top\" position_id=\"1220\"><td position_id=\"1221\">Tri-methyl-histone H3 (Lys4) (C42D8) rabbit monoclonal antibody</td><td position_id=\"1222\">Cell Signaling Technology</td><td position_id=\"1223\">9751; RRID: AB_2616028</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1224\"><td position_id=\"1225\">rabbit (DA1E) monoclonal antibody IgG XP isotype control</td><td position_id=\"1226\">Cell Signaling Technology</td><td position_id=\"1227\">66362; RRID: AB_2924329</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1228\"><th colspan=\"3\" scope=\"row\" position_id=\"1229\"><strong position_id=\"1230\">Chemicals, peptides, and recombinant proteins</strong></th></tr><tr class=\"valign-top\" position_id=\"1231\"><td position_id=\"1232\">AmnioMax C-100 Basal Medium</td><td position_id=\"1233\">Invitrogen</td><td position_id=\"1234\">12558011</td></tr><tr class=\"valign-top\" position_id=\"1235\"><td position_id=\"1236\">Hia5 MTase</td><td position_id=\"1237\">Stergachis et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib19\" data-xocs-content-type=\"reference\" href=\"#bib19\" name=\"bbib19\" position_id=\"1238\"><span class=\"anchor-text-container\" position_id=\"1239\"><span class=\"anchor-text\" position_id=\"1240\"><sup position_id=\"1241\">19</sup></span></span></a></td><td position_id=\"1242\">N/A</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1243\"><td position_id=\"1244\">S-adenosylmethionine</td><td position_id=\"1245\">NEB</td><td position_id=\"1246\">B9003S</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1247\"><th colspan=\"3\" scope=\"row\" position_id=\"1248\"><strong position_id=\"1249\">Critical commercial assays</strong></th></tr><tr class=\"valign-top\" position_id=\"1250\"><td position_id=\"1251\">Promega Wizard HMW DNA Extraction Kit A2920</td><td position_id=\"1252\">Promega</td><td position_id=\"1253\">A2920</td></tr><tr class=\"valign-top\" position_id=\"1254\"><td position_id=\"1255\">SMRTbell prep kit 3.0</td><td position_id=\"1256\">PacBio</td><td position_id=\"1257\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1258\"><td position_id=\"1259\">Sequel II SMRT Cell</td><td position_id=\"1260\">PacBio</td><td position_id=\"1261\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1262\"><td position_id=\"1263\">ONT ligation Sequencing Kit</td><td position_id=\"1264\">ONT</td><td position_id=\"1265\">LSK109</td></tr><tr class=\"valign-top\" position_id=\"1266\"><td position_id=\"1267\">Ultra-Long DNA Sequencing Kit</td><td position_id=\"1268\">ONT</td><td position_id=\"1269\">SQK-ULK001</td></tr><tr class=\"valign-top\" position_id=\"1270\"><td position_id=\"1271\">Omni-C Proximity Ligation Assay</td><td position_id=\"1272\">Dovetail</td><td position_id=\"1273\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1274\"><td position_id=\"1275\">CUT&amp;RUN Assay Kit</td><td position_id=\"1276\">Cell Signaling Technology</td><td position_id=\"1277\">86652</td></tr><tr class=\"valign-top\" position_id=\"1278\"><td position_id=\"1279\">DNA purification with spin columns kit</td><td position_id=\"1280\">Cell Signaling Technology</td><td position_id=\"1281\">14209</td></tr><tr class=\"valign-top\" position_id=\"1282\"><td position_id=\"1283\">NEBNext Ultra II DNA Library Prep Kit for Illumina</td><td position_id=\"1284\">NEB</td><td position_id=\"1285\">E7645S</td></tr><tr class=\"valign-top\" position_id=\"1286\"><td position_id=\"1287\">Nanobind UL Library Prep Kit</td><td position_id=\"1288\">Circulomics</td><td position_id=\"1289\">NB-900-601-01)</td></tr><tr class=\"valign-top\" position_id=\"1290\"><td position_id=\"1291\">Nanobind Library Prep</td><td position_id=\"1292\">Circulomics</td><td position_id=\"1293\">LBP-ULN-001</td></tr><tr class=\"valign-top\" position_id=\"1294\"><td position_id=\"1295\">Nanobind CBB Big DNA Kit</td><td position_id=\"1296\">Circulomics</td><td position_id=\"1297\">NB-900-001-01</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1298\"><td position_id=\"1299\">Nanobind UHMW DNA Extraction</td><td position_id=\"1300\">Circulomics</td><td position_id=\"1301\">EXT-CLU-001</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1302\"><th colspan=\"3\" scope=\"row\" position_id=\"1303\"><strong position_id=\"1304\">Deposited data</strong></th></tr><tr class=\"valign-top\" position_id=\"1305\"><td position_id=\"1306\">CHM13 Fiber-seq</td><td position_id=\"1307\">GSM7074431</td><td position_id=\"1308\">GEO: <a class=\"anchor anchor-primary\" href=\"http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE226394\" target=\"_blank\" position_id=\"1309\"><span class=\"anchor-text-container\" position_id=\"1310\"><span class=\"anchor-text\" position_id=\"1311\">GSE226394</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1312\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1313\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1314\"><td position_id=\"1315\">CHM1 Fiber-seq</td><td position_id=\"1316\">GSM7074432</td><td position_id=\"1317\">GEO: <a class=\"anchor anchor-primary\" href=\"http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE226394\" target=\"_blank\" position_id=\"1318\"><span class=\"anchor-text-container\" position_id=\"1319\"><span class=\"anchor-text\" position_id=\"1320\">GSE226394</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1321\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1322\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1323\"><td position_id=\"1324\">GM14385/HG002 Fiber-seq</td><td position_id=\"1325\">GSM7074433</td><td position_id=\"1326\">GEO: <a class=\"anchor anchor-primary\" href=\"http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE226394\" target=\"_blank\" position_id=\"1327\"><span class=\"anchor-text-container\" position_id=\"1328\"><span class=\"anchor-text\" position_id=\"1329\">GSE226394</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1330\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1331\"/></svg></span></a></td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1332\"><td position_id=\"1333\">HLE Fiber-seq</td><td position_id=\"1334\">GSM7074434</td><td position_id=\"1335\">GEO: <a class=\"anchor anchor-primary\" href=\"http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE226394\" target=\"_blank\" position_id=\"1336\"><span class=\"anchor-text-container\" position_id=\"1337\"><span class=\"anchor-text\" position_id=\"1338\">GSE226394</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1339\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1340\"/></svg></span></a></td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1341\"><th colspan=\"3\" scope=\"row\" position_id=\"1342\"><strong position_id=\"1343\">Experimental models: Cell lines</strong></th></tr><tr class=\"valign-top\" position_id=\"1344\"><td position_id=\"1345\">CHM13 Cells</td><td position_id=\"1346\">Gift from Eichler lab, University of Washington</td><td position_id=\"1347\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1348\"><td position_id=\"1349\">CHM1 Cells</td><td position_id=\"1350\">Gift from Eichler lab, University of Washington</td><td position_id=\"1351\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1352\"><td position_id=\"1353\">HLE Cells</td><td position_id=\"1354\">Gift from O’Neil lab, University of Connecticut</td><td position_id=\"1355\">N/A</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1356\"><td position_id=\"1357\">GM24385</td><td position_id=\"1358\">Coriell</td><td position_id=\"1359\">N/A</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1360\"><th colspan=\"3\" scope=\"row\" position_id=\"1361\"><strong position_id=\"1362\">Experimental models: Organisms/strains</strong></th></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1363\"><td position_id=\"1364\"><em position_id=\"1365\">Saccharomyces cerevisiae</em> cells SBY3/W303</td><td position_id=\"1366\">Gift from Biggins lab, Fred Hutchinson Cancer Center</td><td position_id=\"1367\">N/A</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1368\"><th colspan=\"3\" scope=\"row\" position_id=\"1369\"><strong position_id=\"1370\">Software and algorithms</strong></th></tr><tr class=\"valign-top\" position_id=\"1371\"><td position_id=\"1372\">Custom code</td><td position_id=\"1373\"/><td position_id=\"1374\"><a class=\"anchor anchor-primary\" href=\"https://zenodo.org/record/7686305\" target=\"_blank\" position_id=\"1375\"><span class=\"anchor-text-container\" position_id=\"1376\"><span class=\"anchor-text\" position_id=\"1377\">https://zenodo.org/record/7686305</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1378\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1379\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1380\"><td position_id=\"1381\">pbmm2</td><td position_id=\"1382\"/><td position_id=\"1383\"><a class=\"anchor anchor-primary\" href=\"https://github.com/PacificBiosciences/pbmm2\" target=\"_blank\" position_id=\"1384\"><span class=\"anchor-text-container\" position_id=\"1385\"><span class=\"anchor-text\" position_id=\"1386\">https://github.com/PacificBiosciences/pbmm2</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1387\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1388\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1389\"><td position_id=\"1390\">fibertools</td><td position_id=\"1391\">Jha et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib27\" data-xocs-content-type=\"reference\" href=\"#bib27\" name=\"bbib27\" position_id=\"1392\"><span class=\"anchor-text-container\" position_id=\"1393\"><span class=\"anchor-text\" position_id=\"1394\"><sup position_id=\"1395\">27</sup></span></span></a></td><td position_id=\"1396\"><a class=\"anchor anchor-primary\" href=\"https://github.com/fiberseq/fibertools-rs\" target=\"_blank\" position_id=\"1397\"><span class=\"anchor-text-container\" position_id=\"1398\"><span class=\"anchor-text\" position_id=\"1399\">https://github.com/fiberseq/fibertools-rs</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1400\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1401\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1402\"><td position_id=\"1403\">jasmine</td><td position_id=\"1404\"/><td position_id=\"1405\"><a class=\"anchor anchor-primary\" href=\"https://github.com/PacificBiosciences/jasmine\" target=\"_blank\" position_id=\"1406\"><span class=\"anchor-text-container\" position_id=\"1407\"><span class=\"anchor-text\" position_id=\"1408\">https://github.com/PacificBiosciences/jasmine</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1409\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1410\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1411\"><td position_id=\"1412\"><em position_id=\"1413\">primrose</em></td><td position_id=\"1414\"/><td position_id=\"1415\"><a class=\"anchor anchor-primary\" href=\"https://github.com/mattoslmp/primrose\" target=\"_blank\" position_id=\"1416\"><span class=\"anchor-text-container\" position_id=\"1417\"><span class=\"anchor-text\" position_id=\"1418\">https://github.com/mattoslmp/primrose</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1419\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1420\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1421\"><td position_id=\"1422\"><em position_id=\"1423\">pb-CpG-tools</em></td><td position_id=\"1424\"/><td position_id=\"1425\"><a class=\"anchor anchor-primary\" href=\"https://github.com/PacificBiosciences/pb-CpG-tools\" target=\"_blank\" position_id=\"1426\"><span class=\"anchor-text-container\" position_id=\"1427\"><span class=\"anchor-text\" position_id=\"1428\">https://github.com/PacificBiosciences/pb-CpG-tools</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1429\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1430\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1431\"><td position_id=\"1432\">scipy</td><td position_id=\"1433\">Virtanen et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib62\" data-xocs-content-type=\"reference\" href=\"#bib62\" name=\"bbib62\" position_id=\"1434\"><span class=\"anchor-text-container\" position_id=\"1435\"><span class=\"anchor-text\" position_id=\"1436\"><sup position_id=\"1437\">64</sup></span></span></a></td><td position_id=\"1438\"><a class=\"anchor anchor-primary\" href=\"https://anaconda.org/anaconda/scipy\" target=\"_blank\" position_id=\"1439\"><span class=\"anchor-text-container\" position_id=\"1440\"><span class=\"anchor-text\" position_id=\"1441\">https://anaconda.org/anaconda/scipy</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1442\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1443\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1444\"><td position_id=\"1445\">fimo</td><td position_id=\"1446\">Grant et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib60\" data-xocs-content-type=\"reference\" href=\"#bib60\" name=\"bbib60\" position_id=\"1447\"><span class=\"anchor-text-container\" position_id=\"1448\"><span class=\"anchor-text\" position_id=\"1449\"><sup position_id=\"1450\">65</sup></span></span></a></td><td position_id=\"1451\"><a class=\"anchor anchor-primary\" href=\"https://meme-suite.org/meme/doc/fimo.html\" target=\"_blank\" position_id=\"1452\"><span class=\"anchor-text-container\" position_id=\"1453\"><span class=\"anchor-text\" position_id=\"1454\">https://meme-suite.org/meme/doc/fimo.html</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1455\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1456\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1457\"><td position_id=\"1458\">samtools</td><td position_id=\"1459\">Li et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib63\" data-xocs-content-type=\"reference\" href=\"#bib63\" name=\"bbib63\" position_id=\"1460\"><span class=\"anchor-text-container\" position_id=\"1461\"><span class=\"anchor-text\" position_id=\"1462\"><sup position_id=\"1463\">66</sup></span></span></a></td><td position_id=\"1464\"><a class=\"anchor anchor-primary\" href=\"http://www.htslib.org/\" target=\"_blank\" position_id=\"1465\"><span class=\"anchor-text-container\" position_id=\"1466\"><span class=\"anchor-text\" position_id=\"1467\">http://www.htslib.org/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1468\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1469\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1470\"><td position_id=\"1471\">pilon</td><td position_id=\"1472\">Walker et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib64\" data-xocs-content-type=\"reference\" href=\"#bib64\" name=\"bbib64\" position_id=\"1473\"><span class=\"anchor-text-container\" position_id=\"1474\"><span class=\"anchor-text\" position_id=\"1475\"><sup position_id=\"1476\">67</sup></span></span></a></td><td position_id=\"1477\"><a class=\"anchor anchor-primary\" href=\"https://github.com/broadinstitute/pilon\" target=\"_blank\" position_id=\"1478\"><span class=\"anchor-text-container\" position_id=\"1479\"><span class=\"anchor-text\" position_id=\"1480\">https://github.com/broadinstitute/pilon</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1481\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1482\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1483\"><td position_id=\"1484\">PURGEhaplotigs</td><td position_id=\"1485\">Roach et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib65\" data-xocs-content-type=\"reference\" href=\"#bib65\" name=\"bbib65\" position_id=\"1486\"><span class=\"anchor-text-container\" position_id=\"1487\"><span class=\"anchor-text\" position_id=\"1488\"><sup position_id=\"1489\">68</sup></span></span></a></td><td position_id=\"1490\"><a class=\"anchor anchor-primary\" href=\"https://github.com/dfguan/purge_haplotigs\" target=\"_blank\" position_id=\"1491\"><span class=\"anchor-text-container\" position_id=\"1492\"><span class=\"anchor-text\" position_id=\"1493\">https://github.com/dfguan/purge_haplotigs</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1494\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1495\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1496\"><td position_id=\"1497\">Juicer</td><td position_id=\"1498\">Durand et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib66\" data-xocs-content-type=\"reference\" href=\"#bib66\" name=\"bbib66\" position_id=\"1499\"><span class=\"anchor-text-container\" position_id=\"1500\"><span class=\"anchor-text\" position_id=\"1501\"><sup position_id=\"1502\">69</sup></span></span></a></td><td position_id=\"1503\"><a class=\"anchor anchor-primary\" href=\"https://github.com/aidenlab/juicer\" target=\"_blank\" position_id=\"1504\"><span class=\"anchor-text-container\" position_id=\"1505\"><span class=\"anchor-text\" position_id=\"1506\">https://github.com/aidenlab/juicer</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1507\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1508\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1509\"><td position_id=\"1510\">Assembly Tools</td><td position_id=\"1511\">Durand et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib66\" data-xocs-content-type=\"reference\" href=\"#bib66\" name=\"bbib66\" position_id=\"1512\"><span class=\"anchor-text-container\" position_id=\"1513\"><span class=\"anchor-text\" position_id=\"1514\"><sup position_id=\"1515\">69</sup></span></span></a></td><td position_id=\"1516\"><a class=\"anchor anchor-primary\" href=\"https://github.com/aidenlab/juicer\" target=\"_blank\" position_id=\"1517\"><span class=\"anchor-text-container\" position_id=\"1518\"><span class=\"anchor-text\" position_id=\"1519\">https://github.com/aidenlab/juicer</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1520\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1521\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1522\"><td position_id=\"1523\">TGS-GapCloser</td><td position_id=\"1524\"/><td position_id=\"1525\"><a class=\"anchor anchor-primary\" href=\"https://github.com/BGI-Qingdao/TGS-GapCloser\" target=\"_blank\" position_id=\"1526\"><span class=\"anchor-text-container\" position_id=\"1527\"><span class=\"anchor-text\" position_id=\"1528\">https://github.com/BGI-Qingdao/TGS-GapCloser</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1529\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1530\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1531\"><td position_id=\"1532\">LASTZ</td><td position_id=\"1533\"/><td position_id=\"1534\"><a class=\"anchor anchor-primary\" href=\"https://github.com/lastz/lastz\" target=\"_blank\" position_id=\"1535\"><span class=\"anchor-text-container\" position_id=\"1536\"><span class=\"anchor-text\" position_id=\"1537\">https://github.com/lastz/lastz</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1538\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1539\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1540\"><td position_id=\"1541\">Emboss</td><td position_id=\"1542\">Rice et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib67\" data-xocs-content-type=\"reference\" href=\"#bib67\" name=\"bbib67\" position_id=\"1543\"><span class=\"anchor-text-container\" position_id=\"1544\"><span class=\"anchor-text\" position_id=\"1545\"><sup position_id=\"1546\">70</sup></span></span></a></td><td position_id=\"1547\"><a class=\"anchor anchor-primary\" href=\"http://emboss.sourceforge.net/\" target=\"_blank\" position_id=\"1548\"><span class=\"anchor-text-container\" position_id=\"1549\"><span class=\"anchor-text\" position_id=\"1550\">http://emboss.sourceforge.net/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1551\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1552\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1553\"><td position_id=\"1554\">cutadapt</td><td position_id=\"1555\">Martin<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib68\" data-xocs-content-type=\"reference\" href=\"#bib68\" name=\"bbib68\" position_id=\"1556\"><span class=\"anchor-text-container\" position_id=\"1557\"><span class=\"anchor-text\" position_id=\"1558\"><sup position_id=\"1559\">71</sup></span></span></a></td><td position_id=\"1560\"><a class=\"anchor anchor-primary\" href=\"https://cutadapt.readthedocs.io/\" target=\"_blank\" position_id=\"1561\"><span class=\"anchor-text-container\" position_id=\"1562\"><span class=\"anchor-text\" position_id=\"1563\">https://cutadapt.readthedocs.io/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1564\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1565\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1566\"><td position_id=\"1567\">MACS</td><td position_id=\"1568\">Zhang et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib69\" data-xocs-content-type=\"reference\" href=\"#bib69\" name=\"bbib69\" position_id=\"1569\"><span class=\"anchor-text-container\" position_id=\"1570\"><span class=\"anchor-text\" position_id=\"1571\"><sup position_id=\"1572\">72</sup></span></span></a></td><td position_id=\"1573\"><a class=\"anchor anchor-primary\" href=\"https://github.com/macs3-project/MACS\" target=\"_blank\" position_id=\"1574\"><span class=\"anchor-text-container\" position_id=\"1575\"><span class=\"anchor-text\" position_id=\"1576\">https://github.com/macs3-project/MACS</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1577\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1578\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1579\"><td position_id=\"1580\">hifiasm</td><td position_id=\"1581\">Cheng et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib70\" data-xocs-content-type=\"reference\" href=\"#bib70\" name=\"bbib70\" position_id=\"1582\"><span class=\"anchor-text-container\" position_id=\"1583\"><span class=\"anchor-text\" position_id=\"1584\"><sup position_id=\"1585\">73</sup></span></span></a></td><td position_id=\"1586\"><a class=\"anchor anchor-primary\" href=\"https://github.com/chhylp123/hifiasm\" target=\"_blank\" position_id=\"1587\"><span class=\"anchor-text-container\" position_id=\"1588\"><span class=\"anchor-text\" position_id=\"1589\">https://github.com/chhylp123/hifiasm</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1590\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1591\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1592\"><td position_id=\"1593\">RepeatMasker</td><td position_id=\"1594\"/><td position_id=\"1595\"><a class=\"anchor anchor-primary\" href=\"http://www.repeatmasker.org/\" target=\"_blank\" position_id=\"1596\"><span class=\"anchor-text-container\" position_id=\"1597\"><span class=\"anchor-text\" position_id=\"1598\">http://www.repeatmasker.org/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1599\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1600\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1601\"><td position_id=\"1602\">Bonito</td><td position_id=\"1603\"/><td position_id=\"1604\"><a class=\"anchor anchor-primary\" href=\"https://github.com/nanoporetech/bonito\" target=\"_blank\" position_id=\"1605\"><span class=\"anchor-text-container\" position_id=\"1606\"><span class=\"anchor-text\" position_id=\"1607\">https://github.com/nanoporetech/bonito</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1608\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1609\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1610\"><td position_id=\"1611\">Remora</td><td position_id=\"1612\"/><td position_id=\"1613\"><a class=\"anchor anchor-primary\" href=\"https://github.com/nanoporetech/remora\" target=\"_blank\" position_id=\"1614\"><span class=\"anchor-text-container\" position_id=\"1615\"><span class=\"anchor-text\" position_id=\"1616\">https://github.com/nanoporetech/remora</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1617\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1618\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1619\"><td position_id=\"1620\">modbam2bed</td><td position_id=\"1621\"/><td position_id=\"1622\"><a class=\"anchor anchor-primary\" href=\"https://github.com/nanoporetech/modbam2bed\" target=\"_blank\" position_id=\"1623\"><span class=\"anchor-text-container\" position_id=\"1624\"><span class=\"anchor-text\" position_id=\"1625\">https://github.com/nanoporetech/modbam2bed</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1626\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1627\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1628\"><td position_id=\"1629\">bedtools</td><td position_id=\"1630\">Quinlan and Hall<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib71\" data-xocs-content-type=\"reference\" href=\"#bib71\" name=\"bbib71\" position_id=\"1631\"><span class=\"anchor-text-container\" position_id=\"1632\"><span class=\"anchor-text\" position_id=\"1633\"><sup position_id=\"1634\">74</sup></span></span></a></td><td position_id=\"1635\"><a class=\"anchor anchor-primary\" href=\"https://bedtools.readthedocs.io/\" target=\"_blank\" position_id=\"1636\"><span class=\"anchor-text-container\" position_id=\"1637\"><span class=\"anchor-text\" position_id=\"1638\">https://bedtools.readthedocs.io/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1639\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1640\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1641\"><td position_id=\"1642\">bedops</td><td position_id=\"1643\">Neph et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib72\" data-xocs-content-type=\"reference\" href=\"#bib72\" name=\"bbib72\" position_id=\"1644\"><span class=\"anchor-text-container\" position_id=\"1645\"><span class=\"anchor-text\" position_id=\"1646\"><sup position_id=\"1647\">75</sup></span></span></a></td><td position_id=\"1648\"><a class=\"anchor anchor-primary\" href=\"https://bedops.readthedocs.io/en/latest/\" target=\"_blank\" position_id=\"1649\"><span class=\"anchor-text-container\" position_id=\"1650\"><span class=\"anchor-text\" position_id=\"1651\">https://bedops.readthedocs.io/en/latest/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1652\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1653\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1654\"><td position_id=\"1655\">Guppy</td><td position_id=\"1656\">ONT</td><td position_id=\"1657\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1658\"><td position_id=\"1659\">Flye</td><td position_id=\"1660\">Kolmogorov et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib73\" data-xocs-content-type=\"reference\" href=\"#bib73\" name=\"bbib73\" position_id=\"1661\"><span class=\"anchor-text-container\" position_id=\"1662\"><span class=\"anchor-text\" position_id=\"1663\"><sup position_id=\"1664\">76</sup></span></span></a></td><td position_id=\"1665\"><a class=\"anchor anchor-primary\" href=\"https://github.com/mikolmogorov/Flye\" target=\"_blank\" position_id=\"1666\"><span class=\"anchor-text-container\" position_id=\"1667\"><span class=\"anchor-text\" position_id=\"1668\">https://github.com/mikolmogorov/Flye</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1669\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1670\"/></svg></span></a></td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1671\"><td position_id=\"1672\">BWA</td><td position_id=\"1673\">Li and Durbin<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib74\" data-xocs-content-type=\"reference\" href=\"#bib74\" name=\"bbib74\" position_id=\"1674\"><span class=\"anchor-text-container\" position_id=\"1675\"><span class=\"anchor-text\" position_id=\"1676\"><sup position_id=\"1677\">77</sup></span></span></a></td><td position_id=\"1678\"><a class=\"anchor anchor-primary\" href=\"https://github.com/lh3/bwa\" target=\"_blank\" position_id=\"1679\"><span class=\"anchor-text-container\" position_id=\"1680\"><span class=\"anchor-text\" position_id=\"1681\">https://github.com/lh3/bwa</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1682\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1683\"/></svg></span></a></td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1684\"><th colspan=\"3\" scope=\"row\" position_id=\"1685\"><strong position_id=\"1686\">Other</strong></th></tr><tr class=\"valign-top\" position_id=\"1687\"><td position_id=\"1688\">Sage Science PippinHT platform</td><td position_id=\"1689\">Sage Science</td><td position_id=\"1690\">ELF0001</td></tr><tr class=\"valign-top\" position_id=\"1691\"><td position_id=\"1692\">Megaruptor</td><td position_id=\"1693\">Diagenode Diagnostics</td><td position_id=\"1694\">N/A</td></tr></tbody></table>", "language": "english", "position": {"atoms": [{"position_id": 1206, "txt": "<table <table position_id=\"1206\"><thead position_id=\"1207\"><tr class=\"rowsep-1 valign-bottom\" position_id=\"1208\"><th scope=\"col\" position_id=\"1209\">REAGENT or RESOURCE</th><th scope=\"col\" position_id=\"1210\">SOURCE</th><th scope=\"col\" position_id=\"1211\">IDENTIFIER</th></tr></thead><tbody position_id=\"1212\"><tr class=\"rowsep-1 valign-top\" position_id=\"1213\"><th colspan=\"3\" scope=\"row\" position_id=\"1214\"><strong position_id=\"1215\">Antibodies</strong></th></tr><tr class=\"valign-top\" position_id=\"1216\"><td position_id=\"1217\">CENP-A monoclonal antibody</td><td position_id=\"1218\">Enzo Life Sciences</td><td position_id=\"1219\">ADI-KAM-CC006-E; RRID: AB_2038993</td></tr><tr class=\"valign-top\" position_id=\"1220\"><td position_id=\"1221\">Tri-methyl-histone H3 (Lys4) (C42D8) rabbit monoclonal antibody</td><td position_id=\"1222\">Cell Signaling Technology</td><td position_id=\"1223\">9751; RRID: AB_2616028</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1224\"><td position_id=\"1225\">rabbit (DA1E) monoclonal antibody IgG XP isotype control</td><td position_id=\"1226\">Cell Signaling Technology</td><td position_id=\"1227\">66362; RRID: AB_2924329</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1228\"><th colspan=\"3\" scope=\"row\" position_id=\"1229\"><strong position_id=\"1230\">Chemicals, peptides, and recombinant proteins</strong></th></tr><tr class=\"valign-top\" position_id=\"1231\"><td position_id=\"1232\">AmnioMax C-100 Basal Medium</td><td position_id=\"1233\">Invitrogen</td><td position_id=\"1234\">12558011</td></tr><tr class=\"valign-top\" position_id=\"1235\"><td position_id=\"1236\">Hia5 MTase</td><td position_id=\"1237\">Stergachis et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib19\" data-xocs-content-type=\"reference\" href=\"#bib19\" name=\"bbib19\" position_id=\"1238\"><span class=\"anchor-text-container\" position_id=\"1239\"><span class=\"anchor-text\" position_id=\"1240\"><sup position_id=\"1241\">19</sup></span></span></a></td><td position_id=\"1242\">N/A</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1243\"><td position_id=\"1244\">S-adenosylmethionine</td><td position_id=\"1245\">NEB</td><td position_id=\"1246\">B9003S</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1247\"><th colspan=\"3\" scope=\"row\" position_id=\"1248\"><strong position_id=\"1249\">Critical commercial assays</strong></th></tr><tr class=\"valign-top\" position_id=\"1250\"><td position_id=\"1251\">Promega Wizard HMW DNA Extraction Kit A2920</td><td position_id=\"1252\">Promega</td><td position_id=\"1253\">A2920</td></tr><tr class=\"valign-top\" position_id=\"1254\"><td position_id=\"1255\">SMRTbell prep kit 3.0</td><td position_id=\"1256\">PacBio</td><td position_id=\"1257\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1258\"><td position_id=\"1259\">Sequel II SMRT Cell</td><td position_id=\"1260\">PacBio</td><td position_id=\"1261\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1262\"><td position_id=\"1263\">ONT ligation Sequencing Kit</td><td position_id=\"1264\">ONT</td><td position_id=\"1265\">LSK109</td></tr><tr class=\"valign-top\" position_id=\"1266\"><td position_id=\"1267\">Ultra-Long DNA Sequencing Kit</td><td position_id=\"1268\">ONT</td><td position_id=\"1269\">SQK-ULK001</td></tr><tr class=\"valign-top\" position_id=\"1270\"><td position_id=\"1271\">Omni-C Proximity Ligation Assay</td><td position_id=\"1272\">Dovetail</td><td position_id=\"1273\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1274\"><td position_id=\"1275\">CUT&amp;RUN Assay Kit</td><td position_id=\"1276\">Cell Signaling Technology</td><td position_id=\"1277\">86652</td></tr><tr class=\"valign-top\" position_id=\"1278\"><td position_id=\"1279\">DNA purification with spin columns kit</td><td position_id=\"1280\">Cell Signaling Technology</td><td position_id=\"1281\">14209</td></tr><tr class=\"valign-top\" position_id=\"1282\"><td position_id=\"1283\">NEBNext Ultra II DNA Library Prep Kit for Illumina</td><td position_id=\"1284\">NEB</td><td position_id=\"1285\">E7645S</td></tr><tr class=\"valign-top\" position_id=\"1286\"><td position_id=\"1287\">Nanobind UL Library Prep Kit</td><td position_id=\"1288\">Circulomics</td><td position_id=\"1289\">NB-900-601-01)</td></tr><tr class=\"valign-top\" position_id=\"1290\"><td position_id=\"1291\">Nanobind Library Prep</td><td position_id=\"1292\">Circulomics</td><td position_id=\"1293\">LBP-ULN-001</td></tr><tr class=\"valign-top\" position_id=\"1294\"><td position_id=\"1295\">Nanobind CBB Big DNA Kit</td><td position_id=\"1296\">Circulomics</td><td position_id=\"1297\">NB-900-001-01</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1298\"><td position_id=\"1299\">Nanobind UHMW DNA Extraction</td><td position_id=\"1300\">Circulomics</td><td position_id=\"1301\">EXT-CLU-001</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1302\"><th colspan=\"3\" scope=\"row\" position_id=\"1303\"><strong position_id=\"1304\">Deposited data</strong></th></tr><tr class=\"valign-top\" position_id=\"1305\"><td position_id=\"1306\">CHM13 Fiber-seq</td><td position_id=\"1307\">GSM7074431</td><td position_id=\"1308\">GEO: <a class=\"anchor anchor-primary\" href=\"http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE226394\" target=\"_blank\" position_id=\"1309\"><span class=\"anchor-text-container\" position_id=\"1310\"><span class=\"anchor-text\" position_id=\"1311\">GSE226394</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1312\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1313\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1314\"><td position_id=\"1315\">CHM1 Fiber-seq</td><td position_id=\"1316\">GSM7074432</td><td position_id=\"1317\">GEO: <a class=\"anchor anchor-primary\" href=\"http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE226394\" target=\"_blank\" position_id=\"1318\"><span class=\"anchor-text-container\" position_id=\"1319\"><span class=\"anchor-text\" position_id=\"1320\">GSE226394</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1321\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1322\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1323\"><td position_id=\"1324\">GM14385/HG002 Fiber-seq</td><td position_id=\"1325\">GSM7074433</td><td position_id=\"1326\">GEO: <a class=\"anchor anchor-primary\" href=\"http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE226394\" target=\"_blank\" position_id=\"1327\"><span class=\"anchor-text-container\" position_id=\"1328\"><span class=\"anchor-text\" position_id=\"1329\">GSE226394</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1330\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1331\"/></svg></span></a></td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1332\"><td position_id=\"1333\">HLE Fiber-seq</td><td position_id=\"1334\">GSM7074434</td><td position_id=\"1335\">GEO: <a class=\"anchor anchor-primary\" href=\"http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE226394\" target=\"_blank\" position_id=\"1336\"><span class=\"anchor-text-container\" position_id=\"1337\"><span class=\"anchor-text\" position_id=\"1338\">GSE226394</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1339\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1340\"/></svg></span></a></td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1341\"><th colspan=\"3\" scope=\"row\" position_id=\"1342\"><strong position_id=\"1343\">Experimental models: Cell lines</strong></th></tr><tr class=\"valign-top\" position_id=\"1344\"><td position_id=\"1345\">CHM13 Cells</td><td position_id=\"1346\">Gift from Eichler lab, University of Washington</td><td position_id=\"1347\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1348\"><td position_id=\"1349\">CHM1 Cells</td><td position_id=\"1350\">Gift from Eichler lab, University of Washington</td><td position_id=\"1351\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1352\"><td position_id=\"1353\">HLE Cells</td><td position_id=\"1354\">Gift from O’Neil lab, University of Connecticut</td><td position_id=\"1355\">N/A</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1356\"><td position_id=\"1357\">GM24385</td><td position_id=\"1358\">Coriell</td><td position_id=\"1359\">N/A</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1360\"><th colspan=\"3\" scope=\"row\" position_id=\"1361\"><strong position_id=\"1362\">Experimental models: Organisms/strains</strong></th></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1363\"><td position_id=\"1364\"><em position_id=\"1365\">Saccharomyces cerevisiae</em> cells SBY3/W303</td><td position_id=\"1366\">Gift from Biggins lab, Fred Hutchinson Cancer Center</td><td position_id=\"1367\">N/A</td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1368\"><th colspan=\"3\" scope=\"row\" position_id=\"1369\"><strong position_id=\"1370\">Software and algorithms</strong></th></tr><tr class=\"valign-top\" position_id=\"1371\"><td position_id=\"1372\">Custom code</td><td position_id=\"1373\"/><td position_id=\"1374\"><a class=\"anchor anchor-primary\" href=\"https://zenodo.org/record/7686305\" target=\"_blank\" position_id=\"1375\"><span class=\"anchor-text-container\" position_id=\"1376\"><span class=\"anchor-text\" position_id=\"1377\">https://zenodo.org/record/7686305</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1378\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1379\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1380\"><td position_id=\"1381\">pbmm2</td><td position_id=\"1382\"/><td position_id=\"1383\"><a class=\"anchor anchor-primary\" href=\"https://github.com/PacificBiosciences/pbmm2\" target=\"_blank\" position_id=\"1384\"><span class=\"anchor-text-container\" position_id=\"1385\"><span class=\"anchor-text\" position_id=\"1386\">https://github.com/PacificBiosciences/pbmm2</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1387\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1388\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1389\"><td position_id=\"1390\">fibertools</td><td position_id=\"1391\">Jha et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib27\" data-xocs-content-type=\"reference\" href=\"#bib27\" name=\"bbib27\" position_id=\"1392\"><span class=\"anchor-text-container\" position_id=\"1393\"><span class=\"anchor-text\" position_id=\"1394\"><sup position_id=\"1395\">27</sup></span></span></a></td><td position_id=\"1396\"><a class=\"anchor anchor-primary\" href=\"https://github.com/fiberseq/fibertools-rs\" target=\"_blank\" position_id=\"1397\"><span class=\"anchor-text-container\" position_id=\"1398\"><span class=\"anchor-text\" position_id=\"1399\">https://github.com/fiberseq/fibertools-rs</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1400\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1401\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1402\"><td position_id=\"1403\">jasmine</td><td position_id=\"1404\"/><td position_id=\"1405\"><a class=\"anchor anchor-primary\" href=\"https://github.com/PacificBiosciences/jasmine\" target=\"_blank\" position_id=\"1406\"><span class=\"anchor-text-container\" position_id=\"1407\"><span class=\"anchor-text\" position_id=\"1408\">https://github.com/PacificBiosciences/jasmine</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1409\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1410\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1411\"><td position_id=\"1412\"><em position_id=\"1413\">primrose</em></td><td position_id=\"1414\"/><td position_id=\"1415\"><a class=\"anchor anchor-primary\" href=\"https://github.com/mattoslmp/primrose\" target=\"_blank\" position_id=\"1416\"><span class=\"anchor-text-container\" position_id=\"1417\"><span class=\"anchor-text\" position_id=\"1418\">https://github.com/mattoslmp/primrose</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1419\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1420\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1421\"><td position_id=\"1422\"><em position_id=\"1423\">pb-CpG-tools</em></td><td position_id=\"1424\"/><td position_id=\"1425\"><a class=\"anchor anchor-primary\" href=\"https://github.com/PacificBiosciences/pb-CpG-tools\" target=\"_blank\" position_id=\"1426\"><span class=\"anchor-text-container\" position_id=\"1427\"><span class=\"anchor-text\" position_id=\"1428\">https://github.com/PacificBiosciences/pb-CpG-tools</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1429\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1430\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1431\"><td position_id=\"1432\">scipy</td><td position_id=\"1433\">Virtanen et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib62\" data-xocs-content-type=\"reference\" href=\"#bib62\" name=\"bbib62\" position_id=\"1434\"><span class=\"anchor-text-container\" position_id=\"1435\"><span class=\"anchor-text\" position_id=\"1436\"><sup position_id=\"1437\">64</sup></span></span></a></td><td position_id=\"1438\"><a class=\"anchor anchor-primary\" href=\"https://anaconda.org/anaconda/scipy\" target=\"_blank\" position_id=\"1439\"><span class=\"anchor-text-container\" position_id=\"1440\"><span class=\"anchor-text\" position_id=\"1441\">https://anaconda.org/anaconda/scipy</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1442\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1443\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1444\"><td position_id=\"1445\">fimo</td><td position_id=\"1446\">Grant et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib60\" data-xocs-content-type=\"reference\" href=\"#bib60\" name=\"bbib60\" position_id=\"1447\"><span class=\"anchor-text-container\" position_id=\"1448\"><span class=\"anchor-text\" position_id=\"1449\"><sup position_id=\"1450\">65</sup></span></span></a></td><td position_id=\"1451\"><a class=\"anchor anchor-primary\" href=\"https://meme-suite.org/meme/doc/fimo.html\" target=\"_blank\" position_id=\"1452\"><span class=\"anchor-text-container\" position_id=\"1453\"><span class=\"anchor-text\" position_id=\"1454\">https://meme-suite.org/meme/doc/fimo.html</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1455\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1456\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1457\"><td position_id=\"1458\">samtools</td><td position_id=\"1459\">Li et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib63\" data-xocs-content-type=\"reference\" href=\"#bib63\" name=\"bbib63\" position_id=\"1460\"><span class=\"anchor-text-container\" position_id=\"1461\"><span class=\"anchor-text\" position_id=\"1462\"><sup position_id=\"1463\">66</sup></span></span></a></td><td position_id=\"1464\"><a class=\"anchor anchor-primary\" href=\"http://www.htslib.org/\" target=\"_blank\" position_id=\"1465\"><span class=\"anchor-text-container\" position_id=\"1466\"><span class=\"anchor-text\" position_id=\"1467\">http://www.htslib.org/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1468\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1469\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1470\"><td position_id=\"1471\">pilon</td><td position_id=\"1472\">Walker et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib64\" data-xocs-content-type=\"reference\" href=\"#bib64\" name=\"bbib64\" position_id=\"1473\"><span class=\"anchor-text-container\" position_id=\"1474\"><span class=\"anchor-text\" position_id=\"1475\"><sup position_id=\"1476\">67</sup></span></span></a></td><td position_id=\"1477\"><a class=\"anchor anchor-primary\" href=\"https://github.com/broadinstitute/pilon\" target=\"_blank\" position_id=\"1478\"><span class=\"anchor-text-container\" position_id=\"1479\"><span class=\"anchor-text\" position_id=\"1480\">https://github.com/broadinstitute/pilon</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1481\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1482\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1483\"><td position_id=\"1484\">PURGEhaplotigs</td><td position_id=\"1485\">Roach et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib65\" data-xocs-content-type=\"reference\" href=\"#bib65\" name=\"bbib65\" position_id=\"1486\"><span class=\"anchor-text-container\" position_id=\"1487\"><span class=\"anchor-text\" position_id=\"1488\"><sup position_id=\"1489\">68</sup></span></span></a></td><td position_id=\"1490\"><a class=\"anchor anchor-primary\" href=\"https://github.com/dfguan/purge_haplotigs\" target=\"_blank\" position_id=\"1491\"><span class=\"anchor-text-container\" position_id=\"1492\"><span class=\"anchor-text\" position_id=\"1493\">https://github.com/dfguan/purge_haplotigs</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1494\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1495\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1496\"><td position_id=\"1497\">Juicer</td><td position_id=\"1498\">Durand et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib66\" data-xocs-content-type=\"reference\" href=\"#bib66\" name=\"bbib66\" position_id=\"1499\"><span class=\"anchor-text-container\" position_id=\"1500\"><span class=\"anchor-text\" position_id=\"1501\"><sup position_id=\"1502\">69</sup></span></span></a></td><td position_id=\"1503\"><a class=\"anchor anchor-primary\" href=\"https://github.com/aidenlab/juicer\" target=\"_blank\" position_id=\"1504\"><span class=\"anchor-text-container\" position_id=\"1505\"><span class=\"anchor-text\" position_id=\"1506\">https://github.com/aidenlab/juicer</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1507\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1508\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1509\"><td position_id=\"1510\">Assembly Tools</td><td position_id=\"1511\">Durand et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib66\" data-xocs-content-type=\"reference\" href=\"#bib66\" name=\"bbib66\" position_id=\"1512\"><span class=\"anchor-text-container\" position_id=\"1513\"><span class=\"anchor-text\" position_id=\"1514\"><sup position_id=\"1515\">69</sup></span></span></a></td><td position_id=\"1516\"><a class=\"anchor anchor-primary\" href=\"https://github.com/aidenlab/juicer\" target=\"_blank\" position_id=\"1517\"><span class=\"anchor-text-container\" position_id=\"1518\"><span class=\"anchor-text\" position_id=\"1519\">https://github.com/aidenlab/juicer</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1520\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1521\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1522\"><td position_id=\"1523\">TGS-GapCloser</td><td position_id=\"1524\"/><td position_id=\"1525\"><a class=\"anchor anchor-primary\" href=\"https://github.com/BGI-Qingdao/TGS-GapCloser\" target=\"_blank\" position_id=\"1526\"><span class=\"anchor-text-container\" position_id=\"1527\"><span class=\"anchor-text\" position_id=\"1528\">https://github.com/BGI-Qingdao/TGS-GapCloser</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1529\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1530\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1531\"><td position_id=\"1532\">LASTZ</td><td position_id=\"1533\"/><td position_id=\"1534\"><a class=\"anchor anchor-primary\" href=\"https://github.com/lastz/lastz\" target=\"_blank\" position_id=\"1535\"><span class=\"anchor-text-container\" position_id=\"1536\"><span class=\"anchor-text\" position_id=\"1537\">https://github.com/lastz/lastz</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1538\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1539\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1540\"><td position_id=\"1541\">Emboss</td><td position_id=\"1542\">Rice et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib67\" data-xocs-content-type=\"reference\" href=\"#bib67\" name=\"bbib67\" position_id=\"1543\"><span class=\"anchor-text-container\" position_id=\"1544\"><span class=\"anchor-text\" position_id=\"1545\"><sup position_id=\"1546\">70</sup></span></span></a></td><td position_id=\"1547\"><a class=\"anchor anchor-primary\" href=\"http://emboss.sourceforge.net/\" target=\"_blank\" position_id=\"1548\"><span class=\"anchor-text-container\" position_id=\"1549\"><span class=\"anchor-text\" position_id=\"1550\">http://emboss.sourceforge.net/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1551\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1552\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1553\"><td position_id=\"1554\">cutadapt</td><td position_id=\"1555\">Martin<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib68\" data-xocs-content-type=\"reference\" href=\"#bib68\" name=\"bbib68\" position_id=\"1556\"><span class=\"anchor-text-container\" position_id=\"1557\"><span class=\"anchor-text\" position_id=\"1558\"><sup position_id=\"1559\">71</sup></span></span></a></td><td position_id=\"1560\"><a class=\"anchor anchor-primary\" href=\"https://cutadapt.readthedocs.io/\" target=\"_blank\" position_id=\"1561\"><span class=\"anchor-text-container\" position_id=\"1562\"><span class=\"anchor-text\" position_id=\"1563\">https://cutadapt.readthedocs.io/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1564\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1565\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1566\"><td position_id=\"1567\">MACS</td><td position_id=\"1568\">Zhang et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib69\" data-xocs-content-type=\"reference\" href=\"#bib69\" name=\"bbib69\" position_id=\"1569\"><span class=\"anchor-text-container\" position_id=\"1570\"><span class=\"anchor-text\" position_id=\"1571\"><sup position_id=\"1572\">72</sup></span></span></a></td><td position_id=\"1573\"><a class=\"anchor anchor-primary\" href=\"https://github.com/macs3-project/MACS\" target=\"_blank\" position_id=\"1574\"><span class=\"anchor-text-container\" position_id=\"1575\"><span class=\"anchor-text\" position_id=\"1576\">https://github.com/macs3-project/MACS</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1577\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1578\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1579\"><td position_id=\"1580\">hifiasm</td><td position_id=\"1581\">Cheng et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib70\" data-xocs-content-type=\"reference\" href=\"#bib70\" name=\"bbib70\" position_id=\"1582\"><span class=\"anchor-text-container\" position_id=\"1583\"><span class=\"anchor-text\" position_id=\"1584\"><sup position_id=\"1585\">73</sup></span></span></a></td><td position_id=\"1586\"><a class=\"anchor anchor-primary\" href=\"https://github.com/chhylp123/hifiasm\" target=\"_blank\" position_id=\"1587\"><span class=\"anchor-text-container\" position_id=\"1588\"><span class=\"anchor-text\" position_id=\"1589\">https://github.com/chhylp123/hifiasm</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1590\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1591\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1592\"><td position_id=\"1593\">RepeatMasker</td><td position_id=\"1594\"/><td position_id=\"1595\"><a class=\"anchor anchor-primary\" href=\"http://www.repeatmasker.org/\" target=\"_blank\" position_id=\"1596\"><span class=\"anchor-text-container\" position_id=\"1597\"><span class=\"anchor-text\" position_id=\"1598\">http://www.repeatmasker.org/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1599\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1600\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1601\"><td position_id=\"1602\">Bonito</td><td position_id=\"1603\"/><td position_id=\"1604\"><a class=\"anchor anchor-primary\" href=\"https://github.com/nanoporetech/bonito\" target=\"_blank\" position_id=\"1605\"><span class=\"anchor-text-container\" position_id=\"1606\"><span class=\"anchor-text\" position_id=\"1607\">https://github.com/nanoporetech/bonito</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1608\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1609\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1610\"><td position_id=\"1611\">Remora</td><td position_id=\"1612\"/><td position_id=\"1613\"><a class=\"anchor anchor-primary\" href=\"https://github.com/nanoporetech/remora\" target=\"_blank\" position_id=\"1614\"><span class=\"anchor-text-container\" position_id=\"1615\"><span class=\"anchor-text\" position_id=\"1616\">https://github.com/nanoporetech/remora</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1617\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1618\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1619\"><td position_id=\"1620\">modbam2bed</td><td position_id=\"1621\"/><td position_id=\"1622\"><a class=\"anchor anchor-primary\" href=\"https://github.com/nanoporetech/modbam2bed\" target=\"_blank\" position_id=\"1623\"><span class=\"anchor-text-container\" position_id=\"1624\"><span class=\"anchor-text\" position_id=\"1625\">https://github.com/nanoporetech/modbam2bed</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1626\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1627\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1628\"><td position_id=\"1629\">bedtools</td><td position_id=\"1630\">Quinlan and Hall<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib71\" data-xocs-content-type=\"reference\" href=\"#bib71\" name=\"bbib71\" position_id=\"1631\"><span class=\"anchor-text-container\" position_id=\"1632\"><span class=\"anchor-text\" position_id=\"1633\"><sup position_id=\"1634\">74</sup></span></span></a></td><td position_id=\"1635\"><a class=\"anchor anchor-primary\" href=\"https://bedtools.readthedocs.io/\" target=\"_blank\" position_id=\"1636\"><span class=\"anchor-text-container\" position_id=\"1637\"><span class=\"anchor-text\" position_id=\"1638\">https://bedtools.readthedocs.io/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1639\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1640\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1641\"><td position_id=\"1642\">bedops</td><td position_id=\"1643\">Neph et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib72\" data-xocs-content-type=\"reference\" href=\"#bib72\" name=\"bbib72\" position_id=\"1644\"><span class=\"anchor-text-container\" position_id=\"1645\"><span class=\"anchor-text\" position_id=\"1646\"><sup position_id=\"1647\">75</sup></span></span></a></td><td position_id=\"1648\"><a class=\"anchor anchor-primary\" href=\"https://bedops.readthedocs.io/en/latest/\" target=\"_blank\" position_id=\"1649\"><span class=\"anchor-text-container\" position_id=\"1650\"><span class=\"anchor-text\" position_id=\"1651\">https://bedops.readthedocs.io/en/latest/</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1652\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1653\"/></svg></span></a></td></tr><tr class=\"valign-top\" position_id=\"1654\"><td position_id=\"1655\">Guppy</td><td position_id=\"1656\">ONT</td><td position_id=\"1657\">N/A</td></tr><tr class=\"valign-top\" position_id=\"1658\"><td position_id=\"1659\">Flye</td><td position_id=\"1660\">Kolmogorov et al.<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib73\" data-xocs-content-type=\"reference\" href=\"#bib73\" name=\"bbib73\" position_id=\"1661\"><span class=\"anchor-text-container\" position_id=\"1662\"><span class=\"anchor-text\" position_id=\"1663\"><sup position_id=\"1664\">76</sup></span></span></a></td><td position_id=\"1665\"><a class=\"anchor anchor-primary\" href=\"https://github.com/mikolmogorov/Flye\" target=\"_blank\" position_id=\"1666\"><span class=\"anchor-text-container\" position_id=\"1667\"><span class=\"anchor-text\" position_id=\"1668\">https://github.com/mikolmogorov/Flye</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1669\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1670\"/></svg></span></a></td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1671\"><td position_id=\"1672\">BWA</td><td position_id=\"1673\">Li and Durbin<a class=\"anchor anchor-primary\" data-sd-ui-side-panel-opener=\"true\" data-xocs-content-id=\"bib74\" data-xocs-content-type=\"reference\" href=\"#bib74\" name=\"bbib74\" position_id=\"1674\"><span class=\"anchor-text-container\" position_id=\"1675\"><span class=\"anchor-text\" position_id=\"1676\"><sup position_id=\"1677\">77</sup></span></span></a></td><td position_id=\"1678\"><a class=\"anchor anchor-primary\" href=\"https://github.com/lh3/bwa\" target=\"_blank\" position_id=\"1679\"><span class=\"anchor-text-container\" position_id=\"1680\"><span class=\"anchor-text\" position_id=\"1681\">https://github.com/lh3/bwa</span><svg aria-label=\"Opens in new window\" class=\"icon icon-arrow-up-right-tiny arrow-external-link\" viewBox=\"0 0 8 8\" focusable=\"false\" height=\"20\" position_id=\"1682\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\" position_id=\"1683\"/></svg></span></a></td></tr><tr class=\"rowsep-1 valign-top\" position_id=\"1684\"><th colspan=\"3\" scope=\"row\" position_id=\"1685\"><strong position_id=\"1686\">Other</strong></th></tr><tr class=\"valign-top\" position_id=\"1687\"><td position_id=\"1688\">Sage Science PippinHT platform</td><td position_id=\"1689\">Sage Science</td><td position_id=\"1690\">ELF0001</td></tr><tr class=\"valign-top\" position_id=\"1691\"><td position_id=\"1692\">Megaruptor</td><td position_id=\"1693\">Diagenode Diagnostics</td><td position_id=\"1694\">N/A</td></tr></tbody></table>", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[1]/div/span/div/div/table"}]}, "tags": ["table"], "label": "table", "web_segment_id": 112, "global_sentence_id": 203, "edu_l1_label": "EDU_O"}, {"txt": "Method details", "language": "english", "position": {"atoms": [{"position_id": 5181, "txt": "Method details", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 113, "global_sentence_id": 204, "edu_l1_label": "EDU_O"}, {"txt": "Cell line authentication", "language": "english", "position": {"atoms": [{"position_id": 5183, "txt": "Cell line authentication", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[1]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 114, "global_sentence_id": 205, "edu_l1_label": "EDU_O"}, {"txt": "The genetic identity of each cell line was authenticated by comparing the genetic sequencing data against previously published sequencing and assembly data from each sample.", "language": "english", "position": {"atoms": [{"position_id": 5185, "txt": "The genetic identity of each cell line was authenticated by comparing the genetic sequencing data against previously published sequencing and assembly data from each sample.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[1]/div"}]}, "tags": [], "label": "content", "web_segment_id": 115, "global_sentence_id": 206, "edu_l1_label": "EDU_O"}, {"txt": "Single-molecule chromatin fiber sequencing", "language": "english", "position": {"atoms": [{"position_id": 5187, "txt": "Single-molecule chromatin fiber sequencing", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 116, "global_sentence_id": 207, "edu_l1_label": "EDU_O"}, {"txt": "CHM13 cells were grown in AmnioMax C-100 Basal Medium (Invitrogen 12558011), which includes the AmnioMAX C-100 Supplement to approximately 90% confluency at 37°C and 5% CO2.", "language": "english", "position": {"atoms": [{"position_id": 5189, "txt": "CHM13 cells were grown in AmnioMax C-100 Basal Medium (Invitrogen 12558011), which includes the AmnioMAX C-100 Supplement to approximately 90% confluency at 37°C and 5% CO", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]"}, {"position_id": 5191, "txt": "2", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/sub"}, {"position_id": 5193, "txt": ".", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/sub"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 208, "edu_l1_label": "EDU_O"}, {"txt": " Growth media was changed daily, and cells were split using 0.25% trypsin (GIbco 25200056).", "language": "english", "position": {"atoms": [{"position_id": 5194, "txt": " Growth media was changed daily, and cells were split using 0.25% trypsin (GIbco 25200056).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/sub"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 209, "edu_l1_label": "EDU_O"}, {"txt": " One million CHM13 cells per sample were pelleted at 250 x g for 5 min (4 samples were processed in parallel), and washed once with PBS and then pelleted again at 250 x g for 5 min.", "language": "english", "position": {"atoms": [{"position_id": 5195, "txt": " One million CHM13 cells per sample were pelleted at 250 x g for 5 min (4 samples were processed in parallel), and washed once with PBS and then pelleted again at 250 x g for 5 min.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/sub"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 210, "edu_l1_label": "EDU_O"}, {"txt": " Each cell pellet was resuspended in 60 μl Buffer A (15 mM Tris, pH 8.0; 15 mM NaCl; 60 mM KCl; 1mM EDTA, pH 8.0; 0.5 mM EGTA, pH 8.0; 0.5 mM Spermidine) and 60 μl of cold 2X Lysis buffer (0.1% IGEPAL CA-630 in Buffer A) was added and mixed by gentle flicking then kept on ice for 10 min.", "language": "english", "position": {"atoms": [{"position_id": 5196, "txt": " Each cell pellet was resuspended in 60 μl Buffer A (15 mM Tris, pH 8.0; 15 mM NaCl; 60 mM KCl; 1mM EDTA, pH 8.0; 0.5 mM EGTA, pH 8.0; 0.5 mM Spermidine) and 60 μl of cold 2X Lysis buffer (0.1% IGEPAL CA-630 in Buffer A) was added and mixed by gentle flicking then kept on ice for 10 min.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/sub"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 211, "edu_l1_label": "EDU_O"}, {"txt": " Samples were then pelleted at 4°C for 5 min at 350 x g and the supernatant was removed.", "language": "english", "position": {"atoms": [{"position_id": 5197, "txt": " Samples were then pelleted at 4°C for 5 min at 350 x g and the supernatant was removed.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/sub"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 212, "edu_l1_label": "EDU_O"}, {"txt": " The nuclei pellets were gently resuspended individually with wide bore pipette tips in 57.5 μl Buffer A and moved to a 25°C thermocycler.", "language": "english", "position": {"atoms": [{"position_id": 5198, "txt": " The nuclei pellets were gently resuspended individually with wide bore pipette tips in 57.5 μl Buffer A and moved to a 25°C thermocycler.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/sub"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 213, "edu_l1_label": "EDU_O"}, {"txt": " 1 μl of Hia5 MTase (200 U)19 and 1.5 μl 32 mM S-adenosylmethionine (NEB B9003S) (0.8 mM final concentration) were added, then carefully mixed by pipetting the volume up and down 10 times with wide bore tips.", "language": "english", "position": {"atoms": [{"position_id": 5199, "txt": " 1 μl of Hia5 MTase (200 U)", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/sub"}, {"position_id": 5201, "txt": "19", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a/span/span/sup"}, {"position_id": 5203, "txt": " and 1.5 μl 32 mM S-adenosylmethionine (NEB B9003S) (0.8 mM final concentration) were added, then carefully mixed by pipetting the volume up and down 10 times with wide bore tips.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 214, "edu_l1_label": "EDU_O"}, {"txt": " The reactions were incubated for 10 min at 25°C then stopped with 3 μl of 20% SDS (1% final concentration) and transferred to new 1.5 mL microfuge tubes.", "language": "english", "position": {"atoms": [{"position_id": 5204, "txt": " The reactions were incubated for 10 min at 25°C then stopped with 3 μl of 20% SDS (1% final concentration) and transferred to new 1.5 mL microfuge tubes.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 215, "edu_l1_label": "EDU_O"}, {"txt": " The sample volumes were adjusted to 100 μl by the addition of 37 μl PBS.", "language": "english", "position": {"atoms": [{"position_id": 5205, "txt": " The sample volumes were adjusted to 100 μl by the addition of 37 μl PBS.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 216, "edu_l1_label": "EDU_O"}, {"txt": " To that, 500 μl of HMW Lysis Buffer A (Promega Wizard HMW DNA Extraction Kit A2920) and 3 μl RNAse A (ThermoFisher EN0531) were added.", "language": "english", "position": {"atoms": [{"position_id": 5206, "txt": " To that, 500 μl of HMW Lysis Buffer A (Promega Wizard HMW DNA Extraction Kit A2920) and 3 μl RNAse A (ThermoFisher EN0531) were added.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 217, "edu_l1_label": "EDU_O"}, {"txt": " The tubes were mixed by inverting 7 times and incubated 15 min at 37°C.", "language": "english", "position": {"atoms": [{"position_id": 5207, "txt": " The tubes were mixed by inverting 7 times and incubated 15 min at 37°C.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 218, "edu_l1_label": "EDU_O"}, {"txt": " 20 μl of Proteinase K (Promega Wizard HMW DNA Extraction Kit A2920) was added and the samples mixed by inverting 10 times and incubated 15 min at 56°C followed by chilling on ice for 1 min.", "language": "english", "position": {"atoms": [{"position_id": 5208, "txt": " 20 μl of Proteinase K (Promega Wizard HMW DNA Extraction Kit A2920) was added and the samples mixed by inverting 10 times and incubated 15 min at 56°C followed by chilling on ice for 1 min.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 219, "edu_l1_label": "EDU_O"}, {"txt": " Protein was precipitated by the addition of 200 μl Protein Precipitation Solution (Promega Wizard HMW DNA Extraction Kit A2920).", "language": "english", "position": {"atoms": [{"position_id": 5209, "txt": " Protein was precipitated by the addition of 200 μl Protein Precipitation Solution (Promega Wizard HMW DNA Extraction Kit A2920).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 220, "edu_l1_label": "EDU_O"}, {"txt": " Using a wide bore tip the samples were mixed by drawing up contents from the bottom of the tube and then expelled on the side of the tube 5 times.", "language": "english", "position": {"atoms": [{"position_id": 5210, "txt": " Using a wide bore tip the samples were mixed by drawing up contents from the bottom of the tube and then expelled on the side of the tube 5 times.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 221, "edu_l1_label": "EDU_O"}, {"txt": " Tubes were centrifuged at 16,000g for 5 min.", "language": "english", "position": {"atoms": [{"position_id": 5211, "txt": " Tubes were centrifuged at 16,000g for 5 min.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 222, "edu_l1_label": "EDU_O"}, {"txt": " The supernatant was poured into a new 1.5 ml tube containing 600 μl isopropanol.", "language": "english", "position": {"atoms": [{"position_id": 5212, "txt": " The supernatant was poured into a new 1.5 ml tube containing 600 μl isopropanol.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 223, "edu_l1_label": "EDU_O"}, {"txt": " This was mixed by gentle inversion 10 times, incubated 1 min at room temperature then inverted an additional 10 times.", "language": "english", "position": {"atoms": [{"position_id": 5213, "txt": " This was mixed by gentle inversion 10 times, incubated 1 min at room temperature then inverted an additional 10 times.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 224, "edu_l1_label": "EDU_O"}, {"txt": " DNA was precipitated by centrifugation at 16,000g for 5 min.", "language": "english", "position": {"atoms": [{"position_id": 5214, "txt": " DNA was precipitated by centrifugation at 16,000g for 5 min.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 225, "edu_l1_label": "EDU_O"}, {"txt": " The supernatant was decanted and the pellet washed with the addition of 70% ethanol and centrifuged again at 16,000 g 5 min.", "language": "english", "position": {"atoms": [{"position_id": 5215, "txt": " The supernatant was decanted and the pellet washed with the addition of 70% ethanol and centrifuged again at 16,000 g 5 min.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 226, "edu_l1_label": "EDU_O"}, {"txt": " After the supernatant was decanted, a quick spin was performed to facilitate removal of any residual ethanol.", "language": "english", "position": {"atoms": [{"position_id": 5216, "txt": " After the supernatant was decanted, a quick spin was performed to facilitate removal of any residual ethanol.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 227, "edu_l1_label": "EDU_O"}, {"txt": " Open tubes were air dried on the bench for 15 min.", "language": "english", "position": {"atoms": [{"position_id": 5217, "txt": " Open tubes were air dried on the bench for 15 min.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 228, "edu_l1_label": "EDU_O"}, {"txt": " The DNA was resuspended by the addition of 25 μl 10mM Tris pH 8.0.", "language": "english", "position": {"atoms": [{"position_id": 5218, "txt": " The DNA was resuspended by the addition of 25 μl 10mM Tris pH 8.0.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 229, "edu_l1_label": "EDU_O"}, {"txt": " Tubes were stored overnight in 4°C and the next day were mixed gently by using a wide bore pipette tip, drawing up the sample 5 times and gently expelling the contents on the side of the tube.", "language": "english", "position": {"atoms": [{"position_id": 5219, "txt": " Tubes were stored overnight in 4°C and the next day were mixed gently by using a wide bore pipette tip, drawing up the sample 5 times and gently expelling the contents on the side of the tube.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 230, "edu_l1_label": "EDU_O"}, {"txt": " Samples were then stored at -80°C prior to library construction.", "language": "english", "position": {"atoms": [{"position_id": 5220, "txt": " Samples were then stored at -80°C prior to library construction.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 231, "edu_l1_label": "EDU_O"}, {"txt": "DNA shearing, library construction, and PacBio Sequel II sequencing were performed as previously described.19 with the exception that 15-20 kb fragments were targeted when shearing using the Megaruptor (Diagenode Diagnostics).", "language": "english", "position": {"atoms": [{"position_id": 5222, "txt": "DNA shearing, library construction, and PacBio Sequel II sequencing were performed as previously described.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[2]"}, {"position_id": 5224, "txt": "19", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[2]/a/span/span/sup"}, {"position_id": 5226, "txt": " with the exception that 15-20 kb fragments were targeted when shearing using the Megaruptor (Diagenode Diagnostics).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[2]/div[2]/a"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 232, 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"/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[4]/div[4]/em[1]"}, {"position_id": 5319, "txt": " using default parameters.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[4]/div[4]/em[1]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 127, "global_sentence_id": 262, "edu_l1_label": "EDU_O"}, {"txt": " By default, this process is run in the background during fibertools-rs predict-m6A.", "language": "english", "position": {"atoms": [{"position_id": 5320, "txt": " By default, this process is run in the background during ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[4]/div[4]/em[1]"}, {"position_id": 5322, "txt": "fibertools-rs predict-m6A.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[4]/div[4]/em[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 127, "global_sentence_id": 263, "edu_l1_label": "EDU_O"}, {"txt": "Nucleosome, MSP, and m6A bigWig tracks were generated by counting total occurrences across all molecules at a bp and dividing by the coverage at that bp.", "language": "english", "position": {"atoms": [{"position_id": 5324, "txt": "Nucleosome, MSP, and m6A bigWig tracks were generated by counting total occurrences across all molecules at a bp and dividing by the coverage at that bp.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[4]/div[5]"}]}, "tags": [], "label": "content", "web_segment_id": 128, "global_sentence_id": 264, "edu_l1_label": "EDU_O"}, {"txt": "Identifying the centromere core/centromere dip region", "language": "english", "position": {"atoms": [{"position_id": 5326, "txt": "Identifying the centromere core/centromere dip region", "x": 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CHM1 annotations were generated as previously described.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/a[2]"}, {"position_id": 5338, "txt": "38", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/a[3]/span/span/sup"}, {"position_id": 5340, "txt": " For CHM13 and CHM1, alpha satellite repeats less than 25 bp apart were merged together and we only kept alpha satellite stretches ≥ 100 kb.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 130, "global_sentence_id": 266, "edu_l1_label": "EDU_O"}, {"txt": " We then made windows of 1190 bp across this region with step size of 170 bp (approximate alpha satellite repeat length).", "language": "english", "position": {"atoms": [{"position_id": 5341, "txt": " We then made windows of 1190 bp across this region with step size of 170 bp (approximate alpha satellite repeat length).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 130, "global_sentence_id": 267, "edu_l1_label": "EDU_O"}, {"txt": " We then took the mean CpG methylation frequency across all CpG sites that fall in the window.", "language": "english", "position": {"atoms": [{"position_id": 5342, "txt": " We then took the mean CpG methylation frequency across all CpG sites that fall in the window.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 130, "global_sentence_id": 268, "edu_l1_label": "EDU_O"}, {"txt": " We identified all windows that were below the 35th percentile of CpG methylation window frequency, and merged neighboring windows that passed this threshold.", "language": "english", "position": {"atoms": [{"position_id": 5343, "txt": " We identified all windows that were below the 35", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/a[3]"}, {"position_id": 5345, "txt": "th", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/sup[1]"}, {"position_id": 5347, "txt": " percentile of CpG methylation window frequency, and merged neighboring windows that passed this threshold.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/sup[1]"}]}, "tags": [], "label": "content", "web_segment_id": 130, "global_sentence_id": 269, "edu_l1_label": "EDU_O"}, {"txt": " Merged windows that were 1) at least 15 kb in length, 2) had a mean CpG methylation window frequency < 20th percentile, and 3) were not located in the terminal 70 kb of the alpha satellite repeat region were identified as CDRs.", "language": "english", "position": {"atoms": [{"position_id": 5348, "txt": " Merged windows that were 1) at least 15 kb in length, 2) had a mean CpG methylation window frequency < 20", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/sup[1]"}, {"position_id": 5350, "txt": "th", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/sup[2]"}, {"position_id": 5352, "txt": " percentile, and 3) were not located in the terminal 70 kb of the alpha satellite repeat region were identified as CDRs.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/sup[2]"}]}, "tags": [], "label": "content", "web_segment_id": 130, "global_sentence_id": 270, "edu_l1_label": "EDU_O"}, {"txt": " For HG002, CDRs were identified using the same approach, but the threshold to the terminus of the alpha satellite array was lowered to 15 kb.", "language": "english", "position": {"atoms": [{"position_id": 5353, "txt": " For HG002, CDRs were identified using the same approach, but the threshold to the terminus of the alpha satellite array was lowered to 15 kb.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/sup[2]"}]}, "tags": [], "label": "content", "web_segment_id": 130, "global_sentence_id": 271, "edu_l1_label": "EDU_O"}, {"txt": " For HLE, we used CENPA CUT&RUN enriched regions to identify the centromere core, as we did not know whether to expect this region to be hypo-CpG methylated.", "language": "english", "position": {"atoms": [{"position_id": 5354, "txt": " For HLE, we used CENPA CUT&RUN enriched regions to identify the centromere core, as we did not know whether to expect this region to be hypo-CpG methylated.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[5]/div/sup[2]"}]}, "tags": [], "label": "content", "web_segment_id": 130, "global_sentence_id": 272, "edu_l1_label": "EDU_O"}, {"txt": "Identification of di-nucleosomes and large MSPs", "language": "english", "position": {"atoms": [{"position_id": 5356, "txt": "Identification of di-nucleosomes and large MSPs", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[6]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 131, "global_sentence_id": 273, "edu_l1_label": "EDU_O"}, {"txt": "The cutoff for identifying di-nucleosomes and large MSPs was 210 and 150, respectively.", "language": "english", "position": {"atoms": [{"position_id": 5358, "txt": "The cutoff for identifying di-nucleosomes and large MSPs was 210 and 150, respectively.", "x": 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"position": {"atoms": [{"position_id": 5361, "txt": "Measuring distance between neighboring accessible patches", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[7]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 133, "global_sentence_id": 276, "edu_l1_label": "EDU_O"}, {"txt": "To calculate the observed distance between large MSPs we calculated the distance between large MSP start positions.", "language": "english", "position": {"atoms": [{"position_id": 5363, "txt": "To calculate the observed distance between large MSPs we calculated the distance between large MSP start positions.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[7]/div"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 277, "edu_l1_label": "EDU_O"}, {"txt": " To calculate the expected distance between large MSPs in the CDR, we first calculated the number of large MSPs fully contained in the CDR and divided by the total number of sequenced bases per CDR to get a large MSP/sequenced bp value.", "language": "english", "position": {"atoms": [{"position_id": 5364, "txt": " To calculate the expected distance between large MSPs in the CDR, we first calculated the number of large MSPs fully contained in the CDR and divided by the total number of sequenced bases per CDR to get a large MSP/sequenced bp value.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[7]/div"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 278, "edu_l1_label": "EDU_O"}, {"txt": " We then multiply the resulting value by the length of the respective CDR to get the expected number of large MSPs per CDR.", "language": "english", "position": {"atoms": [{"position_id": 5365, "txt": " We then multiply the resulting value by the length of the respective CDR to get the expected number of large MSPs per CDR.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[7]/div"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 279, "edu_l1_label": "EDU_O"}, {"txt": " We divide the length of the CDR by this value to get the expected number of bp between large MSPs within the CDR.", "language": "english", "position": {"atoms": [{"position_id": 5366, "txt": " We divide the length of the CDR by this value to get the expected number of bp between large MSPs within the CDR.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[7]/div"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 280, "edu_l1_label": "EDU_O"}, {"txt": "Determining chromatin repeat lengths", "language": "english", "position": {"atoms": [{"position_id": 5368, "txt": "Determining chromatin repeat lengths", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[8]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 135, "global_sentence_id": 281, "edu_l1_label": "IOS"}, {"txt": "To determine the chromatin repeat length of individual chromatin fibers, the per-base m6A pattern on each fiber was converted into a binary vector (m6a=1, no-m6a=0).", "language": "english", "position": {"atoms": [{"position_id": 5370, "txt": "To determine the chromatin repeat length of individual chromatin fibers, the per-base m6A pattern on each fiber was converted into a binary vector (m6a=1, no-m6a=0).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[8]/div"}]}, "tags": [], "label": "content", "web_segment_id": 136, "global_sentence_id": 282, "edu_l1_label": "IOS"}, {"txt": " These vectors were then independently analyzed using the scipy.signal.periodogram tool.", "language": "english", "position": {"atoms": [{"position_id": 5371, "txt": " These vectors were then independently analyzed using the ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[8]/div"}, {"position_id": 5373, "txt": "scipy.signal.periodogram", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[8]/div/em"}, {"position_id": 5375, "txt": " tool.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[8]/div/em"}]}, "tags": ["em"], "label": "content", "web_segment_id": 136, "global_sentence_id": 283, "edu_l1_label": "EDU_O"}, {"txt": " This results in spectral density estimations across a vector of frequencies, which is the inverse of the nucleosome repeat length in base-pairs.", "language": "english", "position": {"atoms": [{"position_id": 5376, "txt": " This results in spectral density estimations across a vector of frequencies, which is the inverse of the nucleosome repeat length in base-pairs.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[8]/div/em"}]}, "tags": ["em"], "label": "content", "web_segment_id": 136, "global_sentence_id": 284, "edu_l1_label": "EDU_O"}, {"txt": " Spectral densities derived from multiple fibers originating from similar genomic loci were combined and displayed.", "language": "english", "position": {"atoms": [{"position_id": 5377, "txt": " Spectral densities derived from multiple fibers originating from similar genomic loci were combined and displayed.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[8]/div/em"}]}, "tags": ["em"], "label": "content", "web_segment_id": 136, "global_sentence_id": 285, "edu_l1_label": "EDU_O"}, {"txt": "Delineating CENP-B binding elements and occupancy", "language": "english", "position": {"atoms": [{"position_id": 5379, "txt": "Delineating CENP-B binding 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"position": {"atoms": [{"position_id": 5382, "txt": " Specifically, genomic regions were scanned with this motif using ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]"}, {"position_id": 5384, "txt": "fimo", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]/em[1]"}, {"position_id": 5386, "txt": " (version 4.11.2)", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]/em[1]"}, {"position_id": 5388, "txt": "65", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]/a/span/span/sup"}, {"position_id": 5390, "txt": " with the ", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]/a"}, {"position_id": 5392, "txt": "--parse-genomic-coord --qv-thresh --thresh 0.05 --max-stored-scores 1000000", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]/em[2]"}, {"position_id": 5394, "txt": " flags.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]/em[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 138, "global_sentence_id": 288, "edu_l1_label": "IOS"}, {"txt": " We further filtered motifs to those which contained 2 CpG sites.", "language": "english", "position": {"atoms": [{"position_id": 5395, "txt": " We further filtered motifs to those which contained 2 CpG sites.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]/em[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 138, "global_sentence_id": 289, "edu_l1_label": "IOS"}, {"txt": " To delineate the occupancy of these CENP-B boxes, we intersected CENP-B boxes per-fiber methylation calls.", "language": "english", "position": {"atoms": [{"position_id": 5396, "txt": " To delineate the occupancy of these CENP-B boxes, we intersected CENP-B boxes per-fiber methylation calls.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]/em[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 138, "global_sentence_id": 290, "edu_l1_label": "IOS"}, {"txt": " Specifically, the m6A methylation profile of every region along every fiber overlapping a CENP-B box was converted into a binary profile (m6a=1, no-m6a=0) and stored in an array.", "language": "english", "position": {"atoms": [{"position_id": 5397, "txt": " Specifically, the m6A methylation profile of every region along every fiber overlapping a CENP-B box was converted into a binary profile (m6a=1, no-m6a=0) and stored in an array.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]/em[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 138, "global_sentence_id": 291, "edu_l1_label": "IOS"}, {"txt": " Based on genomic context and/or CpG methylation contexts these arrays were collapsed to form m6A frequency tracks with a rolling average of 10bp.", "language": "english", "position": {"atoms": [{"position_id": 5398, "txt": " Based on genomic context and/or CpG methylation contexts these arrays were collapsed to form m6A frequency tracks with a rolling average of 10bp.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[1]/em[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 138, "global_sentence_id": 292, "edu_l1_label": "IOS"}, {"txt": "To calculate footprint score distributions, we took all fibers fulfilling a filtering requirement (CpG methylation status/genomic region), 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defined by the mean of the smoothed m6A frequency in the -7 - +1 positions relative to the center of the CENP-B box.", "language": "english", "position": {"atoms": [{"position_id": 5403, "txt": " The CENP-B core score was defined by the mean of the smoothed m6A frequency in the -7 - +1 positions relative to the center of the CENP-B box.", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[9]/div[2]"}]}, "tags": [], "label": "content", "web_segment_id": 139, "global_sentence_id": 296, "edu_l1_label": "IOS"}, {"txt": "Quantifying nucleosome positioning surrounding CENP-B boxes", "language": "english", "position": {"atoms": [{"position_id": 5405, "txt": "Quantifying nucleosome positioning surrounding CENP-B boxes", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[10]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 140, "global_sentence_id": 297, "edu_l1_label": "IOS"}, {"txt": "To visualize the association of CENP-B occupancy and surrounding nucleosome positioning we first classified every instance of a chromatin fiber overlapping a CENP-B box by its CpG methylation state (0,1 or 2 mCpGs).", "language": "english", "position": {"atoms": [{"position_id": 5407, "txt": "To visualize the association of CENP-B occupancy and surrounding nucleosome positioning we first classified every instance of a chromatin fiber overlapping a CENP-B box by its CpG methylation state (0,1 or 2 mCpGs).", "x": "/html/body/div[2]/div/div/div/div/div[3]/div[2]/article/div[8]/div[1]/section[8]/section[2]/section[10]/div"}]}, "tags": [], "label": "content", "web_segment_id": 141, "global_sentence_id": 298, "edu_l1_label": "IOS"}, {"txt": " For each overlap, we took the closest (Relative to center of CENPB box) boundary of both the upstream and downstream nucleosome.", "language": "english", "position": {"atoms": [{"position_id": 5408, "txt": " For each overlap, we took 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# Conservation of dichromatin organization along regional centromeres ## Highlights ## Summary ## Graphical abstract ## Keywords ## Introduction ## Results ### Single-molecule chromatin architectures of kinetochore-bound point centromeres ### Dichotomous chromatin marks the centromere core in humans ### CENP-B guides centromere core dichromatin to mirror the alpha-satellite DNA repeat ### Centromere core dichromatin architecture is conserved across highly divergent regional centromeres ## Discussion ## Limitations of the study ## STAR★Methods ### Key resources table ### Method details #### Cell line authentication #### Single-molecule chromatin fiber sequencing #### Yeast strains, yeast fiber-seq and genomic DNA (gDNA) extraction #### Mapping and identifying single-molecule chromatin features #### Identifying the centromere core/centromere dip region #### Identification of di-nucleosomes and large MSPs #### Measuring distance between neighboring accessible patches #### Determining chromatin repeat lengths #### Delineating CENP-B binding elements and occupancy #### Quantifying nucleosome positioning surrounding CENP-B boxes #### Hoolock leuconedys Oxford Nanopore Technologies (ONT) sequencing #### Hoolock leuconedys Dovetail Omni-C sequencing #### Hoolock leuconedys CUT&RUN sequencing #### Hoolock leuconedys genome assembly #### Hoolock leuconedys centromere annotation ### Quantification and statistical analysis
1dc28483-c990-4412-ab30-48562693aa09
web
test/raw_web_htmls/1dc28483-c990-4412-ab30-48562693aa09.html
https://www.sohu.com/a/849117279_180520
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11, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "3. 符合高安全和信任标准、总部位于密切盟友和伙伴国家的实体可以获得“通用验证终端用户”(UVEU)资格:", "language": "chinese", "position": {"atoms": [{"position_id": 196, "txt": "3. 符合高安全和信任标准、总部位于密切盟友和伙伴国家的实体可以获得“通用验证终端用户”(UVEU)资格", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[12]/strong"}, {"position_id": 198, "txt": ":", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[12]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 12, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "持有该资格的实体可将全球人工智能计算能力的最多7%部署在全球其他国家,可能相当于数十万块芯片。", "language": "chinese", "position": {"atoms": [{"position_id": 199, "txt": "持有该资格的实体可将全球人工智能计算能力的最多7%部署在全球其他国家,可能相当于数十万块芯片。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[12]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 12, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "这种信任地位具有全球性和长期性,允许负责任的实体快速灵活扩展,同时加强美国及盟友的全球领导地位,将尖端AI训练能力保持在本国。", "language": 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"/html/body/div/div[2]/div[2]/div[1]/div/article/p[17]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 20, "global_sentence_id": 33, "edu_l1_label": "BOS"}, {"txt": "中国商务部新闻发言人表示,中方注意到,美国政府于1月13日发布了人工智能相关出口管制措施。", "language": "chinese", "position": {"atoms": [{"position_id": 231, "txt": "中国商务部新闻发言人表示,中方注意到,美国政府于1月13日发布了人工智能相关出口管制措施。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "该措施进一步加严对人工智能芯片、模型参数等出口管制,还拓展了长臂管辖,对第三方与中国开展正常贸易设置障碍、横加干涉。", "language": "chinese", "position": {"atoms": [{"position_id": 232, "txt": "该措施进一步加严对人工智能芯片、模型参数等出口管制,还拓展了长臂管辖,对第三方与中国开展正常贸易设置障碍、横加干涉。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "中方对此坚决反对。", "language": "chinese", "position": {"atoms": [{"position_id": 233, "txt": "中方对此坚决反对。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "此前,美国高科技企业、行业组织等通过多种渠道表达不满和担忧,认为该措施未经充分讨论、制定出台草率,是对人工智能领域的过度监管,将产生重大不利后果,强烈呼吁美国政府停止出台。", "language": "chinese", "position": {"atoms": [{"position_id": 235, "txt": "此前,美国高科技企业、行业组织等通过多种渠道表达不满和担忧,认为该措施未经充分讨论、制定出台草率,是对人工智能领域的过度监管,将产生重大不利后果,强烈呼吁美国政府停止出台。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "但美国政府对业界合理呼声充耳不闻,执意仓促出台措施,是泛化国家安全概念、滥用出口管制的又一例证,是对国际多边经贸规则的公然违背。", "language": "chinese", "position": {"atoms": [{"position_id": 236, "txt": "但美国政府对业界合理呼声充耳不闻,执意仓促出台措施,是泛化国家安全概念、滥用出口管制的又一例证,是对国际多边经贸规则的公然违背。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "美国现任政府滥用出口管制措施,严重阻碍各国正常经贸往来,严重破坏市场规则和国际经贸秩序,严重影响全球科技创新,严重损害包括美国企业在内的全球各国企业利益。", "language": "chinese", "position": {"atoms": [{"position_id": 238, "txt": "美国现任政府滥用出口管制措施,严重阻碍各国正常经贸往来,严重破坏市场规则和国际经贸秩序,严重影响全球科技创新,严重损害包括美国企业在内的全球各国企业利益。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "中方将采取必要措施,坚决维护自身正当权益。", "language": "chinese", "position": {"atoms": [{"position_id": 239, "txt": "中方将采取必要措施,坚决维护自身正当权益。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "多方表示反对和担忧", "language": "chinese", "position": {"atoms": [{"position_id": 241, "txt": "多方表示反对和担忧", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[21]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 24, "global_sentence_id": 41, "edu_l1_label": "BOS"}, {"txt": "目前,该临时最终规则尚未正式生效,美国商务部部长雷蒙多表示,各家企业将有为期120天的评论期,以便新一届特朗普政府能够考虑专家、业内人士和伙伴国家的意见。", "language": "chinese", "position": {"atoms": [{"position_id": 243, "txt": "目前,该临时最终规则尚未正式生效,美国商务部部长雷蒙多表示,各家企业将有为期120天的评论期,以便新一届特朗普政府能够考虑专家、业内人士和伙伴国家的意见。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 25, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "这是美国现任政府交棒前一周、特朗普即将就任之际,美国政府出台的史上最严厉的 AI 芯片管制,这也将是美国现任政府四年来对中国 AI、芯片等高科技领域管制的最后一份文件。", "language": "chinese", "position": {"atoms": [{"position_id": 245, "txt": "这是美国现任政府交棒前一周、特朗普即将就任之际,美国政府出台的史上最严厉的 AI 芯片管制,这也将是美国现任政府四年来对中国 AI、芯片等高科技领域管制的最后一份文件。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[23]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "美国《时代》杂志认为,美国现任政府急于在交棒之前出台这项出口管制措施,主要是因为AI技术的重要性不断显现,以及中国科创企业在AI模型开发方面取得了“令美国感到惊讶的成就”。", "language": "chinese", "position": {"atoms": [{"position_id": 247, "txt": "美国《时代》杂志认为,美国现任政府急于在交棒之前出台这项出口管制措施,主要是因为AI技术的重要性不断显现,以及中国科创企业在AI模型开发方面取得了“令美国感到惊讶的成就”。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 27, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "美国官员认为,“限制中国获得AI技术如今对美国国家安全至关重要”。", "language": "chinese", "position": {"atoms": [{"position_id": 248, "txt": "美国官员认为,“限制中国获得AI技术如今对美国国家安全至关重要”。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 27, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "新规发布后,英伟达立马表示反对。", "language": "chinese", "position": {"atoms": [{"position_id": 250, "txt": "新规发布后,英伟达立马表示反对。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "1月13日,英伟达政府事务副总裁Ned", "language": "chinese", "position": {"atoms": [{"position_id": 251, "txt": "1月13日,英伟达政府事务副总裁Ned", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": " Finkle发文表示,美国政府正试图通过其史无前例且具误导性的“AI扩散”规则,限制对主流计算应用的权限,这将威胁到全球创新和经济增长。", "language": "chinese", "position": {"atoms": [{"position_id": 252, "txt": " Finkle发文表示,美国政府正试图通过其史无前例且具误导性的“AI扩散”规则,限制对主流计算应用的权限,这将威胁到全球创新和经济增长。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "“这一广泛的越权行为将使官僚机构控制美国领先的半导体、计算机、系统甚至软件在全球范围内的设计和营销。", "language": "chinese", "position": {"atoms": [{"position_id": 253, "txt": "“这一广泛的越权行为将使官僚机构控制美国领先的半导体、计算机、系统甚至软件在全球范围内的设计和营销。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "通过试图操纵市场和扼杀竞争,切断创新的命脉,美国政府的新规将使美国失去来之不易的技术优势。”", "language": "chinese", "position": {"atoms": [{"position_id": 254, "txt": "通过试图操纵市场和扼杀竞争,切断创新的命脉,美国政府的新规将使美国失去来之不易的技术优势。”", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "Ned Finkle表示,“新规不仅无法缓解任何威胁,反而会削弱美国的全球竞争力,损害美国创新。”", "language": "chinese", "position": {"atoms": [{"position_id": 255, "txt": "Ned Finkle表示,“新规不仅无法缓解任何威胁,反而会削弱美国的全球竞争力,损害美国创新。”", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "甲骨文执行副总裁Ken Glueck早在上周就针对提前曝光的AI限令威胁称,这项规则更多的是监管过度,而不是保护美国及其合作伙伴和盟友的利益。", "language": "chinese", "position": {"atoms": [{"position_id": 257, "txt": "甲骨文执行副总裁Ken Glueck早在上周就针对提前曝光的AI限令威胁称,这项规则更多的是监管过度,而不是保护美国及其合作伙伴和盟友的利益。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "甲骨文官方也表示,这项新规可能成为美国科技行业历史上最具破坏性的政策之一,“直接将美国公司在全球的芯片市场缩小了80%”。", "language": "chinese", "position": {"atoms": [{"position_id": 258, "txt": "甲骨文官方也表示,这项新规可能成为美国科技行业历史上最具破坏性的政策之一,“直接将美国公司在全球的芯片市场缩小了80%”。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "美国半导体行业协会首席执行官John Neuffer回应称:", "language": "chinese", "position": {"atoms": [{"position_id": 260, "txt": "美国半导体行业协会首席执行官John Neuffer回应称:", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "“在美国现任政府卸任前几天,匆忙出台如此会带来大规模影响的政策,且没有得到行业的任何有意义的意见,我们对此深感失望。", "language": "chinese", "position": {"atoms": [{"position_id": 261, "txt": "“在美国现任政府卸任前几天,匆忙出台如此会带来大规模影响的政策,且没有得到行业的任何有意义的意见,我们对此深感失望。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "这将对美国经济和半导体以及AI的全球竞争力造成意想不到的持久损害。”", "language": "chinese", "position": {"atoms": [{"position_id": 262, "txt": "这将对美国经济和半导体以及AI的全球竞争力造成意想不到的持久损害。”", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "华盛顿专门研究中美经济和技术竞争的分析师Ray Wang也表示,该框架可能会削弱英伟达、 AMD等美国 AI 芯片公司的市场潜力。", "language": "chinese", "position": {"atoms": [{"position_id": 264, "txt": "华盛顿专门研究中美经济和技术竞争的分析师Ray Wang也表示,该框架可能会削弱英伟达、 AMD等美国 AI 芯片公司的市场潜力。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "同时,这也将推动中国加快开发自主 AI 芯片的力度。", "language": "chinese", "position": {"atoms": [{"position_id": 265, "txt": "同时,这也将推动中国加快开发自主 AI 芯片的力度。", "x": "/html/body/div/div[2]/div[2]/div[1]/div/article/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 58, "edu_l1_label": "IOS"}], "type": "WEB"}
# 美国正式公布史上最严AI芯片限制令! ## 三级区域划分 ## 六大关键机制 ## 中方回应 ## 多方表示反对和担忧
75011fe3-f49e-48e2-8b0f-583f65405184
web
test/raw_web_htmls/75011fe3-f49e-48e2-8b0f-583f65405184.html
https://mp.weixin.qq.com/s?__biz=MzI3NTkyMjA4NA==&mid=2247518250&idx=2&sn=ea32dfc9273b414cec63216d3469d3ba&scene=0
{"entry_id": "75011fe3-f49e-48e2-8b0f-583f65405184", "infos": [{"txt": "DeepSeek接入个人知识库,最新软件安装包发布!", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "DeepSeek接入个人知识库,最新软件安装包发布!", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": " DeepSeek接入个人知识库,最新软件安装包发布!", "language": "chinese", "position": {"atoms": [{"position_id": 219, "txt": "\n \nDeepSeek接入个人知识库,最新软件安装包发布!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "你好,我是郭震!", "language": "chinese", "position": {"atoms": [{"position_id": 221, "txt": "你好,我是郭震!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[1]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 2, "edu_l1_label": "BOS"}, {"txt": "这篇文章介绍DeepSeek接入个人知识库软件,想在本地个人电脑管理自己知识库的,可以看看。", 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41, "global_sentence_id": 5, "edu_l1_label": "IOS"}, {"txt": "自v0.5后,界面整体风格会基本维持不变,只做局部微调。", "language": "chinese", "position": {"atoms": [{"position_id": 227, "txt": "自v0.5后,界面整体风格会基本维持不变,只做局部微调。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[3]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 6, "edu_l1_label": "IOS"}, {"txt": "1 最新功能演示", "language": "chinese", "position": {"atoms": [{"position_id": 229, "txt": "1", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[4]/span/span[1]"}, {"position_id": 231, "txt": " 最新功能演示", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[4]/span/span[2]"}]}, "tags": [], "label": "title1", "web_segment_id": 42, "global_sentence_id": 7, "edu_l1_label": "BOS"}, {"txt": "1)增加了对个人知识库分类管理功能,全新操作界面如下,点击「新建」按钮新增一类知识库:", "language": "chinese", "position": {"atoms": [{"position_id": 233, "txt": "1)增加了对个人知识库分类管理功能,全新操作界面如下,点击「新建」按钮新增一类知识库:", 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"chinese", "position": {"atoms": [{"position_id": 244, "txt": "5)点击「保存为笔记」,为把笔记保存到本地,并在右侧显示:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[13]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/IHhHS3xElqy2wd1oi2NTleJ.webp", "language": "chinese", "position": {"atoms": [{"position_id": 95, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/IHhHS3xElqy2wd1oi2NTleJ.webp", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[14]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 52, "global_sentence_id": 18, "edu_l1_label": "EDU_O"}, {"txt": "5)大模型配置,操作界面如下,支持本地配置和API配置两种方式,如下为本地配置界面:", "language": "chinese", "position": {"atoms": [{"position_id": 246, "txt": "5)大模型配置,操作界面如下,支持本地配置和API配置两种方式,如下为本地配置界面:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[15]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2eyOBc3iEN95kZCcm3681YE.webp", "language": "chinese", "position": {"atoms": [{"position_id": 100, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2eyOBc3iEN95kZCcm3681YE.webp", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[16]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 54, "global_sentence_id": 20, "edu_l1_label": "EDU_O"}, {"txt": "以上是v0.5软件,主要功能操作演示、界面展示。", "language": "chinese", "position": {"atoms": [{"position_id": 248, "txt": "以上是v0.5软件,主要功能操作演示、界面展示。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[17]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 21, 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"chinese", "position": {"atoms": [{"position_id": 273, "txt": "软件全部功能,免费使用,不用花一分钱。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[24]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "3 软件安装", "language": "chinese", "position": {"atoms": [{"position_id": 275, "txt": "3", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[25]/span/span[1]"}, {"position_id": 277, "txt": " 软件安装", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[25]/span/span[2]"}]}, "tags": [], "label": "title1", "web_segment_id": 63, "global_sentence_id": 33, "edu_l1_label": "BOS"}, {"txt": "今天先发布Mac软件v0.5安装包,Windows电脑一键安装包制作目前卡在一个问题上,我们尽快解决后第一时间推文通知大家。", "language": "chinese", "position": {"atoms": [{"position_id": 279, "txt": "今天先发布Mac软件v0.5安装包,Windows电脑一键安装包制作目前卡在一个问题上,我们尽快解决后第一时间推文通知大家。", "x": 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"edu_l1_label": "IOS"}, {"txt": "下载后,mac电脑只需一键拖动,软件即安装在电脑:", "language": "chinese", "position": {"atoms": [{"position_id": 287, "txt": "下载后,mac电脑只需一键拖动,软件即安装在电脑:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[29]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 66, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1fKw7k4Ew0Ee3GXyWy2aU4Ik.webp", "language": "chinese", "position": {"atoms": [{"position_id": 148, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1fKw7k4Ew0Ee3GXyWy2aU4Ik.webp", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[30]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 67, "global_sentence_id": 38, "edu_l1_label": "EDU_O"}, {"txt": "然后只需要双击图标,即可进入软件界面:", "language": "chinese", "position": {"atoms": [{"position_id": 289, "txt": "然后只需要双击图标,即可进入软件界面:", "x": 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"edu_l1_label": "IOS"}, {"txt": "2)接下来将会重点升级知识库Agent,重点是RAG算法。", "language": "chinese", "position": {"atoms": [{"position_id": 304, "txt": "2)接下来将会", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[35]/span/span[1]"}, {"position_id": 306, "txt": "重点升级知识库Agent,重点是RAG算法", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[35]/span/span[2]"}, {"position_id": 308, "txt": "。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[35]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "从一开始我们就树立了一个目标,如何让RAG算法在保证检索准确的同时,让时间缩小到秒级。", "language": "chinese", "position": {"atoms": [{"position_id": 309, "txt": "从一开始我们就树立了一个目标,如何让RAG算法在保证检索准确的同时,让时间缩小到秒级。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[35]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "目前主流精准RAG全部依赖嵌入向量查询,但是本地普通电脑运行基本延时为2分钟以上。", "language": "chinese", "position": {"atoms": [{"position_id": 310, "txt": "目前主流精准RAG全部依赖嵌入向量查询,但是本地普通电脑运行基本延时为2分钟以上。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[35]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "如果能做到秒级,一天下来就能节省1-2小时。", "language": "chinese", "position": {"atoms": [{"position_id": 311, "txt": "如果能做到秒级,一天下来就能节省1-2小时。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[35]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "3)新开发大家反馈普遍需要的功能。", "language": "chinese", "position": {"atoms": [{"position_id": 313, "txt": "3)新开发大家反馈普遍需要的功能。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[36]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "网页接入;", "language": "chinese", "position": {"atoms": [{"position_id": 314, "txt": "网页接入;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[36]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "支持更多主流的各种文件格式导入。", "language": "chinese", "position": {"atoms": [{"position_id": 315, "txt": "支持更多主流的各种文件格式导入。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[36]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "制作软件不易,如果觉得这个软件对你有用,可否点个关注。", "language": "chinese", "position": {"atoms": [{"position_id": 317, "txt": "制作软件不易,如果觉得这个软件对你有用,可否点个关注。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section[37]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 74, "global_sentence_id": 53, 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"language": "chinese", "position": {"atoms": [{"position_id": 322, "txt": "\n 郭震AI ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "author", "web_segment_id": 92, "global_sentence_id": 57, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# DeepSeek接入个人知识库,最新软件安装包发布! ## 1 最新功能演示 ## 2 软件特色 ## 3 软件安装 ## 4 开发计划
57c9b91c-f7d5-4e43-b03b-4c2a4646f0b5
web
test/raw_web_htmls/57c9b91c-f7d5-4e43-b03b-4c2a4646f0b5.html
https://mp.weixin.qq.com/s?__biz=MzAwMTM4OTMxNw==&mid=2650911510&idx=1&sn=d7b9e70fa8b7964fb132e881b2dc76ad&scene=0
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"global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "引用参考文献格式:", "language": "chinese", "position": {"atoms": [{"position_id": 477, "txt": "引用参考文献格式:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section/section/section/section/p[2]/span/strong"}]}, "tags": ["strong"], "label": "reference", "web_segment_id": 40, "global_sentence_id": 3, "edu_l1_label": "EDU_O"}, {"txt": "魏钰明,贾开,曾润喜,等.", "language": "chinese", "position": {"atoms": [{"position_id": 479, "txt": "魏钰明,贾开,曾润喜,等.", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section/section/section/section/p[3]/span/span[1]"}]}, "tags": [], "label": "reference", "web_segment_id": 41, "global_sentence_id": 4, "edu_l1_label": "EDU_O"}, {"txt": " DeepSeek突破效应下的人工智能创新发展与治理变革[J].", "language": "chinese", "position": {"atoms": [{"position_id": 480, "txt": " DeepSeek突破效应下的人工智能创新发展与治理变革[J].", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section/section/section/section/p[3]/span/span[1]"}]}, "tags": [], "label": "reference", "web_segment_id": 41, "global_sentence_id": 5, "edu_l1_label": "EDU_O"}, {"txt": " 电子政务,2025(03):", "language": "chinese", "position": {"atoms": [{"position_id": 481, "txt": " 电子政务,2025(03):", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section/section/section/section/p[3]/span/span[1]"}]}, "tags": [], "label": "reference", "web_segment_id": 41, "global_sentence_id": 6, "edu_l1_label": "EDU_O"}, {"txt": " 2-39.", "language": "chinese", "position": {"atoms": [{"position_id": 482, "txt": " 2-39", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section/section/section/section/p[3]/span/span[1]"}, {"position_id": 484, "txt": ".", "x": 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[{"position_id": 616, "txt": "尽管大模型已在多个领域展示出强大的能力,但也容易因用力过猛造成附带伤害。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[26]/span"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "例如,大模型可能存在算法偏见,其训练数据中隐含的社会偏见也可能被系统性地放大,导致对特定群体的不公平对待。", "language": "chinese", "position": {"atoms": [{"position_id": 617, "txt": "例如,大模型可能存在算法偏见,其训练数据中隐含的社会偏见也可能被系统性地放大,导致对特定群体的不公平对待。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[26]/span"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "还可能因违规或过度收集和使用数据语料,影响国家安全,侵犯公民隐私。", "language": "chinese", "position": {"atoms": [{"position_id": 618, "txt": "还可能因违规或过度收集和使用数据语料,影响国家安全,侵犯公民隐私。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[26]/span"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": 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"/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[76]/span"}]}, "tags": [], "label": "content", "web_segment_id": 115, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": "在人工智能时代,算力资源不能仅仅被少数大企业或大型机构垄断。", "language": "chinese", "position": {"atoms": [{"position_id": 824, "txt": "在人工智能时代,算力资源不能仅仅被少数大企业或大型机构垄断。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[76]/span"}]}, "tags": [], "label": "content", "web_segment_id": 115, "global_sentence_id": 256, "edu_l1_label": "IOS"}, {"txt": "很多中小企业甚至公民个人,都需要拥有一定的算力资源使用机会,这有助于人工智能时代创业创新。", "language": "chinese", "position": {"atoms": [{"position_id": 825, "txt": "很多中小企业甚至公民个人,都需要拥有一定的算力资源使用机会,这有助于人工智能时代创业创新。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[76]/span"}]}, "tags": [], "label": "content", "web_segment_id": 115, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "从DeepSeek崛起事件看,突破性创新很有可能由跨行业中小企业实现。", "language": "chinese", "position": {"atoms": [{"position_id": 826, "txt": "从DeepSeek崛起事件看,突破性创新很有可能由跨行业中小企业实现。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[76]/span"}]}, "tags": [], "label": "content", "web_segment_id": 115, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "因此,要想提升中国人工智能的创新水平,就要完善公共算力资源共享使用法律机制。", "language": "chinese", "position": {"atoms": [{"position_id": 827, "txt": "因此,要想提升中国人工智能的创新水平,就要完善公共算力资源共享使用法律机制。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[76]/span"}]}, "tags": [], "label": "content", "web_segment_id": 115, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "国家应当像看待公共图书馆、公共教育一样看待公共算力资源,要通过立法为公共算力资源共享提供法律依据,并明确规定公共算力资源有偿使用和平价供给的范围和条件,明确各方权利义务,避免在全社会出现“算力鸿沟”,同时也为全社会利用公共算力资源进行创新创业提供便利。", "language": "chinese", "position": {"atoms": [{"position_id": 828, "txt": "国家应当像看待公共图书馆、公共教育一样看待公共算力资源,要通过立法为公共算力资源共享提供法律依据,并明确规定公共算力资源有偿使用和平价供给的范围和条件,明确各方权利义务,避免在全社会出现“算力鸿沟”,同时也为全社会利用公共算力资源进行创新创业提供便利。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[76]/span"}]}, "tags": 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"比如,我国各类专业期刊和报纸大多均为财政支持的公立机构主管主办,这些资源严格意义上都属于公共数据范畴,应当在满足一定条件的基础上向全社会开放,而不应成为少数企业获取高额利润的“独家资源”。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[80]/span"}]}, "tags": [], "label": "content", "web_segment_id": 119, "global_sentence_id": 273, "edu_l1_label": "IOS"}, {"txt": "第三,完善数据共享的激励机制。", "language": "chinese", "position": {"atoms": [{"position_id": 847, "txt": "第三,完善数据共享的激励机制。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[81]/span"}]}, "tags": [], "label": "content", "web_segment_id": 120, "global_sentence_id": 274, "edu_l1_label": "IOS"}, {"txt": "当前,海量数据掌握在数字经济企业手中,因此大型数字经济企业在发展人工智能技术方面拥有天然优势。", "language": "chinese", "position": {"atoms": [{"position_id": 848, "txt": "当前,海量数据掌握在数字经济企业手中,因此大型数字经济企业在发展人工智能技术方面拥有天然优势。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[81]/span"}]}, "tags": [], "label": "content", "web_segment_id": 120, "global_sentence_id": 275, "edu_l1_label": "IOS"}, {"txt": "但我们也要注意到,DeepSeek就不是传统大型数字经济企业发起的人工智能企业,这也是DeepSeek获得人工智能研发技术突破性进展的重要因素。", "language": "chinese", "position": {"atoms": [{"position_id": 849, "txt": "但我们也要注意到,DeepSeek就不是传统大型数字经济企业发起的人工智能企业,这也是DeepSeek获得人工智能研发技术突破性进展的重要因素。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[81]/span"}]}, "tags": [], "label": "content", "web_segment_id": 120, "global_sentence_id": 276, "edu_l1_label": "IOS"}, {"txt": "因此,促进本土人工智能技术的可持续发展,也要防止数字经济企业的数据垄断,要通过法治创新促使数字经济企业将其数据依法共享给人工智能专门技术企业。", "language": "chinese", "position": {"atoms": [{"position_id": 850, "txt": "因此,促进本土人工智能技术的可持续发展,也要防止数字经济企业的数据垄断,要通过法治创新促使数字经济企业将其数据依法共享给人工智能专门技术企业。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[81]/span"}]}, "tags": [], "label": "content", "web_segment_id": 120, "global_sentence_id": 277, "edu_l1_label": "IOS"}, {"txt": "同时,还有海量数据掌握在其他各类企业手中,这些企业单凭一己之力无力进行人工智能技术研发,但也应当鼓励其加入数据共享机制。", "language": "chinese", "position": {"atoms": [{"position_id": 851, "txt": "同时,还有海量数据掌握在其他各类企业手中,这些企业单凭一己之力无力进行人工智能技术研发,但也应当鼓励其加入数据共享机制。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[81]/span"}]}, "tags": [], "label": "content", "web_segment_id": 120, "global_sentence_id": 278, "edu_l1_label": "IOS"}, {"txt": "为此,就要完善数据共享的激励机制。", "language": "chinese", "position": {"atoms": [{"position_id": 852, "txt": "为此,就要完善数据共享的激励机制。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[81]/span"}]}, "tags": [], "label": "content", "web_segment_id": 120, "global_sentence_id": 279, "edu_l1_label": "IOS"}, {"txt": "当前,一些地方已经开展“数据换算力”的实践。", "language": "chinese", "position": {"atoms": [{"position_id": 853, "txt": "当前,一些地方已经开展“数据换算力”的实践。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[81]/span"}]}, "tags": [], "label": "content", "web_segment_id": 120, "global_sentence_id": 280, "edu_l1_label": "IOS"}, {"txt": "下一步,要在依法促进数据共享的激励机制方面下功夫,尤其是促进数字经济企业与人工智能技术企业进行数据共享、促进传统企业相关数据资源的电子化和共享化。", "language": "chinese", "position": {"atoms": [{"position_id": 854, "txt": "下一步,要在依法促进数据共享的激励机制方面下功夫,尤其是促进数字经济企业与人工智能技术企业进行数据共享、促进传统企业相关数据资源的电子化和共享化。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[81]/span"}]}, "tags": [], "label": "content", "web_segment_id": 120, "global_sentence_id": 281, "edu_l1_label": "IOS"}, {"txt": "总之,尽管DeepSeek的崛起意令人振奋,但我们也要清醒地看到中国本土人工智能技术发展仍面临算力瓶颈和数据瓶颈。", "language": "chinese", "position": {"atoms": [{"position_id": 856, "txt": "总之,尽管DeepSeek的崛起意令人振奋,但我们也要清醒地看到中国本土人工智能技术发展仍面临算力瓶颈和数据瓶颈。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[82]/span"}]}, "tags": [], "label": "content", "web_segment_id": 121, "global_sentence_id": 282, "edu_l1_label": "IOS"}, {"txt": "为此,根本之道是促进本土芯片产业等发展,但围绕算力资源和数据资源进行法治创新,通过法治创新提升现有算力资源和数据资源的使用效率,促进中国本土人工智能持续发展。", "language": "chinese", "position": {"atoms": [{"position_id": 857, "txt": "为此,根本之道是促进本土芯片产业等发展,但围绕算力资源和数据资源进行法治创新,通过法治创新提升现有算力资源和数据资源的使用效率,促进中国本土人工智能持续发展。", "x": 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"web_segment_id": 124, "global_sentence_id": 286, "edu_l1_label": "BOS"}, {"txt": "DeepSeek引发的治理思考", "language": "chinese", "position": {"atoms": [{"position_id": 864, "txt": "DeepSeek引发的治理思考", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[86]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 124, "global_sentence_id": 287, "edu_l1_label": "IOS"}, {"txt": "赵静 清华大学公共管理学院长聘副教授,博士生导师", "language": "chinese", "position": {"atoms": [{"position_id": 866, "txt": "赵静", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[87]/span[1]/strong/span"}, {"position_id": 868, "txt": " 清华大学公共管理学院长聘副教授,博士生导师", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[87]/span[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 125, "global_sentence_id": 288, "edu_l1_label": "IOS"}, {"txt": "作为一款新兴的大模型算法产品,DeepSeek开启了一场弯道超车式的效率革命,有可能重塑全球人工智能产业格局乃至打破大国间科技竞争态势。", "language": "chinese", "position": {"atoms": [{"position_id": 870, "txt": "作为一款新兴的大模型算法产品,DeepSeek开启了一场弯道超车式的效率革命,有可能重塑全球人工智能产业格局乃至打破大国间科技竞争态势。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[88]/span"}]}, "tags": [], "label": "content", "web_segment_id": 126, "global_sentence_id": 289, "edu_l1_label": "IOS"}, {"txt": "在全球科技与产业界热议这场多重技术路线选择与竞争所带来的惊艳突破时,来自治理界对技术治理复杂性、引致的算法社会影响,以及潜在治理思路的讨论也将相伴相生。", "language": "chinese", "position": {"atoms": [{"position_id": 871, "txt": "在全球科技与产业界热议这场多重技术路线选择与竞争所带来的惊艳突破时,来自治理界对技术治理复杂性、引致的算法社会影响,以及潜在治理思路的讨论也将相伴相生。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[88]/span"}]}, "tags": [], "label": "content", "web_segment_id": 126, "global_sentence_id": 290, "edu_l1_label": "IOS"}, {"txt": "然而,在尚未能充分认知和解决大模型时代的算法与数据治理问题的当下,深度推理可能表现出的新技术风险又进一步推动各国不得不开始面对“动荡中的治理”。", "language": "chinese", "position": {"atoms": [{"position_id": 872, "txt": "然而,在尚未能充分认知和解决大模型时代的算法与数据治理问题的当下,深度推理可能表现出的新技术风险又进一步推动各国不得不开始面对“动荡中的治理”。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[88]/span"}]}, "tags": [], "label": "content", "web_segment_id": 126, "global_sentence_id": 291, "edu_l1_label": "IOS"}, {"txt": "那么,DeepSeek如何增加了技术治理的复杂性,浮现什么样的新兴治理挑战与议题,我们该如何构建治理思路与策略以应对当前浮现的多维变化,是本文想讨论的主要问题。", "language": "chinese", "position": {"atoms": [{"position_id": 873, "txt": "那么,DeepSeek如何增加了技术治理的复杂性,浮现什么样的新兴治理挑战与议题,我们该如何构建治理思路与策略以应对当前浮现的多维变化,是本文想讨论的主要问题。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[88]/span"}]}, "tags": [], "label": "content", "web_segment_id": 126, "global_sentence_id": 292, "edu_l1_label": "IOS"}, {"txt": "一、技术治理的复杂性增加", "language": "chinese", "position": {"atoms": [{"position_id": 875, "txt": "一、技术治理的复杂性增加", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[89]/strong/span"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 127, "global_sentence_id": 293, "edu_l1_label": "IOS"}, {"txt": "DeepSeekR1的出现再次印证了技术路线选择的不确定性是人类进入科技产业高速发展中频繁面临的情况。", "language": "chinese", "position": {"atoms": [{"position_id": 877, "txt": "DeepSeekR1的出现再次印证了技术路线选择的不确定性是人类进入科技产业高速发展中频繁面临的情况。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[90]/span"}]}, "tags": [], "label": "content", "web_segment_id": 128, "global_sentence_id": 294, "edu_l1_label": "IOS"}, {"txt": "然而,DeepSeek冲击的不仅仅是AI产业技术路线和应用生态,其同样增添了当前人工智能技术治理的复杂性。", "language": "chinese", "position": {"atoms": [{"position_id": 878, "txt": "然而,DeepSeek冲击的不仅仅是AI产业技术路线和应用生态,其同样增添了当前人工智能技术治理的复杂性。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[90]/span"}]}, "tags": [], "label": "content", "web_segment_id": 128, "global_sentence_id": 295, "edu_l1_label": "IOS"}, {"txt": "自中、美、欧等国家或地区纷纷开启人工智能治理后,国际社会逐步认识到人工智能作为一类通用技术的全球风险,于2023年开启了人工智能国际治理新阶段[1-2]。", "language": "chinese", "position": {"atoms": [{"position_id": 879, "txt": "自中、美、欧等国家或地区纷纷开启人工智能治理后,国际社会逐步认识到人工智能作为一类通用技术的全球风险,于2023年开启了人工智能国际治理新阶段[1-2]。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[90]/span"}]}, "tags": [], "label": "content", "web_segment_id": 128, 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"如同互联网时代带来的影响一般,人类加速远离社会生活的趋势也增添了社会治理的挑战。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[96]/span"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 332, "edu_l1_label": "IOS"}, {"txt": "第三,经济系统的驱动转化。", "language": "chinese", "position": {"atoms": [{"position_id": 923, "txt": "第三,经济系统的驱动转化。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[97]/span"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 333, "edu_l1_label": "IOS"}, {"txt": "DeepSeek RI对人工智能产业格局的影响是巨大的,既挑战了闭源大模型的垄断地位,也催生了新的垂类模型生态,还令云算力和基础设施厂商受益于强大的开源与小成本所带来的用户流和算力需求。", "language": "chinese", "position": {"atoms": [{"position_id": 924, "txt": "DeepSeek RI对人工智能产业格局的影响是巨大的,既挑战了闭源大模型的垄断地位,也催生了新的垂类模型生态,还令云算力和基础设施厂商受益于强大的开源与小成本所带来的用户流和算力需求。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[97]/span"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 334, "edu_l1_label": "IOS"}, {"txt": 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{"txt": "DeepSeek对工业界的赋能进程是否得以加速?", "language": "chinese", "position": {"atoms": [{"position_id": 928, "txt": "DeepSeek对工业界的赋能进程是否得以加速?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[97]/span"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 338, "edu_l1_label": "IOS"}, {"txt": "人工智能对劳动力的替代和企业的赋能,是否能从根本上带来生产率的提升和经济系统的效率革命?", "language": "chinese", "position": {"atoms": [{"position_id": 929, "txt": "人工智能对劳动力的替代和企业的赋能,是否能从根本上带来生产率的提升和经济系统的效率革命?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[97]/span"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 339, "edu_l1_label": "IOS"}, {"txt": "此外,结构性失业是不可避免的且进程将会日益加速。", "language": "chinese", "position": {"atoms": [{"position_id": 930, "txt": "此外,结构性失业是不可避免的且进程将会日益加速。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[97]/span"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 340, "edu_l1_label": 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{"txt": "增强政策制定者对技术特点、发展与演化趋势的理解,以及监管部门与产业界之间的高效对话和互动是一类老生常谈的改革举措,却又被验证为一种直接而有效的治理机制。", "language": "chinese", "position": {"atoms": [{"position_id": 950, "txt": "增强政策制定者对技术特点、发展与演化趋势的理解,以及监管部门与产业界之间的高效对话和互动是一类老生常谈的改革举措,却又被验证为一种直接而有效的治理机制。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[102]/span"}]}, "tags": [], "label": "content", "web_segment_id": 140, "global_sentence_id": 355, "edu_l1_label": "IOS"}, {"txt": "我国监管部门在知识学习和治理实践方面都展现出惊人的学习与适应能力,被冠以“中国式敏捷官僚”之称,而监管部门与企业之间的高频互动也为多方共治构筑了一定的信任基础。", "language": "chinese", "position": {"atoms": [{"position_id": 951, "txt": "我国监管部门在知识学习和治理实践方面都展现出惊人的学习与适应能力,被冠以“中国式敏捷官僚”之称,而监管部门与企业之间的高频互动也为多方共治构筑了一定的信任基础。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[102]/span"}]}, "tags": [], "label": "content", "web_segment_id": 140, "global_sentence_id": 356, "edu_l1_label": "IOS"}, {"txt": "在未来,我们应进一步探索和追踪上海、杭州等地治理模式的特征与效果,注重治理经验的传播与学习。", "language": "chinese", "position": {"atoms": [{"position_id": 952, "txt": 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"延续公共物品的供给逻辑和治理思路,我们或许会在不确定性的环境中探索出一条新的治理道路。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[103]/span"}]}, "tags": [], "label": "content", "web_segment_id": 141, "global_sentence_id": 362, "edu_l1_label": "IOS"}, {"txt": "此外,在人工智能时代,无论智能体如何发展与迭代,我们对各学科基本理论的深入反思和更为细致的讨论都是必要且正当其时的。", "language": "chinese", "position": {"atoms": [{"position_id": 959, "txt": "此外,在人工智能时代,无论智能体如何发展与迭代,我们对各学科基本理论的深入反思和更为细致的讨论都是必要且正当其时的。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[103]/span"}]}, "tags": [], "label": "content", "web_segment_id": 141, "global_sentence_id": 363, "edu_l1_label": "IOS"}, {"txt": "▲▲▲▲▲▲", "language": "chinese", "position": {"atoms": [{"position_id": 961, "txt": "▲▲▲▲▲▲", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[104]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 142, "global_sentence_id": 364, "edu_l1_label": "EDU_O"}, {"txt": "▼▼▼▼▼▼", "language": "chinese", "position": {"atoms": [{"position_id": 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"global_sentence_id": 367, "edu_l1_label": "IOS"}, {"txt": "近段时间以来,人工智能领域正在出现诸多新变化,而这又尤以DeepSeek在全球引发的普遍关注为典型标志。", "language": "chinese", "position": {"atoms": [{"position_id": 971, "txt": "近段时间以来,人工智能领域正在出现诸多新变化,而这又尤以DeepSeek在全球引发的普遍关注为典型标志。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[109]/span"}]}, "tags": [], "label": "content", "web_segment_id": 146, "global_sentence_id": 368, "edu_l1_label": "IOS"}, {"txt": "DeepSeek以相对较小成本实现高性能大模型的发展创新,不仅证明了人工智能技术发展路径的多元性和动态性,更重要的是推动开源大模型发展实现了新的跃迁。", "language": "chinese", "position": {"atoms": [{"position_id": 972, "txt": "DeepSeek以相对较小成本实现高性能大模型的发展创新,不仅证明了人工智能技术发展路径的多元性和动态性,更重要的是推动开源大模型发展实现了新的跃迁。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[109]/span"}]}, "tags": [], "label": "content", "web_segment_id": 146, "global_sentence_id": 369, "edu_l1_label": "IOS"}, {"txt": "在DeepSeek之前,围绕人工智能是否应开源的争议日趋激烈,利益相关方在普遍关心开源能否促进人工智能发展的同时,也担心开源人工智能是否会导致风险的更快扩散并带来社会负外部性。", "language": "chinese", "position": {"atoms": [{"position_id": 973, "txt": "在DeepSeek之前,围绕人工智能是否应开源的争议日趋激烈,利益相关方在普遍关心开源能否促进人工智能发展的同时,也担心开源人工智能是否会导致风险的更快扩散并带来社会负外部性。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[109]/span"}]}, "tags": [], "label": "content", "web_segment_id": 146, "global_sentence_id": 370, "edu_l1_label": "IOS"}, {"txt": "在此背景下,DeepSeek是对开源大模型价值的强有力支持:", "language": "chinese", "position": {"atoms": [{"position_id": 974, "txt": "在此背景下,DeepSeek是对开源大模型价值的强有力支持:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[109]/span"}]}, "tags": [], "label": "content", "web_segment_id": 146, "global_sentence_id": 371, "edu_l1_label": "IOS"}, {"txt": "正是站在LLaMa、千问等开源大模型的基础上,DeepSeek通过更巧妙的工程设计挖掘了大模型的内在潜力,实现了性能上的超越。", "language": "chinese", "position": {"atoms": [{"position_id": 975, "txt": "正是站在LLaMa、千问等开源大模型的基础上,DeepSeek通过更巧妙的工程设计挖掘了大模型的内在潜力,实现了性能上的超越。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[109]/span"}]}, "tags": [], "label": "content", "web_segment_id": 146, "global_sentence_id": 372, "edu_l1_label": "IOS"}, {"txt": "但另一方面,如果开源需要真正成为大模型的主导性发展模式,不可回避的另一重要问题仍然是开源大模型风险治理的改革,即我们能否创新开源治理机制以回应大模型开源后所可能引发的风险担忧?", "language": "chinese", "position": {"atoms": [{"position_id": 976, "txt": "但另一方面,如果开源需要真正成为大模型的主导性发展模式,不可回避的另一重要问题仍然是开源大模型风险治理的改革,即我们能否创新开源治理机制以回应大模型开源后所可能引发的风险担忧?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[109]/span"}]}, "tags": [], "label": "content", "web_segment_id": 146, "global_sentence_id": 373, "edu_l1_label": "IOS"}, {"txt": "本文即试图围绕此展开,以DeepSeek为例来讨论未来开源大模型的风险治理改革与创新。", "language": "chinese", "position": {"atoms": [{"position_id": 977, "txt": "本文即试图围绕此展开,以DeepSeek为例来讨论未来开源大模型的风险治理改革与创新。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[109]/span"}]}, "tags": [], "label": "content", "web_segment_id": 146, "global_sentence_id": 374, "edu_l1_label": "IOS"}, {"txt": "一、DeepSeek开源模型风险:", "language": "chinese", "position": {"atoms": [{"position_id": 979, "txt": "一、DeepSeek开源模型风险:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[110]/strong/span"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 147, "global_sentence_id": 375, "edu_l1_label": "IOS"}, {"txt": "现有评估及无额外风险的结果", "language": "chinese", "position": {"atoms": [{"position_id": 980, "txt": "现有评估及无额外风险的结果", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[110]/strong/span"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 147, "global_sentence_id": 376, "edu_l1_label": "IOS"}, {"txt": "DeepSeek开源模型的发布同时也引发了海外对其安全风险的关注和讨论,众多海外国家和组织针对DeepSeek开源模型进行了针对国家安全、数据安全、版权风险和安全漏洞等方面的安全影响评估并提出了治理措施或建议。", "language": "chinese", "position": {"atoms": [{"position_id": 982, "txt": "DeepSeek开源模型的发布同时也引发了海外对其安全风险的关注和讨论,众多海外国家和组织针对DeepSeek开源模型进行了针对国家安全、数据安全、版权风险和安全漏洞等方面的安全影响评估并提出了治理措施或建议。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[111]/span"}]}, "tags": [], "label": "content", "web_segment_id": 148, "global_sentence_id": 377, "edu_l1_label": "IOS"}, {"txt": "例如,美国云安全平台Wiz Research发现DeepSeek关联数据库存在泄露大量后端数据、操作细节等敏感信息的风险,该团队立即向DeepSeek披露了此问题,并提出人工智能公司应实施与公共云提供商和主要基础设施提供商同等的安全措施。", "language": "chinese", "position": {"atoms": [{"position_id": 983, "txt": "例如,美国云安全平台Wiz Research发现DeepSeek关联数据库存在泄露大量后端数据、操作细节等敏感信息的风险,该团队立即向DeepSeek披露了此问题,并提出人工智能公司应实施与公共云提供商和主要基础设施提供商同等的安全措施。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[111]/span"}]}, "tags": [], "label": "content", "web_segment_id": 148, "global_sentence_id": 378, "edu_l1_label": "IOS"}, {"txt": "[1]人工智能安全平台Hiddenlayer对DeepSeek-R1的安全评测结论指出,该模型存在无法抵御简单越狱攻击、思想链(CoT)推理可能会导致信息泄露等安全漏洞,建议确保部署环境的可控性再使用该开源模型。", "language": "chinese", "position": {"atoms": [{"position_id": 984, "txt": "[1]人工智能安全平台Hiddenlayer对DeepSeek-R1的安全评测结论指出,该模型存在无法抵御简单越狱攻击、思想链(CoT)推理可能会导致信息泄露等安全漏洞,建议确保部署环境的可控性再使用该开源模型。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[111]/span"}]}, "tags": [], "label": "content", "web_segment_id": 148, "global_sentence_id": 379, "edu_l1_label": "IOS"}, {"txt": "[2]", "language": "chinese", "position": {"atoms": [{"position_id": 985, "txt": "[2]", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[111]/span"}]}, "tags": [], "label": "content", "web_segment_id": 148, "global_sentence_id": 380, "edu_l1_label": "IOS"}, {"txt": "从评估结果来看,DeepSeek开源模型的风险主要集中在数据安全和安全(safety)漏洞两个方面。", "language": "chinese", "position": {"atoms": [{"position_id": 987, "txt": "从评估结果来看,DeepSeek开源模型的风险主要集中在数据安全和安全(safety)漏洞两个方面。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[112]/span"}]}, "tags": [], "label": "content", "web_segment_id": 149, "global_sentence_id": 381, "edu_l1_label": "IOS"}, {"txt": "DeepSeek开源模型带来的数据安全风险主要表现为敏感数据的攻击泄露(关联数据库泄露DeepSeek内部敏感信息且攻击者易访问)以及思维链数据泄露(CoT推理引入中间步骤可能会无意泄露敏感信息、内部逻辑以及模型训练中使用的专有数据等)。", "language": "chinese", "position": {"atoms": [{"position_id": 988, "txt": "DeepSeek开源模型带来的数据安全风险主要表现为敏感数据的攻击泄露(关联数据库泄露DeepSeek内部敏感信息且攻击者易访问)以及思维链数据泄露(CoT推理引入中间步骤可能会无意泄露敏感信息、内部逻辑以及模型训练中使用的专有数据等)。", "x": 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"DeepSeek开源模型存在的安全漏洞风险则包含网络安全、内容安全、偏见与歧视、代码安全、CBRN(化学、生物、放射和核能)安全等方面。", "language": "chinese", "position": {"atoms": [{"position_id": 992, "txt": "DeepSeek开源模型存在的安全漏洞风险则包含网络安全、内容安全、偏见与歧视、代码安全、CBRN(化学、生物、放射和核能)安全等方面。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[113]/span"}]}, "tags": [], "label": "content", "web_segment_id": 150, "global_sentence_id": 385, "edu_l1_label": "IOS"}, {"txt": "整体来看,排除评价标准差异化因素的影响,各国评估并未发现DeepSeek开源模型及其应用会造成额外的风险。", "language": "chinese", "position": {"atoms": [{"position_id": 993, "txt": "整体来看,排除评价标准差异化因素的影响,各国评估并未发现DeepSeek开源模型及其应用会造成额外的风险。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[113]/span"}]}, "tags": [], "label": "content", "web_segment_id": 150, "global_sentence_id": 386, "edu_l1_label": "IOS"}, {"txt": "换言之,DeepSeek作为大模型技术并未带来相比于其他大模型有更多风险;", "language": "chinese", "position": {"atoms": [{"position_id": 994, "txt": "换言之,DeepSeek作为大模型技术并未带来相比于其他大模型有更多风险;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[113]/span"}]}, "tags": [], "label": "content", "web_segment_id": 150, "global_sentence_id": 387, "edu_l1_label": "IOS"}, {"txt": "但作为开源大模型,考虑到开源将降低使用门槛并让模型更加普及化,开源模型生态中的滥用误用情况则可能变多。", "language": "chinese", "position": {"atoms": [{"position_id": 995, "txt": "但作为开源大模型,考虑到开源将降低使用门槛并让模型更加普及化,开源模型生态中的滥用误用情况则可能变多。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[113]/span"}]}, "tags": [], "label": "content", "web_segment_id": 150, "global_sentence_id": 388, "edu_l1_label": "IOS"}, {"txt": "此时开源模型并非主要的风险源,总体安全风险反而将受到复杂的上下游任务链参与方以及基础设施、系统拦防和使用场景等多重因素影响,而这便要求风险治理机制的进一步完善与改革。", "language": "chinese", "position": {"atoms": [{"position_id": 996, "txt": "此时开源模型并非主要的风险源,总体安全风险反而将受到复杂的上下游任务链参与方以及基础设施、系统拦防和使用场景等多重因素影响,而这便要求风险治理机制的进一步完善与改革。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[113]/span"}]}, "tags": [], "label": "content", "web_segment_id": 150, "global_sentence_id": 389, "edu_l1_label": "IOS"}, {"txt": "二、建立基于增量风险的开源模型风险治理机制", "language": "chinese", "position": {"atoms": [{"position_id": 998, "txt": "二、建立基于增量风险的开源模型风险治理机制", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[114]/strong/span"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 151, "global_sentence_id": 390, "edu_l1_label": "IOS"}, {"txt": "开源模型带来了技术普及化和应用多样化,但价值与风险并存的特征对于如何判断开源模型的风险特点、采取何种平衡性的治理方案提出了挑战。", "language": "chinese", "position": {"atoms": [{"position_id": 1000, "txt": "开源模型带来了技术普及化和应用多样化,但价值与风险并存的特征对于如何判断开源模型的风险特点、采取何种平衡性的治理方案提出了挑战。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[115]/span"}]}, "tags": [], "label": "content", "web_segment_id": 152, "global_sentence_id": 391, "edu_l1_label": "IOS"}, {"txt": "目前对模型开源的风险有两类判定标准,并相应形成了两类治理思路。", "language": "chinese", "position": {"atoms": [{"position_id": 1001, "txt": "目前对模型开源的风险有两类判定标准,并相应形成了两类治理思路。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[115]/span"}]}, "tags": [], "label": "content", "web_segment_id": 152, "global_sentence_id": 392, "edu_l1_label": "IOS"}, {"txt": "一类考虑开源模型的“全量风险”,采取“全域管控+开源特别豁免”的平衡机制。", "language": "chinese", "position": {"atoms": [{"position_id": 1002, "txt": "一类考虑开源模型的“全量风险”,采取“全域管控+开源特别豁免”的平衡机制。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[115]/span"}]}, "tags": [], "label": "content", "web_segment_id": 152, "global_sentence_id": 393, "edu_l1_label": "IOS"}, {"txt": "“全量风险”机制以欧盟《人工智能法案》为代表,以事前风险防范为核心,在统一的综合性立法中通过分类分级方式识别开源模型所有可能存在的风险,包括纳入暂时没有实际证据支撑但未来可能出现的感知风险,当出现足够证明不具有需要单独管制必要性的证据时再予以事后排除。", "language": "chinese", "position": {"atoms": [{"position_id": 1003, "txt": "“全量风险”机制以欧盟《人工智能法案》为代表,以事前风险防范为核心,在统一的综合性立法中通过分类分级方式识别开源模型所有可能存在的风险,包括纳入暂时没有实际证据支撑但未来可能出现的感知风险,当出现足够证明不具有需要单独管制必要性的证据时再予以事后排除。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[115]/span"}]}, "tags": [], "label": "content", "web_segment_id": 152, "global_sentence_id": 394, "edu_l1_label": "IOS"}, {"txt": "而考虑到开源软件对于有效促进技术创新的价值,欧盟针对开源模型进行单独定义并设置复杂的“开源豁免+豁免例外”规则机制,将开源模型完全纳入法律规制之后再进行有限度的利益平衡。", "language": "chinese", "position": {"atoms": [{"position_id": 1004, "txt": "而考虑到开源软件对于有效促进技术创新的价值,欧盟针对开源模型进行单独定义并设置复杂的“开源豁免+豁免例外”规则机制,将开源模型完全纳入法律规制之后再进行有限度的利益平衡。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[115]/span"}]}, "tags": [], "label": "content", "web_segment_id": 152, "global_sentence_id": 395, "edu_l1_label": "IOS"}, {"txt": "[3]", "language": "chinese", "position": {"atoms": [{"position_id": 1005, "txt": "[3]", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[115]/span"}]}, "tags": [], "label": "content", "web_segment_id": 152, "global_sentence_id": 396, "edu_l1_label": "IOS"}, {"txt": "另一种治理思路是分析模型开源独有的“增量风险”,并采取有针对性的管控机制。", "language": "chinese", "position": {"atoms": [{"position_id": 1007, "txt": "另一种治理思路是分析模型开源独有的“增量风险”,并采取有针对性的管控机制。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[116]/span"}]}, "tags": [], "label": "content", "web_segment_id": 153, "global_sentence_id": 397, "edu_l1_label": "IOS"}, {"txt": "“增量风险”指与来自现有其他可比技术的风险相比,开源模型是否会产生新的独特风险,并因此要求被特殊监管。", "language": "chinese", "position": {"atoms": [{"position_id": 1008, "txt": "“增量风险”指与来自现有其他可比技术的风险相比,开源模型是否会产生新的独特风险,并因此要求被特殊监管。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[116]/span"}]}, "tags": [], "label": "content", "web_segment_id": 153, "global_sentence_id": 398, "edu_l1_label": "IOS"}, {"txt": "2024年7月底,美国国家电信和信息管理局(NTIA)发布报告,对于开源模型的“增量风险”的判断提供了与闭源模型、其他现有技术,以及与现有开源模型相比较的三个参考标准。", "language": "chinese", "position": {"atoms": [{"position_id": 1009, "txt": "2024年7月底,美国国家电信和信息管理局(NTIA)发布报告,对于开源模型的“增量风险”的判断提供了与闭源模型、其他现有技术,以及与现有开源模型相比较的三个参考标准。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[116]/span"}]}, "tags": [], "label": "content", "web_segment_id": 153, "global_sentence_id": 399, "edu_l1_label": "IOS"}, {"txt": "换言之,只要与这些参考标准相比没有出现新风险,即不属于被纳入监管范畴的增量风险。", "language": "chinese", "position": {"atoms": [{"position_id": 1010, "txt": "换言之,只要与这些参考标准相比没有出现新风险,即不属于被纳入监管范畴的增量风险。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[116]/span"}]}, "tags": [], "label": "content", "web_segment_id": 153, "global_sentence_id": 400, "edu_l1_label": "IOS"}, {"txt": "[4]值得注意的是,上述标准将对开源模型“增量风险”的判定设置了较高评估门槛,而对于需要监管介入的增量风险判断则强调证据支撑和科学审慎。", "language": "chinese", "position": {"atoms": [{"position_id": 1011, "txt": "[4]值得注意的是,上述标准将对开源模型“增量风险”的判定设置了较高评估门槛,而对于需要监管介入的增量风险判断则强调证据支撑和科学审慎。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[116]/span"}]}, "tags": [], "label": "content", "web_segment_id": 153, "global_sentence_id": 401, "edu_l1_label": "IOS"}, {"txt": "在广泛调研各类开闭源模型并征求各方意见的基础上,NTIA认为现有研究和证据无法完全满足上述三个风险评估标准,即开源模型没有需要额外进行单独管制的“增量风险”。", "language": "chinese", "position": {"atoms": [{"position_id": 1012, "txt": "在广泛调研各类开闭源模型并征求各方意见的基础上,NTIA认为现有研究和证据无法完全满足上述三个风险评估标准,即开源模型没有需要额外进行单独管制的“增量风险”。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[116]/span"}]}, "tags": [], "label": "content", "web_segment_id": 153, "global_sentence_id": 402, "edu_l1_label": "IOS"}, {"txt": "比较“全量风险”和“增量风险”两种机制不难发现,以“增量风险”为核心的开源风险治理整体倾向于事中事后的风险管控,可通过调整风险阈值来实现开源模型自由普惠和安全治理的利益平衡,而具有严谨证据支持的比较过程也能够排除认知风险的不合理影响。", "language": "chinese", "position": {"atoms": [{"position_id": 1014, "txt": "比较“全量风险”和“增量风险”两种机制不难发现,以“增量风险”为核心的开源风险治理整体倾向于事中事后的风险管控,可通过调整风险阈值来实现开源模型自由普惠和安全治理的利益平衡,而具有严谨证据支持的比较过程也能够排除认知风险的不合理影响。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[117]/span"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 403, "edu_l1_label": "IOS"}, {"txt": "正因如此,本文认为基于“增量风险”的开源模型治理机制更能精确匹配模型开源的技术应用特征,有利于建立对于开源模型风险的客观认知,能够避免基于对未知风险的恐慌而采用非理性的过度规制,从而防止对开源模型的价值发挥产生不当的阻碍效应。", "language": "chinese", "position": {"atoms": [{"position_id": 1015, "txt": "正因如此,本文认为基于“增量风险”的开源模型治理机制更能精确匹配模型开源的技术应用特征,有利于建立对于开源模型风险的客观认知,能够避免基于对未知风险的恐慌而采用非理性的过度规制,从而防止对开源模型的价值发挥产生不当的阻碍效应。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[117]/span"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 404, "edu_l1_label": "IOS"}, {"txt": "不过这并不代表“增量风险”管控机制就已能应对开源大模型风险治理的所有挑战,开源大模型所涉产业链条的复杂性使得“生态治理”可能是未来更需重视的改革理念和方向。", "language": "chinese", "position": {"atoms": [{"position_id": 1016, "txt": "不过这并不代表“增量风险”管控机制就已能应对开源大模型风险治理的所有挑战,开源大模型所涉产业链条的复杂性使得“生态治理”可能是未来更需重视的改革理念和方向。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[117]/span"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 405, "edu_l1_label": "IOS"}, {"txt": "三、构建大模型开源生态的协同治理体系", "language": "chinese", "position": {"atoms": [{"position_id": 1018, "txt": "三、构建大模型开源生态的协同治理体系", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[118]/strong/span"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 155, "global_sentence_id": 406, "edu_l1_label": "IOS"}, {"txt": "开源大模型的主要安全风险在于误用滥用,因此安全风险的治理应对必须要考虑模型开源后的利益相关方,从而引出了“生态治理”的改革理念。", "language": "chinese", "position": {"atoms": [{"position_id": 1020, "txt": "开源大模型的主要安全风险在于误用滥用,因此安全风险的治理应对必须要考虑模型开源后的利益相关方,从而引出了“生态治理”的改革理念。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[119]/span"}]}, "tags": [], "label": "content", "web_segment_id": 156, "global_sentence_id": 407, "edu_l1_label": "IOS"}, {"txt": "大模型开源生态具有产业链条多样化、参与主体多元化的特点,各方风险的控制能力以及针对误用滥用的防范责任有所差异。", "language": "chinese", "position": {"atoms": [{"position_id": 1021, "txt": "大模型开源生态具有产业链条多样化、参与主体多元化的特点,各方风险的控制能力以及针对误用滥用的防范责任有所差异。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[119]/span"}]}, "tags": [], "label": "content", "web_segment_id": 156, "global_sentence_id": 408, "edu_l1_label": "IOS"}, {"txt": "开源模型生态治理既不能完全放任,也不能仅将治理重心简单地聚焦于开源模型本身,而是要综合判断开源模型生态的结构对滥用误用风险的影响,采取合理的责任分担机制促进各方协同合作进行有效治理。", "language": "chinese", "position": {"atoms": [{"position_id": 1022, "txt": "开源模型生态治理既不能完全放任,也不能仅将治理重心简单地聚焦于开源模型本身,而是要综合判断开源模型生态的结构对滥用误用风险的影响,采取合理的责任分担机制促进各方协同合作进行有效治理。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[119]/span"}]}, "tags": [], "label": "content", "web_segment_id": 156, "global_sentence_id": 409, "edu_l1_label": "IOS"}, {"txt": "第一,应基于科学证据分析开源模型生态的风险扩散特征,根据开源模型生态链分工机制分析开源模型滥用误用风险的产生和传递过程,合理划定各类主体的责任边界。", "language": "chinese", "position": {"atoms": [{"position_id": 1024, "txt": "第一,应基于科学证据分析开源模型生态的风险扩散特征,根据开源模型生态链分工机制分析开源模型滥用误用风险的产生和传递过程,合理划定各类主体的责任边界。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[120]/span"}]}, "tags": [], "label": "content", "web_segment_id": 157, "global_sentence_id": 410, "edu_l1_label": "IOS"}, {"txt": "在近期发布的《双用途基础模型滥用风险管理指南(NIST AI 800-1)》中,美国NIST明确了开源模型的风险不能仅由模型研发方承担,模型应用生态中的直接参与方(包括云计算提供方、模型托管平台、下游模型使用部署及应用开发者、分发平台、三方评测审计方、用户公众等)以及间接参与方(学术机构、外部研究者和政府机构等)都需要根据自身角色承担相应的责任,通过多方合作协同的方式有效管控模型应用中的风险(参见US AISI官方发布:", "language": "chinese", "position": {"atoms": [{"position_id": 1025, "txt": "在近期发布的《双用途基础模型滥用风险管理指南(NIST AI 800-1)》中,美国NIST明确了开源模型的风险不能仅由模型研发方承担,模型应用生态中的直接参与方(包括云计算提供方、模型托管平台、下游模型使用部署及应用开发者、分发平台、三方评测审计方、用户公众等)以及间接参与方(学术机构、外部研究者和政府机构等)都需要根据自身角色承担相应的责任,通过多方合作协同的方式有效管控模型应用中的风险(参见US AISI官方发布:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[120]/span"}]}, "tags": [], "label": "content", "web_segment_id": 157, "global_sentence_id": 411, "edu_l1_label": "IOS"}, {"txt": "https://www.nist.gov/news-events/news/2025/01/updated-guidelines-managing-misuse-risk-dual-use-foundation-models)。", "language": "chinese", "position": {"atoms": [{"position_id": 1026, "txt": "https://www.nist.gov/news-events/news/2025/01/updated-guidelines-managing-misuse-risk-dual-use-foundation-models)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[120]/span"}]}, "tags": [], "label": "content", "web_segment_id": 157, "global_sentence_id": 412, "edu_l1_label": "IOS"}, {"txt": "第二,应提升开源模型生态的风险治理能力,建立对开源模型生态的国际信任。", "language": "chinese", "position": {"atoms": [{"position_id": 1028, "txt": "第二,应提升开源模型生态的风险治理能力,建立对开源模型生态的国际信任。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[121]/span"}]}, "tags": [], "label": "content", "web_segment_id": 158, "global_sentence_id": 413, "edu_l1_label": "IOS"}, {"txt": "目前,对于开源人工智能安全的认知还存在着碎片化的问题,各国针对DeepSeek开源模型的评估结果凸显了模型安全风险的认知存在差异、模型安全基准在全球范围内并未对齐、测试标准不统一以及评估基准不够客观和缺乏公信力的现实问题,相应的模型安全能力水平也不会对齐。", "language": "chinese", "position": {"atoms": [{"position_id": 1029, "txt": "目前,对于开源人工智能安全的认知还存在着碎片化的问题,各国针对DeepSeek开源模型的评估结果凸显了模型安全风险的认知存在差异、模型安全基准在全球范围内并未对齐、测试标准不统一以及评估基准不够客观和缺乏公信力的现实问题,相应的模型安全能力水平也不会对齐。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[121]/span"}]}, "tags": [], "label": "content", "web_segment_id": 158, "global_sentence_id": 414, "edu_l1_label": "IOS"}, {"txt": "在开源模型生态全球化发展的背景下,各国模型安全能力分布不均、资源不足的现状会对模型能力的普及和应用的拓展造成影响,引发对开源模型不当的限制。", "language": "chinese", "position": {"atoms": [{"position_id": 1030, "txt": "在开源模型生态全球化发展的背景下,各国模型安全能力分布不均、资源不足的现状会对模型能力的普及和应用的拓展造成影响,引发对开源模型不当的限制。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[121]/span"}]}, "tags": [], "label": "content", "web_segment_id": 158, "global_sentence_id": 415, "edu_l1_label": "IOS"}, {"txt": "对此需要进一步推动不同主体在共商共享过程中共同探索,促进关于模型安全能力和资源的增长和积累,从而提升个体及整体层面的安全水平。", "language": "chinese", "position": {"atoms": [{"position_id": 1031, "txt": "对此需要进一步推动不同主体在共商共享过程中共同探索,促进关于模型安全能力和资源的增长和积累,从而提升个体及整体层面的安全水平。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[121]/span"}]}, "tags": [], "label": "content", "web_segment_id": 158, "global_sentence_id": 416, "edu_l1_label": "IOS"}, {"txt": "第三,应坚持“人工智能安全作为公共产品”的基本理念,推动安全公共知识的积累和认知协同。", "language": "chinese", "position": {"atoms": [{"position_id": 1033, "txt": "第三,应坚持“人工智能安全作为公共产品”的基本理念,推动安全公共知识的积累和认知协同。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[122]/span"}]}, "tags": [], "label": "content", "web_segment_id": 159, "global_sentence_id": 417, "edu_l1_label": "IOS"}, {"txt": "可以进一步利用开源模型生态的透明度和包容性,将安全作为开源模型生态构建的重要目标,促进多方参与和共享的协同治理模式,通过鼓励开源推动各方主体参与到模型安全能力的共同建设中,支持开放透明的模型研发应用,推动开源社区与学术机构和公众用户进行共同监督,在降低信息不对称的同时,在专业知识、风险识别和监测、应急响应等方面加强安全能力建设,促进监管、产业和社会公众对安全的人工智能建立信任。", "language": "chinese", "position": {"atoms": [{"position_id": 1034, "txt": "可以进一步利用开源模型生态的透明度和包容性,将安全作为开源模型生态构建的重要目标,促进多方参与和共享的协同治理模式,通过鼓励开源推动各方主体参与到模型安全能力的共同建设中,支持开放透明的模型研发应用,推动开源社区与学术机构和公众用户进行共同监督,在降低信息不对称的同时,在专业知识、风险识别和监测、应急响应等方面加强安全能力建设,促进监管、产业和社会公众对安全的人工智能建立信任。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[122]/span"}]}, "tags": [], "label": "content", "web_segment_id": 159, "global_sentence_id": 418, "edu_l1_label": "IOS"}, {"txt": "▲▲▲▲▲▲", "language": "chinese", "position": {"atoms": [{"position_id": 1036, "txt": "▲▲▲▲▲▲", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[123]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 160, "global_sentence_id": 419, "edu_l1_label": "EDU_O"}, {"txt": "▼▼▼▼▼▼", "language": "chinese", "position": {"atoms": [{"position_id": 1038, "txt": "▼▼▼▼▼▼", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[125]/span"}]}, "tags": [], "label": "O", "web_segment_id": 161, "global_sentence_id": 420, "edu_l1_label": "EDU_O"}, {"txt": "DeepSeek:", "language": "chinese", "position": {"atoms": [{"position_id": 1040, "txt": "DeepSeek:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[126]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 162, "global_sentence_id": 421, "edu_l1_label": "BOS"}, {"txt": "非线性创新观与多技术路线探索", "language": "chinese", "position": {"atoms": [{"position_id": 1041, "txt": "非线性创新观与多技术路线探索", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[126]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 162, "global_sentence_id": 422, "edu_l1_label": "IOS"}, {"txt": "蒋余浩 华南理工大学公共政策研究院研究员,广东新质生产力政策研究中心主任", "language": "chinese", "position": {"atoms": [{"position_id": 1043, "txt": "蒋余浩", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[127]/span[1]/strong/span"}, {"position_id": 1045, "txt": " 华南理工大学公共政策研究院研究员,广东新质生产力政策研究中心主任", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[127]/span[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 163, "global_sentence_id": 423, "edu_l1_label": "EDU_O"}, {"txt": "中国人工智能企业深度求索(DeepSeek)在2025年新春前后相继发布开源权重模型DeepSeek-V3和DeepSeek-R1,以相对较小的训练成本、参数规模,实现了堪比GPT-4o、Claude 3.5 Sonnet、OpenAI o1等大模型的性能,在短时间内震惊全球。", "language": "chinese", "position": {"atoms": [{"position_id": 1047, "txt": "中国人工智能企业深度求索(DeepSeek)在2025年新春前后相继发布开源权重模型DeepSeek-V3和DeepSeek-R1,以相对较小的训练成本、参数规模,实现了堪比GPT-4o、Claude 3.5 Sonnet、OpenAI o1等大模型的性能,在短时间内震惊全球。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[128]/span"}]}, "tags": [], "label": "content", "web_segment_id": 164, "global_sentence_id": 424, "edu_l1_label": "IOS"}, {"txt": "据统计,到2025年2月中旬,DeepSeek-R1的活跃用户已达2000万。", "language": "chinese", "position": {"atoms": [{"position_id": 1048, "txt": "据统计,到2025年2月中旬,DeepSeek-R1的活跃用户已达2000万。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[128]/span"}]}, "tags": [], "label": "content", "web_segment_id": 164, "global_sentence_id": 425, "edu_l1_label": "IOS"}, {"txt": "关于DeepSeek-R1的技术层面问题,海内外专业人士已有许多评论,然而DeepSeek发展经验所展现的对于科技和产业政策领域的启发,却有待深入探讨。", "language": "chinese", "position": {"atoms": [{"position_id": 1049, "txt": "关于DeepSeek-R1的技术层面问题,海内外专业人士已有许多评论,然而DeepSeek发展经验所展现的对于科技和产业政策领域的启发,却有待深入探讨。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[128]/span"}]}, "tags": [], "label": "content", "web_segment_id": 164, "global_sentence_id": 426, "edu_l1_label": "IOS"}, {"txt": "本文拟以DeepSeek面对的争议为切入,揭示DeepSeek-R1等新产品显露的人工智能多技术路线探索的特征,进而分析科技和产业创新政策的着力方向。", "language": "chinese", "position": {"atoms": [{"position_id": 1050, "txt": "本文拟以DeepSeek面对的争议为切入,揭示DeepSeek-R1等新产品显露的人工智能多技术路线探索的特征,进而分析科技和产业创新政策的着力方向。", "x": 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"edu_l1_label": "IOS"}, {"txt": "结合材料工程的光纤以及异质结构的发明,使全球通信网络在物理基础设施和传输速度上成为可能;", "language": "chinese", "position": {"atoms": [{"position_id": 1095, "txt": "结合材料工程的光纤以及异质结构的发明,使全球通信网络在物理基础设施和传输速度上成为可能;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[138]/span"}]}, "tags": [], "label": "content", "web_segment_id": 174, "global_sentence_id": 462, "edu_l1_label": "IOS"}, {"txt": "旨在提高异质结导电性的材料研发工程,还意外带来了二维系统中分数量子化现象(fractional quantization)以及一种新形态的量子流体的科学发现。", "language": "chinese", "position": {"atoms": [{"position_id": 1096, "txt": "旨在提高异质结导电性的材料研发工程,还意外带来了二维系统中分数量子化现象(fractional quantization)以及一种新形态的量子流体的科学发现。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[138]/span"}]}, "tags": [], "label": "content", "web_segment_id": 174, "global_sentence_id": 463, "edu_l1_label": "IOS"}, {"txt": "[4]", "language": "chinese", "position": {"atoms": [{"position_id": 1097, "txt": "[4]", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[138]/span"}]}, 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"tags": ["strong"], "label": "title2", "web_segment_id": 177, "global_sentence_id": 481, "edu_l1_label": "IOS"}, {"txt": "从DeepSeek的实践经验能够获得启发:", "language": "chinese", "position": {"atoms": [{"position_id": 1119, "txt": "从DeepSeek的实践经验能够获得启发:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[142]/span"}]}, "tags": [], "label": "content", "web_segment_id": 178, "global_sentence_id": 482, "edu_l1_label": "IOS"}, {"txt": "切实激励人工智能多技术路线探索,是我们公共政策当前最需要着力的方向,以此才能真正满足多元丰富的经济社会发展需求。", "language": "chinese", "position": {"atoms": [{"position_id": 1120, "txt": "切实激励人工智能多技术路线探索,是我们公共政策当前最需要着力的方向,以此才能真正满足多元丰富的经济社会发展需求。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[142]/span"}]}, "tags": [], "label": "content", "web_segment_id": 178, "global_sentence_id": 483, "edu_l1_label": "IOS"}, {"txt": "从中央到地方近年的一些政策,显示了激励多技术路线探索的意图,其理论意义和实践意义值得持续挖掘。", "language": "chinese", "position": {"atoms": [{"position_id": 1122, "txt": "从中央到地方近年的一些政策,显示了激励多技术路线探索的意图,其理论意义和实践意义值得持续挖掘。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[143]/span"}]}, "tags": [], "label": "content", "web_segment_id": 179, "global_sentence_id": 484, "edu_l1_label": "IOS"}, {"txt": "例如,一方面,中国的人工智能发展战略显示了非线性创新观的理念,如国务院2017年7月印发的《新一代人工智能发展规划》,提出了围绕不同的应用需求而一体化配置研发、应用和产业培育力量;", "language": "chinese", "position": {"atoms": [{"position_id": 1123, "txt": "例如,一方面,中国的人工智能发展战略显示了非线性创新观的理念,如国务院2017年7月印发的《新一代人工智能发展规划》,提出了围绕不同的应用需求而一体化配置研发、应用和产业培育力量;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[143]/span"}]}, "tags": [], "label": "content", "web_segment_id": 179, "global_sentence_id": 485, "edu_l1_label": "IOS"}, {"txt": "另一方面,工业制造、建筑建材、农林牧渔等领域提出的政策主张,深刻表明了探索多技术路线发展的需求,如广东省工业和信息化厅2024年1月印发的《2023年全省工业和信息化发展情况及2024年主要工作计划》,住房和城乡建设部2024年2月通过的《“数字住建”建设整体布局规划》,农业农村部2024年10月出台的《农业农村部关于大力发展智慧农业的指导意见》,等等。", "language": "chinese", "position": {"atoms": [{"position_id": 1124, "txt": "另一方面,工业制造、建筑建材、农林牧渔等领域提出的政策主张,深刻表明了探索多技术路线发展的需求,如广东省工业和信息化厅2024年1月印发的《2023年全省工业和信息化发展情况及2024年主要工作计划》,住房和城乡建设部2024年2月通过的《“数字住建”建设整体布局规划》,农业农村部2024年10月出台的《农业农村部关于大力发展智慧农业的指导意见》,等等。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[143]/span"}]}, "tags": [], "label": "content", "web_segment_id": 179, "global_sentence_id": 486, "edu_l1_label": "IOS"}, {"txt": "DeepSeek在探索更低成本、更便于适用、更为开源的科技产品路径方面的经验,增强了以非线性创新观为指导、激励多技术路线探索的政策的现实可行性,这种政策可以成为发展嵌入不同行业的人工智能的保障。", "language": "chinese", "position": {"atoms": [{"position_id": 1126, "txt": "DeepSeek在探索更低成本、更便于适用、更为开源的科技产品路径方面的经验,增强了以非线性创新观为指导、激励多技术路线探索的政策的现实可行性,这种政策可以成为发展嵌入不同行业的人工智能的保障。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[144]/span"}]}, "tags": [], "label": "content", "web_segment_id": 180, "global_sentence_id": 487, "edu_l1_label": "IOS"}, {"txt": "进一步的配套性政策可以提供更多的支持:", "language": "chinese", "position": {"atoms": [{"position_id": 1127, "txt": "进一步的配套性政策可以提供更多的支持:", "x": 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"/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 200, "global_sentence_id": 493, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 魏钰明,等丨DeepSeek突破效应下的人工智能创新发展与治理变革(下) ## 从趁热接入到深度嵌入:DeepSeek本土开源大模型在数字政府建设中的应用展望与挑战分析 ### 一、DeepSeek的技术特性与我国数字政府建设需求的契合 #### (一)低成本实现 #### (二)本土化理解 #### (三)本地化部署 ### 二、“深度”赋能下的应用场景与治理变革展望 #### (一)服务交互方式重塑:从菜单式到对话式 #### (二)政务知识管理革新:从失传孤立到传承共享 #### (三)政府决策模式跃升:从切片式到立体化 ### 三、从趁热接入到深度“嵌入”:挑战与启示 ## DeepSeek加速治理智能化:形态跃升与挑战应对 ### 一、DeepSeek引致治理智能化加速的原因 ### 二、智能化加速助推治理形态跃升的路径 ### 三、治理智能化加速面临的挑战 ### 四、应对挑战的策略 ## 后DeepSeek时代中国本土人工智能发展需要更多法治创新 ### 一、中国本土人工智能的发展仍面临算力瓶颈和数据瓶颈 ### 二、化解本土人工智能发展瓶颈也需要法治创新 ### 三、通过完善算力共享法律机制化解算力瓶颈 ### 四、通过完善数据流动共享法律机制化解数据瓶颈 ## 动荡中的治理:DeepSeek引发的治理思考 ### 一、技术治理的复杂性增加 ### 二、浮现的新兴治理挑战与议题 ### 三、如何应对当期的多维变化 ## 开源大模型风险治理机制的改革与创新——以DeepSeek为例 ### 一、DeepSeek开源模型风险:现有评估及无额外风险的结果 ### 二、建立基于增量风险的开源模型风险治理机制 ### 三、构建大模型开源生态的协同治理体系 ## DeepSeek:非线性创新观与多技术路线探索 ### 一、后发优势的DeepSeek抑或更复杂的发展图景? #### (一)赶超战略下容纳多种具体策略,形成复杂的科技和产业发展景象 #### (二)后发优势理论无法为如何避免“追赶者陷阱”提供有效指引 ### 二、认识DeepSeek探索路径的理论视角:非线性创新观 ### 三、激励人工智能多技术路线探索的公共政策
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https://www.raspberrypi.com/news/diy-home-automation-with-raspberry-pi/
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# DIY home automation with Raspberry Pi ## Prepare your Raspberry Pi ## Write the Home Assistant image ## Initial setup ## Add integrations ## Customisation ## Next steps ## The Official Raspberry Pi Handbook 2025
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"language": "chinese", "position": {"atoms": [{"position_id": 277, "txt": "现货方面,文华财经数据显示,截至北京时间2月11日21:55,黄金T+D合约报680.74元/克,跌0.39%,此前跌幅一度超1%。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "值得注意的是,2月10日盘后,上海黄金交易所发布《关于做好近期市场风险控制工作的通知》称,近期影响市场运行的不确定性因素较多,贵金属价格持续大幅波动,市场风险加剧。", "language": "chinese", "position": {"atoms": [{"position_id": 279, "txt": "值得注意的是,2月10日盘后,上海黄金交易所发布《关于做好近期市场风险控制工作的通知》称,近期影响市场运行的不确定性因素较多,贵金属价格持续大幅波动,市场风险加剧。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "各会员单位要做好风险应急预案,维护市场平稳运行,提示投资者做好风险防范工作,合理控制仓位,理性投资。", "language": "chinese", "position": {"atoms": [{"position_id": 280, "txt": "各会员单位要做好风险应急预案,维护市场平稳运行,提示投资者做好风险防范工作,合理控制仓位,理性投资。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "后市或仍具上行动能", "language": "chinese", "position": {"atoms": [{"position_id": 282, "txt": "后市或仍具上行动能", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[41]/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 60, "global_sentence_id": 39, "edu_l1_label": "BOS"}, {"txt": "展望后市,国盛证券首席经济学家熊园认为,黄金价格中长期大概率延续上涨趋势,主要原因包括两方面:", "language": "chinese", "position": {"atoms": [{"position_id": 284, "txt": "展望后市,国盛证券首席经济学家熊园认为,黄金价格中长期大概率延续上涨趋势,主要原因包括两方面:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "其一,在地缘冲突升温和去美元化的大背景下,全球央行仍将持续购金,且潜在规模较大;", "language": "chinese", "position": {"atoms": [{"position_id": 285, "txt": "其一,在地缘冲突升温和去美元化的大背景下,全球央行仍将持续购金,且潜在规模较大;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "其二,目前美股等资产估值已达到历史高位,相比之下黄金估值并不高,有望吸引更多投资者增配。", "language": "chinese", "position": {"atoms": [{"position_id": 286, "txt": "其二,目前美股等资产估值已达到历史高位,相比之下黄金估值并不高,有望吸引更多投资者增配。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "兴业期货分析师张舒绮认为,由于全球不稳定因素持续增多,金价后续仍有持续上涨动能。", "language": "chinese", "position": {"atoms": [{"position_id": 288, "txt": "兴业期货分析师张舒绮认为,由于全球不稳定因素持续增多,金价后续仍有持续上涨动能。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[45]"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "张舒绮表示,黄金价格自1月份以来稳步上行,近期屡创历史新高,主要是受短期宏观经济因素和中长期避险需求因素驱动。", "language": "chinese", "position": {"atoms": [{"position_id": 290, "txt": "张舒绮表示,黄金价格自1月份以来稳步上行,近期屡创历史新高,主要是受短期宏观经济因素和中长期避险需求因素驱动。", "x": 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"此外,美国贸易政策变动和关税调整频繁,全球贸易格局不确定性增强,资金避险需求上升。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "另外,全球黄金ETF持续获得资金净流入,资产管理规模和持有量均创历史新高,显示黄金交易活跃。", "language": "chinese", "position": {"atoms": [{"position_id": 294, "txt": "另外,全球黄金ETF持续获得资金净流入,资产管理规模和持有量均创历史新高,显示黄金交易活跃。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "鉴于上述因素,建议对黄金维持多头策略思路,稳健投资者可布局买入黄金看涨期权,积极投资者可持有单边期货多头头寸。", "language": "chinese", "position": {"atoms": [{"position_id": 295, "txt": "鉴于上述因素,建议对黄金维持多头策略思路,稳健投资者可布局买入黄金看涨期权,积极投资者可持有单边期货多头头寸。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "不过,熊园同时表示,与2024年相比,当前黄金所面临的形势也存在两点显著差异:", 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{"txt": "因此,2025年黄金价格或难以复刻2024年的持续大涨行情,更有可能是反复震荡式的上涨,建议等待回调后的配置机会,短期内不宜追高。", "language": "chinese", "position": {"atoms": [{"position_id": 300, "txt": "因此,2025年黄金价格或难以复刻2024年的持续大涨行情,更有可能是反复震荡式的上涨,建议等待回调后的配置机会,短期内不宜追高。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[49]"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "来源:", "language": "chinese", "position": {"atoms": [{"position_id": 302, "txt": "来源:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/p[1]/span[1]"}]}, "tags": [], "label": "source", "web_segment_id": 65, "global_sentence_id": 54, "edu_l1_label": "EDU_O"}, {"txt": "央视新闻、湖北日报、黄金网、中国证券报", "language": "chinese", "position": {"atoms": [{"position_id": 304, "txt": "央视新闻、", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/p[1]/span[2]"}, {"position_id": 306, "txt": "湖北日报、", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/p[1]/span[2]/span"}, 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"tags": [], "label": "O", "web_segment_id": 91, "global_sentence_id": 69, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 金价,跌了! ## 国际现货黄金冲高后下跌 ## 这波大涨背后,关税是核心原因 ## 上金所连续两日出手 ## 后市或仍具上行动能
93dd288b-4437-4c82-97b7-4096259ec4e1
web
test/raw_web_htmls/93dd288b-4437-4c82-97b7-4096259ec4e1.html
https://mp.weixin.qq.com/s/dyA4VxhkM-EfLdP-Zoa4Jw
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"global_sentence_id": 68, "edu_l1_label": "EDU_O"}, {"txt": " 黑板洞察 ", "language": "chinese", "position": {"atoms": [{"position_id": 280, "txt": "\n 黑板洞察 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 89, "global_sentence_id": 69, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 全球教育的“隐形战场”:儿童心理危机如何成为政策焦点? ## 01 全球青少年心理健康告急,教育焦虑该如何破解? ## 02 儿童青少年心理与学习问题的多维成因分析 ## 03 多主体应对与政策实践的全球经验与本土探索 ## 04 未来展望:综合治理与系统创新的新方向
ca0db603-dd4d-4472-860d-641f2da43eb5
web
test/raw_web_htmls/ca0db603-dd4d-4472-860d-641f2da43eb5.html
https://www.36kr.com/p/3215231775214464
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[{"position_id": 363, "txt": "“擦边球”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/h2[1]/strong"}]}, "tags": ["strong", "h2"], "label": "title1", "web_segment_id": 10, "global_sentence_id": 14, "edu_l1_label": "BOS"}, {"txt": "《消费者报道》杂志日前送检13款宣称的零添加酱油产品,有12款被检出镉元素,千禾味业旗下产品赫然在列,昨日被推上百度热搜的首位。", "language": "chinese", "position": {"atoms": [{"position_id": 365, "txt": "《消费者报道》杂志日前送检13款宣称的零添加酱油产品,有12款被检出镉元素,千禾味业旗下产品赫然在列,昨日被推上百度热搜的首位。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 11, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "镉元素对人体有毒,半衰期长达30年,且存在可能诱发致癌等风险。", "language": "chinese", "position": {"atoms": [{"position_id": 367, "txt": "镉元素对人体有毒,半衰期长达30年,且存在可能诱发致癌等风险。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "这种危险物质,如何会进入到酱油中,诸多网友一时百思不得其解。", "language": "chinese", "position": {"atoms": [{"position_id": 368, "txt": "这种危险物质,如何会进入到酱油中,诸多网友一时百思不得其解。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "因为产品“零添加”的标签,千禾在这场风波中成为争议最大的品牌。", "language": "chinese", "position": {"atoms": [{"position_id": 370, "txt": "因为产品“零添加”的标签,千禾在这场风波中成为争议最大的品牌。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[8]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 12, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "昨日,千禾味业(603027.SH)开盘大跌,午后跌势凶猛,盘中跌幅最高达4%,收报于11.80元,跌幅3.67%。", "language": "chinese", "position": {"atoms": [{"position_id": 372, "txt": 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"其中,公司对“千禾0”30类方便食品商标煞费苦心。", "language": "chinese", "position": {"atoms": [{"position_id": 397, "txt": "其中,公司对“千禾0”30类方便食品商标煞费苦心。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "该商标于2023年8月提交注册申请,经历受理、驳回及复审,终于去年1月获得收文。", "language": "chinese", "position": {"atoms": [{"position_id": 398, "txt": "该商标于2023年8月提交注册申请,经历受理、驳回及复审,终于去年1月获得收文。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "天眼查显示,千禾还利用著作权“保护”零添加概念。", "language": "chinese", "position": {"atoms": [{"position_id": 400, "txt": "天眼查显示,千禾还利用著作权“保护”零添加概念。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "2024年6月17日,千禾零添加酱油280天、180天和380天产品包装设计图,同时完成美术作品著作权登记。", "language": "chinese", "position": {"atoms": [{"position_id": 401, "txt": "2024年6月17日,千禾零添加酱油280天、180天和380天产品包装设计图,同时完成美术作品著作权登记。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "酱油黑马失速", "language": "chinese", "position": {"atoms": [{"position_id": 403, "txt": "酱油黑马失速", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/h2[2]/strong"}]}, "tags": ["h2", "strong"], "label": "title1", "web_segment_id": 25, "global_sentence_id": 37, "edu_l1_label": "BOS"}, {"txt": "长期以来,海天味业、中炬高新(600872.SH)依托全国性渠道优势,跻身酱油市场头部阵营,中小调味品企业要么居于一隅,要么被收购。", "language": "chinese", "position": {"atoms": [{"position_id": 405, "txt": "长期以来,海天味业、中炬高新(600872.SH)依托全国性渠道优势,跻身酱油市场头部阵营,中小调味品企业要么居于一隅,要么被收购。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "直到千禾味业走出四川,通过零添加产品出圈,逐渐在市场有了一席之地。", "language": "chinese", "position": {"atoms": [{"position_id": 406, "txt": "直到千禾味业走出四川,通过零添加产品出圈,逐渐在市场有了一席之地。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "2022年,行业龙头海天味业(603288.SH)陷入“双标”风波,消费者对食品添加剂焦虑愈发加剧,“科技与狠活”成为当年下半年互联网上的热门,千禾味业接住了这一波流量,成为市场热宠。", "language": "chinese", "position": {"atoms": [{"position_id": 408, "txt": "2022年,行业龙头海天味业(603288.SH)陷入“双标”风波,消费者对食品添加剂焦虑愈发加剧,“科技与狠活”成为当年下半年互联网上的热门,", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[22]"}, {"position_id": 410, "txt": "千禾味业接住了这一波流量,成为市场热宠。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[22]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 27, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "2023年,公司交出自上市以来最好一张答卷,营业收入实现32.07亿元、归母净利润5.30亿元,同比分别增长31.62%和54.22%。", "language": "chinese", "position": {"atoms": [{"position_id": 412, "txt": "2023年,公司交出自上市以来最好一张答卷,营业收入实现32.07亿元、归母净利润5.30亿元,同比分别增长31.62%和54.22%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[23]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/40u0Wg2pKB8Rathkv2fjU4D.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 319, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/40u0Wg2pKB8Rathkv2fjU4D.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[24]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 29, "global_sentence_id": 42, "edu_l1_label": "EDU_O"}, {"txt": "早在这之前,千禾味业就已尝到增长的快感。", "language": "chinese", "position": {"atoms": [{"position_id": 414, "txt": "早在这之前,千禾味业就已尝到增长的快感。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "公司2016年登陆资本市场后,营业收入由当年的7.71亿元增至2022年24.36亿元,同期,归母净利润由1.00亿元增至3.44亿元。", "language": "chinese", "position": {"atoms": [{"position_id": 415, "txt": "公司2016年登陆资本市场后,营业收入由当年的7.71亿元增至2022年24.36亿元,同期,归母净利润由1.00亿元增至3.44亿元。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "在消费转型升级过程中,公司把握住调味品消费升级带来的机会,产品迎合用户对健康、安全以及高品质的需求。", "language": "chinese", "position": {"atoms": [{"position_id": 417, "txt": "在消费转型升级过程中,公司把握住调味品消费升级带来的机会,产品迎合用户对健康、安全以及高品质的需求。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "同时,海天味业在“双标”风波中形象受损、中炬高新内斗不止等,为千禾味业弯道超车创造了有利条件。", "language": "chinese", "position": {"atoms": [{"position_id": 418, "txt": "同时,海天味业在“双标”风波中形象受损、中炬高新内斗不止等,为千禾味业弯道超车创造了有利条件。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "不过,随着酱油存量时代到来,行业龙头及中小调味品企业相继推出了零添加产品,千禾多年苦心构建的零添加护城河,已不再具备优势。", "language": "chinese", "position": {"atoms": [{"position_id": 420, "txt": "不过,", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[27]"}, {"position_id": 422, "txt": "随着酱油存量时代到来,行业龙头及中小调味品企业相继推出了零添加产品", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[27]/strong"}, {"position_id": 424, "txt": ",千禾多年苦心构建的零添加护城河,已不再具备优势。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[27]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 32, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "公开数据显示,2023年中国酱油市场需求580万吨,同比增速仅为4.5%。", "language": "chinese", "position": {"atoms": [{"position_id": 426, "txt": "公开数据显示,2023年中国酱油市场需求580万吨,同比增速仅为4.5%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "各大厂商在酱油上频频动心思,推出了凉拌、减盐、儿童酱油等适合更多场景和人群的产品,以至于现在各种酱油产品挤满了卖场货架。", "language": "chinese", "position": {"atoms": [{"position_id": 427, "txt": "各大厂商在酱油上频频动心思,推出了凉拌、减盐、儿童酱油等适合更多场景和人群的产品,以至于现在各种酱油产品挤满了卖场货架。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "酱油一时难卖起来。", "language": "chinese", "position": {"atoms": [{"position_id": 429, "txt": "酱油一时难卖起来。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "海天酱油2023年酱油收入126.37亿元,同比下降8.83%。", "language": "chinese", "position": {"atoms": [{"position_id": 430, "txt": "海天酱油2023年酱油收入126.37亿元,同比下降8.83%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "在经过渠道调整、去库存等措施落地后,去年前三季度才恢复增长。", "language": "chinese", "position": {"atoms": [{"position_id": 431, "txt": "在经过渠道调整、去库存等措施落地后,去年前三季度才恢复增长。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "同期,中炬高新酱油收入22.99亿元,同比下降2.40%。", "language": "chinese", "position": {"atoms": [{"position_id": 432, "txt": "同期,中炬高新酱油收入22.99亿元,同比下降2.40%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "压力之下,千禾味业不得不将产品延伸到食醋、料酒等品类中。", "language": "chinese", "position": {"atoms": [{"position_id": 434, "txt": "压力之下,千禾味业不得不将产品延伸到食醋、料酒等品类中。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[30]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "不过,这些品类还难以减轻酱油主业的压力。", "language": "chinese", "position": {"atoms": [{"position_id": 435, "txt": "不过,这些品类还难以减轻酱油主业的压力。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[30]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "2024年前三季度,公司第二大产品食醋实现营业收入约2.87亿元,同比下降10.41%。", "language": "chinese", "position": {"atoms": [{"position_id": 437, "txt": "2024年前三季度,公司第二大产品食醋实现营业收入约2.87亿元,同比下降10.41%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[31]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "同期,酱油业务收入14.35亿元,同比下降2.44%。", "language": "chinese", "position": {"atoms": [{"position_id": 438, "txt": "同期,酱油业务收入14.35亿元,同比下降2.44%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[31]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "本文来自微信公众号“斑马消费”(ID:", "language": "chinese", "position": {"atoms": [{"position_id": 440, "txt": "本文来自微信公众号", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[32]"}, {"position_id": 442, "txt": "“斑马消费”(ID:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[32]/a"}]}, "tags": [], "label": "source", "web_segment_id": 37, "global_sentence_id": 58, "edu_l1_label": "EDU_O"}, {"txt": "banmaxiaofei),作者:", "language": "chinese", "position": {"atoms": [{"position_id": 443, "txt": "banmaxiaofei)", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[32]/a"}, {"position_id": 445, "txt": ",作者:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[32]/a"}]}, "tags": [], "label": "author", "web_segment_id": 37, "global_sentence_id": 59, "edu_l1_label": "EDU_O"}, {"txt": "沈庹,36氪经授权发布。", "language": "chinese", "position": {"atoms": [{"position_id": 446, "txt": "沈庹,36氪经授权发布。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[32]/a"}]}, "tags": [], "label": "author", "web_segment_id": 37, "global_sentence_id": 60, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# “千禾0”添加,千禾味业的文字游戏? ## “擦边球” ## 酱油黑马失速
42188293-963f-4b9b-8261-503776858a2b
web
test/raw_web_htmls/42188293-963f-4b9b-8261-503776858a2b.html
https://mp.weixin.qq.com/s?__biz=MzkwNjMwODY4Nw==&mid=2247545153&idx=1&sn=90609feac897f24984d1aea47d8e319c&scene=0
{"entry_id": "42188293-963f-4b9b-8261-503776858a2b", "infos": [{"txt": "Nature正刊|基于多源数据与GEE监测全球采矿对河流沉积的影响", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "Nature正刊|基于多源数据与GEE监测全球采矿对河流沉积的影响", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": " Nature正刊|基于多源数据与GEE监测全球采矿对河流沉积的影响 ", "language": "chinese", "position": {"atoms": [{"position_id": 241, "txt": "\n \nNature正刊|基于多源数据与GEE监测全球采矿对河流沉积的影响\n ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "01", "language": "chinese", "position": {"atoms": [{"position_id": 243, "txt": "01", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section/section/section[1]/p"}]}, "tags": [], "label": "title1", "web_segment_id": 39, "global_sentence_id": 2, "edu_l1_label": "BOS"}, {"txt": "论文标题", "language": "chinese", "position": {"atoms": [{"position_id": 245, "txt": "论文标题", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section/section/section[2]/p/span"}]}, "tags": [], "label": "title1", "web_segment_id": 40, "global_sentence_id": 3, "edu_l1_label": "IOS"}, {"txt": "Dethier E N, Silman M, Leiva J D, et al.", "language": "chinese", "position": {"atoms": [{"position_id": 247, "txt": "Dethier E N, Silman M, Leiva J D, et al.", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/section/section/section/p/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 4, "edu_l1_label": "IOS"}, {"txt": " A global rise in alluvial mining increases sediment load in tropical rivers[J].", "language": "chinese", "position": {"atoms": [{"position_id": 248, "txt": " A global rise in alluvial mining increases sediment load in tropical rivers[J].", "x": 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"chinese", "position": {"atoms": [{"position_id": 70, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1oOeGUft3u1j781a3Vt8df.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[1]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 42, "global_sentence_id": 8, "edu_l1_label": "EDU_O"}, {"txt": "02", "language": "chinese", "position": {"atoms": [{"position_id": 252, "txt": "02", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[3]/section/section/section/section[1]/section[1]/p/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 43, "global_sentence_id": 9, "edu_l1_label": "BOS"}, {"txt": "论文摘要", "language": "chinese", "position": {"atoms": [{"position_id": 254, "txt": "论文摘要", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[3]/section/section/section/section[1]/section[2]/p/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 44, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "随着全球热带地区黄金和矿物开采活动的增加,河流生态系统遭到破坏,人类健康也面临威胁。", "language": "chinese", "position": {"atoms": [{"position_id": 256, "txt": "随着全球热带地区黄金和矿物开采活动的增加,河流生态系统遭到破坏,人类健康也面临威胁。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "这类河流矿产开采涉及在河流走廊进行强度高的挖掘和沉积物处理,改变了河流形态并释放了过量的沉积物至下游。", "language": "chinese", "position": {"atoms": [{"position_id": 258, "txt": "这类河流矿产开采涉及在河流走廊进行强度高的挖掘和沉积物处理,改变了河流形态并释放了过量的沉积物至下游。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "增加的悬浮沉积物负荷可能降低水的清澈度,并导致淤积达到可能引发鱼类疾病和死亡,水质恶化以及对人类基础设施的破坏。", "language": "chinese", "position": {"atoms": [{"position_id": 260, "txt": "增加的悬浮沉积物负荷可能降低水的清澈度,并导致淤积达到可能引发鱼类疾病和死亡,水质恶化以及对人类基础设施的破坏。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "尽管已有研究探讨了局部尺度的河流开采,但至今尚无全球范围内对其物理影响和对水文系统的影响的综合分析,因此其全面的环境后果尚不明确。", "language": "chinese", "position": {"atoms": [{"position_id": 262, "txt": "尽管已有研究探讨了局部尺度的河流开采,但至今尚无全球范围内对其物理影响和对水文系统的影响的综合分析,因此其全面的环境后果尚不明确。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "我们汇集并分析了一个涵盖37年的卫星数据库,显示了全球范围内河流矿产开采的普遍增长。", "language": "chinese", "position": {"atoms": [{"position_id": 263, "txt": "我们汇集并分析了一个涵盖", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[2]"}, {"position_id": 265, "txt": "37年的卫星数据库", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[3]"}, {"position_id": 267, "txt": ",显示了全球范围内河流矿产开采的普遍增长。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[3]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "我们识别了49个国家中的396个矿区,这些矿区集中在热带水道,几乎所有这些水道的生态系统都受到矿业衍生沉积物的影响。", "language": "chinese", "position": {"atoms": [{"position_id": 268, "txt": "我们识别了", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[3]"}, {"position_id": 270, "txt": "49个国家中的396个矿区", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[4]"}, {"position_id": 272, "txt": ",这些矿区集中在热带水道,几乎所有这些水道的生态系统都受到矿业衍生沉积物的影响。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[4]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "在173条受矿业影响的河流中,80%的河流悬浮沉积物浓度(SSC)是采矿前水平的两倍以上。", "language": "chinese", "position": {"atoms": [{"position_id": 273, "txt": "在173条受矿业影响的河流中,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[4]"}, {"position_id": 275, "txt": "80%的河流悬浮沉积物浓度(SSC)是采矿前水平的两倍以上。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[5]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "在30个矿业影响大河流(宽度大于50米)的国家中,23±19%的大河流长度受到矿业衍生沉积物的影响,这一全球性影响涉及35,000公里的河流,占所有大热带河流段的6%(±1%标准误差)。", "language": "chinese", "position": {"atoms": [{"position_id": 277, "txt": "在30个矿业影响大河流(宽度大于50米)的国家中,23±19%的大河流长度受到矿业衍生沉积物的影响,这一全球性影响涉及35,000公里的河流,占所有大热带河流段的6%(±1%标准误差)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[5]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "研究结果突显了矿业活动引发的热带河流系统退化的普遍性和强度。", "language": "chinese", "position": {"atoms": [{"position_id": 279, "txt": "研究结果突显了矿业活动引发的热带河流系统退化的普遍性和强度。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/strong[6]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "03", "language": "chinese", "position": {"atoms": [{"position_id": 281, "txt": "03", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[5]/section/section/section/section[1]/section[1]/p"}]}, "tags": [], "label": "title1", "web_segment_id": 46, "global_sentence_id": 20, "edu_l1_label": "BOS"}, {"txt": "关键图表", "language": "chinese", "position": {"atoms": [{"position_id": 283, "txt": "关键图表", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[5]/section/section/section/section[1]/section[2]/p/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 47, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "<img https://mmbiz.qpic.cn/mmbiz_png/3YmaWSj9gtQsaaq3qC0LWfCdegdCXXsOpGOmibJ9XSxJGUh75rReDwGKJKa2V7wC10Icxlib8LVhvkV1jcz3eg6A/640?wx_fmt=png&from=appmsg", "language": "chinese", "position": {"atoms": [{"position_id": 111, "txt": "<img https://mmbiz.qpic.cn/mmbiz_png/3YmaWSj9gtQsaaq3qC0LWfCdegdCXXsOpGOmibJ9XSxJGUh75rReDwGKJKa2V7wC10Icxlib8LVhvkV1jcz3eg6A/640?wx_fmt=png&from=appmsg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 48, "global_sentence_id": 22, "edu_l1_label": "EDU_O"}, {"txt": "图 1. 全球河流矿产开采概览。", "language": "chinese", "position": {"atoms": [{"position_id": 285, "txt": "图 1. ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/strong[1]/span"}, {"position_id": 287, "txt": "全球河流矿产开采概览。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/strong[2]/span"}]}, "tags": ["strong"], "label": "figure_title", "web_segment_id": 49, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "a,图示了396个已识别的河流矿产开采区。", "language": "chinese", "position": {"atoms": [{"position_id": 289, "txt": "a,图示了396个已识别的河流矿产开采区。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "超过80%的矿区(334/396)位于赤道20°范围内。", "language": "chinese", "position": {"atoms": [{"position_id": 290, "txt": "超过80%的矿区(334/396)位于赤道20°范围内。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "b–e,Planet Labs卫星影像显示了在a中识别的矿区,位于秘鲁(b,id:", "language": "chinese", "position": {"atoms": [{"position_id": 291, "txt": "b–e,Planet Labs卫星影像显示了在a中识别的矿区,位于秘鲁(b,id:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "s0258_PER_gold)、加纳(c,id:", "language": "chinese", "position": {"atoms": [{"position_id": 292, "txt": "s0258_PER_gold)、加纳(c,id:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "s0112_GHA_gold)、刚果民主共和国(d,id:", "language": "chinese", "position": {"atoms": [{"position_id": 293, "txt": "s0112_GHA_gold)、刚果民主共和国(d,id:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "s0083_COD_gold)和缅甸(e,id:", "language": "chinese", "position": {"atoms": [{"position_id": 294, "txt": "s0083_COD_gold)和缅甸(e,id:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "s0242_MMR_gold)。", "language": "chinese", "position": {"atoms": [{"position_id": 295, "txt": "s0242_MMR_gold)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "这些地区的土地转变类似,从森林转变为充满水的采矿坑(图像 © 2022 Planet Labs PBC)。", "language": "chinese", "position": {"atoms": [{"position_id": 296, "txt": "这些地区的土地转变类似,从森林转变为充满水的采矿坑(图像 © 2022 Planet Labs PBC)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "d和e图中也可见河道采矿。", "language": "chinese", "position": {"atoms": [{"position_id": 297, "txt": "d和e图中也可见河道采矿。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "比例尺,1公里。", "language": "chinese", "position": {"atoms": [{"position_id": 298, "txt": "比例尺,1公里。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "f,按年度显示的河流矿产开采站点数量。", "language": "chinese", "position": {"atoms": [{"position_id": 299, "txt": "f,按年度显示的河流矿产开采站点数量。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "注意有两个y轴刻度,一个表示年度测量(黄色条形),另一个表示累积总数(黑线)。", "language": "chinese", "position": {"atoms": [{"position_id": 300, "txt": "注意有两个y轴刻度,一个表示年度测量(黄色条形),另一个表示累积总数(黑线)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "只有在少数情况下,能够获得有关采矿开始时间的信息,因此我们将这些站点归为单一类别。", "language": "chinese", "position": {"atoms": [{"position_id": 301, "txt": "只有在少数情况下,能够获得有关采矿开始时间的信息,因此我们将这些站点归为单一类别。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "g,h,近期废弃的矿坑照片,拍摄于秘鲁马德雷德迪奥斯的一个高强度开采区(id:", "language": "chinese", "position": {"atoms": [{"position_id": 302, "txt": "g,h,近期废弃的矿坑照片,拍摄于秘鲁马德雷德迪奥斯的一个高强度开采区(id:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "s0253_PER_gold)。", "language": "chinese", "position": {"atoms": [{"position_id": 303, "txt": "s0253_PER_gold)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "坑的直径约为50–500米。", "language": "chinese", "position": {"atoms": [{"position_id": 304, "txt": "坑的直径约为50–500米。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "图中的清理和开挖带宽约为1.25公里。", "language": "chinese", "position": {"atoms": [{"position_id": 305, "txt": "图中的清理和开挖带宽约为1.25公里。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "尽管基本的河流采矿方法和技术已存在多年,但60%的站点是在2000年后开始采矿的,46%的站点则是在2006年后开始采矿(n = 237和183,分别)。", "language": "chinese", "position": {"atoms": [{"position_id": 306, "txt": "尽管基本的河流采矿方法和技术已存在多年,但60%的站点是在2000年后开始采矿的,46%的站点则是在2006年后开始采矿(n = 237和183,分别)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "g和h中的照片由Jason Houston拍摄。", "language": "chinese", "position": {"atoms": [{"position_id": 307, "txt": "g和h中的照片由Jason Houston拍摄。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1jCXly2r2KRV4FG8Rt2Cwg1Z.png", "language": "chinese", "position": {"atoms": [{"position_id": 119, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1jCXly2r2KRV4FG8Rt2Cwg1Z.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[4]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 50, "global_sentence_id": 43, "edu_l1_label": "EDU_O"}, {"txt": "图 2. 河流在采矿开始后迅速反应。", "language": "chinese", "position": {"atoms": [{"position_id": 309, "txt": "图 2. ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong[1]/span"}, {"position_id": 311, "txt": "河流在采矿开始后迅速反应。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/strong[2]/span"}]}, "tags": ["strong"], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "河流的悬浮沉积物浓度(SSC)在采矿开始后的几年内增加。", "language": "chinese", "position": {"atoms": [{"position_id": 313, "txt": "河流的悬浮沉积物浓度(SSC)在采矿开始后的几年内增加。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "第0年为估计的采矿开始年份,负值表示采矿前的时期。", "language": "chinese", "position": {"atoms": [{"position_id": 314, "txt": "第0年为估计的采矿开始年份,负值表示采矿前的时期。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "a,所有研究中河流的汇总分析显示了全球信号。", "language": "chinese", "position": {"atoms": [{"position_id": 315, "txt": "a,所有研究中河流的汇总分析显示了全球信号。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "所有河流的悬浮沉积物浓度均比采矿前分布高出3个标准差,如所有月度测量值的插图直方图所示。", "language": "chinese", "position": {"atoms": [{"position_id": 316, "txt": "所有河流的悬浮沉积物浓度均比采矿前分布高出3个标准差,如所有月度测量值的插图直方图所示。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "b,按主要陆地划分的河流SSC对采矿的反应,灰线显示了每条河流的轨迹。", "language": "chinese", "position": {"atoms": [{"position_id": 317, "txt": "b,按主要陆地划分的河流SSC对采矿的反应,灰线显示了每条河流的轨迹。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "在每个图中,中位值由实线表示;", "language": "chinese", "position": {"atoms": [{"position_id": 318, "txt": "在每个图中,中位值由实线表示;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "四分位数范围以阴影表示。", "language": "chinese", "position": {"atoms": [{"position_id": 319, "txt": "四分位数范围以阴影表示。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "1984年之前即开始采矿的河流(Landsat 5任务开始前)不包括在此分析中(n = 44)。", "language": "chinese", "position": {"atoms": [{"position_id": 320, "txt": "1984年之前即开始采矿的河流(Landsat 5任务开始前)不包括在此分析中(n = 44)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "c,来自每个主要陆地的代表性河流的SSC时间序列,展示了参考期(灰色阴影、蓝色线条)期间SSC的自然波动以及采矿开始后SSC的迅速增加(黄色线条)。", "language": "chinese", "position": {"atoms": [{"position_id": 321, "txt": "c,来自每个主要陆地的代表性河流的SSC时间序列,展示了参考期(灰色阴影、蓝色线条)期间SSC的自然波动以及采矿开始后SSC的迅速增加(黄色线条)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "每个图中的采矿开始时间通过竖直黑线表示。", "language": "chinese", "position": {"atoms": [{"position_id": 322, "txt": "每个图中的采矿开始时间通过竖直黑线表示。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3uRkvgjFmda4xS51N2aWLbR.png", "language": "chinese", "position": {"atoms": [{"position_id": 130, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3uRkvgjFmda4xS51N2aWLbR.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[6]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 52, "global_sentence_id": 55, "edu_l1_label": "EDU_O"}, {"txt": "图3.", "language": "chinese", "position": {"atoms": [{"position_id": 324, "txt": "图3.", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/strong[1]/span"}]}, "tags": ["strong"], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": " 受河流矿产开采影响的河流长度。", "language": "chinese", "position": {"atoms": [{"position_id": 325, "txt": " ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/strong[1]/span"}, {"position_id": 327, "txt": "受河流矿产开采影响的河流长度。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/strong[2]/span"}]}, "tags": ["strong"], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "显示受河流矿产开采影响的河流公里数的年度时间序列,分别按全球(a)和主要陆地(b)表示。", "language": "chinese", "position": {"atoms": [{"position_id": 329, "txt": "显示受河流矿产开采影响的河流公里数的年度时间序列,分别按全球(a)和主要陆地(b)表示。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "值的计算方式是,SSC高于参考均值(棕色线)和SSC高于参考分布3个标准差(黄色线)的河流公里数。", "language": "chinese", "position": {"atoms": [{"position_id": 330, "txt": "值的计算方式是,SSC高于参考均值(棕色线)和SSC高于参考分布3个标准差(黄色线)的河流公里数。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "c,受矿业影响的河流的采矿前(参考,青色符号)和采矿后(黄色符号)SSC Z-score概况,展示了特定河流(>500公里)在标准差方面偏离采矿前分布的情况。", "language": "chinese", "position": {"atoms": [{"position_id": 331, "txt": "c,受矿业影响的河流的采矿前(参考,青色符号)和采矿后(黄色符号)SSC Z-score概况,展示了特定河流(>500公里)在标准差方面偏离采矿前分布的情况。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "受矿业影响的河流大多数情况下会在下游恢复到参考水平,但这种恢复并非普遍存在,且通常不会在数百公里内发生。", "language": "chinese", "position": {"atoms": [{"position_id": 332, "txt": "受矿业影响的河流大多数情况下会在下游恢复到参考水平,但这种恢复并非普遍存在,且通常不会在数百公里内发生。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "误差条表示估算的标准误差,这是指定期间50公里的均值。", "language": "chinese", "position": {"atoms": [{"position_id": 333, "txt": "误差条表示估算的标准误差,这是指定期间50公里的均值。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "绘制的参考值沿河流变化,因为Z-score计算的参考分布是通过整个剖面计算的,以确保与没有采矿前参考期的河流一致。", "language": "chinese", "position": {"atoms": [{"position_id": 334, "txt": "绘制的参考值沿河流变化,因为Z-score计算的参考分布是通过整个剖面计算的,以确保与没有采矿前参考期的河流一致。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 53, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1gM5Wl2X3Bio13tTiw1IEonr.png", "language": "chinese", "position": {"atoms": [{"position_id": 140, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1gM5Wl2X3Bio13tTiw1IEonr.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 54, "global_sentence_id": 64, "edu_l1_label": "EDU_O"}, {"txt": "图 4. 各国受采矿影响的河流总长度的比例。", "language": "chinese", "position": {"atoms": [{"position_id": 336, "txt": "图 4. ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[1]/span"}, {"position_id": 338, "txt": "各国受采矿影响的河流总长度的比例", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/strong[2]/span"}, {"position_id": 340, "txt": "。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": ["strong"], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 65, "edu_l1_label": "EDU_O"}, {"txt": "a,每个白色条形代表大河流长度(宽度>50米),橙色阴影表示受采矿影响的河流长度。", "language": "chinese", "position": {"atoms": [{"position_id": 341, "txt": "a,每个白色条形代表大河流长度(宽度>50米),橙色阴影表示受采矿影响的河流长度。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 66, "edu_l1_label": "EDU_O"}, {"txt": "在这些国家中,采矿衍生的沉积物平均改变了23% ± 19%标准差的大河流长度。", "language": "chinese", "position": {"atoms": [{"position_id": 342, "txt": "在这些国家中,采矿衍生的沉积物平均改变了23% ± 19%标准差的大河流长度。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 67, "edu_l1_label": "EDU_O"}, {"txt": "请注意,除巴西外,所有国家都使用相同的刻度,巴西由于亚马逊流域的规模较大,使用了不同的刻度。", "language": "chinese", "position": {"atoms": [{"position_id": 343, "txt": "请注意,除巴西外,所有国家都使用相同的刻度,巴西由于亚马逊流域的规模较大,使用了不同的刻度。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 68, "edu_l1_label": "EDU_O"}, {"txt": "b–f,五个河流矿产开采地区的受矿业影响的河流示例。", "language": "chinese", "position": {"atoms": [{"position_id": 344, "txt": "b–f,五个河流矿产开采地区的受矿业影响的河流示例。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 69, "edu_l1_label": "EDU_O"}, {"txt": "采矿衍生的沉积物改变了河流的颜色,使其在卫星图像中呈现棕色、橙色或黄色。", "language": "chinese", "position": {"atoms": [{"position_id": 345, "txt": "采矿衍生的沉积物改变了河流的颜色,使其在卫星图像中呈现棕色、橙色或黄色。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 70, "edu_l1_label": "EDU_O"}, {"txt": "b和e中的深色河流表明这些地区的河流在上游开采较少的情况下的外观。", "language": "chinese", "position": {"atoms": [{"position_id": 346, "txt": "b和e中的深色河流表明这些地区的河流在上游开采较少的情况下的外观。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 71, "edu_l1_label": "EDU_O"}, {"txt": "每张卫星图像中标出了河流截面代码。", "language": "chinese", "position": {"atoms": [{"position_id": 347, "txt": "每张卫星图像中标出了河流截面代码。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 72, "edu_l1_label": "EDU_O"}, {"txt": "b–f中的卫星图像经过修改,来自Copernicus Sentinel数据(2022)。", "language": "chinese", "position": {"atoms": [{"position_id": 348, "txt": "b–f中的卫星图像经过修改,来自Copernicus Sentinel数据(2022)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 73, "edu_l1_label": "EDU_O"}, {"txt": "比例尺,3公里(b,e),4公里(c),5公里(d,f)。", "language": "chinese", "position": {"atoms": [{"position_id": 349, "txt": "比例尺,3公里(b,e),4公里(c),5公里(d,f)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 74, "edu_l1_label": "EDU_O"}, {"txt": "04", "language": "chinese", "position": {"atoms": [{"position_id": 351, "txt": "04", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[9]/section/section/section/section[1]/section[1]/p"}]}, "tags": [], "label": "title1", "web_segment_id": 56, "global_sentence_id": 75, "edu_l1_label": "BOS"}, {"txt": "数据代码可用性", "language": "chinese", "position": {"atoms": [{"position_id": 353, "txt": "数据代码可用性", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[9]/section/section/section/section[1]/section[2]/p/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 57, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "1.数据可用性:", "language": "chinese", "position": {"atoms": [{"position_id": 355, "txt": "1.数据可用性:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[10]/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 58, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "可用的数据包括所有矿区位置和河流剖面的KML文件,以及遥感数据。", "language": "chinese", "position": {"atoms": [{"position_id": 357, "txt": "可用的数据包括所有矿区位置和河流剖面的KML文件,以及遥感数据。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[11]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "所有数据都存档于 https://zenodo.org/record/7699122#.ZE9Hey-B3RY。", "language": "chinese", "position": {"atoms": [{"position_id": 358, "txt": "所有数据都存档于 https://zenodo.org/record/7699122#.ZE9Hey-B3RY。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[11]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "2.代码可用性:", "language": "chinese", "position": {"atoms": [{"position_id": 360, "txt": "2.代码可用性:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[12]/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 60, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "本研究中访问未处理数据并重现我们结果所需的所有代码可在以下网址获取:", "language": "chinese", "position": {"atoms": [{"position_id": 362, "txt": "本研究中访问未处理数据并重现我们结果所需的", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[13]"}, {"position_id": 364, "txt": "所有代码", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[13]/strong"}, {"position_id": 366, "txt": "可在以下网址获取:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[13]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 61, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "https://zenodo.org/record/7699122#.ZE9Hey-B3RY 和 https://github.com/evandethier/global-alluvial-mining。", "language": "chinese", "position": {"atoms": [{"position_id": 367, "txt": "https://zenodo.org/record/7699122#.ZE9Hey-B3RY 和 https://github.com/evandethier/global-alluvial-mining。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[13]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 61, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "05", "language": "chinese", "position": {"atoms": [{"position_id": 369, "txt": "05", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[14]/section/section/section/section[1]/section[1]/p"}]}, "tags": [], "label": "title1", "web_segment_id": 62, "global_sentence_id": 83, "edu_l1_label": "EDU_O"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/ph7Bd459wlSfVZ28XyUdg.png", "language": "chinese", "position": {"atoms": [{"position_id": 185, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/ph7Bd459wlSfVZ28XyUdg.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/section/section/section[1]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 63, "global_sentence_id": 84, "edu_l1_label": "EDU_O"}, {"txt": "1. Nature正刊|哥伦比亚大学利用GEE实现对全球洪涝灾害的实时监测", "language": "chinese", "position": {"atoms": [{"position_id": 371, "txt": "1. ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/section/section/section[2]/section/p[1]/span"}, {"position_id": 373, "txt": "Nature正刊|哥伦比亚大学利用GEE实现对全球洪涝灾害的实时监测", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/section/section/section[2]/section/p[1]/span/a"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 85, "edu_l1_label": "EDU_O"}, {"txt": "2. GEE前沿论文|Nature子刊利用GEE实现对新城郊森林应对气候变化潜力的全球空间评估", "language": "chinese", "position": {"atoms": [{"position_id": 375, "txt": "2. ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/section/section/section[2]/section/p[2]/span"}, {"position_id": 377, "txt": "GEE前沿论文|Nature子刊利用GEE实现对新城郊森林应对气候变化潜力的全球空间评估", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/section/section/section[2]/section/p[2]/span/a"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 86, "edu_l1_label": "EDU_O"}, {"txt": "3. GEE前沿论文|利用GEE进行红树林覆盖变化与碳储量监测", "language": "chinese", "position": {"atoms": [{"position_id": 379, "txt": "3. ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/section/section/section[2]/section/p[3]/span"}, {"position_id": 381, "txt": "GEE前沿论文|利用GEE进行红树林覆盖变化与碳储量监测", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[15]/section/section/section[2]/section/p[3]/span/a"}]}, "tags": [], "label": "content", "web_segment_id": 66, "global_sentence_id": 87, "edu_l1_label": "EDU_O"}, {"txt": " GEE遥感训练营 ", "language": "chinese", "position": {"atoms": [{"position_id": 383, "txt": "\n GEE遥感训练营 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 84, "global_sentence_id": 88, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# Nature正刊|基于多源数据与GEE监测全球采矿对河流沉积的影响 ## 01论文标题 ## 02论文摘要 ## 03关键图表 ## 04数据代码可用性 ### 1.数据可用性: ### 2.代码可用性:
772d2f9f-810d-47af-ac58-06788cca8788
web
test/raw_web_htmls/772d2f9f-810d-47af-ac58-06788cca8788.html
https://mp.weixin.qq.com/s?__biz=MjM5MTk4NDgyMA==&mid=2655649569&idx=2&sn=acab316f18b132f4909ebeb4c61df456&scene=0
{"entry_id": "772d2f9f-810d-47af-ac58-06788cca8788", "infos": [{"txt": "IPTV / DVB增值服务动态大搜罗(3月1日-3月7日)", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "IPTV / DVB增值服务动态大搜罗(3月1日-3月7日)", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": " IPTV / DVB增值服务动态大搜罗(3月1日-3月7日)", "language": "chinese", "position": {"atoms": [{"position_id": 350, "txt": "\n \nIPTV / DVB增值服务动态大搜罗(3月1日-3月7日)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "湖北移动IPTV:", "language": "chinese", "position": {"atoms": [{"position_id": 352, "txt": "湖北移动IPTV:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section[1]/section/section/section/section[1]/section/section/section/section/section[1]/section/section[1]/section/section/section/section/strong/span/span/span/span/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 39, "global_sentence_id": 2, "edu_l1_label": "BOS"}, {"txt": "爱家少儿周边福利大派送", "language": "chinese", "position": {"atoms": [{"position_id": 353, "txt": "爱家少儿周边福利大派送", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section[1]/section/section/section/section[1]/section/section/section/section/section[1]/section/section[1]/section/section/section/section/strong/span/span/span/span/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 39, "global_sentence_id": 3, "edu_l1_label": "IOS"}, {"txt": "2 月 28 日— 3 月 31 日,湖北移动高清电视举办哪吒敖丙周边福利大派送活动。", "language": "chinese", "position": {"atoms": [{"position_id": 355, "txt": "2 月 28 日— 3 月 31 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"/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section[1]/section/section/section/section[1]/section/section/section/section/section[1]/section/section[4]/span"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/akUrj4lAm1E1nPj0c3tAUwE.png", "language": "chinese", "position": {"atoms": [{"position_id": 88, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/akUrj4lAm1E1nPj0c3tAUwE.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/section/section/section[1]/section/section/section/section[1]/section/section/section/section/section[1]/section/p[1]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 43, "global_sentence_id": 9, "edu_l1_label": "EDU_O"}, {"txt": "广西IPTV:", "language": "chinese", "position": {"atoms": [{"position_id": 363, "txt": "广西IPTV:", "x": 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# IPTV / DVB增值服务动态大搜罗(3月1日-3月7日) ## 湖北移动IPTV:爱家少儿周边福利大派送 ## 广西IPTV:【看广西】专区全新升级 ## 山东移动IPTV:订购直播畅享年包可免费领好礼 ## 湖北移动IPTV:499TV 豆抢兑煮蛋器 ## 河北IPTV:V 币兑换现金红包 ## 福建IPTV:【奋勇争先——2025全国两会】上线 ## 福建移动IPTV:“她自有光”抽奖活动 ## 山东移动IPTV:订购影视黄金会员半年包送好礼 ## 江苏有线:“3.8 女神节” 影视会员优惠活动
67f63122-b966-45c9-abb8-86603c46bf4e
web
test/raw_web_htmls/67f63122-b966-45c9-abb8-86603c46bf4e.html
https://openjdk.org/jeps/8328186
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position_id=\"37\">2025/03/12 20:38</td></tr><tr position_id=\"38\"><td position_id=\"39\">Issue</td><td position_id=\"40\"><a href=\"https://bugs.openjdk.org/browse/JDK-8328186\" position_id=\"41\">8328186</a></td></tr></tbody></table>", "language": "english", "position": {"atoms": [{"position_id": 9, "txt": "<table <table class=\"head\" position_id=\"9\"><tbody position_id=\"10\"><tr position_id=\"11\"><td position_id=\"12\">Owner</td><td position_id=\"13\">Dmitry Chuyko</td></tr><tr position_id=\"14\"><td position_id=\"15\">Type</td><td position_id=\"16\">Feature</td></tr><tr position_id=\"17\"><td position_id=\"18\">Scope</td><td position_id=\"19\">JDK</td></tr><tr position_id=\"20\"><td position_id=\"21\">Status</td><td position_id=\"22\">Draft</td></tr><tr position_id=\"23\"><td position_id=\"24\">Component</td><td position_id=\"25\">hotspot / compiler</td></tr><tr position_id=\"26\"><td position_id=\"27\">Effort</td><td position_id=\"28\">S</td></tr><tr position_id=\"29\"><td 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Terms of Use · License:", "language": "english", "position": {"atoms": [{"position_id": 587, "txt": "© Oracle Corporation and/or its affiliates ", "x": "/html/body/div[3]"}, {"position_id": 589, "txt": "Terms of Use", "x": "/html/body/div[3]/a[1]"}, {"position_id": 591, "txt": " · License:", "x": "/html/body/div[3]/a[1]"}]}, "tags": [], "label": "O", "web_segment_id": 76, "global_sentence_id": 114, "edu_l1_label": "EDU_O"}, {"txt": " GPLv2 · Privacy · Trademarks", "language": "english", "position": {"atoms": [{"position_id": 592, "txt": " ", "x": "/html/body/div[3]/a[1]"}, {"position_id": 594, "txt": "GPLv2", "x": "/html/body/div[3]/a[2]"}, {"position_id": 596, "txt": " · ", "x": "/html/body/div[3]/a[2]"}, {"position_id": 598, "txt": "Privacy", "x": "/html/body/div[3]/a[3]"}, {"position_id": 600, "txt": " · ", "x": "/html/body/div[3]/a[3]"}, {"position_id": 602, "txt": "Trademarks", "x": "/html/body/div[3]/a[4]"}]}, "tags": [], "label": "O", "web_segment_id": 76, "global_sentence_id": 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# JEP draft: Hot Code Heap ## Summary ## Goals ## Non-Goals ## Success Metrics ## Motivation ### Sparse hot code is slower ### Not all compiled code is called frequently all the time ### Hot code co-location ### Hot code marking ## Description ### New code heap ### New compiler directive option ### New method flag ## Alternatives ## Testing ## Risks and Assumptions ## Dependencies
7c721fab-0ac4-4d5c-9d50-66bc2bd28e6b
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# 美俄关系惊天逆转!特朗普突然对俄松绑制裁,欧洲盟友集体炸锅 ## 制裁松绑计划曝光 ### (一)战略动机:石油、稀土与选举筹码 ### (二)技术细节:绕过国会的“暗度陈仓” ## 美俄秘密谈判 ## 制裁联盟面临崩溃 ### (一)信任危机:跨大西洋关系的“至暗时刻” ### (二)结构性矛盾:能源自主vs美国优先
d5361900-9b96-4c46-b8ad-945b6f402af8
web
test/raw_web_htmls/d5361900-9b96-4c46-b8ad-945b6f402af8.html
https://www.qqorw.cn/mrzb/673.html
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# 2月18日,星期二,在这里每天60秒读懂世界!
511ba396-5bea-47f9-b7f2-7631523ab6cd
web
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731, "txt": "那么新时代企业家精神的内涵是什么?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section/section/section/section[3]/section/section[1]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "近年来,从党的二十大到全国两会,再到民营企业座谈会,习近平总书记多次强调要“弘扬企业家精神”,而弘扬企业家精神必然要明晰其内涵,并厘清中国企业家精神与西方理论所提出的“企业家精神”有何不同。", "language": "chinese", "position": {"atoms": [{"position_id": 732, "txt": "近年来,从党的二十大到全国两会,再到民营企业座谈会,习近平总书记多次强调要“弘扬企业家精神”,而弘扬企业家精神", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section/section/section/section[3]/section/section[1]/p[3]/span"}, {"position_id": 734, "txt": "必然要明晰其内涵,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section/section/section/section[3]/section/section[1]/p[3]/span/span/strong[1]"}, {"position_id": 736, "txt": "并厘清中国企业家精神与西方理论所提出的“企业家精神”有何不同。", "x": 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# 研究 | “中国企业家精神”有何不同?他们基于中国情境探索建构理论框架 ## “聚焦两会” ## 01系统梳理奥派理论中的相关重要论述,他们探索构建中国企业家精神理论框架 ### 一是面临制度压力与制度不确定性 ### 二是拥有巨大的制度型市场与利基产品市场机会 ### 三是具有显著的“中国文化特色” ## 02基于中国企业家精神理论框架,他们提出亟待深入研究的一系列重要问题 ### 前因问题:政府干预与市场非均衡 ### 内涵问题:道术融合的中国企业家精神 ### 后果问题:社会创业与动态市场竞争 ## 03明晰内涵与特色,该研究将推动中国企业家精神理论与新质生产力发展
2206578f-95db-4c19-ba65-47b208397170
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# 【出海指南】中国居民赴巴林投资税收指南|附下载 ## 第一章 巴林概况及投资环境 ### 1.1 国家概况 ### 1.2 投资环境 ## 第二章 巴林税收制度 ### 2.1 税制概览 ### 2.2 企业所得税(CIT) ### 2.3 增值税(VAT) ### 2.4 消费税(Excise Tax) ### 2.5 其他税费 ### 2.6 COVID-19税收政策 ## 第三章 税收征管制度 ### 3.1 税务管理机构 ### 3.2 纳税人义务 ### 3.3 非居民税收管理 ## 第四章 特别纳税调整政策 ### 4.1 关联交易监管 ### 4.2 反避税措施 ## 第五章 中巴税收协定 ### 5.1 协定核心内容 ### 5.2 税收争议解决 ## 第六章 税收风险提示 ### 6.1 合规风险 ### 6.2 调查风险 ### 6.3 协定滥用风险 ## 总结建议
fe896cc5-6a7c-43af-b7a0-2321f468c1af
web
test/raw_web_htmls/fe896cc5-6a7c-43af-b7a0-2321f468c1af.html
https://www.thariq.io/blog/sorting/
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" Let me know if it is!", "language": "english", "position": {"atoms": [{"position_id": 767, "txt": " Let me know if it is!", "x": "/html/body/main/div/div/article/div[2]/p[33]"}]}, "tags": [], "label": "content", "web_segment_id": 88, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "If you’re running into this problem at a more complicated scale, send me an email (trq212 AT gmail DOT com) and I’ll see if I can help.", "language": "english", "position": {"atoms": [{"position_id": 769, "txt": "If you’re running into this problem at a more complicated scale, send me an email (trq212 AT gmail DOT com) and I’ll see if I can help.", "x": "/html/body/main/div/div/article/div[2]/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 89, "global_sentence_id": 119, "edu_l1_label": "IOS"}], "type": "WEB"}
# LLM-Powered Sorting with TrueSkill ## The Challenge with LLM Sorting ## Enter TrueSkill ## Implementation ### LLM Sorting Prompt ## An Example ## When are you “done”? ## Alternatives ### Individual Scoring ### Embedding-based Sorting ## Optimization ### Smart Batch Selection ### Using Confidence Intervals ## Conclusion
9e4a4b9c-7a7b-4a46-8685-a73650e932e6
web
test/raw_web_htmls/9e4a4b9c-7a7b-4a46-8685-a73650e932e6.html
https://www.notboring.co/p/base-power-company-chapter-2
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", "language": "english", "position": {"atoms": [{"position_id": 1701, "txt": " Most importantly, as they’ve tackled the inevitable challenges of building a vertical integrator in the massive, critically important power market, their ambition has only grown. 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I’m betting, is how you build America’s Power Company.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[5]/div[2]/div/p[335]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 454, "global_sentence_id": 1074, "edu_l1_label": "IOS"}, {"txt": " But it’s going to take a lot of work.", "language": "english", "position": {"atoms": [{"position_id": 3429, "txt": " But it’s going to take a lot of work.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[5]/div[2]/div/p[335]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 454, "global_sentence_id": 1075, "edu_l1_label": "IOS"}, {"txt": " Join ‘em.", "language": "english", "position": {"atoms": [{"position_id": 3430, "txt": " ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[5]/div[2]/div/p[335]/span[1]"}, {"position_id": 3432, "txt": "Join ‘em", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[5]/div[2]/div/p[335]/a"}, {"position_id": 3434, "txt": 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# Base Power Company: Chapter 2 ## Base Power Company: Chapter Two ### The Generational American Electric Company Thesis ### The House ### The Operating System for Electricity ### How to Build the Base Layer ### Growth ### Manufacturing ### A Note on the Turtle ### Deployment ### Software ### Expansion ### America’s Next-Generation Power Company
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{"entry_id": "f60f9255-cfb4-41ed-a70c-dc9e31ed3bed", "infos": [{"txt": "Hierarchical Document Parsing via Large Margin Feature Matching and", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.135, 0.124, 0.862, 0.138]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 0, "edu_l1_label": "BOT"}, {"txt": "Heuristics", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.449, 0.145, 0.55, 0.158]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 2, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "Duong Anh Kiet", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 100000, "bbox": [[0.433, 0.18, 0.57, 0.19]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 3, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "L3i Laboratory, La Rochelle University", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 200000, "bbox": [[0.37, 0.201, 0.627, 0.213]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 4, "global_sentence_id": 3, "edu_l1_label": "EDU_O"}, {"txt": "17042 La Rochelle Cedex 1- France", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.38, 0.215, 0.618, 0.224]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 5, "global_sentence_id": 4, "edu_l1_label": "EDU_O"}, {"txt": "[email protected]", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.428, 0.232, 0.574, 0.233]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 6, "global_sentence_id": 5, "edu_l1_label": "EDU_O"}, {"txt": "SZ07TIN8[TO.so] CAZttL0.70sC:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.029, 0.248, 0.052, 0.629]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 7, "global_sentence_id": 6, "edu_l1_label": "EDU_O"}, {"txt": "AIXTe", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.052, 0.248, 0.052, 0.677]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 7, "global_sentence_id": 7, "edu_l1_label": "EDU_O"}, {"txt": "Abstract", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 600000, "bbox": [[0.252, 0.277, 0.313, 0.285]]}]}, "tags": ["title"], "label": "abstract", "web_segment_id": 8, "global_sentence_id": 8, "edu_l1_label": "BOS"}, {"txt": "We present our solution to the AAAI-25 VRD-IU challenge,achieving first place in the competition.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.104, 0.296, 0.463, 0.306], [0.105, 0.311, 0.345, 0.317]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "Our approach inte-grates large margin loss for improved feature discrimination and employs heuristic rules to refine hierarchical relation-ships.BBy combining a deep learning-based matching strat-egy with greedy algorithms, we achieve a significant boost in accuracy while maintaining computational efficiency.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.345, 0.311, 0.46, 0.316], [0.104, 0.324, 0.46, 0.33], [0.11, 0.336, 0.461, 0.342], [0.104, 0.348, 0.462, 0.352], [0.104, 0.362, 0.462, 0.367], [0.105, 0.373, 0.435, 0.379]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 9, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "Our method attains an accuracy of 0.98904 on the private leader-board, demonstrating its effectiveness in document structure parsing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.435, 0.373, 0.461, 0.379], [0.104, 0.386, 0.462, 0.39], [0.105, 0.397, 0.46, 0.405], [0.104, 0.412, 0.153, 0.417]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 9, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "Code-https://github.com/ffyyytt/VRUID-AAAI-DAKiet Models-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.087, 0.431, 0.478, 0.441], [0.087, 0.448, 0.159, 0.454]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 10, "global_sentence_id": 12, "edu_l1_label": "EDU_O"}, {"txt": "https://www.kaggle.com/models/fdfyaytkt/vruid-aaai-dakiet/PyTorch/figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.104, 0.462, 0.458, 0.468], [0.104, 0.476, 0.246, 0.485]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 13, "edu_l1_label": "EDU_O"}, {"txt": "Introduction", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.229, 0.505, 0.335, 0.516]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 12, "global_sentence_id": 14, "edu_l1_label": "BOS"}, {"txt": "Document structure parsing is essential for visually rich document understanding, enabling applications such as in-formation retrieval and document summarization (Xu et al.2020).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.087, 0.523, 0.476, 0.533], [0.087, 0.538, 0.478, 0.547], [0.088, 0.553, 0.478, 0.561], [0.087, 0.565, 0.132, 0.574]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "Unlike traditional text-based document processing,mining reports and other complex documents contain het-erogeneous semantic entities,requiring hierarchical parsing to infer parent-child relationships (Li et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.132, 0.565, 0.48, 0.575], [0.087, 0.582, 0.478, 0.585], [0.087, 0.596, 0.476, 0.604], [0.087, 0.609, 0.368, 0.616]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "2020).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.368, 0.609, 0.413, 0.616]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "The AAAI-25 Visually-Rich Document (VRD-IU) Leader-board task involves predicting parent-child relationships among detected entities in mining reports.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.105, 0.621, 0.48, 0.628], [0.087, 0.635, 0.476, 0.644], [0.087, 0.652, 0.382, 0.658]]}]}, "tags": ["text"], "label": "introduction", "web_segment_id": 14, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "This problem is challenging due to scanned and inconsistently structured documents, necessitating inference from spatial and contex-tual cues.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.382, 0.652, 0.47, 0.657], [0.09, 0.664, 0.478, 0.671], [0.087, 0.677, 0.479, 0.684], [0.087, 0.692, 0.151, 0.698]]}]}, "tags": ["text"], "label": "introduction", "web_segment_id": 14, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "Performance is evaluated using accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.151, 0.692, 0.423, 0.698]]}]}, "tags": ["text"], "label": "introduction", "web_segment_id": 14, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "In this paper, we present our solution, which ranked first in the competition.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.104, 0.704, 0.48, 0.713], [0.087, 0.718, 0.215, 0.727]]}]}, "tags": ["text"], "label": "introduction", "web_segment_id": 15, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "We combines large margin loss for im-proved feature discrimination with heuristic greedy algo-rithms for efficient hierarchical assignment.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.215, 0.718, 0.475, 0.726], [0.087, 0.734, 0.478, 0.739], [0.088, 0.747, 0.375, 0.754]]}]}, "tags": ["text"], "label": "introduction", "web_segment_id": 15, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "Method details our approach, Experiments presents experimental results,and Conclusion section concludes with insights and future directions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.375, 0.747, 0.478, 0.754], [0.087, 0.762, 0.48, 0.769], [0.087, 0.776, 0.476, 0.782], [0.087, 0.787, 0.158, 0.796]]}]}, "tags": ["text"], "label": "introduction", "web_segment_id": 15, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "Related Work", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.224, 0.813, 0.341, 0.824]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 16, "global_sentence_id": 24, "edu_l1_label": "BOS"}, {"txt": "Documents inherently exhibit a hierarchical structure, where parent-child relationships are fundamental across various", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.087, 0.831, 0.477, 0.84], [0.087, 0.848, 0.476, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "Copyright $C$ 2025, Association for the Advancement of Artificial Intelligence (www.aaai.org).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.086, 0.864, 0.48, 0.889]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 18, "global_sentence_id": 26, "edu_l1_label": "EDU_O"}, {"txt": "All rights reserved.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.086, 0.864, 0.48, 0.889]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 18, "global_sentence_id": 27, "edu_l1_label": "EDU_O"}, {"txt": "formats, such as figure-caption and section-paragraph asso-ciations in reports (Ding, Lee, and Han 2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.521, 0.277, 0.911, 0.284], [0.521, 0.292, 0.837, 0.299]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "Accurately modeling these relationships is crucial for document struc-ture parsing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.837, 0.292, 0.91, 0.301], [0.522, 0.307, 0.913, 0.31], [0.521, 0.32, 0.609, 0.327]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "Prior works such as DocStruct (Wang et al.2020),SERA (Zhang et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.609, 0.32, 0.912, 0.327], [0.521, 0.331, 0.694, 0.341]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "2021), and KVPFormer (Hu et al.2023) have significantly contributed to this task by leverag-ing deep learning models for entity linking.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.694, 0.331, 0.913, 0.341], [0.521, 0.345, 0.911, 0.355], [0.522, 0.36, 0.81, 0.368]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "However, these methods rely on conventional distance metrics,which may struggle to differentiate entities with highly similar feature representations (Duong and Gomez-Krämer 2025b).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.81, 0.36, 0.91, 0.367], [0.522, 0.375, 0.91, 0.383], [0.522, 0.389, 0.911, 0.395], [0.521, 0.403, 0.863, 0.409]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "Recent advancements in matching take inspiration from CLIP (Radford et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.52, 0.415, 0.913, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 20, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "2021), instead of cross-modal learn-ing between text and images, document structure parsing deals with entities of the same modality.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.52, 0.415, 0.913, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 20, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "However, we also need feature representations for child $fc$ and for parent $fp$.In terms of feature separation, large margin loss functions such as LMCot (Duong, Nguyen, and Truong 2022), Arc-Face (Deng et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.52, 0.415, 0.913, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 20, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "2019), and NormFace (Wang et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.52, 0.415, 0.913, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 20, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "2017)improve feature extraction by enforcing larger inter-class separability while maintaining intra-class compactness.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.52, 0.415, 0.913, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 20, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "Beyond deep learning-based approaches, heuristic rules and greedy algorithms have proven effective in competitive settings(Duong and Gomez-Krämer 2025a).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.538, 0.553, 0.91, 0.562], [0.521, 0.569, 0.911, 0.576], [0.522, 0.583, 0.81, 0.589]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 21, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "In the next sec-tion, we detail our integration of large margin loss for match-ing and the heuristic rules applied in the competition.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.81, 0.583, 0.911, 0.587], [0.522, 0.597, 0.911, 0.601], [0.524, 0.61, 0.87, 0.617]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 21, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "Method", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.684, 0.636, 0.748, 0.646]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 22, "global_sentence_id": 40, "edu_l1_label": "BOS"}, {"txt": "In this section we introduce our loss function with improve-ments from large margin loss.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.521, 0.655, 0.913, 0.664], [0.522, 0.672, 0.722, 0.677]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 23, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "And then the heuristic rules we observed to increase the performance of the model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.722, 0.672, 0.911, 0.678], [0.522, 0.684, 0.879, 0.691]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 23, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "Margin loss for matching", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.521, 0.708, 0.713, 0.719]]}]}, "tags": ["text"], "label": "title1", "web_segment_id": 24, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "Starting with the loss function in CLIP (Radford et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.521, 0.727, 0.868, 0.735]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 25, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "2021):", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.868, 0.727, 0.913, 0.735]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 25, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "$$L_{\\mathrm {CLIP}}=-\\frac {1}{N_{c}}\\sum _{i=1}^{N}\\log \\frac {e^{fc_{i}xfp_{y_{i}}^{T}}}{\\sum _{j=1}^{N_{p}}e^{fc_{i}xfp_{j}^{T}}}\\tag{1}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.603, 0.747, 0.913, 0.799]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 26, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "where$N_{c}$and$N_{p}$denote the number of child entities re-quiring a parent and the number of potential parent entities,respectively.The feature representations of child and parent entities are denoted as$c_{i}$and $fp_{i}$i, where $i$ is the index of the entity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.52, 0.806, 0.913, 0.888]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 27, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "The term fpt, corresponds to the feature of the actual parent of the $i$-th child entity, where $y_{i}$ indicates its", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.52, 0.806, 0.913, 0.888]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 27, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "parent's index.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.087, 0.074, 0.189, 0.08]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "In other words, the numerator captures the similarity between a child and its correct parent, while the denominator sums over all potential parent entities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.189, 0.074, 0.476, 0.081], [0.088, 0.088, 0.475, 0.094], [0.087, 0.1, 0.423, 0.108]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "Then we can reformulate the equation 1 as:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.105, 0.114, 0.387, 0.122]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "$$L_{\\mathrm {CLIP}}=-\\frac {1}{N_{c}}\\sum _{i=1}^{N}\\log \\frac {e^{s\\left\\|fc_{i}\\right\\|\\left\\|fp_{y_{i}}^{T}\\right\\|\\cos \\left(\\theta _{i,y_{i}}\\right)}}{\\sum _{j=1}^{N_{p}}e^{s\\left\\|fc_{i}\\right\\|\\left\\|fp_{j}^{T}\\right\\|\\cos \\left(\\theta _{i,j}\\right)}}\\tag{2}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.132, 0.131, 0.48, 0.184]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 3, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "where$\\theta _{i,j}$is the angle between the child feature vector$fc_{i}$and the parent feature vector$fp_{j}.$Ascaling factor $S$ is then introduced to restore the magnitude after normalization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.086, 0.189, 0.48, 0.229]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "Following NormFace (Wang et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.086, 0.232, 0.48, 0.328]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "2017), we normalize the feature vectors so that$\\left\\|fc_{i}\\right\\|=\\left\\|fp_{j}\\right\\|=1$for all $i,j$.Building upon ArcFace (Deng et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.086, 0.232, 0.48, 0.328]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "2019), we further in-troduce a margin parameter $m$, which strengthens the re-lationship between parent-child pairs while increasing the separation between unrelated entities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.086, 0.232, 0.48, 0.328]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "By this way, the loss function is rewritten as:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.086, 0.232, 0.48, 0.328]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "$$L_{\\text {matching}}=-\\frac {1}{N_{c}}\\sum _{i=1}^{N}\\log \\frac {e^{sx\\cos \\left(\\theta _{i,y_{i}}+m\\right)}}{e^{sx\\cos \\left(\\theta _{i,y_{i}}+m\\right)}+\\sum _{j=1,j\\neq i}^{N_{p}}e^{sx\\cos \\left(\\theta _{i,j}\\right)}}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.087, 0.343, 0.479, 0.398]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 6, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "(3)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.462, 0.397, 0.478, 0.407]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 7, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "Thus, we effectively incorporate advancements in large margin cosine loss into feature matchinglearning.With this loss function, the feature extraction process is optimized such that, even with the margin parameter $m$,features of re-lated parent-child entities remain closer in the learned space compared to unrelated ones.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.085, 0.41, 0.48, 0.518]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "This encourages the model to form more discriminative representations, enhancing the ac-curacy of hierarchical relationship inference.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.085, 0.41, 0.48, 0.518]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "Greedy algorithms", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.087, 0.532, 0.23, 0.542]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 62, "edu_l1_label": "BOS"}, {"txt": "In addition to the loss function introduced earlier, we identified several structural patterns that improve both the accuracy and computational efficiency of our approach.These heuristics allow for a more efficient assignment of parent-child relationships, reducing the need for exhaustive pairwise comparisons.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.087, 0.551, 0.477, 0.559], [0.087, 0.565, 0.476, 0.572], [0.087, 0.581, 0.48, 0.592], [0.088, 0.592, 0.478, 0.6], [0.087, 0.608, 0.477, 0.614], [0.087, 0.621, 0.239, 0.628]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "First, entities belonging to specific categories never have a parent, including: abstract,appendix_list, cross, figure, form_title,list_of_figures, list_of_tables, other,references, report_title, section, summary,table,table_of_contents,andtitle.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.239, 0.621, 0.478, 0.628], [0.087, 0.636, 0.478, 0.644], [0.088, 0.65, 0.48, 0.657], [0.088, 0.661, 0.478, 0.671], [0.088, 0.677, 0.479, 0.686], [0.088, 0.691, 0.393, 0.698]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "Second, a strong hierarchical relationship exists among the categories:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.104, 0.703, 0.478, 0.711], [0.087, 0.719, 0.267, 0.725]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": " section, subsection,subsubsection, subsubsubsection,and paragraph.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.267, 0.719, 0.479, 0.727], [0.088, 0.732, 0.219, 0.74], [0.257, 0.732, 0.432, 0.74], [0.453, 0.732, 0.475, 0.739], [0.087, 0.747, 0.184, 0.753]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "These entities follow a strict sequential structure, where each entity is assigned as a child to the nearest preceding entity in the order.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.184, 0.747, 0.478, 0.753], [0.087, 0.759, 0.476, 0.766], [0.087, 0.773, 0.328, 0.78]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "Third, specific entities exhibit predefined parent-child de-pendencies:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.105, 0.785, 0.479, 0.793], [0.087, 0.802, 0.167, 0.807]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "·table_caption is always a child of table.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.094, 0.819, 0.419, 0.826]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "·figure_caption is always a child of figure.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.094, 0.833, 0.439, 0.842]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "·form is always a child of summary, abstract,section, subsection, subsubsection, or subsubsubsection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.094, 0.848, 0.478, 0.86], [0.109, 0.866, 0.476, 0.872], [0.109, 0.88, 0.269, 0.887]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "·list is a child of paragraph, section,subsection, subsubsection, or subsubsubsection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.528, 0.074, 0.913, 0.082], [0.543, 0.088, 0.645, 0.096], [0.706, 0.088, 0.837, 0.096], [0.897, 0.088, 0.911, 0.095], [0.542, 0.102, 0.703, 0.108]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "·form_body is a child of form_title,summary, abstract, section, subsection,subsubsection, or subsubsubsection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.527, 0.117, 0.913, 0.126], [0.543, 0.132, 0.913, 0.14], [0.543, 0.145, 0.855, 0.153]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "By enforcing these structured dependencies, we further im-prove the accuracy of entity relationship prediction while maintaining computational efficiency.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.521, 0.161, 0.91, 0.17], [0.521, 0.177, 0.911, 0.184], [0.522, 0.19, 0.77, 0.197]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "Experiments", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.663, 0.215, 0.769, 0.225]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 19, "global_sentence_id": 75, "edu_l1_label": "BOS"}, {"txt": "In this section, we present the competition dataset, our im-plementation, and the archived results of the competition.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.521, 0.234, 0.911, 0.242], [0.521, 0.25, 0.896, 0.256]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 20, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "Dataset", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.521, 0.273, 0.579, 0.282]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 21, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "The dataset contains 571 training, 165 validation, and 81test documents.Labels are provided only for the training set,while the validation and test sets are used for the public and private leaderboards.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.522, 0.291, 0.909, 0.3], [0.521, 0.306, 0.912, 0.314], [0.522, 0.319, 0.91, 0.327], [0.521, 0.335, 0.661, 0.34]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 22, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "Each document contains multiple ob-jects,each with a bounding box in the scanned document and optional text content.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.661, 0.335, 0.913, 0.338], [0.521, 0.348, 0.91, 0.355], [0.521, 0.362, 0.694, 0.368]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 22, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "The task is to predict the parent object for each object, evaluated using accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.694, 0.362, 0.913, 0.369], [0.521, 0.375, 0.838, 0.382]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 22, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "Implemtentation", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.521, 0.398, 0.649, 0.408]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 23, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "We use a pre-trained BART-large (Lewis 2019) for text fea-ture extraction and a pre-trained SwinV2-Tiny (Liu et al.2022) for image features.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.522, 0.416, 0.91, 0.426], [0.522, 0.432, 0.912, 0.439], [0.521, 0.444, 0.685, 0.453]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 24, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "The extracted features are concate-nated with additional information suchas page number and bounding box position.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.685, 0.444, 0.91, 0.453], [0.521, 0.461, 0.91, 0.467], [0.521, 0.472, 0.676, 0.48]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 24, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "Two separate encoders, each with a 512-dimensional output, are used to extract features for par-ent and child entities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.676, 0.472, 0.911, 0.481], [0.521, 0.485, 0.912, 0.492], [0.521, 0.501, 0.662, 0.508]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 24, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "Results", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.521, 0.524, 0.577, 0.533]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 25, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "Due to time constraints in the competition, we were unable to conduct extensive experiments on alternative methods or additional datasets.", "language": "english", 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# Hierarchical Document Parsing via Large Margin Feature Matching andHeuristics ## Abstract ## Introduction ## Related Work ## Method ### Margin loss for matching ### Greedy algorithms ## Experiments ### Dataset ### Implemtentation ### Results ## Conclusion
20470168-c6b8-4b03-9fdf-9e01675b4a53
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test/raw_pdf_files/20470168-c6b8-4b03-9fdf-9e01675b4a53.pdf
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# “对等关税”对中国工程机械行业的影响 ## 特朗普政府“对等关税”政策以基准关税叠加额外关税的组合模式正式落地。 ## 近年来中国工程机械产品出口金额保持增长,其中“一带一路”沿线国家出口表现突出,对美出口份额下降。目前中国工程机械企业对美敞口有限,整体风险可控。 ## 美国本土企业或将受益,同时可能加剧工程机械行业的全球竞争。中国工程机械企业进行海外产能布局及新兴市场拓展,能有效分散风险。 ## 短期压力与长期机遇并存。
b55512e8-c63c-42f4-b654-7325b525a34e
web
test/raw_web_htmls/b55512e8-c63c-42f4-b654-7325b525a34e.html
https://arstechnica.com/tech-policy/2025/03/california-bill-would-force-isps-to-offer-100mbps-plans-for-15-a-month/
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# California bill would force ISPs to offer 100Mbps plans for $15 a month ## Several states consider price requirements
7c78a02d-6b22-4cd1-b571-b4ff7af952e1
web
test/raw_web_htmls/7c78a02d-6b22-4cd1-b571-b4ff7af952e1.html
https://mp.weixin.qq.com/s/axwBM9DsWGUETdnpSDi0Rw
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"/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[117]/section/section/section/section/span/span[1]/strong"}, {"position_id": 1167, "txt": "查看", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[117]/section/section/section/section/span/span[1]/strong/span/strong"}, {"position_id": 1169, "txt": "完整榜单:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[117]/section/section/section/section/span/span[1]/strong/span/strong"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 170, "global_sentence_id": 160, "edu_l1_label": "EDU_O"}, {"txt": "🔗https://ai.onlinedown.net/", "language": "chinese", "position": {"atoms": [{"position_id": 1171, "txt": "🔗", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[117]/section/section/section/section/span/span[1]/strong/span"}, {"position_id": 1173, "txt": "https://ai.onlinedown.net/", "x": 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"/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[130]/span/span[5]"}, {"position_id": 1191, "txt": "!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[130]/span/span[6]"}]}, "tags": [], "label": "O", "web_segment_id": 175, "global_sentence_id": 166, "edu_l1_label": "EDU_O"}, {"txt": "欢迎将本文【分享】给你的同事、伙伴,我们将后续发布国内AI产品分析报告发布。", "language": "chinese", "position": {"atoms": [{"position_id": 1193, "txt": "欢迎将本文", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[131]/span/span[1]"}, {"position_id": 1195, "txt": "【分享】", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[131]/span/span[2]"}, {"position_id": 1197, "txt": "给你的同事、伙伴,我们将后续发布国内AI产品分析报告发布。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[131]/span/span[3]"}]}, "tags": [], "label": "O", "web_segment_id": 176, "global_sentence_id": 167, "edu_l1_label": "EDU_O"}, {"txt": "✅想了解更多数据细节、数据引用、产品收录、文章转载,请添加客户经理微信:", "language": "chinese", "position": {"atoms": [{"position_id": 1199, "txt": "✅想了解更多数据细节、数据引用、", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/blockquote/section/section/span/span[1]"}, {"position_id": 1201, "txt": "产品收录、", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/blockquote/section/section/span/span[1]/span"}, {"position_id": 1203, "txt": "文章转载,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/blockquote/section/section/span/span[1]/span"}, {"position_id": 1205, "txt": "请添加客户经理微信:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/blockquote/section/section/span/span[2]"}]}, "tags": [], "label": "O", "web_segment_id": 177, "global_sentence_id": 168, "edu_l1_label": "EDU_O"}, {"txt": "AIRankserv", "language": "chinese", "position": {"atoms": [{"position_id": 1207, "txt": "AIRankserv", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/blockquote/section/section/span/span[3]/strong"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 177, "global_sentence_id": 169, "edu_l1_label": 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# 【快看】2024年AI产品百强榜单终于发布!! ##  丨AI产品榜的构成丨 ##  丨‍10月TOP100产品丨 ##  丨10月AI产品榜分析丨 ### 📣【省流版】 ##  丨百度文心重夺榜首丨 ##  丨4千万访问的百度翻译还在增长丨 ##  丨豆包调低投放力度丨 ##  丨聊天机器人·Kimi延续强势增长丨 ##  丨聊天机器人·讯飞星火全新升级丨 ##  丨办公·微信输入法强势启动丨 ##  丨办公·Wordvice你没听过的小而美丨 ##  丨图像·美图强势产品矩阵吸睛丨 ##  丨图像·哩布哩布 画师的开心乐园丨 ##  丨其它产品看点丨 ##  丨总结:收缩战线,凝聚战力丨
745c2257-6bd9-4c2c-b0ca-a2b83d4b91ad
web
test/raw_web_htmls/745c2257-6bd9-4c2c-b0ca-a2b83d4b91ad.html
https://36kr.com/p/3219967011490689
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"大神卡帕西带着他的教程又来了!", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 4, "edu_l1_label": "BOS"}, {"txt": "这次不是教学视频,而是手把手教你如何用大模型开发APP——", "language": "chinese", "position": {"atoms": [{"position_id": 343, "txt": "这次不是教学视频,而是手把手教你如何用大模型开发APP——", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 5, "edu_l1_label": "IOS"}, {"txt": "他没有阅读任何文档,也没有在专门平台Swift编程过,在与ChatGPT仅四轮对话的指导下,成功在手机上运行上了。", "language": "chinese", "position": {"atoms": [{"position_id": 345, "txt": "他没有阅读任何文档,也没有在专门平台Swift编程过,在与ChatGPT", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[3]"}, {"position_id": 347, "txt": "仅四轮对话", "x": 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"/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "运行APP。", "language": "chinese", "position": {"atoms": [{"position_id": 377, "txt": "运行APP。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1ExYkI3q8HpM48E4OW2mzmHL.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 277, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1ExYkI3q8HpM48E4OW2mzmHL.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[10]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 14, "global_sentence_id": 22, "edu_l1_label": "EDU_O"}, {"txt": "随后,卡帕西告诉了ChatGPT他的需求:", "language": "chinese", "position": {"atoms": [{"position_id": 379, "txt": "随后,卡帕西告诉了ChatGPT他的需求:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "一个用来减肥跟踪的APP;", "language": "chinese", "position": {"atoms": [{"position_id": 381, "txt": "一个用来减肥跟踪的APP;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote/p"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "希望APP能显示一个计时器,但其单位是因时间流逝而 “免费 ”消耗的卡路里。", "language": "chinese", "position": {"atoms": [{"position_id": 382, "txt": "希望APP能显示一个计时器,但其单位是因时间流逝而 “免费 ”消耗的卡路里。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote/p"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "这将是屏幕中央大数字显示的主要内容。", "language": "chinese", "position": {"atoms": [{"position_id": 383, "txt": "这将是屏幕中央大数字显示的主要内容。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote/p"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "比如取 2000卡路里,除以24/60/60", "language": "chinese", "position": {"atoms": [{"position_id": 384, "txt": "比如取 2000卡路里,除以24/60/60", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote/p"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": " 得出每秒消耗的卡路里,然后每秒更新一次我目前已经消耗的卡路里。", "language": "chinese", "position": {"atoms": [{"position_id": 385, "txt": " 得出每秒消耗的卡路里,然后每秒更新一次我目前已经消耗的卡路里。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote/p"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "以及一些具体的要求:", "language": "chinese", "position": {"atoms": [{"position_id": 387, "txt": "以及一些具体的要求:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "增加 2 个按钮,一个按钮是+100,另一个是-100。", "language": "chinese", "position": {"atoms": [{"position_id": 389, "txt": "增加 2 个按钮,一个按钮是+100,另一个是-100。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "翻转计时器的方向", "language": "chinese", "position": {"atoms": [{"position_id": 391, "txt": "翻转计时器的方向", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "颜色:", "language": "chinese", "position": {"atoms": [{"position_id": 393, "txt": "颜色:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "+100 显示为红色,-100为绿色。", "language": "chinese", "position": {"atoms": [{"position_id": 394, "txt": "+100 显示为红色,-100为绿色。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "-当前的千卡数也用颜色表示:", "language": "chinese", "position": {"atoms": [{"position_id": 395, "txt": "-当前的千卡数也用颜色表示:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "红色表示不好(过剩),绿色表示好(不足)。", "language": "chinese", "position": {"atoms": [{"position_id": 396, "txt": "红色表示不好(过剩),绿色表示好(不足)。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/PdtRvco7xu43aMctRdJC7.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 286, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/PdtRvco7xu43aMctRdJC7.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[16]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 21, "global_sentence_id": 36, "edu_l1_label": "EDU_O"}, {"txt": "整个编写过程中他还遇到了一些问题,也都通通抛给ChatGPT解决。", "language": "chinese", "position": {"atoms": [{"position_id": 398, "txt": "整个编写过程中他还遇到了一些问题,也都通通抛给ChatGPT解决。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4wq7lw244gaB1lY5su17Sayv.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 289, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4wq7lw244gaB1lY5su17Sayv.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[18]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 23, "global_sentence_id": 38, "edu_l1_label": "EDU_O"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2QrIkXMSa8yKFKzbxpmqM.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 291, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2QrIkXMSa8yKFKzbxpmqM.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[19]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 24, "global_sentence_id": 39, "edu_l1_label": "EDU_O"}, {"txt": "第二步,增强。", "language": "chinese", "position": {"atoms": [{"position_id": 400, "txt": "第二步,增强", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[20]/strong"}, {"position_id": 402, "txt": "。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[20]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 25, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "在原有基础上增添一些功能以及一些小小改动(调整字体大小啥的)。", "language": "chinese", "position": {"atoms": [{"position_id": 403, "txt": "在原有基础上增添一些功能以及一些小小改动(调整字体大小啥的)。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[20]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 25, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "ChatGPT也给出了一些建议,比如卡路里动态运行图、小工具集成等等。", "language": "chinese", "position": {"atoms": [{"position_id": 405, "txt": "ChatGPT也给出了一些建议,比如卡路里动态运行图、小工具集成等等。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/26v34d4kblwp4qWJyu20XfR5.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 296, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/26v34d4kblwp4qWJyu20XfR5.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[22]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 27, "global_sentence_id": 43, "edu_l1_label": "EDU_O"}, {"txt": "第三步, 添加App Storage。", "language": "chinese", "position": {"atoms": [{"position_id": 407, "txt": "第三步, 添加App Storage", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[23]/strong"}, {"position_id": 409, "txt": "。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[23]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 28, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "接下来,其实卡帕西自己也不会知道要做啥了。", "language": "chinese", "position": {"atoms": [{"position_id": 411, "txt": "接下来,其实卡帕西自己也不会知道要做啥了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "在ChatGPT建议之下增加了暗黑模式、AppStorage。", "language": "chinese", "position": {"atoms": [{"position_id": 412, "txt": "在ChatGPT建议之下增加了暗黑模式、AppStorage。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2LACk51SByne1LhSr3mONrz.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 301, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2LACk51SByne1LhSr3mONrz.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[25]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 30, "global_sentence_id": 47, "edu_l1_label": "EDU_O"}, {"txt": "基本功能差不多之后,最后就是部署到手机。", "language": "chinese", "position": {"atoms": [{"position_id": 414, "txt": "基本功能差不多之后,最后就是", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]"}, {"position_id": 416, "txt": "部署到手机", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]/strong"}, {"position_id": 418, "txt": "。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 31, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3C3twKNYMo54kNzqJFYiZ1.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 305, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3C3twKNYMo54kNzqJFYiZ1.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[27]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 32, "global_sentence_id": 49, "edu_l1_label": "EDU_O"}, {"txt": "从想法到运行整个过程只需一小时搞定,而且中间的创意也都是ChatGPT来提供。", "language": "chinese", "position": {"atoms": [{"position_id": 420, "txt": "从想法到运行整个过程", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[28]"}, {"position_id": 422, "txt": "只需一小时", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[28]/strong"}, {"position_id": 424, "txt": "搞定,而且中间的创意也都是ChatGPT来提供。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[28]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 33, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "卡帕西所做的是就是开头一个想法,剩下就是在ChatGPT手把手教导下一步步完成。", "language": "chinese", "position": {"atoms": [{"position_id": 426, "txt": "卡帕西所做的是就是开头一个想法,剩下就是在ChatGPT手把手教导下一步步完成。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "然后又在第二天,他想进一步更新一些功能,也通通用ChatGPT搞定了。", "language": "chinese", "position": {"atoms": [{"position_id": 428, "txt": "然后又在第二天,他想进一步更新一些功能,也通通用ChatGPT搞定了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[30]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/iapNa3scoBo1glbco3O6P4d.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 311, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/iapNa3scoBo1glbco3O6P4d.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[31]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 36, "global_sentence_id": 53, "edu_l1_label": "EDU_O"}, {"txt": "比如添加一个漂亮的动画圆环,在底部用圆圈显示脂肪磅数等等。", "language": "chinese", "position": {"atoms": [{"position_id": 430, "txt": "比如添加一个漂亮的动画圆环,在底部用圆圈显示脂肪磅数等等。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3aJVuDqoAGb2tjiwr2z27o7.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 314, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3aJVuDqoAGb2tjiwr2z27o7.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[33]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 38, "global_sentence_id": 55, "edu_l1_label": "EDU_O"}, {"txt": "又在不久之前,卡帕西再一次更新这项目的进展(说是最后一次与ChatGPT的对话):", "language": "chinese", "position": {"atoms": [{"position_id": 432, "txt": "又在不久之前,卡帕西再一次更新这项目的进展(说是最后一次与ChatGPT的对话):", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "添加小日志并隐藏 BMR。", "language": "chinese", "position": {"atoms": [{"position_id": 434, "txt": "添加小日志并隐藏 BMR。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2kmFVUnbdKR2ljBn816u5ft.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 318, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2kmFVUnbdKR2ljBn816u5ft.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[36]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 41, "global_sentence_id": 58, "edu_l1_label": "EDU_O"}, {"txt": "应用程序现在有400行代码,速度开始变慢,功能也越来越复杂。", "language": "chinese", "position": {"atoms": [{"position_id": 436, "txt": "应用程序现在有400行代码,速度开始变慢,功能也越来越复杂。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "接下来他考虑要么将 ChatGPT 连接到 Xcode,要么连接到 Cursor 进行进一步开发。", "language": "chinese", "position": {"atoms": [{"position_id": 437, "txt": "接下来他考虑要么将 ChatGPT 连接到 Xcode,要么连接到 Cursor 进行进一步开发。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2jeSIV4kZYmIA39PX2GaWfG.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 321, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2jeSIV4kZYmIA39PX2GaWfG.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[38]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 43, "global_sentence_id": 61, "edu_l1_label": "EDU_O"}, {"txt": "然后,再看看能不能放到APP Store上。", "language": "chinese", "position": {"atoms": [{"position_id": 439, "txt": "然后,再看看能不能放到APP Store上。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "好好好,感觉可以跟着卡帕西干起来了。", "language": "chinese", "position": {"atoms": [{"position_id": 441, "txt": "好好好,感觉可以跟着卡帕西干起来了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[40]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2haCO44lum8c3BJOna4eFXzy.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 325, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2haCO44lum8c3BJOna4eFXzy.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[41]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 46, "global_sentence_id": 64, "edu_l1_label": "EDU_O"}, {"txt": "参考链接:", "language": "chinese", "position": {"atoms": [{"position_id": 443, "txt": "参考链接:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[42]"}]}, "tags": [], "label": "reference", "web_segment_id": 47, "global_sentence_id": 65, "edu_l1_label": "EDU_O"}, {"txt": "https://x.com/karpathy/status/1903891179370123559", "language": "chinese", "position": {"atoms": [{"position_id": 444, "txt": "https://x.com/karpathy/status/1903891179370123559", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[42]"}]}, "tags": [], "label": "reference", "web_segment_id": 47, "global_sentence_id": 66, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 大神卡帕西亲自演绎零基础开发APP,ChatGPT四轮对话搞定,一小时即在手机运行 ## 卡帕西:我用ChatGPT编写了iOS应用
755b67ad-df4d-4137-b18f-f0b5a5f1c120
web
test/raw_web_htmls/755b67ad-df4d-4137-b18f-f0b5a5f1c120.html
https://mp.weixin.qq.com/s/Ja3QiczRyC5ENiZxwuyK6g
{"entry_id": "755b67ad-df4d-4137-b18f-f0b5a5f1c120", "infos": [{"txt": "全球化UI设计|全网最全小语种出海产品设计干货", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "全球化UI设计|全网最全小语种出海产品设计干货", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": " 全球化UI设计|全网最全小语种出海产品设计干货 ", "language": "chinese", "position": {"atoms": [{"position_id": 526, "txt": "\n \n全球化UI设计|全网最全小语种出海产品设计干货\n ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "本文授权转自:", "language": "chinese", "position": {"atoms": [{"position_id": 528, "txt": "本", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[1]/span[1]/span"}, {"position_id": 530, "txt": "文授权转自:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[1]/span[2]/span[1]"}]}, "tags": [], "label": "source", "web_segment_id": 39, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "Clip设计夹 ID:", "language": "chinese", "position": {"atoms": [{"position_id": 531, "txt": "Clip设计夹 ID:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[1]/span[2]/span[1]"}]}, "tags": [], "label": "source", "web_segment_id": 39, "global_sentence_id": 3, "edu_l1_label": "EDU_O"}, {"txt": "(ClipppDesign)", "language": "chinese", "position": {"atoms": [{"position_id": 532, "txt": "(", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[1]/span[2]/span[1]"}, {"position_id": 534, "txt": "ClipppDesign)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[1]/span[2]/span[2]"}]}, "tags": [], "label": "source", "web_segment_id": 39, "global_sentence_id": 4, "edu_l1_label": "EDU_O"}, {"txt": "随着TikTok的海外关注度和影响力逐渐扩展、小红书在海外友人的媒体圈炙手可热,国内的互联网市场逐渐趋于饱和,互联网产品纷纷向东南亚、非洲、拉丁美洲、欧洲扩展商业版图,这也为UI设计师创造了新的机遇。", "language": "chinese", "position": {"atoms": [{"position_id": 536, "txt": "随着TikTok的海外关注度和影响力逐渐扩展、小红书在海外友人的媒体圈炙手可热,国内的互联网市场逐渐趋于饱和,互联网产品纷纷向东南亚、非洲、拉丁美洲、欧洲扩展商业版图,这也为UI设计师创造了新的机遇。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[2]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 5, "edu_l1_label": "BOS"}, {"txt": "对于出海产品而言,UI设计师需要有基础的语言文化了解,在此基础上去进行设计才能真正满足海外用户的需求,本文主要从UI的文字、图标、色彩等几个角度来拆解设计师在设计海外项目时需要注意的关键点,避免因为文化习俗差异而影响产品的易用性。", "language": "chinese", "position": {"atoms": [{"position_id": 538, "txt": "对于出海产品而言,UI设计师需要有基础的", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[3]/span/span[1]"}, {"position_id": 540, "txt": "语言文化了解", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[3]/span/span[2]"}, {"position_id": 542, "txt": ",在此基础上去进行设计才能真正满足海外用户的需求,本文主要从UI的", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[3]/span/span[3]"}, {"position_id": 544, "txt": "文字、图标、色彩", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[3]/span/span[4]"}, {"position_id": 546, "txt": "等几个角度来拆解设计师在设计海外项目时需要注意的关键点,避免因为文化习俗差异而影响产品的易用性。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[3]/span/span[5]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 6, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4AA7KZ1uw3Z12uoibV1sPnmw.png", "language": "chinese", "position": {"atoms": [{"position_id": 81, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4AA7KZ1uw3Z12uoibV1sPnmw.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[1]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 42, "global_sentence_id": 7, "edu_l1_label": "EDU_O"}, {"txt": "目录:", "language": "chinese", "position": {"atoms": [{"position_id": 548, "txt": "目录:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[4]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 8, "edu_l1_label": "EDU_O"}, {"txt": "1.小语种文字:", "language": "chinese", "position": {"atoms": [{"position_id": 550, "txt": "1.小语种文字:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[5]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 9, "edu_l1_label": "EDU_O"}, {"txt": "超长文本的处理规则、镜像语言、小语种适配检视技巧", "language": "chinese", "position": {"atoms": [{"position_id": 551, "txt": "超长文本的处理规则、镜像语言、小语种适配检视技巧", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[5]/span/span"}]}, "tags": [], "label": "catalog", "web_segment_id": 44, "global_sentence_id": 10, "edu_l1_label": "EDU_O"}, {"txt": "2.图标:", "language": "chinese", "position": {"atoms": [{"position_id": 553, "txt": "2.图标:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[6]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 11, "edu_l1_label": "EDU_O"}, {"txt": "需要镜像的典型图标、不需要镜像的典型图标、图标特例", "language": "chinese", "position": {"atoms": [{"position_id": 554, "txt": "需要镜像的典型图标、不需要镜像的典型图标、图标特例", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[6]/span/span"}]}, "tags": [], "label": "catalog", "web_segment_id": 45, "global_sentence_id": 12, "edu_l1_label": "EDU_O"}, {"txt": "3.颜色", "language": "chinese", "position": {"atoms": [{"position_id": 556, "txt": "3.颜色", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[7]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 13, "edu_l1_label": "EDU_O"}, {"txt": "4.图案:", "language": "chinese", "position": {"atoms": [{"position_id": 558, "txt": "4.图案:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[8]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 14, "edu_l1_label": "EDU_O"}, {"txt": "禁忌图标、禁忌手势、禁忌物品、禁忌动物", "language": "chinese", "position": {"atoms": [{"position_id": 559, "txt": "禁忌图标、禁忌手势、禁忌物品、禁忌动物", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[8]/span/span"}]}, "tags": [], "label": "catalog", "web_segment_id": 47, "global_sentence_id": 15, "edu_l1_label": "EDU_O"}, {"txt": "5.交互手势", "language": "chinese", "position": {"atoms": [{"position_id": 561, "txt": "5.交互手势", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[9]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 16, "edu_l1_label": "EDU_O"}, {"txt": "小语种文字", "language": "chinese", "position": {"atoms": [{"position_id": 563, "txt": "小语种文字", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[10]/span[3]/strong/span/span/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 49, "global_sentence_id": 17, "edu_l1_label": "BOS"}, {"txt": "① 超长文本的处理规则", "language": "chinese", "position": {"atoms": [{"position_id": 565, "txt": "① 超长文本的处理规则", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[11]/span/span"}]}, "tags": [], "label": "title2", "web_segment_id": 50, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "当在某些语种下出现界面用语超长显示不完整的情况,应按照如下优先级进行处理:", "language": "chinese", "position": {"atoms": [{"position_id": 567, "txt": "当在某些语种下出现界面用语超长显示不完整的情况,应按照如下优先级进行处理:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[12]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "(1)精简界面用语", "language": "chinese", "position": {"atoms": [{"position_id": 569, "txt": "(1)精简界面用语", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[13]/span/span"}]}, "tags": [], "label": "title3", "web_segment_id": 52, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "在保证可理解的前提下,考虑对该语言的翻译进一步精简,采用其他较短的近义词或者精简表达,如“save number”在界面用语超长时应精简为“save”。", "language": "chinese", "position": {"atoms": [{"position_id": 571, "txt": "在保证可理解的前提下,考虑对该语言的翻译进一步精简,采用其他较短的近义词或者精简表达,如“save number”在界面用语超长时应精简为“save”。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[14]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "(2)动态布局", "language": "chinese", "position": {"atoms": [{"position_id": 573, "txt": "(2)动态布局", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[15]/span/span"}]}, "tags": [], "label": "title3", "web_segment_id": 54, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "当控件周围没有其他控件冲突时,控件可根据界面用语长度动态扩展,如按钮。", "language": "chinese", "position": {"atoms": [{"position_id": 575, "txt": "当控件周围没有其他控件冲突时,控件可根据界面用语长度动态扩展,如按钮。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[16]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "(3)缩小文字", "language": "chinese", "position": {"atoms": [{"position_id": 577, "txt": "(3)缩小文字", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[17]/span/span"}]}, "tags": [], "label": "title3", "web_segment_id": 56, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "将文本逐级缩小,建议最小缩小到18sp/dp。", "language": "chinese", "position": {"atoms": [{"position_id": 579, "txt": "将文本逐级缩小,建议最小缩小到18sp/dp。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[18]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "⚠️并列的层级关系,文本超长时所有文字需要同时缩小字号", "language": "chinese", "position": {"atoms": [{"position_id": 581, "txt": "⚠️并列的层级关系,文本超长时所有文字需要同时缩小字号", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[19]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "(4)多行显示", "language": "chinese", "position": {"atoms": [{"position_id": 583, "txt": "(4)多行显示", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[20]/span/span"}]}, "tags": [], "label": "title3", "web_segment_id": 59, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "在设计中文时,提前考虑预留小语种换行空间,⚠️按音节换行。", "language": "chinese", "position": {"atoms": [{"position_id": 585, "txt": "在设计中文时,提前考虑预留小语种换行空间,⚠️按音节换行。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[21]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/47UtYHwaA6N2kIo5k28HsHA.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 146, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/47UtYHwaA6N2kIo5k28HsHA.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[2]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 61, "global_sentence_id": 29, "edu_l1_label": "EDU_O"}, {"txt": "(5)跑马灯", "language": "chinese", "position": {"atoms": [{"position_id": 587, "txt": "(5)跑马灯", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[22]/span/span"}]}, "tags": [], "label": "title3", "web_segment_id": 62, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "避免同意界面使用过多的跑马灯,1-3个为宜。", "language": "chinese", "position": {"atoms": [{"position_id": 589, "txt": "避免同意界面使用过多的跑马灯,1-3个为宜。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[23]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "过多的跑马灯会分散用户注意力,界面显示混乱。", "language": "chinese", "position": {"atoms": [{"position_id": 590, "txt": "过多的跑马灯会分散用户注意力,界面显示混乱。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[23]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "跑马灯占用系统资源,影响性能,过多的跑马灯可能会导致卡顿。", "language": "chinese", "position": {"atoms": [{"position_id": 591, "txt": "跑马灯占用系统资源,影响性能,过多的跑马灯可能会导致卡顿。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[23]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "(6)打点截断", "language": "chinese", "position": {"atoms": [{"position_id": 593, "txt": "(6)打点截断", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[24]/span/span"}]}, "tags": [], "label": "title3", "web_segment_id": 64, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "显示不下到文字截断显示并在末尾增加“…”", "language": "chinese", "position": {"atoms": [{"position_id": 595, "txt": "显示不下到文字截断显示并在末尾增加“…”", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[25]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "截断的使用场景:", "language": "chinese", "position": {"atoms": [{"position_id": 597, "txt": "截断的使用场景:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[26]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 66, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "A.用户自定义内容,如文件名,相册名", "language": "chinese", "position": {"atoms": [{"position_id": 599, "txt": "A.用户自定义内容,如文件名,相册名", "x": 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"global_sentence_id": 119, "edu_l1_label": "EDU_O"}, {"txt": "想要收获最新鲜的设计资讯吗?", "language": "chinese", "position": {"atoms": [{"position_id": 731, "txt": "想要收获最新鲜的设计资讯吗?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[15]/pre/pre/section[3]/pre/section/section/pre/section/section/section/section/section/section/span/span"}]}, "tags": [], "label": "O", "web_segment_id": 131, "global_sentence_id": 120, "edu_l1_label": "EDU_O"}, {"txt": "想要抢先参与活动福利吗?", "language": "chinese", "position": {"atoms": [{"position_id": 733, "txt": "想要抢先参与活动福利吗?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[15]/pre/pre/section[4]/section/pre/section/section/section/section/pre/section/section[1]/section/section/pre/section/span/span"}]}, "tags": [], "label": "O", "web_segment_id": 132, "global_sentence_id": 121, "edu_l1_label": "EDU_O"}, {"txt": "扫描下方二维码进群!", "language": "chinese", "position": {"atoms": [{"position_id": 735, "txt": "扫描下方二维码进群!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[15]/pre/pre/section[4]/section/pre/section/section/section/section/pre/section/section[2]/span/span"}]}, "tags": [], "label": "O", "web_segment_id": 133, "global_sentence_id": 122, "edu_l1_label": "EDU_O"}, {"txt": "▼", "language": "chinese", "position": {"atoms": [{"position_id": 737, "txt": "▼", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[15]/pre/pre/section[4]/section/pre/section/section/section/section/pre/section/section[3]/span/span"}]}, "tags": [], "label": "O", "web_segment_id": 134, "global_sentence_id": 123, "edu_l1_label": "EDU_O"}, {"txt": "<img https://mmbiz.qpic.cn/mmbiz_png/XJhfAXYemVeZmwticWhXukDrAIPx8E5JBlQwWr1r7cza6zwYHUBNuia4Ze17GmZxfny7RudLR7iar31S4WjtVlPdg/640?wx_fmt=other&wxfrom=5&wx_lazy=1&wx_co=1&tp=webp", "language": "chinese", "position": {"atoms": [{"position_id": 470, "txt": "<img https://mmbiz.qpic.cn/mmbiz_png/XJhfAXYemVeZmwticWhXukDrAIPx8E5JBlQwWr1r7cza6zwYHUBNuia4Ze17GmZxfny7RudLR7iar31S4WjtVlPdg/640?wx_fmt=other&wxfrom=5&wx_lazy=1&wx_co=1&tp=webp", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[15]/pre/pre/pre/section[1]/img"}]}, "tags": ["img"], "label": "O", "web_segment_id": 135, "global_sentence_id": 124, "edu_l1_label": "EDU_O"}, {"txt": "喜欢,给我一个“在看”哦~", "language": "chinese", "position": {"atoms": [{"position_id": 739, "txt": "喜欢", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[15]/pre/pre/pre/section[2]/span/strong/strong[1]/span"}, {"position_id": 741, "txt": ",给我一个“在看”哦~", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[15]/pre/pre/pre/section[2]/span/strong/strong[2]/span"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 136, "global_sentence_id": 125, "edu_l1_label": "EDU_O"}, {"txt": "👇", "language": "chinese", "position": {"atoms": [{"position_id": 743, "txt": "👇", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[15]/pre/pre/pre/section[3]/span/strong/span/span"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 137, "global_sentence_id": 126, "edu_l1_label": "EDU_O"}, {"txt": " 美啊设计平台 ", "language": "chinese", "position": {"atoms": [{"position_id": 745, "txt": "\n 美啊设计平台 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 155, "global_sentence_id": 127, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 全球化UI设计|全网最全小语种出海产品设计干货 ## 小语种文字 ### ① 超长文本的处理规则 #### (1)精简界面用语 #### (2)动态布局 #### (3)缩小文字 #### (4)多行显示 #### (5)跑马灯 #### (6)打点截断 ### ② 镜像语言 ### ③ 小语种适配检视技巧 ## 图标 ### ① 需要镜像的典型图标 ### ② 不需要镜像的典型图标 ### ③ 图标特例 ## 色彩 ## 图案 ### 禁忌手势 ### 禁忌物品 ### 禁忌动物 ## 交互式手势 ## 结语
64159fe5-2c4c-4fc3-965c-9856cc912105
web
test/raw_web_htmls/64159fe5-2c4c-4fc3-965c-9856cc912105.html
https://docs.plasmo.com/framework/storage
{"entry_id": "64159fe5-2c4c-4fc3-965c-9856cc912105", "infos": [{"txt": "Storage API", "language": "english", "position": {"atoms": [{"position_id": 0, "txt": "Storage API", "x": "//title"}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": "Framework", "language": "english", "position": {"atoms": [{"position_id": 878, "txt": "Framework", "x": "/html/body/div/div/div[2]/article/main/div[1]/div[1]"}]}, "tags": [], "label": "O", "web_segment_id": 1, "global_sentence_id": 1, "edu_l1_label": "EDU_O"}, {"txt": "Storage", "language": "english", "position": {"atoms": [{"position_id": 880, "txt": "Storage", "x": "/html/body/div/div/div[2]/article/main/div[1]/div[2]"}]}, "tags": [], "label": "O", "web_segment_id": 2, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "Storage API", "language": "english", "position": {"atoms": [{"position_id": 882, "txt": "Storage API", "x": "/html/body/div/div/div[2]/article/main/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 3, "global_sentence_id": 3, "edu_l1_label": "BOT"}, {"txt": "@plasmohq/storage is a utility library from plasmo (opens in a new tab) that abstracts the persistent storage API available to browser extensions.", "language": "english", "position": {"atoms": [{"position_id": 884, "txt": "@plasmohq/storage", "x": "/html/body/div/div/div[2]/article/main/p[1]/code"}, {"position_id": 886, "txt": " is a utility library from ", "x": "/html/body/div/div/div[2]/article/main/p[1]/code"}, {"position_id": 888, "txt": "plasmo", "x": "/html/body/div/div/div[2]/article/main/p[1]/a"}, {"position_id": 890, "txt": " (opens in a new tab)", "x": "/html/body/div/div/div[2]/article/main/p[1]/a/span"}, {"position_id": 892, "txt": " that abstracts the persistent storage API available to browser extensions.", "x": "/html/body/div/div/div[2]/article/main/p[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 4, "edu_l1_label": "BOS"}, {"txt": " It falls back to localStorage when the extension storage API is unavailable, allowing for state sync between extension pages, content scripts, background service workers and web pages.", "language": "english", "position": {"atoms": [{"position_id": 893, "txt": " It falls back to localStorage when the extension storage API is unavailable, allowing for state sync between extension pages, content scripts, background service workers and web pages.", "x": "/html/body/div/div/div[2]/article/main/p[1]/a"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 5, "edu_l1_label": "IOS"}, {"txt": "This library will enable the storage permission automatically if used as a dependencies in a Plasmo framework (opens in a new tab) project", "language": "english", "position": {"atoms": [{"position_id": 895, "txt": "This library will enable the ", "x": "/html/body/div/div/div[2]/article/main/blockquote[1]/p"}, {"position_id": 897, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/blockquote[1]/p/code"}, {"position_id": 899, "txt": " permission automatically if used as a ", "x": "/html/body/div/div/div[2]/article/main/blockquote[1]/p/code"}, {"position_id": 901, "txt": "dependencies", "x": "/html/body/div/div/div[2]/article/main/blockquote[1]/p/strong"}, {"position_id": 903, "txt": " in a ", "x": "/html/body/div/div/div[2]/article/main/blockquote[1]/p/strong"}, {"position_id": 905, "txt": "Plasmo framework", "x": "/html/body/div/div/div[2]/article/main/blockquote[1]/p/a"}, {"position_id": 907, "txt": " (opens in a new tab)", "x": "/html/body/div/div/div[2]/article/main/blockquote[1]/p/a/span"}, {"position_id": 909, "txt": " project", "x": "/html/body/div/div/div[2]/article/main/blockquote[1]/p/a"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 5, "global_sentence_id": 6, "edu_l1_label": "IOS"}, {"txt": "Installation", "language": "english", "position": {"atoms": [{"position_id": 911, "txt": "Installation", "x": "/html/body/div/div/div[2]/article/main/h2[1]"}]}, "tags": ["h2"], "label": "content", "web_segment_id": 6, "global_sentence_id": 7, "edu_l1_label": "BOS"}, {"txt": "pnpm install@plasmohq/storage", "language": "english", "position": {"atoms": [{"position_id": 913, "txt": "pnpm ", "x": "/html/body/div/div/div[2]/article/main/div[2]/pre/code/span/span[1]"}, {"position_id": 915, "txt": "install", "x": "/html/body/div/div/div[2]/article/main/div[2]/pre/code/span/span[2]"}, {"position_id": 917, "txt": "@plasmohq/storage", "x": "/html/body/div/div/div[2]/article/main/div[2]/pre/code/span/span[4]"}]}, "tags": [], "label": "code", "web_segment_id": 7, "global_sentence_id": 8, "edu_l1_label": "EDU_O"}, {"txt": "The package exports the following modules, in both ESM and CJS format:", "language": "english", "position": {"atoms": [{"position_id": 919, "txt": "The package exports the following modules, in both ESM and CJS format:", "x": "/html/body/div/div/div[2]/article/main/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "<table <table class=\"nx-block nx-overflow-x-scroll nextra-scrollbar nx-mt-6 nx-p-0 first:nx-mt-0\" position_id=\"79\"><thead position_id=\"80\"><tr class=\"nx-m-0 nx-border-t nx-border-gray-300 nx-p-0 dark:nx-border-gray-600 even:nx-bg-gray-100 even:dark:nx-bg-gray-600/20\" position_id=\"81\"><th class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 nx-font-semibold dark:nx-border-gray-600\" align=\"left\" position_id=\"82\">Modules</th><th class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 nx-font-semibold dark:nx-border-gray-600\" align=\"left\" position_id=\"83\">Description</th></tr></thead><tbody position_id=\"84\"><tr class=\"nx-m-0 nx-border-t nx-border-gray-300 nx-p-0 dark:nx-border-gray-600 even:nx-bg-gray-100 even:dark:nx-bg-gray-600/20\" position_id=\"85\"><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"86\"><code class=\"nx-border-black nx-border-opacity-[0.04] nx-bg-opacity-[0.03] nx-bg-black nx-break-words nx-rounded-md nx-border nx-py-0.5 nx-px-[.25em] nx-text-[.9em] dark:nx-border-white/10 dark:nx-bg-white/10\" dir=\"ltr\" position_id=\"87\">@plasmohq/storage</code></td><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"88\">The base <a class=\"nx-text-primary-600 nx-underline nx-decoration-from-font [text-underline-position:from-font]\" href=\"/framework/storage#storage\" position_id=\"89\">Storage API</a></td></tr><tr class=\"nx-m-0 nx-border-t nx-border-gray-300 nx-p-0 dark:nx-border-gray-600 even:nx-bg-gray-100 even:dark:nx-bg-gray-600/20\" position_id=\"90\"><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"91\"><code class=\"nx-border-black nx-border-opacity-[0.04] nx-bg-opacity-[0.03] nx-bg-black nx-break-words nx-rounded-md nx-border nx-py-0.5 nx-px-[.25em] nx-text-[.9em] dark:nx-border-white/10 dark:nx-bg-white/10\" dir=\"ltr\" position_id=\"92\">@plasmohq/storage/secure</code></td><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"93\">The <a class=\"nx-text-primary-600 nx-underline nx-decoration-from-font [text-underline-position:from-font]\" href=\"/framework/storage#secure-storage\" position_id=\"94\">SecureStorage API</a></td></tr><tr class=\"nx-m-0 nx-border-t nx-border-gray-300 nx-p-0 dark:nx-border-gray-600 even:nx-bg-gray-100 even:dark:nx-bg-gray-600/20\" position_id=\"95\"><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"96\"><code class=\"nx-border-black nx-border-opacity-[0.04] nx-bg-opacity-[0.03] nx-bg-black nx-break-words nx-rounded-md nx-border nx-py-0.5 nx-px-[.25em] nx-text-[.9em] dark:nx-border-white/10 dark:nx-bg-white/10\" dir=\"ltr\" position_id=\"97\">@plasmohq/storage/hook</code></td><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"98\">The <a class=\"nx-text-primary-600 nx-underline nx-decoration-from-font [text-underline-position:from-font]\" href=\"/framework/storage#react-hook-api\" position_id=\"99\">React Hook Storage API</a></td></tr></tbody></table>", "language": "english", "position": {"atoms": [{"position_id": 79, "txt": "<table <table class=\"nx-block nx-overflow-x-scroll nextra-scrollbar nx-mt-6 nx-p-0 first:nx-mt-0\" position_id=\"79\"><thead position_id=\"80\"><tr class=\"nx-m-0 nx-border-t nx-border-gray-300 nx-p-0 dark:nx-border-gray-600 even:nx-bg-gray-100 even:dark:nx-bg-gray-600/20\" position_id=\"81\"><th class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 nx-font-semibold dark:nx-border-gray-600\" align=\"left\" position_id=\"82\">Modules</th><th class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 nx-font-semibold dark:nx-border-gray-600\" align=\"left\" position_id=\"83\">Description</th></tr></thead><tbody position_id=\"84\"><tr class=\"nx-m-0 nx-border-t nx-border-gray-300 nx-p-0 dark:nx-border-gray-600 even:nx-bg-gray-100 even:dark:nx-bg-gray-600/20\" position_id=\"85\"><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"86\"><code class=\"nx-border-black nx-border-opacity-[0.04] nx-bg-opacity-[0.03] nx-bg-black nx-break-words nx-rounded-md nx-border nx-py-0.5 nx-px-[.25em] nx-text-[.9em] dark:nx-border-white/10 dark:nx-bg-white/10\" dir=\"ltr\" position_id=\"87\">@plasmohq/storage</code></td><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"88\">The base <a class=\"nx-text-primary-600 nx-underline nx-decoration-from-font [text-underline-position:from-font]\" href=\"/framework/storage#storage\" position_id=\"89\">Storage API</a></td></tr><tr class=\"nx-m-0 nx-border-t nx-border-gray-300 nx-p-0 dark:nx-border-gray-600 even:nx-bg-gray-100 even:dark:nx-bg-gray-600/20\" position_id=\"90\"><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"91\"><code class=\"nx-border-black nx-border-opacity-[0.04] nx-bg-opacity-[0.03] nx-bg-black nx-break-words nx-rounded-md nx-border nx-py-0.5 nx-px-[.25em] nx-text-[.9em] dark:nx-border-white/10 dark:nx-bg-white/10\" dir=\"ltr\" position_id=\"92\">@plasmohq/storage/secure</code></td><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"93\">The <a class=\"nx-text-primary-600 nx-underline nx-decoration-from-font [text-underline-position:from-font]\" href=\"/framework/storage#secure-storage\" position_id=\"94\">SecureStorage API</a></td></tr><tr class=\"nx-m-0 nx-border-t nx-border-gray-300 nx-p-0 dark:nx-border-gray-600 even:nx-bg-gray-100 even:dark:nx-bg-gray-600/20\" position_id=\"95\"><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"96\"><code class=\"nx-border-black nx-border-opacity-[0.04] nx-bg-opacity-[0.03] nx-bg-black nx-break-words nx-rounded-md nx-border nx-py-0.5 nx-px-[.25em] nx-text-[.9em] dark:nx-border-white/10 dark:nx-bg-white/10\" dir=\"ltr\" position_id=\"97\">@plasmohq/storage/hook</code></td><td class=\"nx-m-0 nx-border nx-border-gray-300 nx-px-4 nx-py-2 dark:nx-border-gray-600\" align=\"left\" position_id=\"98\">The <a class=\"nx-text-primary-600 nx-underline nx-decoration-from-font [text-underline-position:from-font]\" href=\"/framework/storage#react-hook-api\" position_id=\"99\">React Hook Storage API</a></td></tr></tbody></table>", "x": "/html/body/div/div/div[2]/article/main/table"}]}, "tags": ["table"], "label": "table", "web_segment_id": 9, "global_sentence_id": 10, "edu_l1_label": "EDU_O"}, {"txt": "Usage Examples", "language": "english", "position": {"atoms": [{"position_id": 921, "txt": "Usage Examples", "x": "/html/body/div/div/div[2]/article/main/h2[2]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 10, "global_sentence_id": 11, "edu_l1_label": "BOS"}, {"txt": "See with-storage (opens in a new tab) for an example of how to use this library to sync state between options and popups.", "language": "english", "position": {"atoms": [{"position_id": 923, "txt": "See ", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[1]"}, {"position_id": 925, "txt": "with-storage", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[1]/a"}, {"position_id": 927, "txt": " (opens in a new tab)", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[1]/a/span"}, {"position_id": 929, "txt": " for an example of how to use this library to sync state between options and popups.", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[1]/a"}]}, "tags": ["li"], "label": "content", "web_segment_id": 11, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "See with-redux (opens in a new tab) for an example of how to use this library as your Redux persistent layer (crucial for MV3).", "language": "english", "position": {"atoms": [{"position_id": 931, "txt": "See ", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[2]"}, {"position_id": 933, "txt": "with-redux", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[2]/a"}, {"position_id": 935, "txt": " (opens in a new tab)", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[2]/a/span"}, {"position_id": 937, "txt": " for an example of how to use this library as your Redux persistent layer (crucial for MV3).", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[2]/a"}]}, "tags": ["li"], "label": "content", "web_segment_id": 12, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "See MICE (opens in a new tab) for an experimental use case of this library integrated with WebRTC to pipe messages between browsers via an extension.", "language": "english", "position": {"atoms": [{"position_id": 939, "txt": "See ", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[3]"}, {"position_id": 941, "txt": "MICE", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[3]/a"}, {"position_id": 943, "txt": " (opens in a new tab)", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[3]/a/span"}, {"position_id": 945, "txt": " for an experimental use case of this library integrated with WebRTC to pipe messages between browsers via an extension.", "x": "/html/body/div/div/div[2]/article/main/ul[1]/li[3]/a"}]}, "tags": ["li"], "label": "content", "web_segment_id": 13, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "Storage", "language": "english", "position": {"atoms": [{"position_id": 947, "txt": "Storage", "x": "/html/body/div/div/div[2]/article/main/h2[3]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 14, "global_sentence_id": 15, "edu_l1_label": "BOS"}, {"txt": "The base Storage API is designed to be easy to use.", "language": "english", "position": {"atoms": [{"position_id": 949, "txt": "The base Storage API is designed to be easy to use.", "x": "/html/body/div/div/div[2]/article/main/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": " It is usable in every extension runtime such as background service workers, content scripts and extension pages.", "language": "english", "position": {"atoms": [{"position_id": 950, "txt": " It is usable in every extension runtime such as background service workers, content scripts and extension pages.", "x": "/html/body/div/div/div[2]/article/main/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "Get/set data without the need to JSON.stringify/parse.", "language": "english", "position": {"atoms": [{"position_id": 952, "txt": "Get/set data without the need to JSON.stringify/parse.", "x": "/html/body/div/div/div[2]/article/main/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": " As long as the data you are storing is serializable (plain object or of primitive type), it can be stored:", "language": "english", "position": {"atoms": [{"position_id": 953, "txt": " As long as the data you are storing is serializable (plain object or of primitive type), it can be stored:", "x": "/html/body/div/div/div[2]/article/main/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "import { Storage } from\"@plasmohq/storage\"conststorage=newStorage()awaitstorage.set(\"key\",\"value\")constdata=awaitstorage.get(\"key\") // \"value\"awaitstorage.set(\"capt\", { color:\"", "language": "english", "position": {"atoms": [{"position_id": 955, "txt": "import", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[1]/span[1]"}, {"position_id": 957, "txt": " { Storage } ", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[1]/span[2]"}, {"position_id": 959, "txt": "from", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[1]/span[3]"}, {"position_id": 961, "txt": "\"@plasmohq/storage\"", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[1]/span[5]"}, {"position_id": 963, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[3]/span[1]"}, {"position_id": 965, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[3]/span[3]"}, {"position_id": 967, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[3]/span[5]"}, {"position_id": 969, "txt": "new", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[3]/span[7]"}, {"position_id": 971, "txt": "Storage", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[3]/span[9]"}, {"position_id": 973, "txt": "()", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[3]/span[10]"}, {"position_id": 975, "txt": "await", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[5]/span[1]"}, {"position_id": 977, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[5]/span[3]"}, {"position_id": 979, "txt": ".set", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[5]/span[4]"}, {"position_id": 981, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[5]/span[5]"}, {"position_id": 983, "txt": "\"key\"", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[5]/span[6]"}, {"position_id": 985, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[5]/span[7]"}, {"position_id": 987, "txt": "\"value\"", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[5]/span[9]"}, {"position_id": 989, "txt": ")", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[5]/span[10]"}, {"position_id": 991, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[6]/span[1]"}, {"position_id": 993, "txt": "data", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[6]/span[3]"}, {"position_id": 995, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[6]/span[5]"}, {"position_id": 997, "txt": "await", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[6]/span[7]"}, {"position_id": 999, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[6]/span[9]"}, {"position_id": 1001, "txt": ".get", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[6]/span[10]"}, {"position_id": 1003, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[6]/span[11]"}, {"position_id": 1005, "txt": "\"key\"", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[6]/span[12]"}, {"position_id": 1007, "txt": ") ", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[6]/span[13]"}, {"position_id": 1009, "txt": "// \"value\"", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[6]/span[14]"}, {"position_id": 1011, "txt": "await", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[1]"}, {"position_id": 1013, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[3]"}, {"position_id": 1015, "txt": ".set", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[4]"}, {"position_id": 1017, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[5]"}, {"position_id": 1019, "txt": "\"capt\"", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[6]"}, {"position_id": 1021, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[7]"}, {"position_id": 1023, "txt": " { color", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[8]"}, {"position_id": 1025, "txt": ":", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[9]"}, {"position_id": 1027, "txt": "\"", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[11]"}]}, "tags": [], "label": "code", "web_segment_id": 17, "global_sentence_id": 20, "edu_l1_label": "EDU_O"}, {"txt": "red\" })constdata2=awaitstorage.get(\"capt\") // { color: \"", "language": "english", "position": {"atoms": [{"position_id": 1028, "txt": "red\"", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[11]"}, {"position_id": 1030, "txt": " })", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[8]/span[12]"}, {"position_id": 1032, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[1]"}, {"position_id": 1034, "txt": "data2", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[3]"}, {"position_id": 1036, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[5]"}, {"position_id": 1038, "txt": "await", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[7]"}, {"position_id": 1040, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[9]"}, {"position_id": 1042, "txt": ".get", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[10]"}, {"position_id": 1044, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[11]"}, {"position_id": 1046, "txt": "\"capt\"", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[12]"}, {"position_id": 1048, "txt": ") ", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[13]"}, {"position_id": 1050, "txt": "// { color: \"", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[14]"}]}, "tags": [], "label": "code", "web_segment_id": 17, "global_sentence_id": 21, "edu_l1_label": "EDU_O"}, {"txt": "red\" }", "language": "english", "position": {"atoms": [{"position_id": 1051, "txt": "red\" }", "x": "/html/body/div/div/div[2]/article/main/div[3]/pre/code/span[9]/span[14]"}]}, "tags": [], "label": "code", "web_segment_id": 17, "global_sentence_id": 22, "edu_l1_label": "EDU_O"}, {"txt": "Customizing the storage area", "language": "english", "position": {"atoms": [{"position_id": 1053, "txt": "Customizing the storage area", "x": "/html/body/div/div/div[2]/article/main/h3[1]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 18, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "The storage area defaults to \"sync\", which means the data is synced across all instances of Chrome where the user is logged in.", "language": "english", "position": {"atoms": [{"position_id": 1055, "txt": "The storage area defaults to \"sync\", which means the data is synced across all instances of Chrome where the user is logged in.", "x": "/html/body/div/div/div[2]/article/main/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "You can see all of the other possible scopes Plasmo supports in the Chrome Storage API documentation (opens in a new tab).", "language": "english", "position": {"atoms": [{"position_id": 1057, "txt": "You can see all of the other possible scopes Plasmo supports in the ", "x": "/html/body/div/div/div[2]/article/main/p[6]"}, {"position_id": 1059, "txt": "Chrome Storage API documentation", "x": "/html/body/div/div/div[2]/article/main/p[6]/a"}, {"position_id": 1061, "txt": " (opens in a new tab)", "x": "/html/body/div/div/div[2]/article/main/p[6]/a/span"}, {"position_id": 1063, "txt": ".", "x": "/html/body/div/div/div[2]/article/main/p[6]/a"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "conststorage=newStorage({ area:\"", "language": "english", "position": {"atoms": [{"position_id": 1065, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[1]/span[1]"}, {"position_id": 1067, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[1]/span[3]"}, {"position_id": 1069, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[1]/span[5]"}, {"position_id": 1071, "txt": "new", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[1]/span[7]"}, {"position_id": 1073, "txt": "Storage", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[1]/span[9]"}, {"position_id": 1075, "txt": "({", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[1]/span[10]"}, {"position_id": 1077, "txt": " area", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[2]/span[1]"}, {"position_id": 1079, "txt": ":", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[2]/span[2]"}, {"position_id": 1081, "txt": "\"", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[2]/span[4]"}]}, "tags": [], "label": "code", "web_segment_id": 21, "global_sentence_id": 26, "edu_l1_label": "EDU_O"}, {"txt": "local\"})", "language": "english", "position": {"atoms": [{"position_id": 1082, "txt": "local\"", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[2]/span[4]"}, {"position_id": 1084, "txt": "})", "x": "/html/body/div/div/div[2]/article/main/div[4]/pre/code/span[3]/span"}]}, "tags": [], "label": "code", "web_segment_id": 21, "global_sentence_id": 27, "edu_l1_label": "EDU_O"}, {"txt": "Automatically copy data to localStorage", "language": "english", "position": {"atoms": [{"position_id": 1086, "txt": "Automatically copy data to localStorage", "x": "/html/body/div/div/div[2]/article/main/h3[2]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 22, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "conststorage=newStorage({ copiedKeyList:", "language": "english", "position": {"atoms": [{"position_id": 1088, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[1]/span[1]"}, {"position_id": 1090, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[1]/span[3]"}, {"position_id": 1092, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[1]/span[5]"}, {"position_id": 1094, "txt": "new", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[1]/span[7]"}, {"position_id": 1096, "txt": "Storage", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[1]/span[9]"}, {"position_id": 1098, "txt": "({", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[1]/span[10]"}, {"position_id": 1100, "txt": " copiedKeyList", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[2]/span[1]"}, {"position_id": 1102, "txt": ":", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[2]/span[2]"}]}, "tags": [], "label": "code", "web_segment_id": 23, "global_sentence_id": 29, "edu_l1_label": "EDU_O"}, {"txt": " [\"shield-modulation\"]})", "language": "english", "position": {"atoms": [{"position_id": 1104, "txt": " [", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[2]/span[3]"}, {"position_id": 1106, "txt": "\"shield-modulation\"", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[2]/span[4]"}, {"position_id": 1108, "txt": "]", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[2]/span[5]"}, {"position_id": 1110, "txt": "})", "x": "/html/body/div/div/div[2]/article/main/div[5]/pre/code/span[3]/span"}]}, "tags": [], "label": "code", "web_segment_id": 23, "global_sentence_id": 30, "edu_l1_label": "EDU_O"}, {"txt": "The code above will copy the data to Web localStorage when used with content scripts or extension pages.", "language": "english", "position": {"atoms": [{"position_id": 1112, "txt": "The code above will copy the data to Web localStorage when used with content scripts or extension pages.", "x": "/html/body/div/div/div[2]/article/main/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "Watch (for state sync)", "language": "english", "position": {"atoms": [{"position_id": 1114, "txt": "Watch (for state sync)", "x": "/html/body/div/div/div[2]/article/main/h3[3]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 25, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "To watch for changes when using the Storage API:", "language": "english", "position": {"atoms": [{"position_id": 1116, "txt": "To watch for changes when using the Storage API:", "x": "/html/body/div/div/div[2]/article/main/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "background.ts", "language": "english", "position": {"atoms": [{"position_id": 1118, "txt": "background.ts", "x": "/html/body/div/div/div[2]/article/main/div[6]/div[1]"}]}, "tags": [], "label": "code", "web_segment_id": 27, "global_sentence_id": 34, "edu_l1_label": "EDU_O"}, {"txt": "import { Storage } from\"@plasmohq/storage\"conststorage=newStorage()awaitstorage.set(\"serial-number\",47)awaitstorage.set(\"make\",\"plasmo-corp\")storage.watch({\"serial-number\":", "language": "english", "position": {"atoms": [{"position_id": 1120, "txt": "import", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[1]/span[1]"}, {"position_id": 1122, "txt": " { Storage } ", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[1]/span[2]"}, {"position_id": 1124, "txt": "from", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[1]/span[3]"}, {"position_id": 1126, "txt": "\"@plasmohq/storage\"", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[1]/span[5]"}, {"position_id": 1128, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[3]/span[1]"}, {"position_id": 1130, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[3]/span[3]"}, {"position_id": 1132, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[3]/span[5]"}, {"position_id": 1134, "txt": "new", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[3]/span[7]"}, {"position_id": 1136, "txt": "Storage", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[3]/span[9]"}, {"position_id": 1138, "txt": "()", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[3]/span[10]"}, {"position_id": 1140, "txt": "await", "x": 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"/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[17]/span[4]"}, {"position_id": 1232, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[17]/span[5]"}, {"position_id": 1234, "txt": "\"serial-number\"", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[17]/span[6]"}, {"position_id": 1236, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[17]/span[7]"}, {"position_id": 1238, "txt": "96", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[17]/span[9]"}, {"position_id": 1240, "txt": ")", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[17]/span[10]"}, {"position_id": 1242, "txt": "await", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[18]/span[1]"}, {"position_id": 1244, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[18]/span[3]"}, {"position_id": 1246, "txt": ".set", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[18]/span[4]"}, {"position_id": 1248, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[18]/span[5]"}, {"position_id": 1250, "txt": "\"make\"", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[18]/span[6]"}, {"position_id": 1252, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[18]/span[7]"}, {"position_id": 1254, "txt": "\"PlasmoHQ\"", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[18]/span[9]"}, {"position_id": 1256, "txt": ")", "x": "/html/body/div/div/div[2]/article/main/div[6]/pre/code/span[18]/span[10]"}]}, "tags": [], "label": "code", "web_segment_id": 28, "global_sentence_id": 37, "edu_l1_label": "EDU_O"}, {"txt": "This can be used as a layer to communicate messages across your extension.", "language": "english", "position": {"atoms": [{"position_id": 1258, "txt": "This can be used as a layer to communicate messages across your extension.", "x": "/html/body/div/div/div[2]/article/main/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": " We demonstrate this in the with-redux (opens in a new tab) example.", "language": "english", "position": {"atoms": [{"position_id": 1259, "txt": " We demonstrate this in the ", "x": "/html/body/div/div/div[2]/article/main/p[9]"}, {"position_id": 1261, "txt": "with-redux", "x": "/html/body/div/div/div[2]/article/main/p[9]/a"}, {"position_id": 1263, "txt": " (opens in a new tab)", "x": "/html/body/div/div/div[2]/article/main/p[9]/a/span"}, {"position_id": 1265, "txt": " example.", "x": "/html/body/div/div/div[2]/article/main/p[9]/a"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "📢", "language": "english", "position": {"atoms": [{"position_id": 1267, "txt": "📢", "x": "/html/body/div/div/div[2]/article/main/div[7]/div[1]"}]}, "tags": [], "label": "O", "web_segment_id": 30, "global_sentence_id": 40, "edu_l1_label": "EDU_O"}, {"txt": "NOTE:", "language": "english", "position": {"atoms": [{"position_id": 1269, "txt": "NOTE:", "x": "/html/body/div/div/div[2]/article/main/div[7]/div[2]/p/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 31, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": " The Storage API is not available in a Content Script when it is executed in the 'MAIN' world, as it loses its access to the Chrome Extensions APIs.", "language": "english", "position": {"atoms": [{"position_id": 1271, "txt": " The Storage API is not available in a Content Script when it is executed in the 'MAIN' world, as it loses its access to the Chrome Extensions APIs.", "x": "/html/body/div/div/div[2]/article/main/div[7]/div[2]/p/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 31, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "Secure Storage", "language": "english", "position": {"atoms": [{"position_id": 1273, "txt": "Secure Storage", "x": "/html/body/div/div/div[2]/article/main/h2[4]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 32, "global_sentence_id": 43, "edu_l1_label": "BOS"}, {"txt": "The SecureStorage API extends Storage with data encryption and decryption for at-rest cold storage of sensitive keys.", "language": "english", "position": {"atoms": [{"position_id": 1275, "txt": "The SecureStorage API extends Storage with data encryption and decryption for at-rest cold storage of sensitive keys.", "x": "/html/body/div/div/div[2]/article/main/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": " It utilizes the Web Crypto SubtleCrypto API (opens in a new tab) which only works in secure contexts (HTTPS).", "language": "english", "position": {"atoms": [{"position_id": 1276, "txt": " It utilizes the ", "x": "/html/body/div/div/div[2]/article/main/p[10]"}, {"position_id": 1278, "txt": "Web Crypto ", "x": "/html/body/div/div/div[2]/article/main/p[10]/a"}, {"position_id": 1280, "txt": "SubtleCrypto", "x": "/html/body/div/div/div[2]/article/main/p[10]/a/code"}, {"position_id": 1282, "txt": " API", "x": "/html/body/div/div/div[2]/article/main/p[10]/a/code"}, {"position_id": 1284, "txt": " (opens in a new tab)", "x": "/html/body/div/div/div[2]/article/main/p[10]/a/span"}, {"position_id": 1286, "txt": " which only works in secure contexts (HTTPS).", "x": "/html/body/div/div/div[2]/article/main/p[10]/a"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "import { SecureStorage } from\"@plasmohq/storage/secure\"conststorage=newSecureStorage()awaitstorage.setPassword(\"roosevelt\") // The only diffawaitstorage.set(\"key\",\"value\")constdata=awaitstorage.get(\"key\") // \"value\"awaitstorage.set(\"capt\", { color:\"", "language": "english", "position": {"atoms": [{"position_id": 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"/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[8]/span[12]"}, {"position_id": 1354, "txt": ") ", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[8]/span[13]"}, {"position_id": 1356, "txt": "// \"value\"", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[8]/span[14]"}, {"position_id": 1358, "txt": "await", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[1]"}, {"position_id": 1360, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[3]"}, {"position_id": 1362, "txt": ".set", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[4]"}, {"position_id": 1364, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[5]"}, {"position_id": 1366, "txt": "\"capt\"", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[6]"}, {"position_id": 1368, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[7]"}, {"position_id": 1370, "txt": " { color", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[8]"}, {"position_id": 1372, "txt": ":", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[9]"}, {"position_id": 1374, "txt": "\"", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[11]"}]}, "tags": [], "label": "code", "web_segment_id": 34, "global_sentence_id": 46, "edu_l1_label": "EDU_O"}, {"txt": "red\" })constdata2=awaitstorage.get(\"capt\") // { color: \"", "language": "english", "position": {"atoms": [{"position_id": 1375, "txt": "red\"", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[11]"}, {"position_id": 1377, "txt": " })", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[10]/span[12]"}, {"position_id": 1379, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[1]"}, {"position_id": 1381, "txt": "data2", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[3]"}, {"position_id": 1383, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[5]"}, {"position_id": 1385, "txt": "await", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[7]"}, {"position_id": 1387, "txt": "storage", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[9]"}, {"position_id": 1389, "txt": ".get", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[10]"}, {"position_id": 1391, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[11]"}, {"position_id": 1393, "txt": "\"capt\"", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[12]"}, {"position_id": 1395, "txt": ") ", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[13]"}, {"position_id": 1397, "txt": "// { color: \"", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[14]"}]}, "tags": [], "label": "code", "web_segment_id": 34, "global_sentence_id": 47, "edu_l1_label": "EDU_O"}, {"txt": "red\" }", "language": "english", "position": {"atoms": [{"position_id": 1398, "txt": "red\" }", "x": "/html/body/div/div/div[2]/article/main/div[8]/pre/code/span[11]/span[14]"}]}, "tags": [], "label": "code", "web_segment_id": 34, "global_sentence_id": 48, "edu_l1_label": "EDU_O"}, {"txt": "React Hook API", "language": "english", "position": {"atoms": [{"position_id": 1400, "txt": "React Hook API", "x": "/html/body/div/div/div[2]/article/main/h2[5]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 35, "global_sentence_id": 49, "edu_l1_label": "BOS"}, {"txt": "The hook API is designed to streamline the state-syncing workflow between the different pieces of an extension.", "language": "english", "position": {"atoms": [{"position_id": 1402, "txt": "The hook API is designed to streamline the state-syncing workflow between the different pieces of an extension.", "x": "/html/body/div/div/div[2]/article/main/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": " There are many ways it can be used, but first and foremost you will want to import the hook into your React component:", "language": "english", "position": {"atoms": [{"position_id": 1403, "txt": " There are many ways it can be used, but first and foremost you will want to import the hook into your React component:", "x": "/html/body/div/div/div[2]/article/main/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "import { useStorage } from\"@plasmohq/storage/hook\"", "language": "english", "position": {"atoms": [{"position_id": 1405, "txt": "import", "x": "/html/body/div/div/div[2]/article/main/div[9]/pre/code/span/span[1]"}, {"position_id": 1407, "txt": " { useStorage } ", "x": "/html/body/div/div/div[2]/article/main/div[9]/pre/code/span/span[2]"}, {"position_id": 1409, "txt": "from", "x": "/html/body/div/div/div[2]/article/main/div[9]/pre/code/span/span[3]"}, {"position_id": 1411, "txt": "\"@plasmohq/storage/hook\"", "x": "/html/body/div/div/div[2]/article/main/div[9]/pre/code/span/span[5]"}]}, "tags": [], "label": "code", "web_segment_id": 37, "global_sentence_id": 52, "edu_l1_label": "EDU_O"}, {"txt": "Watch and render a value", "language": "english", "position": {"atoms": [{"position_id": 1413, "txt": "Watch and render a value", "x": "/html/body/div/div/div[2]/article/main/h3[4]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 38, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "const [hailingFrequency] =useStorage(\"hailing\")...{hailingFrequency}", "language": "english", "position": {"atoms": [{"position_id": 1415, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[1]/span[1]"}, {"position_id": 1417, "txt": " [", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[1]/span[2]"}, {"position_id": 1419, "txt": "hailingFrequency", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[1]/span[3]"}, {"position_id": 1421, "txt": "] ", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[1]/span[4]"}, {"position_id": 1423, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[1]/span[5]"}, {"position_id": 1425, "txt": "useStorage", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[1]/span[7]"}, {"position_id": 1427, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[1]/span[8]"}, {"position_id": 1429, "txt": "\"hailing\"", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[1]/span[9]"}, {"position_id": 1431, "txt": ")", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[1]/span[10]"}, {"position_id": 1433, "txt": "...", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[2]/span"}, {"position_id": 1435, "txt": "{hailingFrequency}", "x": "/html/body/div/div/div[2]/article/main/div[10]/pre/code/span[3]/span"}]}, "tags": [], "label": "code", "web_segment_id": 39, "global_sentence_id": 54, "edu_l1_label": "EDU_O"}, {"txt": "With a custom storage instance", "language": "english", "position": {"atoms": [{"position_id": 1437, "txt": "With a custom storage instance", "x": "/html/body/div/div/div[2]/article/main/h3[5]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 40, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "import { Storage } from\"@plasmohq/storage\"...const [hailingFrequency] =useStorage({ key:\"", "language": "english", "position": {"atoms": [{"position_id": 1439, "txt": "import", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[1]/span[1]"}, {"position_id": 1441, "txt": " { Storage } ", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[1]/span[2]"}, {"position_id": 1443, "txt": "from", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[1]/span[3]"}, {"position_id": 1445, "txt": "\"@plasmohq/storage\"", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[1]/span[5]"}, {"position_id": 1447, "txt": "...", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[2]/span"}, {"position_id": 1449, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[3]/span[1]"}, {"position_id": 1451, "txt": " [", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[3]/span[2]"}, {"position_id": 1453, "txt": "hailingFrequency", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[3]/span[3]"}, {"position_id": 1455, "txt": "] ", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[3]/span[4]"}, {"position_id": 1457, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[3]/span[5]"}, {"position_id": 1459, "txt": "useStorage", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[3]/span[7]"}, {"position_id": 1461, "txt": "({", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[3]/span[8]"}, {"position_id": 1463, "txt": " key", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[4]/span[1]"}, {"position_id": 1465, "txt": ":", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[4]/span[2]"}, {"position_id": 1467, "txt": "\"", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[4]/span[4]"}]}, "tags": [], "label": "code", "web_segment_id": 41, "global_sentence_id": 56, "edu_l1_label": "EDU_O"}, {"txt": "hailing\", instance:", "language": "english", "position": {"atoms": [{"position_id": 1468, "txt": "hailing\"", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[4]/span[4]"}, {"position_id": 1470, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[4]/span[5]"}, {"position_id": 1472, "txt": " instance", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[5]/span[1]"}, {"position_id": 1474, "txt": ":", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[5]/span[2]"}]}, "tags": [], "label": "code", "web_segment_id": 41, "global_sentence_id": 57, "edu_l1_label": "EDU_O"}, {"txt": "newStorage({ area:\"", "language": "english", "position": {"atoms": [{"position_id": 1476, "txt": "new", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[5]/span[4]"}, {"position_id": 1478, "txt": "Storage", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[5]/span[6]"}, {"position_id": 1480, "txt": "({", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[5]/span[7]"}, {"position_id": 1482, "txt": " area", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[6]/span[1]"}, {"position_id": 1484, "txt": ":", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[6]/span[2]"}, {"position_id": 1486, "txt": "\"", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[6]/span[4]"}]}, "tags": [], "label": "code", "web_segment_id": 41, "global_sentence_id": 58, "edu_l1_label": "EDU_O"}, {"txt": "local\" })})", "language": "english", "position": {"atoms": [{"position_id": 1487, "txt": "local\"", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[6]/span[4]"}, {"position_id": 1489, "txt": " })", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[7]/span"}, {"position_id": 1491, "txt": "})", "x": "/html/body/div/div/div[2]/article/main/div[11]/pre/code/span[8]/span"}]}, "tags": [], "label": "code", "web_segment_id": 41, "global_sentence_id": 59, "edu_l1_label": "EDU_O"}, {"txt": "Rendering initial value WITHOUT persisting", "language": "english", "position": {"atoms": [{"position_id": 1493, "txt": "Rendering initial value WITHOUT persisting", "x": "/html/body/div/div/div[2]/article/main/h3[6]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 42, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "\"Persisting\" means writing into the internal memory.", "language": "english", "position": {"atoms": [{"position_id": 1495, "txt": "\"Persisting\" means writing into the internal memory.", "x": "/html/body/div/div/div[2]/article/main/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "By not persisting the value, only this specific instance of the hook will render the given initial value when there is no value in storage.", "language": "english", "position": {"atoms": [{"position_id": 1497, "txt": "By not persisting the value, only this specific instance of the hook will render the given initial value when there is no value in storage.", "x": "/html/body/div/div/div[2]/article/main/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": " Other instances can either show undefined OR specify their own initial value.", "language": "english", "position": {"atoms": [{"position_id": 1498, "txt": " Other instances can either show ", "x": "/html/body/div/div/div[2]/article/main/p[13]"}, {"position_id": 1500, "txt": "undefined", "x": "/html/body/div/div/div[2]/article/main/p[13]/code"}, {"position_id": 1502, "txt": " OR specify their own initial value.", "x": "/html/body/div/div/div[2]/article/main/p[13]/code"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": " To elaborate on this:", "language": "english", "position": {"atoms": [{"position_id": 1503, "txt": " To elaborate on this:", "x": "/html/body/div/div/div[2]/article/main/p[13]/code"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "Given a popup.tsx that sets a static initial value:", "language": "english", "position": {"atoms": [{"position_id": 1505, "txt": "Given a ", "x": "/html/body/div/div/div[2]/article/main/p[14]"}, {"position_id": 1507, "txt": "popup.tsx", "x": "/html/body/div/div/div[2]/article/main/p[14]/code"}, {"position_id": 1509, "txt": " that sets a static initial value:", "x": "/html/body/div/div/div[2]/article/main/p[14]/code"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "popup.tsx", "language": "english", "position": {"atoms": [{"position_id": 1511, "txt": "popup.tsx", "x": "/html/body/div/div/div[2]/article/main/div[12]/div[1]"}]}, "tags": [], "label": "code", "web_segment_id": 46, "global_sentence_id": 66, "edu_l1_label": "EDU_O"}, {"txt": "const [hailingFrequency,setHailingFrequency] =useStorage(\"hailing\",\"42\")...<inputvalue={hailingFrequency} onChange={(e) =>setHailingFrequency(e.target.value) }/> // \"42\"", "language": "english", "position": {"atoms": [{"position_id": 1513, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[1]"}, {"position_id": 1515, "txt": " [", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[2]"}, {"position_id": 1517, "txt": "hailingFrequency", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[3]"}, {"position_id": 1519, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[4]"}, {"position_id": 1521, "txt": "setHailingFrequency", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[6]"}, {"position_id": 1523, "txt": "] ", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[7]"}, {"position_id": 1525, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[8]"}, {"position_id": 1527, "txt": "useStorage", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[10]"}, {"position_id": 1529, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[11]"}, {"position_id": 1531, "txt": "\"hailing\"", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[12]"}, {"position_id": 1533, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[13]"}, {"position_id": 1535, "txt": "\"42\"", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[15]"}, {"position_id": 1537, "txt": ")", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[1]/span[16]"}, {"position_id": 1539, "txt": "...", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[2]/span"}, {"position_id": 1541, "txt": "<", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[3]/span[1]"}, {"position_id": 1543, "txt": "input", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[3]/span[2]"}, {"position_id": 1545, "txt": "value", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[3]/span[4]"}, {"position_id": 1547, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[3]/span[5]"}, {"position_id": 1549, "txt": "{hailingFrequency} ", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[3]/span[6]"}, {"position_id": 1551, "txt": "onChange", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[3]/span[7]"}, {"position_id": 1553, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[3]/span[8]"}, {"position_id": 1555, "txt": "{(e) ", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[3]/span[9]"}, {"position_id": 1557, "txt": "=>", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[3]/span[10]"}, {"position_id": 1559, "txt": "setHailingFrequency", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[4]/span[2]"}, {"position_id": 1561, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[4]/span[3]"}, {"position_id": 1563, "txt": "e", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[4]/span[4]"}, {"position_id": 1565, "txt": ".", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[4]/span[5]"}, {"position_id": 1567, "txt": "target", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[4]/span[6]"}, {"position_id": 1569, "txt": ".value)", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[4]/span[7]"}, {"position_id": 1571, "txt": " }/> ", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[5]/span[1]"}, {"position_id": 1573, "txt": "// \"42\"", "x": "/html/body/div/div/div[2]/article/main/div[12]/pre/code/span[5]/span[2]"}]}, "tags": [], "label": "code", "web_segment_id": 47, "global_sentence_id": 67, "edu_l1_label": "EDU_O"}, {"txt": "If we subscribe to this key in content.tsx, we will see it be undefined until setHailingFrequency is called with a defined value:", "language": "english", "position": {"atoms": [{"position_id": 1575, "txt": "If we subscribe to this key in ", "x": "/html/body/div/div/div[2]/article/main/p[15]"}, {"position_id": 1577, "txt": "content.tsx", "x": "/html/body/div/div/div[2]/article/main/p[15]/code[1]"}, {"position_id": 1579, "txt": ", we will see it be ", "x": "/html/body/div/div/div[2]/article/main/p[15]/code[1]"}, {"position_id": 1581, "txt": "undefined", "x": "/html/body/div/div/div[2]/article/main/p[15]/code[2]"}, {"position_id": 1583, "txt": " until ", "x": "/html/body/div/div/div[2]/article/main/p[15]/code[2]"}, {"position_id": 1585, "txt": "setHailingFrequency", "x": "/html/body/div/div/div[2]/article/main/p[15]/code[3]"}, {"position_id": 1587, "txt": " is called with a defined value:", "x": "/html/body/div/div/div[2]/article/main/p[15]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "content.tsx", "language": "english", "position": {"atoms": [{"position_id": 1589, "txt": "content.tsx", "x": "/html/body/div/div/div[2]/article/main/div[13]/div[1]"}]}, "tags": [], "label": "code", "web_segment_id": 49, "global_sentence_id": 69, "edu_l1_label": "EDU_O"}, {"txt": "const [hailingFrequency] =useStorage(\"hailing\")return <p>{hailingFrequency}</p> // undefined", "language": "english", "position": {"atoms": [{"position_id": 1591, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[1]/span[1]"}, {"position_id": 1593, "txt": " [", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[1]/span[2]"}, {"position_id": 1595, "txt": "hailingFrequency", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[1]/span[3]"}, {"position_id": 1597, "txt": "] ", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[1]/span[4]"}, {"position_id": 1599, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[1]/span[5]"}, {"position_id": 1601, "txt": "useStorage", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[1]/span[7]"}, {"position_id": 1603, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[1]/span[8]"}, {"position_id": 1605, "txt": "\"hailing\"", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[1]/span[9]"}, {"position_id": 1607, "txt": ")", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[1]/span[10]"}, {"position_id": 1609, "txt": "return", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[3]/span[1]"}, {"position_id": 1611, "txt": " <", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[3]/span[2]"}, {"position_id": 1613, "txt": "p", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[3]/span[3]"}, {"position_id": 1615, "txt": ">{hailingFrequency}</", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[3]/span[4]"}, {"position_id": 1617, "txt": "p", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[3]/span[5]"}, {"position_id": 1619, "txt": "> ", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[3]/span[6]"}, {"position_id": 1621, "txt": "// undefined", "x": "/html/body/div/div/div[2]/article/main/div[13]/pre/code/span[3]/span[7]"}]}, "tags": [], "label": "code", "web_segment_id": 50, "global_sentence_id": 70, "edu_l1_label": "EDU_O"}, {"txt": "If we subscribe to this key in options.tsx, but with a different static initial value, we will see that value instead:", "language": "english", "position": {"atoms": [{"position_id": 1623, "txt": "If we subscribe to this key in ", "x": "/html/body/div/div/div[2]/article/main/p[16]"}, {"position_id": 1625, "txt": "options.tsx", "x": "/html/body/div/div/div[2]/article/main/p[16]/code"}, {"position_id": 1627, "txt": ", but with a different static initial value, we will see that value instead:", "x": "/html/body/div/div/div[2]/article/main/p[16]/code"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "options.tsx", "language": "english", "position": {"atoms": [{"position_id": 1629, "txt": "options.tsx", "x": "/html/body/div/div/div[2]/article/main/div[14]/div[1]"}]}, "tags": [], "label": "code", "web_segment_id": 52, "global_sentence_id": 72, "edu_l1_label": "EDU_O"}, {"txt": "const [hailingFrequency] =useStorage(\"hailing\",\"147\")return <p>{hailingFrequency}</p> // \"147\"", "language": "english", "position": {"atoms": [{"position_id": 1631, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[1]"}, {"position_id": 1633, "txt": " [", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[2]"}, {"position_id": 1635, "txt": "hailingFrequency", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[3]"}, {"position_id": 1637, "txt": "] ", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[4]"}, {"position_id": 1639, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[5]"}, {"position_id": 1641, "txt": "useStorage", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[7]"}, {"position_id": 1643, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[8]"}, {"position_id": 1645, "txt": "\"hailing\"", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[9]"}, {"position_id": 1647, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[10]"}, {"position_id": 1649, "txt": "\"147\"", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[12]"}, {"position_id": 1651, "txt": ")", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[1]/span[13]"}, {"position_id": 1653, "txt": "return", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[3]/span[1]"}, {"position_id": 1655, "txt": " <", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[3]/span[2]"}, {"position_id": 1657, "txt": "p", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[3]/span[3]"}, {"position_id": 1659, "txt": ">{hailingFrequency}</", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[3]/span[4]"}, {"position_id": 1661, "txt": "p", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[3]/span[5]"}, {"position_id": 1663, "txt": "> ", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[3]/span[6]"}, {"position_id": 1665, "txt": "// \"147\"", "x": "/html/body/div/div/div[2]/article/main/div[14]/pre/code/span[3]/span[7]"}]}, "tags": [], "label": "code", "web_segment_id": 53, "global_sentence_id": 73, "edu_l1_label": "EDU_O"}, {"txt": "With the above setup, suppose we call setHailingFrequency(\"8472\") in any of the instances above, we will see that all instances will now show \"8472\" and will now track the value in storage instead of the initial value.", "language": "english", "position": {"atoms": [{"position_id": 1667, "txt": "With the above setup, suppose we call ", "x": "/html/body/div/div/div[2]/article/main/p[17]"}, {"position_id": 1669, "txt": "setHailingFrequency(\"8472\")", "x": "/html/body/div/div/div[2]/article/main/p[17]/code"}, {"position_id": 1671, "txt": " in any of the instances above, we will see that all instances will now show \"8472\" and will now track the value in storage instead of the initial value.", "x": "/html/body/div/div/div[2]/article/main/p[17]/code"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "Rendering AND persisting initial value", "language": "english", "position": {"atoms": [{"position_id": 1673, "txt": "Rendering AND persisting initial value", "x": "/html/body/div/div/div[2]/article/main/h3[7]"}]}, "tags": ["h3"], "label": "content", "web_segment_id": 55, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "By using a function instead of a static value, the initial value will be persisted in storage memory.", "language": "english", "position": {"atoms": [{"position_id": 1675, "txt": "By using a function instead of a static value, the initial value will be persisted in storage memory.", "x": "/html/body/div/div/div[2]/article/main/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": " The initialize function has one parameter which is the existing value in storage.", "language": "english", "position": {"atoms": [{"position_id": 1676, "txt": " The initialize function has one parameter which is the existing value in storage.", "x": "/html/body/div/div/div[2]/article/main/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": " If there is no value, it is undefined.", "language": "english", "position": {"atoms": [{"position_id": 1677, "txt": " If there is no value, it is ", "x": "/html/body/div/div/div[2]/article/main/p[18]"}, {"position_id": 1679, "txt": "undefined", "x": "/html/body/div/div/div[2]/article/main/p[18]/code"}, {"position_id": 1681, "txt": ".", "x": "/html/body/div/div/div[2]/article/main/p[18]/code"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "Let's say we have a popup.tsx that initialize the state to \"42\" if there is nothing in storage:", "language": "english", "position": {"atoms": [{"position_id": 1683, "txt": "Let's say we have a ", "x": "/html/body/div/div/div[2]/article/main/p[19]"}, {"position_id": 1685, "txt": "popup.tsx", "x": "/html/body/div/div/div[2]/article/main/p[19]/code"}, {"position_id": 1687, "txt": " that initialize the state to \"42\" if there is nothing in storage:", "x": "/html/body/div/div/div[2]/article/main/p[19]/code"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "popup.tsx", "language": "english", "position": {"atoms": [{"position_id": 1689, "txt": "popup.tsx", "x": "/html/body/div/div/div[2]/article/main/div[15]/div[1]"}]}, "tags": [], "label": "code", "web_segment_id": 58, "global_sentence_id": 80, "edu_l1_label": "EDU_O"}, {"txt": "const [hailingFrequency,setHailingFrequency] =useStorage(\"hailing\", (v) => v ===undefined?\"42\":", "language": "english", "position": {"atoms": [{"position_id": 1691, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[1]"}, {"position_id": 1693, "txt": " [", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[2]"}, {"position_id": 1695, "txt": "hailingFrequency", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[3]"}, {"position_id": 1697, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[4]"}, {"position_id": 1699, "txt": "setHailingFrequency", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[6]"}, {"position_id": 1701, "txt": "] ", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[7]"}, {"position_id": 1703, "txt": "=", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[8]"}, {"position_id": 1705, "txt": "useStorage", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[10]"}, {"position_id": 1707, "txt": "(", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[11]"}, {"position_id": 1709, "txt": "\"hailing\"", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[12]"}, {"position_id": 1711, "txt": ",", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[13]"}, {"position_id": 1713, "txt": " (v) ", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[14]"}, {"position_id": 1715, "txt": "=>", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[15]"}, {"position_id": 1717, "txt": " v ", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[16]"}, {"position_id": 1719, "txt": "===", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[17]"}, {"position_id": 1721, "txt": "undefined", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[19]"}, {"position_id": 1723, "txt": "?", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[21]"}, {"position_id": 1725, "txt": "\"42\"", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[23]"}, {"position_id": 1727, "txt": ":", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[24]"}]}, "tags": [], "label": "code", "web_segment_id": 59, "global_sentence_id": 81, "edu_l1_label": "EDU_O"}, {"txt": " v)...{hailingFrequency} // \"42\"", "language": "english", "position": {"atoms": [{"position_id": 1729, "txt": " v)", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[1]/span[25]"}, {"position_id": 1731, "txt": "...", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[2]/span"}, {"position_id": 1733, "txt": "{hailingFrequency} ", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[3]/span[1]"}, {"position_id": 1735, "txt": "// \"42\"", "x": "/html/body/div/div/div[2]/article/main/div[15]/pre/code/span[3]/span[2]"}]}, 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"/html/body/div/div/div[2]/article/main/p[20]/code[3]"}, {"position_id": 1749, "txt": ":", "x": "/html/body/div/div/div[2]/article/main/p[20]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "content.tsx", "language": "english", "position": {"atoms": [{"position_id": 1751, "txt": "content.tsx", "x": "/html/body/div/div/div[2]/article/main/div[16]/div[1]"}]}, "tags": [], "label": "code", "web_segment_id": 61, "global_sentence_id": 84, "edu_l1_label": "EDU_O"}, {"txt": "const [hailingFrequency] =useStorage(\"hailing\")return <p>{hailingFrequency}</p> // \"42\"", "language": "english", "position": {"atoms": [{"position_id": 1753, "txt": "const", "x": "/html/body/div/div/div[2]/article/main/div[16]/pre/code/span[1]/span[1]"}, {"position_id": 1755, "txt": " [", "x": "/html/body/div/div/div[2]/article/main/div[16]/pre/code/span[1]/span[2]"}, {"position_id": 1757, "txt": "hailingFrequency", "x": 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"/html/body/div/div/div[2]/article/main/div[16]/pre/code/span[3]/span[2]"}, {"position_id": 1775, "txt": "p", "x": "/html/body/div/div/div[2]/article/main/div[16]/pre/code/span[3]/span[3]"}, {"position_id": 1777, "txt": ">{hailingFrequency}</", "x": "/html/body/div/div/div[2]/article/main/div[16]/pre/code/span[3]/span[4]"}, {"position_id": 1779, "txt": "p", "x": "/html/body/div/div/div[2]/article/main/div[16]/pre/code/span[3]/span[5]"}, {"position_id": 1781, "txt": "> ", "x": "/html/body/div/div/div[2]/article/main/div[16]/pre/code/span[3]/span[6]"}, {"position_id": 1783, "txt": "// \"42\"", "x": "/html/body/div/div/div[2]/article/main/div[16]/pre/code/span[3]/span[7]"}]}, "tags": [], "label": "code", "web_segment_id": 62, "global_sentence_id": 85, "edu_l1_label": "EDU_O"}, {"txt": "Advanced usage", "language": "english", "position": {"atoms": [{"position_id": 1785, "txt": "Advanced usage", "x": "/html/body/div/div/div[2]/article/main/h3[8]"}]}, "tags": ["h3"], "label": "title2", 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# Storage API – Plasmo ## Installation ## Usage Examples ## Storage ### Customizing the storage area ### Automatically copy data to localStorage ### Watch (for state sync) ## Secure Storage ## React Hook API ### Watch and render a value ### With a custom storage instance ### Rendering initial value WITHOUT persisting ### Rendering AND persisting initial value ### Advanced usage ### Usage with Firefox
8d268bf8-cda4-4651-ad10-aabf3fba7f75
web
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https://www.36kr.com/p/3219684128803968
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"strong"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 4, "edu_l1_label": "BOS"}, {"txt": "沉寂已久的烤肉,近期又有了新动作。", "language": "chinese", "position": {"atoms": [{"position_id": 350, "txt": "沉寂已久的烤肉,近期又有了新动作。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 5, "edu_l1_label": "IOS"}, {"txt": "小份生肉或放在小份托盘中,或真空密封包装,在开放式冷冻货柜中排排码开。", "language": "chinese", "position": {"atoms": [{"position_id": 352, "txt": "小份生肉或放在小份托盘中,或真空密封包装,在开放式冷冻货柜中排排码开。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 6, "edu_l1_label": "IOS"}, {"txt": "食客们拎着提篮,把挑好的产品放入其中。", "language": "chinese", "position": {"atoms": [{"position_id": 353, "txt": "食客们拎着提篮,把挑好的产品放入其中。", "x": 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"chinese", "position": {"atoms": [{"position_id": 357, "txt": "除了肉类,货柜中还有菠萝、生菜、香菇等蔬菜,所有的产品都与烤制更加适配。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "在这些货柜的不远处,就是可以直接使用的烤炉,消费者无需等待,即选即烤,形成了一种更自由、便利的烤肉消费体验。", "language": "chinese", "position": {"atoms": [{"position_id": 359, "txt": "在这些货柜的不远处,就是可以直接使用的烤炉,消费者无需等待,即选即烤,形成了一种更自由、便利的烤肉消费体验。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "冷链配送新鲜现切、小份包装自助选购,一批烤肉便利店,正如雨后春笋,在全国市场中纷纷“冒头”。", "language": "chinese", "position": {"atoms": [{"position_id": 361, "txt": "冷链配送新鲜现切、小份包装自助选购,一批烤肉便利店,正如雨后春笋,在全国市场中纷纷“冒头”。", "x": 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"tags": ["img"], "label": "figure", "web_segment_id": 12, "global_sentence_id": 16, "edu_l1_label": "EDU_O"}, {"txt": "权三喜自助烤肉便利店,成立于2024年5月的重庆,主打“自有猪场,吃肉自由”,店内摆设了泡面机,提供韩剧同款的泡面DIY。", "language": "chinese", "position": {"atoms": [{"position_id": 366, "txt": "权三喜自助烤肉便利店,成立于2024年5月的重庆,主打“自有猪场,吃肉自由”,店内摆设了泡面机,提供韩剧同款的泡面DIY。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "单人自助烤肉套餐仅需69元,儿童自助烤肉套餐低至29元,有20多余款烤肉和多种素菜搭配、主食小吃提供。", "language": "chinese", "position": {"atoms": [{"position_id": 367, "txt": "单人自助烤肉套餐仅需69元,儿童自助烤肉套餐低至29元,有20多余款烤肉和多种素菜搭配、主食小吃提供。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "<img 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"language": "chinese", "position": {"atoms": [{"position_id": 371, "txt": "此前,成都一家烧烤品牌“辛弘大”也切换了便利店模式,让顾客自选产品、小料、粥品等。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "与此同时,门店还降低了客单价,六七十元就能吃到招牌定制五花肉、牛肋条、原切牛排等。", "language": "chinese", "position": {"atoms": [{"position_id": 372, "txt": "与此同时,门店还降低了客单价,六七十元就能吃到招牌定制五花肉、牛肋条、原切牛排等。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "在南京,首尔同款便利店自助烤肉“炭火三千秒”于去年冬天开业,获得了不少消费者的关注;", "language": "chinese", "position": {"atoms": [{"position_id": 374, "txt": "在南京,首尔同款便利店自助烤肉“炭火三千秒”于去年冬天开业,获得了不少消费者的关注;", "x": 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"global_sentence_id": 25, "edu_l1_label": "BOS"}, {"txt": "这批烤肉便利店的模式非常类似,仿佛是“711+锅圈食汇+烤肉店”的结合版。", "language": "chinese", "position": {"atoms": [{"position_id": 379, "txt": "这批烤肉便利店的模式非常类似,仿佛是“711+锅圈食汇+烤肉店”的结合版。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "1、主打小店模型,以街边社区店为主。", "language": "chinese", "position": {"atoms": [{"position_id": 381, "txt": "1、主打小店模型,以街边社区店为主。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[15]/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 20, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "在《韩国烤肉“鼻祖”们,正在接连倒闭》一文中,内参君就曾指出,许多早期成功的品牌在市场红利期建立了较高的价格体系,但后续却未能持续优化产品、提升性价比,造成了消费者的流失。", "language": "chinese", "position": {"atoms": [{"position_id": 383, "txt": 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"global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "从自助小火锅到回转寿司,高性价比模式往往能受到更多消费者的欢迎,但仅仅模仿便利店这一创新点没有护城河,难逃同质化问题,后期可能会导致消费者审美疲劳。", "language": "chinese", "position": {"atoms": [{"position_id": 466, "txt": "从自助小火锅到回转寿司,高性价比模式往往能受到更多消费者的欢迎,但仅仅模仿便利店这一创新点没有护城河,难逃同质化问题,后期可能会导致消费者审美疲劳。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[47]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 54, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "此前,“烤肉教父”金哲浩在“餐饮朝前看”中提到:", "language": "chinese", "position": {"atoms": [{"position_id": 468, "txt": "此前,“烤肉教父”金哲浩在“餐饮朝前看”中提到:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[48]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "“烤肉未来趋势是性价比,要做低端食材、中端价格、高端体验。”", "language": "chinese", "position": {"atoms": [{"position_id": 470, "txt": 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# 年轻人一边排队一边吐槽,“烤肉便利店”全国开花 ## “烤肉便利店”席卷全国! ## 在“便利店”里烤肉,真的香吗? ### 1、主打小店模型,以街边社区店为主。 ### 2、大多选择自选模式,将性价比贯彻到底。 ### 3、“堂食+零售”,打破传统烤肉边界 ## 零售和餐饮的边界,越来越模糊了 ## 烤肉便利店,年轻人会买账多久?
ce8af100-44b3-4a5a-a199-8d01281dcaa3
web
test/raw_web_htmls/ce8af100-44b3-4a5a-a199-8d01281dcaa3.html
https://mp.weixin.qq.com/s?__biz=MzIwMjM2NTAxMg==&mid=2247490993&idx=1&sn=7c875cb0db6b52619209ac856158fd1b&scene=0
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# 如何管理桀骜不驯的下属 ## 一、调岗闲置法——让技术大牛自废武功 ### 操作步骤: #### 选择调岗方向: #### 包装说辞: #### 实施要点: ### 案例: ### 适用对象: ### 风险提示: ## 二、架空权力法——温水煮青蛙式边缘化 ### 具体操作: #### 拆分工作模块: #### 信息隔离: #### 心理施压: ### 效果阶段: ## 三、定超高目标——制造不可能任务 ### 设定技巧: #### 数据包装: #### 配套措施: ### 话术示例: ### 反制预案: ## 四、团队孤立法——制造社交真空 ### 实施清单: ## 五、差别对待法——精准制造不公感 ### 对比设计: ### 关键要点: ## 六、考核卡人法——合法劝退利器 ### 操作模板: #### 设定主观指标: #### 评分策略: #### 存档记录: ### 法律依据: ## 七、揪小辫子法——持续否定打击 ### 实施范例: #### 工作场景: #### 生活细节: ### 进阶技巧: ### 心理摧毁三阶段: ## 八、小题大做法——显微镜式找茬 ### 典型操作: ### 配套措施: ## 九、心理暗示法——慢性精神离职 ### 话术库: #### 前景暗示: #### 个人发展: #### 反向激励: ### 节奏控制: ## 十、调岗降薪法——合法降维打击 ### 操作指南: #### 选择目标岗位: #### 薪酬重构: #### 法律防火墙: ### 经典案例: ## 高阶组合拳套路 ### 情景模拟:对付销售团队刺头 ## 风险防控体系 ### 法律层面: ### 舆论层面: ### 替代方案:
ec9b2c6e-a476-41a8-8eb3-c4666530e736
web
test/raw_web_htmls/ec9b2c6e-a476-41a8-8eb3-c4666530e736.html
https://www.163.com/dy/article/JR7A9O6J051100B9.html
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"web_segment_id": 56, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "如今,海信更已经实现同时横跨屏、芯、光、AI等多个领域的系统性跃迁,打通构建百吋第一好画质的所有技术,构建起全面领先于行业的综合实力优势。", "language": "chinese", "position": {"atoms": [{"position_id": 645, "txt": "如今,", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[59]"}, {"position_id": 647, "txt": "海信更已经实现同时横跨屏、芯、光、AI等多个领域的系统性跃迁,打通构建百吋第一好画质的所有技术,构建起全面领先于行业的综合实力优势。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[59]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 57, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/5QKDb397nHu7hbRw1DTDgh.jpg", "language": "chinese", "position": {"atoms": [{"position_id": 467, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/5QKDb397nHu7hbRw1DTDgh.jpg", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[60]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 58, "global_sentence_id": 89, "edu_l1_label": "EDU_O"}, {"txt": "同时,海信也拥有电视行业的两个“唯一”:", "language": "chinese", "position": {"atoms": [{"position_id": 649, "txt": "同时,海信也拥有电视行业的两个“唯一”:", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[61]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "唯一拥有自研画质芯片的中国品牌,让信芯AI画质芯片H7的光色同控算法能精准识别2000+场景;", "language": "chinese", "position": {"atoms": [{"position_id": 651, "txt": "唯一拥有自研画质芯片的中国品牌,让信芯AI画质芯片H7的光色同控算法能精准识别2000+场景;", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[61]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 59, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "唯一同时赞助世俱杯与欧洲杯的电视品牌,用顶级赛事反哺技术迭代。", "language": "chinese", "position": {"atoms": [{"position_id": 652, "txt": "唯一同时赞助世俱杯与欧洲杯的电视品牌,用顶级赛事反哺技术迭代。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[61]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 59, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "从ULED、激光显示到RGB-Mini LED,从体育营销到AI赋能,海信电视能够坐稳全球Top梯队绝非偶然,这是一场技术、品牌与战略目光的精密合谋。", "language": "chinese", "position": {"atoms": [{"position_id": 654, "txt": "从ULED、激光显示到RGB-Mini LED,从体育营销到AI赋能,海信电视能够坐稳全球Top梯队绝非偶然,这是一场技术、品牌与战略目光的精密合谋。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[62]"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "在AWE 2025上,海信更是以“光色同控”突破显示边界,以“尺寸自由”重构空间想象,海信用50多年积淀证明了中国品牌在显示技术领域的全球领先地位,并将这项突破性的技术推向了行业标准化的轨道。", "language": "chinese", "position": {"atoms": [{"position_id": 656, "txt": "在AWE 2025上,海信更是以“光色同控”突破显示边界,以“尺寸自由”重构空间想象,海信用50多年积淀证明了中国品牌在显示技术领域的全球领先地位,并将这项突破性的技术推向了行业标准化的轨道。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[63]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "更证明了,中国企业通过技术引领,也可以在高端市场赢得更多的话语权,甚至定义全球标准。", "language": "chinese", "position": {"atoms": [{"position_id": 657, "txt": "更证明了,中国企业通过技术引领,也可以在高端市场赢得更多的话语权,甚至定义全球标准。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[63]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "身处AWE 2025,可以深刻感受到,海信正以百吋为尺,丈量一个时代的宽度——在这里,每一面墙都是通往数字宇宙的入口。", "language": "chinese", "position": {"atoms": [{"position_id": 659, "txt": "身处AWE 2025,可以深刻感受到,", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[64]"}, {"position_id": 661, "txt": "海信正以百吋为尺,丈量一个时代的宽度——在这里,每一面墙都是通往数字宇宙的入口。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[64]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 62, "global_sentence_id": 96, "edu_l1_label": "IOS"}], "type": "WEB"}
# 海信成AWE显示风向标!RGB-Mini LED量产,硬核技术开启WALL时代 ## 客厅WALL时代:海信百吋矩阵来袭 ## 技术纵深:海信三大护城河 ### 其一:RGB-Mini LED芯片,解决量产难题。 ### 其二:RGB 光色同控画质芯片,重构光色秩序 ### 其三:AI技术+黑曜屏,提升观看体验 ## 百吋换新,为什么大家都选择了海信?
a41d3e3c-ea6c-4a10-a331-30064c5702ea
web
test/raw_web_htmls/a41d3e3c-ea6c-4a10-a331-30064c5702ea.html
https://www.163.com/dy/article/JPAUJ5UM0511ADC6.html
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# 真我Neo7 SE正式发布,补贴后1530元起 ## 真我Neo7 SE ## 真我Neo7x ## 真我 Buds Air7
f6d3bbe1-dcc6-4dee-8128-50584bba018a
web
test/raw_web_htmls/f6d3bbe1-dcc6-4dee-8128-50584bba018a.html
https://mp.weixin.qq.com/s/_HNWHRMkFyYsGLjfRRCicA
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# 【微动态】医学家年会:第七医学中心妇产医学部和学部主任孟元光获奖 ## “年度十大公益科室” ## “十大医学贡献专家”
eacfcfbf-114b-4e70-bd97-1778547b59f2
web
test/raw_web_htmls/eacfcfbf-114b-4e70-bd97-1778547b59f2.html
http://world.people.com.cn/n1/2025/0205/c1002-40413061.html
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# 中华人民共和国和吉尔吉斯共和国关于深化新时代全面战略伙伴关系的联合声明(全文) ## 一、双方强调,高层交往对中吉关系发展具有重要意义,愿继续发挥元首外交战略引领作用,保持高层交往积极势头,进一步密切中央和地方政府、立法机构、政党等领域交往合作,加强政策沟通,深化治国理政经验交流。 ## 二、双方坚定支持彼此国家发展愿景和目标。 ## 三、双方重申将在涉及彼此核心利益问题上相互坚定支持,坚决反对外部势力干涉内政,坚决反对搞双重标准。 ## 四、双方强调,安全与发展是国际社会面临的重要问题,两国加强安全、执法、防务和情报等领域合作具有重要现实意义。 ## 五、双方高度评价中吉共建“一带一路”合作取得的丰硕成果,将以共建“一带一路”进入高质量发展新阶段为契机,推进共建“一带一路”倡议同吉“2026年前国家发展纲要”对接,挖掘经贸、投资、互联互通、科技创新等领域合作潜力,保障两国务实合作项目顺利实施。 ## 六、双方愿继续充分发挥中国文化中心、鲁班工坊、孔子学院、孔子课堂对中吉文化交流和职业教育合作的促进作用,在吉尔吉斯斯坦推动汉语教学,助力增进中吉友谊。中方欢迎和鼓励更多吉尔吉斯斯坦学生来华学习深造。中方愿研究为吉方提供高水平同声传译译员培训课程或更多培训名额。 ## 七、双方强调要探讨为人员往来便利化、简化签证手续和强化两国主管部门合作创造更为有利的条件,以加强旅游合作,拓展移民管理务实合作,保障两国公民合法权益。 ## 八、面对前所未有的全球性挑战,双方将坚定捍卫以联合国为核心的国际体系、以国际法为基础的国际秩序、以联合国宪章宗旨和原则为基础的国际关系基本准则。双方致力于推动平等有序的世界多极化和普惠包容的经济全球化,反对各种形式的单边主义、保护主义,呼吁践行真正的多边主义,推进国际关系民主化,共同维护国际公平正义。双方将加强在联合国框架内的协调配合,在多边场合就共同关心的事务保持合作,推动全球治理朝着更加公正合理的方向发展。 ## 九、双方高度评价中国-中亚机制,认为该机制为发展中国中亚关系、深化多边合作提供了重要平台。 ## 十、双方将继续加强在上海合作组织框架内的相互支持与合作,弘扬“上海精神”,凝聚各方构建人类命运共同体共识,为维护国际和地区安全、稳定和发展繁荣作出更大贡献。 ## 十一、吉尔吉斯共和国总统扎帕罗夫对中华人民共和国主席习近平和中国人民给予吉尔吉斯斯坦代表团的热情友好接待表示衷心感谢,邀请习近平主席在双方方便的时候访问吉尔吉斯斯坦。
69fecf3d-e37c-4330-bacc-cc7e455727f0
web
test/raw_web_htmls/69fecf3d-e37c-4330-bacc-cc7e455727f0.html
https://sspai.com/post/97605
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# 派早报:华为正式发布了 Pura X 阔折叠手机等产品等 ## 你可能错过的新鲜事 ### 华为正式发布了 Pura X 阔折叠手机等产品 ### 欧盟要求 Apple 提高 iOS 设备与第三方硬件的兼容性 ### 皮克斯新动画《地球特派员》发布预告,6 月 20 日北美上映 ### OpenAI 推出 o1-pro 模型 ### 欧盟裁定谷歌违反反垄断法规 ## 看看就行的小道消息 ## 少数派的近期动态 ## 你可能错过的好文章
c464ee14-c0b3-4ed9-aae7-c6151408f29e
web
test/raw_web_htmls/c464ee14-c0b3-4ed9-aae7-c6151408f29e.html
https://www.woshipm.com/ai/6195829.html
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# Manus AI:颠覆性创新还是工程优化? ## Manus AI是什么? ### 技术底座:多代理虚拟机架构的工程化创新 ## Manus VS 竞品,谁更胜一筹? ### 1. 与ChatGPT:从“指挥者”到“执行者”的进化 ### 2. 与DeepSeek:开源模型 VS 闭源产品 ## Manus AI的竞争力与局限 ### 对比分析:Manus vs. ChatGPT vs. 其他AI Agent ## 企业如何用好Manus? ### 1. 适用场景与落地策略 ### 高价值场景: ### 实操建议: ### 2. 内测申请与成本评估 ## 技术、市场与伦理的三重挑战 ### 1. 技术瓶颈 ### 2. 市场竞争 ### 3. 伦理争议 ## AI Agent的本质是“效率革命”
d2838b2e-dfc9-4720-ba41-a4a57f4be92c
web
test/raw_web_htmls/d2838b2e-dfc9-4720-ba41-a4a57f4be92c.html
https://github.com/matiasmolinas/evolving-agents
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"/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[1]/span"}]}, "tags": [], "label": "code", "web_segment_id": 39, "global_sentence_id": 103, "edu_l1_label": "EDU_O"}, {"txt": " Create a virtual environmentpython -m venv venvsource venv/bin/activate # On Windows use `venv\\Scripts\\activate`# Clone the repositorygit clone https://github.com/matiasmolinas/evolving-agents.gitcd evolving-agents# Install dependencies (includes beeai-framework, openai-agents, chromadb, etc.)pip install -r requirements.txt# Install the package in editable mode (allows easy development)pip install -e .", "language": "english", "position": {"atoms": [{"position_id": 1590, "txt": " Create a virtual environment", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[1]/span"}, {"position_id": 1592, "txt": "\npython -m venv venv\n", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[1]"}, {"position_id": 1594, "txt": "source", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[2]"}, {"position_id": 1596, "txt": " venv/bin/activate ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[2]"}, {"position_id": 1598, "txt": "#", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[3]/span"}, {"position_id": 1600, "txt": " On Windows use `venv\\Scripts\\activate`", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[3]/span"}, {"position_id": 1602, "txt": "#", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[4]/span"}, {"position_id": 1604, "txt": " Clone the repository", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[4]/span"}, {"position_id": 1606, "txt": "\ngit clone https://github.com/matiasmolinas/evolving-agents.git\n", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[4]"}, {"position_id": 1608, "txt": "cd", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[5]"}, {"position_id": 1610, "txt": " evolving-agents\n\n", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[5]"}, {"position_id": 1612, "txt": "#", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[6]/span"}, {"position_id": 1614, "txt": " Install dependencies (includes beeai-framework, openai-agents, chromadb, etc.)", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[6]/span"}, {"position_id": 1616, "txt": "\npip install -r requirements.txt\n\n", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[6]"}, {"position_id": 1618, "txt": "#", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[7]/span"}, {"position_id": 1620, "txt": " Install the package in editable mode (allows easy development)", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[7]/span"}, {"position_id": 1622, "txt": "\npip install -e ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[7]"}, {"position_id": 1624, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[5]/pre/span[8]"}]}, "tags": [], "label": "code", "web_segment_id": 39, "global_sentence_id": 104, "edu_l1_label": "EDU_O"}, {"txt": "Quick Start", "language": "english", "position": {"atoms": [{"position_id": 1626, "txt": "Quick Start", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[6]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 41, "global_sentence_id": 105, "edu_l1_label": "BOS"}, {"txt": "1. Setup Environment:", "language": "english", "position": {"atoms": [{"position_id": 1628, "txt": "1. Setup Environment:", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[8]/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 42, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "# Copy the example environment filecp .env.example .env# Edit the .env file and add your API keys (e.g., OPENAI_API_KEY)# Optionally enable Intent Review:", "language": "english", "position": {"atoms": [{"position_id": 1630, "txt": "#", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[1]/span"}, {"position_id": 1632, "txt": " Copy the example environment file", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[1]/span"}, {"position_id": 1634, "txt": "\ncp .env.example .env\n\n", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[1]"}, {"position_id": 1636, "txt": "#", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[2]/span"}, {"position_id": 1638, "txt": " Edit the .env file and add your API keys (e.g., OPENAI_API_KEY)", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[2]/span"}, {"position_id": 1640, "txt": "#", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[3]/span"}, {"position_id": 1642, "txt": " Optionally enable Intent Review:", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[3]/span"}]}, "tags": [], "label": "code", "web_segment_id": 43, "global_sentence_id": 107, "edu_l1_label": "EDU_O"}, {"txt": "# INTENT_REVIEW_ENABLED=true# INTENT_REVIEW_LEVELS=design,components,intents # Choose which levels to review# nano .env OR use your preferred editor", "language": "english", "position": {"atoms": [{"position_id": 1644, "txt": "#", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[4]/span"}, {"position_id": 1646, "txt": " INTENT_REVIEW_ENABLED=true", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[4]/span"}, {"position_id": 1648, "txt": "#", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[5]/span"}, {"position_id": 1650, "txt": " INTENT_REVIEW_LEVELS=design,components,intents # Choose which levels to review", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[5]/span"}, {"position_id": 1652, "txt": "#", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[6]/span"}, {"position_id": 1654, "txt": " nano .env OR use your preferred editor", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[7]/pre/span[6]/span"}]}, "tags": [], "label": "code", "web_segment_id": 43, "global_sentence_id": 108, "edu_l1_label": "EDU_O"}, {"txt": "Configure other settings like LLM_MODEL, LLM_EMBEDDING_MODEL if needed (defaults are provided in .env.example and config.py).", "language": "english", "position": {"atoms": [{"position_id": 1656, "txt": "Configure other settings like ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[9]/em"}, {"position_id": 1658, "txt": "LLM_MODEL", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[9]/em/code[1]"}, {"position_id": 1660, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[9]/em/code[1]"}, {"position_id": 1662, "txt": "LLM_EMBEDDING_MODEL", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[9]/em/code[2]"}, {"position_id": 1664, "txt": " if needed (defaults are provided in ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[9]/em/code[2]"}, {"position_id": 1666, "txt": ".env.example", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[9]/em/code[3]"}, {"position_id": 1668, "txt": " and ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[9]/em/code[3]"}, {"position_id": 1670, "txt": "config.py", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[9]/em/code[4]"}, {"position_id": 1672, "txt": ").", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[9]/em/code[4]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 45, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "2. Run the Comprehensive Demo:", "language": "english", "position": {"atoms": [{"position_id": 1674, "txt": "2. Run the Comprehensive Demo:", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[10]/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 46, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "This demo showcases the SystemAgent orchestrating a complex task (invoice processing) based on a high-level goal.", "language": "english", "position": {"atoms": [{"position_id": 1676, "txt": "This demo showcases the ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[11]"}, {"position_id": 1678, "txt": "SystemAgent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[11]/code[1]"}, {"position_id": 1680, "txt": " orchestrating a complex task (invoice processing) based on a high-level goal.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[11]/code[1]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": " It demonstrates component discovery (potentially leveraging task-aware search), potential creation/evolution (using its internal tools), and execution.", "language": "english", "position": {"atoms": [{"position_id": 1681, "txt": " It demonstrates component discovery (potentially leveraging task-aware search), potential creation/evolution (using its internal tools), and execution.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[11]/code[1]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": " If INTENT_REVIEW_ENABLED=true is set in .env, it will pause for human review at configured stages.", "language": "english", "position": {"atoms": [{"position_id": 1682, "txt": " If ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[11]/code[1]"}, {"position_id": 1684, "txt": "INTENT_REVIEW_ENABLED=true", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[11]/code[2]"}, {"position_id": 1686, "txt": " is set in ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[11]/code[2]"}, {"position_id": 1688, "txt": ".env", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[11]/code[3]"}, {"position_id": 1690, "txt": ", it will pause for human review at configured stages.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[11]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "python examples/invoice_processing/architect_zero_comprehensive_demo.py", "language": "english", "position": {"atoms": [{"position_id": 1692, "txt": "python examples/invoice_processing/architect_zero_comprehensive_demo.py", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[8]/pre"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "3. Explore Output:", "language": "english", "position": {"atoms": [{"position_id": 1694, "txt": "3. Explore Output:", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[12]/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 50, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "After the demo runs, check the generated files in the main directory (or as specified in the demo script):", "language": "english", "position": {"atoms": [{"position_id": 1696, "txt": "After the demo runs, check the generated files in the main directory (or as specified in the demo script):", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "final_processing_output.json:", "language": "english", "position": {"atoms": [{"position_id": 1698, "txt": "final_processing_output.json", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/ul[3]/li[1]/code[1]"}, {"position_id": 1700, "txt": ":", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/ul[3]/li[1]/code[1]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 52, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": " Contains the final structured JSON result from the SystemAgent, potentially including its detailed thought process log.", "language": "english", "position": {"atoms": [{"position_id": 1701, "txt": " Contains the final structured JSON result from the ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/ul[3]/li[1]/code[1]"}, {"position_id": 1703, "txt": "SystemAgent", "x": 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Molinas", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/ul[6]/li[5]/a[1]"}, {"position_id": 2025, "txt": " and ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/ul[6]/li[5]/a[1]"}, {"position_id": 2027, "txt": "Ismael Faro", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/ul[6]/li[5]/a[2]"}, {"position_id": 2029, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/ul[6]/li[5]/a[2]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 97, "global_sentence_id": 204, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# Evolving Agents Toolkit (EAT) ## Why Evolving Agents Toolkit for AI-First? ## Key Features ## Installation ## MongoDB Setup ### 1. Set up MongoDB: ### 2. Configure Vector Search Indexes (CRITICAL for SmartLibrary & SmartAgentBus): ### 3. Environment Variables: ## Quick Start ### 1. Setup Environment (after MongoDB setup): ### 2. Run the Comprehensive Demo: ### 3. Explore Output: ## Dive Deeper ## Roadmap / Future Work ## License ### ·Core Smart Memory Components Integrated: ### ·Current Example Status: ### ·⚠️ Important Note for Users & Testers: ### ·Coming Soon:
58e67bc7-e128-421d-b551-dc42d5b1bc29
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"从中秋、国庆动销情况看,预计中低价格带同比基本持平,次高端和高端预计有所下滑。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.374, 0.155, 0.928, 0.168], [0.285, 0.18, 0.426, 0.192]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "其中,300 元以内价位以大众消费为主、成长性相对较好,400 元以上价位商务需求较为疲软。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.426, 0.18, 0.928, 0.192], [0.285, 0.204, 0.515, 0.216]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "我们预计Q4 及开门红压力仍在,但考虑到目前市场预期较为悲观,实际销售表现或更加平稳。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.321, 0.237, 0.928, 0.25], [0.285, 0.262, 0.409, 0.274]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "25 年报表端或以调整为主,但此前几轮白酒周期的经验证明,经过需求-渠道-现金流-利润表的漫长传导后,白酒投资大年是利润表筑底的一年。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.409, 0.262, 0.928, 0.274], [0.285, 0.286, 0.892, 0.298]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "若酒企目标理性设定,渠道库存通过旺季持续去化,行业累积的包袱卸掉,行业将进入更加健康的新阶段。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.892, 0.286, 0.928, 0.298], [0.285, 0.31, 0.928, 0.323], [0.285, 0.334, 0.446, 0.347]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "25H2 白酒企业将大面积进入低基数,现阶段酒企25 年目标设定对本轮白酒周期走势非常重要。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.446, 0.334, 0.928, 0.347], [0.285, 0.359, 0.553, 0.371]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "从量价角度来看,酒企目前积极维护核心产品价格,非核心产品若以价换量,则白酒整体价格带仍有层层踩踏的风险。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.553, 0.359, 0.928, 0.371], [0.285, 0.383, 0.832, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "个股方面,贵州茅台已发布2024 年度生产经营情况公告,经公司初步核算,2024 年度公司预计实现营业总收入约1738 亿元,同比增长约15.44%;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.33, 0.417, 0.928, 0.429], [0.285, 0.44, 0.839, 0.453]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "预计实现归母净利润约857 亿元,同比增长约14.67%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.839, 0.44, 0.928, 0.453], [0.285, 0.465, 0.63, 0.477]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "其中,公司24Q4 预计实现营收506.77亿元,同比增长12.01%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.63, 0.465, 0.928, 0.478], [0.285, 0.489, 0.477, 0.502]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "公司年初制定的经营目标为营业总收入较上年增长同比15%左右,今年顺利完成,龙头实力在压力环境下进一步凸显。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.477, 0.489, 0.928, 0.503], [0.285, 0.513, 0.746, 0.526]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "分系列看,2024 年公司系统梳理形成陈年、飞天、低度三大系列为主体的“橄榄型”产品结构,推进了60余款新品开发。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.746, 0.513, 0.928, 0.526], [0.285, 0.538, 0.924, 0.551], [0.285, 0.562, 0.409, 0.574]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "2025 年,公司已明确“保持飞天53 度500ml 茅台酒价格相对稳定”的目标,将调整飞天和珍品等产品的投放量,进一步强化普茅大单品作为橄榄型产品矩阵“金字塔”底座的地位,增量主要通过开发750ml、700ml 等规格的茅台酒新品及非标产品贡献。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.409, 0.562, 0.934, 0.574], [0.285, 0.586, 0.928, 0.599], [0.285, 0.611, 0.928, 0.623], [0.285, 0.635, 0.444, 0.647]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "系列酒方面,2025 年系列酒预计进一步承担公司增长主引擎,帮助茅台酒缓解压力、维稳价格。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.321, 0.668, 0.928, 0.681], [0.285, 0.693, 0.427, 0.705]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "2025 年茅台酱香酒公司的任务目标为销售额增速不低于贵州茅台过去5 年的平均增速(约14%)。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.427, 0.693, 0.928, 0.705], [0.285, 0.717, 0.554, 0.729]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "在费用投入方面,茅台酱香酒明年投入费用额度较2024 年计划增加15 亿元,增幅超50%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.554, 0.717, 0.928, 0.729], [0.285, 0.741, 0.622, 0.754]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": "其中,大单品茅台1935 将以500-800 元价格段,围绕长三角、珠三角、京津冀等地区精耕;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.622, 0.741, 0.928, 0.754], [0.285, 0.765, 0.696, 0.778]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "此外,公司力争用2 年左右时间把茅台王子打造成茅台酱香酒的第二支百亿元大单品,预计或将加大铺货和投入力度,进一步抢夺大众消费市场。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.696, 0.765, 0.928, 0.778], [0.285, 0.79, 0.928, 0.802], [0.285, 0.814, 0.55, 0.826]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "此外,近期五粮液多地暂停供货。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.321, 0.847, 0.588, 0.86]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "我们认为,虽然旺季停货较为罕见,但普五批价走势现阶段对经销商回款等方面也有较大影响,挺价重要性较高。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.588, 0.847, 0.928, 0.86], [0.285, 0.872, 0.838, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "当前普五渠道库存相对不高,在旺季刚需的促进下,预计停货对价格的影响预计在相对短的时间内可实现。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.838, 0.872, 0.928, 0.884], [0.285, 0.896, 0.928, 0.908], [0.285, 0.92, 0.392, 0.933]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": "根据酒价参考,普五1 月10 日当天批价已上涨5 元。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.392, 0.92, 0.812, 0.933]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "结合1218 经销", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.812, 0.92, 0.928, 0.933]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.073, 0.966, 0.208, 0.977]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 115, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.728, 0.966, 0.911, 0.978]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 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"language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.48, 0.152, 0.936, 0.164], [0.285, 0.176, 0.696, 0.189]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "建议关注保价控量、具备降维打击、市占率提升能力的茅台、五粮液,以及alpha 势能延续的汾酒、古井。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.696, 0.176, 0.928, 0.189], [0.285, 0.2, 0.885, 0.213]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "2 啤酒", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.0, 0.0, 0.0, 0.0], [0.357, 0.265, 0.397, 0.279]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 10, "global_sentence_id": 125, "edu_l1_label": "BOS"}, {"txt": "本周,青岛啤酒/华润啤酒/燕京啤酒/重庆啤酒/珠江啤酒/乐惠国际涨跌幅分别为2.4%/7.52%/-0.18%/2.88%/1.31%/-0.92%", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.321, 0.292, 0.927, 0.305]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": "销量方面,我们预计25 年全年啤酒销量将保持稳定,而啤酒板块各公司由于基地市场的不同,销量方面预计将有所差异。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.321, 0.347, 0.928, 0.36], [0.285, 0.372, 0.62, 0.384]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "高端化方面,由于此前高端餐饮前期恢复进度略低于预期,一定程度上压制了高端档次啤酒的销售,但在各厂商高端化战略下,吨酒价格增速持续,23 年华润啤酒、青岛啤酒均保持了吨酒价格增速的中单位数增长,考虑到啤酒价格绝对值较低我们预计高端化趋势将得以延续。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.321, 0.405, 0.928, 0.418], [0.285, 0.43, 0.928, 0.442], [0.285, 0.454, 0.919, 0.466], [0.285, 0.478, 0.55, 0.49]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "展望2025 年,我们认为啤酒市场总量增长预计较为有限,收入端增长主要来自结构升级,当前啤酒高端化升级方兴未艾,而高端啤酒更高毛利的属性,预计也将持续抬升各厂商的盈利水平。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.321, 0.512, 0.928, 0.524], [0.285, 0.536, 0.928, 0.548], [0.285, 0.56, 0.517, 0.573]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "同时,在我国终止对原产于澳大利亚的进口大麦征收反倾销税和反补贴税的背景下,大麦价格的下行预计将给啤酒企业贡献高端化以外的盈利弹性。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.517, 0.56, 0.928, 0.573], [0.285, 0.584, 0.928, 0.597], [0.285, 0.609, 0.391, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "重点推荐高端化核心标的青岛啤酒、提效改革叠加大单品逻辑的燕京啤酒", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.321, 0.642, 0.887, 0.655]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "3 软饮料", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.0, 0.0, 0.0, 0.0], [0.357, 0.707, 0.418, 0.721]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "本周,东鹏饮料/李子园/香飘飘/承德露露/养元饮品/农夫山泉/欢乐家这几大主要软饮料上市企业的涨跌幅分别为-1.21%/0.09%/-0.76%/-1.72%/-1.36%/0.98%/0.42%本周,东鹏饮料/李子园/香飘飘/承德露露/养元饮品/农夫山泉/欢乐家这几大主要软饮料上市企业的涨跌幅分别为-1.21%/0.09%/-0.76%/-1.72%/-1.36%/0.98%/0.42%对比食品饮料板块的超额收益分别为-3.55%/-2.25%/-3.1%/-4.06%/-3.7%/-1.36%/-1.92%", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.321, 0.734, 0.928, 0.747], [0.285, 0.758, 0.91, 0.772], [0.285, 0.783, 0.928, 0.795]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "我们维持此前观点,认为饮料板块中的个别公司有一定的超额收益机会,主要来自单个企业展现的复苏形态。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.321, 0.838, 0.928, 0.85], [0.285, 0.862, 0.532, 0.874]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": "总体来看,我们认为饮料板块复苏态势显著,但投资机会更多为个股α而非板块β,对于在该板块寻找投资机会而言,我们认为应精选具备两大要素的企业:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.321, 0.895, 0.928, 0.908], [0.285, 0.92, 0.902, 0.932]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.072, 0.966, 0.209, 0.977]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 136, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.727, 0.966, 0.91, 0.977]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 137, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.485, 0.968, 0.496, 0.975]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 138, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.086, 0.018, 0.364, 0.061]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 139, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.702, 0.05, 0.926, 0.063]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 140, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.013, 0.017, 0.083, 0.036]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 141, "edu_l1_label": "EDU_O"}, {"txt": "1)所处赛道潜力高:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.321, 0.07, 0.488, 0.082]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "在负贝塔环境中寻找阿尔法机会,往往收益也将被一定程度上抵消,因此我们应首选具备增长潜力的细分赛道,如无糖茶、能量饮料、植物蛋白饮料等;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.488, 0.07, 0.928, 0.082], [0.285, 0.094, 0.928, 0.107], [0.285, 0.118, 0.391, 0.131]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "2)企业自身管理能力优秀:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.321, 0.151, 0.541, 0.164]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "若企业自身管理能力较强,加之行业向好发展,往往能够取得较强的市场地位,基本面将同时享受行业扩容和格局改善的双重提振,而EPS 的高增往往伴随着市场信心的增强,PE 扩张将有望收获戴维斯双击的收益。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.541, 0.151, 0.928, 0.164], [0.285, 0.176, 0.928, 0.189], [0.285, 0.2, 0.931, 0.213]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "建议关注:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.325, 0.234, 0.413, 0.246]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "1)功能饮料赛道龙头且逐步探索出第二增长曲线的东鹏饮料;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.413, 0.234, 0.885, 0.247]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "2)基本面具备积极预期的香飘飘。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.885, 0.234, 0.928, 0.246], [0.285, 0.258, 0.515, 0.271]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 148, "edu_l1_label": "IOS"}, {"txt": "4 预调酒", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.0, 0.0, 0.0, 0.0], [0.357, 0.323, 0.418, 0.337]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 149, "edu_l1_label": "BOS"}, {"txt": "市场普遍对预调酒行业销量能否实现持续增长有一定的分歧,我们认为未来预调酒行业的规模将稳定扩张。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.321, 0.35, 0.928, 0.363], [0.285, 0.375, 0.515, 0.387]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "a)从大方向出发,低度酒板块为全球销量占比最大的酒饮市场,我们认为伴随消费场景的持续丰富和消费习惯在代际变迁下的多样化,板块或存在结构性机会,而预调酒作为我国最具创新潜力的一大低度酒品类,预计将受益于该类消费趋势。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.321, 0.408, 0.928, 0.42], [0.285, 0.432, 0.928, 0.445], [0.285, 0.456, 0.902, 0.469]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "b)从行业出发,我们认为当前大众对预调酒的认知逐步提升,匹配的消费场景也逐渐开辟,如露营、飞盘、桌游等,行业已步入健康发展道路,预计行业规模将伴随新消费群体的崛起、新场景的开辟及消费习惯的高线城市化而有序扩容。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.321, 0.49, 0.928, 0.502], [0.285, 0.514, 0.928, 0.527], [0.285, 0.539, 0.867, 0.551]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "我们认为,当前我国预调酒行业未来发展预计有三大路径:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.321, 0.572, 0.779, 0.584]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "1)城镇化率提升带动消费习惯高线化,预调酒触达面积增大,行业渗透率被动提升;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.779, 0.572, 0.928, 0.584], [0.285, 0.596, 0.803, 0.609]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "2)“她经济”进一步发展,同时Z 世代崛起承接酒类主要消费群体,新消费场景和分众化的消费需求成为主流趋势,驱动具备个性化基因的预调酒行业扩容;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.803, 0.596, 0.928, 0.609], [0.285, 0.621, 0.928, 0.633], [0.285, 0.645, 0.761, 0.657]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "3)行业供给侧推力增强,市场教育力度提升,即参与者增多,包括但不限于传统啤酒、饮料企业;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.761, 0.645, 0.928, 0.657], [0.285, 0.669, 0.892, 0.682]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "切割不同细分市场的大单品频频涌现,连线成面带动消费者认知深化。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.892, 0.669, 0.928, 0.682], [0.285, 0.693, 0.797, 0.706]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "我们认为我国预调酒行业仍处于发展初期,消费人群和场景仍在培育中,短期内行业规模主升浪仍需要素积累,包括但不限于城镇化率提升、啤酒高端化增速放缓等,但长期来看,随着Z 世代崛起、消费场景的多元化,行业具备较大增长空间。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.321, 0.727, 0.928, 0.739], [0.285, 0.751, 0.928, 0.764], [0.285, 0.775, 0.937, 0.788]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "百润股份作为预调酒行业龙头企业,公司历史行情通常为大单品所驱动的PE扩张,行情较快,操作上更适合左侧布局,目前公司威士忌已正式上市,当前公司25 年PE 为28 倍上下,我们认为具备较大赔率,重点推荐。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.321, 0.809, 0.928, 0.822], [0.285, 0.833, 0.928, 0.846], [0.285, 0.857, 0.754, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "Un 乳制品", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.0, 0.0, 0.0, 0.0], [0.357, 0.922, 0.418, 0.936]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 10, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.072, 0.966, 0.208, 0.977]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 161, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.728, 0.966, 0.911, 0.977]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 162, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.482, 0.968, 0.496, 0.975]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 163, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.284, 0.924, 0.298, 0.936]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 164, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.086, 0.018, 0.364, 0.061]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 165, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.702, 0.05, 0.927, 0.063]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 166, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.013, 0.017, 0.083, 0.036]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 167, "edu_l1_label": "EDU_O"}, {"txt": "2 月7 日,主产区生鲜乳平均价3.12 元/公斤,环比1 月底-0.32%;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.321, 0.07, 0.839, 0.082]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "本周,伊利股份/ 蒙牛乳业/ 光明乳业/ 天润乳业/ 新乳业涨跌幅分别为1.14%/5.79%/0.37%/3.94%/4.5% ,对比食品饮料板块的超额收益分别为-1.2%/3.45%/-1.97%/1.6%/2.16%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.839, 0.07, 0.928, 0.082], [0.285, 0.094, 0.928, 0.107], [0.285, 0.118, 0.928, 0.131], [0.285, 0.142, 0.545, 0.155]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "我们预计24 年原奶价格仍处于下行区间,企业端的降本控费、龙头乳企追求净利率目标、区域乳企新品新渠道的拓展拉动营收增长仍将是整个竞争格局的主旋律,双寡头伊利蒙牛的竞争趋于常态化,并且全国性乳企也在布局低温品类,蚕食区域乳企的竞争优势,全国性乳企的竞争优势更加明确。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.545, 0.142, 0.928, 0.155], [0.285, 0.167, 0.928, 0.179], [0.285, 0.191, 0.928, 0.203], [0.285, 0.215, 0.937, 0.228]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "我们认为产能去化仍需时间,奶价短期还将在低位,供需平衡的拐点预计将在25 年下半年到来。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.285, 0.24, 0.928, 0.252], [0.285, 0.264, 0.391, 0.276]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "重点推荐:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.321, 0.297, 0.41, 0.31]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 172, "edu_l1_label": "IOS"}, {"txt": "利润导向明显的全国乳企巨头伊利股份,关注其产品结构优化带来的毛利率改善情况以及费用率投放情况.建议关注低温奶乳企新乳业", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.41, 0.297, 0.928, 0.31], [0.285, 0.322, 0.803, 0.334]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": "6 休闲食品", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.0, 0.0, 0.0, 0.0], [0.357, 0.386, 0.438, 0.4]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 174, "edu_l1_label": "BOS"}, {"txt": "我国休闲零食行业受渠道革新红利影响较大,由于量贩零食渠道重度红利期已过,市场对板块渠道红利可持续性有一定担忧。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.321, 0.414, 0.928, 0.426], [0.285, 0.438, 0.66, 0.45]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": "我们认为,长期来看,量贩零食市场距离饱和期还有较远距离,从万辰集团的表现来看,受收入规模增长和门店密度的提升,量贩零食业务规模效应日益显现,同时仓储利用率和周转效率、拓展和运营人效持续提升,物流费率不断优化,推动量贩零食业务的费效比有效提升,带动量贩净利率仍在持续提升。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.66, 0.438, 0.928, 0.45], [0.285, 0.462, 0.928, 0.475], [0.285, 0.487, 0.928, 0.499], [0.285, 0.511, 0.928, 0.523], [0.285, 0.535, 0.497, 0.547]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 176, "edu_l1_label": "IOS"}, {"txt": "今年前三季度,万辰量贩零食业务累计营收202.28 亿元,净利润3.92 亿元,剔除计提的股份支付费用后净利润5.41 亿元;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.497, 0.535, 0.937, 0.547], [0.285, 0.559, 0.79, 0.572]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": "单三季度实现累计营收95.54 亿元,净利润2.01 亿元,剔除计提的股份支付费用后净利润2.61 亿元。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.79, 0.559, 0.928, 0.572], [0.285, 0.584, 0.933, 0.596]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": "随着龙头企业大量收并购,现阶段门店数量已不再是龙头企业的最高目标,随着行业格局逐渐清晰,量贩龙头在发展速度上更追求高质量、可持续地发展,行业从野蛮快速增长逐渐进入健康发展新阶段", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.285, 0.608, 0.928, 0.62], [0.285, 0.632, 0.928, 0.644], [0.285, 0.656, 0.567, 0.669]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "此外,2024 年12 月18 日,微信团队宣布,微信小店正式开启“送礼物”功能的灰度测试,除去珠宝首饰、教育培训两个类目,商品款式原价不高于1 万元的商品将默认支持“送礼物”功能,带动板块大涨。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.321, 0.69, 0.928, 0.702], [0.285, 0.714, 0.928, 0.727], [0.285, 0.738, 0.66, 0.751]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "节日需求叠加腾讯社交功能的一个过往案例是2015 年微信与央视春晚达成合作,用户可以通过微信“摇一摇”抢红包,微信官方数据显示,除夕当天微信用户互动总量达110 亿次,微信钱包绑卡用户突破2 亿,除夕至初八期间吸引超800 万用户。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.66, 0.738, 0.928, 0.751], [0.285, 0.763, 0.937, 0.775], [0.285, 0.787, 0.928, 0.799], [0.285, 0.811, 0.642, 0.824]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "我们认为,从长期视角来看,微信作为即时通讯APP,用户规模和用户使用频次上具有先天优势;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.642, 0.811, 0.928, 0.824], [0.285, 0.835, 0.767, 0.848]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "从短期视角看,年货节拉开序幕,礼赠作为电商新场景,品牌受益大于白牌;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.767, 0.835, 0.928, 0.848], [0.285, 0.86, 0.731, 0.872]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": "个股中,产品属性中礼赠属性较强、同时企业相对重视线上流量打造的企业或将率先收益。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.731, 0.86, 0.928, 0.872], [0.285, 0.884, 0.797, 0.896]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": "零食步入年货节旺季、经销商备货积极叠加新渠道微信小店的催化,板块景气度维持在较好水平。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.321, 0.918, 0.928, 0.93], [0.285, 0.942, 0.445, 0.954]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "建议关注西麦食品、甘源食品、三只松鼠。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.445, 0.942, 0.781, 0.954]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.072, 0.966, 0.208, 0.977]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 187, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.727, 0.966, 0.91, 0.977]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 188, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.486, 0.968, 0.496, 0.975]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 189, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.701, 0.05, 0.927, 0.063]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 190, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.086, 0.018, 0.364, 0.062]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 191, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.014, 0.017, 0.083, 0.036]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 192, "edu_l1_label": "EDU_O"}, {"txt": "7 调味品&餐产供应链", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.0, 0.0, 0.0, 0.0], [0.357, 0.101, 0.535, 0.115]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 6, "global_sentence_id": 193, "edu_l1_label": "BOS"}, {"txt": "本周(2.10-2.14)调味发酵品/预加工食品板块行情整体回暖,周涨跌幅分别达-0.51%/+3.21%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.321, 0.128, 0.928, 0.141], [0.285, 0.152, 0.415, 0.165]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "主要标的表现方面,海天味业、安琪酵母、涪陵榨菜、天味食品、主要标的表现方面,海天味业、安琪酵母、涪陵榨菜、天味食品、中炬高新、安井食品、千味央厨本周对应涨跌幅分别为-1.46%/+2.49%/+0.75%/-2.04%/-2.26%/+4.84%/+2.84%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.415, 0.152, 0.928, 0.165], [0.285, 0.177, 0.928, 0.189]]}]}, "tags": ["text"], "label": "content", 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# 食品饮料春节旺季平稳度过,把握顺周期回升机会 ## 投资要点: ### 【白酒】考虑到板块仓位回落幅度及时长相对充分,白酒作为顺周期板块,预期带动估值修复往往先于基本面。从估值端来看,目前白酒板块虽较Q2极低位置有所修复,但从历史估值来看仍处于较低水平,安全边际足够。建议关注保价控量、具备降维打击、市占率提升能力的茅台、五粮液,以及alpha 势能延续的汾酒、古井。 ### 【啤酒】重点推荐高端化核心标的青岛啤酒、提效改革叠加大单品逻辑的燕京啤酒。 ### 【软饮料】建议关注: ### 【预调酒】百润股份作为预调酒行业龙头企业,公司历史行情通常为大单品所驱动的PE 扩张,行情较快,操作上更适合左侧布局,目前公司威士忌已正式上市,当前公司25 年PE 为28 倍上下,我们认为具备较大赔率。 ### 【乳制品】重点推荐利润导向明显的全国乳企巨头伊利股份,关注其产品结构优化带来的毛利率改善情况以及费用率投放情况。 ### 【休闲零食】年货旺季叠加新渠道微信小店的催化,板块景气度维持在较好水平。建议关注西麦食品、甘源食品、三只松鼠。 ### 【调味品&餐饮】调味品重点推荐安琪酵母:国内量的韧性强、海外增长势能高,新榨季成本红利释放有望提振公司业绩增长弹性。中炬高新:旺季、渠道备货前置叠加低基数催化下,改革红利逐步兑现等有助于盈利延续高弹性。推荐天味食品、宝立食品、安井食品。 ### 【烘焙供应链】烘焙供应链重点推荐立高食品:稀奶油高增,商超、餐茶饮渠道持续华福证券扩张,全年业绩弹性较强;海融科技:未来出海逻辑最为通顺,已有海外产能&渠道且有扩产预期,有望持续放量。 ### 【保健品&代糖】长期来看“银发一族”和“年轻一代”作为驱动行业增长的核心群体,在健康意识提升、老龄化背景下,行业发展动能充足、空间广阔。重点推荐百龙创园:膳食纤维、阿洛酮糖、益生元品类增长动能充足,关税落地成长无虞;建议关注:汤臣倍健、百合股份、科拓生物、莱茵生物(天然植提甜味剂)、华康股份(糖醇类甜味剂)。 ### 【餐饮】极致化供应链,快餐龙头的百胜中国;餐饮、食品以及宾馆业务三轮驱动,协同发展的同庆楼;业务立品牌,食品业务带来新增长的广州酒家;深耕下沉餐饮市场的呷哺呷哺。建议关注:海底捞、九毛九、全聚德、茶百道、小菜园。 ### 【宠物】推荐海内外双循环的中宠股份,自有品牌三大要素齐具的乖宝宠物,境外业务同环比改善、境内业务持续布局的佩蒂股份,出口业务具有较强弹性的依依股份,建议关注:流动性改善带来估值回升的路斯股份,食品和用品双轮驱动的源飞宠物。 ### 【黄金珠宝】需持续关注高金价下终端消费情况,等待旺季表现。推荐:产品及渠道双增长的潮宏基;结构调整基本完成,高股息的周大生;拥有强渠道和强品牌力,股改焕发新增长的老凤祥。 ### 风险提示 ## 一白酒 ## 2 啤酒 ## 3 软饮料 ## 4 预调酒 ## Un 乳制品 ## 6 休闲食品 ## 7 调味品&餐产供应链 ## 8 烘焙供应链 ## 0 保健品&食品添加剂 ## 10餐饮 ### 海底捞持续推陈出新,为企业餐饮树立行业新标杆。 ### 中国茶饮业迈入“万店时代”,综合实力铸就蜜雪冰城王座。 ## 11宠物 ## 12黄金珠宝 ## 13 风险提示
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# 业绩短期承压,AI+信创加速落地 2025年4月8日 ## ·事件: ## ·短期业绩承压,下半年经营情况逐渐好转。 ## ·深度整合前沿技术,云与数据业务稳步推进。 ## ·子公司电科金仓稳健增长,信创产业提速有望带来业绩增量。 ## ·投资建议: ## ·风险提示:
79bca098-c1da-4806-9972-e5863f3cced3
web
test/raw_web_htmls/79bca098-c1da-4806-9972-e5863f3cced3.html
https://mp.weixin.qq.com/s/wUKO7-Azwd8ox8DENppKXQ
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"广告的目的是得够直接,展示产品的优势,让消费者认识到产品能够满足他们的需求,从而转化销售。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[88]/span"}]}, "tags": [], "label": "content", "web_segment_id": 126, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "下面这几类行业就非常适合品类为中心的营销策略。", "language": "chinese", "position": {"atoms": [{"position_id": 1021, "txt": "下面这几类行业就非常适合品类为中心的营销策略。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[89]/span"}]}, "tags": [], "label": "content", "web_segment_id": 127, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "1)日用品、食品等功能性较强的行业。", "language": "chinese", "position": {"atoms": [{"position_id": 1023, "txt": "1)日用品、食品等功能性较强的行业。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[90]/span/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 128, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "产品同质化程度较高,消费者在购买时更注重产品的功能和性价比,因此可以通过强调产品的特点和优势来吸引消费者。", "language": "chinese", "position": {"atoms": [{"position_id": 1025, "txt": "产品同质化程度较高,消费者在购买时更注重产品的功能和性价比,因此可以通过强调产品的特点和优势来吸引消费者。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[91]/span"}]}, "tags": [], "label": "content", "web_segment_id": 129, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "2)标准化程度较高的行业,如电子产品、家电等。", "language": "chinese", "position": {"atoms": [{"position_id": 1027, "txt": "2)标准化程度较高的行业,如电子产品、家电等。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[92]/span/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 130, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "这些行业的产品在功能、规格等方面比较容易标准化,消费者在购买时更注重产品的性能和质量,因此可以通过广告宣传产品的卖点来吸引消费者。", "language": "chinese", "position": {"atoms": [{"position_id": 1029, "txt": "这些行业的产品在功能、规格等方面比较容易标准化,消费者在购买时更注重产品的性能和质量,因此可以通过广告宣传产品的卖点来吸引消费者。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[93]/span"}]}, "tags": [], "label": "content", "web_segment_id": 131, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": "但我认为需要注意的是,这两种营销战略并不是完全相互排斥,也没有说一定是A对B错,“广告”在效率优势是远大于单纯“内容”获取自然流,结合使用找出最优的组合搭配才是必要的。", "language": "chinese", "position": {"atoms": [{"position_id": 1031, "txt": "但我认为需要注意的是,这两种营销战略并不是完全相互排斥,也没有说一定是A对B错,“广告”在效率优势是远大于单纯“内容”获取自然流,结合使用找出最优的组合搭配才是必要的。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[94]/span"}]}, "tags": [], "label": "content", "web_segment_id": 132, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "03 小红书,该怎么用好?", "language": "chinese", "position": {"atoms": [{"position_id": 1033, "txt": "03 小红书,该怎么用好?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[95]/span[1]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 133, "global_sentence_id": 122, "edu_l1_label": "BOS"}, {"txt": "我发现刀法嘉宾分享的内容,60%以上的内容都在讲小红书怎么玩,不知道是否和刀法聚焦新消费等国内头部品牌营销分享有关,小红书确实是一个比较好去做高净值人群的平台。", "language": "chinese", "position": {"atoms": [{"position_id": 1035, "txt": "我发现刀法嘉宾分享的内容,60%以上的内容都在讲小红书怎么玩,不知道是否和刀法聚焦新消费等国内头部品牌营销分享有关,小红书确实是一个比较好去做高净值人群的平台。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[96]/span"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "但有个问题是,除了刀法的分享,包括我看到很多市面分享更多是讲小红书内的自然流和付费流的玩法,其实还不够全面的点在于,从小红书公域到小红书私域或者微信私域的打法分享,目前市面是少之又少,反而在我这类做一线实战陪跑的从业者才会看到类似的观点。", "language": "chinese", "position": {"atoms": [{"position_id": 1037, "txt": "但有个问题是,除了刀法的分享,包括我看到很多市面分享更多是讲小红书内的自然流和付费流的玩法,其实还不够全面的点在于,从小红书公域到小红书私域或者微信私域的打法分享,目前市面是少之又少,反而在我这类做一线实战陪跑的从业者才会看到类似的观点。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[97]/span"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "但可能从侧面反映一点,目前大多商家痛点是在小红书公域完全玩不明白。", "language": "chinese", "position": {"atoms": [{"position_id": 1039, "txt": "但可能从侧面反映一点,目前大多商家痛点是在小红书公域完全玩不明白。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[98]/span"}]}, "tags": [], "label": "content", "web_segment_id": 136, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": "所以,小红书私域和跨平台私域运营才是下一阶段再考虑的课题。", "language": "chinese", "position": {"atoms": [{"position_id": 1040, "txt": "所以,小红书私域和跨平台私域运营才是下一阶段再考虑的课题。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[98]/span"}]}, "tags": [], "label": "content", "web_segment_id": 136, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": "1、用好小红书,是大大的痛点", "language": "chinese", "position": {"atoms": [{"position_id": 1042, "txt": "1、用好小红书,是大大的痛点", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[99]/span/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 137, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2jl2ON3t6YGYbaoeq4lS5sv.png", "language": "chinese", "position": {"atoms": [{"position_id": 305, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2jl2ON3t6YGYbaoeq4lS5sv.png", "x": 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"txt": "-产品进入衰退期后,需要努力维持,企业面临放弃或抢救的抉择;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[103]/span"}]}, "tags": [], "label": "content", "web_segment_id": 141, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "-曾经的明星产品也需要不断创新和维护。", "language": "chinese", "position": {"atoms": [{"position_id": 1050, "txt": "-曾经的明星产品也需要不断创新和维护。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[104]/span"}]}, "tags": [], "label": "content", "web_segment_id": 142, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "-如何投放给对的目标用户、投放后效果不好如何解决以及监测哪些指标才有效等问题也亟待解决。", "language": "chinese", "position": {"atoms": [{"position_id": 1052, "txt": "-如何投放给对的目标用户、投放后效果不好如何解决以及监测哪些指标才有效等问题也亟待解决。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[105]/span"}]}, "tags": [], "label": "content", "web_segment_id": 143, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "这分享者总结了一套ODAR的小红书运营方法论,帮助大家系统定位小红书公域投放的打法。", "language": "chinese", "position": {"atoms": 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136, "edu_l1_label": "EDU_O"}, {"txt": "是一种以结果为导向,通过洞察、诊断、资源配置和监测来优化运营效果的方法,一共分为四个阶段:", "language": "chinese", "position": {"atoms": [{"position_id": 1058, "txt": "是一种以结果为导向,通过洞察、诊断、资源配置和监测来优化运营效果的方法,一共分为四个阶段:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[109]/span"}]}, "tags": [], "label": "content", "web_segment_id": 147, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "Observe(洞察阶段)、Diagnose(诊断阶段)、Allocate(资源配置)、Result(结果导向)", "language": "chinese", "position": {"atoms": [{"position_id": 1060, "txt": "Observe(洞察阶段)、Diagnose(诊断阶段)、Allocate(资源配置)、Result(结果导向)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[110]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 148, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "前面定性阶段,不作解释,后面两个定量和实操动作,有有三个关键词,我认为有必要给大家划重点:", "language": "chinese", "position": {"atoms": [{"position_id": 1062, "txt": "前面定性阶段,不作解释,后面两个定量和实操动作,有有三个关键词,我认为有必要给大家划重点:", "x": 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"这也是官方鼓励的水上打法,而对于我们做私域运营来说,付费流能带来稳定流量,但同时线索成本就高,那么在水下有大量对抗平台的玩法,矩阵和兼职等方式进行线索获取。", "language": "chinese", "position": {"atoms": [{"position_id": 1068, "txt": "这也是官方鼓励的水上打法,而对于我们做私域运营来说,付费流能带来稳定流量,但同时线索成本就高,那么在水下有大量对抗平台的玩法,矩阵和兼职等方式进行线索获取。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[114]/span"}]}, "tags": [], "label": "content", "web_segment_id": 152, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "对于商家来说,获客的路子除了看官方打法,野生思路也是值得借鉴及参考。", "language": "chinese", "position": {"atoms": [{"position_id": 1069, "txt": "对于商家来说,获客的路子除了看官方打法,野生思路也是值得借鉴及参考。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[114]/span"}]}, "tags": [], "label": "content", "web_segment_id": 152, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "2)“人群资产规模”和“人群渗透率”", "language": "chinese", "position": {"atoms": [{"position_id": 1071, "txt": "2)“人群资产规模”和“人群渗透率”", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[115]/span/strong/span"}]}, "tags": ["strong"], "label": "title3", "web_segment_id": 153, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "以笔记和算法为王的平台上,为什么要注重人群资产规模和人群渗透率呢?", "language": "chinese", "position": {"atoms": [{"position_id": 1073, "txt": "以笔记和算法为王的平台上,为什么要注重人群资产规模和人群渗透率呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[116]/span"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "核心就是为投放决策提供参考意见。", "language": "chinese", "position": {"atoms": [{"position_id": 1074, "txt": "核心就是为投放决策提供参考意见。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[116]/span"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "① 人群资产规模:", "language": "chinese", "position": {"atoms": [{"position_id": 1076, "txt": "① 人群资产规模:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[117]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 155, 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"根据监测结果优化内容,使其更符合用户需求和市场趋势,同时优化人群渗透模型,提高营销效果和市场份额。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[162]/span"}]}, "tags": [], "label": "content", "web_segment_id": 200, "global_sentence_id": 216, "edu_l1_label": "IOS"}, {"txt": "我梳理这两个案例所隐藏的思考要点,其实很多方法也是适用“在私域中如何把新品打爆”的策略思考中,区别在于投放工具不同和人群包更聚焦,其他内容策略上是一致的。", "language": "chinese", "position": {"atoms": [{"position_id": 1190, "txt": "我梳理这两个案例所隐藏的思考要点,其实很多方法也是适用“在私域中如何把新品打爆”的策略思考中,区别在于投放工具不同和人群包更聚焦,其他内容策略上是一致的。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[163]/span"}]}, "tags": [], "label": "content", "web_segment_id": 201, "global_sentence_id": 217, "edu_l1_label": "IOS"}, {"txt": "3、CCTC投放增长模型", "language": "chinese", "position": {"atoms": [{"position_id": 1192, "txt": "3、CCTC投放增长模型", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[164]/span/strong/span"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 202, "global_sentence_id": 218, "edu_l1_label": "IOS"}, {"txt": "下面的这个CCTC的投放增长模型已经非常清晰,更是全域运营的模型,我试图对这模型进行梳理,场景-内容-人群-货品-私域的全域增长模型要点:", "language": "chinese", "position": {"atoms": [{"position_id": 1194, "txt": "下面的这个CCTC的投放增长模型已经非常清晰,更是全域运营的模型,我试图对这模型进行梳理,场景-内容-人群-货品-私域的全域增长模型要点:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[165]/span"}]}, "tags": [], "label": "content", "web_segment_id": 203, "global_sentence_id": 219, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4cBkA841wWY84w6Mki4lUwER.png", "language": "chinese", "position": {"atoms": [{"position_id": 476, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4cBkA841wWY84w6Mki4lUwER.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[166]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 204, "global_sentence_id": 220, "edu_l1_label": "EDU_O"}, {"txt": "第一,小红书为什么要注意流量外溢的运营逻辑?", "language": "chinese", "position": {"atoms": [{"position_id": 1196, "txt": "第一,小红书为什么要注意流量外溢的运营逻辑?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[167]/span/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 205, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "通过小红书的内容场发布优质内容,吸引用户关注和兴趣,在流量场进行精准投放,将内容推送给目标人群,人群场的精准定向确保了触达的用户与品牌目标相符,货架场提供有吸引力的商品,促使用户产生购买意愿。", "language": "chinese", "position": {"atoms": [{"position_id": 1198, "txt": "通过小红书的内容场发布优质内容,吸引用户关注和兴趣,在流量场进行精准投放,将内容推送给目标人群,人群场的精准定向确保了触达的用户与品牌目标相符,货架场提供有吸引力的商品,促使用户产生购买意愿。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[168]/span"}]}, "tags": [], "label": "content", "web_segment_id": 206, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "当用户在小红书上被种草后,可能会前往其他平台或渠道进行购买,从而实现外溢成交,所以我们也注意到近期小红书也在开放搜索广告,可以通过私聊方式直接外跳添加企微私域的能力。", "language": "chinese", "position": {"atoms": [{"position_id": 1200, "txt": "当用户在小红书上被种草后,可能会前往其他平台或渠道进行购买,从而实现外溢成交,所以我们也注意到近期小红书也在开放搜索广告,可以通过私聊方式直接外跳添加企微私域的能力。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[169]/span"}]}, "tags": [], "label": "content", "web_segment_id": 207, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": "包括之前也有看到内测小红书投放跳转淘宝商品页能力,这无疑释放出信号,小红书种草,站外成交的逻辑是走得通。", "language": "chinese", "position": {"atoms": [{"position_id": 1201, "txt": "包括之前也有看到内测小红书投放跳转淘宝商品页能力,这无疑释放出信号,小红书种草,站外成交的逻辑是走得通。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[169]/span"}]}, "tags": [], "label": "content", "web_segment_id": 207, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": "这里需要得把公域货架电商体系和私域电商体系得完善,承接搜索流量。", "language": "chinese", "position": {"atoms": [{"position_id": 1203, "txt": "这里需要得把公域货架电商体系和私域电商体系得完善,承接搜索流量。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[170]/span"}]}, "tags": [], "label": "content", "web_segment_id": 208, "global_sentence_id": 225, "edu_l1_label": "IOS"}, {"txt": "第二,在 CCTC 投放模型下,为什么不能忽视私域场建设?", "language": "chinese", "position": {"atoms": [{"position_id": 1205, "txt": "第二,在 CCTC 投放模型下,为什么不能忽视私域场建设?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[171]/span/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 209, "global_sentence_id": 226, "edu_l1_label": "IOS"}, {"txt": "私域场注重用户资产规模和人群复投能力的建设,通过与用户建立紧密的联系,提供个性化的服务和体验,能够提高用户的忠诚度,促使用户多次购买。", "language": "chinese", "position": {"atoms": [{"position_id": 1207, "txt": "私域场注重用户资产规模和人群复投能力的建设,通过与用户建立紧密的联系,提供个性化的服务和体验,能够提高用户的忠诚度,促使用户多次购买。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[172]/span"}]}, "tags": [], "label": "content", "web_segment_id": 210, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "还能为后续人群包投放提供私域人群画像,反哺公域投放精准性。", "language": "chinese", "position": {"atoms": [{"position_id": 1208, "txt": "还能为后续人群包投放提供私域人群画像,反哺公域投放精准性。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[172]/span"}]}, "tags": [], "label": "content", "web_segment_id": 210, "global_sentence_id": 228, "edu_l1_label": "IOS"}, {"txt": "人群复投能力则反映了用户对品牌的忠诚度和价值贡献,这些数据对于评估品牌的长期发展潜力至关重要。", "language": "chinese", "position": {"atoms": [{"position_id": 1210, "txt": "人群复投能力则反映了用户对品牌的忠诚度和价值贡献,这些数据对于评估品牌的长期发展潜力至关重要。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[173]/span"}]}, "tags": [], "label": "content", "web_segment_id": 211, "global_sentence_id": 229, "edu_l1_label": "IOS"}, {"txt": "测试、筛选、定位和放量四个步骤来优化广告效果:", "language": "chinese", "position": {"atoms": [{"position_id": 1212, "txt": "测试、筛选、定位和放量四个步骤来优化广告效果:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[174]/span"}]}, "tags": [], "label": "content", "web_segment_id": 212, "global_sentence_id": 230, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1DW4De4DdCt89Uep544u9wI.png", "language": "chinese", "position": {"atoms": [{"position_id": 498, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1DW4De4DdCt89Uep544u9wI.png", "x": 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{"atoms": [{"position_id": 1223, "txt": "② 筛:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[179]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 217, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": "筛选笔记的阶段旨在从测试期的广告笔记中筛选出表现最好的笔记。", "language": "chinese", "position": {"atoms": [{"position_id": 1225, "txt": "筛选笔记的阶段旨在从测试期的广告笔记中筛选出表现最好的笔记。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[179]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 217, "global_sentence_id": 238, "edu_l1_label": "IOS"}, {"txt": "根据测试期的数据,选择那些 CTR 和 CPC 表现优秀的笔记。", "language": "chinese", "position": {"atoms": [{"position_id": 1227, "txt": "根据测试期的数据,选择那些 CTR 和 CPC 表现优秀的笔记。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[180]/span"}]}, "tags": [], "label": "content", "web_segment_id": 218, "global_sentence_id": 239, "edu_l1_label": "IOS"}, {"txt": "筛选出优质笔记后,预算可能会增加,例如每篇笔记的预算提高到 3000 元以上。", "language": "chinese", "position": {"atoms": [{"position_id": 1228, "txt": "筛选出优质笔记后,预算可能会增加,例如每篇笔记的预算提高到 3000 元以上。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[180]/span"}]}, "tags": [], "label": "content", "web_segment_id": 218, "global_sentence_id": 240, "edu_l1_label": "IOS"}, {"txt": "此外,还会进一步细分人群,以找到最精准的目标受众。", "language": "chinese", "position": {"atoms": [{"position_id": 1230, "txt": "此外,还会进一步细分人群,以找到最精准的目标受众。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[181]/span"}]}, "tags": [], "label": "content", "web_segment_id": 219, "global_sentence_id": 241, "edu_l1_label": "IOS"}, {"txt": "③ 定:", "language": "chinese", "position": {"atoms": [{"position_id": 1232, "txt": "③ 定:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[182]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 220, "global_sentence_id": 242, "edu_l1_label": "IOS"}, {"txt": "定策略阶段的目的是确定最终的广告投放策略,包括投放的人群、预算和笔记。", "language": "chinese", "position": {"atoms": [{"position_id": 1234, "txt": "定策略阶段的目的是确定最终的广告投放策略,包括投放的人群、预算和笔记。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[182]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 220, "global_sentence_id": 243, "edu_l1_label": "IOS"}, {"txt": "在筛选出优质笔记后,广告主需要确定最终的投放策略,这可能包括选择特定的人群包、设定预算级别和优化笔记内容。", "language": "chinese", "position": {"atoms": [{"position_id": 1236, "txt": "在筛选出优质笔记后,广告主需要确定最终的投放策略,这可能包括选择特定的人群包、设定预算级别和优化笔记内容。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[183]/span"}]}, "tags": [], "label": "content", "web_segment_id": 221, "global_sentence_id": 244, "edu_l1_label": "IOS"}, {"txt": "在确定策略时,广告主需要确保预算至少达到品类赛道的平均预算,以确保有足够的曝光。", "language": "chinese", "position": {"atoms": [{"position_id": 1237, "txt": "在确定策略时,广告主需要确保预算至少达到品类赛道的平均预算,以确保有足够的曝光。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[183]/span"}]}, "tags": [], "label": "content", "web_segment_id": 221, "global_sentence_id": 245, "edu_l1_label": "IOS"}, {"txt": "同时,要寻找适当的精准人群,以提高广告的转化率。", "language": "chinese", "position": {"atoms": [{"position_id": 1239, "txt": "同时,要寻找适当的精准人群,以提高广告的转化率。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[184]/span"}]}, "tags": [], "label": "content", "web_segment_id": 222, "global_sentence_id": 246, "edu_l1_label": "IOS"}, {"txt": "④ 放:", "language": "chinese", "position": {"atoms": [{"position_id": 1241, "txt": "④ 放:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[185]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 223, "global_sentence_id": 247, "edu_l1_label": "IOS"}, {"txt": "放量笔记阶段是在确定了优质笔记和策略后,开始大规模投放广告。", "language": "chinese", "position": {"atoms": [{"position_id": 1243, "txt": "放量笔记阶段是在确定了优质笔记和策略后,开始大规模投放广告。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[185]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 223, "global_sentence_id": 248, "edu_l1_label": "IOS"}, {"txt": "广告主会将预算和资源集中在表现最好的笔记上,以实现最大的广告效果。", "language": "chinese", "position": {"atoms": [{"position_id": 1245, "txt": "广告主会将预算和资源集中在表现最好的笔记上,以实现最大的广告效果。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[186]/span"}]}, "tags": [], "label": "content", "web_segment_id": 224, "global_sentence_id": 249, "edu_l1_label": "IOS"}, {"txt": "在放量阶段,预算会显著增加,以支持大规模的广告投放。", "language": "chinese", "position": {"atoms": [{"position_id": 1247, "txt": "在放量阶段,预算会显著增加,以支持大规模的广告投放。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[187]/span"}]}, "tags": [], "label": "content", "web_segment_id": 225, "global_sentence_id": 250, "edu_l1_label": "IOS"}, {"txt": "同时,广告主会抢占触达目标人群,以实现广告的最大覆盖。", "language": "chinese", "position": {"atoms": [{"position_id": 1248, "txt": "同时,广告主会抢占触达目标人群,以实现广告的最大覆盖。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[187]/span"}]}, "tags": [], "label": "content", "web_segment_id": 225, "global_sentence_id": 251, "edu_l1_label": "IOS"}, {"txt": "比如这里提到认养一头牛通过这CCTC的投放模型,能做到最优笔记CPUV<5元。", "language": "chinese", "position": {"atoms": [{"position_id": 1250, "txt": "比如这里提到认养一头牛通过这CCTC的投放模型,能做到最优笔记CPUV<5元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[188]/span"}]}, "tags": [], "label": "content", "web_segment_id": 226, "global_sentence_id": 252, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2jTgEu1T5rJC4mrneb1SebY7.png", "language": "chinese", "position": {"atoms": [{"position_id": 537, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2jTgEu1T5rJC4mrneb1SebY7.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[189]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 227, "global_sentence_id": 253, "edu_l1_label": "EDU_O"}, {"txt": "我们可以将笔记在测试赛马期的表现分为四个象限,以CTR(点击通过率)和CPUV(每单位价值成本)为轴,进行笔记优化:", "language": "chinese", "position": {"atoms": [{"position_id": 1252, "txt": "我们可以将笔记在测试赛马期的表现分为四个象限,以CTR(点击通过率)和CPUV(每单位价值成本)为轴,进行笔记优化:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[190]/span"}]}, "tags": [], "label": "content", "web_segment_id": 228, "global_sentence_id": 254, "edu_l1_label": "IOS"}, {"txt": "① 高 CTR & 高 CPUV(强转化笔记)", "language": "chinese", "position": {"atoms": [{"position_id": 1254, "txt": "① 高 CTR & 高 CPUV(强转化笔记)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[191]/span/strong/span"}]}, "tags": ["strong"], "label": "title3", "web_segment_id": 229, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": "这类笔记在测试赛马期的表现为点击率高,但单位价值成本也高。", "language": "chinese", "position": {"atoms": [{"position_id": 1256, "txt": "这类笔记在测试赛马期的表现为点击率高,但单位价值成本也高。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[192]/span"}]}, "tags": [], "label": "content", "web_segment_id": 230, "global_sentence_id": 256, "edu_l1_label": "IOS"}, {"txt": "这表明用户对笔记有较强的点击意愿,但转化效率有待提高。", "language": "chinese", "position": {"atoms": [{"position_id": 1257, "txt": "这表明用户对笔记有较强的点击意愿,但转化效率有待提高。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[192]/span"}]}, "tags": [], "label": "content", "web_segment_id": 230, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "针对这种情况,优化指导包括复制内容并进行细微调整,以寻求更优的转化效果;", "language": "chinese", "position": {"atoms": [{"position_id": 1258, "txt": "针对这种情况,优化指导包括复制内容并进行细微调整,以寻求更优的转化效果;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[192]/span"}]}, "tags": [], "label": "content", "web_segment_id": 230, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "对目标人群进行细分,以找到更精准的受众群体;", "language": "chinese", "position": {"atoms": [{"position_id": 1259, "txt": "对目标人群进行细分,以找到更精准的受众群体;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[192]/span"}]}, "tags": [], "label": "content", "web_segment_id": 230, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "对于表现最优的笔记,应增加投入来扩大其影响力。", "language": "chinese", "position": {"atoms": [{"position_id": 1260, "txt": "对于表现最优的笔记,应增加投入来扩大其影响力。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[192]/span"}]}, "tags": [], "label": "content", "web_segment_id": 230, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "② 高 CTR & 低 CPUV(待优化笔记)", "language": "chinese", "position": {"atoms": [{"position_id": 1262, "txt": "② 高 CTR & 低 CPUV(待优化笔记)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[193]/span/strong/span"}]}, "tags": ["strong"], "label": "title3", "web_segment_id": 231, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": "此类型笔记的特点是点击率高而单位价值成本低。", "language": "chinese", "position": {"atoms": [{"position_id": 1264, "txt": "此类型笔记的特点是点击率高而单位价值成本低。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[194]/span"}]}, "tags": [], "label": "content", "web_segment_id": 232, "global_sentence_id": 262, "edu_l1_label": "IOS"}, {"txt": "这说明用户点击意愿强,但可能由于内容或其他因素导致转化率不高。", "language": "chinese", "position": {"atoms": [{"position_id": 1265, "txt": "这说明用户点击意愿强,但可能由于内容或其他因素导致转化率不高。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[194]/span"}]}, "tags": [], "label": "content", "web_segment_id": 232, "global_sentence_id": 263, "edu_l1_label": "IOS"}, {"txt": "优化方向为考虑优化文案,增强笔记的吸引力和转化率;", "language": "chinese", "position": {"atoms": [{"position_id": 1266, "txt": "优化方向为考虑优化文案,增强笔记的吸引力和转化率;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[194]/span"}]}, "tags": [], "label": "content", "web_segment_id": 232, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "同时要持续监测笔记的表现,留意是否有下降趋势。", "language": "chinese", "position": {"atoms": [{"position_id": 1267, "txt": "同时要持续监测笔记的表现,留意是否有下降趋势。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[194]/span"}]}, "tags": [], "label": "content", "web_segment_id": 232, "global_sentence_id": 265, "edu_l1_label": "IOS"}, {"txt": "③ 低 CTR & 高 CPUV(可筛除笔记)", "language": "chinese", "position": {"atoms": [{"position_id": 1269, "txt": "③ 低 CTR & 高 CPUV(可筛除笔记)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[195]/span/strong/span"}]}, "tags": ["strong"], "label": "title3", "web_segment_id": 233, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": "这类笔记的点击率低且单位价值成本高,意味着用户点击意愿弱,且即使有点击,转化效率也不理想。", "language": "chinese", "position": {"atoms": [{"position_id": 1271, "txt": "这类笔记的点击率低且单位价值成本高,意味着用户点击意愿弱,且即使有点击,转化效率也不理想。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[196]/span"}]}, "tags": [], "label": "content", "web_segment_id": 234, "global_sentence_id": 267, "edu_l1_label": "IOS"}, {"txt": "在优化策略上,如果优化成本过高,可以考虑放弃这类笔记,以控制成本;", "language": "chinese", "position": {"atoms": [{"position_id": 1272, "txt": "在优化策略上,如果优化成本过高,可以考虑放弃这类笔记,以控制成本;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[196]/span"}]}, "tags": [], "label": "content", "web_segment_id": 234, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "在测试期后,如果笔记表现没有明显改善,建议暂停投放。", "language": "chinese", "position": {"atoms": [{"position_id": 1273, "txt": "在测试期后,如果笔记表现没有明显改善,建议暂停投放。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[196]/span"}]}, "tags": [], "label": "content", "web_segment_id": 234, "global_sentence_id": 269, "edu_l1_label": "IOS"}, {"txt": "④ 低 CTR & 低 CPUV(考虑优化封面,提升 CTR)", "language": "chinese", "position": {"atoms": [{"position_id": 1275, "txt": "④ 低 CTR & 低 CPUV(考虑优化封面,提升 CTR)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[197]/span/strong/span"}]}, "tags": ["strong"], "label": "title4", "web_segment_id": 235, "global_sentence_id": 270, "edu_l1_label": "IOS"}, {"txt": "这种笔记在点击率和单位价值成本上都表现不佳,说明笔记的吸引力和转化效率都亟待提升。", "language": "chinese", "position": {"atoms": [{"position_id": 1277, "txt": "这种笔记在点击率和单位价值成本上都表现不佳,说明笔记的吸引力和转化效率都亟待提升。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[198]/span"}]}, "tags": [], "label": "content", "web_segment_id": 236, "global_sentence_id": 271, "edu_l1_label": "IOS"}, {"txt": "优化措施包括优化封面设计,因为封面是吸引用户点击的关键,通过优化封面可以提升 CTR;", "language": "chinese", "position": {"atoms": [{"position_id": 1278, "txt": "优化措施包括优化封面设计,因为封面是吸引用户点击的关键,通过优化封面可以提升 CTR;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[198]/span"}]}, "tags": [], "label": "content", "web_segment_id": 236, "global_sentence_id": 272, "edu_l1_label": "IOS"}, {"txt": "同时要提升内容质量,使笔记更具吸引力和价值。", "language": "chinese", "position": {"atoms": [{"position_id": 1279, "txt": "同时要提升内容质量,使笔记更具吸引力和价值。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[198]/span"}]}, "tags": [], "label": "content", "web_segment_id": 236, "global_sentence_id": 273, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2oNcXL3q5atK1bHfWe3fx4TR.png", "language": "chinese", "position": {"atoms": [{"position_id": 565, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2oNcXL3q5atK1bHfWe3fx4TR.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[199]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 237, "global_sentence_id": 274, "edu_l1_label": "EDU_O"}, {"txt": "笔记筛选的策略下,253法则则可以优化放量期的预算,以达成高效分配资源,预算合理利用,挖掘笔记长效潜力:", "language": "chinese", "position": {"atoms": [{"position_id": 1281, "txt": "笔记筛选的策略下,253法则则可以优化放量期的预算,以达成高效分配资源,预算合理利用,挖掘笔记长效潜力:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[200]/span"}]}, "tags": [], "label": "content", "web_segment_id": 238, "global_sentence_id": 275, "edu_l1_label": "IOS"}, {"txt": "① 20%笔记承担80%的消耗", "language": "chinese", "position": {"atoms": [{"position_id": 1283, "txt": "① 20%笔记承担80%的消耗", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[201]/span/strong/span"}]}, "tags": ["strong"], "label": "title4", "web_segment_id": 239, "global_sentence_id": 276, "edu_l1_label": "IOS"}, {"txt": "这意味着将大部分的预算分配给表现最好的 20% 的笔记。", "language": "chinese", "position": {"atoms": [{"position_id": 1285, "txt": "这意味着将大部分的预算分配给表现最好的 20% 的笔记。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[202]/span"}]}, "tags": [], "label": "content", "web_segment_id": 240, "global_sentence_id": 277, "edu_l1_label": "IOS"}, {"txt": "这些笔记通常是强转化笔记,即能够吸引用户点击并实现较高的转化效果。", "language": "chinese", "position": {"atoms": [{"position_id": 1286, "txt": "这些笔记通常是强转化笔记,即能够吸引用户点击并实现较高的转化效果。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[202]/span"}]}, "tags": [], "label": "content", "web_segment_id": 240, "global_sentence_id": 278, "edu_l1_label": "IOS"}, {"txt": "对于这部分笔记,采取的策略是保持固定预算放量。", "language": "chinese", "position": {"atoms": [{"position_id": 1288, "txt": "对于这部分笔记,采取的策略是保持固定预算放量。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[203]/span"}]}, "tags": [], "label": "content", "web_segment_id": 241, "global_sentence_id": 279, "edu_l1_label": "IOS"}, {"txt": "具体来说,对于低 CPUV(每单位价值成本)型笔记,要确保基础进店 UV(独立访客)。", "language": "chinese", "position": {"atoms": [{"position_id": 1289, "txt": "具体来说,对于低 CPUV(每单位价值成本)型笔记,要确保基础进店 UV(独立访客)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[203]/span"}]}, 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"edu_l1_label": "IOS"}, {"txt": "当品牌在小红书上有了一定的发展,但搜索占位还不够理想时:", "language": "chinese", "position": {"atoms": [{"position_id": 1356, "txt": "当品牌在小红书上有了一定的发展,但搜索占位还不够理想时:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[230]/span"}]}, "tags": [], "label": "content", "web_segment_id": 268, "global_sentence_id": 321, "edu_l1_label": "IOS"}, {"txt": "第一,种草:", "language": "chinese", "position": {"atoms": [{"position_id": 1358, "txt": "第一,种草:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[231]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 269, "global_sentence_id": 322, "edu_l1_label": "IOS"}, {"txt": "与中腰部博主合作,扩大产品种草的范围。", "language": "chinese", "position": {"atoms": [{"position_id": 1360, "txt": "与中腰部博主合作,扩大产品种草的范围。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[231]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 269, "global_sentence_id": 323, "edu_l1_label": "IOS"}, {"txt": "他们的粉丝群体相对较大,可以将品牌的定位更好地传达给目标用户。", "language": "chinese", "position": {"atoms": [{"position_id": 1361, "txt": "他们的粉丝群体相对较大,可以将品牌的定位更好地传达给目标用户。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[231]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 269, "global_sentence_id": 324, "edu_l1_label": "IOS"}, {"txt": "例如,时尚品牌可以通过博主的穿搭示范来展示产品,吸引更多用户关注。", "language": "chinese", "position": {"atoms": [{"position_id": 1362, "txt": "例如,时尚品牌可以通过博主的穿搭示范来展示产品,吸引更多用户关注。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[231]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 269, "global_sentence_id": 325, "edu_l1_label": "IOS"}, {"txt": "第二,曝光:", "language": "chinese", "position": {"atoms": [{"position_id": 1364, "txt": "第二,曝光:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[232]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 270, "global_sentence_id": 326, "edu_l1_label": "IOS"}, {"txt": "投入一定的广告资源,如小红书的信息流广告、开屏广告等,提高品牌的知名度和曝光度。", "language": "chinese", "position": {"atoms": [{"position_id": 1366, "txt": "投入一定的广告资源,如小红书的信息流广告、开屏广告等,提高品牌的知名度和曝光度。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[232]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 270, "global_sentence_id": 327, "edu_l1_label": "IOS"}, {"txt": "让更多用户在浏览小红书时能够看到品牌的推广内容。", "language": "chinese", "position": {"atoms": [{"position_id": 1367, "txt": "让更多用户在浏览小红书时能够看到品牌的推广内容。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[232]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 270, "global_sentence_id": 328, "edu_l1_label": "IOS"}, {"txt": "第三,科普:", "language": "chinese", "position": {"atoms": [{"position_id": 1369, "txt": "第三,科普:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[233]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 271, "global_sentence_id": 329, "edu_l1_label": "IOS"}, {"txt": 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"通过专业人士或资深博主进行深度科普,突出品牌的独特价值和优势。", "language": "chinese", "position": {"atoms": [{"position_id": 1382, "txt": "通过专业人士或资深博主进行深度科普,突出品牌的独特价值和优势。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[237]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 275, "global_sentence_id": 336, "edu_l1_label": "IOS"}, {"txt": "比如美妆品牌可以邀请专业化妆师讲解产品的特殊功效和使用技巧,与竞争对手区分开来。", "language": "chinese", "position": {"atoms": [{"position_id": 1383, "txt": "比如美妆品牌可以邀请专业化妆师讲解产品的特殊功效和使用技巧,与竞争对手区分开来。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[237]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 275, "global_sentence_id": 337, "edu_l1_label": "IOS"}, {"txt": "第二,种草:", "language": "chinese", "position": {"atoms": [{"position_id": 1385, "txt": "第二,种草:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[238]/span[1]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 276, "global_sentence_id": 338, "edu_l1_label": "IOS"}, {"txt": 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# 1万字直播总结,讲清全域增长营销3.0 ## 01 企业及运营人的增长挑战 ### 1、企业增长挑战方面 #### 1)货架电商到内容电商断层 #### 2)单点到全域断层 #### 3)战略规划与营销效果断层 ### 2、从业者们的全域人才模型挑战 #### 1)要能深刻理解全域、跨平台价值 #### 2)市场人运营人的指标越来越务实 #### 3)懂内容+懂运营,哪条腿都不能短 ## 02 人群战略的重要性有多重要? ### 1、Lululemon的人群增长策略 #### 第一,产品先行:产品研发与体验升级 #### 第二,明确人群:店内瑜伽课与社区运营 #### 第三,心智占领:品牌文化与推广 #### 第四,新品迭代:基于人群的新品开发 #### 第五,口碑运营:运营管理与口碑提升 ### 2、人群战略下,产品营销转型 #### 案例1:思念 “柿柿如意” 汤圆 #### 案例2:Lululemon 羽绒服 ### 3、品类为中心 vs 用户为中心 #### 1、以人群为中心的战略 ##### 1)时尚、美妆、运动等注重个性化和生活方式的行业。 ##### 2)服务型行业,如旅游、餐饮、娱乐等。 #### 2、以品类为中心的战略 ##### 1)日用品、食品等功能性较强的行业。 ##### 2)标准化程度较高的行业,如电子产品、家电等。 ## 03 小红书,该怎么用好? ### 1、用好小红书,是大大的痛点 ### 2、ODAR运营地图 ### 3、CCTC投放增长模型 ### 4、产品阶段判定投放重点 #### 1)品牌启动期 ##### 0-1品牌或历史无投放/投放收录情况差 #### 2)品牌爆发期 ##### 1-10-100品牌且品牌已有清晰定位,但内容无法完成搜索占位 #### 3)品牌突围期 ##### 1-10-100品牌且过往在站点已有内容沉淀但核心记忆点不突出 #### 4)品牌焕新期 ##### 成熟品牌且内容同质化严重
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test/raw_web_htmls/88762fa4-1285-4ec7-8a83-c6509ec17df6.html
https://mp.weixin.qq.com/s?__biz=MjM5NDI2MDc5NA==&mid=2659561502&idx=1&sn=91abf067734da431483c11b378a403ad&chksm=bc9df532e082f6e78c3b8c45e2b70c73249b2607d0c519d1e6400c02f518e4badaea3e9c2376
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"只有那些能够看透名利虚幻、坚守内心的人,才能在江湖中真正“赢”得人生。", "language": "chinese", "position": {"atoms": [{"position_id": 454, "txt": "只有那些能够看透名利虚幻、坚守内心的人,才能在江湖中真正“赢”得人生。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[37]/span"}]}, "tags": [], "label": "content", "web_segment_id": 77, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4vB3LZ1SPF7MEwxCq1rBHjb.png", "language": "chinese", "position": {"atoms": [{"position_id": 240, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4vB3LZ1SPF7MEwxCq1rBHjb.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 78, "global_sentence_id": 70, "edu_l1_label": "EDU_O"}, {"txt": "如《侠客行》中的石破天本是懵懂少年,却因机缘踏入江湖。", "language": "chinese", "position": {"atoms": [{"position_id": 456, "txt": "如《侠客行》中的石破天本是懵懂少年,却因机缘踏入江湖。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[39]/span"}]}, "tags": [], "label": "content", "web_segment_id": 79, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "他的善良与单纯让他在复杂环境中始终保持清醒,虽被误认、历经磨难,却因这份“糊涂”获得信任与帮助,最终成为长乐帮帮主,与阿绣成婚,收获幸福。", "language": "chinese", "position": {"atoms": [{"position_id": 457, "txt": "他的善良与单纯让他在复杂环境中始终保持清醒,虽被误认、历经磨难,却因这份“糊涂”获得信任与帮助,最终成为长乐帮帮主,与阿绣成婚,收获幸福。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[39]/span"}]}, "tags": [], "label": "content", "web_segment_id": 79, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "他的“糊涂”实则是对江湖复杂性的超然,因坚守本心而赢得人生。", "language": "chinese", "position": {"atoms": [{"position_id": 458, "txt": "他的“糊涂”实则是对江湖复杂性的超然,因坚守本心而赢得人生。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[39]/span"}]}, "tags": [], "label": "content", "web_segment_id": 79, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "石中玉则与之相反。", "language": "chinese", "position": {"atoms": [{"position_id": 460, "txt": "石中玉则与之相反。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[40]/span"}]}, "tags": [], "label": "content", "web_segment_id": 80, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "他聪明伶俐,却因贪图名利、作恶多端,最终众叛亲离,落得悲惨下场。", "language": "chinese", "position": {"atoms": [{"position_id": 461, "txt": "他聪明伶俐,却因贪图名利、作恶多端,最终众叛亲离,落得悲惨下场。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[40]/span"}]}, "tags": [], "label": "content", "web_segment_id": 80, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "他的聪明被名利场的风浪裹挟,作茧自缚,最终输得一败涂地。", "language": "chinese", "position": {"atoms": [{"position_id": 462, "txt": "他的聪明被名利场的风浪裹挟,作茧自缚,最终输得一败涂地。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[40]/span"}]}, "tags": [], "label": "content", "web_segment_id": 80, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "天地四方,无处不是江湖,无处不充满着人与人之间的关系、利益的博弈和情感的纠葛。", "language": "chinese", "position": {"atoms": [{"position_id": 464, "txt": "天地四方,无处不是江湖,无处不充满着人与人之间的关系、利益的博弈和情感的纠葛。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[41]/span"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "江湖的复杂性在于,它既有侠义之气、兄弟情谊,也有尔虞我诈、利益争夺。", "language": "chinese", "position": {"atoms": [{"position_id": 465, "txt": "江湖的复杂性在于,它既有侠义之气、兄弟情谊,也有尔虞我诈、利益争夺。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[41]/span"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "在名利场中,人们往往把“赢”定义为获得更多的财富、更高的地位,但这种“赢”往往是表面的、暂时的。", "language": "chinese", "position": {"atoms": [{"position_id": 466, "txt": "在名利场中,人们往往把“赢”定义为获得更多的财富、更高的地位,但这种“赢”往往是表面的、暂时的。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[41]/span"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "而真正的“赢”,应该是内心的满足、情感的充实和道德的坚守。", "language": "chinese", "position": {"atoms": [{"position_id": 467, "txt": "而真正的“赢”,应该是内心的满足、情感的充实和道德的坚守。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[41]/span"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "真正的智慧不是追求名利,而是看透名利的虚幻,坚守内心的平静和善良。", "language": "chinese", "position": {"atoms": [{"position_id": 468, "txt": "真正的智慧不是追求名利,而是看透名利的虚幻,坚守内心的平静和善良。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[41]/span"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "◆◆◆", "language": "chinese", "position": {"atoms": [{"position_id": 470, "txt": "◆", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[42]/section[1]/section/article/p[1]/strong/span/span[1]"}, {"position_id": 472, "txt": "◆", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[42]/section[1]/section/article/p[1]/strong/span/span[2]"}, {"position_id": 474, "txt": "◆", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[42]/section[1]/section/article/p[1]/strong/span/span[3]"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 82, "global_sentence_id": 82, "edu_l1_label": "EDU_O"}, {"txt": "你心中有哪段金庸,令你印象深刻?", "language": "chinese", "position": {"atoms": [{"position_id": 476, "txt": "你心中有哪段金庸,令你印象深刻?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[42]/section[1]/section/article/p[2]/strong/span"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 83, "global_sentence_id": 83, "edu_l1_label": "EDU_O"}, {"txt": "来源:", "language": "chinese", "position": {"atoms": [{"position_id": 478, "txt": "来源:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/span[1]"}]}, "tags": [], "label": "source", "web_segment_id": 84, "global_sentence_id": 84, "edu_l1_label": "EDU_O"}, {"txt": "中国新闻社(cns1952)综合自:", "language": "chinese", "position": {"atoms": [{"position_id": 479, "txt": "中国新闻社(cns1952)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/span[1]"}, {"position_id": 481, "txt": "综合自:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/span[2]"}]}, "tags": [], "label": "source", "web_segment_id": 84, "global_sentence_id": 85, "edu_l1_label": "EDU_O"}, {"txt": "综合自帆书、CCTV电视剧等", "language": "chinese", "position": {"atoms": [{"position_id": 483, "txt": "综合自帆书、CCTV电视剧等", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/span[3]"}]}, "tags": [], "label": "source", "web_segment_id": 84, "global_sentence_id": 86, "edu_l1_label": "EDU_O"}, {"txt": "编辑:", "language": "chinese", "position": {"atoms": [{"position_id": 485, "txt": "编辑:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "author", "web_segment_id": 85, "global_sentence_id": 87, "edu_l1_label": "EDU_O"}, {"txt": "臧赫 张萌(实习)", "language": "chinese", "position": {"atoms": [{"position_id": 486, "txt": "臧赫 张萌(实习)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "author", "web_segment_id": 85, "global_sentence_id": 88, "edu_l1_label": "EDU_O"}, {"txt": "审校:", "language": "chinese", "position": {"atoms": [{"position_id": 488, "txt": "审校:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[10]/span"}]}, "tags": [], "label": "author", "web_segment_id": 86, "global_sentence_id": 89, "edu_l1_label": "EDU_O"}, {"txt": "魏园", "language": "chinese", "position": {"atoms": [{"position_id": 489, "txt": "魏园", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[10]/span"}]}, "tags": [], "label": "author", "web_segment_id": 86, "global_sentence_id": 90, "edu_l1_label": "EDU_O"}, {"txt": "责编:", "language": "chinese", "position": {"atoms": [{"position_id": 491, "txt": "责编:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/span"}]}, "tags": [], "label": "author", "web_segment_id": 87, "global_sentence_id": 91, "edu_l1_label": "EDU_O"}, {"txt": "宋方灿", "language": "chinese", "position": {"atoms": [{"position_id": 492, "txt": "宋方灿", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/span"}]}, "tags": [], "label": "author", "web_segment_id": 87, "global_sentence_id": 92, "edu_l1_label": "EDU_O"}, {"txt": "普通人不要提前焦虑", "language": "chinese", "position": {"atoms": [{"position_id": 494, "txt": "普通人不要提前焦虑", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[43]/a/section/section/section[2]/p"}]}, "tags": [], "label": "O", "web_segment_id": 93, "global_sentence_id": 93, "edu_l1_label": "EDU_O"}, {"txt": "钱,是会选人的", "language": "chinese", "position": {"atoms": [{"position_id": 496, "txt": "钱,是会选人的", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[44]/a/section/section/section[2]/p"}]}, "tags": [], "label": "O", "web_segment_id": 99, "global_sentence_id": 94, "edu_l1_label": "EDU_O"}, {"txt": "新的一年,大家多发朋友圈", "language": "chinese", "position": {"atoms": [{"position_id": 498, "txt": "新的一年,大家多发朋友圈", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[45]/a/section/section/section[2]/p"}]}, "tags": [], "label": "O", "web_segment_id": 105, "global_sentence_id": 95, "edu_l1_label": "EDU_O"}, {"txt": " 中国新闻社 ", "language": "chinese", "position": {"atoms": [{"position_id": 500, "txt": "\n 中国新闻社 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 123, "global_sentence_id": 96, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 读懂这五句话,才读懂了金庸 ## 一.《射雕英雄传》——“凡人有生必有死,生固欣然,死亦天命。” ## 二.《倚天屠龙记》——“他强由他强,清风拂山冈。他横任他横,明月照大江。” ## 三.《笑傲江湖》——“千辛万苦求得之物,终究不过手中沙。” ## 四.《书剑恩仇录》——“慧极必伤,情深不寿,强极则辱,谦谦君子,温润如玉。” ## 五.《侠客行》——“天地四方为江湖,世人聪明反糊涂。名利场上风浪起,赢到头来却是输。”
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{"entry_id": "c97f4c9e-633e-4096-9123-b60a3712f8f9", "infos": [{"txt": "FrustumFusionNets:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.156, 0.094, 0.393, 0.115]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 0, "edu_l1_label": "BOT"}, {"txt": " A Three-Dimensional Object Detection Network Based on Tractor Road Scene", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.393, 0.094, 0.843, 0.115], [0.278, 0.131, 0.721, 0.152]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "Lili Yang a, b, Mengshuai Chang a, b, Xiao Guo a, b, Yuxin Feng a, Yiwen Mei a, Caicong Wu a, b, *", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 100000, "bbox": [[0.18, 0.162, 0.82, 0.177]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 4, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "a.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 200000, "bbox": [[0.151, 0.2, 0.163, 0.213]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 3, "global_sentence_id": 3, "edu_l1_label": "EDU_O"}, {"txt": "College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 200000, "bbox": [[0.163, 0.2, 0.848, 0.213], [0.151, 0.218, 0.191, 0.231]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 3, "global_sentence_id": 4, "edu_l1_label": "EDU_O"}, {"txt": "b.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.151, 0.237, 0.164, 0.25]]}]}, 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detection as well as the lack of research on agricultural scenes, we constructed an object detection dataset using an 80-line Light Detection And Ranging (LiDAR) and a camera in a complex tractor road scene and proposed a new network called FrustumFusionNets (FFNets).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.148, 0.298, 0.853, 0.914]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "Initially, we utilize the results of image-based two-dimensional object detection to narrow down the search region in the three-dimensional space of the point cloud.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.148, 0.298, 0.853, 0.914]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "Next, we introduce a Gaussian mask to enhance the point cloud information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.148, 0.298, 0.853, 0.914]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "Then, we extract the features from the frustum point cloud and the crop image using the point cloud feature extraction pipeline and the image feature extraction pipeline, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.148, 0.298, 0.853, 0.914]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "Finally, we concatenate and fuse the data features from both modalities to achieve three-dimensional object detection.", "language": "english", "position": {"pdf_position": 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"label": "abstract", "web_segment_id": 0, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "It offers a hybrid fusion-based multi-object, high-precision, real-time three-dimensional object detection technique for unmanned agricultural machines in tractor road scenarios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.148, 0.298, 0.853, 0.914]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "On the Karlsruhe Institute of Technology and Toyota Technological Institute (KITTI) Benchmark Suite validation set, the FrustumFusionNetv2 also demonstrates significant superiority in detecting road pedestrian objects compared with other frustum-based three-dimensional object detection", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.148, 0.298, 0.853, 0.914]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "methods.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.151, 0.098, 0.212, 0.111]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 4, "global_sentence_id": 17, "edu_l1_label": "EDU_O"}, {"txt": "Keywords:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.151, 0.135, 0.225, 0.148]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 3, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": " tractor road; multi-source sensors; frustum; hybrid fusion; three-dimensional object detection; neural networks;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.225, 0.135, 0.853, 0.148], [0.151, 0.172, 0.263, 0.185]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 3, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.151, 0.232, 0.164, 0.246]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 2, "global_sentence_id": 20, "edu_l1_label": "BOS"}, {"txt": "Introduction", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.164, 0.232, 0.265, 0.246]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 2, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "With the development of modern agriculture, unmanned farms have become an important part of intelligent agriculture, and intelligent farm machinery is the material support of unmanned farms(Luo et al., 2021).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 600000, "bbox": [[0.185, 0.293, 0.852, 0.306], [0.151, 0.33, 0.848, 0.343], [0.151, 0.367, 0.219, 0.38]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "In the realm of agriculture, tractor roads present a complex scene for unmanned farm machines due to the absence of clear traffic signs and the diversity of objects present.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 600000, "bbox": [[0.219, 0.367, 0.849, 0.38], [0.151, 0.404, 0.689, 0.417]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "Accurately identifying obstacles on these roads is essential for farm machinery's intelligent operation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 600000, "bbox": [[0.689, 0.404, 0.852, 0.417], [0.151, 0.441, 0.679, 0.455]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "In the field of 3D object detection, numerous methods based on multi-source sensor data fusion have been proposed, with the most extensive research focusing on the fusion of RGB camera and LiDAR(Mao et al., 2023).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.185, 0.478, 0.852, 0.492], [0.151, 0.516, 0.852, 0.529], [0.151, 0.553, 0.325, 0.566]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "Currently, the fusion methods of camera and LiDAR are mainly classified into three categories: early-fusion methods(Paigwar et al., 2021a; Qi et al., 2018a; Shin et al., 2019; Vora et al., 2020; Z. Wang & Jia, 2019a), which aim to merge the knowledge of the image into the point cloud, and use the rich contextual information of the image to assist in the enhancement of 3D detection of the point cloud; and intermediate-fusion methods(Bai et al., 2022; Chen et al., 2017a, 2023; Ku et al., 2018; Li, Qi, et al., 2022; Yoo et al., 2020), which aim to fuse the previously extracted features of the point cloud and the image in the stage of backbone network, proposal generation, or ROI refinement in order to complete the final detection; Late-fusion methods(Pang et al., 2020, 2022) are aimed at postprocessing the outputs of the point cloud-based 3D object detector and the image-based 2D detector to produce more accurate detection results.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.325, 0.553, 0.848, 0.566], [0.151, 0.59, 0.852, 0.603], [0.151, 0.627, 0.848, 0.64], [0.151, 0.664, 0.848, 0.677], [0.151, 0.701, 0.852, 0.714], [0.151, 0.738, 0.848, 0.751], [0.151, 0.775, 0.848, 0.788], [0.151, 0.812, 0.848, 0.825], [0.151, 0.849, 0.848, 0.862], [0.151, 0.886, 0.421, 0.899]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "Some of the early-fusion methods(Shin et al., 2019; Vora et al.,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.421, 0.886, 0.848, 0.899]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "2020) retain more information about the original data, but the huge amount of data requires high computational power.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.151, 0.098, 0.848, 0.111], [0.151, 0.135, 0.299, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "The intermediate-fusion methods simultaneously simplify data processing and extract valuable feature information from various modalities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.299, 0.135, 0.848, 0.148], [0.151, 0.172, 0.586, 0.185]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "However, various feature extraction methods significantly influence the fusion effect and are highly sensitive to feature selection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.586, 0.172, 0.848, 0.185], [0.151, 0.209, 0.775, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "Moreover, late-fusion methods offer a significant degree of flexibility and scalability.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.775, 0.209, 0.848, 0.222], [0.151, 0.246, 0.65, 0.259]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "However, there is a high loss of detail in the data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.65, 0.246, 0.848, 0.259], [0.151, 0.283, 0.285, 0.296]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "Most of the existing methods are primarily designed for urban scenes, and research focused on agricultural environments is still in its early stages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.185, 0.32, 0.848, 0.333], [0.151, 0.357, 0.499, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "In the rural tractor road scene, the object has more distinct class characteristics than the urban road.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.499, 0.357, 0.848, 0.37], [0.151, 0.394, 0.481, 0.407]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "At the same time, due to the lack of road neatness on the tractor road and the occlusion formed by trees and debris along the roadside, these complex environmental factors significantly enhance the difficulty of 3D object detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.481, 0.394, 0.852, 0.407], [0.151, 0.431, 0.848, 0.444], [0.151, 0.468, 0.687, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "We propose a 3D object detection network called FrustumFusionNets (hereinafter referred to as FFNets) based on the fusion of RGB image and LiDAR point clouds in frustum space.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.687, 0.468, 0.852, 0.481], [0.151, 0.505, 0.853, 0.519], [0.151, 0.542, 0.524, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "Initially, we gather data synchronously on rural roads using a monocular camera and an 80-line LiDAR, creating an object detection dataset specifically for tractor roads.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.524, 0.542, 0.849, 0.556], [0.151, 0.58, 0.848, 0.593], [0.151, 0.617, 0.272, 0.63]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "After that, we use a hybrid fusion method that combines the early-fusion and intermediate-fusion paradigms, first figuring out the object's 2D bounding box.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.272, 0.617, 0.848, 0.63], [0.151, 0.654, 0.677, 0.667]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "We then restrict LiDAR's search space to the frustum, extract features from the point cloud and crop image, and concatenate and fuse these features, ultimately detecting the object's 3D attitude.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.677, 0.654, 0.852, 0.667], [0.151, 0.691, 0.853, 0.704], [0.151, 0.728, 0.58, 0.741]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "The contributions of this paper are mainly listed as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.185, 0.765, 0.585, 0.778]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "(1) We construct an object detection dataset based on an 80-line LiDAR and RGB camera in a complex tractor road scene, which includes people in various postures, cars, cyclists, bicycles, trucks, freight tricycles, and a total of six categories of objects.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.186, 0.802, 0.852, 0.815], [0.217, 0.839, 0.848, 0.852], [0.217, 0.876, 0.638, 0.889]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "(2) We propose a 3D object detection network, FrustumFusionNets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.186, 0.098, 0.661, 0.111]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "This network introduces a Gaussian mask mechanism and further fuses the point cloud features with the image features in the detection stage, which improves the 3D object detection accuracy through hybrid fusion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.661, 0.098, 0.853, 0.111], [0.217, 0.135, 0.848, 0.148], [0.217, 0.172, 0.848, 0.185]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "(3) On the constructed tractor road data, our method significantly improves the 3D object detection accuracy, distance error, and orientation error of six categories of objects compared with the original model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.186, 0.209, 0.848, 0.222], [0.217, 0.246, 0.848, 0.259], [0.217, 0.283, 0.319, 0.296]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "Additionally, our method outperforms other frustum-based 3D object detection methods in detecting the pedestrian category on the KITTI validation set.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.319, 0.283, 0.848, 0.296], [0.217, 0.32, 0.708, 0.333]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.151, 0.377, 0.164, 0.391]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 5, "global_sentence_id": 46, "edu_l1_label": "BOS"}, {"txt": "Related work", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.164, 0.377, 0.27, 0.391]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 5, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "In recent years, 3D object detection algorithms based on deep learning have achieved remarkable results.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.185, 0.434, 0.848, 0.447], [0.151, 0.471, 0.199, 0.484]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "And because of the excellent complementary performance of the camera and LiDAR, the fusion method based on the camera and LiDAR has higher detection performance compared with other methods.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.199, 0.471, 0.848, 0.484], [0.151, 0.508, 0.848, 0.521]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "2.1 End-to-end 3D object detection network", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.151, 0.559, 0.464, 0.573]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "The ContFuse (Liang et al., 2018) significantly improves the accuracy of 3D object detection by mapping image features to the bird's-eye view (BEV) space and combining it with the two-stream network architecture to achieve deep continuous fusion of point clouds and image features at the multiscale level.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.147, 0.597, 0.854, 0.916]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "Aiming at the unavoidable information loss problem during image projection, EPNet (Huang et al., 2020) proposes a point-based correspondence establishment method to adaptively evaluate the importance of image semantic features.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.147, 0.597, 0.854, 0.916]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "On this basis, EPNet++ (Liu et al., 2022) further innovatively introduces the CB-Fusion module to generate more discriminative and comprehensive feature representations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.147, 0.597, 0.854, 0.916]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "The BEVFusion (Liu et al., 2023), on the other hand, effectively mitigates the dependence on image depth estimation by projecting fine-grained image features into the BEV space and", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.147, 0.597, 0.854, 0.916]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "fusing them with LiDAR features.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.151, 0.098, 0.392, 0.111]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "In addition, some research projects adopt knowledge distillation techniques to achieve the fusion of multimodal information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.392, 0.098, 0.848, 0.111], [0.151, 0.135, 0.547, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "For example, LIGA-Stereo (Guo et al., 2021) transfers geometrically-aware representations of point clouds to stereo images through knowledge distillation to facilitate information interaction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.547, 0.135, 0.848, 0.148], [0.151, 0.172, 0.849, 0.185], [0.151, 0.209, 0.476, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "The UVTR (Li, Chen, et al., 2022) approach further characterizes images and point clouds in a unified manner while supporting cross-modal fusion and knowledge migration, enabling effective distillation from multimodal or continuous frames to a single input.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.476, 0.209, 0.848, 0.222], [0.151, 0.246, 0.848, 0.259], [0.151, 0.283, 0.848, 0.296], [0.151, 0.32, 0.19, 0.333]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "Although these end-to-end fusion methods simplify the overall processing flow to some extent, they also bring about a reduction in model interpretability, creating challenges for model debugging and optimization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.19, 0.32, 0.848, 0.333], [0.151, 0.357, 0.848, 0.37], [0.151, 0.394, 0.24, 0.407]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "Additionally, these methods often require substantial data support for training, which may limit their effectiveness in datasets with a limited number of samples.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.24, 0.394, 0.852, 0.407], [0.151, 0.431, 0.617, 0.444]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "2.2 3D object detection network based on frustum", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.151, 0.483, 0.507, 0.496]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 2, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "In the field of 3D object detection, in addition to end-to-end methods, multi-stage strategies have been widely adopted, of which the typical one is based on the frustum.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.185, 0.523, 0.849, 0.536], [0.151, 0.56, 0.638, 0.573]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "FrustumPointNets (hereinafter referred to as FPointNets) (Qi et al., 2018b) adopts a two-stage approach.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.638, 0.56, 0.848, 0.573], [0.151, 0.597, 0.642, 0.61]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "First, the 2D object detector is used to generate the 2D bounding box of the object, and then these 2D boxes are projected to form the frustum, which is applied to the 3D point cloud to narrow the search space and further detect the object in the point cloud.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.642, 0.597, 0.853, 0.61], [0.151, 0.634, 0.849, 0.648], [0.151, 0.671, 0.848, 0.685], [0.151, 0.709, 0.271, 0.722]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "This is the first method to propose the frustum paradigm.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.271, 0.709, 0.649, 0.722]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "In the same year, PointFusion (Xu et al., 2018) was also based on the frustum.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.649, 0.709, 0.848, 0.722], [0.151, 0.746, 0.471, 0.759]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "In addition to using the detection results of the image to limit the search scope of the point cloud, it further integrated image features into the processing of the frustum point cloud.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.471, 0.746, 0.848, 0.759], [0.151, 0.783, 0.853, 0.796], [0.151, 0.82, 0.295, 0.833]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "F-ConvNet (Z. Wang & Jia, 2019b) is further optimized on the basis of the FPointNets to extract more fine-grained features by subdividing the frustum region into smaller units.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.295, 0.82, 0.848, 0.833], [0.151, 0.857, 0.848, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "Frustum-PointPillars (Paigwar et al., 2021b), on the other hand, addresses the problem of independent", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.151, 0.894, 0.848, 0.907]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "processing of objects in previous approaches and proposes a unified framework for scene understanding, which significantly reduces the computation time.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.151, 0.098, 0.848, 0.111], [0.151, 0.135, 0.511, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "Frustum-based methods effectively reduce the complexity of the algorithms as well as the demand for computational resources and are highly flexible since they can be built on top of any state-of-the-art 2D detector.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.511, 0.135, 0.849, 0.148], [0.151, 0.172, 0.849, 0.185], [0.151, 0.209, 0.596, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "However, such methods tend to rely mainly on point cloud information in the 3D object detection stage and do not utilize image information sufficiently.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.596, 0.209, 0.848, 0.222], [0.151, 0.246, 0.848, 0.259], [0.151, 0.283, 0.23, 0.296]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "Although PointFusion attempts to fuse RGB image and point cloud information in the second stage, its utilization of image and point cloud features is still insufficient, and its performance does not surpass that of FPointNets, a method that utilizes only point cloud information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.23, 0.283, 0.848, 0.296], [0.151, 0.32, 0.848, 0.333], [0.151, 0.357, 0.682, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.151, 0.405, 0.164, 0.419]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 3, "global_sentence_id": 74, "edu_l1_label": "BOS"}, {"txt": "Materials and methods", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.164, 0.405, 0.342, 0.419]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 3, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "3.1 Data set production", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.151, 0.443, 0.318, 0.456]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 2, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "As shown in Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.185, 0.475, 0.303, 0.488]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "1, the DF2204 tractor mounts the data acquisition platform, which includes the point cloud information acquisition module, image information acquisition module, and data storage and processing module.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.303, 0.475, 0.848, 0.488], [0.151, 0.512, 0.852, 0.525], [0.151, 0.549, 0.281, 0.562]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "The point cloud information acquisition module is the RS-Ruby Lite mechanical 80line LiDAR, installed on the crossbar at 1.33 m from the ground, with an acquisition frequency of 10 Hz, a vertical field of view of 40° (-25°~+15°), a vertical resolution of 0.1°, and a horizontal resolution of0.2°.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.281, 0.549, 0.848, 0.562], [0.151, 0.586, 0.848, 0.599], [0.151, 0.623, 0.853, 0.636], [0.151, 0.66, 0.183, 0.673]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "The image information acquisition module is the MV-CS050-10GMGC-PRO industrial camerawith an MVL-MF0828M-8MP fixed-focus lens that is mounted on a crossbar 1.03 m above the ground and is activated by LiDAR.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.183, 0.66, 0.849, 0.673], [0.151, 0.697, 0.848, 0.71], [0.151, 0.734, 0.335, 0.747]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "It has a resolution of 1224x1024, a horizontal field of view of 54.97°, and avertical field of view of 47.06°.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.335, 0.734, 0.848, 0.747], [0.151, 0.771, 0.37, 0.784]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "The acquisition frequency is 10 Hz.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.37, 0.771, 0.622, 0.784]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "The data storage and processingmodule is a Nuvo-810GC type industrial computer, installed in the tractor cab, and receives the data collected by the camera and the LiDAR sensor via Ethernet protocol.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.622, 0.771, 0.848, 0.784], [0.151, 0.808, 0.848, 0.821], [0.151, 0.845, 0.615, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.262, 0.099, 0.764, 0.283]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 1, "global_sentence_id": 84, "edu_l1_label": "EDU_O"}, {"txt": "Figure 1 Data Acquisition Platform", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.396, 0.294, 0.636, 0.305]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 85, "edu_l1_label": "EDU_O"}, {"txt": "In March 2024, we conducted the data collection in Henanzhai Town, Miyun District, Beijing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.185, 0.32, 0.848, 0.333]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "Given the local environment's complexity, the tractor collected data at a driving speed of 5 km/h.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.151, 0.357, 0.818, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "The data collection period spanned approximately one hour, during which we selected about 20 minutes of driving section data that contained richer object information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.818, 0.357, 0.852, 0.37], [0.151, 0.394, 0.852, 0.407], [0.151, 0.431, 0.556, 0.444]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "Given the slow driving speed of the tractor, we constructed the dataset by capturing one key frame for every 10 frames, ultimately obtaining a total of 1,295 valid frames.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.556, 0.431, 0.848, 0.444], [0.151, 0.468, 0.848, 0.481], [0.151, 0.505, 0.299, 0.519]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "We set the region of interest (ROI) to be the overlapping range of the LiDAR and the camera's field of view and annotated the 3D bounding box for the six categories of dynamic obstacles within the ROI, which include cars, people, cyclists, bicycles, trucks, and freight tricycles, according to the KITTI(Geiger et al., 2013) standard.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.299, 0.505, 0.848, 0.519], [0.151, 0.542, 0.848, 0.556], [0.151, 0.58, 0.852, 0.593], [0.151, 0.617, 0.429, 0.63]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "We utilized the camera and LiDAR's external parameters to project the 3D annotation truth values onto the image, thereby generating the 2D annotation truth values.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.429, 0.617, 0.848, 0.63], [0.151, 0.654, 0.848, 0.667]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "Consequently, we constructed a multimodal 3D object detection dataset from the tractor road scene.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.151, 0.691, 0.823, 0.704]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "We then compared this dataset with the annotated pedestrian categories found in the KITTI dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.823, 0.691, 0.852, 0.704], [0.151, 0.728, 0.816, 0.741]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "Our dataset features people in various postures, including sitting, squatting, tilting, and leaning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.816, 0.728, 0.852, 0.741], [0.151, 0.765, 0.752, 0.778]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "Table 1 shows the composition of the dataset, with the two main categories of \"cars\" and \"people\" accounting for a larger proportion of the data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.752, 0.765, 0.852, 0.778], [0.151, 0.802, 0.852, 0.815], [0.151, 0.839, 0.345, 0.852]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "Table 1 Data set object statistics", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.409, 0.089, 0.626, 0.1]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 96, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": 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"position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.185, 0.376, 0.849, 0.389], [0.151, 0.413, 0.849, 0.426], [0.151, 0.45, 0.174, 0.463]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "To prevent errors from accumulating during training, we directly utilize the 2D bounding box ground truth values for the training and validation sets to generate the corresponding frustum point clouds and crop image data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.185, 0.487, 0.848, 0.5], [0.151, 0.524, 0.849, 0.537], [0.151, 0.561, 0.292, 0.574]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "Set 𝑃∈Rଷ as a point in the point cloud space and transform it into its projectionon the image plane 𝑃ത∈Rଶ using the camera projection matrix 𝑇:Rଷ→Rଶ .", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.292, 0.561, 0.848, 0.574], [0.151, 0.599, 0.695, 0.612]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "Next, we remove theprojected point cloud outside the 2D bounding box and extract the point cloud data from the object frustum.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.695, 0.599, 0.853, 0.612], [0.151, 0.635, 0.853, 0.648], [0.151, 0.672, 0.208, 0.685]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "Following a specific cropping strategy, we generate the object crop image based on the object's 2D bounding box.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.208, 0.672, 0.853, 0.685], [0.151, 0.709, 0.273, 0.722]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "Meanwhile, for the training set, given that real 2D detection is generally unable to reach the annotated standard, we use perturbations of the 2D ground truth bounding box to simulate the real detection results and augment the data with multiple perturbations to increase the algorithm's robustness (Eq.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.185, 0.746, 0.849, 0.759], [0.151, 0.783, 0.849, 0.796], [0.151, 0.82, 0.848, 0.834], [0.151, 0.857, 0.18, 0.871]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.18, 0.857, 0.202, 0.871]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "= x + w * shift_ratio * a", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.392, 0.092, 0.583, 0.107]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": "= y + h * shift_ratio * a", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.395, 0.108, 0.582, 0.124]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "w′", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.372, 0.124, 0.395, 0.136]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 7, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "= w + w * shift_ratio * a", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.393, 0.124, 0.586, 0.137]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 6, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "↓h′ = h + h * shift_ratio * a", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.368, 0.137, 0.58, 0.153]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 5, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "(1)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.617, 0.116, 0.64, 0.131]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 8, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": "Where 𝑥, 𝑦, 𝑤, and ℎ are the center coordinates of the annotated 2D box and the width and heightvalues, 𝛼 is a random number ∈[−1,1], 𝑠ℎ𝑖𝑓𝑡_𝑟𝑎𝑡𝑖𝑜is the perturbation rate parameter, and the value is 0.1, which represents the random movement of the center point of the annotated 2D box and the random scaling of the width and height.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.147, 0.169, 0.854, 0.522]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "th bounding box to regenerate objects' frustum point cloud and crop ct's 2D box five times, resulting in a total of 11,980 objects that image as training data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.147, 0.169, 0.854, 0.522]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "The original training set had the test set.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.147, 0.169, 0.854, 0.522]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "Firstly, it pretrains Yolov7(CY.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.147, 0.169, 0.854, 0.522]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "Wang et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.147, 0.169, 0.854, 0.522]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "fine-tunes it on the tractor road image dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.147, 0.169, 0.854, 0.522]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "Finally, the frustum point cloud and crop image data are generated using the object 2D bounding box created by the fine-tuned Yolov7.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.147, 0.169, 0.854, 0.522]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "3.2.2 Frustum fusion networks", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.151, 0.555, 0.37, 0.568]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 3, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": "We construct a 3D object detection network called FFNets based on the hybrid fusion paradigm, using FPointNets as its foundation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.185, 0.605, 0.848, 0.618], [0.151, 0.642, 0.387, 0.655]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.143, 0.675, 0.857, 0.87]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 122, "edu_l1_label": "EDU_O"}, {"txt": "Fig. 2 FFNets architecture", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.426, 0.875, 0.605, 0.887]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 4, "global_sentence_id": 123, "edu_l1_label": "EDU_O"}, {"txt": "Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.185, 0.098, 0.211, 0.111]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "2 shows the architecture of our model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.211, 0.098, 0.468, 0.111]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": "The original FPointNets model consists of four modules: (a), (b), (c), and (e).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.468, 0.098, 0.848, 0.111], [0.151, 0.135, 0.296, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": "For modules (b), FPointNets provides two architectures based on PoiNet and PointNet++, which correspond to the versions FPointNetv1 and FPointNetv2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.296, 0.135, 0.848, 0.148], [0.151, 0.172, 0.668, 0.185]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "In this paper, we introduce the Gaussian mask mechanism in the box part of module (a) to enhance the point cloud features, and we add the image 3D object feature extraction module (d).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.668, 0.172, 0.849, 0.185], [0.151, 0.209, 0.848, 0.222], [0.151, 0.246, 0.515, 0.259]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "Finally, we combine the five modules (a), (b), (c), (d), and (e) to form the FFNets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.515, 0.246, 0.849, 0.259], [0.151, 0.283, 0.36, 0.296]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "Module (c) can be substituted for any 2D detection network.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.36, 0.283, 0.765, 0.296]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "FFNets also includes two versions, FFNetv1 and FFNetv2, which correspond to the two architectures of module (b).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.765, 0.283, 0.848, 0.296], [0.151, 0.32, 0.849, 0.333]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "In Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.151, 0.357, 0.197, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "2, modules (a) and (b) make up the point cloud feature extraction pipeline, and the modules (c) and (d) make up the image feature extraction pipeline.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.197, 0.357, 0.848, 0.37], [0.151, 0.394, 0.517, 0.407]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "Modules (a) and (c) form the early-fusion, while the modules (b) and (d) form the intermediate-fusion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.517, 0.394, 0.848, 0.407], [0.151, 0.431, 0.521, 0.444]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": "The FFNets take modal data from both the 3D point cloud and the RGB image and, by inference, output the object's 3D information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.521, 0.431, 0.848, 0.444], [0.151, 0.468, 0.728, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": "3.2.2.1 Point cloud feature extraction pipeline", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.151, 0.518, 0.476, 0.531]]}]}, "tags": ["title"], "label": "title4", "web_segment_id": 2, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "Modules (a) and (b) in Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.185, 0.568, 0.365, 0.582]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "2 illustrate the point cloud feature extraction pipeline in the FFNets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.365, 0.568, 0.823, 0.582]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "We detect 2D objects by using regular rectangles that contain the minimum of the object, but the frustum point cloud obtained through it typically doesn't precisely describe the object.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.823, 0.568, 0.848, 0.582], [0.151, 0.605, 0.848, 0.619], [0.151, 0.643, 0.68, 0.656]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 139, "edu_l1_label": "IOS"}, {"txt": "In addition to the object itself, the points in the space frequently contain foreground and background noise.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.68, 0.643, 0.849, 0.656], [0.151, 0.68, 0.704, 0.693]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 140, "edu_l1_label": "IOS"}, {"txt": "In real-world scenes, the diversity of human postures and grouping, as well as the variety of vehicle shapes and susceptibility to occlusion, complicate object detection in such scenarios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.704, 0.68, 0.848, 0.693], [0.151, 0.717, 0.848, 0.73], [0.151, 0.754, 0.595, 0.767]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "Therefore, distinguishing between foreground and background noise becomes very difficult.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.595, 0.754, 0.849, 0.767], [0.151, 0.791, 0.533, 0.804]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "The same problem exists in the scene of tractor roads.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.533, 0.791, 0.848, 0.804], [0.151, 0.828, 0.192, 0.841]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "We try to solve the above problem by using a 2D Gaussian mask to describe the centrality of the", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.185, 0.865, 0.848, 0.878]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "points in the frustum point cloud (Eq.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.151, 0.098, 0.408, 0.111]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "2), based on the fact that the object is more likely to occupy the center region of the 2D box.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.408, 0.098, 0.853, 0.111], [0.151, 0.135, 0.341, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "Where 𝑥 and 𝑦 represent the projected coordinates of the point cloud on the image plane.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.186, 0.209, 0.791, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "𝑥଴ and𝑦଴ represent the center points of the 2D bounding box, while 𝑤 and ℎ represent its width and height.We add the image Gaussian mask values to the point cloud based on where the point cloud projection is on the image plane.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.791, 0.209, 0.853, 0.222], [0.151, 0.247, 0.849, 0.259], [0.151, 0.283, 0.849, 0.296], [0.151, 0.32, 0.285, 0.333]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 148, "edu_l1_label": "IOS"}, {"txt": "This enables the expansion of the frustum point cloud features to four dimensions and the conversion of the point cloud channel features to D =(𝑥、𝑦、𝑧、𝜉).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.285, 0.32, 0.848, 0.333], [0.151, 0.357, 0.697, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": "According to Eq.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.697, 0.357, 0.818, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "2, apoint's proximity to the object's box center correlates with a higher mask value, while a point's distance from the center results in a smaller mask value.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.818, 0.357, 0.849, 0.37], [0.151, 0.394, 0.852, 0.407], [0.151, 0.431, 0.461, 0.444]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "Since the object is more likely to occupy the center region, adding one-dimensional Gaussian mask features as weights to the point cloud allows for a rough distinction between foreground and background noise without significantly increasing the complexity (see module (a)).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.461, 0.431, 0.848, 0.444], [0.151, 0.468, 0.852, 0.481], [0.151, 0.505, 0.848, 0.519], [0.151, 0.542, 0.265, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "Next, we sample 𝑛= 1024 points from the frustum point cloud, attaching Gaussian mask featuresto them.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.185, 0.58, 0.852, 0.593], [0.151, 0.617, 0.208, 0.63]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "We then input these points into the 3D instance segmentation module, along with the object category code 𝑘 that we identified from the image.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.208, 0.617, 0.849, 0.63], [0.151, 0.654, 0.514, 0.667]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "In the segmented object point cloud, 𝑚= 512object points are chosen, and the object points' center of mass is used as the initial center point.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.514, 0.654, 0.848, 0.667], [0.151, 0.691, 0.789, 0.704]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "We then panned the point cloud to the center point and fed it into the amodal 3D box estimation module, which extracted it into a 1 × 512 point cloud feature vector (see module (b)).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.789, 0.691, 0.848, 0.704], [0.151, 0.728, 0.848, 0.741], [0.151, 0.765, 0.634, 0.778]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "3.2.2.2 Image feature extraction pipeline", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.151, 0.815, 0.439, 0.828]]}]}, "tags": ["title"], "label": "title4", "web_segment_id": 3, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "Modules (c) and (d) in Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.18, 0.864, 0.845, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "2 illustrate the image feature extraction pipeline in the FFNets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.18, 0.864, 0.845, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "The", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.18, 0.864, 0.845, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "pipeline starts by using a 2D detection network to get the object in the image's 2D detection results, as shown in module (c).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.151, 0.098, 0.848, 0.111], [0.151, 0.135, 0.292, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "Module (d) illustrates how we use the 2D detection results to obtain the crop image, which we then input into the image 3D feature extraction module that employs the transformer encoder(Carion et al., 2020; Dosovitskiy et al., 2020) architecture.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.292, 0.135, 0.853, 0.148], [0.151, 0.172, 0.849, 0.185], [0.151, 0.209, 0.598, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "Because the point cloud is limited to the range of frustum space according to the 2D detection results of the image, cropping the output of module (c) is necessary to focus on the object and eliminate redundant information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.598, 0.209, 0.848, 0.222], [0.151, 0.246, 0.853, 0.259], [0.151, 0.283, 0.72, 0.296]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "While considering the transformer's advanced global modeling capabilities(Carion et al., 2020), the background information is also crucial for feature extraction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.72, 0.283, 0.848, 0.296], [0.151, 0.32, 0.848, 0.333], [0.151, 0.357, 0.41, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 164, "edu_l1_label": "IOS"}, {"txt": "Therefore, we apply cropping along the object's long side to encompass certain background information (Eq.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.41, 0.357, 0.848, 0.37], [0.151, 0.394, 0.474, 0.407]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": "3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.474, 0.394, 0.497, 0.407]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 166, "edu_l1_label": "IOS"}, {"txt": "L = max(w, h) * α (3)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.422, 0.422, 0.611, 0.44]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 3, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": "Where 𝑤 and ℎ are the width and height of the object's 2D bounding box, 𝛼= 1.5 is theexpansion scale parameter, and 𝐿 is the crop image's side length.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.185, 0.45, 0.852, 0.463], [0.151, 0.487, 0.593, 0.5]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "The initial image, 𝑥௢௕௝∈Rଷ×୐×୐ , is a crop image with an attached background (with 3 colorchannels).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.186, 0.524, 0.852, 0.537], [0.151, 0.561, 0.22, 0.574]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "After resizing the crop image to a size of 224 × 224 and feeding it into a conventional CNNbackbone consisting of 4 layers of resnet-layers(He et al., 2016), we generate a low-resolution activation map 𝑓௢௕௝∈Rେ×௟ᇲ×௟ᇲ, C=512,𝑙ᇱ=7.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.22, 0.561, 0.848, 0.574], [0.151, 0.598, 0.848, 0.611], [0.151, 0.636, 0.396, 0.649]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "Then, by 1 × 1 convolution, the activation map 𝑓௢௕௝ with high-dimensional features is reduced to a smaller dimension to create a new feature map 𝑓௢ᇱ௕௝∈Rୢ×௟ᇲ×௟ᇲ, 𝑑=128.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.396, 0.636, 0.848, 0.649], [0.151, 0.672, 0.848, 0.686], [0.151, 0.711, 0.183, 0.722]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "In order to adapt to the serialized input of the transformer encoder, we stretch the two-dimensional feature map into a one-dimensional vector, which further yields a 1 × 6272 feature vector.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.183, 0.711, 0.852, 0.722], [0.151, 0.746, 0.775, 0.759]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 172, "edu_l1_label": "IOS"}, {"txt": "After that,the feature vector is input into the transformer encoder module.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.775, 0.746, 0.848, 0.759], [0.151, 0.783, 0.6, 0.796]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": "Each encoder layer has a standard structure with an 8-head self-attention module and a feed-forward networks (FFN).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.6, 0.783, 0.848, 0.796], [0.151, 0.82, 0.72, 0.834]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": "We add positional encodings to the feature vector before sending it to the transformer encoder module.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.72, 0.82, 0.848, 0.834], [0.151, 0.857, 0.711, 0.871]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": "After three identical encoder layers, we can get a 1 × 512 crop image feature with background data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.711, 0.857, 0.849, 0.871], [0.151, 0.895, 0.694, 0.908]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 176, "edu_l1_label": "IOS"}, {"txt": "3.2.2.3 Hybrid Fusion", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.151, 0.094, 0.306, 0.107]]}]}, "tags": ["title"], "label": "title4", "web_segment_id": 2, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": "The FFNets use hybrid fusion to achieve 3D object detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.185, 0.144, 0.594, 0.157]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": "Firstly, in the early stage, the network generates a frustum point cloud based on the detection results of the 2D image and crops the object in the image to generate a crop image.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.594, 0.144, 0.848, 0.157], [0.151, 0.181, 0.848, 0.194], [0.151, 0.218, 0.397, 0.231]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "The network computes the Gaussian mask corresponding to each point, based on their 2D coordinates projected onto the image plane, to enhance the point cloud's features.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.397, 0.218, 0.853, 0.231], [0.151, 0.255, 0.848, 0.268]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "This interaction between the point cloud and the image is known as the early-fusion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.151, 0.292, 0.718, 0.305]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "In the intermediate stage, two pipelines are used to get the features from the point cloud and RGB image data and generate two 1x512 feature vectors.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.718, 0.292, 0.852, 0.305], [0.151, 0.329, 0.849, 0.342], [0.151, 0.366, 0.337, 0.38]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "We then concatenate the two feature vectors to generate a 1x1024 highdimensional fused feature vector.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.337, 0.366, 0.848, 0.38], [0.151, 0.404, 0.376, 0.417]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": "This interaction between the point cloud and the image is referred to as intermediate-fusion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.376, 0.404, 0.848, 0.417], [0.151, 0.441, 0.31, 0.454]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": "Subsequently, we feed the fused high-dimensional feature vectors into a multilayer perceptron (MLP) to obtain the 3D prediction results of the object, which include its location, size, and orientation, as illustrated in module (e) of Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.31, 0.441, 0.852, 0.454], [0.151, 0.478, 0.848, 0.491], [0.151, 0.515, 0.537, 0.528]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.537, 0.515, 0.556, 0.528]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "Given that the size differences among the same class of objects in the tractor road scene will not be significant, we use the mean values of the length, width, and height of the object in Table 1 as a priori information and further predict the residuals of the length, width, and height of the object to obtain the 3D dimensions of the object.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.556, 0.515, 0.849, 0.528], [0.151, 0.552, 0.849, 0.565], [0.151, 0.589, 0.852, 0.602], [0.151, 0.626, 0.722, 0.639]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": "For the orientation prediction, we employ a hybrid method of classification and regression(Mousavian et al., 2017), classifying the 360-degree orientations into 12 classes of 30 degrees each.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.722, 0.626, 0.848, 0.639], [0.151, 0.663, 0.849, 0.676], [0.151, 0.7, 0.641, 0.713]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": "After classification, we further regress the angle within the category to obtain an accurate orientation prediction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.641, 0.7, 0.848, 0.713], [0.151, 0.737, 0.695, 0.75]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.151, 0.798, 0.164, 0.811]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 3, "global_sentence_id": 190, "edu_l1_label": "BOS"}, {"txt": "Experimental results and discussion", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.164, 0.798, 0.44, 0.811]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 3, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "Experiments to evaluate the performance of FFNets were conducted on both the self-constructed tractor road dataset and the KITTI dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.185, 0.858, 0.852, 0.871], [0.151, 0.895, 0.436, 0.908]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.148, 0.094, 0.516, 0.11]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 193, "edu_l1_label": "EDU_O"}, {"txt": "The model was implemented based on TensorFlow 1.4, and the models before and after the improvement were trained on the constructed tractor road dataset, respectively, with the training platform of 3090-24G.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.185, 0.145, 0.849, 0.158], [0.151, 0.182, 0.848, 0.195], [0.151, 0.219, 0.241, 0.232]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "After 200 iterations of training, the model's accuracy (IoU > 0.7) and inference time on the validation set are shown in Table 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.241, 0.219, 0.848, 0.232], [0.151, 0.256, 0.389, 0.269]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "Table 2 Comparison of models on val set", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.38, 0.285, 0.655, 0.296]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 5, "global_sentence_id": 196, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.206, 0.298, 0.791, 0.361]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 4, "global_sentence_id": 197, "edu_l1_label": "EDU_O"}, {"txt": "As seen in Table 2, the FFNetv1 model, with the introduction of the Gaussian masking mechanism and the image 3D object feature extraction module, improves the average accuracy of the 3D box estimation accuracy on the validation set by 4.16% compared to FPointNetv1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.186, 0.37, 0.848, 0.383], [0.151, 0.407, 0.848, 0.42], [0.151, 0.444, 0.682, 0.457]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": "Meanwhile, the model's average inference time rose by 4.65 ms. We conducted further ablation studies on the validation set of the tractor road, and Table 3 shows the comparison results.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.682, 0.444, 0.852, 0.457], [0.151, 0.481, 0.852, 0.494], [0.151, 0.518, 0.545, 0.531]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": "Table 3 3D object detection accuracy for the tractor road val set", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.283, 0.546, 0.719, 0.558]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 200, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.149, 0.561, 0.852, 0.697]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 3, "global_sentence_id": 201, "edu_l1_label": "EDU_O"}, {"txt": "Note: √ indicates that the relevant policy is used - indicates that the relevant policy is not used", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.149, 0.698, 0.784, 0.712]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 7, "global_sentence_id": 202, "edu_l1_label": "IOS"}, {"txt": "Table 3 shows that in the validation set, the introduction of the Gaussian mask mechanism improves the 3D detection accuracy of the FFNetv1 model for the object by 1.87%, which proves that the Gaussian mask mechanism distinguishes the foreground from the background noise in the frustum point cloud to some extent.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.147, 0.726, 0.855, 0.89]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": "The addition of the image 3D feature extraction module enhances the detection accuracy of FFNetv1 by 1.05% when using a crop image without background information and by 2.29% when using", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.147, 0.726, 0.855, 0.89]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "a crop image with background information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.151, 0.098, 0.451, 0.111]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "This indicates that the rich contextual information of the image significantly aids in the detection of 3D objects.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.451, 0.098, 0.848, 0.111], [0.151, 0.135, 0.525, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "Additionally, the global modeling capability of the transformer architecture enables the 3D image feature extraction pipeline to more effectively extract 3D information from the crop image with specific background information, thereby improving the final detection results", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.525, 0.135, 0.853, 0.148], [0.151, 0.172, 0.852, 0.185], [0.151, 0.209, 0.848, 0.222], [0.151, 0.246, 0.261, 0.259]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "Based on FFNetv1, FFNetv2 is constructed by replacing the point cloud feature extraction module in Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.186, 0.283, 0.852, 0.296], [0.151, 0.32, 0.195, 0.333]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "2(b) with the PointNet++ architecture.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.195, 0.32, 0.455, 0.333]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": "We compared the performance of FFNetv1, FFNetv2, and FPointNetv2 on the validation set, and the results are shown in Table 4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.455, 0.32, 0.848, 0.333], [0.151, 0.357, 0.632, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 210, "edu_l1_label": "IOS"}, {"txt": "Table 4 Comparison of models on the tractor road val set", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.322, 0.385, 0.709, 0.397]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 4, "global_sentence_id": 211, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.215, 0.4, 0.78, 0.48]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 3, "global_sentence_id": 212, "edu_l1_label": "EDU_O"}, {"txt": "According to Table 4, FFNetv2 improves the 3D frame detection accuracy by 1.46% compared to FFNetv1, but the inference time increases by 6.41 ms.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.186, 0.49, 0.848, 0.503], [0.151, 0.527, 0.518, 0.54]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 213, "edu_l1_label": "IOS"}, {"txt": "It can be seen that the improvement of the point cloud feature extraction module in the original model, which is also applicable to the model in this paper, can still significantly increase the accuracy rate with a limited increase in the elapsed time.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.518, 0.527, 0.849, 0.54], [0.151, 0.564, 0.848, 0.577], [0.151, 0.601, 0.756, 0.614]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 214, "edu_l1_label": "IOS"}, {"txt": "It can also be noticed that FFNetv1 increases the accuracy by 1.45% compared to FPointNetv2 of the original model, while the time consumed decreases by 3.69 ms, which further proves the effectiveness and superiority of the Gaussian masking mechanism with the image 3D feature extraction module.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.756, 0.601, 0.848, 0.614], [0.151, 0.638, 0.848, 0.651], [0.151, 0.675, 0.853, 0.688], [0.151, 0.712, 0.689, 0.725]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 215, "edu_l1_label": "IOS"}, {"txt": "Table 5 shows the 3D detection AP for each network on the test set.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.186, 0.749, 0.642, 0.762]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 216, "edu_l1_label": "IOS"}, {"txt": "Table 5 AP (%) on the tractor road val set for 3D object detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.295, 0.089, 0.737, 0.101]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 4, "global_sentence_id": 217, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.156, 0.103, 0.849, 0.241]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 3, "global_sentence_id": 218, "edu_l1_label": "EDU_O"}, {"txt": "The results in Table 5 show that we propose that FFNetv2 outperforms FPointNetv2, the original model's best method, in all detection categories.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.186, 0.249, 0.852, 0.262], [0.151, 0.286, 0.474, 0.299]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 219, "edu_l1_label": "IOS"}, {"txt": "It's better by 1.83% for cars and 2.33% for people.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.474, 0.286, 0.818, 0.299]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 220, "edu_l1_label": "IOS"}, {"txt": "Our proposed FFNetv1 improves FPointNetv1 by 3.22% and FPointNetv2 by 1.49% in car detection and 1.95% and 0.69% in people detection, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.818, 0.286, 0.848, 0.299], [0.151, 0.323, 0.863, 0.336], [0.151, 0.36, 0.448, 0.373]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "Among all the models, the accuracy of cyclists detection is low, and the results of each model are similar on the detection of bicycles or freight tricycles, with large differences in the truck category.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.448, 0.36, 0.853, 0.373], [0.151, 0.397, 0.848, 0.41], [0.151, 0.434, 0.372, 0.447]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "This may be due to the small number of these categories in the test set and the influence of some outliers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.372, 0.434, 0.853, 0.447], [0.151, 0.471, 0.385, 0.484]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": "We further evaluated the object detection results of each category in terms of distance and orientation, using NuSences(Caesar et al., 2020) evaluation metrics, to mitigate the issue of data volume discrepancies and anomalies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.385, 0.471, 0.852, 0.484], [0.151, 0.508, 0.853, 0.522], [0.151, 0.545, 0.489, 0.559]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": "Table 6 Distance error (m) results on the tractor road test set", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.313, 0.574, 0.722, 0.587]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 5, "global_sentence_id": 225, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.154, 0.588, 0.848, 0.708]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 226, "edu_l1_label": "EDU_O"}, {"txt": "Table 6 demonstrates that FFNetv1 outperforms the two versions of the original model in terms of distance error in all categories.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.185, 0.715, 0.853, 0.728], [0.151, 0.752, 0.361, 0.765]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "FFNetv2 is optimal in object detection for all categories except freight tricycles, and it further reduces the distance errors for the two main categories of cars and people by 0.112 m and 0.088 m from FFNetv1, which is 0.199 m and 0.222 m less than the original model optimal method, FFNetv2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.361, 0.752, 0.853, 0.765], [0.151, 0.79, 0.848, 0.803], [0.151, 0.826, 0.848, 0.84], [0.151, 0.863, 0.274, 0.877]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 228, "edu_l1_label": "IOS"}, {"txt": "Additionally, we have also evaluated the orientation error in object detection, and the results are shown in Table 7.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.274, 0.863, 0.852, 0.877], [0.151, 0.901, 0.343, 0.914]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 229, "edu_l1_label": "IOS"}, {"txt": "Table 7 Orientation error (rad) results on the tractor road test set", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.301, 0.088, 0.735, 0.101]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 3, "global_sentence_id": 230, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.154, 0.102, 0.849, 0.222]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 0, "global_sentence_id": 231, "edu_l1_label": "EDU_O"}, {"txt": "Table 7 demonstrates that FFNetv2 excels in all object detection categories, reducing orientation errors by 0.015 rad and 0.019 rad compared to FFNetv1, and by 0.035 rad compared to the original model optimal method, FPointNetv2, and 0.024 rad.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.185, 0.23, 0.848, 0.244], [0.151, 0.268, 0.849, 0.281], [0.151, 0.305, 0.456, 0.318]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 232, "edu_l1_label": "IOS"}, {"txt": "In summary, our proposed FFNetv2 has superior performance in terms of object detection accuracy, distance error, and orientation error on the tractor road dataset compared to the two models of FFNetv1 and FPointNets, and the visualization results are shown in Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.185, 0.342, 0.853, 0.355], [0.151, 0.379, 0.848, 0.392], [0.151, 0.416, 0.571, 0.429]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 233, "edu_l1_label": "IOS"}, {"txt": "3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.571, 0.416, 0.588, 0.429]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 234, "edu_l1_label": "IOS"}, {"txt": "FrameI", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.164, 0.261, 0.184, 0.3]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 10, "global_sentence_id": 235, "edu_l1_label": "EDU_O"}, {"txt": 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[{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.213, 0.098, 0.736, 0.111]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 249, "edu_l1_label": "IOS"}, {"txt": "3(b) shows the detection results of the proposed model FFNetv2, and Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.736, 0.098, 0.848, 0.111], [0.151, 0.135, 0.543, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 250, "edu_l1_label": "IOS"}, {"txt": "3(c) shows the annotated true values.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.543, 0.135, 0.795, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 251, "edu_l1_label": "IOS"}, {"txt": "We can clearly see the superiority of FFNetv2 by comparing the objects annotated by the red box lines in the point cloud diagram.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.795, 0.135, 0.848, 0.148], [0.151, 0.172, 0.852, 0.185], [0.151, 0.209, 0.295, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 252, "edu_l1_label": "IOS"}, {"txt": "For the ground truth of the distance between the person and the farm machine annotated in Frame I, which is 36.426 m, the ground truth of the orientation is 1.875 rad.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.295, 0.209, 0.853, 0.222], [0.151, 0.246, 0.735, 0.259]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 253, "edu_l1_label": "IOS"}, {"txt": "FFNetv2 detects the distance of 36.356 m with an error of 0.070 m, detects the orientation of 1.784 rad, and has an error of 0.091 rad, while FPointNetv2 detects the distance of 36.098 m with an error of 0.328 m, detects the orientation of 1.281 rad, and has an error of 0.594 rad.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.735, 0.246, 0.848, 0.259], [0.151, 0.283, 0.848, 0.296], [0.151, 0.32, 0.848, 0.333], [0.151, 0.357, 0.532, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 254, "edu_l1_label": "IOS"}, {"txt": "For the car orientation indicated in Frame II, FFNetv2 is superior to FPointNetv2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.532, 0.357, 0.849, 0.37], [0.151, 0.394, 0.406, 0.407]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": "The ground truth of the indicated car orientation is 0.122 rad; FFNetv2 detects orientation at 0.074 rad with an error of 0.048 rad, while FPointNetv2 detects orientation at -3.107 rad with an error of 3.054 rad.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.406, 0.394, 0.848, 0.407], [0.151, 0.431, 0.848, 0.444], [0.151, 0.468, 0.417, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 256, "edu_l1_label": "IOS"}, {"txt": "4.2 Model evaluation on the KITTI dataset", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.151, 0.518, 0.457, 0.531]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 2, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "For a better comparison with other models, we further tested FFNetv2 on KITTI data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.185, 0.568, 0.769, 0.581]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "The KITTI dataset mainly contains 2D and 3D annotations of cars, pedestrians, and cyclists in urban driving scenes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.769, 0.568, 0.848, 0.581], [0.151, 0.605, 0.848, 0.618]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "Sensor configurations include a wide-angle camera and a Velodyne HDL-64E LiDAR.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.151, 0.642, 0.76, 0.655]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "The official training set contains 7481 images.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.76, 0.642, 0.848, 0.655], [0.151, 0.679, 0.377, 0.692]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": "We divided the dataset into a training set and a validation set according to MV3D(Chen et al., 2017b), with each set accounting for about half of the entire dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.377, 0.679, 0.852, 0.692], [0.151, 0.716, 0.815, 0.729]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 262, "edu_l1_label": "IOS"}, {"txt": "The performance of the FFNetv2 model is tested on the validation set and compared with the original modeloptimal network FPointNetv2 as a baseline, and the metrics on the validation set are shown in Tables 8 and 9.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.815, 0.716, 0.849, 0.729], [0.151, 0.753, 0.849, 0.767], [0.151, 0.79, 0.853, 0.804], [0.151, 0.828, 0.192, 0.841]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 263, "edu_l1_label": "IOS"}, {"txt": "Table 8 AP (%) on KITTI val set for BEV detection", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.326, 0.089, 0.676, 0.101]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 3, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.147, 0.1, 0.855, 0.278]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 265, "edu_l1_label": "EDU_O"}, {"txt": "Table 9 AP (%) on KITTI val set for 3D object detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.309, 0.296, 0.688, 0.308]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 4, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.147, 0.31, 0.853, 0.485]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 267, "edu_l1_label": "EDU_O"}, {"txt": "As shown in Tables 8 and 9, FFNetv2 has improved in most metrics compared to the original model network, both in BEV detection accuracy and 3D detection accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.147, 0.494, 0.854, 0.771]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "We also observe that our model significantly outperforms the original model in moderate and hard object detection; in Table 8, FFNetv2 achieves average improvements of 1.99% and 1.38% in moderate and hard object detection, respectively, compared to FPointNetv2, and in Table 9, FFNetv2 outperforms FPointNetv2 by an average of 3.33% and 2.78% in moderate and hard object detection, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.147, 0.494, 0.854, 0.771]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 269, "edu_l1_label": "IOS"}, {"txt": "This indicates that FFNetv2 improves more than the original model when faced with occluded objects, and we further demonstrate this result in Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.147, 0.494, 0.854, 0.771]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 270, "edu_l1_label": "IOS"}, {"txt": "4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.147, 0.494, 0.854, 0.771]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 271, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.143, 0.082, 0.865, 0.457]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 272, "edu_l1_label": "EDU_O"}, {"txt": "Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.186, 0.468, 0.213, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 273, "edu_l1_label": "IOS"}, {"txt": "4(a) shows the detection results of the original model, FPointNetv2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.213, 0.468, 0.703, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 274, "edu_l1_label": "IOS"}, {"txt": "Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.703, 0.468, 0.737, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 275, "edu_l1_label": "IOS"}, {"txt": "4(b) shows the detection results of our proposed model, FFNetv2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.737, 0.468, 0.852, 0.481], [0.151, 0.505, 0.495, 0.519]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 276, "edu_l1_label": "IOS"}, {"txt": "Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.495, 0.505, 0.527, 0.519]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 277, "edu_l1_label": "IOS"}, {"txt": "4(c) shows the true values.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.527, 0.505, 0.715, 0.519]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 278, "edu_l1_label": "IOS"}, {"txt": "For the distance of the pedestrians annotated in Frame I, the ground truth of the pedestrian's distance is 19.553 m, the detection distance of FFNetv2 is 17.432 m, and the error is 2.121 m. The FPointNetv2 detects a distance of 7.944 m, with an error of 11.609 m. The ground truth of the car orientation annotated in Frame II is 0.090 rad; the detection orientation of FFNetv2 is 0.107 rad with an error of 0.017 rad; and the detection orientation of FPointNetv2 is 1.931 rad with an error of 1.841 rad.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.715, 0.505, 0.853, 0.519], [0.151, 0.542, 0.852, 0.556], [0.151, 0.58, 0.848, 0.593], [0.151, 0.617, 0.853, 0.63], [0.151, 0.654, 0.848, 0.667], [0.151, 0.691, 0.585, 0.704]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 279, "edu_l1_label": "IOS"}, {"txt": "We can significantly see the superiority of FFNetv2 for 3D object detection under occlusion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.585, 0.691, 0.848, 0.704], [0.151, 0.728, 0.504, 0.741]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 280, "edu_l1_label": "IOS"}, {"txt": "We further compared FFNetv2 with the current representative frustum-based methods, FConvNet (Z. Wang & Jia, 2019a) and FPointpillars (Paigwar et al., 2021a), on the KITTI validation set.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.186, 0.765, 0.853, 0.778], [0.151, 0.802, 0.786, 0.814]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 281, "edu_l1_label": "IOS"}, {"txt": "Table 10 shows the results of the BEV detection, while Table 11 shows the results of the 3D object detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.786, 0.802, 0.848, 0.814], [0.151, 0.839, 0.821, 0.852]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 282, "edu_l1_label": "IOS"}, {"txt": "Table 10 AP (%) on KITTI val set for BEV detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.319, 0.089, 0.679, 0.101]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 7, "global_sentence_id": 283, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.085, 0.105, 0.914, 0.229]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 0, "global_sentence_id": 284, "edu_l1_label": "EDU_O"}, {"txt": "In terms of pedestrian BEV detection, our proposed FFNetv2 has the highest average accuracy of 68.30%, which is optimal in the simple pedestrian and medium pedestrian categories but lower than FPointpillars in the difficult category.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.185, 0.239, 0.852, 0.252], [0.151, 0.276, 0.852, 0.289], [0.151, 0.313, 0.409, 0.326]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 286, "edu_l1_label": "IOS"}, {"txt": "With FPointpillars, BEV detection of cars and cyclists is better than FFNetv2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.409, 0.313, 0.853, 0.326], [0.151, 0.35, 0.25, 0.363]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 287, "edu_l1_label": "IOS"}, {"txt": "The evaluation of FConvNet did not include pedestrians and cyclists, and in the four model comparisons, it demonstrated only a slight advantage in the easy category of cars.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.25, 0.35, 0.848, 0.363], [0.151, 0.387, 0.746, 0.4]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 288, "edu_l1_label": "IOS"}, {"txt": "The 3D object detection is based on BEV detection with the addition of height dimension information, which is more difficult compared to the BEV detection, and the comparison of the detection effects of specific models is shown in Table 11.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.186, 0.424, 0.848, 0.437], [0.151, 0.461, 0.849, 0.474], [0.151, 0.498, 0.469, 0.511]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 289, "edu_l1_label": "IOS"}, {"txt": "Table 11 AP (%) on KITTI val set for 3D object detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.303, 0.526, 0.691, 0.539]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 8, "global_sentence_id": 290, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.086, 0.543, 0.915, 0.667]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 291, "edu_l1_label": "EDU_O"}, {"txt": "In the 3D object detection results for pedestrians, our proposed FFNetv2 achieves optimal results in", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.181, 0.674, 0.851, 0.69]]}]}, "tags": ["table_caption"], "label": "content", "web_segment_id": 6, "global_sentence_id": 292, "edu_l1_label": "IOS"}, {"txt": "all three levels of 3D detection:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.151, 0.713, 0.367, 0.726]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 293, "edu_l1_label": "IOS"}, {"txt": " easy, moderate, and hard, with an average accuracy of 63.89%.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.367, 0.713, 0.804, 0.726]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 294, "edu_l1_label": "IOS"}, {"txt": "In the 3D object detection results for cars, FPointpillars has the best average accuracy, and in the 3D object detection results for cyclists, FPointpillars has the best results in each category.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.804, 0.713, 0.852, 0.726], [0.151, 0.75, 0.853, 0.763], [0.151, 0.787, 0.697, 0.8]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 295, "edu_l1_label": "IOS"}, {"txt": "FConvNet only has a slight advantage in simple car category detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.697, 0.787, 0.852, 0.8], [0.151, 0.824, 0.484, 0.837]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 296, "edu_l1_label": "IOS"}, {"txt": "Comparing the BEV detection and 3D object detection results of FFNetv2 and FPointpillars in the KITTI validation set, there is a gap between FFNetv2 and FPointpillars in both cars category detection,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.185, 0.861, 0.852, 0.874], [0.151, 0.898, 0.849, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 297, "edu_l1_label": "IOS"}, {"txt": "with a bigger gap in 3D object detection;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.151, 0.098, 0.432, 0.111]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 298, "edu_l1_label": "IOS"}, {"txt": " in cyclists detection, there is a bigger gap in BEV detection; and in pedestrians BEV detection, the FFNetv2 improves compared to FPointpillars, and more in 3D object detection; in particular, the accuracy of BEV detection for the difficult category of pedestrians is lower in FFNetv2 than in FPointpillars, but the accuracy of detection in 3D bounding box is higher in FFNetv2 than in FPointpillars, which illustrates that for small objects with occlusions, the introduction of a priori information about the object's length, width, and height may improve the height dimension recognition of FFNetv2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.432, 0.098, 0.848, 0.111], [0.151, 0.135, 0.849, 0.148], [0.151, 0.172, 0.852, 0.185], [0.151, 0.209, 0.848, 0.222], [0.151, 0.246, 0.848, 0.259], [0.151, 0.283, 0.848, 0.296], [0.151, 0.32, 0.314, 0.333]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 299, "edu_l1_label": "IOS"}, {"txt": "5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.151, 0.381, 0.164, 0.395]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 300, "edu_l1_label": "BOS"}, {"txt": "Conclusions", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.164, 0.381, 0.26, 0.395]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 301, "edu_l1_label": "IOS"}, {"txt": "Aiming at the problems of underutilization of image information by frustum-based object detection methods and less research work on 3D object detection in agricultural tractor road scenes, we created an object detection dataset specifically for agricultural scenes, and subsequently developed an 3D object detection network known as FFNets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.185, 0.441, 0.848, 0.455], [0.151, 0.478, 0.848, 0.492], [0.151, 0.516, 0.849, 0.529], [0.151, 0.553, 0.406, 0.566]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 302, "edu_l1_label": "IOS"}, {"txt": "This network can be based on any mature 2D object detection network to achieve real-time 3D object detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.406, 0.553, 0.848, 0.566], [0.151, 0.59, 0.484, 0.603]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 303, "edu_l1_label": "IOS"}, {"txt": "Our major contributions are as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.484, 0.59, 0.752, 0.603]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 304, "edu_l1_label": "IOS"}, {"txt": "(1) We collected 80-line LiDAR point cloud and RGB image data in the tractor road scene using the DF2204 tractor's data acquisition platform.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.185, 0.627, 0.848, 0.64], [0.151, 0.664, 0.443, 0.677]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 305, "edu_l1_label": "IOS"}, {"txt": "We then annotated six categories of common objects in the tractor road scene and compared them with the KITTI dataset, which includes data from people in richer poses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.443, 0.664, 0.848, 0.677], [0.151, 0.701, 0.848, 0.714], [0.151, 0.738, 0.193, 0.751]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 306, "edu_l1_label": "IOS"}, {"txt": "Finally, we constructed a 3D object detection dataset for the tractor road scene.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.193, 0.738, 0.727, 0.751]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 307, "edu_l1_label": "IOS"}, {"txt": "(2) The point cloud data itself contains object location information, but the foreground and background noise around the object will reduce the 3D object detection accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.147, 0.772, 0.855, 0.903]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 308, "edu_l1_label": "IOS"}, {"txt": "The image data itself contains object context information but lacks 3D location information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.147, 0.772, 0.855, 0.903]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 309, "edu_l1_label": "IOS"}, {"txt": "Increasing the background information of the image can help the network better understand the location of the object in the scene", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.147, 0.772, 0.855, 0.903]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 310, "edu_l1_label": "IOS"}, {"txt": "and thus improve the 3D detection accuracy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.151, 0.098, 0.452, 0.111]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 311, "edu_l1_label": "IOS"}, {"txt": "Our proposed FFNets take into account the characteristics of the two modalities of data for 3D object detection by introducing Gaussian masks to roughly distinguish the front background noise in the frustum point cloud and cropping the image to retain the object's background information, which effectively improves the detection effect.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.452, 0.098, 0.848, 0.111], [0.151, 0.135, 0.848, 0.148], [0.151, 0.172, 0.852, 0.185], [0.151, 0.209, 0.717, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 312, "edu_l1_label": "IOS"}, {"txt": "FFNetv1 achieves superior results in 3D object detection accuracy, distance error, and direction error on the constructed tractor road dataset for the two primary categories of people and cars.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.717, 0.209, 0.853, 0.222], [0.151, 0.246, 0.848, 0.259], [0.151, 0.283, 0.62, 0.296]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 313, "edu_l1_label": "IOS"}, {"txt": "Further, on the basis of FFNetv1, FFNetv2 is proposed with even better performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.62, 0.283, 0.849, 0.296], [0.151, 0.32, 0.498, 0.333]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 314, "edu_l1_label": "IOS"}, {"txt": "Compared with the original model optimal method, FPointNetv2, FFNetv2 improves the 3D frame accuracy by 1.83% and 2.33% on the two main categories of people and cars, respectively, and reduces the distance error by 0.199 m and 0.222 m and the direction error by 0.035 rad and 0.024 rad.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.498, 0.32, 0.848, 0.333], [0.151, 0.357, 0.848, 0.37], [0.151, 0.394, 0.852, 0.407], [0.151, 0.431, 0.382, 0.444]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 315, "edu_l1_label": "IOS"}, {"txt": "The performance is optimized, while the average inference time of single frame data is about 26 ms, which can meet the real-time requirement of driverless agricultural machines traveling safely on the tractor road.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.382, 0.431, 0.853, 0.444], [0.151, 0.468, 0.848, 0.481], [0.151, 0.505, 0.463, 0.519]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 316, "edu_l1_label": "IOS"}, {"txt": "On the KITTI validation set, FFNetv2 has a significant improvement over FPointNetv2 in terms of moderate- and hard-level object detection results.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.463, 0.505, 0.852, 0.519], [0.151, 0.542, 0.775, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 317, "edu_l1_label": "IOS"}, {"txt": "Compared with other methods in the frustum-based class, FFNetv2 performs excellently in detecting people compared with other models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.775, 0.542, 0.849, 0.556], [0.151, 0.58, 0.848, 0.593], [0.151, 0.617, 0.358, 0.63]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 318, "edu_l1_label": "IOS"}, {"txt": "Especially for occluded pedestrians, it is more advantageous in 3D detection compared to other models, which indicates that FFNetv2 has an advantage over other models in the detection of pedestrians, a smaller object.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.358, 0.617, 0.849, 0.63], [0.151, 0.654, 0.849, 0.667], [0.151, 0.691, 0.472, 0.704]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 319, "edu_l1_label": "IOS"}, {"txt": "(3) FFNetv2 is based on the frustum point cloud generated from 2D objects for point cloud feature extraction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.147, 0.725, 0.855, 0.892]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 320, "edu_l1_label": "IOS"}, {"txt": "Although this helps to achieve more accurate 3D detection, at the same time, the correlation between time consumption and the number of objects in the scene is higher in FFNetv2 as compared to the methods that process the whole scene data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.147, 0.725, 0.855, 0.892]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 321, "edu_l1_label": "IOS"}, {"txt": "For Frame II in Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.147, 0.725, 0.855, 0.892]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 322, "edu_l1_label": "IOS"}, {"txt": "3, which contains four objects, the inference time of FFNetv2 is 20.91 ms, and if we reduce one car in the frame, the inference time is", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.147, 0.725, 0.855, 0.892]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 323, "edu_l1_label": "IOS"}, {"txt": "reduced to 17.05 ms, and the inference time is further reduced to 14.67 ms by reducing two cars.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.151, 0.098, 0.805, 0.111]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 324, "edu_l1_label": "IOS"}, {"txt": "In the tractor road dataset validation set, FFNetv2's average inference time is 25.73 ms.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.805, 0.098, 0.849, 0.111], [0.151, 0.135, 0.692, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 325, "edu_l1_label": "IOS"}, {"txt": "This can meet the realtime 3D object detection needs of most tractor road scenes, but it still limits the model's use cases.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.692, 0.135, 0.848, 0.148], [0.151, 0.172, 0.804, 0.185]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 326, "edu_l1_label": "IOS"}, {"txt": "In our future work, we will further improve this deficiency.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.804, 0.172, 0.848, 0.185], [0.151, 0.209, 0.504, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 327, "edu_l1_label": "IOS"}, {"txt": "DECLARATION OF COMPETING INTEREST", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.151, 0.283, 0.501, 0.296]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 10, "global_sentence_id": 328, "edu_l1_label": "EDU_O"}, {"txt": "The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.185, 0.32, 0.849, 0.333], [0.151, 0.357, 0.616, 0.37]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 329, "edu_l1_label": "EDU_O"}, {"txt": "ACKNOWLEDGMENT", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.151, 0.431, 0.328, 0.444]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 330, "edu_l1_label": "IOS"}, {"txt": "The research was financially supported by the National Key Research & Development Program of China (Grant/Contract number:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], 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(2022).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.151, 0.617, 0.667, 0.63]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 334, "edu_l1_label": "EDU_O"}, {"txt": "Transfusion: Robust lidar-camera fusion for 3d object detection with transformers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.667, 0.617, 0.82, 0.63], [0.191, 0.636, 0.658, 0.649]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 335, "edu_l1_label": "EDU_O"}, {"txt": "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1090–1099.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.658, 0.636, 0.805, 0.649], [0.191, 0.654, 0.791, 0.667]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 336, "edu_l1_label": "EDU_O"}, {"txt": "Caesar, H., Bankiti, V., Lang, A. 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# FrustumFusionNets: A Three-Dimensional Object Detection Network Based on Tractor Road Scene ## 1.Introduction ## 2.Related work ### 2.1 End-to-end 3D object detection network ### 2.2 3D object detection network based on frustum ## 3.Materials and methods ### 3.1 Data set production ### 3.2 Method #### 3.2.1 Data pre-processing #### 3.2.2 Frustum fusion networks ##### 3.2.2.1 Point cloud feature extraction pipeline ##### 3.2.2.2 Image feature extraction pipeline ##### 3.2.2.3 Hybrid Fusion ## 4.Experimental results and discussion ### 4.2 Model evaluation on the KITTI dataset ## 5.Conclusions ### (3) FFNetv2 is based on the frustum point cloud generated from 2D objects for point cloud feature extraction.
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"web_segment_id": 3, "global_sentence_id": 7, "edu_l1_label": "IOS"}, {"txt": "这些矛盾变化主要表现为总量矛盾逐渐缓解,但结构性矛盾日益凸显。", "language": "chinese", "position": {"atoms": [{"position_id": 376, "txt": "这些矛盾变化主要表现为总量矛盾逐渐缓解,但结构性矛盾日益凸显。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "这些新趋势与新矛盾对人力资源与人力资本的培养提出了新的要求。", "language": "chinese", "position": {"atoms": [{"position_id": 377, "txt": "这些新趋势与新矛盾对人力资源与人力资本的培养提出了新的要求。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "这是我们当前面临的问题,也是我们需要认识和应对问题的逻辑前提。", "language": "chinese", "position": {"atoms": [{"position_id": 378, "txt": "这是我们当前面临的问题,也是我们需要认识和应对问题的逻辑前提。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "我将在此逻辑框架下对劳动力市场进行分析,特别是从人口角度探讨劳动力市场的新矛盾。", "language": "chinese", "position": {"atoms": [{"position_id": 379, "txt": "我将在此逻辑框架下对劳动力市场进行分析,特别是从人口角度探讨劳动力市场的新矛盾。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "在探讨就业和失业问题时,我们通常会考虑两个主要因素:", "language": "chinese", "position": {"atoms": [{"position_id": 381, "txt": "在探讨就业和失业问题时,我们通常会考虑两个主要因素:", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "周期性因素和结构性因素。", "language": "chinese", "position": {"atoms": [{"position_id": 383, "txt": "周期性因素和结构性因素。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[7]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 5, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "我国宏观经济刚经历了一个周期性冲击。", "language": "chinese", "position": {"atoms": [{"position_id": 385, "txt": "我国宏观经济刚经历了一个周期性冲击。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "在受疫情影响的三年里,失业率大部分时间均显著高于自然失业率水平,即存在着周期性失业。", "language": "chinese", "position": {"atoms": [{"position_id": 386, "txt": "在受疫情影响的三年里,失业率大部分时间均显著高于自然失业率水平,即存在着周期性失业。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "长时间的周期性失业削弱了人们的就业信心与就业能力,这些影响在疫情后的经济恢复过程中仍然持续存在,即所谓的“磁滞效应”。", "language": "chinese", "position": {"atoms": [{"position_id": 387, "txt": "长时间的周期性失业削弱了人们的就业信心与就业能力,这些影响在疫情后的经济恢复过程中仍然持续存在,即所谓的“磁滞效应”。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "加之其他长期及结构性因素,共同导致了结构性就业矛盾的加剧。", "language": "chinese", "position": {"atoms": [{"position_id": 388, "txt": "加之其他长期及结构性因素,共同导致了结构性就业矛盾的加剧。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "一个突出表现是,虽然经济周期已过,失业率基本恢复至自然水平,即接近充分就业状态,但自然失业率本身却有所上升。", "language": "chinese", "position": {"atoms": [{"position_id": 389, "txt": "一个突出表现是,虽然经济周期已过,失业率基本恢复至自然水平,即接近充分就业状态,但自然失业率本身却有所上升。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "从当前趋势来看,尽管失业率已有所下降,却很难再回到原先估算的自然失业率水平。", "language": "chinese", "position": {"atoms": [{"position_id": 390, "txt": "从当前趋势来看,尽管失业率已有所下降,却很难再回到原先估算的自然失业率水平。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "因此,参考学界的相关研究我们可以判断,自然失业率已有所提高。", "language": "chinese", "position": {"atoms": [{"position_id": 391, "txt": "因此,参考学界的相关研究我们可以判断,自然失业率已有所提高。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "这正是结构性就业矛盾的重要表现之一。", "language": "chinese", "position": {"atoms": [{"position_id": 392, "txt": "这正是结构性就业矛盾的重要表现之一。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "随着总量矛盾的相对缓解,结构性矛盾逐渐显现。", "language": "chinese", "position": {"atoms": [{"position_id": 394, "txt": "随着总量矛盾的相对缓解,结构性矛盾逐渐显现。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "这两个矛盾的消长与人口的年龄结构,特别是劳动年龄人口的年龄结构(即16岁至64岁人群的年龄分布)密切相关。", "language": "chinese", "position": {"atoms": [{"position_id": 395, "txt": "这两个矛盾的消长与人口的年龄结构,特别是劳动年龄人口的年龄结构", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[11]"}, {"position_id": 397, "txt": "(即16岁至64岁人群的年龄分布)", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[11]/span"}, {"position_id": 399, "txt": "密切相关。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[11]/span"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "人力资源部门常用求人倍率指标,即空岗数与求职人数的比例,来衡量劳动力市场的状况。", "language": "chinese", "position": {"atoms": [{"position_id": 400, "txt": "人力资源部门常用求人倍率指标,即空岗数与求职人数的比例,来衡量劳动力市场的状况。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[11]/span"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "虽然高求人倍率并不一定代表劳动力市场处于理想状态,但它确实反映了供求关系的变化,揭示出某些就业群体受欢迎的程度及其需求的满足情况。", "language": "chinese", "position": {"atoms": [{"position_id": 401, "txt": "虽然高求人倍率并不一定代表劳动力市场处于理想状态,但它确实反映了供求关系的变化,揭示出某些就业群体受欢迎的程度及其需求的满足情况。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[11]/span"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "通过观察求人倍率的变化,我们可以发现,人口年龄结构的变化恰好与求人倍率的变化相对应。", "language": "chinese", "position": {"atoms": [{"position_id": 403, "txt": "通过观察求人倍率的变化,我们可以发现,人口年龄结构的变化恰好与求人倍率的变化相对应。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "以2001年至2014年的数据为例,总量矛盾逐渐弱化,求人倍率整体呈现上升趋势,但不同年龄段的表现存在差异。", "language": "chinese", "position": {"atoms": [{"position_id": 404, "txt": "以2001年至2014年的数据为例,总量矛盾逐渐弱化,求人倍率整体呈现上升趋势,但不同年龄段的表现存在差异。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "总体而言,25~44岁劳动群体越来越受劳动力市场青睐,求人倍率也最高;", "language": "chinese", "position": {"atoms": [{"position_id": 406, "txt": "总体而言,", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[15]"}, {"position_id": 408, "txt": "25~44岁劳动群体越来越受劳动力市场青睐,求人倍率也最高;", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[15]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 9, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "而16~24岁青年群体的受欢迎程度趋于降低;", "language": "chinese", "position": {"atoms": [{"position_id": 409, "txt": "而16~24岁青年群体的受欢迎程度趋于降低;", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[15]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 9, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "45岁以上大龄劳动者的就业状况在劳动力短缺严重期间一度有所改善,但他们随后又逐渐变得不那么受欢迎。", "language": "chinese", "position": {"atoms": [{"position_id": 410, "txt": "45岁以上大龄劳动者的就业状况在劳动力短缺严重期间一度有所改善,但他们随后又逐渐变得不那么受欢迎。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[15]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 9, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "这反映了就业矛盾的变化,即结构性矛盾日益突出,且与年龄结构紧密相关。", "language": "chinese", "position": {"atoms": [{"position_id": 412, "txt": "这反映了就业矛盾的变化,即结构性矛盾日益突出,且与年龄结构紧密相关。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[15]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 9, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "同时,劳动年龄人口结构呈现出U字形趋势,加剧了就业结构性矛盾。", "language": "chinese", "position": {"atoms": [{"position_id": 413, "txt": "同时,劳动年龄人口结构呈现出U字形趋势,加剧了就业结构性矛盾。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[15]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 9, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "这一点将在下文详述。", "language": "chinese", "position": {"atoms": [{"position_id": 414, "txt": "这一点将在下文详述。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[15]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 9, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "就业优先与人口支持政策目标要一致", "language": "chinese", "position": {"atoms": [{"position_id": 416, "txt": "就业优先与人口支持政策目标要一致", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[17]"}]}, "tags": [], "label": "title1", "web_segment_id": 10, "global_sentence_id": 34, "edu_l1_label": "BOS"}, {"txt": "利用“一老一小”大框架,可以将针对劳动力市场问题的研究和政策建议,都聚焦到以应对老龄化和少子化为重点的人口发展战略的完善上面。", "language": "chinese", "position": {"atoms": [{"position_id": 418, "txt": "利用“一老一小”大框架,可以将针对劳动力市场问题的研究和政策建议,都聚焦到以应对老龄化和少子化为重点的人口发展战略的完善上面。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 11, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "换言之,就业优先政策与人口支持政策在目的、路径和方法上均一致,两者可以相互融合,你中有我、我中有你。", "language": "chinese", "position": {"atoms": [{"position_id": 419, "txt": "换言之,就业优先政策与人口支持政策在目的、路径和方法上均一致,两者可以相互融合,你中有我、我中有你。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 11, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "当前,“一老一小”就业群体的规模日益扩大。", "language": "chinese", "position": {"atoms": [{"position_id": 421, "txt": "当前,“一老一小”就业群体的规模日益扩大。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "尽管中年就业群体仍是核心就业人群,但16~24岁人群和55岁以上人群的总和已占到全部劳动年龄人口的三分之一以上,且未来这一比例还将上升,他们的就业困难将更加突出。", "language": "chinese", "position": {"atoms": [{"position_id": 422, "txt": "尽管中年就业群体仍是核心就业人群,但16~24岁人群和55岁以上人群的总和已占到全部劳动年龄人口的三分之一以上,且未来这一比例还将上升,他们的就业困难将更加突出。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "因此,这些劳动者应是就业优先政策的重点关注人群。", "language": "chinese", "position": {"atoms": [{"position_id": 423, "txt": "因此,这些劳动者应是就业优先政策的重点关注人群。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "无论是从人口发展战略的角度,还是从劳动力市场的角度来看,“一老一小”群体(劳动年龄人口中的大龄和青年群体)都面临着相似的就业结构性问题。", "language": "chinese", "position": {"atoms": [{"position_id": 425, "txt": "无论是从人口发展战略的角度,还是从劳动力市场的角度来看,“一老一小”群体", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[23]"}, {"position_id": 427, "txt": "(劳动年龄人口中的大龄和青年群体)", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[23]/span"}, {"position_id": 429, "txt": "都面临着相似的就业结构性问题。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[23]/span"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "因此,我们高度关注这些群体,并致力于解决他们的就业难题。", "language": "chinese", "position": {"atoms": [{"position_id": 430, "txt": "因此,我们高度关注这些群体,并致力于解决他们的就业难题。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[23]/span"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "展望未来,从人口年龄结构的变化趋势来看,中年群体在总人口中仍占据较高比例,但大龄劳动人群的数量将逐渐增加。", "language": "chinese", "position": {"atoms": [{"position_id": 432, "txt": "展望未来,从人口年龄结构的变化趋势来看,中年群体在总人口中仍占据较高比例,但大龄劳动人群的数量将逐渐增加。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "同时,少年儿童人口虽然目前占比较大,但很快就会减少,而他们将逐渐成长为年轻的就业群体。", "language": "chinese", "position": {"atoms": [{"position_id": 433, "txt": "同时,少年儿童人口虽然目前占比较大,但很快就会减少,而他们将逐渐成长为年轻的就业群体。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "因此,解决大龄劳动者和青年就业群体的就业难题,都是我们长期面临的艰巨任务。", "language": "chinese", "position": {"atoms": [{"position_id": 434, "txt": "因此,解决大龄劳动者和青年就业群体的就业难题,都是我们长期面临的艰巨任务。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "要完善人口支持政策体系,核心目标在于获取人口红利,而要实现这一目标并非易事,需要有相应的体制机制作为支撑。", "language": "chinese", "position": {"atoms": [{"position_id": 436, "txt": "要完善人口支持政策体系,核心目标在于获取人口红利,而要实现这一目标并非易事,需要有相应的体制机制作为支撑。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "通过深化相关领域改革,在劳动力市场上实现更充分和更高质量的就业,进而提高居民收入,从供给侧和需求侧支撑经济增长,这是改革红利的关键落脚点。", "language": "chinese", "position": {"atoms": [{"position_id": 437, "txt": "通过深化相关领域改革,在劳动力市场上实现更充分和更高质量的就业,进而提高居民收入,从供给侧和需求侧支撑经济增长,这是改革红利的关键落脚点。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "中国人口结构的U字形与就业匹配度的倒U字形", "language": "chinese", "position": {"atoms": [{"position_id": 439, "txt": "中国人口结构的U字形与就业匹配度的倒U字形", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[29]"}]}, "tags": [], "label": "title1", "web_segment_id": 16, "global_sentence_id": 47, "edu_l1_label": "BOS"}, {"txt": "基于以上大背景,我设想了一个U字形的人口结构曲线与一个倒U字形的匹配曲线,以反映我们面临的结构性就业矛盾。", "language": "chinese", "position": {"atoms": [{"position_id": 441, "txt": "基于以上大背景,我设想了一个U字形的人口结构曲线与一个倒U字形的匹配曲线,以反映我们面临的结构性就业矛盾。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[31]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "这一假说有待于进一步论证和验证。", "language": "chinese", "position": {"atoms": [{"position_id": 442, "txt": "这一假说有待于进一步论证和验证。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[31]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/32U9GE16bDtC1pHi8E3a1B4i.png", "language": "chinese", "position": {"atoms": [{"position_id": 231, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/32U9GE16bDtC1pHi8E3a1B4i.png", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[33]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 18, "global_sentence_id": 50, "edu_l1_label": "EDU_O"}, {"txt": "图6—2可以被看作一张基于经验和数据支撑的示意图。", "language": "chinese", "position": {"atoms": [{"position_id": 444, "txt": "图6—2可以被看作一张基于经验和数据支撑的示意图。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[35]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 20, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "之所以说有经验的支撑,是因为该图系由跨国数据所得。", "language": "chinese", "position": {"atoms": [{"position_id": 445, "txt": "之所以说有经验的支撑,是因为该图系由跨国数据所得。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "图中向下倾斜的曲线,反映了处于人口转变最低阶段的状态,即拥有非常年轻的劳动年龄人口的极端情况。", "language": "chinese", "position": {"atoms": [{"position_id": 446, "txt": "图中向下倾斜的曲线,反映了处于人口转变最低阶段的状态,即拥有非常年轻的劳动年龄人口的极端情况。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "这里我采用的是1950年世界上最不发达国家的人口年龄结构数据(仅针对16~64岁劳动年龄人口),其呈现下行趋势,很大部分人群集中在最年轻的群体,与人口转变阶段特征是相吻合的。", "language": "chinese", "position": {"atoms": [{"position_id": 447, "txt": "这里我采用的是1950年世界上最不发达国家的人口年龄结构数据", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[35]"}, {"position_id": 449, "txt": "(仅针对16~64岁劳动年龄人口)", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[35]/span"}, {"position_id": 451, "txt": ",其呈现下行趋势,很大部分人群集中在最年轻的群体,与人口转变阶段特征是相吻合的。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[35]/span"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "在此,我插一个话题。", "language": "chinese", "position": {"atoms": [{"position_id": 453, "txt": "在此,我插一个话题。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "许多人在研究非洲问题或比较不发达国家的情况时,常提到这些国家的人口高度年轻化,并认为它们本应拥有充分的人口红利。", "language": "chinese", "position": {"atoms": [{"position_id": 454, "txt": "许多人在研究非洲问题或比较不发达国家的情况时,常提到这些国家的人口高度年轻化,并认为它们本应拥有充分的人口红利。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "然而,我认为这一观点需要纠正。", "language": "chinese", "position": {"atoms": [{"position_id": 455, "txt": "然而,我认为这一观点需要纠正。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "因为对于人口红利的错误认识,可能会影响我们对中国人口红利未来的开启战略。", "language": "chinese", "position": {"atoms": [{"position_id": 456, "txt": "因为对于人口红利的错误认识,可能会影响我们对中国人口红利未来的开启战略。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "以撒哈拉以南非洲为例,相当多的国家中位年龄仅为16岁,人口非常年轻,我国中位年龄大约为38岁或39岁。", "language": "chinese", "position": {"atoms": [{"position_id": 457, "txt": "以撒哈拉以南非洲为例,相当多的国家中位年龄仅为16岁,人口非常年轻,我国中位年龄大约为38岁或39岁。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "然而,年轻并不意味着就拥有人口红利。", "language": "chinese", "position": {"atoms": [{"position_id": 458, "txt": "然而,", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]"}, {"position_id": 460, "txt": "年轻并不意味着就拥有人口红利。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 21, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "16岁作为中位年龄,意味着这个国家一半的人口尚未达到法定劳动年龄,根本就不是就业群体,人口红利也无从谈起。", "language": "chinese", "position": {"atoms": [{"position_id": 462, "txt": "16岁作为中位年龄,意味着这个国家一半的人口尚未达到法定劳动年龄,根本就不是就业群体,人口红利也无从谈起。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 21, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "这就是图中向下倾斜曲线的内在含义。", "language": "chinese", "position": {"atoms": [{"position_id": 463, "txt": "这就是图中向下倾斜曲线的内在含义。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 21, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "另一方面,高度老龄化的国家即人口转变到后期或后人口红利时期的国家的人口年龄结构,系发达国家在2050年的人口年龄结构,如图中向上倾斜的曲线,所呈现的上扬趋势正是少子化和老龄化问题的体现。", "language": "chinese", "position": {"atoms": [{"position_id": 465, "txt": "另一方面,高度老龄化的国家即人口转变到后期或后人口红利时期的国家的人口年龄结构,系发达国家在2050年的人口年龄结构,如图中向上倾斜的曲线,所呈现的上扬趋势正是少子化和老龄化问题的体现。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "以上两条曲线,分别表现了两种极端的劳动年龄人口结构。", "language": "chinese", "position": {"atoms": [{"position_id": 467, "txt": "以上两条曲线,分别表现了两种极端的劳动年龄人口结构。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "在两种极端情形之间,还存在一个人口转变的中间状态。", "language": "chinese", "position": {"atoms": [{"position_id": 468, "txt": "在两种极端情形之间,还存在一个人口转变的中间状态。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "这个中间状态既尚未完全脱离早期人口转变阶段,也未达到极度老龄化的人口转变阶段,例如中国的现状。", "language": "chinese", "position": {"atoms": [{"position_id": 469, "txt": "这个中间状态既尚未完全脱离早期人口转变阶段,也未达到极度老龄化的人口转变阶段,例如中国的现状。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "此外,中国还具有“未富先老”特征,即在尚未实现富裕时就已经达到较高的老龄化程度。", "language": "chinese", "position": {"atoms": [{"position_id": 470, "txt": "此外,", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]"}, {"position_id": 472, "txt": "中国还具有“未富先老”特征,即在尚未实现富裕时就已经达到较高的老龄化程度。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 23, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "这些特征综合起来,使中国处于这种中间状态。", "language": "chinese", "position": {"atoms": [{"position_id": 474, "txt": "这些特征综合起来,使中国处于这种中间状态。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 23, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "我设想这个中间状态的劳动人口年龄分布呈U字形,即青年就业人群和大龄就业人群的占比都相对较高,而中间年龄的人群则有所减少。", "language": "chinese", "position": {"atoms": [{"position_id": 475, "txt": "我设想这个中间状态的劳动人口年龄分布呈U字形,即青年就业人群和大龄就业人群的占比都相对较高,而中间年龄的人群则有所减少。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 23, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "虽然这个U字形能否得到直接而显著的呈现尚不确定,但从理论上可以推断出,中国处在特定的发展阶段,其人口结构最接近这种U字形。", "language": "chinese", "position": {"atoms": [{"position_id": 477, "txt": "虽然这个U字形能否得到直接而显著的呈现尚不确定,但从理论上可以推断出,中国处在特定的发展阶段,其人口结构最接近这种U字形。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "或许还未完全形成U字形,但比其他任何时期都更接近。", "language": "chinese", "position": {"atoms": [{"position_id": 478, "txt": "或许还未完全形成U字形,但比其他任何时期都更接近。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "因此,我们将U字形作为理论特征,而非肉眼可见的特征,有助于进行分析。", "language": "chinese", "position": {"atoms": [{"position_id": 479, "txt": "因此,我们将U字形作为理论特征,而非肉眼可见的特征,有助于进行分析。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "同时我们也观察到,中国人力资本在具有一般特征之外,还具有一些独特特点,其中也蕴含着中国特色。", "language": "chinese", "position": {"atoms": [{"position_id": 480, "txt": "同时我们也观察到,中国人力资本在具有一般特征之外,还具有一些独特特点,其中也蕴含着中国特色。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "在中国,少年群体及青年就业人群的受教育程度较高,人均受教育年限在24岁时达到峰值。", "language": "chinese", "position": {"atoms": [{"position_id": 482, "txt": "在中国,少年群体及青年就业人群的受教育程度较高,人均受教育年限在24岁时达到峰值。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[45]"}]}, "tags": [], "label": "content", "web_segment_id": 25, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "根据相关研究文献,中国和其他一些发展中国家普遍呈现出类似趋势,即在24岁左右受教育程度达到最高点后,随着年龄的增长,受教育程度逐渐下降,形成一条向下递减的曲线。", "language": "chinese", "position": {"atoms": [{"position_id": 484, "txt": "根据相关研究文献,中国和其他一些发展中国家普遍呈现出类似趋势,即在24岁左右受教育程度达到最高点后,随着年龄的增长,受教育程度逐渐下降,形成一条向下递减的曲线。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "这一现象在发达经济体中并不存在。", "language": "chinese", "position": {"atoms": [{"position_id": 486, "txt": "这一现象在发达经济体中并不存在。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[49]"}]}, "tags": [], "label": "content", "web_segment_id": 27, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "美国、欧洲国家、日本等发达经济体,分年龄段的受教育年限系较为平坦的水平线,24岁与64岁人口的人均受教育年限基本相当。", "language": "chinese", "position": {"atoms": [{"position_id": 487, "txt": "美国、欧洲国家、日本等发达经济体,分年龄段的受教育年限系较为平坦的水平线,24岁与64岁人口的人均受教育年限基本相当。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[49]"}]}, "tags": [], "label": "content", "web_segment_id": 27, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "中国尽管教育发展曾相对滞后,但在改革开放的推动下,实现了快速的赶超,每一代人的受教育程度均超过前一代。", "language": "chinese", "position": {"atoms": [{"position_id": 489, "txt": "中国尽管教育发展曾相对滞后,但在改革开放的推动下,实现了快速的赶超,每一代人的受教育程度均超过前一代。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[51]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "因此,中国人口的受教育年限随着年龄增长而下降的趋势尤为明显。", "language": "chinese", "position": {"atoms": [{"position_id": 490, "txt": "因此,中国人口的受教育年限随着年龄增长而下降的趋势尤为明显。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[51]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "这说明中国的教育在持续地进步,人均受教育年限哪怕每10年把平均值提高1年都意义重大,须知教育的发展是一个长期且艰巨的过程,人口平均受教育年限的每一点提升都凝聚着巨大的努力与投入。", "language": "chinese", "position": {"atoms": [{"position_id": 491, "txt": "这说明中国的教育在持续地进步,人均受教育年限哪怕每10年把平均值提高1年都意义重大,须知教育的发展是一个长期且艰巨的过程,人口平均受教育年限的每一点提升都凝聚着巨大的努力与投入。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[51]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "中国在过去30年间所取得的进步,无疑是十分显著的。", "language": "chinese", "position": {"atoms": [{"position_id": 492, "txt": "中国在过去30年间所取得的进步,无疑是十分显著的。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[51]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "同时,整体受教育年限的提高较快,就会在代际或队列之间产生较大差距,使受教育年限随着年龄增长而下降的趋势表现出来。", "language": "chinese", "position": {"atoms": [{"position_id": 493, "txt": "同时,整体受教育年限的提高较快,就会在代际或队列之间产生较大差距,使受教育年限随着年龄增长而下降的趋势表现出来。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[51]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "人口平均受教育年限作为人力资本的代理指标,是用计量方法观察就业技能及其回报的重要变量,但并非唯一变量。", "language": "chinese", "position": {"atoms": [{"position_id": 495, "txt": "人口平均受教育年限作为人力资本的代理指标,是用计量方法观察就业技能及其回报的重要变量,但并非唯一变量。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[53]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "工作经验同样对人力资本的提升具有重要影响,随着工作经历增长,劳动者解决问题的能力也在提高。", "language": "chinese", "position": {"atoms": [{"position_id": 496, "txt": "工作经验同样对人力资本的提升具有重要影响,随着工作经历增长,劳动者解决问题的能力也在提高。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[53]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "在中国,受教育年限与工作经验之间存在明显的反向关系:", "language": "chinese", "position": {"atoms": [{"position_id": 497, "txt": "在中国,受教育年限与工作经验之间存在明显的反向关系:", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[53]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "青年人群受教育年限较高,但缺乏工作经验;", "language": "chinese", "position": {"atoms": [{"position_id": 498, "txt": "青年人群受教育年限较高,但缺乏工作经验;", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[53]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "而大龄劳动者虽然工作经验丰富,但受教育年限较低。", "language": "chinese", "position": {"atoms": [{"position_id": 499, "txt": "而大龄劳动者虽然工作经验丰富,但受教育年限较低。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[53]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "从这一角度来看,中间年龄段的人群可能在两者之间取得较好的平衡,既具备较高的受教育程度,又拥有一定的工作经验,从而形成更为优越的人力资本。", "language": "chinese", "position": {"atoms": [{"position_id": 501, "txt": "从这一角度来看,中间年龄段的人群可能在两者之间取得较好的平衡,既具备较高的受教育程度,又拥有一定的工作经验,从而形成更为优越的人力资本。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[55]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "基于这一观察,我们提出一个假说:", "language": "chinese", "position": {"atoms": [{"position_id": 502, "txt": "基于这一观察,我们提出一个假说:", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[55]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "劳动力市场的匹配度与年龄具有倒U字形曲线关系,即中间年龄段的人群在市场上的匹配度最佳。", "language": "chinese", "position": {"atoms": [{"position_id": 503, "txt": "劳动力市场的匹配度与年龄具有倒U字形曲线关系,即中间年龄段的人群在市场上的匹配度最佳。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[55]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "我们用2020年第七次人口普查的数据对这一假说进行了验证。", "language": "chinese", "position": {"atoms": [{"position_id": 505, "txt": "我们用2020年第七次人口普查的数据对这一假说进行了验证。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[57]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "结果显示,城镇居民劳动者的就业率分年龄来看,确实呈现出倒U字形曲线—青年群体就业率偏低,中年群体达到最高点,随后下降,到大龄群体就降到比较低的水平。", "language": "chinese", "position": {"atoms": [{"position_id": 506, "txt": "结果显示,城镇居民劳动者的就业率分年龄来看,确实呈现出倒U字形曲线—青年群体就业率偏低,中年群体达到最高点,随后下降,到大龄群体就降到比较低的水平。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[57]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "这一结果充分验证了我们的假说,即劳动力市场的匹配度与年龄呈倒U字形关系。", "language": "chinese", "position": {"atoms": [{"position_id": 507, "txt": "这一结果充分验证了我们的假说,即劳动力市场的匹配度与年龄呈倒U字形关系。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[57]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "此外,我们还注意到,在发达国家,青年就业群体和大龄就业群体同样面临着较大的就业困难。", "language": "chinese", "position": {"atoms": [{"position_id": 509, "txt": "此外,我们还注意到,在发达国家,青年就业群体和大龄就业群体同样面临着较大的就业困难。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[59]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "例如,24岁以下的青年就业群体更容易签订“零时合同”(即雇主不保证提供固定的工作时间,员工只有在被要求工作时才工作,并且雇主只对实际工作的时间支付工资),而60岁以上的人口一旦失业,再就业的难度比其他人群要高1倍。", "language": "chinese", "position": {"atoms": [{"position_id": 510, "txt": "例如,24岁以下的青年就业群体更容易签订“零时合同”", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[59]"}, {"position_id": 512, "txt": "(即雇主不保证提供固定的工作时间,员工只有在被要求工作时才工作,并且雇主只对实际工作的时间支付工资)", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[59]/span"}, {"position_id": 514, "txt": ",而60岁以上的人口一旦失业,再就业的难度比其他人群要高1倍。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[59]/span"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "这些现象都进一步支持了我们的假说,即匹配度的倒U字形曲线在劳动力市场上是成立的。", "language": "chinese", "position": {"atoms": [{"position_id": 515, "txt": "这些现象都进一步支持了我们的假说,即匹配度的倒U字形曲线在劳动力市场上是成立的。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[59]/span"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "因此,U字形的劳动年龄人口分布和倒U字形的劳动力市场匹配度,构成了一对矛盾。", "language": "chinese", "position": {"atoms": [{"position_id": 517, "txt": "因此,U字形的劳动年龄人口分布和倒U字形的劳动力市场匹配度,构成了一对矛盾。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[61]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 33, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "它们在中国当前发展阶段下同时存在,带来了特有的与人口相关的劳动力市场特征和结构性就业矛盾。", "language": "chinese", "position": {"atoms": [{"position_id": 518, "txt": "它们在中国当前发展阶段下同时存在,带来了特有的与人口相关的劳动力市场特征和结构性就业矛盾。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[61]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 33, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "中国目前是否呈最接近U字形的人口分布,我们尝试用最简单的人口变化来进行分析。", "language": "chinese", "position": {"atoms": [{"position_id": 520, "txt": "中国目前是否呈最接近U字形的人口分布,我们尝试用最简单的人口变化来进行分析。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[63]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "1990年时,青少年人群比重最高,到了2005年,当年的年轻人开始在劳动力市场上成为中年人,再到2020年第七次人口普查时,这部分人就到了大龄群体中。", "language": "chinese", "position": {"atoms": [{"position_id": 521, "txt": "1990年时,青少年人群比重最高,到了2005年,当年的年轻人开始在劳动力市场上成为中年人,再到2020年第七次人口普查时,这部分人就到了大龄群体中。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[63]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "非人口学专业的如果需要理解人口趋势和特征,可以采用一种理解人口动态的分析方法,即借用回声的概念。", "language": "chinese", "position": {"atoms": [{"position_id": 523, "txt": "非人口学专业的如果需要理解人口趋势和特征,可以采用一种理解人口动态的分析方法,即借用回声的概念。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "想象一下,当你在群山环绕的山谷中发出声音,声音会在对面的山壁上形成回声,然后反射到你身后的山壁,再次形成回声。", "language": "chinese", "position": {"atoms": [{"position_id": 524, "txt": "想象一下,当你在群山环绕的山谷中发出声音,声音会在对面的山壁上形成回声,然后反射到你身后的山壁,再次形成回声。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "每一次回声都源自你发出的声音,但逐渐减弱。", "language": "chinese", "position": {"atoms": [{"position_id": 525, "txt": "每一次回声都源自你发出的声音,但逐渐减弱。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "你发声时是婴儿潮,第一次回声象征着上学潮,随后是就业潮,再往后则是养老潮。", "language": "chinese", "position": {"atoms": [{"position_id": 526, "txt": "你发声时是婴儿潮,第一次回声象征着上学潮,随后是就业潮,再往后则是养老潮。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "虽然这些回声会逐渐减弱,但它们的发生是必然的。", "language": "chinese", "position": {"atoms": [{"position_id": 527, "txt": "虽然这些回声会逐渐减弱,但它们的发生是必然的。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "因此,到2035年时,中间年龄段人群相对于其他任何时代都是最少的。", "language": "chinese", "position": {"atoms": [{"position_id": 528, "txt": "因此,到2035年时,中间年龄段人群相对于其他任何时代都是最少的。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "这一趋势使得U字形特征成为这个时期的最突出特点,“一老一小”成为最重要的就业矛盾。", "language": "chinese", "position": {"atoms": [{"position_id": 529, "txt": "这一趋势使得U字形特征成为这个时期的最突出特点,", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[65]"}, {"position_id": 531, "txt": "“一老一小”成为最重要的就业矛盾。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[65]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 35, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": "这是我们观察到的现实,也是我们需要深入思考和解决的问题。", "language": "chinese", "position": {"atoms": [{"position_id": 533, "txt": "这是我们观察到的现实,也是我们需要深入思考和解决的问题。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[65]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 35, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "应对之策:", "language": "chinese", "position": {"atoms": [{"position_id": 535, "txt": "应对之策:", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[67]"}]}, "tags": [], "label": "title1", "web_segment_id": 36, "global_sentence_id": 109, "edu_l1_label": "BOS"}, {"txt": "加大力度、加快速度推进人力资本培养和公共就业服务", "language": "chinese", "position": {"atoms": [{"position_id": 536, "txt": "加大力度、加快速度推进人力资本培养和公共就业服务", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[67]"}]}, "tags": [], "label": "title1", "web_segment_id": 36, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "在U字形人口年龄结构与倒U字形人力资源市场匹配产生反差的背景下,如何解决中国的结构性就业矛盾?", "language": "chinese", "position": {"atoms": [{"position_id": 538, "txt": "在U字形人口年龄结构与倒U字形人力资源市场匹配产生反差的背景下,如何解决中国的结构性就业矛盾?", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[69]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "我从人力资本培养和公共就业服务两个方面入手,为解决这一矛盾提供一些政策建议。", "language": "chinese", "position": {"atoms": [{"position_id": 539, "txt": "我从人力资本培养和公共就业服务两个方面入手,为解决这一矛盾提供一些政策建议。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[69]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": "第一,政策工具箱的充实与贯通。", "language": "chinese", "position": {"atoms": [{"position_id": 541, "txt": "第一,政策工具箱的充实与贯通。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[71]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 38, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "我们首先需要转变一个传统观念。", "language": "chinese", "position": {"atoms": [{"position_id": 543, "txt": "我们首先需要转变一个传统观念。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[73]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "过去,宏观经济调控部门在涉及就业时,主要遵循菲利普斯曲线,认为只要通过刺激经济、创造足够的需求使经济回到潜在增长水平,就能消除周期性失业,实现充分就业,从而达到宏观调控的目标。", "language": "chinese", "position": {"atoms": [{"position_id": 544, "txt": "过去,宏观经济调控部门在涉及就业时,主要遵循菲利普斯曲线,认为只要通过刺激经济、创造足够的需求使经济回到潜在增长水平,就能消除周期性失业,实现充分就业,从而达到宏观调控的目标。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[73]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "然而,在经历了疫情等冲击后,即使采取了刺激性政策,经济有所恢复,面临的也可能是更高的自然失业水平。", "language": "chinese", "position": {"atoms": [{"position_id": 545, "txt": "然而,在经历了疫情等冲击后,即使采取了刺激性政策,经济有所恢复,面临的也可能是更高的自然失业水平。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[73]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "这是因为短期冲击叠加人口结构新特征,如老龄化程度加深、劳动年龄人口趋于U字形分布,都可能影响就业市场的恢复。", "language": "chinese", "position": {"atoms": [{"position_id": 546, "txt": "这是因为短期冲击叠加人口结构新特征,如老龄化程度加深、劳动年龄人口趋于U字形分布,都可能影响就业市场的恢复。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[73]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "因此,仅仅依赖原有的宏观经济政策手段是不够的,还需要结合公共就业服务、劳动力市场功能完善,以及相关体制机制改革等其他政策工具。", "language": "chinese", "position": {"atoms": [{"position_id": 547, "txt": "因此,仅仅依赖原有的宏观经济政策手段是不够的,还需要结合公共就业服务、劳动力市场功能完善,以及相关体制机制改革等其他政策工具。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[73]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "这意味着,结构性改革手段与宏观经济的周期性工具应相互结合,长期的工具与短期的工具应协同发挥作用,共同构成一揽子宏观经济政策工具箱。", "language": "chinese", "position": {"atoms": [{"position_id": 549, "txt": "这意味着,结构性改革手段与宏观经济的周期性工具应相互结合,长期的工具与短期的工具应协同发挥作用,共同构成一揽子宏观经济政策工具箱。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[75]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "这就是说,除了关注菲利普斯曲线,运用货币政策和财政政策的标准政策工具应对周期性失业,我们还应关注贝弗里奇曲线,扩充和贯通长期化政策工具以应对结构性矛盾,降低自然失业率。", "language": "chinese", "position": {"atoms": [{"position_id": 551, "txt": "这就是说,除了关注菲利普斯曲线,运用货币政策和财政政策的标准政策工具应对周期性失业,我们还应关注贝弗里奇曲线,扩充和贯通长期化政策工具以应对结构性矛盾,降低自然失业率。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[77]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": "对于疫情后复苏而言,这样可以事半功倍,提高充分就业水平和就业质量。", "language": "chinese", "position": {"atoms": [{"position_id": 552, "txt": "对于疫情后复苏而言,这样可以事半功倍,提高充分就业水平和就业质量。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[77]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "第二,从结构入手释放总量潜力。", "language": "chinese", "position": {"atoms": [{"position_id": 554, "txt": "第二,从结构入手释放总量潜力。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[79]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 42, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "我们都说就业总量问题得到了缓解,可事实上,虽然劳动力总量过多对应着岗位不足的问题得以缓解,但又变成劳动力总量过少以致出现劳动力短缺问题。", "language": "chinese", "position": {"atoms": [{"position_id": 556, "txt": "我们都说就业总量问题得到了缓解,可事实上,虽然劳动力总量过多对应着岗位不足的问题得以缓解,但又变成劳动力总量过少以致出现劳动力短缺问题。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[81]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "无论偏多或偏少,皆非理想状态。", "language": "chinese", "position": {"atoms": [{"position_id": 557, "txt": "无论偏多或偏少,皆非理想状态。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[81]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": 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"许多农民工在过了40岁或更大一些的年龄后,由于不再受就业市场欢迎而选择返乡,这样他们往往只能退回到生产率更低的部门,如务农或在家乡从事服务业,这意味着资源配置的退化和生产率的降低。", "language": "chinese", "position": {"atoms": [{"position_id": 584, "txt": "许多农民工在过了40岁或更大一些的年龄后,由于不再受就业市场欢迎而选择返乡,这样他们往往只能退回到生产率更低的部门,如务农或在家乡从事服务业,这意味着资源配置的退化和生产率的降低。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[89]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 139, "edu_l1_label": "IOS"}, {"txt": "这种劳动力市场的动向,也在一定程度上反映了户籍制度对劳动力市场的影响。", "language": "chinese", "position": {"atoms": [{"position_id": 585, "txt": "这种劳动力市场的动向,也在一定程度上反映了户籍制度对劳动力市场的影响。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[89]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 140, "edu_l1_label": "IOS"}, {"txt": "因此,户籍制度改革不仅关乎人口流动和资源配置的优化,更是开发人力资源、促进社会流动的重要举措。", "language": "chinese", "position": {"atoms": [{"position_id": 587, "txt": "因此,户籍制度改革不仅关乎人口流动和资源配置的优化,更是开发人力资源、促进社会流动的重要举措。", 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https://img.huxiucdn.com/article/content/202503/23/074348920208.png?imageView2/2/w/1000/format/png/interlace/1/q/85", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[111]/img"}]}, "tags": ["img"], "label": "O", "web_segment_id": 58, "global_sentence_id": 181, "edu_l1_label": "EDU_O"}, {"txt": " 《经济新动能》《关键理念》", "language": "chinese", "position": {"atoms": [{"position_id": 642, "txt": " 《经济新动能》《关键理念》", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[112]"}]}, "tags": [], "label": "source", "web_segment_id": 59, "global_sentence_id": 182, "edu_l1_label": "EDU_O"}, {"txt": "2025年2月", "language": "chinese", "position": {"atoms": [{"position_id": 644, "txt": "2025年2月", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[113]"}]}, "tags": [], "label": "publish_time", "web_segment_id": 60, "global_sentence_id": 183, "edu_l1_label": "EDU_O"}, {"txt": "中信出版集团", "language": "chinese", "position": 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# 中国经济的“少子化”与“老龄化”问题 ## 就业优先与人口支持政策目标要一致 ## 中国人口结构的U字形与就业匹配度的倒U字形 ## 应对之策:加大力度、加快速度推进人力资本培养和公共就业服务 ### 第一,政策工具箱的充实与贯通。 ### 第二,从结构入手释放总量潜力。
7d788ec4-cf5c-429c-9d83-880a683e5c5d
web
test/raw_web_htmls/7d788ec4-cf5c-429c-9d83-880a683e5c5d.html
https://blog.quarkslab.com/being-overlord-on-the-steam-deck-with-1-byte.html
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this blog post.", "language": "english", "position": {"atoms": [{"position_id": 1928, "txt": "[*] Actually there is a third one that was not patched in Valve's build, but since it is already known (CVE-2022-35894, CVE-2022-35895, CVE-2021-33627), we won't speak about it in this blog post.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "The Vulnerabilities", "language": "english", "position": {"atoms": [{"position_id": 1930, "txt": "The Vulnerabilities", "x": "/html/body/div[2]/div/div[1]/section/article/div/h3[3]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 34, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "Bug #1 - AmdPspP2CmboxV2.efi (CVE-2024-21925)", "language": "english", "position": {"atoms": [{"position_id": 1932, "txt": "Bug #1 - AmdPspP2CmboxV2.efi (CVE-2024-21925)", "x": 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"/html/body/div[2]/div/div[1]/section/article/div/p[26]/code"}, {"position_id": 2054, "txt": ", in charge of updating the firmware, it is not possible to easily overwrite the SMRAM.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[26]/code"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "The commands 6 and 7 are used to communicate with the Platform Security Processor through a mechanism of mailboxes.", "language": "english", "position": {"atoms": [{"position_id": 2056, "txt": "The commands 6 and 7 are used to communicate with the Platform Security Processor through a mechanism of mailboxes.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": " Here again, the parameters are not sanitized enough:", "language": "english", "position": {"atoms": [{"position_id": 2057, "txt": " Here again, the parameters are not sanitized enough:", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": " by providing an address in SMRAM as a response buffer (arg2), an attacker can overwrite data in SMM with PSP answers.", "language": "english", "position": {"atoms": [{"position_id": 2058, "txt": " by providing an address in SMRAM as a response buffer (", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[27]"}, {"position_id": 2060, "txt": "arg2", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[27]/code"}, {"position_id": 2062, "txt": "), an attacker can overwrite data in SMM with PSP answers.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[27]/code"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "It should be noted that, this handler is removed before entering the Run Time phase, when AmdPspDxeV2Ff3.sys executes its notification routine for the EFI_EVENT_EXIT_BOOT_SERVICES_GUID event.", "language": "english", "position": {"atoms": [{"position_id": 2064, "txt": "It should be noted that, this handler is removed before entering the ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[28]"}, {"position_id": 2066, "txt": "Run Time phase", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[28]/a"}, {"position_id": 2068, "txt": ", when ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[28]/a"}, {"position_id": 2070, "txt": "AmdPspDxeV2Ff3.sys", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[28]/code[1]"}, {"position_id": 2072, "txt": " executes its notification routine for the ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[28]/code[1]"}, {"position_id": 2074, "txt": "EFI_EVENT_EXIT_BOOT_SERVICES_GUID", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[28]/code[2]"}, {"position_id": 2076, "txt": " event.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[28]/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "Therefore, one must have physical access to the device to reach the vulnerability, which can appear rather inconvenient in some contexts.", "language": "english", "position": {"atoms": [{"position_id": 2078, "txt": "Therefore, one must have physical access to the device to reach the vulnerability, which can appear rather inconvenient in some contexts.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": " Still, to experiment with the Steam Deck, this is a neat capability to have.", "language": "english", "position": {"atoms": [{"position_id": 2079, "txt": " Still, to experiment with the Steam Deck, this is a neat capability to have.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "Bug #2:", "language": "english", "position": {"atoms": [{"position_id": 2081, "txt": "Bug #2:", "x": "/html/body/div[2]/div/div[1]/section/article/div/h4[2]"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 53, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": " AmdCpmDisplayFeatureSmm.efi (CVE-2024-0179)", "language": "english", "position": {"atoms": [{"position_id": 2082, "txt": " AmdCpmDisplayFeatureSmm.efi (CVE-2024-0179)", "x": "/html/body/div[2]/div/div[1]/section/article/div/h4[2]"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 53, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "The second vulnerability lies in an SMM module called AmdCpmDisplayFeatureSmm.efi (30AF4110-A58E-4EF7-8C75-B725939B3B9F).", "language": "english", "position": {"atoms": [{"position_id": 2084, "txt": "The second vulnerability lies in an SMM module called ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[30]"}, {"position_id": 2086, "txt": "AmdCpmDisplayFeatureSmm.efi", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[30]/code[1]"}, {"position_id": 2088, "txt": " (", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[30]/code[1]"}, {"position_id": 2090, "txt": "30AF4110-A58E-4EF7-8C75-B725939B3B9F", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[30]/code[2]"}, {"position_id": 2092, "txt": ").", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[30]/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": " As the name suggests, this module seems related to a hardware device:", "language": "english", "position": {"atoms": [{"position_id": 2093, "txt": " As the name suggests, this module seems related to a hardware device:", "x": 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"/html/body/div[2]/div/div[1]/section/article/div/p[30]/a"}, {"position_id": 2099, "txt": " presents the Cache Coherent Interconnect for Accelerators standard, or CCIX, as a technology providing cache-coherent shared memory across hardware components.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[30]/a"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "Two other UEFI modules mainly interact with AmdCpmDisplayFeatureSmm.efi:", "language": "english", "position": {"atoms": [{"position_id": 2101, "txt": "Two other UEFI modules mainly interact with ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[31]"}, {"position_id": 2103, "txt": "AmdCpmDisplayFeatureSmm.efi", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[31]/code[1]"}, {"position_id": 2105, "txt": ":", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[31]/code[1]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": " its DXE counterpart named AmdCpmDisplayFeatureDxe.efi, and another one in SMM called AmdCpmInitSmm.efi.", "language": "english", "position": {"atoms": [{"position_id": 2106, "txt": " its DXE counterpart named ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[31]/code[1]"}, {"position_id": 2108, "txt": "AmdCpmDisplayFeatureDxe.efi", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[31]/code[2]"}, {"position_id": 2110, "txt": ", and another one in SMM called ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[31]/code[2]"}, {"position_id": 2112, "txt": "AmdCpmInitSmm.efi", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[31]/code[3]"}, {"position_id": 2114, "txt": ".", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[31]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": " The three of them appear to be used to initialize and provide information from/to the CPM.", "language": "english", "position": {"atoms": [{"position_id": 2115, "txt": " The three of them appear to be used to initialize and provide information from/to the CPM.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[31]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "AmdCpmDisplayFeatureSmm.efi registers two software SMI (SWSMI):", "language": "english", "position": {"atoms": [{"position_id": 2117, "txt": "AmdCpmDisplayFeatureSmm.efi", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[32]/code"}, {"position_id": 2119, "txt": " registers two software SMI (SWSMI):", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[32]/code"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "a handler with the ID 0xE3 and located at offset 0x3364;", "language": "english", "position": {"atoms": [{"position_id": 2121, "txt": "a handler with the ID 0xE3 and located at offset 0x3364;", "x": "/html/body/div[2]/div/div[1]/section/article/div/ul[2]/li[1]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 57, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "a handler with the ID 0xED and located at offset 0x3488;", "language": "english", "position": {"atoms": [{"position_id": 2123, "txt": "a handler with the ID 0xED and located at offset 0x3488;", "x": "/html/body/div[2]/div/div[1]/section/article/div/ul[2]/li[2]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 58, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "The whole process involved in these handlers is quite complex and won't be described in this post. ", "language": "english", "position": {"atoms": [{"position_id": 2125, "txt": "The whole process involved in these handlers is quite complex and won't be described in this post. ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[33]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "The functions relevant in the context of the vulnerability are at offset 0x2304 (called by the handler 0xED) and 0x280C (called by the handler 0xE3) in the vulnerable module.", "language": "english", "position": {"atoms": [{"position_id": 2127, "txt": "The functions relevant in the context of the vulnerability are at offset 0x2304 (called by the handler 0xED) and 0x280C (called by the handler 0xE3) in the vulnerable module.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "They rely on the information provided by AmdCpmDisplayFeatureDxe.efi and on a data array, dubbed CPMConfigTable in this post, which is accessible through AmdCpmInitSmm.efi interface.", "language": "english", "position": {"atoms": [{"position_id": 2128, "txt": "\nThey rely on the information provided by ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[34]"}, {"position_id": 2130, "txt": "AmdCpmDisplayFeatureDxe.efi", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[34]/code[1]"}, {"position_id": 2132, "txt": " and on a data array, dubbed ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[34]/code[1]"}, {"position_id": 2134, "txt": "CPMConfigTable", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[34]/code[2]"}, {"position_id": 2136, "txt": " in this post, which is accessible through ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[34]/code[2]"}, {"position_id": 2138, "txt": "AmdCpmInitSmm.efi", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[34]/code[3]"}, {"position_id": 2140, "txt": " interface.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[34]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": " These elements are located in DXE and are used to compute offsets and addresses in the memory space of what seems to be the CPM.", "language": "english", "position": {"atoms": [{"position_id": 2141, "txt": " These elements are located in DXE and are used to compute offsets and addresses in the memory space of what seems to be the CPM.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[34]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "As an example, the computation for function 0x2304 can be summarized with the following code:", "language": "english", "position": {"atoms": [{"position_id": 2143, "txt": "As an example, the computation for function 0x2304 can be summarized with the following code:", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "UINT8*CPMConfigTable=(UINT8*)(AmdCpmInitSmmInterface+8);UINT8*AmdCpmDisplayTable=(UINT8*)(AmdCpmDisplayFeatureDxeInterface+0x10);if(*(UINT16*)&CPMConfigTable[0x63]!=0x400||AmdCpmDisplayTable[0x2c]==0){return;}UINT8val_2c=AmdCpmDisplayTable[0x2c];UINT8val_2d=AmdCpmDisplayTable[0x2d];UINT32value=AmdCpmInitSmmInterface.readDwordFromAddress(val_2d,val_2c>>3,val_2c&7,0);AmdCpmInitSmmInterface.writeDwordToAddress(val_2d,val_2c>>3,val_2c&7,0x24,AmdCpmDisplayTable[0x12c])// ...value=value>>0x10;UINT32temp=0;if(value<=0x67C0)temp=0x10;elseif(value<=0x67E0)temp=0x11;// 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"/html/body/div[2]/div/div[1]/section/article/div/p[76]"}, {"position_id": 3926, "txt": "0xFFFFFFFD", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[76]/code"}, {"position_id": 3928, "txt": " bit mask on addresses aligned on a 0x10-byte boundary, it would still be possible to exploit the targeted variable should it be shifted elsewhere in memory.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[76]/code"}]}, "tags": [], "label": "content", "web_segment_id": 130, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": "1-Fixed Byte Write to Arbitrary Write Primitive", "language": "english", "position": {"atoms": [{"position_id": 3930, "txt": "1-Fixed Byte Write to Arbitrary Write Primitive", "x": "/html/body/div[2]/div/div[1]/section/article/div/h3[6]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 131, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "While we leveraged the command responsible for reading the flash in order to gain a read primitive in SMRAM, one can hardly do the same with its write counterpart.", "language": "english", "position": {"atoms": [{"position_id": 3932, "txt": "While we leveraged the command responsible for reading the flash in order to gain a read primitive in SMRAM, one can hardly do the same with its write counterpart.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[77]"}]}, "tags": [], "label": "content", "web_segment_id": 132, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": " Indeed, both read and write mechanisms rely on the same \"backend\" as AmdPspP2CmboxV2.efi (FwBlockServiceSmm.efi).", "language": "english", "position": {"atoms": [{"position_id": 3933, "txt": " Indeed, both read and write mechanisms rely on the same \"backend\" as ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[77]"}, {"position_id": 3935, "txt": "AmdPspP2CmboxV2.efi", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[77]/code[1]"}, {"position_id": 3937, "txt": " (", "x": 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"/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[5]"}, {"position_id": 3960, "txt": "buffer", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[7]"}, {"position_id": 3962, "txt": ",", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[8]"}, {"position_id": 3964, "txt": "UINT64", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[10]"}, {"position_id": 3966, "txt": "length", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[12]"}, {"position_id": 3968, "txt": "){", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[13]"}, {"position_id": 3970, "txt": "EFI_PHYSICAL_ADDRESS", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[15]"}, {"position_id": 3972, "txt": "end_buffer", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[17]"}, {"position_id": 3974, "txt": "=", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[19]"}, {"position_id": 3976, "txt": "buffer", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[21]"}, {"position_id": 3978, "txt": "+", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[23]"}, {"position_id": 3980, "txt": "(", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[25]"}, {"position_id": 3982, "txt": "length", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[26]"}, {"position_id": 3984, "txt": "-", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[28]"}, {"position_id": 3986, "txt": "1", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[30]"}, {"position_id": 3988, "txt": ");", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[31]"}, {"position_id": 3990, "txt": "if", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[33]"}, {"position_id": 3992, "txt": "(", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[34]"}, {"position_id": 3994, "txt": "buffer", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[35]"}, {"position_id": 3996, "txt": "==", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[37]"}, {"position_id": 3998, "txt": "0", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[39]"}, {"position_id": 4000, "txt": "||", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[41]"}, {"position_id": 4002, "txt": "length", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[43]"}, {"position_id": 4004, "txt": "==", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[45]"}, {"position_id": 4006, "txt": "0", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[47]"}, {"position_id": 4008, "txt": "||", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[49]"}, {"position_id": 4010, "txt": "end_buffer", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[52]"}, {"position_id": 4012, "txt": "<", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[54]"}, {"position_id": 4014, "txt": "buffer", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[56]"}, {"position_id": 4016, "txt": "||", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[58]"}, {"position_id": 4018, "txt": "buffer", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[60]"}, {"position_id": 4020, "txt": "<", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[13]/pre/code/span[62]"}, {"position_id": 4022, "txt": "mIhisiCommandBuf", "x": 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and mIhisiCommandBufSize are aligned on a 0x10-byte boundary and the bit mask won't affect them.", "language": "english", "position": {"atoms": [{"position_id": 4052, "txt": "Here, solely relying on the ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[80]"}, {"position_id": 4054, "txt": "AND", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[80]/code[1]"}, {"position_id": 4056, "txt": " capabilities is not possible as both ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[80]/code[1]"}, {"position_id": 4058, "txt": "mIhisiCommandBuf", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[80]/code[2]"}, {"position_id": 4060, "txt": " and ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[80]/code[2]"}, {"position_id": 4062, "txt": "mIhisiCommandBufSize", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[80]/code[3]"}, {"position_id": 4064, "txt": " are aligned on a 0x10-byte boundary and the bit mask won't affect them.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[80]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 136, "global_sentence_id": 211, "edu_l1_label": "IOS"}, {"txt": " Thus the second primitive (1-fixed byte write) must be employed.", "language": "english", "position": {"atoms": [{"position_id": 4065, "txt": " Thus the second primitive (1-fixed byte write) must be employed.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[80]/code[3]"}]}, "tags": [], "label": "content", "web_segment_id": 136, "global_sentence_id": 212, "edu_l1_label": "IOS"}, {"txt": "As we saw previously, this primitive offers the possibility to write 0x83 at any address which has the lowest nibble equal to 4. This is somewhat restrictive but still perfect to get rid of the check in this specific context.", "language": "english", "position": {"atoms": [{"position_id": 4067, "txt": "As we saw previously, this primitive offers the possibility to write ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[81]"}, {"position_id": 4069, "txt": "0x83", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[81]/code"}, {"position_id": 4071, "txt": " at any address which has the lowest nibble equal to 4. This is somewhat restrictive but still perfect to get rid of the check in this specific context.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[81]/code"}]}, "tags": [], "label": "content", "web_segment_id": 137, "global_sentence_id": 213, "edu_l1_label": "IOS"}, {"txt": "mIhisiCommandBufSize being a 64-bit long variable, overwriting its highest bytes enables to extend the shared buffer far enough to overlap it with the SMRAM.", "language": "english", "position": {"atoms": [{"position_id": 4073, "txt": "mIhisiCommandBufSize", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[82]/code"}, {"position_id": 4075, "txt": " being a 64-bit long variable, overwriting its highest bytes enables to extend the shared buffer far enough to overlap it with the SMRAM.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[82]/code"}]}, "tags": [], "label": "content", "web_segment_id": 138, "global_sentence_id": 214, "edu_l1_label": "IOS"}, {"txt": "<img img", "language": "english", "position": {"atoms": [{"position_id": 1478, "txt": "<img img", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[83]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 139, "global_sentence_id": 215, "edu_l1_label": "EDU_O"}, {"txt": "From this point, any address in SMRAM is considered by IsSharedBufferValid within the boundary of the shared memory and thus is valid.", "language": "english", "position": {"atoms": [{"position_id": 4077, "txt": "From this point, any address in SMRAM is considered by ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[84]"}, {"position_id": 4079, "txt": "IsSharedBufferValid", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[84]/code"}, {"position_id": 4081, "txt": " within the boundary of the shared memory and thus is valid.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[84]/code"}]}, "tags": [], "label": "content", "web_segment_id": 140, "global_sentence_id": 216, "edu_l1_label": "IOS"}, {"txt": "Arbitrary Read-Write Primitive to Code Execution", "language": "english", "position": {"atoms": [{"position_id": 4083, "txt": "Arbitrary Read-Write Primitive to Code Execution", "x": "/html/body/div[2]/div/div[1]/section/article/div/h3[7]"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 141, "global_sentence_id": 217, "edu_l1_label": "IOS"}, {"txt": "To achieve code execution in SMM, one could simply create a fake SWSMI handler as it was described in the previous blog post.", "language": "english", "position": {"atoms": [{"position_id": 4085, "txt": "To achieve code execution in SMM, one could simply create a fake SWSMI handler as it was described in the ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[85]"}, {"position_id": 4087, "txt": "previous blog post", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[85]/a"}, {"position_id": 4089, "txt": ".", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[85]/a"}]}, "tags": [], "label": "content", "web_segment_id": 142, "global_sentence_id": 218, "edu_l1_label": "IOS"}, {"txt": "However, in order to entertain our astute reader, we'll try something a tiny bit different.", "language": "english", "position": {"atoms": [{"position_id": 4091, "txt": "However, in order to entertain our astute reader, we'll try something a tiny bit different.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[86]"}]}, "tags": [], "label": "content", "web_segment_id": 143, "global_sentence_id": 219, "edu_l1_label": "IOS"}, {"txt": " Here again, this method will only work if the firmware is based on Insyde's project as we leverage IhisiServicesSmm's interface.", "language": "english", "position": {"atoms": [{"position_id": 4092, "txt": " Here again, this method will only work if the firmware is based on Insyde's project as we leverage ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[86]"}, {"position_id": 4094, "txt": "IhisiServicesSmm", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[86]/code"}, {"position_id": 4096, "txt": "'s interface.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[86]/code"}]}, "tags": [], "label": "content", "web_segment_id": 143, "global_sentence_id": 220, "edu_l1_label": "IOS"}, {"txt": " Since the module was already used to gain previous primitives anyway, we hope our hot-headed reader won't complain too much about the technique not being generic at this point.", "language": "english", "position": {"atoms": [{"position_id": 4097, "txt": " Since the module was already used to gain previous primitives anyway, we hope our hot-headed reader won't complain too much about the technique not being generic at this point.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[86]/code"}]}, "tags": [], "label": "content", "web_segment_id": 143, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "Ihisi commands can be dynamically added and removed via IhisiServicesSmm's interface:", "language": "english", "position": {"atoms": [{"position_id": 4099, "txt": "Ihisi commands can be dynamically added and removed via ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[87]"}, {"position_id": 4101, "txt": "IhisiServicesSmm", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[87]/code"}, {"position_id": 4103, "txt": "'s interface:", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[87]/code"}]}, "tags": [], "label": "content", "web_segment_id": 144, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "structEFI_SMM_IHISI_PROTOCOL{UINT64Size;IHISI_ADD_IHISI_CMDAddIhisCmd;// add new commandIHISI_REMOVE_IHISI_CMDRemoveIhisCmd;// remove commandsIHISI_CALL_CMD_GROUPCallCmdGroup;IHISI_READ_SAVE_STATEReadSaveState;IHISI_WRITE_SAVE_STATEWriteSaveState;IHISI_IS_IN_SMRAMIsInSmRam;IHISI_IS_BUFFER_VALIDIsBufferValid;IHISI_GET_AUTH_STATUSGetAuthStatus;IHISI_GET_CMD_BUFFERGetCmdBuffer;IHISI_UNKNOWNGetUnknownBuffer;IHISI_IS_UNKN_BUF_VALIDIsUnkBufValid;IHISI_CALL_COMMANDCallCommand;}typedefEFI_STATUS(EFIAPI*IHISI_ADD_IHISI_CMD)(UINT32CmdId,IHISI_FUNCTIONFunction,UINT8Priority);typedefEFI_STATUS(EFIAPI*IHISI_REMOVE_IHISI_CMD)(UINT32CmdId,UINT8Priority_min,UINT8Priority_max);", "language": "english", "position": {"atoms": [{"position_id": 4105, "txt": "struct", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[1]"}, {"position_id": 4107, "txt": "EFI_SMM_IHISI_PROTOCOL", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[3]"}, {"position_id": 4109, "txt": "{", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[5]"}, {"position_id": 4111, "txt": "UINT64", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[7]"}, {"position_id": 4113, "txt": "Size", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[9]"}, {"position_id": 4115, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[10]"}, {"position_id": 4117, "txt": "IHISI_ADD_IHISI_CMD", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[12]"}, {"position_id": 4119, "txt": "AddIhisCmd", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[14]"}, {"position_id": 4121, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[15]"}, {"position_id": 4123, "txt": "// add new command", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[17]"}, {"position_id": 4125, "txt": "IHISI_REMOVE_IHISI_CMD", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[19]"}, {"position_id": 4127, "txt": "RemoveIhisCmd", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[21]"}, {"position_id": 4129, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[22]"}, {"position_id": 4131, "txt": "// remove commands", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[24]"}, {"position_id": 4133, "txt": "IHISI_CALL_CMD_GROUP", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[26]"}, {"position_id": 4135, "txt": "CallCmdGroup", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[28]"}, {"position_id": 4137, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[29]"}, {"position_id": 4139, "txt": "IHISI_READ_SAVE_STATE", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[31]"}, {"position_id": 4141, "txt": "ReadSaveState", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[33]"}, {"position_id": 4143, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[34]"}, {"position_id": 4145, "txt": "IHISI_WRITE_SAVE_STATE", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[36]"}, {"position_id": 4147, "txt": "WriteSaveState", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[38]"}, {"position_id": 4149, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[39]"}, {"position_id": 4151, "txt": "IHISI_IS_IN_SMRAM", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[41]"}, {"position_id": 4153, "txt": "IsInSmRam", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[43]"}, {"position_id": 4155, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[44]"}, {"position_id": 4157, "txt": "IHISI_IS_BUFFER_VALID", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[46]"}, {"position_id": 4159, "txt": "IsBufferValid", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[48]"}, {"position_id": 4161, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[49]"}, {"position_id": 4163, "txt": "IHISI_GET_AUTH_STATUS", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[51]"}, {"position_id": 4165, "txt": "GetAuthStatus", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[53]"}, {"position_id": 4167, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[54]"}, {"position_id": 4169, "txt": "IHISI_GET_CMD_BUFFER", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[56]"}, {"position_id": 4171, "txt": "GetCmdBuffer", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[58]"}, {"position_id": 4173, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[59]"}, {"position_id": 4175, "txt": "IHISI_UNKNOWN", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[61]"}, {"position_id": 4177, "txt": "GetUnknownBuffer", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[63]"}, {"position_id": 4179, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[64]"}, {"position_id": 4181, "txt": "IHISI_IS_UNKN_BUF_VALID", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[66]"}, {"position_id": 4183, "txt": "IsUnkBufValid", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[68]"}, {"position_id": 4185, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[69]"}, {"position_id": 4187, "txt": "IHISI_CALL_COMMAND", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[71]"}, {"position_id": 4189, "txt": "CallCommand", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[73]"}, {"position_id": 4191, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[74]"}, {"position_id": 4193, "txt": "}", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[76]"}, {"position_id": 4195, "txt": "typedef", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[77]"}, {"position_id": 4197, "txt": "EFI_STATUS", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[79]"}, {"position_id": 4199, "txt": "(", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[81]"}, {"position_id": 4201, "txt": "EFIAPI", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[82]"}, {"position_id": 4203, "txt": "*", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[84]"}, {"position_id": 4205, "txt": "IHISI_ADD_IHISI_CMD", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[85]"}, {"position_id": 4207, "txt": ")", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[86]"}, {"position_id": 4209, "txt": "(", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[88]"}, {"position_id": 4211, "txt": "UINT32", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[90]"}, {"position_id": 4213, "txt": "CmdId", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[92]"}, {"position_id": 4215, "txt": ",", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[93]"}, {"position_id": 4217, "txt": "IHISI_FUNCTION", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[95]"}, {"position_id": 4219, "txt": "Function", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[97]"}, {"position_id": 4221, "txt": ",", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[98]"}, {"position_id": 4223, "txt": "UINT8", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[100]"}, {"position_id": 4225, "txt": "Priority", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[102]"}, {"position_id": 4227, "txt": ");", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[103]"}, {"position_id": 4229, "txt": "typedef", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[104]"}, {"position_id": 4231, "txt": "EFI_STATUS", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[106]"}, {"position_id": 4233, "txt": "(", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[108]"}, {"position_id": 4235, "txt": "EFIAPI", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[109]"}, {"position_id": 4237, "txt": "*", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[111]"}, {"position_id": 4239, "txt": "IHISI_REMOVE_IHISI_CMD", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[112]"}, {"position_id": 4241, "txt": ")", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[113]"}, {"position_id": 4243, "txt": "(", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[115]"}, {"position_id": 4245, "txt": "UINT32", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[117]"}, {"position_id": 4247, "txt": "CmdId", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[119]"}, {"position_id": 4249, "txt": ",", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[120]"}, {"position_id": 4251, "txt": "UINT8", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[122]"}, {"position_id": 4253, "txt": "Priority_min", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[124]"}, {"position_id": 4255, "txt": ",", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[125]"}, {"position_id": 4257, "txt": "UINT8", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[127]"}, {"position_id": 4259, "txt": "Priority_max", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[129]"}, {"position_id": 4261, "txt": ");", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[14]/pre/code/span[130]"}]}, "tags": [], "label": "code", "web_segment_id": 145, "global_sentence_id": 223, "edu_l1_label": "EDU_O"}, {"txt": "In order to keep track of what was registered, the module holds a double linked list of objects representing each command.", "language": "english", "position": {"atoms": 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{"position_id": 4313, "txt": "UINT64", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[42]"}, {"position_id": 4315, "txt": "Signature", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[44]"}, {"position_id": 4317, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[45]"}, {"position_id": 4319, "txt": "// 'SIHI' ", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[47]"}, {"position_id": 4321, "txt": "LIST_ENTRY", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[49]"}, {"position_id": 4323, "txt": "CmdList", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[51]"}, {"position_id": 4325, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[52]"}, {"position_id": 4327, "txt": "UINT64", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[55]"}, {"position_id": 4329, "txt": "CmdId", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[57]"}, {"position_id": 4331, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[58]"}, {"position_id": 4333, "txt": "LIST_ENTRY", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[61]"}, {"position_id": 4335, "txt": "HandlerList", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[63]"}, {"position_id": 4337, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[64]"}, {"position_id": 4339, "txt": "// IHIS_API_LIST_ENTRY objects list ", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[66]"}, {"position_id": 4341, "txt": "};", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[67]"}, {"position_id": 4343, "txt": "struct", "x": 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"/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[82]"}, {"position_id": 4361, "txt": "UINT64", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[84]"}, {"position_id": 4363, "txt": "Handler", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[86]"}, {"position_id": 4365, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[87]"}, {"position_id": 4367, "txt": "UINT64", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[90]"}, {"position_id": 4369, "txt": "PriorityLevel", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[92]"}, {"position_id": 4371, "txt": ";", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[93]"}, {"position_id": 4373, "txt": "}", "x": "/html/body/div[2]/div/div[1]/section/article/div/div[15]/pre/code/span[94]"}, {"position_id": 4375, "txt": "/*", "x": 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"code", "web_segment_id": 147, "global_sentence_id": 226, "edu_l1_label": "EDU_O"}, {"txt": "Or in a more graphical way:", "language": "english", "position": {"atoms": [{"position_id": 4382, "txt": "Or in a more graphical way:", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[89]"}]}, "tags": [], "label": "content", "web_segment_id": 148, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "<img img", "language": "english", "position": {"atoms": [{"position_id": 1726, "txt": "<img img", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[90]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 149, "global_sentence_id": 228, "edu_l1_label": "EDU_O"}, {"txt": "To gain code execution, one might craft a fake command and add it to the double linked list of aforementioned objects.", "language": "english", "position": {"atoms": [{"position_id": 4384, "txt": "To gain code execution, one might craft a fake command and add it to the double linked list of 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registered commands don't even use half of it.", "language": "english", "position": {"atoms": [{"position_id": 4387, "txt": "The shared memory used by the mechanism is rather big and most of the registered commands don't even use half of it.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[92]"}]}, "tags": [], "label": "content", "web_segment_id": 151, "global_sentence_id": 231, "edu_l1_label": "IOS"}, {"txt": " Therefore, it is possible to use it to put everything needed to execute the first stage in the exploitation process.", "language": "english", "position": {"atoms": [{"position_id": 4388, "txt": " Therefore, it is possible to use it to put everything needed to execute the first stage in the exploitation process.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[92]"}]}, "tags": [], "label": "content", "web_segment_id": 151, "global_sentence_id": 232, "edu_l1_label": "IOS"}, {"txt": "Unfortunately, in UEFI, memory access protection is enforced at the page table 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"label": "content", "web_segment_id": 153, "global_sentence_id": 235, "edu_l1_label": "IOS"}, {"txt": "This can easily be done via a small ropchain.", "language": "english", "position": {"atoms": [{"position_id": 4403, "txt": "This can easily be done via a small ropchain.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[95]"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 236, "edu_l1_label": "IOS"}, {"txt": " While we won't go into the tiny details of its implementation, the gist is the following:", "language": "english", "position": {"atoms": [{"position_id": 4404, "txt": " While we won't go into the tiny details of its implementation, the gist is the following:", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[95]"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": "<img img", "language": "english", "position": {"atoms": [{"position_id": 1735, "txt": "<img img", 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"web_segment_id": 159, "global_sentence_id": 246, "edu_l1_label": "IOS"}, {"txt": "With this, we gained our exploitation primitive.", "language": "english", "position": {"atoms": [{"position_id": 4418, "txt": "With this, we gained our exploitation primitive.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[97]"}]}, "tags": [], "label": "content", "web_segment_id": 160, "global_sentence_id": 247, "edu_l1_label": "IOS"}, {"txt": " Victory!!", "language": "english", "position": {"atoms": [{"position_id": 4419, "txt": " Victory!!", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[97]"}]}, "tags": [], "label": "content", "web_segment_id": 160, "global_sentence_id": 248, "edu_l1_label": "IOS"}, {"txt": "Post-Exploitation", "language": "english", "position": {"atoms": [{"position_id": 4421, "txt": "Post-Exploitation", "x": "/html/body/div[2]/div/div[1]/section/article/div/h2[5]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 161, "global_sentence_id": 249, "edu_l1_label": "BOS"}, {"txt": "Okay, cool story.", "language": "english", "position": {"atoms": [{"position_id": 4423, "txt": "Okay, cool story.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[98]"}]}, "tags": [], "label": "content", "web_segment_id": 162, "global_sentence_id": 250, "edu_l1_label": "IOS"}, {"txt": " But what can we actually do with this new handler?", "language": "english", "position": {"atoms": [{"position_id": 4424, "txt": " But what can we actually do with this new handler?", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[98]"}]}, "tags": [], "label": "content", "web_segment_id": 162, "global_sentence_id": 251, "edu_l1_label": "IOS"}, {"txt": " For now, even though we're overlords on the machine (kind of), the handler is only capable of executing code in SMM, which is cool but a bit too restrictive to consider the target totally wrecked.", "language": "english", "position": {"atoms": [{"position_id": 4425, "txt": " For now, even though we're 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remap.", "language": "english", "position": {"atoms": [{"position_id": 4447, "txt": "Without paraphrasing him, the gist of his technique is to tamper with the page table entry of the first page in SMRAM to make it point to the one to remap.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[102]"}]}, "tags": [], "label": "content", "web_segment_id": 166, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": " This way, reading or writing data in the first page will instead affect the targeted one.", "language": "english", "position": {"atoms": [{"position_id": 4448, "txt": " This way, reading or writing data in the first page will instead affect the targeted one.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[102]"}]}, "tags": [], "label": "content", "web_segment_id": 166, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "<img img", "language": "english", "position": {"atoms": [{"position_id": 1752, "txt": "<img img", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[103]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 167, "global_sentence_id": 260, "edu_l1_label": "EDU_O"}, {"txt": "And voila.", "language": "english", "position": {"atoms": [{"position_id": 4450, "txt": "And voila.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[104]"}]}, "tags": [], "label": "content", "web_segment_id": 168, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": " With a bit of engineering, we can build a useful tool to monitor everything that runs on the machine in a transparent way for the OS (well, except when poping a calc, of course).", "language": "english", "position": {"atoms": [{"position_id": 4451, "txt": " With a bit of engineering, we can build a useful tool to monitor everything that runs on the machine in a transparent way for the OS (well, except when poping a calc, of course).", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[104]"}]}, "tags": [], "label": "content", "web_segment_id": 168, "global_sentence_id": 262, "edu_l1_label": "IOS"}, {"txt": "For the astute reader that is wondering why the demo showcases a Windows OS instead of the regular SteamOS:", "language": "english", "position": {"atoms": [{"position_id": 4453, "txt": "For the astute reader that is wondering why the demo showcases a Windows OS instead of the regular SteamOS:", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[105]"}]}, "tags": [], "label": "content", "web_segment_id": 169, "global_sentence_id": 263, "edu_l1_label": "IOS"}, {"txt": " it's just a question of preferences for the post-exploitation part.", "language": "english", "position": {"atoms": [{"position_id": 4454, "txt": " it's just a question of preferences for the post-exploitation part.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[105]"}]}, "tags": [], "label": "content", "web_segment_id": 169, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "Conclusion", "language": "english", "position": {"atoms": [{"position_id": 4456, "txt": "Conclusion", "x": "/html/body/div[2]/div/div[1]/section/article/div/h2[6]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 170, "global_sentence_id": 265, "edu_l1_label": "BOS"}, {"txt": "In this blog post, we presented two bugs that impact many devices running on AMD:", "language": "english", "position": {"atoms": [{"position_id": 4458, "txt": "In this blog post, we presented two bugs that impact many devices running on AMD:", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[106]"}]}, "tags": [], "label": "content", "web_segment_id": 171, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": " one in AmdCpmDisplayFeatureSmm.efi accessible through the SWSMIs 0xED and 0xE3, and the other in a communication buffer provided to AmdPspP2CmboxV2.efi SMM driver.", "language": "english", "position": {"atoms": [{"position_id": 4459, "txt": " one in ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[106]"}, {"position_id": 4461, "txt": "AmdCpmDisplayFeatureSmm.efi", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[106]/code[1]"}, {"position_id": 4463, "txt": " accessible through the SWSMIs 0xED and 0xE3, and the other in a communication buffer provided to ", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[106]/code[1]"}, {"position_id": 4465, "txt": "AmdPspP2CmboxV2.efi", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[106]/code[2]"}, {"position_id": 4467, "txt": " SMM driver.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[106]/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 171, "global_sentence_id": 267, "edu_l1_label": "IOS"}, {"txt": " Both of them are the result of a lack of validation on the data used by the handlers in their respective processes.", "language": "english", "position": {"atoms": [{"position_id": 4468, "txt": " Both of them are the result of a lack of validation on the data used by the handlers in their respective processes.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[106]/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 171, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "These vulnerabilities can be leveraged to gain code execution in SMM either via the DXE phase or on runtime.", "language": "english", "position": {"atoms": [{"position_id": 4470, "txt": "These vulnerabilities can be leveraged to gain code execution in SMM either via the DXE phase or on runtime.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[107]"}]}, "tags": [], "label": "content", "web_segment_id": 172, "global_sentence_id": 269, "edu_l1_label": "IOS"}, {"txt": " The primitives induced by them are somewhat restrictive, but rather neat to transform, making our target, the Steam Deck, a good playground in another way than the one initially intended by its creators.", "language": "english", "position": {"atoms": [{"position_id": 4471, "txt": " The primitives induced by them are somewhat restrictive, but rather neat to transform, making our target, the Steam Deck, a good playground in another way than the one initially intended by its creators.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[107]"}]}, "tags": [], "label": "content", "web_segment_id": 172, "global_sentence_id": 270, "edu_l1_label": "IOS"}, {"txt": "Acknowledgement", "language": "english", "position": {"atoms": [{"position_id": 4473, "txt": "Acknowledgement", "x": "/html/body/div[2]/div/div[1]/section/article/div/h1"}]}, "tags": ["h1"], "label": "title1", "web_segment_id": 173, "global_sentence_id": 271, "edu_l1_label": "EDU_O"}, {"txt": "Many thanks to the R&D team for approving this silly research without questioning my dubious motivations (and especially to Ivan for handling the disclosure process).", "language": "english", "position": {"atoms": [{"position_id": 4475, "txt": "Many thanks to the R&D team for approving this silly research without questioning my dubious motivations (and especially to Ivan for handling the disclosure process).", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[108]"}]}, "tags": [], "label": "content", "web_segment_id": 174, "global_sentence_id": 272, "edu_l1_label": "EDU_O"}, {"txt": " Also, kudos to Pauline for being a cool and understanding manager.", "language": "english", "position": {"atoms": [{"position_id": 4476, "txt": " Also, kudos to Pauline for being a cool and understanding manager.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[108]"}]}, "tags": [], "label": "content", "web_segment_id": 174, "global_sentence_id": 273, "edu_l1_label": "EDU_O"}, {"txt": " ;)", "language": "english", "position": {"atoms": [{"position_id": 4477, "txt": " ;)", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[108]"}]}, "tags": [], "label": "content", "web_segment_id": 174, "global_sentence_id": 274, "edu_l1_label": "EDU_O"}, {"txt": "Thumbs-up to Thierry for challenging my reasoning and to all the proofreaders that work hard to enhance the quality of this blog.", "language": "english", "position": {"atoms": [{"position_id": 4479, "txt": "Thumbs-up to Thierry for challenging my reasoning and to all the proofreaders that work hard to enhance the quality of this blog.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[109]"}]}, "tags": [], "label": "content", "web_segment_id": 175, "global_sentence_id": 275, "edu_l1_label": "EDU_O"}, {"txt": "And last but not least, many many thanks to Mengsi and Eloïse for the cute phone holder that also fits surprisingly very well the Steam Deck.", "language": "english", "position": {"atoms": [{"position_id": 4481, "txt": "And last but not least, many many thanks to Mengsi and Eloïse for the cute phone holder that also fits surprisingly very well the Steam Deck.", "x": "/html/body/div[2]/div/div[1]/section/article/div/p[110]"}]}, "tags": [], "label": "content", 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" and asked if the vulnerabilities were assigned CVE IDs.", "language": "english", "position": {"atoms": [{"position_id": 4563, "txt": " and asked if the vulnerabilities were assigned CVE IDs.", "x": "/html/body/div[2]/div/div[1]/section/article/div/ul[10]/li[13]/strong"}]}, "tags": ["li", "strong"], "label": "content", "web_segment_id": 191, "global_sentence_id": 330, "edu_l1_label": "EDU_O"}, {"txt": "2025-02-10", "language": "english", "position": {"atoms": [{"position_id": 4565, "txt": "2025-02-10", "x": "/html/body/div[2]/div/div[1]/section/article/div/ul[10]/li[14]/strong"}]}, "tags": ["li", "strong"], "label": "content", "web_segment_id": 192, "global_sentence_id": 331, "edu_l1_label": "EDU_O"}, {"txt": " AMD replied with CVE IDs fo the two vulnerabilities.", "language": "english", "position": {"atoms": [{"position_id": 4567, "txt": " AMD replied with CVE IDs fo the two vulnerabilities.", "x": "/html/body/div[2]/div/div[1]/section/article/div/ul[10]/li[14]/strong"}]}, "tags": 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to learn more about our security audits and explore how we can help you, ", "x": "/html/body/div[2]/div/div[1]/section/article/p"}, {"position_id": 4575, "txt": "get in touch with us", "x": "/html/body/div[2]/div/div[1]/section/article/p/a"}, {"position_id": 4577, "txt": "!", "x": "/html/body/div[2]/div/div[1]/section/article/p/a"}]}, "tags": [], "label": "O", "web_segment_id": 194, "global_sentence_id": 335, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# Being Overlord on the Steam Deck with 1 Byte ## Introduction ### Serious Story ### Context ## Setup ## Technical details ### The Vulnerabilities #### Bug #1 - AmdPspP2CmboxV2.efi (CVE-2024-21925) #### Bug #2: AmdCpmDisplayFeatureSmm.efi (CVE-2024-0179) ### Side Note - Reaching the bug ## Exploitation ### AND Mask to Arbitrary Read Primitive #### What can be controlled? #### What Could Be Tampered? ### 1-Fixed Byte Write to Arbitrary Write Primitive ### Arbitrary Read-Write Primitive to Code Execution ## Post-Exploitation ## Conclusion
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[{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.711, 0.282, 0.772, 0.298]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "(2019), is explored to create a surrogate for predicting fow over curved backward-facing steps (BFS) with different parameterised curves.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.772, 0.282, 0.824, 0.298], [0.176, 0.296, 0.824, 0.311], [0.176, 0.31, 0.378, 0.325]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "Embedding fundamental principles, like the continuity equation, directly into the structure of neural networks can enhance the effcacy of cutting-edge neural operator models by narrowing down the potential solution space for our models Richter-Powell et al.", "language": "english", 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"language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.28, 0.491, 0.824, 0.506], [0.176, 0.505, 0.824, 0.52], [0.176, 0.519, 0.351, 0.534]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "(2012), making it suitable for learning the operator mapping between the shape of the curve and the resulting fow.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.351, 0.519, 0.824, 0.534], [0.176, 0.533, 0.444, 0.548]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "Furthermore, curved surfaces are common in engineering applications, for example in aerodynamic bodies, blades, curved ducts and pipes, cylinders, and diffusers Bentaleb et al.", "language": "english", "position": {"pdf_position": 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and the fow feld evaluated on the output grid.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.176, 0.625, 0.824, 0.64], [0.176, 0.638, 0.718, 0.654]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "The DeepONet was chosen as it works well for learning functions between parameterised inputs and their corresponding outputs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.718, 0.638, 0.824, 0.654], [0.176, 0.652, 0.824, 0.667], [0.176, 0.666, 0.293, 0.681]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "An illustration of the geometry of choice can be found in Appendix A.1(Figure 2).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.293, 0.666, 0.824, 0.681], [0.176, 0.68, 0.194, 0.695]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "The walls illustrated as solid lines were fxed while the curvature of the slope (dotted blue line) was varied.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.194, 0.68, 0.824, 0.695], [0.176, 0.694, 0.25, 0.709]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "The slope was parameterised using non-uniform rational B-spline (NURBS) which are used as mathematical representations of curves and surfaces.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.176, 0.715, 0.824, 0.73], [0.176, 0.729, 0.494, 0.744]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "Using this method, curves can be parameterised using control points, weights, knot vector and degree of polynomial.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.494, 0.729, 0.824, 0.744], [0.176, 0.743, 0.632, 0.758]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "Background information on NURBS can be found in Piegl & Tiller (1996).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.632, 0.743, 0.824, 0.758], [0.176, 0.757, 0.494, 0.772]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "For the current study, the backward-facing curve is defned by a third degree (cubic) NURBS function with four control points, equal weights and a constant knot vector.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.494, 0.757, 0.824, 0.772], [0.176, 0.77, 0.824, 0.786], [0.176, 0.784, 0.326, 0.799]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "The two control points at each end of the slope, marked as orange dots in Figure 1, are fxed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.326, 0.784, 0.824, 0.799], [0.176, 0.798, 0.301, 0.813]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "The other two control points, marked as green dots in Figure 1, are fxed along their respective y-axes and their x-coordinates are varied evenly between -0.25 and 1.25 to generate 50 different slope shapes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.301, 0.798, 0.824, 0.813], [0.176, 0.812, 0.824, 0.827], [0.176, 0.826, 0.345, 0.841]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "The x-coordinate of each control point is fed as one of the inputs to the network.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.345, 0.826, 0.824, 0.841], [0.176, 0.84, 0.234, 0.855]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "As the y-coordinate is unchanged, there is no need to have this as an input.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.234, 0.84, 0.725, 0.855]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "2.1DATA GENERATION", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.177, 0.87, 0.348, 0.885]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 8, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "FreeFEM++ Hecht et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.176, 0.896, 0.343, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "(2004) was used to generate training data for fow over the curved BFS.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.343, 0.896, 0.824, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "FreeFEM++ uses the fnite element method to solve the incompressible Navier-Stokes equations", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.176, 0.91, 0.824, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.494, 0.95, 0.507, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 106, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.176, 0.034, 0.693, 0.047]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 107, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.403, 0.122, 0.583, 0.184]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 8, "global_sentence_id": 108, "edu_l1_label": "EDU_O"}, {"txt": "Figure 1: Control points for parameterisation of the BFS slope.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.293, 0.213, 0.707, 0.23]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 6, "global_sentence_id": 109, "edu_l1_label": "EDU_O"}, {"txt": "(Eq 1, 2) over the domain, by discretizing it into fnite elements. For solution control, the incompressible fow solver combined a number of numerical techniques, such as an implicit scheme for time-stepping, fnite element spatial discretization, and iterative solvers for managing the resulting linear systems. To ensure accurate representation of physical phenomena, stabilization techniques such as the SUPG (Streamline Upwind/Petrov-Galerkin) method Brooks & Hughes (1982), which is particularly benefcial for handling convection-dominated fows, was employed. The simulations were run for 2D unstructured meshes, each comprising approximately 50000 elements, across 50 distinct geometries. Uniform boundary conditions were applied to all simulations. The fow was modeled as incompressible, with a fxed Reynolds number of 1000.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.173, 0.253, 0.829, 0.38]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 7, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "2.2NETWORK ARCHITECTURE", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.177, 0.394, 0.401, 0.408]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "The baseline DeepONet, as proposed by Lu et al.Lu et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.176, 0.42, 0.573, 0.435]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": "(2019) consists of two sub-networks: a branch network and a trunk network as illustrated in Figure 3 in Appendix A.1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.573, 0.42, 0.824, 0.435], [0.176, 0.433, 0.711, 0.449]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "The input to the branch network consists of the x-coordinates of the control point pair for each geometry confguration.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.711, 0.433, 0.824, 0.449], [0.176, 0.447, 0.824, 0.462], [0.176, 0.461, 0.206, 0.476]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "Hence, the size of the input to the branch net is the number of geometries x 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.206, 0.461, 0.728, 0.476]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "The trunk net takes as input the output sensors: the spatial coordinates of the output mesh.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.728, 0.461, 0.824, 0.476], [0.176, 0.475, 0.669, 0.49]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "The size of the input to the trunk net is therefore the number of sensors x dimensions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.669, 0.475, 0.824, 0.49], [0.176, 0.489, 0.583, 0.504]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "Three separate DeepONet networks with the same architecture were trained to predict the horizontal velocity (U), vertical velocity (V) and pressure(P) felds.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.583, 0.489, 0.824, 0.504], [0.176, 0.503, 0.824, 0.518], [0.176, 0.516, 0.323, 0.532]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "For the PC-DeepONet, this architecture was extended by incorporating the approach proposed by Richter et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.323, 0.516, 0.824, 0.532], [0.176, 0.53, 0.404, 0.545]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "Richter-Powell et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.404, 0.53, 0.539, 0.545]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": "(2022) to make the velocity feld divergence free .", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.539, 0.53, 0.824, 0.545], [0.176, 0.544, 0.21, 0.559]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "The output of an individual DeepONet can be expressed as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.176, 0.566, 0.617, 0.581]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "GCα(x,y) = 2", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.313, 0.608, 0.409, 0.631]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 15, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "Nα", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.401, 0.598, 0.424, 0.615]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 16, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "三=1", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.4, 0.627, 0.424, 0.641]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 13, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": "江4(69;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.398, 0.61, 0.685, 0.63]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": "θα)Φ1(x,y;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.398, 0.61, 0.685, 0.63]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "θΦ)Vq∈{p,u,u}.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.398, 0.61, 0.685, 0.63]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "(3)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.805, 0.611, 0.824, 0.626]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "Where ϕ a collection of basis functions that map functions from spatial coordinates to output func-tions, and α are a collection of coeffcients that learn mappings from the parametrized slope controlpoints to the output functions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.176, 0.648, 0.824, 0.663], [0.176, 0.662, 0.824, 0.677], [0.176, 0.676, 0.372, 0.691]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "Considering the two individual DeepONet output b(x, y) as a vector feld with components bu(x, y) and bv(x, y) corresponding to the velocities u and v, we have:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.372, 0.676, 0.824, 0.691], [0.176, 0.69, 0.786, 0.705]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "b ( x , y ) = \\left[ \\begin{matrix} { b _ { u } ( x , y ) } \\\\ { b _ { v } ( x , y ) } \\\\ \\end{matrix} \\right] = \\left[ \\begin{matrix} { G ^ { \\xi _ { u } } ( x , y ) } \\\\ { G ^ { \\xi _ { u } } ( x , y ) } \\\\ \\end{matrix} \\right] = \\left[ \\begin{matrix} { \\sum _ { i = 1 } ^ { N _ { \\alpha } } \\alpha _ { i } ^ { u } ( \\xi _ { g } ; \\theta _ { \\alpha } ) \\phi _ { i } ^ { u } ( x , y ; \\theta _ { \\phi } ) } \\\\ { \\sum _ { i = 1 } ^ { N _ { \\alpha } } \\alpha _ { i } ^ { v } ( \\xi _ { g } ; \\theta _ { \\alpha } ) \\phi _ { i } ^ { v } ( x , y ; \\theta _ { \\phi } ) } \\\\ \\end{matrix} \\right] .", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.25, 0.718, 0.747, 0.757]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 18, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "(4)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.805, 0.732, 0.824, 0.747]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "With this vector feld, a skew-symmetric matrix A is constructed from the Jacobian of b and its transpose:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.176, 0.766, 0.824, 0.781], [0.176, 0.78, 0.242, 0.795]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": "A = J _ { b } - J _ { b } ^ { \\top } = \\left[ \\begin{matrix} { 0 } & { \\frac { \\partial b _ { u } } { \\partial y } - \\frac { \\partial b _ { v } } { \\partial x } } \\\\ { \\frac { \\partial b _ { v } } { \\partial x } - \\frac { \\partial b _ { u } } { \\partial y } } & { 0 } \\\\ \\end{matrix} \\right] ,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.345, 0.809, 0.648, 0.853]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 17, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": "(5)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.805, 0.824, 0.824, 0.84]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 11, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "where Jb is the Jacobian matrix of b with regards to the trunk input.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.176, 0.861, 0.644, 0.876]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "The fnal divergence-free velocity feld v is represented by this divergence:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.644, 0.861, 0.824, 0.876], [0.176, 0.875, 0.495, 0.89]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "v = div(A).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.457, 0.912, 0.54, 0.925]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 12, "global_sentence_id": 139, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.805, 0.913, 0.826, 0.924]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 140, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.494, 0.949, 0.507, 0.961]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 141, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.176, 0.033, 0.694, 0.047]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 142, "edu_l1_label": "EDU_O"}, {"txt": "By construction, the divergence of A is zero due to the properties of the skew-symmetric matrix, ensuring that the predicted velocity feld is divergence-free, which aligns with the continuity condition.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.176, 0.104, 0.824, 0.119], [0.176, 0.118, 0.824, 0.133], [0.176, 0.132, 0.206, 0.147]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "2.3TRAINING AND TESTING", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.177, 0.168, 0.385, 0.182]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "Our model’s implementation and optimization were conducted using the PyTorch framework.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.176, 0.195, 0.779, 0.21]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "Train-ing was executed on a dataset comprising 50 distinct geometries.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.779, 0.195, 0.824, 0.21], [0.176, 0.209, 0.598, 0.224]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "For each geometry, we performed a mesh mapping to a target geometry to obtain a unique mesh using bi-cubic interpolation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.598, 0.209, 0.824, 0.224], [0.176, 0.223, 0.782, 0.238]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "1000 output sensors were then randomly positioned across the mesh in points away from the slope to train the model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.782, 0.223, 0.824, 0.238], [0.176, 0.237, 0.824, 0.252], [0.176, 0.25, 0.246, 0.266]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 148, "edu_l1_label": "IOS"}, {"txt": "Since the mapping is done from function to function rather than from vector to vector, the model does not have to be trained on all the points in the domain and can learn the representation more effciently with fewer sampled points.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.246, 0.25, 0.824, 0.266], [0.176, 0.264, 0.824, 0.279], [0.176, 0.278, 0.458, 0.293]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": "The DeepONet was then able to extrapolate for individual geometries, even in unseen domains.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.458, 0.278, 0.824, 0.293], [0.176, 0.292, 0.441, 0.307]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "We illustrate this resolution-free capability of DeepONets by infering on a mesh with 50000 points, as shown in Figures 4 and 5in Appendix A.1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.441, 0.292, 0.824, 0.307], [0.176, 0.306, 0.751, 0.321]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "The optimization of the network parameters was performed using the Limited-memory BroydenFletcher-Goldfarb-Shanno (L-BFGS) algorithm. This particular optimizer was chosen to address vanishing gradient issues that arise when training DeepONets with hyperbolic tangents (tanh). Only 50 iterations were needed to achieve convergence for both architectures. The hyperparameters used for both DeepONet models are displayed in Table 1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.173, 0.327, 0.827, 0.398]]}]}, "tags": ["table_caption"], "label": "content", "web_segment_id": 10, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.322, 0.41, 0.675, 0.504]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 7, "global_sentence_id": 153, "edu_l1_label": "EDU_O"}, {"txt": "Table 1: Hyperparameters of the Optimized DeepONet", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.32, 0.511, 0.681, 0.527]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 9, "global_sentence_id": 154, "edu_l1_label": "EDU_O"}, {"txt": "To evaluate the model’s performance, we used the Mean Squared Error (MSE) loss function andassessed the relative L2 error between the predicted and actual sensor data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.175, 0.544, 0.826, 0.574]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 11, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "3RESULTS AND DISCUSSION", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.177, 0.595, 0.433, 0.613]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 5, "global_sentence_id": 156, "edu_l1_label": "BOS"}, {"txt": "We report the performance of the vanilla DeepONet and the PC-DeepONet models in Table 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.176, 0.63, 0.792, 0.645]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "The PC-DeepONet, shows superior performance in both training and validation phases.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.792, 0.63, 0.824, 0.645], [0.176, 0.644, 0.716, 0.659]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "Both models were tested on unseen domains and geometries.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.176, 0.665, 0.577, 0.68]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "The outputs from the trained models on a case from the validation set are displayed in Figure 4 and 5 in Appendix A.1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.577, 0.665, 0.824, 0.68], [0.176, 0.679, 0.718, 0.694]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "Table 2: Performance comparison of DeepONet and PC-DeepONet.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.278, 0.722, 0.723, 0.735]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 8, "global_sentence_id": 161, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.225, 0.735, 0.769, 0.783]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 162, "edu_l1_label": "EDU_O"}, {"txt": "Both architectures achieved convergence within a limited number of iterations. The PC-DeepONet, with its enforced continuity condition, demonstrates superior accuracy with sparse data. We note that these results were obtained under conditions of smooth, laminar fow. We anticipate that for turbulent fows, the advantage of the PC-DeepONet will become more pronounced. Despite the resolution free-nature of neural operators, analysis of the Figures 4 and 5 reveals that errors cluster near boundary layers, likely due to under-sampling in the regions close to the slope, where points cannot be sampled in a common mesh. Future investigations will explore masking approaches to incorporate this information in the training and incorporating hard boundary conditions in the architecture.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.173, 0.8, 0.827, 0.925]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 12, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.496, 0.95, 0.506, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 164, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.176, 0.033, 0.693, 0.047]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 165, "edu_l1_label": "EDU_O"}, {"txt": "4CONCLUSION AND FUTURE WORK", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.177, 0.102, 0.494, 0.119]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 12, "global_sentence_id": 166, "edu_l1_label": "BOS"}, {"txt": "In this study, we introduce PC-DeepONets, an architecture that incorporates knowledge of the physics of fuid fow into the DeepONet to improve on data-driven learning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.176, 0.134, 0.824, 0.149], [0.176, 0.148, 0.697, 0.163]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": "By enforcing the divergence constraint imposed by the continuity equation in the DeepONet framework, we observe signifcant improvements in accuracy for surrogate modeling with sparse data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.697, 0.148, 0.824, 0.163], [0.176, 0.162, 0.824, 0.177], [0.176, 0.176, 0.678, 0.191]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "Using PC-DeepONet, we successfully learned operational mappings between parameterized geometric confgurations and fow feld variables (U, V, and P).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.678, 0.176, 0.824, 0.191], [0.176, 0.19, 0.824, 0.205], [0.176, 0.203, 0.394, 0.219]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "Moving forward, integrating additional impositions by constraining boundaries and integrating additional information from the physics could potentially improve the performance of PC-DeepONets in capturing complex fow phenomena like turbulence for higher Reynolds numbers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.176, 0.225, 0.824, 0.24], [0.176, 0.239, 0.824, 0.254], [0.176, 0.252, 0.727, 0.268]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "Moreover, we aim to explore effcient methods for implementing derivatives such as the method proposed in Jnini & Vella (2024).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.727, 0.252, 0.824, 0.268], [0.176, 0.266, 0.824, 0.281], [0.176, 0.28, 0.278, 0.295]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "ACKNOWLEDGEMENTS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.177, 0.314, 0.368, 0.332]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 14, "global_sentence_id": 172, "edu_l1_label": "EDU_O"}, {"txt": "We would like to thank the organisers of the 2023 Physics-Informed Neural Networks and Applications PhD Summer School at KTH for making this collaboration possible.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.176, 0.347, 0.824, 0.362], [0.176, 0.36, 0.718, 0.376]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 173, "edu_l1_label": "EDU_O"}, {"txt": "We would also like to thank Dr Khemraj Shukla (Assistant Professor of Applied Mathematics (Research), Brown University) for his advice and support during this project.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.718, 0.36, 0.824, 0.376], [0.176, 0.374, 0.824, 0.389], [0.176, 0.388, 0.551, 0.403]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 174, "edu_l1_label": "EDU_O"}, {"txt": "AJ would like to acknowledge Leonardo S.p.A. (Italy).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.176, 0.423, 0.535, 0.439]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 175, "edu_l1_label": "EDU_O"}, {"txt": "HG would like to acknowledge the ART-AI CDT (Bath, UK), funded by the UKRI.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.535, 0.423, 0.824, 0.439], [0.176, 0.437, 0.432, 0.452]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 176, "edu_l1_label": "EDU_O"}, {"txt": "SD would like to acknowledge NSERC (Canada).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.432, 0.437, 0.76, 0.452]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 177, "edu_l1_label": "EDU_O"}, {"txt": "REFERENCES", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.177, 0.471, 0.286, 0.489]]}]}, "tags": ["title"], "label": "reference", "web_segment_id": 15, "global_sentence_id": 178, "edu_l1_label": "EDU_O"}, {"txt": "Bassem F Armaly, F Durst, JCF Pereira, and B Scho¨nung.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.176, 0.496, 0.547, 0.511]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 8, "global_sentence_id": 179, "edu_l1_label": "EDU_O"}, {"txt": "Experimental and theoretical investigationof backward-facing step fow.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.547, 0.496, 0.824, 0.511], [0.193, 0.51, 0.385, 0.525]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 8, "global_sentence_id": 180, "edu_l1_label": "EDU_O"}, {"txt": "Journal of fuid Mechanics, 127:473–496, 1983.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.385, 0.51, 0.704, 0.525]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 8, "global_sentence_id": 181, "edu_l1_label": "EDU_O"}, {"txt": "Amirhossein Arzani, Jian-Xun Wang, and Roshan M. D’Souza.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.176, 0.534, 0.597, 0.549]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 182, "edu_l1_label": "EDU_O"}, {"txt": "Uncovering near-wall blood fowfrom sparse data with physics-informed neural networks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.597, 0.534, 0.824, 0.549], [0.193, 0.548, 0.572, 0.563]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, "global_sentence_id": 183, "edu_l1_label": "EDU_O"}, {"txt": "Physics of Fluids, 33(7):071905, Jul 2021.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.572, 0.548, 0.824, 0.563], [0.193, 0.562, 0.229, 0.577]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 7, 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# PHYSICS-CONSTRAINED DEEPONET FOR SURROGATE CFD MODELS:A CURVED BACKWARD-FACING STEP CASE ## ABSTRACT ## 1INTRODUCTION ## 2METHOD ### 2.1DATA GENERATION ### 2.2NETWORK ARCHITECTURE ### 2.3TRAINING AND TESTING ## 3RESULTS AND DISCUSSION ## 4CONCLUSION AND FUTURE WORK
f276085d-745a-44d2-a54b-27029847b5dc
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"/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/section/h2"}]}, "tags": ["h2"], "label": "abstract", "web_segment_id": 8, "global_sentence_id": 10, "edu_l1_label": "BOS"}, {"txt": "The recent advancements in magnetoelectric (ME) materials have enabled the development of functional magnetoelectric composites for sensor applications in the medical and engineering sectors, as well as in energy harvesting and material exploration.", "language": "english", "position": {"atoms": [{"position_id": 2553, "txt": "The recent advancements in magnetoelectric (ME) materials have enabled the development of functional magnetoelectric composites for sensor applications in the medical and engineering sectors, as well as in energy harvesting and material exploration.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/section/div"}]}, "tags": [], "label": "abstract", "web_segment_id": 9, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": " Magnetoelectric composites rely on the interaction between piezoelectric and magnetoelastic materials by coupling the magnetization-induced strain to the strain-generated potential of the piezoelectric phase.", "language": "english", "position": {"atoms": [{"position_id": 2554, "txt": " Magnetoelectric composites rely on the interaction between piezoelectric and magnetoelastic materials by coupling the magnetization-induced strain to the strain-generated potential of the piezoelectric phase.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/section/div"}]}, "tags": [], "label": "abstract", "web_segment_id": 9, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": " This creates an increased interest around the development of novel piezoelectric materials that not only possess favorable piezoelectric properties but also fulfill specific material criteria such as biocompatibility, bioactivity, ease of fabrication and low cost.", "language": "english", "position": {"atoms": [{"position_id": 2555, "txt": " This creates an increased interest around the development of novel piezoelectric materials that not only possess favorable piezoelectric properties but also fulfill specific material criteria such as biocompatibility, bioactivity, ease of fabrication and low cost.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/section/div"}]}, "tags": [], "label": "abstract", "web_segment_id": 9, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": " ZnO, and its nanostructures, is one such material that has been employed in the magnetoelectric research due to its remarkable piezoelectric, semiconducting and optical properties.", "language": "english", "position": {"atoms": [{"position_id": 2556, "txt": " ZnO, and its nanostructures, is one such material that has been employed in the magnetoelectric research due to its remarkable piezoelectric, semiconducting and optical properties.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/section/div"}]}, "tags": [], "label": "abstract", "web_segment_id": 9, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": " Thus, this article provides a comprehensive review of the available literature on magnetoelectric composites based on ZnO micro- and nanostructures, aiming to present a concise reference on the methods, applications and future prospects of ZnO-based ME composites.", "language": "english", "position": {"atoms": [{"position_id": 2557, "txt": " Thus, this article provides a comprehensive review of the available literature on magnetoelectric composites based on ZnO micro- and nanostructures, aiming to present a concise reference on the methods, applications and future prospects of ZnO-based ME composites.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/section/div"}]}, "tags": [], "label": "abstract", "web_segment_id": 9, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": " Specifically, a brief introduction is provided, presenting the current research interests around magnetoelectric composites, followed by a concise mention of the magnetoelectric effect and its key aspects.", "language": "english", "position": {"atoms": [{"position_id": 2558, "txt": " Specifically, a brief introduction is provided, presenting the current research interests around magnetoelectric composites, followed by a concise mention of the magnetoelectric effect and its key aspects.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/section/div"}]}, "tags": [], "label": "abstract", "web_segment_id": 9, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": " This is followed by separate sections describing the relevant research on ZnO magnetoelectric composites based on ZnO thin-films, either pure or doped, and nano- and microrods composites, as well as nano composites comprised of ZnO nanoparticles mixed with ferromagnetic nanoparticles.", "language": "english", "position": {"atoms": [{"position_id": 2559, "txt": " This is followed by separate sections describing the relevant research on ZnO magnetoelectric composites based on ZnO thin-films, either pure or doped, and nano- and microrods composites, as well as nano composites comprised of ZnO nanoparticles mixed with ferromagnetic nanoparticles.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/section/div"}]}, "tags": [], "label": "abstract", "web_segment_id": 9, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": " Finally, the future prospects and the extension of ME ZnO research into nanowire and nanorod composites are discussed.", "language": "english", 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"/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/div/div[1]/a[1]"}, {"position_id": 2566, "txt": "; ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/div/div[1]/a[1]"}, {"position_id": 2568, "txt": "ZnO magnetoelectric composites", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/div/div[1]/a[2]"}, {"position_id": 2570, "txt": "; ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/div/div[1]/a[2]"}, {"position_id": 2572, "txt": "ZnO/magnetostrictive thin films", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/div/div[1]/a[3]"}, {"position_id": 2574, "txt": "; ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/div/div[1]/a[3]"}, {"position_id": 2576, "txt": "ZnO magnetoelectric nanostructures", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[11]/section/div/div/div/div[1]/a[4]"}]}, "tags": [], "label": "abstract", "web_segment_id": 11, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "1. Introduction", "language": "english", "position": {"atoms": [{"position_id": 2578, "txt": "1. Introduction", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 12, "global_sentence_id": 21, "edu_l1_label": "BOS"}, {"txt": "Magnetoelectricity, the coupling between electric polarization and magnetization, has been gaining increased scientific interest over the last few years since its first discovery in single-phase antiferromagnetic Cr2O3 at a low temperature [1].", "language": "english", "position": {"atoms": [{"position_id": 2580, "txt": "Magnetoelectricity, the coupling between electric polarization and magnetization, has been gaining increased scientific interest over the last few years since its first discovery in single-phase antiferromagnetic Cr", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[1]"}, {"position_id": 2582, "txt": "2", "x": 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"content", "web_segment_id": 14, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": " Due to the coupling between ferromagnetic and piezoelectric domains, magnetostrictive materials and magnetoelectric composites were also employed in energy harvesting applications by exploiting both the direct and inverse magnetoelectric effect.", "language": "english", "position": {"atoms": [{"position_id": 2663, "txt": " Due to the coupling between ferromagnetic and piezoelectric domains, magnetostrictive materials and magnetoelectric composites were also employed in energy harvesting applications by exploiting both the direct and inverse magnetoelectric effect.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": " Capturing the ambient energy available in the environment presents a viable method for powering the widespread adoption of the Internet of Things (IoT) in a decentralized and grid-independent way.", "language": "english", "position": {"atoms": [{"position_id": 2664, "txt": " Capturing the ambient energy available in the environment presents a viable method for powering the widespread adoption of the Internet of Things (IoT) in a decentralized and grid-independent way.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": " Advancements in piezoelectric, magnetostrictive and magnetoelectric materials for energy harvesting emphasize the increased research interest in this area, which is highlighted in a recent review article [17], presenting the material, fabrication characterization and modelling achievements in the field.", "language": "english", "position": {"atoms": [{"position_id": 2665, "txt": " 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[], "label": "content", "web_segment_id": 14, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": " Currently, piezoelectric materials, including lead zirconate titanate (PZT), AlN, polyvinylidene fluoride (PVDF), AlScN, LiNbO3, etc., combined with FeGa, FeCoBSi, FeCo, Metglas (commercial alloys containing Fe, Co, Ni, B, Si) and Terfenol D (TbxDy1-xFe2) magnetostrictive materials, amongst others, have found widespread application in magnetoelectric composites and were studied extensively.", "language": "english", "position": {"atoms": [{"position_id": 2671, "txt": " Currently, piezoelectric materials, including lead zirconate titanate (PZT), AlN, polyvinylidene fluoride (PVDF), AlScN, LiNbO", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/a[3]"}, {"position_id": 2673, "txt": "3", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/sub[1]"}, {"position_id": 2675, "txt": ", etc., combined with FeGa, FeCoBSi, FeCo, Metglas (commercial alloys containing Fe, Co, Ni, B, Si) and Terfenol D (Tb", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/sub[1]"}, {"position_id": 2677, "txt": "x", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/sub[2]"}, {"position_id": 2679, "txt": "Dy", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/sub[2]"}, {"position_id": 2681, "txt": "1-x", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/sub[3]"}, {"position_id": 2683, "txt": "Fe", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/sub[3]"}, {"position_id": 2685, "txt": "2", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/sub[4]"}, {"position_id": 2687, "txt": ") magnetostrictive materials, amongst others, have found widespread application in magnetoelectric composites and were studied extensively.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[2]/sub[4]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "ZnO was also utilized as a piezoelectric phase in magnetoelectric composites not only due to its piezoelectric properties but also due to its inherent ferroelectric properties [18] and the plethora of micro- and nanostructures that it can be built into.", "language": "english", "position": {"atoms": [{"position_id": 2689, "txt": "ZnO was also utilized as a piezoelectric phase in magnetoelectric composites not only due to its piezoelectric properties but also due to its inherent ferroelectric properties [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[3]"}, {"position_id": 2691, "txt": "18", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[3]/a[1]"}, {"position_id": 2693, "txt": "] and the plethora of micro- and nanostructures that it can be built into.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[3]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": " Additionally, ZnO is a bio-compatible [19] and cost-effective material that can become a promising candidate for magnetoelectric devices for biomedical applications.", "language": "english", "position": {"atoms": [{"position_id": 2694, "txt": " Additionally, ZnO is a bio-compatible [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[3]/a[1]"}, {"position_id": 2696, "txt": "19", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[3]/a[2]"}, {"position_id": 2698, "txt": "] and cost-effective material that can become a promising candidate for magnetoelectric devices for biomedical applications.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[3]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": " Thus, this article presents a comprehensive review on magnetoelectric composites based on ZnO micro- and nanostructures, starting with a brief introduction of the magnetoelectric effect and its major concepts.", "language": "english", "position": {"atoms": [{"position_id": 2699, "txt": " Thus, this article presents a comprehensive review on magnetoelectric composites based on ZnO micro- and nanostructures, starting with a brief introduction of the magnetoelectric effect and its major concepts.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[3]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": " The next sections elaborate upon the different categories of magnetoelectric composites based on ZnO, including thin-film structures, either pure or doped with metallic or ferromagnetic elements, or nano- and microrods based on magnetostrictive materials and nano composites comprised of ZnO nanoparticles (NPs) doped or mixed with ferromagnetic nanoparticles.", "language": "english", "position": {"atoms": [{"position_id": 2700, "txt": " The next sections elaborate upon the different categories of magnetoelectric composites based on ZnO, including thin-film structures, either pure or doped with metallic or ferromagnetic elements, or nano- and microrods based on magnetostrictive materials and nano composites comprised of ZnO nanoparticles (NPs) doped or mixed with ferromagnetic nanoparticles.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[3]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": " A discussion section provides information regarding the current ME composites, including the future development prospects and potential applications of ZnO-based magnetoelectric composites, followed by conclusions.", "language": "english", "position": {"atoms": [{"position_id": 2701, "txt": " A discussion section provides information regarding the current ME composites, including the future development prospects and potential applications of ZnO-based magnetoelectric composites, followed by conclusions.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[1]/div[3]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "2. Magnetoelectric (ME) Effect", "language": "english", "position": {"atoms": [{"position_id": 2703, "txt": "2. Magnetoelectric (ME) Effect", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 16, "global_sentence_id": 42, "edu_l1_label": "BOS"}, {"txt": "The magnetoelectric effect (ME) originates from the coupling between electrical and magnetic phenomena in bulk, composite or multiphase materials.", "language": "english", "position": {"atoms": [{"position_id": 2705, "txt": "The magnetoelectric effect (ME) originates from the coupling between electrical and magnetic phenomena in bulk, composite or multiphase materials.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": " In particular, the direct magnetoelectric effect (DME) is defined as the emergence of an electric polarization P under the application of an external magnetic field H, whereas the converse ME effect (CME) is described as the emergence of or change in magnetization M when an external electric field E is applied [20].", "language": "english", "position": {"atoms": [{"position_id": 2706, "txt": " In particular, the direct magnetoelectric effect (DME) is defined as the emergence of an electric polarization P under the application of an external magnetic field H, whereas the converse ME effect (CME) is described as the emergence of or change in magnetization M when an external electric field E is applied [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]"}, {"position_id": 2708, "txt": "20", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/a[1]"}, {"position_id": 2710, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": " ME composites rely on the interaction between a ferromagnetic (FM) phase exhibiting strain when subjected to a magnetic field due to magnetostriction and a piezoelectric (PE) phase that exhibits electric polarization via the application of mechanical stress/strain.", "language": "english", "position": {"atoms": [{"position_id": 2711, "txt": " ME composites rely on the interaction between a ferromagnetic (FM) phase exhibiting strain when subjected to a magnetic field due to magnetostriction and a piezoelectric (PE) phase that exhibits electric polarization via the application of mechanical stress/strain.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/a[1]"}]}, "tags": [], "label": 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"/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/div[1]/div[1]/div/span/span/math/semantics/mrow/mrow[3]/mrow[2]/mo[2]"}]}, "tags": [], "label": "formula", "web_segment_id": 19, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "(1)", "language": "english", "position": {"atoms": [{"position_id": 2784, "txt": "(1)", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/div[1]/div[2]/label"}]}, "tags": [], "label": "formula", "web_segment_id": 20, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": " where σ, S and c are the stress, strain and stiffness tensors, respectively.", "language": "english", "position": {"atoms": [{"position_id": 2786, "txt": " where σ, S and c are the stress, strain and stiffness tensors, respectively.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": " D, E, ε and e denote the electric displacement field, electric field, electrical permittivity and piezoelectric coefficient tensors in the stress–charge form respectively.", "language": "english", "position": {"atoms": [{"position_id": 2787, "txt": " D, E, ε and e denote the electric displacement field, electric field, electrical permittivity and piezoelectric coefficient tensors in the stress–charge form respectively.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": " B, H, μ and q are the magnetic induction, magnetic field intensity, permeability and piezomagnetic coefficient, respectively, and α is the magnitude of the linear ME effect.", "language": "english", "position": {"atoms": [{"position_id": 2788, "txt": " B, H, μ and q are the magnetic induction, magnetic field intensity, permeability and piezomagnetic coefficient, respectively, and α is the magnitude of the linear ME effect.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": " Superscript T corresponds to the transpose of the tensor.", "language": "english", "position": {"atoms": [{"position_id": 2789, "txt": " Superscript T corresponds to the transpose of the tensor.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": " The coefficients for the direct (α", "language": "english", "position": {"atoms": [{"position_id": 2790, "txt": " The coefficients for the direct (α", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "E) and converse (αH or αB) ME effects are conventionally used in the literature since they adequately describe the magnitude of the respective effects according to the “product property”, defined by the combination of PE and FM phases, and are used as a figure of merit describing the strength of the ME coupling [21].", "language": "english", "position": {"atoms": [{"position_id": 2792, "txt": "E", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/sub[1]"}, {"position_id": 2794, "txt": ") and converse (α", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/sub[1]"}, {"position_id": 2796, "txt": "H", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/sub[2]"}, {"position_id": 2798, "txt": " or α", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/sub[2]"}, {"position_id": 2800, "txt": "B", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/sub[3]"}, {"position_id": 2802, "txt": ") ME effects are conventionally used in the literature since they adequately describe the magnitude of the respective effects according to the “product property”, defined by the combination of PE and FM phases, and are used as a figure of merit describing the strength of the ME coupling [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/sub[3]"}, {"position_id": 2804, "txt": "21", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/a[3]"}, {"position_id": 2806, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": " Based on the “product property” definition, the direct ME coefficient is given by:", "language": "english", "position": {"atoms": [{"position_id": 2807, "txt": " Based on the “product property” definition, the direct ME coefficient is given by:", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "αE=δEδH≈δEδSδSδH,αE=VtδH,αE=kcqe,", "language": "english", "position": {"atoms": [{"position_id": 2809, "txt": "α", "x": 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δE and δS are the amplitudes of the ac electric field and strain in a varying magnetic field δH.", "language": "english", "position": {"atoms": [{"position_id": 2882, "txt": " The evaluation of the ME coefficient is usually performed in dynamic conditions by the application of alternating magnetic fields, thus, δE and δS are the amplitudes of the ac electric field and strain in a varying magnetic field δH.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/sub[4]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": " In addition, the ME coefficient includes the geometrical effects stemming from the configuration of the composite, the dependence of the magnetostriction λ of the ferromagnetic phase on H and the piezoelectric properties of the PE phase [16].", "language": "english", "position": {"atoms": [{"position_id": 2883, "txt": " In addition, the ME coefficient includes the geometrical effects stemming from the configuration of the composite, the dependence of the magnetostriction λ of the ferromagnetic phase on H and the piezoelectric properties of the PE phase [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/sub[4]"}, {"position_id": 2885, "txt": "16", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/a[4]"}, {"position_id": 2887, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[1]/a[4]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "An important factor that greatly influences the ME response of a composite is its connectivity, which essentially specifies the way the FM and PE phases are interacting with each other, presented schematically in Figure 1. The connectivity is defined by two numbers, with the first one representing the FM phase and the second one the PE phase, indicating the number of coordinates along which strain transfer (i.e., deformation) occurs, from the magnetostrictive to the piezoelectric phase [22].", "language": "english", "position": {"atoms": [{"position_id": 2889, "txt": "An important factor that greatly influences the ME response of a composite is its connectivity, which essentially specifies the way the FM and PE phases are interacting with each other, presented schematically in ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[2]"}, {"position_id": 2891, "txt": "Figure 1", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[2]/a[1]"}, {"position_id": 2893, "txt": ". The connectivity is defined by two numbers, with the first one representing the FM phase and the second one the PE phase, indicating the number of coordinates along which strain transfer (i.e., deformation) occurs, from the magnetostrictive to the piezoelectric phase [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[2]/a[1]"}, {"position_id": 2895, "txt": "22", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[2]/a[2]"}, {"position_id": 2897, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[2]/div[2]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": " ME composites with 0-0 connectivity (Figure 1a) refer to a composite consisting of FM and PE particles embedded on a neutral matrix, while 0-3 composites (Figure 1b) consist of 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"txt": "Figure 2", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[1]/a[8]"}, {"position_id": 3078, "txt": "a, forming an ME cantilever with 2-2 connectivity (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[1]/a[8]"}, {"position_id": 3080, "txt": "Figure 1", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[1]/a[9]"}, {"position_id": 3082, "txt": "d), depicted in ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[1]/a[9]"}, {"position_id": 3084, "txt": "Figure 2", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[1]/a[10]"}, {"position_id": 3086, "txt": "b.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[1]/a[10]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": " A highly c-axis-oriented ZnO film with a thickness of 2 μm was grown, presenting a columnar structure.", "language": "english", "position": {"atoms": [{"position_id": 3087, "txt": " A highly c-axis-oriented ZnO film with a thickness of 2 μm was grown, presenting a columnar structure.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[1]/a[10]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": " Magnetoelectric characterization was performed using the DC and AC magnetic fields, and parameters such as the magnetostriction (λ), piezomagnetic coefficient d33,m and magnetoelectric coefficient 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", "language": "english", "position": {"atoms": [{"position_id": 3159, "txt": " Copyright [2011], John Wiley and Sons. ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[2]/div[2]/a"}]}, "tags": [], "label": "figure_title", "web_segment_id": 32, "global_sentence_id": 96, "edu_l1_label": "EDU_O"}, {"txt": "Despite the widespread adoption of cantilever structures, ZnO-based ME research has also focused on SAW [48,49] in addition to bulk (BAW) and film (FBAR) bulk acoustic wave resonator devices [50], integrated with magnetostrictive materials.", "language": "english", "position": {"atoms": [{"position_id": 3161, "txt": "Despite the widespread adoption of cantilever structures, ZnO-based ME research has also focused on SAW [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[3]"}, {"position_id": 3163, "txt": "48", "x": 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materials.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[3]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": " Alekseev et al.", "language": "english", "position": {"atoms": [{"position_id": 3174, "txt": " Alekseev et al.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[3]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": " [51] presented a layered magnetoelectric heterostructure consisting of yttrium iron garnet (YIG) as the magnetostrictive phase grown on gadolinium gallium garnet (GGG) substrates.", "language": "english", "position": {"atoms": [{"position_id": 3175, "txt": " [", "x": 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", "language": "english", "position": {"atoms": [{"position_id": 3230, "txt": " Copyright [2016], AIP Publishing. ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[4]/div[2]/a"}]}, "tags": [], "label": "figure_title", "web_segment_id": 35, "global_sentence_id": 112, "edu_l1_label": "EDU_O"}, {"txt": "The combination of the wave resonators with microelectromechanical systems (MEMS) in the field of magnetoelectrics offer the potential for sensor miniaturization and the integration of tunable and reconfigurable filter elements into microwave transceivers for mobile radios and RF SoCs (system-on-chip).", "language": "english", "position": {"atoms": [{"position_id": 3232, "txt": "The combination of the wave resonators with microelectromechanical systems (MEMS) in the field of magnetoelectrics offer the potential for sensor miniaturization and the integration of tunable and reconfigurable filter elements into microwave transceivers for mobile radios and RF SoCs (system-on-chip).", "x": 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"content", "web_segment_id": 37, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": " These characterization methods allow for the measurement of strain on the atomic scale by directly evaluating the lattice deformation of the ZnO crystal under an applied magnetic field bias.", "language": "english", "position": {"atoms": [{"position_id": 3305, "txt": " These characterization methods allow for the measurement of strain on the atomic scale by directly evaluating the lattice deformation of the ZnO crystal under an applied magnetic field bias.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[6]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": " An analysis of the interface between ZnO and FeTb revealed the presence of substantial residual strain, which was attributed to the process of sample preparation and to the mismatch 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"/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[6]/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": " The magnetostriction measurements using the cantilever method (Figure 4c) were in good agreement with the magnetic-field-induced strain calculated by the shift of the ZnO (110) Bragg peak.", "language": "english", "position": {"atoms": [{"position_id": 3329, "txt": " The magnetostriction measurements using the cantilever method (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[6]/a[6]"}, {"position_id": 3331, "txt": "Figure 4", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[6]/a[7]"}, {"position_id": 3333, "txt": "c) were in good agreement with the magnetic-field-induced strain calculated by the shift of the ZnO (110) Bragg peak.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[6]/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": " GIXRD enables a more direct approach in residual and magnetic-induced strain in ME interfaces by providing the local average strain distribution (corresponding to the beam impinging area) and allowing strain mapping on the microscale.", "language": "english", "position": {"atoms": [{"position_id": 3334, "txt": " GIXRD enables a more direct approach in residual and magnetic-induced strain in ME interfaces by providing the local average strain distribution (corresponding to the beam impinging area) and allowing strain mapping on the microscale.", "x": 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", "language": "english", "position": {"atoms": [{"position_id": 3410, "txt": " Copyright [2013], AIP Publishing. ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[1]/div[7]/div[2]/a[2]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 39, "global_sentence_id": 136, "edu_l1_label": "EDU_O"}, {"txt": "3.1.2.", "language": "english", "position": {"atoms": [{"position_id": 3412, "txt": "3.1.2.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 40, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": " Doped ZnO Thin Films", "language": "english", "position": {"atoms": [{"position_id": 3413, "txt": " Doped ZnO Thin Films", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 40, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "ZnO is an intrinsic n-type semiconductor with a substantial research effort focused on doping with appropriate impurities, such as lithium, copper and nitrogen as acceptors and aluminum, hydrogen and gallium as donors [62].", "language": "english", "position": {"atoms": [{"position_id": 3415, "txt": "ZnO is an intrinsic n-type semiconductor with a substantial research effort focused on doping with appropriate impurities, such as lithium, copper and nitrogen as acceptors and aluminum, hydrogen and gallium as donors [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]"}, {"position_id": 3417, "txt": "62", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/a[1]"}, {"position_id": 3419, "txt": "].", "x": 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"edu_l1_label": "IOS"}, {"txt": " Magnetoelectric, W-doped, ZnO thin films were developed by physical vapor deposition (sputtering) using a ZnO target containing 1–2% tungsten in an Ar/O2 gas mixture (70/30%) at 420 °C [67].", "language": "english", "position": {"atoms": [{"position_id": 3439, "txt": " Magnetoelectric, W-doped, ZnO thin films were developed by physical vapor deposition (sputtering) using a ZnO target containing 1–2% tungsten in an Ar/O", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/a[5]"}, {"position_id": 3441, "txt": "2", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/sub"}, {"position_id": 3443, "txt": " gas mixture (70/30%) at 420 °C [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/sub"}, 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an increased carrier concentration due to the excess electrons provided by the bond between W+6 and O−2; however, an increase in room-temperature sheet resistivity and a reduction in mobility were observed.", "language": "english", "position": {"atoms": [{"position_id": 3457, "txt": " This resulted in an increased carrier concentration due to the excess electrons provided by the bond between W", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/sup[2]"}, {"position_id": 3459, "txt": "+6", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/sup[3]"}, {"position_id": 3461, "txt": " and O", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/sup[3]"}, {"position_id": 3463, "txt": "−2", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/sup[4]"}, {"position_id": 3465, "txt": "; however, an increase in room-temperature sheet resistivity and a reduction in mobility were observed.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/sup[4]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": " Magnetoresistivity was observed for both doped and pure thin films at low temperatures (5 K); however, no appreciable change in the magnetic properties of the W-doped thin films was observed.", "language": "english", "position": {"atoms": [{"position_id": 3466, "txt": " Magnetoresistivity was observed for both doped and pure thin films at low temperatures (5 K); however, no appreciable change in the magnetic properties of the W-doped thin films was observed.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/sup[4]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": " Doping with W does not appear to favor the enhancement of either magnetic or magnetoelectric properties; although metals such as Li, Ni and Mg were reported as potential dopants for enhancing the ferromagnetic and/or ferroelectric properties of ZnO thin films.", "language": "english", "position": {"atoms": [{"position_id": 3467, "txt": " Doping with W does not appear to favor the enhancement of either magnetic or magnetoelectric properties; although metals such as Li, Ni and Mg were reported as potential dopants for enhancing the ferromagnetic and/or ferroelectric properties of ZnO thin films.", "x": 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"/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/sup[4]"}, {"position_id": 3471, "txt": "68", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/a[7]"}, {"position_id": 3473, "txt": "] presented the effect of Li, Ni and Mg doping on the magnetoelectric coupling and multiferroic properties of ZnO thin films.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": " The pure and doped (5 wt.%) ZnO thin-films were synthesized by the sol-gel route using zinc acetate, lithium acetate, magnesium acetate and nickel nitrate as dopant sources.", "language": "english", "position": {"atoms": [{"position_id": 3474, "txt": " The pure and doped (5 wt.%) ZnO thin-films were synthesized by the sol-gel route using zinc acetate, lithium acetate, magnesium acetate and nickel nitrate as dopant sources.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": " A non-linear ferroelectric behavior was identified in Ni-, Li- and Mg-doped samples, shown in Figure 5a,b, in contrast to pure ZnO, and the decrease in remnant polarization was attributed to the ionic radius of the dopants creating an electric dipole moment due to the substitution of Zn+2 in the crystal lattice.", "language": "english", "position": {"atoms": [{"position_id": 3475, "txt": " A non-linear ferroelectric behavior was identified in Ni-, Li- and Mg-doped samples, shown in ", "x": 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"/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/a[9]"}, {"position_id": 3488, "txt": "c) and increased magnetoelectric coupling in the Ni- and Mg-doped samples (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/a[9]"}, {"position_id": 3490, "txt": "Figure 5", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/a[10]"}, {"position_id": 3492, "txt": "d,e) in contrast to pure ZnO.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[1]/a[10]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": " An enhanced ME voltage was observed in the Ni-doped samples due to the ferromagnetic nature of 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", "language": "english", "position": {"atoms": [{"position_id": 3519, "txt": " Copyright [2014], Elsevier. ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[2]/div[2]/a"}]}, "tags": [], "label": "figure_title", "web_segment_id": 43, "global_sentence_id": 157, "edu_l1_label": "EDU_O"}, {"txt": "As stated above, the un-doped ZnO shows weak reversible polarization.", "language": "english", "position": {"atoms": [{"position_id": 3521, "txt": "As stated above, the un-doped ZnO shows weak reversible polarization.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": " However, in a report by Maiz et al.", "language": "english", "position": {"atoms": [{"position_id": 3522, "txt": " However, in a report by Maiz et al.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": " [18], the ZnO nanorods depicted a clear polarization switching at a coercive field of 1400 MV/m.", "language": "english", "position": {"atoms": [{"position_id": 3523, "txt": " [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]"}, {"position_id": 3525, "txt": "18", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[1]"}, {"position_id": 3527, "txt": "], the ZnO nanorods depicted a clear polarization switching at a coercive field of 1400 MV/m.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": " This was explained by the coexistence of two ZnO phases in the nanorod structure as a side-effect of the fabrication process, effectively creating a core-shell architecture.", "language": "english", "position": {"atoms": [{"position_id": 3528, "txt": " This was explained by the coexistence of two ZnO phases in the nanorod structure as a side-effect of the fabrication process, effectively creating a core-shell architecture.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": " The samples that exhibited ferroelectricity presented an increased volume faction of the ZnO β-phase in contrast to samples crystallized only in the P63mc space group, thus, ferroelectricity in pure ZnO is a second-order effect rather than an intrinsic property of the material [69].", "language": "english", "position": {"atoms": [{"position_id": 3529, "txt": " The samples that exhibited ferroelectricity presented an increased volume faction of the ZnO β-phase in contrast to samples crystallized only in the P6", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[1]"}, {"position_id": 3531, "txt": "3", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sub"}, {"position_id": 3533, "txt": "mc space group, thus, ferroelectricity in pure ZnO is a second-order effect rather than an intrinsic property of the material [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sub"}, {"position_id": 3535, "txt": "69", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[2]"}, {"position_id": 3537, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": " Therefore, doping strategies in ZnO were actively researched for their effect on the ferroelectric properties [70], especially in the case of ZnO doped with Li, Mg, Ni and Co. Lithium and Cobalt doped ZnO thin films were reported by Lin et al.", "language": "english", "position": {"atoms": [{"position_id": 3538, "txt": " Therefore, doping strategies in ZnO were actively researched for their effect on the ferroelectric properties [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[2]"}, {"position_id": 3540, "txt": "70", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[3]"}, {"position_id": 3542, "txt": "], especially in the case of ZnO doped with Li, Mg, Ni and Co. Lithium and Cobalt doped ZnO thin films were reported by Lin et al.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": " [71] to exhibit simultaneous ferromagnetic and ferroelectric behavior, which was attributed to the Co2+ and Li+ ions occupying the off-center positions in the ZnO crystal.", "language": "english", "position": {"atoms": [{"position_id": 3543, "txt": " [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[3]"}, {"position_id": 3545, "txt": "71", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[4]"}, {"position_id": 3547, "txt": "] to exhibit simultaneous ferromagnetic and ferroelectric behavior, which was attributed to the Co", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[4]"}, {"position_id": 3549, "txt": "2+", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sup[1]"}, {"position_id": 3551, "txt": " and Li", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sup[1]"}, {"position_id": 3553, "txt": "+", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sup[2]"}, {"position_id": 3555, "txt": " ions occupying the off-center positions in the ZnO crystal.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sup[2]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 164, "edu_l1_label": "IOS"}, {"txt": " Both effects are defect-related, inducing permanent local electric dipoles in the case of ferroelectricity due to the different ionic radii of Li+ and Zn2+ ions.", "language": "english", "position": {"atoms": [{"position_id": 3556, "txt": " Both effects are defect-related, inducing permanent local electric dipoles in the case of ferroelectricity due to the different ionic radii of Li", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sup[2]"}, {"position_id": 3558, "txt": "+", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sup[3]"}, {"position_id": 3560, "txt": " and Zn", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sup[3]"}, {"position_id": 3562, "txt": "2+", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sup[4]"}, {"position_id": 3564, "txt": " ions.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sup[4]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": " The magnetoelectric properties of the composite were not discussed in the aforementioned study; however, multiferroic composite materials that combine ferromagnetic and ferroelectric properties are highly effective for magnetoelectric applications [72].", "language": "english", "position": {"atoms": [{"position_id": 3565, "txt": " The magnetoelectric properties of the composite were not discussed in the aforementioned study; however, multiferroic composite materials that combine ferromagnetic and ferroelectric properties are highly effective for magnetoelectric applications [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/sup[4]"}, {"position_id": 3567, "txt": "72", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[5]"}, {"position_id": 3569, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[5]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 166, "edu_l1_label": "IOS"}, {"txt": " In addition, the incorporation of ferromagnetic materials into ZnO thin films was investigated by Li et al.", "language": "english", "position": {"atoms": [{"position_id": 3570, "txt": " In addition, the incorporation of ferromagnetic materials into ZnO thin films was investigated by Li et al.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[5]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": " [73] via Co ion implantation of pulsed-laser-deposited ZnO films.", "language": "english", "position": {"atoms": [{"position_id": 3571, "txt": " [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[5]"}, {"position_id": 3573, "txt": "73", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[6]"}, {"position_id": 3575, "txt": "] via Co ion implantation of pulsed-laser-deposited ZnO films.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": " The magnetoelectric coupling was established by the interaction between the electric dipole moments and magnetic moments, notably without strain-mediated effects due to the magnetostriction of the Co nanoparticles.", "language": "english", "position": {"atoms": [{"position_id": 3576, "txt": " The magnetoelectric coupling was established by the interaction between the electric dipole moments and magnetic moments, notably without strain-mediated effects due to the magnetostriction of the Co nanoparticles.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": " Although the ME coupling was established at high-intensity magnetic fields, such a multiferroic nanocomposite thin film can present an alternative to conventional ME composites and be a possible candidate in magnetoelectric applications.", "language": "english", "position": {"atoms": [{"position_id": 3577, "txt": " Although the ME coupling was established at high-intensity magnetic fields, such a multiferroic nanocomposite thin film can present an alternative to conventional ME composites and be a possible candidate in magnetoelectric applications.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[1]/section[2]/div[3]/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "3.2. ZnO Micro- and Nano-Rods", "language": "english", "position": {"atoms": [{"position_id": 3579, "txt": "3.2. ZnO Micro- and Nano-Rods", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/h4"}]}, "tags": ["h4"], "label": "title2", "web_segment_id": 45, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "In 2008, Chen et al.", "language": "english", "position": {"atoms": [{"position_id": 3581, "txt": "In 2008, Chen et al.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 172, "edu_l1_label": "IOS"}, {"txt": " [74] demonstrated one of the first magnetoelectric composites utilizing ZnO nanorods for the piezoelectric phase and a Ni-Fe alloy for the magnetostrictive layer, corresponding to the connectivity scheme shown in Figure 1f.", "language": "english", "position": {"atoms": [{"position_id": 3582, "txt": " [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]"}, {"position_id": 3584, "txt": "74", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[1]"}, {"position_id": 3586, "txt": "] demonstrated one of the first magnetoelectric composites utilizing ZnO nanorods for the piezoelectric phase and a Ni-Fe alloy for the magnetostrictive layer, corresponding to the connectivity scheme shown in ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[1]"}, {"position_id": 3588, "txt": "Figure 1", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[2]"}, {"position_id": 3590, "txt": "f.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": " The ZnO nanorods were fabricated via the electrochemical deposition method on ITO substrates, depicted in Figure 6a, using an aqueous solution of zinc nitrate, KCL and formamide.", "language": "english", "position": {"atoms": [{"position_id": 3591, "txt": " The ZnO nanorods were fabricated via the electrochemical deposition method on ITO substrates, depicted in ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[2]"}, {"position_id": 3593, "txt": "Figure 6", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[3]"}, {"position_id": 3595, "txt": "a, using an aqueous solution of zinc nitrate, KCL and formamide.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": " A thin-film passivation layer was realized in order to electrically isolate the ITO substrate from the magnetostrictive layer- by spin coating a sol-gel-derived ZnO layer.", "language": "english", "position": {"atoms": [{"position_id": 3596, "txt": " A thin-film passivation layer was realized in order to electrically isolate the ITO substrate from the magnetostrictive layer- by spin coating a sol-gel-derived ZnO layer.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": " The magnetostrictive Ni-Fe (75–25% wt.) phase was deposited on top of the as-grown nanorods by DC magnetron sputtering at a 5 × 10−3 Torr Ar ambient with a final thickness of 100 nm, shown in Figure 6b,c.", "language": "english", "position": {"atoms": [{"position_id": 3597, "txt": " The magnetostrictive Ni-Fe (75–25% wt.) phase was deposited on top of the as-grown nanorods by DC magnetron sputtering at a 5 × 10", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[3]"}, {"position_id": 3599, "txt": "−3", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/sup[1]"}, {"position_id": 3601, "txt": " Torr Ar ambient with a final thickness of 100 nm, shown in ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/sup[1]"}, {"position_id": 3603, "txt": "Figure 6", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[4]"}, {"position_id": 3605, "txt": "b,c.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[4]"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 176, "edu_l1_label": "IOS"}, {"txt": " The magnetoelectric characterization was performed by the direct ME measurement method, using an Au sputtered top electrode and the ITO substrate, via a lock-in amplifier in both longitudinal (LM) and transverse (TM) magnetization.", "language": "english", "position": {"atoms": [{"position_id": 3606, "txt": " The magnetoelectric characterization was performed by the direct ME measurement method, using an Au sputtered top electrode and the ITO substrate, via a lock-in amplifier in both longitudinal (LM) and transverse (TM) magnetization.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[4]"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": " The ME voltage coefficients (αH) for TM and LM (Figure 6d) were found to be 0.34 and 0.48 mV cm−1 Oe−1.", "language": "english", "position": {"atoms": [{"position_id": 3607, "txt": " The ME voltage coefficients (α", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[4]"}, {"position_id": 3609, "txt": "H", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/sub"}, {"position_id": 3611, "txt": ") for TM and LM (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/sub"}, {"position_id": 3613, "txt": "Figure 6", "x": 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{"atoms": [{"position_id": 3639, "txt": " The interfacing of magnetostrictive materials with nano- and microrods has proven to be a significant technological challenge due to the imperfections that exist on the interfaces, becoming the dominant factor for reduced ME performance.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[1]/a[8]"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": " This is contrary to large ME laminates, where mechanical effects such as shear stresses and anchor losses can significantly influence sensitivity and performance.", "language": "english", "position": {"atoms": [{"position_id": 3640, "txt": " This is contrary to large ME laminates, where mechanical effects such as shear stresses and anchor losses can significantly influence sensitivity and performance.", "x": 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(a) SEM image of the as-grown ZnO nanorods on ITO/glass substrate; (b) cross-sectional SEM image of the ZnO nanorods, coated with Ni-Fe; (c) magnified SEM view of the coated nanorods; (d) magnetoelectric voltage coefficient under the application of an external magnetic field, measured in the transversal and longitudinal modes.", "language": "english", "position": {"atoms": [{"position_id": 3642, "txt": "Figure 6.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[1]"}, {"position_id": 3644, "txt": " (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[1]"}, {"position_id": 3646, "txt": "a", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[2]"}, {"position_id": 3648, "txt": ") SEM image of the as-grown ZnO nanorods on ITO/glass substrate; (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[2]"}, {"position_id": 3650, "txt": "b", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[3]"}, {"position_id": 3652, "txt": ") cross-sectional SEM image of the ZnO nanorods, coated with Ni-Fe; (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[3]"}, {"position_id": 3654, "txt": "c", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[4]"}, {"position_id": 3656, "txt": ") magnified SEM view of the coated nanorods; (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[4]"}, {"position_id": 3658, "txt": "d", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[5]"}, {"position_id": 3660, "txt": ") magnetoelectric voltage coefficient under the application of an external magnetic field, measured in the transversal and longitudinal modes.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[5]"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 48, "global_sentence_id": 185, "edu_l1_label": "EDU_O"}, {"txt": " Reproduced with permission from [74].", "language": "english", "position": {"atoms": [{"position_id": 3661, "txt": " Reproduced with permission from [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/b[5]"}, {"position_id": 3663, "txt": "74", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/a"}, {"position_id": 3665, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/a"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 48, "global_sentence_id": 186, "edu_l1_label": "EDU_O"}, {"txt": " Copyright [2008], IOP Publishing, Ltd. ", "language": "english", "position": {"atoms": [{"position_id": 3666, "txt": " Copyright [2008], IOP Publishing, Ltd. ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[2]/div[2]/a"}]}, "tags": [], "label": "figure_title", "web_segment_id": 48, "global_sentence_id": 187, "edu_l1_label": "EDU_O"}, {"txt": "The ZnO microrods were used by Kaps et al.", "language": "english", "position": {"atoms": [{"position_id": 3668, "txt": "The ZnO microrods were used by Kaps et al.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": " [26], who developed a magnetoelectric core-shell composite based on amorphous FeCoBSi, focusing on the investigation of the interface between the two materials.", "language": "english", "position": {"atoms": [{"position_id": 3669, "txt": " [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]"}, {"position_id": 3671, "txt": "26", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[1]"}, {"position_id": 3673, "txt": "], who developed a magnetoelectric core-shell composite based on amorphous FeCoBSi, focusing on the investigation of the interface between the two materials.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": " The microrods with a length of up to 1 cm were synthesized via the modified vapor–liquid–solid (MVLS) approach and by the conventional vapor–liquid–solid (VLS) method.", "language": "english", "position": {"atoms": [{"position_id": 3674, "txt": " The microrods with a length of up to 1 cm were synthesized via the modified vapor–liquid–solid (MVLS) approach and by the conventional vapor–liquid–solid (VLS) method.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": " The FeCoBSi magnetostrictive thin film was RF sputtered on the VLS-grown rods, and the composite was investigated by TEM.", "language": "english", "position": {"atoms": [{"position_id": 3675, "txt": " The FeCoBSi magnetostrictive thin film was RF sputtered on the VLS-grown rods, and the composite was investigated by TEM.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": " The crystallinity of the ZnO microrods was not affected by the deposited magnetostrictive layer, which was of uniform thickness and amorphous in nature.", "language": "english", "position": {"atoms": [{"position_id": 3676, "txt": " The crystallinity of the ZnO microrods was not affected by the deposited magnetostrictive layer, which was of uniform thickness and amorphous in nature.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": " Investigation of the interface can provide insight about the magnetization-induced stress and strain created through the interaction of the magnetostrictive and piezoelectric phase under the application of an external magnetic field [76].", "language": "english", "position": {"atoms": [{"position_id": 3677, "txt": " Investigation of the interface can provide insight about the 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to ZnO microrod and nanorod [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[4]"}, {"position_id": 3695, "txt": "78", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[5]"}, {"position_id": 3697, "txt": "] ME composites in order to investigate the magnetic domain structure, alignment and domain wall motion [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[5]"}, {"position_id": 3699, "txt": "79", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[6]"}, {"position_id": 3701, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 197, "edu_l1_label": "IOS"}, {"txt": " Domain wall rotation was observed on single microrod composites, shown in Figure 7a, with the application of a magnetic field perpendicular to the rod axis.", "language": "english", "position": {"atoms": [{"position_id": 3702, "txt": " Domain wall rotation was observed on single microrod composites, shown in ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[6]"}, {"position_id": 3704, "txt": "Figure 7", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[7]"}, {"position_id": 3706, "txt": "a, with the application of a magnetic field perpendicular to the rod axis.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": " Initially, the FeCoBSi MS layer is largely in a demagnetized state and, by the application of a transversal field, 180° domain wall motion occurs, reaching saturation above 15 mT.", "language": "english", "position": {"atoms": [{"position_id": 3707, "txt": " Initially, the FeCoBSi MS layer is largely in a demagnetized state and, by the application of a transversal field, 180° domain wall motion occurs, reaching saturation above 15 mT.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": " The complex magnetic domain structure can be identified from the demagnetized to the saturated state, suggesting the existence of magnetic domains with antiparallel alignment terminated by 90° domains along the [001] direction, which are gradually annihilated through the magnetization process, reaching a complete alignment along the direction of the applied field at saturation (Figure 7b).", "language": "english", "position": {"atoms": [{"position_id": 3708, "txt": " The complex magnetic domain structure can be identified from the demagnetized to the saturated state, suggesting the existence of magnetic domains with antiparallel alignment terminated by 90° domains along the [001] direction, which are gradually annihilated through the magnetization process, reaching a complete alignment along the direction of the applied field at saturation (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[7]"}, {"position_id": 3710, "txt": "Figure 7", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[8]"}, {"position_id": 3712, "txt": "b).", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[8]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 200, "edu_l1_label": "IOS"}, {"txt": " Although MOKE microscopy provides a detailed analysis of the magnetic domain structure, it does not provide any information regarding the magnetization-induced strain on the interface.", "language": "english", "position": {"atoms": [{"position_id": 3713, "txt": " Although MOKE microscopy provides a detailed analysis of the magnetic domain structure, it does not provide any information regarding the magnetization-induced strain on the interface.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[3]/a[8]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 201, "edu_l1_label": "IOS"}, {"txt": " For that purpose, X-ray diffraction (XRD) was utilized 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", "language": "english", "position": {"atoms": [{"position_id": 3766, "txt": " Copyright [2017], American Chemical Society. ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[4]/div[2]/a[2]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 51, "global_sentence_id": 208, "edu_l1_label": "EDU_O"}, {"txt": "Employing XRD as a means to evaluate magnetostriction allows us to probe microrods at a fine enough volume to allow for the spatial mapping of the lattice parameters with high resolution, both for the uncoated and coated samples, providing growth and magnetically induced strain information.", "language": "english", "position": {"atoms": [{"position_id": 3768, "txt": "Employing XRD as a means to evaluate magnetostriction allows us to probe microrods at a fine enough volume to allow for the spatial mapping of the lattice parameters with high resolution, both for the uncoated and coated samples, providing growth and magnetically induced strain information.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[5]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": " In a study by Hrkac et al.", "language": "english", "position": {"atoms": [{"position_id": 3769, "txt": " In a study by Hrkac et al.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[5]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 210, "edu_l1_label": "IOS"}, {"txt": " [79], the combined MOKE and nano-diffraction studies revealed a magnetic easy axis perpendicular to the rod axis and magnetic-field-induced strains at the edges of the ZnO crystal exceeding the expected theoretical value of 4 × 10−5.", "language": "english", "position": {"atoms": [{"position_id": 3770, "txt": " [", "x": 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"].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[5]/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 217, "edu_l1_label": "IOS"}, {"txt": " This investigation of strain distribution directly on the interface between ZnO and an MS layer highlights the impact of miniaturization on ME composites and drives the research to pursue further improvement on magnetoelectric performance in the nanoscale.", "language": "english", "position": {"atoms": [{"position_id": 3833, "txt": " This investigation of strain distribution directly on the interface between ZnO and an MS layer highlights the impact of miniaturization on ME composites and drives the research to pursue further improvement on magnetoelectric performance in the nanoscale.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[5]/a[7]"}]}, "tags": [], 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{"txt": " Using the same FTS method as in [80], Gröttrup et al.", "language": "english", "position": {"atoms": [{"position_id": 3853, "txt": " Using the same FTS method as in [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[2]"}, {"position_id": 3855, "txt": "80", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[3]"}, {"position_id": 3857, "txt": "], Gröttrup et al.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": " [36] synthesized mm-long ZnO micro needles (Figure 8b) and fabricated one of the first piezotronic-based magnetoelectric sensors (2-1 connectivity, rod-like PE phase on FM-thin-film) on a FeCoSiB cantilever, shown in Figure 8c.", "language": "english", "position": {"atoms": [{"position_id": 3858, "txt": " [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[3]"}, {"position_id": 3860, "txt": "36", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[4]"}, {"position_id": 3862, "txt": "] synthesized mm-long ZnO micro needles (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[4]"}, {"position_id": 3864, "txt": "Figure 8", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[5]"}, {"position_id": 3866, "txt": "b) and fabricated one of the first piezotronic-based magnetoelectric sensors (2-1 connectivity, rod-like PE phase on FM-thin-film) on a FeCoSiB cantilever, shown in ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[5]"}, {"position_id": 3868, "txt": "Figure 8", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[6]"}, {"position_id": 3870, "txt": "c.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[6]"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": " By using the piezotronic principle and piezotronic current measurements with Ohmic contact, an improvement by three orders of magnitude in the limit of detection (LoD) was demonstrated compared to sensors based on the piezoelectric measurements with Schottky contacts (Figure 8d,e).", "language": "english", "position": {"atoms": [{"position_id": 3871, "txt": " By using the piezotronic principle and piezotronic current measurements with Ohmic contact, an improvement by three orders of magnitude in the limit of detection (LoD) was demonstrated compared to sensors based on the piezoelectric measurements with Schottky contacts (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[6]"}, {"position_id": 3873, "txt": "Figure 8", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[7]"}, {"position_id": 3875, "txt": "d,e).", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": " One important outcome is that ZnO resistivity and contact characteristics are essential parameters when considering piezotronic-based devices, as it was shown that the piezotronic current increases while the internal resistance decreases, which is a significant limiting factor of LoD performance.", "language": "english", "position": {"atoms": [{"position_id": 3876, "txt": " One important outcome is that ZnO resistivity and contact characteristics are essential parameters when considering piezotronic-based devices, as it was shown that the piezotronic current increases while the internal resistance decreases, which is a significant limiting factor of LoD performance.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[7]"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": " In addition to sensor application, ZnO was also utilized in photocatalytic applications [86], which, when coupled with magnetostrictive materials and visible light irradiation, can induce enhanced photocatalytic degradation of pollutants and increase the disinfection efficiency via the generation of oxygen and hydroxyl radicals [87].", "language": "english", "position": {"atoms": [{"position_id": 3877, "txt": " In addition to sensor application, ZnO was also utilized in photocatalytic applications [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[7]"}, {"position_id": 3879, "txt": "86", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[8]"}, {"position_id": 3881, "txt": "], which, when coupled with magnetostrictive materials and visible light irradiation, can induce enhanced photocatalytic degradation of pollutants and increase the disinfection efficiency via the generation of oxygen and hydroxyl radicals [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[6]/a[8]"}, {"position_id": 3883, "txt": "87", 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(a) Schematic representation of a 2-2 ME composite sensor during oscillation via an externally applied magnetic field; (b) SEM image of a hexagonal ZnO micro needle; (c) ZnO micro needle ME sensor with Ag and Al/Au/Ag contacts on an FeCoSiB cantilever; (d) Piezotronic (green) and piezoelectric (blue) measurements of an Ag/ZnO/Al/Au/Ag ME sensor in reverse bias at a resonant frequency of 79.4 Hz and a magnetic field of 0.6 mT; (e) I–V characteristics of an Ag/ZnO/Al/Au/Ag ME sensor.", "language": "english", "position": {"atoms": [{"position_id": 3887, "txt": "Figure 8.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[1]"}, {"position_id": 3889, "txt": " (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[1]"}, {"position_id": 3891, "txt": "a", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[2]"}, {"position_id": 3893, "txt": ") Schematic representation of a 2-2 ME composite sensor during oscillation via an externally applied magnetic field; (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[2]"}, {"position_id": 3895, "txt": "b", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[3]"}, {"position_id": 3897, "txt": ") SEM image of a hexagonal ZnO micro needle; (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[3]"}, {"position_id": 3899, "txt": "c", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[4]"}, {"position_id": 3901, "txt": ") ZnO micro needle ME sensor with Ag and Al/Au/Ag contacts on an FeCoSiB cantilever; (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[4]"}, {"position_id": 3903, "txt": "d", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[5]"}, {"position_id": 3905, "txt": ") Piezotronic (green) and piezoelectric (blue) measurements of an Ag/ZnO/Al/Au/Ag ME sensor in reverse bias at a resonant frequency of 79.4 Hz and a magnetic field of 0.6 mT; (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[5]"}, {"position_id": 3907, "txt": "e", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[6]"}, {"position_id": 3909, "txt": ") I–V characteristics of an Ag/ZnO/Al/Au/Ag ME sensor.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[6]"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 227, "edu_l1_label": "EDU_O"}, {"txt": " The equivalent circuit represents the ideal Schottky contact (D1) and space charge contribution (D2), depicting a large piezotronic current in the forward direction.", "language": "english", "position": {"atoms": [{"position_id": 3910, "txt": " The equivalent circuit represents the ideal Schottky contact (D1) and space charge contribution (D2), depicting a large piezotronic current in the forward direction.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[6]"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 228, "edu_l1_label": "EDU_O"}, {"txt": " Reproduced with permission from [36].", "language": "english", "position": {"atoms": [{"position_id": 3911, "txt": " Reproduced with permission from [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/b[6]"}, {"position_id": 3913, "txt": "36", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/a"}, {"position_id": 3915, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/a"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 229, "edu_l1_label": "EDU_O"}, {"txt": " Copyright [2016], John Wiley and Sons. ", "language": "english", "position": {"atoms": [{"position_id": 3916, "txt": " Copyright [2016], John Wiley and Sons. ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[2]/div[7]/div[2]/a"}]}, "tags": [], "label": "figure_title", "web_segment_id": 55, "global_sentence_id": 230, "edu_l1_label": "EDU_O"}, {"txt": "3.3. ZnO Nanocomposites", "language": "english", "position": {"atoms": [{"position_id": 3918, "txt": "3.3. ZnO Nanocomposites", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/h4"}]}, "tags": ["h4"], "label": "title2", "web_segment_id": 56, "global_sentence_id": 231, "edu_l1_label": "IOS"}, {"txt": "As discussed above, thin-film- and micro/nanorod-based ZnO magnetoelectric composites rely on strain transfer between the magnetostrictive and piezoelectric phase for magnetoelectric coupling.", "language": "english", "position": {"atoms": [{"position_id": 3920, "txt": "As discussed above, thin-film- and micro/nanorod-based ZnO magnetoelectric composites rely on strain transfer between the magnetostrictive and piezoelectric phase for magnetoelectric coupling.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 232, "edu_l1_label": "IOS"}, {"txt": " On the other hand, 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cobalt acetate tetrahydrate as precursors, oxalic acid as the precipitating agent, ammonium hydroxide as a pH buffer and tetraethylammoniumhydroxide as an anti-agglomeration agent.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 236, "edu_l1_label": "IOS"}, {"txt": " The resulting nanopowder exhibited nano-crystalline domains of ZnO and Co3O4 with diffraction peak intensities modulated by Co content for both ZnO and Co3O4, accompanied by a reduction in the crystallite size, indicating the substitution of Co+2 at the Zn+2 sites.", "language": "english", "position": {"atoms": [{"position_id": 3933, "txt": " The resulting nanopowder exhibited nano-crystalline domains of ZnO and Co", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/a[2]"}, 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"/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/sup[2]"}, {"position_id": 3957, "txt": " sites.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/sup[2]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": " Ferromagnetic behavior was observed in the Zn-Co-O nanocomposites at 5K and was attributed to the exchange interaction of d-d coupling cobalt ions.", "language": "english", "position": {"atoms": [{"position_id": 3958, "txt": " Ferromagnetic behavior was observed in the Zn-Co-O nanocomposites at 5K and was attributed to the exchange interaction of d-d coupling cobalt ions.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/sup[2]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 238, "edu_l1_label": "IOS"}, {"txt": " In addition, oxygen vacancies heavily contribute to the reported ferromagnetism via a bound magnetic polaron (BMP), formed between trapped electrons by an oxygen vacancy and the trapped electron at an orbital overlapping with the d shell of a cobalt ion.", "language": "english", "position": {"atoms": [{"position_id": 3959, "txt": " In addition, oxygen vacancies heavily contribute to the reported ferromagnetism via a bound magnetic polaron (BMP), formed between trapped electrons by an oxygen vacancy and the trapped electron at an orbital overlapping with the d shell of a cobalt ion.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/sup[2]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 239, "edu_l1_label": "IOS"}, {"txt": " Oxygen vacancies are identified in the doped samples by energy dispersive X-ray spectroscopy (EDS) and UV-visible and fluorescence (FL) spectra.", "language": "english", "position": {"atoms": [{"position_id": 3960, "txt": " Oxygen vacancies are identified in the doped samples by energy dispersive X-ray spectroscopy (EDS) and UV-visible and fluorescence (FL) spectra.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/sup[2]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 240, "edu_l1_label": "IOS"}, {"txt": " The magnetoelectric coupling was verified by measuring the ME coefficient using the dynamic method, i.e., the measurement of the ME voltage developed across the sample under the simultaneous application of DC and AC magnetic fields.", "language": "english", "position": {"atoms": [{"position_id": 3961, "txt": " The magnetoelectric coupling was verified by measuring the ME coefficient using the dynamic method, i.e., the measurement of the ME voltage developed across the sample under the simultaneous application of DC and AC magnetic fields.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/sup[2]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 241, "edu_l1_label": "IOS"}, {"txt": " The magnitude of the magnetoelectric coefficient was evaluated at 8.65 mV/cm Oe at a magnetic field of 2 kOe for the Zn0.82Co0.18O sample, suggesting that the 18% Co-doped ZnO nanocomposites can be applied to functional device applications.", "language": "english", "position": {"atoms": [{"position_id": 3962, "txt": " The magnitude of the magnetoelectric coefficient was evaluated at 8.65 mV/cm Oe at a magnetic field of 2 kOe for the Zn", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/sup[2]"}, {"position_id": 3964, "txt": "0.82", "x": 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(Figure 9a,b) [90] where an ME voltage coefficient of 4.13 mV/cm Oe was identified, depicted in Figure 9d.", "language": "english", "position": {"atoms": [{"position_id": 3971, "txt": " Ferromagnetic ordering, due to the inherent oxygen vacancies and BMP formation, was also reported in Mg-doped ZnO nanoparticles (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/sub[6]"}, {"position_id": 3973, "txt": "Figure 9", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/a[3]"}, {"position_id": 3975, "txt": "a,b) [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/a[3]"}, {"position_id": 3977, "txt": "90", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/a[4]"}, {"position_id": 3979, "txt": "] where an ME voltage coefficient of 4.13 mV/cm Oe was identified, depicted in ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/a[4]"}, {"position_id": 3981, "txt": "Figure 9", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/a[5]"}, {"position_id": 3983, "txt": "d.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[3]/div[1]/a[5]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 243, "edu_l1_label": "IOS"}, {"txt": " Another ferromagnetic material used in ZnO nanocomposites stems from the combination of Ni and Co with Fe2O4 (ferrite).", "language": "english", "position": {"atoms": [{"position_id": 3984, "txt": " Another ferromagnetic material used in ZnO nanocomposites stems from the combination of Ni and Co with Fe", "x": 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"/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[4]/div[7]/a[4]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 289, "edu_l1_label": "IOS"}, {"txt": " Thus, a novel application of nanowire/nanorod composites, either in array form or in single nanowire configurations, may provide the means of bridging the performance gap, while also improving upon spatial resolution and sensitivity in sensor applications.", "language": "english", "position": {"atoms": [{"position_id": 4285, "txt": " Thus, a novel application of nanowire/nanorod composites, either in array form or in single nanowire configurations, may provide the means of bridging the performance gap, while also improving upon spatial resolution and sensitivity in sensor applications.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[4]/div[7]/a[4]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 290, "edu_l1_label": "IOS"}, {"txt": " Single ZnO nanowire-based magnetoelectric composites are still missing from the literature and, combined with the piezotronic and the piezophototronic effect [86], can potentially improve upon the performance of current ZnO ME composites but also give rise to new effects through the interaction between ferromagnetism, photoexcitation, piezoelectricity and the semiconducting phenomena in ZnO.", "language": "english", "position": {"atoms": [{"position_id": 4286, "txt": " Single ZnO nanowire-based magnetoelectric composites are still missing from the literature and, combined with the piezotronic and the piezophototronic effect [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[4]/div[7]/a[4]"}, {"position_id": 4288, "txt": "86", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[4]/div[7]/a[5]"}, {"position_id": 4290, "txt": "], can potentially improve upon the performance of current ZnO ME composites but also give rise to new effects through the interaction between ferromagnetism, photoexcitation, piezoelectricity and the semiconducting phenomena in ZnO.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[3]/section[4]/div[7]/a[5]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 291, "edu_l1_label": "IOS"}, {"txt": "4. Conclusions", "language": "english", "position": {"atoms": [{"position_id": 4292, "txt": "4. Conclusions", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[4]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 69, "global_sentence_id": 292, "edu_l1_label": "BOS"}, {"txt": "In this review, we highlighted the research and development on ZnO-based magnetoelectric composites in various forms, including thin films, micro- and nanorods and nano composites.", "language": "english", "position": {"atoms": [{"position_id": 4294, "txt": "In this review, we highlighted the research and development on ZnO-based magnetoelectric composites in various forms, including thin films, micro- and nanorods and nano composites.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[4]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 293, "edu_l1_label": "IOS"}, {"txt": " Although several materials are utilized for exploiting ME phenomena, ZnO presents significant interest due to its unique properties, including biocompatibility, non-toxicity, low-cost fabrication and potential applicability in large area electronics.", "language": "english", "position": {"atoms": [{"position_id": 4295, "txt": " Although several materials are utilized for exploiting ME phenomena, ZnO presents significant interest due to its unique properties, including biocompatibility, non-toxicity, low-cost fabrication and potential applicability in large area electronics.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[4]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 294, "edu_l1_label": "IOS"}, {"txt": " A significant portion of the research effort focuses on the integration of ZnO micro- and nanostructures with advanced magnetostrictive materials for the realization of novel ME heterostructures.", "language": "english", "position": {"atoms": [{"position_id": 4296, "txt": " A significant portion of the research effort focuses on the integration of ZnO micro- and nanostructures with advanced magnetostrictive materials for the realization of novel ME heterostructures.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[4]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 295, "edu_l1_label": "IOS"}, {"txt": " ZnO thin films were utilized extensively in the fabrication of ME composites as the piezoelectric constituent, in diverse device architectures ranging from cantilevers, surface acoustic waves (SAW) and bulk acoustic waves (BAW) devices, to MEMS FBAR and microcantilever sensors.", "language": "english", "position": {"atoms": [{"position_id": 4297, "txt": " ZnO thin films were utilized extensively in the fabrication of ME composites as the piezoelectric constituent, in diverse device architectures ranging from cantilevers, surface acoustic waves (SAW) and bulk acoustic waves (BAW) devices, to MEMS FBAR and microcantilever sensors.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[4]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 296, "edu_l1_label": "IOS"}, {"txt": " In addition, thin-film characterization methods such as XRD and GIXRD have enabled us to assess magnetostrictive strain at the atomic scale, something that can be leveraged extensively in ME research beyond ZnO.", "language": "english", "position": {"atoms": [{"position_id": 4298, "txt": " In addition, thin-film characterization methods such as XRD and GIXRD have enabled us to assess magnetostrictive strain at the atomic scale, something that can be leveraged extensively in ME research beyond ZnO.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[4]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 297, "edu_l1_label": "IOS"}, {"txt": " Furthermore, the doping of pure ZnO films can induce ferromagnetic properties with an enhanced magnetoelectric response, while suitable co-doping results in ferroelectric and ferromagnetic phenomena that can simultaneously exist in ZnO thin films.", "language": "english", "position": {"atoms": [{"position_id": 4299, "txt": " Furthermore, the doping of pure ZnO films can induce ferromagnetic properties with an enhanced magnetoelectric response, while suitable co-doping results in ferroelectric and ferromagnetic phenomena that can simultaneously exist in ZnO thin films.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[4]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 298, "edu_l1_label": "IOS"}, {"txt": " ZnO micro- and nanorod composites, on the other hand, constitute the most promising route for ME composites based on ZnO.", "language": "english", "position": {"atoms": [{"position_id": 4300, "txt": " ZnO micro- and nanorod composites, on the other hand, constitute the most promising route for ME composites based on ZnO.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[4]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 299, "edu_l1_label": "IOS"}, {"txt": " This is supported by the fact that there is already substantial research around the basic electronic and structural properties of these structures, and by combining them with advanced magnetostrictive materials, this can lead to novel architectures suitable for sensing, biomedical applications and energy harvesting, in conjunction with the introduction of new effects stemming from the interaction between ferromagnetism, photoexcitation, piezoelectricity and semiconducting phenomena.", "language": "english", "position": {"atoms": [{"position_id": 4301, "txt": " This is supported by the fact that there is already substantial research around the basic electronic and structural properties of these structures, and by combining them with advanced magnetostrictive materials, this can lead to novel architectures suitable for sensing, biomedical applications and energy harvesting, in conjunction with the introduction of new effects stemming from the interaction between ferromagnetism, photoexcitation, piezoelectricity and semiconducting phenomena.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[1]/section[4]/div[1]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 300, "edu_l1_label": "IOS"}, {"txt": "Further research into the combination of magnetostrictive materials with ZnO nanostructures, especially micro- and nanorods, will pave the way for a new generation of devices able to detect extremely low magnetics fields suitable for portable 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{"txt": "Conceptualization, A.B. and C.T.; methodology, A.B. and C.T.; writing—original draft preparation, A.B.; writing—review and editing, A.B., A.K. and C.T.; visualization, A.B.; funding acquisition, C.T. 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All authors have read and agreed to the published version of the manuscript.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[1]/div"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 303, "edu_l1_label": "EDU_O"}, {"txt": "Funding", "language": "english", "position": {"atoms": [{"position_id": 4309, "txt": "Funding", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[2]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 74, "global_sentence_id": 304, "edu_l1_label": "EDU_O"}, {"txt": "This research is co-financed by Greece and the European Union (European Social Fund-ESF) through the Operational Program «Human Resources Development, Education and Lifelong Learning» in the context of the project “Strengthening Human Resources Research Potential via Doctorate Research–2nd Cycle” (MIS-5000432), implemented by the State Scholarships Foundation (ΙΚΥ).", "language": "english", "position": {"atoms": [{"position_id": 4311, "txt": "This research is co-financed by Greece and the European Union (European Social Fund-ESF) through the Operational Program «Human Resources Development, Education and Lifelong Learning» in the context of the project “Strengthening Human Resources Research Potential via Doctorate Research–2nd Cycle” (MIS-5000432), implemented by the State Scholarships Foundation (ΙΚΥ).", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[2]/div"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 305, "edu_l1_label": "EDU_O"}, {"txt": "Institutional Review Board Statement", "language": "english", "position": {"atoms": [{"position_id": 4313, "txt": "Institutional Review Board Statement", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[3]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 76, "global_sentence_id": 306, "edu_l1_label": "EDU_O"}, {"txt": "Not applicable.", "language": "english", "position": {"atoms": [{"position_id": 4315, "txt": "Not applicable.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[3]/div"}]}, "tags": [], "label": "content", "web_segment_id": 77, "global_sentence_id": 307, "edu_l1_label": "EDU_O"}, {"txt": "Informed Consent Statement", "language": "english", "position": {"atoms": [{"position_id": 4317, "txt": "Informed Consent Statement", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[4]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 78, "global_sentence_id": 308, "edu_l1_label": "EDU_O"}, {"txt": "Not applicable.", "language": "english", "position": {"atoms": [{"position_id": 4319, "txt": "Not applicable.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[4]/div"}]}, "tags": [], "label": "content", "web_segment_id": 79, "global_sentence_id": 309, "edu_l1_label": "EDU_O"}, {"txt": "Data Availability Statement", "language": "english", "position": {"atoms": [{"position_id": 4321, "txt": "Data Availability Statement", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[5]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 80, "global_sentence_id": 310, "edu_l1_label": "EDU_O"}, {"txt": "Not applicable.", "language": "english", "position": {"atoms": [{"position_id": 4323, "txt": "Not applicable.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[5]/div"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 311, "edu_l1_label": "EDU_O"}, {"txt": "Acknowledgments", "language": "english", "position": {"atoms": [{"position_id": 4325, "txt": "Acknowledgments", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[6]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 82, "global_sentence_id": 312, "edu_l1_label": "EDU_O"}, {"txt": "The authors acknowledge A. Segkos for a thorough reading of the manuscript.", "language": "english", "position": {"atoms": [{"position_id": 4327, "txt": "The authors acknowledge A. Segkos for a thorough reading of the manuscript.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[6]/div"}]}, "tags": [], "label": "content", "web_segment_id": 83, "global_sentence_id": 313, "edu_l1_label": "EDU_O"}, {"txt": "Conflicts of Interest", "language": "english", "position": {"atoms": [{"position_id": 4329, "txt": "Conflicts of Interest", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[7]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 84, "global_sentence_id": 314, "edu_l1_label": "EDU_O"}, {"txt": "The authors declare no conflict of interest.", "language": "english", "position": {"atoms": [{"position_id": 4331, "txt": "The authors declare no conflict of interest.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[7]/div"}]}, "tags": [], "label": "content", "web_segment_id": 85, "global_sentence_id": 315, "edu_l1_label": "EDU_O"}, {"txt": "References", "language": "english", "position": {"atoms": [{"position_id": 4333, "txt": "References", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[8]/h2"}]}, "tags": ["h2"], "label": "reference", "web_segment_id": 86, "global_sentence_id": 316, "edu_l1_label": "EDU_O"}, {"txt": "Astrov, D.N. 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(a) Schematic representation of a magnetoelectric SAW device, showing the ZnO piezoelectric layer, the magnetostrictive Metglas substrate and the interdigitated electrodes; (b) effect of the external magnetic field on the central frequency of the ZnO/Metglas heterostructure, along with the calculated frequency sensitivity.", "language": "english", "position": {"atoms": [{"position_id": 7077, "txt": "Figure 3.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[1]/b[1]"}, {"position_id": 7079, "txt": " (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[1]/b[1]"}, {"position_id": 7081, "txt": "a", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[1]/b[2]"}, {"position_id": 7083, "txt": ") Schematic representation of a magnetoelectric SAW device, showing the ZnO piezoelectric layer, the magnetostrictive Metglas substrate and the interdigitated electrodes; (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[1]/b[2]"}, {"position_id": 7085, "txt": "b", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[1]/b[3]"}, {"position_id": 7087, "txt": ") effect of the external magnetic field on the central frequency of the ZnO/Metglas heterostructure, along with the calculated frequency sensitivity.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[1]/b[3]"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 198, "global_sentence_id": 796, "edu_l1_label": "EDU_O"}, {"txt": " Reproduced with permission from [52].", "language": "english", "position": {"atoms": [{"position_id": 7088, "txt": " Reproduced with permission from [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[1]/b[3]"}, {"position_id": 7090, "txt": "52", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[1]/a"}, {"position_id": 7092, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[1]/a"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 198, "global_sentence_id": 797, "edu_l1_label": "EDU_O"}, {"txt": " Copyright [2016], AIP Publishing.", "language": "english", "position": {"atoms": [{"position_id": 7093, "txt": " Copyright [2016], AIP Publishing.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[1]/a"}]}, "tags": [], "label": "figure_title", "web_segment_id": 198, "global_sentence_id": 798, "edu_l1_label": "EDU_O"}, {"txt": "<img img", "language": "english", "position": {"atoms": [{"position_id": 1853, "txt": "<img img", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[3]/div[2]/a/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 199, "global_sentence_id": 799, "edu_l1_label": "EDU_O"}, {"txt": "Figure 4. 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(a,b) Ferroelectric polarization vs. electric fields loops for pure ZnO and Ni-doped ZnO showing reversible polarization for the Ni-doped thin film; (c–e) magnetoelectric response of Li-, Ni- and Mg-doped ZnO thin films vs. an external DC magnetic field.", "language": "english", "position": {"atoms": [{"position_id": 7171, "txt": "Figure 5.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[1]"}, {"position_id": 7173, "txt": " (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[1]"}, {"position_id": 7175, "txt": "a", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[2]"}, {"position_id": 7177, "txt": ",", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[2]"}, {"position_id": 7179, "txt": "b", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[3]"}, {"position_id": 7181, "txt": ") Ferroelectric polarization vs. electric fields loops for pure ZnO and Ni-doped ZnO showing reversible polarization for the Ni-doped thin film; (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[3]"}, {"position_id": 7183, "txt": "c", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[4]"}, {"position_id": 7185, "txt": "–", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[4]"}, {"position_id": 7187, "txt": "e", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[5]"}, {"position_id": 7189, "txt": ") magnetoelectric response of Li-, Ni- and Mg-doped ZnO thin films vs. an external DC magnetic field.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[5]"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 202, "global_sentence_id": 806, "edu_l1_label": "EDU_O"}, {"txt": " Reproduced with permission from [68].", "language": "english", "position": {"atoms": [{"position_id": 7190, "txt": " Reproduced with permission from [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/b[5]"}, {"position_id": 7192, "txt": "68", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/a"}, {"position_id": 7194, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/a"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 202, "global_sentence_id": 807, "edu_l1_label": "EDU_O"}, {"txt": " Copyright [2014], Elsevier.", "language": "english", "position": {"atoms": [{"position_id": 7195, "txt": " Copyright [2014], Elsevier.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[1]/a"}]}, "tags": [], "label": "figure_title", "web_segment_id": 202, "global_sentence_id": 808, "edu_l1_label": "EDU_O"}, {"txt": "<img img", "language": "english", "position": {"atoms": [{"position_id": 1887, "txt": "<img img", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[5]/div[2]/a/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 203, "global_sentence_id": 809, "edu_l1_label": "EDU_O"}, {"txt": "Figure 6. 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(a) Schematic representation of a 2-2 ME composite sensor during oscillation via an externally applied magnetic field; (b) SEM image of a hexagonal ZnO micro needle; (c) ZnO micro needle ME sensor with Ag and Al/Au/Ag contacts on an FeCoSiB cantilever; (d) Piezotronic (green) and piezoelectric (blue) measurements of an Ag/ZnO/Al/Au/Ag ME sensor in reverse bias at a resonant frequency of 79.4 Hz and a magnetic field of 0.6 mT; (e) I–V characteristics of an Ag/ZnO/Al/Au/Ag ME sensor.", "language": "english", "position": {"atoms": [{"position_id": 7275, "txt": "Figure 8.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[8]/div[1]/b[1]"}, {"position_id": 7277, "txt": " (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[8]/div[1]/b[1]"}, {"position_id": 7279, "txt": "a", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[8]/div[1]/b[2]"}, {"position_id": 7281, "txt": ") Schematic representation of a 2-2 ME composite sensor during oscillation via an externally applied magnetic field; 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"EDU_O"}, {"txt": " Inset shows the linear relationship between the ME voltage and the applied AC magnetic field in the transverse and longitudinal directions.", "language": "english", "position": {"atoms": [{"position_id": 7370, "txt": " Inset shows the linear relationship between the ME voltage and the applied AC magnetic field in the transverse and longitudinal directions.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/sub[8]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 210, "global_sentence_id": 827, "edu_l1_label": "EDU_O"}, {"txt": " (a,b,d) reproduced with permission from [90].", "language": "english", "position": {"atoms": [{"position_id": 7371, "txt": " (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/sub[8]"}, {"position_id": 7373, "txt": "a", "x": 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"txt": "90", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/a[1]"}, {"position_id": 7387, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/a[1]"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 210, "global_sentence_id": 828, "edu_l1_label": "EDU_O"}, {"txt": " Copyright [2019], Elsevier.", "language": "english", "position": {"atoms": [{"position_id": 7388, "txt": " Copyright [2019], Elsevier.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/a[1]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 210, "global_sentence_id": 829, "edu_l1_label": "EDU_O"}, {"txt": " (c,e) reproduced with permission from [32].", "language": "english", "position": {"atoms": [{"position_id": 7389, "txt": " (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/a[1]"}, {"position_id": 7391, "txt": "c", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/b[12]"}, {"position_id": 7393, "txt": ",", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/b[12]"}, {"position_id": 7395, "txt": "e", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/b[13]"}, {"position_id": 7397, "txt": ") reproduced with permission from [", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/b[13]"}, {"position_id": 7399, "txt": "32", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/a[2]"}, {"position_id": 7401, "txt": "].", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/a[2]"}]}, "tags": ["b"], "label": "figure_title", "web_segment_id": 210, "global_sentence_id": 830, "edu_l1_label": "EDU_O"}, {"txt": " Copyright [2019], Elsevier.", "language": "english", "position": {"atoms": [{"position_id": 7402, "txt": " Copyright [2019], Elsevier.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[1]/a[2]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 210, "global_sentence_id": 831, "edu_l1_label": "EDU_O"}, {"txt": "<img img", "language": "english", "position": {"atoms": [{"position_id": 1955, "txt": "<img img", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[9]/div[2]/a/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 211, "global_sentence_id": 832, "edu_l1_label": "EDU_O"}, {"txt": "Table 1. Summary of ZnO based magnetoelectric composites.", "language": "english", "position": {"atoms": [{"position_id": 7404, "txt": "Table 1.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[10]/div[1]/b"}, {"position_id": 7406, "txt": " Summary of ZnO based magnetoelectric composites.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[10]/div[1]/b"}]}, "tags": ["b"], "label": "table_title", "web_segment_id": 212, "global_sentence_id": 833, "edu_l1_label": "EDU_O"}, {"txt": "<table <table position_id=\"1959\"><thead position_id=\"1960\"><tr position_id=\"1961\"><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1962\"/><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1963\">Technology Process</th><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1964\">Structure</th><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1965\">Magnetostrictive Phase</th><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1966\">Sensitivity *</th><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1967\">Ref.</th></tr></thead><tbody position_id=\"1968\"><tr position_id=\"1969\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" rowspan=\"6\" valign=\"middle\" position_id=\"1970\">ZnO thin film</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1971\">PLD</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1972\">Cantilever</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1973\">Fe<sub position_id=\"1974\">74.4</sub>Co<sub position_id=\"1975\">21.6</sub>Si<sub position_id=\"1976\">0.5</sub>B<sub position_id=\"1977\">3.3</sub>Mn<sub position_id=\"1978\">0.1</sub>C<sub position_id=\"1979\">0.1</sub></td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1980\">47 mV/cm Oe</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1981\">[<a class=\"html-bibr\" href=\"#B45-applsci-13-08378\" position_id=\"1982\">45</a>]</td></tr><tr position_id=\"1983\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1984\">ZnO thin film</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1985\">BAW</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1986\">Yttrium iron garnet</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1987\">Δf~0.25 MHz</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1988\">[<a class=\"html-bibr\" href=\"#B51-applsci-13-08378\" position_id=\"1989\">51</a>]</td></tr><tr position_id=\"1990\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1991\">Sputtering</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1992\">FBAR</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1993\">Fe<sub position_id=\"1994\">65</sub>Co<sub position_id=\"1995\">35</sub></td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1996\">Δf~7 MHz</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1997\">[<a class=\"html-bibr\" href=\"#B55-applsci-13-08378\" position_id=\"1998\">55</a>]</td></tr><tr position_id=\"1999\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2000\">Sputtering</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2001\">FBAR</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2002\">Fe<sub position_id=\"2003\">65</sub>Co<sub position_id=\"2004\">35</sub></td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2005\">Δf~106 MHz</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2006\">[<a class=\"html-bibr\" href=\"#B56-applsci-13-08378\" position_id=\"2007\">56</a>]</td></tr><tr position_id=\"2008\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2009\">Sputtering</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2010\">MEMS<br position_id=\"2011\"/>Cantilevers</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2012\">FeCo</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2013\">57.6 mV/Gauss<br position_id=\"2014\"/>(10.45 kHz)</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2015\">[<a class=\"html-bibr\" href=\"#B58-applsci-13-08378\" position_id=\"2016\">58</a>]</td></tr><tr position_id=\"2017\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2018\">Spin-spray</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2019\">Thin film</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2020\">Fe<sub position_id=\"2021\">3</sub>O<sub position_id=\"2022\">4</sub><br position_id=\"2023\"/>(spin-spray)</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2024\">1.5 × 10<sup position_id=\"2025\">−4</sup> Oe cm k/V</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2026\">[<a class=\"html-bibr\" href=\"#B59-applsci-13-08378\" position_id=\"2027\">59</a>]</td></tr><tr position_id=\"2028\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" rowspan=\"4\" valign=\"middle\" position_id=\"2029\">ZnO <br position_id=\"2030\"/>micro/nano rods</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2031\">Electrochemical<br position_id=\"2032\"/>deposition</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2033\">Nanorod<br position_id=\"2034\"/>Composite</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2035\">Ni<sub position_id=\"2036\">75</sub>Fe<sub position_id=\"2037\">25</sub><br position_id=\"2038\"/>(DC sputtering)</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2039\">0.34–0.48 mV/cm Oe</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2040\">[<a class=\"html-bibr\" href=\"#B74-applsci-13-08378\" position_id=\"2041\">74</a>]</td></tr><tr position_id=\"2042\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2043\">MVLS</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2044\">Core-shell</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2045\">FeCoBSi<br position_id=\"2046\"/>(RF sputtering)</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2047\">-</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2048\">[<a class=\"html-bibr\" href=\"#B26-applsci-13-08378\" position_id=\"2049\">26</a>]</td></tr><tr position_id=\"2050\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2051\">FTS</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2052\">Microrod<br position_id=\"2053\"/>Composite</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2054\">(Fe<sub position_id=\"2055\">90</sub>Co<sub position_id=\"2056\">10</sub>)<sub position_id=\"2057\">78</sub>Si<sub position_id=\"2058\">12</sub>B<sub position_id=\"2059\">10</sub></td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2060\">-</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2061\">[<a class=\"html-bibr\" href=\"#B80-applsci-13-08378\" position_id=\"2062\">80</a>]</td></tr><tr position_id=\"2063\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2064\">FTS</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2065\">Microrod<br position_id=\"2066\"/>Composite</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2067\">FeCoSiB<br position_id=\"2068\"/>(Metglas 260SA1)</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2069\">380 pT Hz<sup position_id=\"2070\">1/2</sup></td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2071\">[<a class=\"html-bibr\" href=\"#B36-applsci-13-08378\" position_id=\"2072\">36</a>]</td></tr><tr position_id=\"2073\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" rowspan=\"3\" valign=\"middle\" position_id=\"2074\">ZnO nanocomposite</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2075\">ZnO NPs</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2076\">Nanocomposite</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2077\">Co doped</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2078\">8.65 mV/cm Oe</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2079\">[<a class=\"html-bibr\" href=\"#B89-applsci-13-08378\" position_id=\"2080\">89</a>]</td></tr><tr position_id=\"2081\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2082\">ZnO NPs</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2083\">Nanocomposite</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2084\">Mg doped</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2085\">4.13 mV/cm Oe</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2086\">[<a class=\"html-bibr\" href=\"#B90-applsci-13-08378\" position_id=\"2087\">90</a>]</td></tr><tr position_id=\"2088\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2089\">ZnO NPs</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2090\">Nanocomposite</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2091\">NiFe<sub position_id=\"2092\">2</sub>O<sub position_id=\"2093\">4</sub> NPs</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2094\">3.7–8 mV/cm Oe</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2095\">[<a class=\"html-bibr\" href=\"#B32-applsci-13-08378\" position_id=\"2096\">32</a>]</td></tr></tbody></table>", "language": "english", "position": {"atoms": [{"position_id": 1959, "txt": "<table <table position_id=\"1959\"><thead position_id=\"1960\"><tr position_id=\"1961\"><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1962\"/><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1963\">Technology Process</th><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1964\">Structure</th><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1965\">Magnetostrictive Phase</th><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1966\">Sensitivity *</th><th style=\"border-top:solid thin;border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1967\">Ref.</th></tr></thead><tbody position_id=\"1968\"><tr position_id=\"1969\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" rowspan=\"6\" valign=\"middle\" position_id=\"1970\">ZnO thin film</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1971\">PLD</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1972\">Cantilever</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1973\">Fe<sub position_id=\"1974\">74.4</sub>Co<sub position_id=\"1975\">21.6</sub>Si<sub position_id=\"1976\">0.5</sub>B<sub position_id=\"1977\">3.3</sub>Mn<sub position_id=\"1978\">0.1</sub>C<sub position_id=\"1979\">0.1</sub></td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1980\">47 mV/cm Oe</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1981\">[<a class=\"html-bibr\" href=\"#B45-applsci-13-08378\" position_id=\"1982\">45</a>]</td></tr><tr position_id=\"1983\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1984\">ZnO thin film</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1985\">BAW</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1986\">Yttrium iron garnet</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1987\">Δf~0.25 MHz</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1988\">[<a class=\"html-bibr\" href=\"#B51-applsci-13-08378\" position_id=\"1989\">51</a>]</td></tr><tr position_id=\"1990\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1991\">Sputtering</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1992\">FBAR</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1993\">Fe<sub position_id=\"1994\">65</sub>Co<sub position_id=\"1995\">35</sub></td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1996\">Δf~7 MHz</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"1997\">[<a class=\"html-bibr\" href=\"#B55-applsci-13-08378\" position_id=\"1998\">55</a>]</td></tr><tr position_id=\"1999\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2000\">Sputtering</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2001\">FBAR</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2002\">Fe<sub position_id=\"2003\">65</sub>Co<sub position_id=\"2004\">35</sub></td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2005\">Δf~106 MHz</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2006\">[<a class=\"html-bibr\" href=\"#B56-applsci-13-08378\" position_id=\"2007\">56</a>]</td></tr><tr position_id=\"2008\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2009\">Sputtering</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2010\">MEMS<br position_id=\"2011\"/>Cantilevers</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2012\">FeCo</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2013\">57.6 mV/Gauss<br position_id=\"2014\"/>(10.45 kHz)</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2015\">[<a class=\"html-bibr\" href=\"#B58-applsci-13-08378\" position_id=\"2016\">58</a>]</td></tr><tr position_id=\"2017\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2018\">Spin-spray</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2019\">Thin film</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2020\">Fe<sub position_id=\"2021\">3</sub>O<sub position_id=\"2022\">4</sub><br position_id=\"2023\"/>(spin-spray)</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2024\">1.5 × 10<sup position_id=\"2025\">−4</sup> Oe cm k/V</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2026\">[<a class=\"html-bibr\" href=\"#B59-applsci-13-08378\" position_id=\"2027\">59</a>]</td></tr><tr position_id=\"2028\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" rowspan=\"4\" valign=\"middle\" position_id=\"2029\">ZnO <br position_id=\"2030\"/>micro/nano rods</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2031\">Electrochemical<br position_id=\"2032\"/>deposition</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2033\">Nanorod<br position_id=\"2034\"/>Composite</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2035\">Ni<sub position_id=\"2036\">75</sub>Fe<sub position_id=\"2037\">25</sub><br position_id=\"2038\"/>(DC sputtering)</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2039\">0.34–0.48 mV/cm Oe</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2040\">[<a class=\"html-bibr\" href=\"#B74-applsci-13-08378\" position_id=\"2041\">74</a>]</td></tr><tr position_id=\"2042\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2043\">MVLS</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2044\">Core-shell</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2045\">FeCoBSi<br position_id=\"2046\"/>(RF sputtering)</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2047\">-</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2048\">[<a class=\"html-bibr\" href=\"#B26-applsci-13-08378\" position_id=\"2049\">26</a>]</td></tr><tr position_id=\"2050\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2051\">FTS</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2052\">Microrod<br position_id=\"2053\"/>Composite</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2054\">(Fe<sub position_id=\"2055\">90</sub>Co<sub position_id=\"2056\">10</sub>)<sub position_id=\"2057\">78</sub>Si<sub position_id=\"2058\">12</sub>B<sub position_id=\"2059\">10</sub></td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2060\">-</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2061\">[<a class=\"html-bibr\" href=\"#B80-applsci-13-08378\" position_id=\"2062\">80</a>]</td></tr><tr position_id=\"2063\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2064\">FTS</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2065\">Microrod<br position_id=\"2066\"/>Composite</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2067\">FeCoSiB<br position_id=\"2068\"/>(Metglas 260SA1)</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2069\">380 pT Hz<sup position_id=\"2070\">1/2</sup></td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2071\">[<a class=\"html-bibr\" href=\"#B36-applsci-13-08378\" position_id=\"2072\">36</a>]</td></tr><tr position_id=\"2073\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" rowspan=\"3\" valign=\"middle\" position_id=\"2074\">ZnO nanocomposite</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2075\">ZnO NPs</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2076\">Nanocomposite</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2077\">Co doped</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2078\">8.65 mV/cm Oe</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2079\">[<a class=\"html-bibr\" href=\"#B89-applsci-13-08378\" position_id=\"2080\">89</a>]</td></tr><tr position_id=\"2081\"><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2082\">ZnO NPs</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2083\">Nanocomposite</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2084\">Mg doped</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2085\">4.13 mV/cm Oe</td><td align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2086\">[<a class=\"html-bibr\" href=\"#B90-applsci-13-08378\" position_id=\"2087\">90</a>]</td></tr><tr position_id=\"2088\"><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2089\">ZnO NPs</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2090\">Nanocomposite</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2091\">NiFe<sub position_id=\"2092\">2</sub>O<sub position_id=\"2093\">4</sub> NPs</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2094\">3.7–8 mV/cm Oe</td><td style=\"border-bottom:solid thin\" align=\"center\" class=\"html-align-center\" valign=\"middle\" position_id=\"2095\">[<a class=\"html-bibr\" href=\"#B32-applsci-13-08378\" position_id=\"2096\">32</a>]</td></tr></tbody></table>", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[9]/div[10]/table"}]}, "tags": ["table"], "label": "table", "web_segment_id": 213, "global_sentence_id": 834, "edu_l1_label": "EDU_O"}, {"txt": "* Sensitivity is used as a term to summarize the magnitude of the magnetoelectric effect due to the fact that different coefficients and figures of merit are used for each composite category in the literature.", "language": "english", "position": {"atoms": 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MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.</div></td></tr></tbody></table>", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[10]/table"}]}, "tags": ["table"], "label": "table", "web_segment_id": 215, "global_sentence_id": 836, "edu_l1_label": "EDU_O"}, {"txt": "© 2023 by the authors.", "language": "english", "position": {"atoms": [{"position_id": 7410, "txt": "© 2023 by the authors.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[11]/br"}]}, "tags": ["br"], "label": "O", "web_segment_id": 216, "global_sentence_id": 837, "edu_l1_label": "EDU_O"}, {"txt": " Licensee MDPI, Basel, Switzerland.", "language": "english", "position": {"atoms": [{"position_id": 7411, "txt": " Licensee MDPI, Basel, Switzerland.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[11]/br"}]}, "tags": ["br"], "label": "O", "web_segment_id": 216, "global_sentence_id": 838, "edu_l1_label": "EDU_O"}, {"txt": " This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (", "language": "english", "position": {"atoms": [{"position_id": 7412, "txt": " This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[11]/br"}]}, "tags": ["br"], "label": "O", "web_segment_id": 216, "global_sentence_id": 839, "edu_l1_label": "EDU_O"}, {"txt": "https://creativecommons.org/licenses/by/4.0/).", "language": "english", "position": {"atoms": [{"position_id": 7414, "txt": "https://creativecommons.org/licenses/by/4.0/", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[11]/a"}, {"position_id": 7416, "txt": ").", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[12]/div[2]/section[11]/a"}]}, "tags": [], "label": "O", "web_segment_id": 217, "global_sentence_id": 840, "edu_l1_label": "EDU_O"}, {"txt": "Share and Cite", "language": "english", "position": {"atoms": [{"position_id": 7418, "txt": "Share and Cite", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[13]/h2[1]/a"}]}, "tags": ["h2"], "label": "reference", "web_segment_id": 218, "global_sentence_id": 841, "edu_l1_label": "EDU_O"}, {"txt": "MDPI and ACS Style", "language": "english", "position": {"atoms": [{"position_id": 7420, "txt": "MDPI and ACS Style", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[13]/div[2]/div[1]/b"}]}, "tags": ["b"], "label": "reference", "web_segment_id": 220, "global_sentence_id": 842, "edu_l1_label": "EDU_O"}, {"txt": "Bardakas, A.; Kaidatzis, A.; Tsamis, C. 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", "language": "english", "position": {"atoms": [{"position_id": 7792, "txt": "here", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[13]/div[4]/div[2]/div/a"}, {"position_id": 7794, "txt": ". ", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[13]/div[4]/div[2]/div/a"}]}, "tags": [], "label": "O", "web_segment_id": 244, "global_sentence_id": 964, "edu_l1_label": "EDU_O"}, {"txt": "Multiple requests from the same IP address are counted as one view.", "language": "english", "position": {"atoms": [{"position_id": 7796, "txt": "Multiple requests from the same IP address are counted as one view.", "x": "/html/body/div[8]/section/div/div/div[2]/div[2]/div/div/div[2]/article/div/div[13]/div[4]/div[2]/div/div[2]"}]}, "tags": [], "label": "O", "web_segment_id": 245, "global_sentence_id": 965, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# A Review of Magnetoelectric Composites Based on ZnO Nanostructures ## Abstract ## 1. Introduction ## 2. Magnetoelectric (ME) Effect ## 3. ZnO Magnetoelectric Composites ### 3.1. Thin Films #### 3.1.1. Pure ZnO Thin Films #### 3.1.2. Doped ZnO Thin Films ### 3.2. ZnO Micro- and Nano-Rods ### 3.3. ZnO Nanocomposites ### 3.4. Discussion ## 4. Conclusions
6e24d5ef-da21-449e-a56c-5ec31fdb4713
web
test/raw_web_htmls/6e24d5ef-da21-449e-a56c-5ec31fdb4713.html
https://www.163.com/dy/article/JQ25N49A0514R9P4.html
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{"txt": "Manus采用的是邀请体验机制,由于数额有限,很快出现了二手交易平台上邀请码价格开价超5万的现象。", "language": "chinese", "position": {"atoms": [{"position_id": 385, "txt": "Manus采用的是邀请体验机制,由于数额有限,很快出现了二手交易平台上邀请码价格开价超5万的现象。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 2, "global_sentence_id": 3, "edu_l1_label": "IOS"}, {"txt": "但经过一天的时间,对于Manus的评论开始出现两极。", "language": "chinese", "position": {"atoms": [{"position_id": 386, "txt": "但经过一天的时间,对于Manus的评论开始出现两极。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 2, "global_sentence_id": 4, "edu_l1_label": "IOS"}, {"txt": "有人批评公司“以邀请码为噱头,营销味太重”,但也有人为Manus的局部创新点赞。", "language": "chinese", "position": {"atoms": [{"position_id": 387, "txt": "有人批评公司“以邀请码为噱头,营销味太重”,但也有人为Manus的局部创新点赞。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 2, "global_sentence_id": 5, "edu_l1_label": "IOS"}, {"txt": 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"值得一提的是,Manus这次的出场方式非常“GPT”,它采用和OpenAI新品发布类似的方式,一段4分钟的视频介绍了这款AI Agent的功能。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "在Manus AI的介绍视频中,Manus AI联合创始人兼首席科学家季逸超表示,当其他人工智能只是在产生想法时,Manus交付成果。", "language": "chinese", "position": {"atoms": [{"position_id": 398, "txt": "在Manus AI的介绍视频中,Manus AI联合创始人兼首席科学家季逸超表示,当其他人工智能只是在产生想法时,Manus交付成果。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "Manus可以筛选简历、挑选房产和分析股票,即使用户关闭设备,Manus依然可以在云上继续工作,并在完成后提供结果。", "language": "chinese", "position": {"atoms": [{"position_id": 400, "txt": "Manus可以筛选简历、挑选房产和分析股票,即使用户关闭设备,Manus依然可以在云上继续工作,并在完成后提供结果。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "在筛选简历案例中,Manus可以解压文件、逐页浏览每份简历、在文件中记录重要信息、在云中异步工作,用户可以随时关闭电脑,一切任务完成后Manus再通知用户。", "language": "chinese", "position": {"atoms": [{"position_id": 401, "txt": "在筛选简历案例中,Manus可以解压文件、逐页浏览每份简历、在文件中记录重要信息、在云中异步工作,用户可以随时关闭电脑,一切任务完成后Manus再通知用户。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "在评估通用人工智能助手解决现实问题的GAIA基准中,Manus在三个难度级别中全部超越了OpenAl在今年2月上线的DeepResearch。", "language": "chinese", "position": {"atoms": [{"position_id": 403, "txt": "在评估通用人工智能助手解决现实问题的GAIA基准中,Manus在三个难度级别中全部超越了OpenAl在今年2月上线的DeepResearch。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "“感觉好多人都快失业了。”", "language": "chinese", "position": {"atoms": [{"position_id": 405, "txt": "“感觉好多人都快失业了。”", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "Hugging Face研究工程师赵浩君看到筛选简历的案例后表示,能提高一点效率,就会少很多岗位。", "language": "chinese", "position": {"atoms": [{"position_id": 406, "txt": "Hugging Face研究工程师赵浩君看到筛选简历的案例后表示,能提高一点效率,就会少很多岗位。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "他认为Manus的可视化效果惊艳,只要深耕一个领域,智能体都能有不错效果,但通用性目前很难实现。", "language": "chinese", "position": {"atoms": [{"position_id": 407, "txt": "他认为Manus的可视化效果惊艳,只要深耕一个领域,智能体都能有不错效果,但通用性目前很难实现。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "Manus让大众体验到调用多种工具的智能体小助手,快思慢想研究院院长、原商汤智能产业研究院创始院长田丰认为,Manus是个“有趣的创新产品思路”。", "language": "chinese", "position": {"atoms": [{"position_id": 409, "txt": "Manus让大众体验到调用多种工具的智能体小助手,快思慢想研究院院长、原商汤智能产业研究院创始院长田丰认为,Manus是个“有趣的创新产品思路”。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "随着底层大模型模块化串联,API和开源变得方便、便宜,产品层创新就会提速,涌现出更多有想法的、面向C端的工具箱。", "language": "chinese", "position": {"atoms": [{"position_id": 410, "txt": "随着底层大模型模块化串联,API和开源变得方便、便宜,产品层创新就会提速,涌现出更多有想法的、面向C端的工具箱。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "他表示,产品创新追求用户逻辑,Manus不像底层技术DeepSeek那样难实现,面对Manus的爆火,也要让子弹再飞一会儿。", "language": "chinese", "position": {"atoms": [{"position_id": 411, "txt": "他表示,产品创新追求用户逻辑,Manus不像底层技术DeepSeek那样难实现,面对Manus的爆火,也要让子弹再飞一会儿。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "远未达到DeepSeek的创新水平", "language": "chinese", "position": {"atoms": [{"position_id": 413, "txt": "远未达到DeepSeek的创新水平", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[9]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 10, "global_sentence_id": 19, "edu_l1_label": "BOS"}, {"txt": "此外,获得了邀请码并参与了Manus评测的人员们认为,Manus在信息搜集和整理方面表现出色,但在复杂任务和交互性方面仍有改进空间。", "language": "chinese", "position": {"atoms": [{"position_id": 415, "txt": "此外,获得了邀请码并参与了Manus评测的人员们认为,Manus在信息搜集和整理方面表现出色,但在复杂任务和交互性方面仍有改进空间。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 11, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "在评测过程中,参与者也遇到了访问需要登录的网站受阻、系统负载过高导致任务失败或速度缓慢、生成的游戏无法交互等问题。", "language": "chinese", "position": {"atoms": [{"position_id": 416, "txt": "在评测过程中,参与者也遇到了访问需要登录的网站受阻、系统负载过高导致任务失败或速度缓慢、生成的游戏无法交互等问题。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 11, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "参与者普遍认为,Manus产品仍处于早期阶段,需要不断优化和改进。", "language": "chinese", "position": {"atoms": [{"position_id": 418, "txt": "参与者普遍认为,Manus产品仍处于早期阶段,需要不断优化和改进。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "Manus强调智能体的自主性,中国AI团队在模型训练和产品创新方面表现出色,但竞争激烈。", "language": "chinese", "position": {"atoms": [{"position_id": 419, "txt": "Manus强调智能体的自主性,中国AI团队在模型训练和产品创新方面表现出色,但竞争激烈。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 12, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "“Manus原本就是其团队来展示产品理念和阶段性研究成果的一个Demo”,一位从事AI产品测评的人士表示,他虽然有了邀请码,但由于服务器压力无法登录,他告诉澎湃科技,虽然自己没有测试,但是他已经了解,Manus使用过程中的时间较长,从十几分钟到半小时不等。", "language": "chinese", "position": {"atoms": [{"position_id": 421, "txt": "“Manus原本就是其团队来展示产品理念和阶段性研究成果的一个Demo”,一位从事AI产品测评的人士表示,他虽然有了邀请码,但由于服务器压力无法登录,他告诉澎湃科技,虽然自己没有测试,但是他已经了解,Manus使用过程中的时间较长,从十几分钟到半小时不等。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "他认为Manus产品体验确实有创新,但技术创新没有太大跨度,并非智能体的“DeepSeek时刻”。", "language": "chinese", "position": {"atoms": [{"position_id": 422, "txt": "他认为Manus产品体验确实有创新,但技术创新没有太大跨度,并非智能体的“DeepSeek时刻”。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "目前, Manus的争议较大,评价出现了两极分化,功能被夸大,一些头部营销号带节奏、蹭流量。", "language": "chinese", "position": {"atoms": [{"position_id": 423, "txt": "目前, Manus的争议较大,评价出现了两极分化,功能被夸大,一些头部营销号带节奏、蹭流量。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "有网友甚至表示“这一批AI,最累的就是自媒体博主们”。", "language": "chinese", "position": {"atoms": [{"position_id": 425, "txt": "有网友甚至表示“这一批AI,最累的就是自媒体博主们”。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "国内明星大模型企业管理层告诉澎湃科技,头部营销号带节奏严重透支国内民众对AI行业的信任。", "language": "chinese", "position": {"atoms": [{"position_id": 426, "txt": "国内明星大模型企业管理层告诉澎湃科技,头部营销号带节奏严重透支国内民众对AI行业的信任。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "这波能活下来的AI企业都是靠技术驱动。", "language": "chinese", "position": {"atoms": [{"position_id": 427, "txt": "这波能活下来的AI企业都是靠技术驱动。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "PR(公共关系)驱动的企业是浪费各种社会资源。", "language": "chinese", "position": {"atoms": [{"position_id": 428, "txt": "PR(公共关系)驱动的企业是浪费各种社会资源。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "他呼吁行业要脚踏实地,戒掉浮躁,“跟美国友商相比,我们的资源很少,要用在支持脚踏实地的企业上,不能资源错配,不能劣币驱逐良币。”", "language": "chinese", "position": {"atoms": [{"position_id": 429, "txt": "他呼吁行业要脚踏实地,戒掉浮躁,“跟美国友商相比,我们的资源很少,要用在支持脚踏实地的企业上,不能资源错配,不能劣币驱逐良币。”", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "猎豹移动董事长兼CEO傅盛表示,Manus完全不同于DeepSeek,其本质是用工程代码实现通用智能体,“这是很难的,如果能够穷举,就不用大语言模型了,专家系统早就被证明无法实现真正的智能化。”", "language": "chinese", "position": {"atoms": [{"position_id": 431, "txt": "猎豹移动董事长兼CEO傅盛表示,Manus完全不同于DeepSeek,其本质是用工程代码实现通用智能体,“这是很难的,如果能够穷举,就不用大语言模型了,专家系统早就被证明无法实现真正的智能化。”", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "北京智源人工智能研究院此前预测,2025年更通用、更自主的智能体将重塑产品应用形态,进一步深入工作与生活场景,成为大模型产品落地的重要应用形态。", "language": "chinese", "position": {"atoms": [{"position_id": 433, "txt": "北京智源人工智能研究院此前预测,2025年更通用、更自主的智能体将重塑产品应用形态,进一步深入工作与生活场景,成为大模型产品落地的重要应用形态。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "从更强调产品概念的Agent,到更强调应用智能程度的Agentic AI,2025年将看到更多智能化程度更高、对业务流程理解更深的多智能体系统在应用侧落地。", "language": "chinese", "position": {"atoms": [{"position_id": 434, "txt": "从更强调产品概念的Agent,到更强调应用智能程度的Agentic AI,2025年将看到更多智能化程度更高、对业务流程理解更深的多智能体系统在应用侧落地。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "北京智源人工智能研究院行业研究组负责人倪贤豪表示,AI应用已经接近大规模爆发的前夜,国内外趋势一致,AI应用成熟度有所提升,“以前更多强调agnet要做得非常产品化、端到端,能够应用得非常成熟,但今年大家的思路转变过来,更多是要让它们被用起来。”", "language": "chinese", "position": {"atoms": [{"position_id": 435, "txt": "北京智源人工智能研究院行业研究组负责人倪贤豪表示,AI应用已经接近大规模爆发的前夜,国内外趋势一致,AI应用成熟度有所提升,“以前更多强调agnet要做得非常产品化、端到端,能够应用得非常成熟,但今年大家的思路转变过来,更多是要让它们被用起来。”", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 35, "edu_l1_label": "IOS"}], "type": "WEB"}
# AI“新秀”Manus评论两极分化,业内人士建议“让子弹飞一会” ## 是个“有趣的创新产品思路” ## 远未达到DeepSeek的创新水平
8b3ab457-cda3-462f-9aae-8c993966471d
web
test/raw_web_htmls/8b3ab457-cda3-462f-9aae-8c993966471d.html
https://cn.investing.com/news/economy-news/article-2756099
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"/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[2]/b/a"}, {"position_id": 530, "txt": "。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[2]/b"}]}, "tags": ["b"], "label": "O", "web_segment_id": 6, "global_sentence_id": 11, "edu_l1_label": "EDU_O"}, {"txt": "注:", "language": "chinese", "position": {"atoms": [{"position_id": 532, "txt": "注:", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 12, "edu_l1_label": "EDU_O"}, {"txt": "数据来自IT桔子投资事件库中的“新媒体”标签", "language": "chinese", "position": {"atoms": [{"position_id": 533, "txt": "数据来自IT桔子投资事件库中的“新媒体”标签", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 13, "edu_l1_label": "EDU_O"}, {"txt": 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"edu_l1_label": "IOS"}, {"txt": "5、新媒体行业的投资者以投资类企业为主", "language": "chinese", "position": {"atoms": [{"position_id": 550, "txt": "5、新媒体行业的投资者以投资类企业为主", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/p[14]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 15, "global_sentence_id": 22, "edu_l1_label": "BOS"}, {"txt": "第三方广告。", "language": "chinese", "position": {"atoms": [{"position_id": 552, "txt": "第三方广告。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[4]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "非Investing.com产品或者推荐。", "language": "chinese", "position": {"atoms": [{"position_id": 553, "txt": "非Investing.com产品或者推荐。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[4]"}]}, "tags": [], "label": "O", "web_segment_id": 16, "global_sentence_id": 24, 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"/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "如需转载引用本篇文章内容,请注明资料来源(前瞻产业研究院)。", "language": "chinese", "position": {"atoms": [{"position_id": 579, "txt": "如需转载引用本篇文章内容,请注明资料来源(前瞻产业研究院)。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 34, "edu_l1_label": "EDU_O"}, {"txt": "第三方广告。", "language": "chinese", "position": {"atoms": [{"position_id": 581, "txt": "第三方广告。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[6]"}]}, "tags": [], "label": "content", "web_segment_id": 25, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "非Investing.com产品或者推荐。", "language": "chinese", "position": {"atoms": [{"position_id": 582, "txt": "非Investing.com产品或者推荐。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[6]"}]}, "tags": [], "label": "O", "web_segment_id": 25, "global_sentence_id": 36, "edu_l1_label": "EDU_O"}, {"txt": "点击此处查看声明或者移除广告。", "language": "chinese", "position": {"atoms": [{"position_id": 583, "txt": "点击", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[6]"}, {"position_id": 585, "txt": "此处", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[6]/u/a"}, {"position_id": 587, "txt": "查看声明或者", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[6]/u"}, {"position_id": 589, "txt": "移除广告", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[6]/b/a"}, {"position_id": 591, "txt": "。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[6]/b"}]}, "tags": ["b"], "label": "O", "web_segment_id": 25, "global_sentence_id": 37, "edu_l1_label": "EDU_O"}, {"txt": "更多深度行业分析尽在【前瞻经济学人APP】,还可以与500+经济学家/资深行业研究员交流互动。", "language": "chinese", "position": {"atoms": [{"position_id": 593, "txt": "更多深度行业分析尽在【前瞻经济学人APP】,还可以与500+经济学家/资深行业研究员交流互动。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/p[23]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 38, "edu_l1_label": "EDU_O"}, {"txt": "更多企业数据、企业资讯、企业发展情况尽在【企查猫APP】,性价比最高功能最全的企业查询平台。", "language": "chinese", "position": {"atoms": [{"position_id": 594, "txt": "更多企业数据、企业资讯、企业发展情况尽在【企查猫APP】,性价比最高功能最全的企业查询平台。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/p[23]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 39, "edu_l1_label": "EDU_O"}, {"txt": "603000:", "language": "chinese", "position": {"atoms": [{"position_id": 596, "txt": "603000:", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/h2"}]}, "tags": ["h2"], "label": "O", "web_segment_id": 27, "global_sentence_id": 40, "edu_l1_label": "EDU_O"}, {"txt": "有没有遭遇空前挑战,还能否领跑大市?", "language": "chinese", "position": {"atoms": [{"position_id": 597, "txt": "有没有遭遇空前挑战,还能否领跑大市?", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/h2"}]}, "tags": ["h2"], "label": "O", "web_segment_id": 27, "global_sentence_id": 41, "edu_l1_label": "EDU_O"}, {"txt": "2024年,股市估值飙升,很多投资者开始担心还能不能继续买买买。", "language": "chinese", "position": {"atoms": [{"position_id": 599, "txt": "2024年,股市估值飙升,很多投资者开始担心还能不能继续买买买。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/p"}]}, "tags": [], "label": "O", "web_segment_id": 28, "global_sentence_id": 42, "edu_l1_label": "EDU_O"}, {"txt": "当然,市场不缺少机会,问题在于现在要想抓住这些机会,难度大增。", "language": "chinese", "position": {"atoms": [{"position_id": 600, "txt": "当然,市场不缺少机会,问题在于现在要想抓住这些机会,难度大增。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/p"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": " 不知道接下来该怎么投?", "language": "chinese", "position": {"atoms": [{"position_id": 601, "txt": " 不知道接下来该怎么投?", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/p"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "有个方法,就是参考年内领跑的投资组合,看看他们抓住了哪些有望大涨的潜力股。", "language": "chinese", "position": {"atoms": [{"position_id": 602, "txt": "有个方法,就是参考年内领跑的投资组合,看看他们抓住了哪些有望大涨的潜力股。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/p"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": " 例如,Investing.com旗下ProPicks AI,精心打造了6大投资组合,甄选了一批当前可能最值得入手的股票。", "language": "chinese", "position": {"atoms": [{"position_id": 603, "txt": " 例如,Investing.com旗下ProPicks AI,精心打造了6大投资组合,甄选了一批当前可能最值得入手的股票。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/p"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "ProPicks AI就曾挖掘出9支一度被市场冷落的股票,而年内这些股票已大涨超25%。", "language": "chinese", "position": {"atoms": [{"position_id": 604, "txt": "ProPicks AI就曾挖掘出9支一度被市场冷落的股票,而年内这些股票已大涨超25%。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/p"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": " 而且,ProPicks AI每月都会纳入一批新的潜力股,进一步抓住未来几年的潜在巨额回报。", "language": "chinese", "position": {"atoms": [{"position_id": 605, "txt": " 而且,ProPicks AI每月都会纳入一批新的潜力股,进一步抓住未来几年的潜在巨额回报。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/p"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": " 603000是否也属于这样的股票。", "language": "chinese", "position": {"atoms": [{"position_id": 606, "txt": " ", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/p"}, {"position_id": 608, "txt": "603000", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/p/span"}, {"position_id": 610, "txt": "是否也属于这样的股票。", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/p/span"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "解锁ProPicks AI,立即知晓", "language": "chinese", "position": {"atoms": [{"position_id": 612, "txt": "解锁ProPicks AI,立即知晓", "x": "/html/body/div[1]/div[2]/div[2]/div[2]/div[1]/div/div/div[1]/div[8]/div/div/div/div/div[8]/a/span[2]/span[1]"}]}, "tags": [], "label": "O", "web_segment_id": 29, "global_sentence_id": 50, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 【投资视角】启示2025:中国新媒体行业投融资及兼并重组分析(附投融资事件、产业基金和兼并重组等) ## 1、新媒体行业投融资热度有所下滑 ## 2、新媒体行业投融资处于成长阶段 ## 3、新媒体投融资集中在北京、上海、广东和浙江 ## 4、新媒体行业投融资集中互联网广告营销和技术服务 ## 5、新媒体行业的投资者以投资类企业为主 ## 6、新媒体行业的产业投资基金 ## 7、新媒体企业横向收购扩大规模 ## 8、新媒体行业投融资及兼并重组总结
e8d8e8c6-8e1b-43a5-8ef4-8ea1ced6c95a
web
test/raw_web_htmls/e8d8e8c6-8e1b-43a5-8ef4-8ea1ced6c95a.html
https://collabfund.com/blog/why-olipop-might-be-a-better-investment-than-openai/
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"edu_l1_label": "IOS"}, {"txt": " This is largely driven by the importance of entry price – achieving a 256x return is far more feasible from a $2.5M starting valuation than from $1B – as well as the path to profitability and the unit economics that pave the way.", "language": "english", "position": {"atoms": [{"position_id": 471, "txt": " This is largely driven by the importance of entry price – achieving a 256x return is far more feasible from a $2.5M starting valuation than from $1B – as well as the path to profitability and the unit economics that pave the way.", "x": "/html/body/article/section[2]/p[33]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "While OpenAI is revolutionizing industries, OLIPOP is quietly dominating its category, proving that exceptional returns don’t always come from the highest-profile companies.", "language": "english", "position": {"atoms": [{"position_id": 473, "txt": "While OpenAI is revolutionizing industries, OLIPOP is quietly dominating its category, proving that exceptional returns don’t always come from the highest-profile companies.", "x": "/html/body/article/section[2]/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": " For investors, the takeaway is clear – entry price and timing are critical, but so is recognizing opportunity in unexpected places.", "language": "english", "position": {"atoms": [{"position_id": 474, "txt": " For investors, the takeaway is clear – entry price and timing are critical, but so is recognizing opportunity in unexpected places.", "x": "/html/body/article/section[2]/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "Finally, full disclosure – Collaborative Fund is a Seed investor in OLIPOP – an investment made before I joined the team.", "language": "english", "position": {"atoms": 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# The Quiet Beverage Bet Outpacing AI Hype: How OLIPOP’s Investors Are Winning ## Comparison methodology ## OpenAI’s returns ## OLIPOP’s returns ## Future dilution ## OpenAI’s unit economics ### ChatGPT Subscriptions ### API Usage ## OLIPOP’s unit economics ## Final thoughts
b8de1385-ef44-41f8-8ea4-df19e87e09d0
web
test/raw_web_htmls/b8de1385-ef44-41f8-8ea4-df19e87e09d0.html
http://rastertragedy.com/
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"global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": " Skip the TrueType code (I included it as evidence), but be sure to develop an intuitive understanding of rendering text in color and gamma correction.", "language": "english", "position": {"atoms": [{"position_id": 509, "txt": " Skip the TrueType code (I included it as evidence), but be sure to develop an intuitive understanding of rendering text in color and gamma correction.", "x": "/html/body/div/ul[4]/li[5]/a"}]}, "tags": ["li"], "label": "content", "web_segment_id": 33, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": " The buttons below the illustrations are there to experience what under- or overcorrection does, both to the colors and the perceived stem weights.", "language": "english", "position": {"atoms": [{"position_id": 510, "txt": " The buttons below the illustrations are there to experience what under- or overcorrection does, both to the colors and the perceived stem weights.", "x": 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"english", "position": {"atoms": [{"position_id": 513, "txt": "Chapter ", "x": "/html/body/div/ul[4]/li[6]"}, {"position_id": 515, "txt": "6", "x": "/html/body/div/ul[4]/li[6]/a"}, {"position_id": 517, "txt": " defines the frequently misunderstood concept of “hinting” along with its relationships to text rendering and text layout methods, and concludes with considerations to move naïve “hinting” from “pixel popping” to computer programming.", "x": "/html/body/div/ul[4]/li[6]/a"}]}, "tags": ["li"], "label": "content", "web_segment_id": 34, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": " Once more be sure to use the buttons and “mouseovers” to see what different “hinting” strategies will do at different point sizes, screen resolutions (DPIs), and with different gamma corrections.", "language": "english", "position": {"atoms": [{"position_id": 518, "txt": " Once more be sure to use the buttons and “mouseovers” to see what different “hinting” strategies will do at different point sizes, screen resolutions (DPIs), and with different gamma corrections.", "x": "/html/body/div/ul[4]/li[6]/a"}]}, "tags": ["li"], "label": "content", "web_segment_id": 34, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": " Also once more, you may of course skip the TrueType code used towards the end of the chapter.", "language": "english", "position": {"atoms": [{"position_id": 519, "txt": " Also once more, you may of course skip the TrueType code used towards the end of the chapter.", "x": "/html/body/div/ul[4]/li[6]/a"}]}, "tags": ["li"], "label": "content", "web_segment_id": 34, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": " I have included it as evidence to demonstrate that a purportedly artistic decision “to correctly place the crossbar” can be made in computer software without the intervention of humans manually applying a plethora of delta instructions:", "language": "english", "position": {"atoms": [{"position_id": 520, "txt": " I have included it as 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"language": "english", "position": {"atoms": [{"position_id": 523, "txt": " Writing about font rendering is often—if not always—a bit of a dilemma:", "x": "/html/body/div/ul[4]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 5, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": " How technical does it have to be to convince the engineering audience that I’m not just making up all of this stuff, and how technical can it be before I completely lose the type designer audience?", "language": "english", "position": {"atoms": [{"position_id": 524, "txt": " How technical does it have to be to convince the engineering audience that I’m not just making up all of this stuff, and how technical can it be before I completely lose the type designer audience?", "x": "/html/body/div/ul[4]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 5, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": " This line is not well-defined, and I’m sure I’ve crossed it many times.", "language": "english", "position": {"atoms": [{"position_id": 525, "txt": " This line is not well-defined, and I’m sure I’ve crossed it many times.", "x": "/html/body/div/ul[4]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 5, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": " At the same time bridging that gap between intuitive art and rigorous engineering is what keeps me motivated.", "language": "english", "position": {"atoms": [{"position_id": 526, "txt": " At the same time bridging that gap between intuitive art and rigorous engineering is what keeps me motivated.", "x": "/html/body/div/ul[4]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 5, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": " It’s not about “either-or” nor “one vs the other”—it’s about both:", "language": "english", "position": {"atoms": [{"position_id": 527, "txt": " It’s not about “either-or” nor “one vs the other”—it’s about both:", "x": "/html/body/div/ul[4]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 5, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": " one and the other.", "language": "english", "position": {"atoms": [{"position_id": 528, "txt": " one ", "x": "/html/body/div/ul[4]"}, {"position_id": 530, "txt": "and", "x": "/html/body/div/em"}, {"position_id": 532, "txt": " the other.", "x": "/html/body/div/em"}]}, "tags": ["em", "li"], "label": "content", "web_segment_id": 5, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": " Hope this helps! ", "language": "english", "position": {"atoms": [{"position_id": 533, "txt": " Hope this helps! ", "x": "/html/body/div/em"}]}, "tags": ["em"], "label": "content", "web_segment_id": 5, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": " Footnotes: ", "language": "english", "position": {"atoms": [{"position_id": 535, "txt": " Footnotes: ", "x": "/html/body/div/br[2]"}]}, "tags": ["br"], "label": "O", "web_segment_id": 35, "global_sentence_id": 74, "edu_l1_label": "EDU_O"}, {"txt": "Corrected on 17 March 2011", "language": "english", "position": {"atoms": [{"position_id": 537, "txt": "Corrected on 17 March 2011", "x": "/html/body/div/ol/li[1]/a"}]}, "tags": ["li"], "label": "O", "web_segment_id": 36, "global_sentence_id": 75, "edu_l1_label": "EDU_O"}, {"txt": "Peter Karow, Intelligent FontScaling, URW Unternehmensberatung, Hamburg, Germany (undated).", "language": "english", "position": {"atoms": [{"position_id": 539, "txt": "Peter Karow, ", "x": "/html/body/div/ol/li[2]/a"}, {"position_id": 541, "txt": "Intelligent FontScaling", "x": "/html/body/div/ol/li[2]/em"}, {"position_id": 543, "txt": ", URW Unternehmensberatung, Hamburg, Germany (undated).", "x": "/html/body/div/ol/li[2]/em"}]}, "tags": ["li", "em"], "label": "O", "web_segment_id": 37, "global_sentence_id": 76, "edu_l1_label": "EDU_O"}, {"txt": " I seem to have lost or misplaced the original brochure, but that’s how I quoted said publication in my PhD thesis.", "language": "english", "position": {"atoms": [{"position_id": 544, "txt": " I seem to have lost or misplaced the original brochure, but that’s how I quoted said publication in my PhD thesis.", "x": "/html/body/div/ol/li[2]/em"}]}, "tags": ["em", "li"], "label": "O", "web_segment_id": 37, "global_sentence_id": 77, "edu_l1_label": "EDU_O"}, {"txt": "© Copyright 2009-2025 by Beat Stamm.", "language": "english", "position": {"atoms": [{"position_id": 546, "txt": "© ", "x": "/html/body/div/p[21]"}, {"position_id": 548, "txt": "Copyright", "x": "/html/body/div/p[21]/a[1]"}, {"position_id": 550, "txt": " 2009-2025 by ", "x": "/html/body/div/p[21]/a[1]"}, {"position_id": 552, "txt": "Beat Stamm", "x": "/html/body/div/p[21]/a[2]"}, {"position_id": 554, "txt": ".", "x": "/html/body/div/p[21]/a[2]"}]}, "tags": [], "label": "O", "web_segment_id": 38, "global_sentence_id": 78, "edu_l1_label": "EDU_O"}, {"txt": " All Rights Reserved.FAQs | Contact | Donate | Page last updated on 21 Jun 2018", "language": "english", "position": {"atoms": [{"position_id": 555, "txt": " All Rights Reserved.", "x": "/html/body/div/p[21]/a[2]"}, {"position_id": 557, "txt": "FAQs", "x": "/html/body/div/p[21]/a[3]"}, {"position_id": 559, "txt": " | ", "x": "/html/body/div/p[21]/a[3]"}, {"position_id": 561, "txt": "Contact", "x": "/html/body/div/p[21]/a[4]"}, {"position_id": 563, "txt": " | ", "x": "/html/body/div/p[21]/a[4]"}, {"position_id": 565, "txt": "Donate", "x": "/html/body/div/p[21]/a[5]"}, {"position_id": 567, "txt": " | Page last updated on 21 Jun 2018", "x": "/html/body/div/p[21]/a[5]"}]}, "tags": [], "label": "O", "web_segment_id": 38, "global_sentence_id": 79, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# The Raster Tragedy at Low-Resolution Revisited:Opportunities and Challenges beyond “Delta-Hinting” ## What Others are Saying: ### John Hudson, Tiro Typeworks: ### Thomas Phinney, CEO of FontLab: ### Erik Spiekermann (via Twitter), SpiekerBlog: ### Jonathan Hœfler (via Twitter), Hœfler & Co.: ## What’s New? ### 2018-06-21 ### 2011-12-07 ### 2011-09-14 #### Spun off ClearType (cf 2.2.0) and added a comparison of sub-pixel anti-aliasing methods (ClearType, CoolType, FreeType, and Quartz, cf 2.2.1) #### Added an analysis of inter-character “spacing” in DirectWrite (cf 4.2.2) and a comparison of text layout with different advance widths (cf 4.2.3) #### Revised the explanation on rendering sub-pixel anti-aliased text (ClearType) in color-on-color (cf 5.2) and its sensitivity to gamma correction (cf 5.3) ## What is this “Raster Tragedy?” ## Guide to the Reader
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https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4lPRyjl24tt24e9Y94zlW6N.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 157, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4lPRyjl24tt24e9Y94zlW6N.jpeg", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/img[2]"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 5, "global_sentence_id": 14, "edu_l1_label": "EDU_O"}, {"txt": "光明日报:", "language": "chinese", "position": {"atoms": [{"position_id": 181, "txt": "光明日报:", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[7]/a"}]}, "tags": [], "label": "title1", "web_segment_id": 8, "global_sentence_id": 15, "edu_l1_label": "BOS"}, {"txt": "政策措施落地落细,民营企业活力迸发", "language": "chinese", "position": {"atoms": [{"position_id": 182, "txt": "政策措施落地落细,民营企业活力迸发", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[7]/a"}]}, "tags": [], "label": "title1", "web_segment_id": 8, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "文章指出广大民营企业积极布局新赛道、新产业,释放出澎湃活力。", "language": "chinese", "position": {"atoms": [{"position_id": 184, "txt": "文章指出广大民营企业积极布局新赛道、新产业,释放出澎湃活力。", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "民营经济是推进中国式现代化的生力军,是高质量发展的重要基础。", "language": "chinese", "position": {"atoms": [{"position_id": 185, "txt": "民营经济是推进中国式现代化的生力军,是高质量发展的重要基础。", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "<img https://imgpai.thepaper.cn/newpai/image/1742338065149_i567C8_1742339375024.jpg?x-oss-process=image/resize,w_1024", "language": "chinese", "position": {"atoms": [{"position_id": 161, "txt": "<img https://imgpai.thepaper.cn/newpai/image/1742338065149_i567C8_1742339375024.jpg?x-oss-process=image/resize,w_1024", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/img[3]"}]}, "tags": ["img"], "label": "O", "web_segment_id": 5, "global_sentence_id": 19, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 澎湃读报丨三大央媒同日开启专栏:促进民营经济高质量发展 ## 人民日报:保持发展定力,增强发展信心 ## 新华每日电讯:政策措施落地落细,有效激发民营企业发展活力 ## 光明日报:政策措施落地落细,民营企业活力迸发
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万吨的焦化企业开工率环比降0.35%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.516, 0.199, 0.882, 0.211]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "10 月18日当周,生产资料价格指数同比降5.87%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.882, 0.199, 0.94, 0.213], [0.085, 0.214, 0.401, 0.226]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "风险提示:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.085, 0.237, 0.169, 0.249]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "国内外实体经济超预期变化;", "language": "chinese", "position": {"pdf_position": 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# 中银晨会聚焦-20241029 ## ■重点关注 ### 【宏观经济】9 月及三季度工企利润数据点评*陈琦 朱启兵。 ### 【固定收益】“特朗普交易”强化*肖成哲 张鹏 。 ### 【金融工程】主动权益基金2024 年三季度配置分析*郭策。 ### 【电子】沪电股份*苏凌瑶。 ### 【电子】韦尔股份*苏凌瑶。 ## 重点关注 ### 【宏观经济】9 月及三季度工企利润数据点评—需求端对工业企业盈利能力仍有掣肘 ### 【固定收益】“特朗普交易”强化—高频数据扫描 ### 【金融工程】主动权益基金2024 年三季度配置分析—主动权益基金加仓电力设备及新能源和非银行金融,减持电力及公用事业和有色金属 ### 【电子】沪电股份—AI 景气持续,加速布局高端产能 #### 支撑评级的要点 #### 评级面临的主要风险 ### 【电子】韦尔股份—2024Q3 业绩创新高,高阶手机CIS 持续导入,自动驾驶CIS 持续渗透 #### 支撑评级的要点 #### 评级面临的主要风险
dcc6d795-da56-45d7-b093-8c4ca59877a8
web
test/raw_web_htmls/dcc6d795-da56-45d7-b093-8c4ca59877a8.html
https://mp.weixin.qq.com/s/KDHHGtWXwbjItcjBIjHj5w
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# windows真神器,免费绿色版,低调使用! ## 简介 ## 正文 ## 描述 ### 特点描述 ## 下载方式
bd03f18a-2316-41c7-aae5-140161491c3a
web
test/raw_web_htmls/bd03f18a-2316-41c7-aae5-140161491c3a.html
https://mp.weixin.qq.com/s?__biz=Mzg2NzUxNTU1OA==&mid=2247654795&idx=5&sn=9fb40239f8a24f8e93f244d88e878509&scene=0
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{"position_id": 505, "txt": "带有社交属性,可以分享转给朋友,或转发至朋友圈", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[8]/strong"}, {"position_id": 507, "txt": "。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[8]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 48, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3sMKmQ2J0bvwcwl5U2d3oqk.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 151, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3sMKmQ2J0bvwcwl5U2d3oqk.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[9]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 49, "global_sentence_id": 13, "edu_l1_label": "EDU_O"}, {"txt": "此前不少人就呼吁,想要能把DeepSeek的答案一键分享,但夙愿未尝。", "language": "chinese", "position": {"atoms": [{"position_id": 509, "txt": "此前不少人就呼吁,想要能把DeepSeek的答案一键分享,但夙愿未尝。", "x": 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"IOS"}, {"txt": "好消息,量子位编辑就被首批灰度到了。", "language": "chinese", "position": {"atoms": [{"position_id": 532, "txt": "好消息,量子位编辑就被首批灰度到了。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[16]"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "喜大普奔,这不得实测走起?", "language": "chinese", "position": {"atoms": [{"position_id": 534, "txt": "喜大普奔,这不得实测走起?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "——", "language": "chinese", "position": {"atoms": [{"position_id": 535, "txt": "——", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "实测微信接入DeepSeek", "language": "chinese", "position": {"atoms": [{"position_id": 537, "txt": "实测微信接入DeepSeek", "x": 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"将这个问题抛给微信:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "宇树机器人最新跳舞视频,跳的是什么舞。", "language": "chinese", "position": {"atoms": [{"position_id": 559, "txt": "宇树机器人最新跳舞视频,跳的是什么舞", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[24]/strong"}, {"position_id": 561, "txt": "。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[24]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 67, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "得到的答案是:", "language": "chinese", "position": {"atoms": [{"position_id": 563, "txt": "得到的答案是:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3NIAYM3sQL0P3dOvO23jklyI.gif", "language": "chinese", "position": {"atoms": [{"position_id": 184, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3NIAYM3sQL0P3dOvO23jklyI.gif", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[26]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 69, "global_sentence_id": 38, "edu_l1_label": "EDU_O"}, {"txt": "它的反应没有什么卡顿,输出也很快。", "language": "chinese", "position": {"atoms": [{"position_id": 565, "txt": "它的反应没有什么卡顿,输出也很快。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "首先展现了它的推理过程,经过联网搜索判定这是2025年2月14日进展,然后考虑到用户对机器人感兴趣,提供了额外的信息,最终得到了以下的答案。", "language": "chinese", "position": {"atoms": [{"position_id": 566, "txt": "首先展现了它的推理过程,经过联网搜索判定这是", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[27]"}, {"position_id": 568, "txt": "2025年2月14日", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[27]/strong"}, {"position_id": 570, "txt": "进展,然后考虑到用户对机器人感兴趣,提供了额外的信息,最终得到了以下的答案。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[27]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 70, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2jw1Q04AvKr2mmm2N2TERJF.png", "language": "chinese", "position": {"atoms": [{"position_id": 188, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2jw1Q04AvKr2mmm2N2TERJF.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[28]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 71, "global_sentence_id": 41, "edu_l1_label": "EDU_O"}, {"txt": "这里有个小bug,那就是思考过程与正式回答之间没有明显的区分,排版没有出来。", "language": "chinese", "position": {"atoms": [{"position_id": 572, "txt": "这里有个小bug,那就是思考过程与正式回答之间没有明显的区分,排版没有出来。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "不过估计是因为灰度测试不是很稳定,之后就没有问题。", "language": "chinese", "position": {"atoms": [{"position_id": 573, "txt": "不过估计是因为灰度测试不是很稳定,之后就没有问题。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "从它附上的10篇参考资料,前面7篇都来源于公众号。", "language": "chinese", "position": {"atoms": [{"position_id": 575, "txt": "从它附上的10篇参考资料,前面7篇都来源于", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[30]"}, {"position_id": 577, "txt": "公众号", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[30]/strong"}, {"position_id": 579, "txt": "。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[30]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 73, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "这也证明这个AI搜索背后有着微信庞大内容生态来支撑。", "language": "chinese", "position": {"atoms": [{"position_id": 580, "txt": "这也证明这个AI搜索背后有着微信庞大内容生态来支撑。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[30]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 73, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/MXX0B3dO1oC2Z1nVO3VUKRN.png", "language": "chinese", "position": {"atoms": [{"position_id": 193, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/MXX0B3dO1oC2Z1nVO3VUKRN.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[31]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 74, "global_sentence_id": 46, "edu_l1_label": "EDU_O"}, {"txt": "好了,基本的联网推理功能有了,那就来上些难度。", "language": "chinese", "position": {"atoms": [{"position_id": 582, "txt": "好了,基本的联网推理功能有了,那就来上些难度。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "之前大家用DeepSeek拿来整活的,无非有算命、人设创意写作等等。", "language": "chinese", "position": {"atoms": [{"position_id": 584, "txt": "之前大家用DeepSeek拿来整活的,无非有算命、人设创意写作等等。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[33]"}]}, "tags": [], "label": "content", "web_segment_id": 76, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "既然如此:", "language": "chinese", "position": {"atoms": [{"position_id": 586, "txt": "既然如此:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 77, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "请以辛弃疾的口吻,写一段以微信接入DeepSeek为主题的词。", "language": "chinese", "position": {"atoms": [{"position_id": 588, "txt": "请以辛弃疾的口吻,写一段以微信接入DeepSeek为主题的词。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/section[4]/p"}]}, "tags": [], "label": "content", "web_segment_id": 78, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "在思考结束后,它会隐藏思考过程给出正式的答案,点击也可以随时展开。", "language": "chinese", "position": {"atoms": [{"position_id": 590, "txt": "在思考结束后,它会隐藏思考过程给出正式的答案,点击也可以随时展开。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 79, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3tlPjT1xRAs9vsgcs4dhzUS.gif", "language": "chinese", "position": {"atoms": [{"position_id": 201, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3tlPjT1xRAs9vsgcs4dhzUS.gif", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[36]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 80, "global_sentence_id": 52, "edu_l1_label": "EDU_O"}, {"txt": "最后给出的答案如下:", "language": "chinese", "position": {"atoms": [{"position_id": 592, "txt": "最后给出的答案如下:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/Aij9b3ZObp83BlYh2vWYT6.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 204, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/Aij9b3ZObp83BlYh2vWYT6.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[38]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 82, "global_sentence_id": 54, "edu_l1_label": "EDU_O"}, {"txt": "在创作图的同时,还给出了注释,里面暗藏了不少玄机。", "language": "chinese", "position": {"atoms": [{"position_id": 594, "txt": "在创作图的同时,还给出了注释,里面暗藏了不少玄机。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 83, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "前半段代表着事件意义,「智开星汉」代表着双重含义,后半段透露了功能属性,比如调入微信生态数据。", "language": "chinese", "position": {"atoms": [{"position_id": 596, "txt": "前半段代表着事件意义,「智开星汉」代表着双重含义,后半段透露了功能属性,比如调入微信生态数据。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[40]"}]}, "tags": [], "label": "content", "web_segment_id": 84, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "回答完之后,它会给推荐相关问题,或者「再问一个问题」。", "language": "chinese", "position": {"atoms": [{"position_id": 598, "txt": "回答完之后,它会给推荐相关问题,或者「再问一个问题」。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 85, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2ht7n4mxcVf3YnL1alaFBS.png", "language": "chinese", "position": {"atoms": [{"position_id": 209, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2ht7n4mxcVf3YnL1alaFBS.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[42]/img[1]"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 86, "global_sentence_id": 58, "edu_l1_label": "EDU_O"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/Y3Irg3POJfmHL97O4pM9Ji.png", "language": "chinese", "position": {"atoms": [{"position_id": 211, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/Y3Irg3POJfmHL97O4pM9Ji.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[42]/img[2]"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 86, "global_sentence_id": 59, "edu_l1_label": "EDU_O"}, {"txt": "如此一来,点击一个问题或者继续提问,是可以继续一直回答下去的(但是不支持结合上文连续回答)。", "language": "chinese", "position": {"atoms": [{"position_id": 600, "txt": "如此一来,点击一个问题或者继续提问,是可以继续一直回答下去的(但是不支持结合上文连续回答)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 87, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "而且只要不跳出,所有的问答都会在同一个界面里呈现。", "language": "chinese", "position": {"atoms": [{"position_id": 602, "txt": "而且只要不跳出,所有的问答都会在同一个界面里呈现。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[44]"}]}, "tags": [], "label": "content", "web_segment_id": 88, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/eq0Fo1i3kOv2BycSH2yiYNh.gif", "language": "chinese", "position": {"atoms": [{"position_id": 215, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/eq0Fo1i3kOv2BycSH2yiYNh.gif", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[45]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 89, "global_sentence_id": 62, "edu_l1_label": "EDU_O"}, {"txt": "整体使用下来,因为在灰度测试以及体验窗口(仅支持手机端)的限制,有一些需要完善的地方。", "language": "chinese", "position": {"atoms": [{"position_id": 604, "txt": "整体使用下来,因为在灰度测试以及体验窗口", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[46]"}, {"position_id": 606, "txt": "(仅支持手机端)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[46]/span"}, {"position_id": 608, "txt": "的限制,有一些需要完善的地方。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[46]/span"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "比如,仅支持手机端的搜索,分享给朋友及朋友圈的信息,无法在电脑端查看。", "language": "chinese", "position": {"atoms": [{"position_id": 610, "txt": "比如,仅支持手机端的搜索,分享给朋友及朋友圈的信息,无法在电脑端查看。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[4]/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 91, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "<img https://mmbiz.qpic.cn/mmbiz_png/YicUhk5aAGtCiavzsmdEFeicPR5JuTXbT1bmGafAYaq3SSSdx8PJHoVlvBGFRiasXMgmf3CDnD4bLuG9z3KnjoPlXg/640?wx_fmt=png&from=appmsg", "language": "chinese", "position": {"atoms": [{"position_id": 220, "txt": "<img 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# 微信DeepSeek入口已接通,辐射用户14亿! ## 实测微信接入DeepSeek ## 当全球还在为AI入口焦头烂额的时候…… ## One More Thing
57fdc5d1-cbf8-48c8-a1da-ec8a3016c3ab
web
test/raw_web_htmls/57fdc5d1-cbf8-48c8-a1da-ec8a3016c3ab.html
https://mp.weixin.qq.com/s?__biz=MzkxMDI1MTY2Mg==&mid=2247709009&idx=2&sn=696fad8d27ce7814e59583a224371cbe&scene=0
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# 大快人心!19岁女生遭强奸落水被棒击阻挡上岸后溺亡,凶手改判了 ## 19岁女生散步遇害 ## 一审判决后检方抗诉称“量刑畸轻”
d8721309-158b-4662-942c-d8636e1b19a3
web
test/raw_web_htmls/d8721309-158b-4662-942c-d8636e1b19a3.html
https://www.howtogeek.com/the-blackberry-pi-and-the-end-of-skype-weekly-roundup/
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# The Blackberry Pi and the End of Skype: Weekly Roundup ## The Big News ### The Framework Desktop Might Be The Coolest Tiny PC I've Seen ### Clicks is Making Physical Keyboards for Android Phones ### Google and Qualcomm Team Up to Bring 8 Years of Updates to Android Devices ### Framework Reveals Upgradable and Affordable 2-in-1 Laptop ### Amazon Reveals Alexa+ with Better Language Processing, Desktop Chatbot, and More ### AMD's New RX 9000 GPUs Are for Gamers, Not AI ### Plex Is Killing the One Social Feature I Actually Care About ### Waze Update Puts Maps on More Screens in the Car ### This Raspberry Pi Handheld Hack Uses a Real BlackBerry Keyboard ### Microsoft Confirms Skype Is Shutting Down ### ChatGPT Gets Another Upgrade With GPT-4.5 ### TikTok's Desktop Site Just Got Some Big Improvements ### Upcoming iPhone Parental Control System Hides Kids' Dates of Birth ### Microsoft Copilot Now Has a Mac App ### Minigalaxy Update Brings Easy Classic Windows Gaming to Linux ### PowerBeats Pro 2's Heart Rate Monitoring Feature Is Flawed at Launch ### TP-Link’s New Gaming Router Has Wi-Fi 7 & RGB Lights ### Sony Just Fixed The Worst Thing About The PlayStation VR 2 ### DirecTV Has New Streaming Packages for Under $50 ### Max Announces a Sneaky Price Hike for Sports and News Fans ### This Life-saving Pixel Watch 3 Health Feature Is Coming to the US ### Samsung Finally Made a Proper PCIe 5.0 SSD ### YouTube Claims One Billion People Watch Its Podcasts Every Month ### It’s Now Easier to Remove Google Search Results About Yourself ### New Android 16 Beta Update Rolling Out With Bug Fixes for Pixel Phones ### US Senator Pushes FTC for Guidelines in Digital Purchasing ### Ubisoft Says Assassin’s Creed Shadows Leaked Footage Is Real ### Razer's Latest Gaming Laptop is an 18-Inch Powerhouse ### YouTube Ads Are Getting Slightly Less Annoying ### OnePlus Watch 3 Delayed Until April Due to Hilarious Issue ### League of Legends Will Backtrack on Unpopular Changes ### Copilot Now Provides Free Unlimited Access to OpenAI's o1 Model ### Hyperspace Cleans Up Your Mac's Storage Without Deleting Files ### AT&T and Verizon Are Testing Satellite-Powered Video Calls ### Adobe's New Cheapest Photoshop Plan Has a Big Catch ### Call of Duty Brings Advertisements to Player Killcams ### Microsoft is Testing Free Desktop Office Apps, But There's a Catch ### Some RTX 5080 Cards Are Also Defective ### SteamDB Will Help You Filter Out Steam's AI Games ### Adobe Photoshop Now Has a Full-featured Phone Version ### My Favorite Pokémon Show Is Free on YouTube Right Now ### This Phone Is More Camera Than Phone ### Sailfish OS Linux for Phones Gets 5.0 'Tampella' Update ### Google Drive Now Creates Transcripts and Captions for Your Videos ### Bing Is Copying Google Search's AI Overviews ### Hate QR Codes? Google Will Make You Scan One When You Log In ### This Intel CPU Has 86 Cores ### Microsoft’s Plans to Make Games With AI Don’t Sound Great ### Samsung Galaxy S25's First Update Is Rolling Out More Widely ### AT&T Will Finally Let You Split Bill Payments With People on Your Plan ### Google Gemini Can Generate Images of People Again ### The Budget OnePlus 12R Just Got a Permanant Price Cut ### Apple CarPlay Gets a Helpful Update in iOS 18.4 ### Nothing Officially Shows Off the Phone (3a) With Massive Camera Bump and LEDs ### Snipping Tool on Windows 11 Just Got a Much-Needed Feature ### Windows 11’s Search Is Getting an Upgrade ### Your Hard-To-Find RTX 5090 GPU Might Be Defective ### ASUS’ New Mouse Is an Essential Oil Diffuser (I’m Not Joking) ### Your iPhone Wants to Suggest Your Next Meal ### The Chromecast is Officially Dead ### A Huge Apple Vision Pro Update Arrives This April ## The Other Stuff
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["strong"], "label": "title1", "web_segment_id": 41, "global_sentence_id": 7, "edu_l1_label": "BOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3aSfvI3vM1VDOoFGj3iomNN.png", "language": "chinese", "position": {"atoms": [{"position_id": 77, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3aSfvI3vM1VDOoFGj3iomNN.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[4]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 42, "global_sentence_id": 8, "edu_l1_label": "EDU_O"}, {"txt": "第8周新势力车企品牌前4名和第7周保持不变,依然为小鹏(0.88万)、理想(0.77万)、小米(0.64万)和零跑(0.55万)。", "language": "chinese", "position": {"atoms": [{"position_id": 184, "txt": "第8周新势力车企品牌前4名和第7周保持不变,依然为小鹏(0.88万)、理想(0.77万)、小米(0.64万)和零跑(0.55万)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "值得注意的是,小鹏、理想和零跑汽车都较第7周销量有小幅上涨,小米汽车却下滑500辆。", "language": "chinese", "position": {"atoms": [{"position_id": 186, "txt": "值得注意的是,小鹏、理想和零跑汽车都较第7周销量有小幅上涨,小米汽车却下滑500辆。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "一般而言,过年后的产能和销量都会较过年期间有所提升。", "language": "chinese", "position": {"atoms": [{"position_id": 188, "txt": "一般而言,过年后的产能和销量都会较过年期间有所提升。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "电车界猜测,作为目前小米唯一在售车型SU7,交付量下滑,很有可能在为即将正式发布的小米SU7 Ultra让出了部分产能,以供门店铺货及媒体试驾车使用。", "language": "chinese", "position": {"atoms": [{"position_id": 189, "txt": "电车界猜测,作为目前小米唯一在售车型SU7,交付量下滑,很有可能在为即将正式发布的小米SU7 Ultra让出了部分产能,以供门店铺货及媒体试驾车使用。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3RXXlN1o4egT2ikZWB6kugM.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 87, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3RXXlN1o4egT2ikZWB6kugM.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 46, "global_sentence_id": 13, "edu_l1_label": "EDU_O"}, {"txt": "本周极氪和问界排位调换,腾势和蔚来位置调换,新势力TOP10销量入围门槛提升至2300辆。", "language": "chinese", "position": {"atoms": [{"position_id": 191, "txt": "本周极氪和问界排位调换,腾势和蔚来位置调换,新势力TOP10销量入围门槛提升至2300辆。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "而“蔚小理”中的“小理”,周销量已3倍于蔚来品牌了。", "language": "chinese", "position": {"atoms": [{"position_id": 192, "txt": "而“蔚小理”中的“小理”,周销量已3倍于蔚来品牌了。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "豪华车品牌方面:", "language": "chinese", "position": {"atoms": [{"position_id": 194, "txt": "豪华车品牌方面:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[10]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 48, "global_sentence_id": 16, "edu_l1_label": "BOS"}, {"txt": "豪华车前5名位置未变,依次为宝马、奔驰、奥迪、理想、特斯拉。", "language": "chinese", "position": {"atoms": [{"position_id": 196, "txt": "豪华车前5名位置未变", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/strong/span"}, {"position_id": 198, "txt": ",依次为宝马、奔驰、奥迪、理想、特斯拉。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 49, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "<img https://mmbiz.qpic.cn/mmbiz_png/jwfPztytZyfbQMm2VhQAIVACd5Sia0gPL7ME3xsdS90ic5at0Dake0OQ9ibzoTYTibtbMpTsRfjDXtiaMjTexhAGdicQ/640?wx_fmt=png&from=appmsg", "language": "chinese", "position": {"atoms": [{"position_id": 99, "txt": "<img https://mmbiz.qpic.cn/mmbiz_png/jwfPztytZyfbQMm2VhQAIVACd5Sia0gPL7ME3xsdS90ic5at0Dake0OQ9ibzoTYTibtbMpTsRfjDXtiaMjTexhAGdicQ/640?wx_fmt=png&from=appmsg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 50, "global_sentence_id": 18, "edu_l1_label": "EDU_O"}, {"txt": "问界上升一位至第六位,极氪下跌2位排名第8。", "language": "chinese", "position": {"atoms": [{"position_id": 200, "txt": "问界上升一位至第六位,极氪下跌2位排名第8。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[13]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "蔚来、腾势排名后2位。", "language": "chinese", "position": {"atoms": [{"position_id": 202, "txt": "蔚来、腾势排名后2位。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[13]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "新能源品牌销量:", "language": "chinese", "position": {"atoms": [{"position_id": 204, "txt": "新能源品牌销量:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[14]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 52, "global_sentence_id": 21, "edu_l1_label": "BOS"}, {"txt": "比亚迪周销量大涨1.23万至5.91万辆,也是唯一周销量超过5万辆的新能源汽车品牌。", "language": "chinese", "position": {"atoms": [{"position_id": 206, "txt": "比亚迪周销量大涨1.23万至5.91万辆,也是唯一周销量超过5万辆的新能源汽车品牌。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[15]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 53, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4kcGdp1C3Vxf1cTNx736Bj51.png", "language": "chinese", "position": {"atoms": 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# 第8周销量榜:小鹏稳压理想,小米SU7让出产能 ## 新势力方面: ## 豪华车品牌方面: ## 新能源品牌销量:
bcc830d1-8428-4ab6-99f7-6b2ef5fcd630
web
test/raw_web_htmls/bcc830d1-8428-4ab6-99f7-6b2ef5fcd630.html
https://mp.weixin.qq.com/s?__biz=Mzg5NDMyMDk2OQ==&mid=2247497994&idx=1&sn=0f2b60094e3aa23750ef9268c2fd91ed&scene=0
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"content", "web_segment_id": 47, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "2、政府承诺可以无限制地用法币兑换黄金。", "language": "chinese", "position": {"atoms": [{"position_id": 774, "txt": "2、政府承诺可以无限制地用法币兑换黄金。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/section/section/p[6]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 48, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "在这一假设下,任何一次经济波动、自然灾害都会引发黄金短缺和金价暴涨,各国所有的货币政策,都建立在足额的黄金之上,如果像中国这样的大国对外贸易持续几十年的顺差,全世界的黄金都会运到中国来(具体阐述参见上一篇)。", "language": "chinese", "position": {"atoms": [{"position_id": 776, "txt": "在这一假设下,任何一次经济波动、自然灾害都会引发黄金短缺和金价暴涨", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/section/section/p[8]/span"}, {"position_id": 778, "txt": ",各国所有的货币政策,都建立在足额的黄金之上", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/section/section/p[8]/span/span"}, {"position_id": 780, "txt": 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["strong"], "label": "content", "web_segment_id": 50, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "为了获得更多的黄金,金矿开采业将成为一国战略行业,地球上每一颗含黄金的矿床都会成为战略资产,不过,为了开采高成本的矿床,政府仍然会允许民间采矿,只是会建立更严格的收购制度。", "language": "chinese", "position": {"atoms": [{"position_id": 788, "txt": "为了获得更多的黄金,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/section/section/p[12]/span[1]"}, {"position_id": 790, "txt": "金矿开采业将成为一国战略行业", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/section/section/p[12]/span[2]/strong"}, {"position_id": 792, "txt": ",地球上每一颗含黄金的矿床都会成为战略资产,不过,为了开采高成本的矿床,政府仍然会允许民间采矿,只是会建立更严格的收购制度。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/section/section/p[12]/span[3]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 51, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "金本位将会加剧全球各国的贫富差距,那些拥有大量黄金储备的国家将会处于优势地位,而缺乏黄金的国家可能会面临更大的经济压力。", "language": "chinese", "position": {"atoms": 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"position": {"atoms": [{"position_id": 800, "txt": "很多人会说,金本位在历史真实存在过,并没有发生这么极端的变化啊?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/section/section/p[20]/span"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "是的,实际历史中,国家不会被“金本位”的条条框框所束缚,总是尝试操纵货币,以维持政府的统治,所以我们更容易从历史中总结政治军事方面的经验,货币总是作为暗线被忽略。", "language": "chinese", "position": {"atoms": [{"position_id": 802, "txt": "是的,实际历史中,国家不会被“金本位”的条条框框所束缚,总是尝试操纵货币,以维持政府的统治,所以", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/section/section/p[22]/span[1]"}, {"position_id": 804, "txt": "我们更容易从历史中总结政治军事方面的经验,货币总是作为暗线被忽略。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/section/section/p[22]/span[2]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 56, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "那么真实历史中,黄金是如何发挥作用的?", "language": "chinese", "position": {"atoms": 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"txt": "白银帝国的兴亡", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/section[2]/section/section/section/p/strong/span/span"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 59, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "所有的价值都是比较出来的,理解黄金的价值,可以先了解另一种贵金属——白银。", "language": "chinese", "position": {"atoms": [{"position_id": 822, "txt": "所有的价值都是比较出来的,理解黄金的价值,可以先了解另一种贵金属——白银。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "在黄金猛涨的近十几年,金银比也在上升,即白银相对于黄金也在掉价,而这样的事,历史上多次发生,每一次都引发社会与经济的大动荡,从明朝开始就不断影响中国。", "language": "chinese", "position": {"atoms": [{"position_id": 824, "txt": "在黄金猛涨的近十几年,", "x": 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"/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[6]/span"}, {"position_id": 832, "txt": "西门庆", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[6]/span/span"}, {"position_id": 834, "txt": "作为当时富商阶层的代表,不仅经营生药铺,还开设了缎子铺、绸绢铺、绒线铺、解当铺等,并从事各种长途贩运业务,比如派人到江南地区采购丝绸、布匹等商品,再运回北方销售,最后积累了巨额财富。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[6]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "商业活动自古有之,而明朝的社会管理很严格,绝大部分百姓都被束缚在土地上,为什么明朝后期的商业如此发达呢?", "language": "chinese", "position": {"atoms": [{"position_id": 836, "txt": "商业活动自古有之,而明朝的社会管理很严格,绝大部分百姓都被束缚在土地上,为什么明朝后期的商业如此发达呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "理解这一点,要先知道之前贸易的那些限制条件。", "language": "chinese", "position": {"atoms": [{"position_id": 838, "txt": "理解这一点,要先知道之前贸易的那些限制条件。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[10]/span"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "假设一件南方出产的特色商品,在当地只要十文,但北方可以卖到五十文,看上去从南方运到北方卖有利可图,但实际有很多困难:", "language": "chinese", "position": {"atoms": [{"position_id": 839, "txt": "假设一件南方出产的特色商品,在当地只要十文,但北方可以卖到五十文,看上去从南方运到北方卖有利可图,但实际有很多困难:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[10]/span"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "首先,南北路途遥远,费用不菲,量大才有利可图,该商人要先筹集大量资金收购,铜钱不方便,需要价值更高的白银。", "language": "chinese", "position": {"atoms": [{"position_id": 841, "txt": "首先,南北路途遥远,费用不菲,量大才有利可图,该商人要先筹集大量资金收购,铜钱不方便,需要价值更高的白银。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[12]/span"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "其次,产品变成商品,背后需要更多货币购买力的支持,十文的商品卖到五十文,相当于需要五倍的货币量,要更多的白银。", "language": "chinese", "position": {"atoms": [{"position_id": 843, "txt": "其次,产品变成商品,背后需要更多货币购买力的支持,十文的商品卖到五十文,相当于需要五倍的货币量,要更多的白银。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[14]/span"}]}, "tags": [], "label": "content", "web_segment_id": 66, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "最后,赚到的白银运回南方非常危险,需要存入票号,到南方再取出来,票号为了保证兑付,还需要更多的白银。", "language": "chinese", "position": {"atoms": [{"position_id": 845, "txt": "最后,赚到的白银运回南方非常危险,需要存入票号,到南方再取出来,票号为了保证兑付,还需要更多的白银。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[16]/span"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "货币量与经济活动有直接的关系,这就是经济学中的费雪方程式:", "language": "chinese", "position": {"atoms": [{"position_id": 847, "txt": "货币量与经济活动有直接的关系,这就是经济学中的", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[18]/span[1]"}, {"position_id": 849, "txt": "费雪方程式:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[18]/span[2]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 68, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "M(流通货币数量)×V(货币流通速度) = P(商品价格)×T(商品数量)", "language": "chinese", "position": {"atoms": [{"position_id": 851, "txt": "M(流通货币数量)×V(货币流通速度) = P(商品价格)×T(商品数量)", "x": 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{"txt": "宋元和明初还尝试过发行纸币,但每次都会货币超发引发大规模通胀而失败,明朝后来能抵御这个“魔鬼的诱惑”,主要原因在于——白银来了。", "language": "chinese", "position": {"atoms": [{"position_id": 861, "txt": "宋元和明初还尝试过发行纸币,但每次都会货币超发引发大规模通胀而失败,明朝后来能抵御这个“魔鬼的诱惑”,主要原因在于——白银来了。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[28]/span"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "15世纪的地理大发现后,西班牙人在南美发现了大量银矿,全球开启了白银贸易时代,欧洲商人把白银运到中国,再把中国的茶叶、丝绸运到欧洲,由于中国经济自给自足,不需要从西方国家进口商品,形成持续的贸易顺差,白银大量流入中国。", "language": "chinese", "position": {"atoms": [{"position_id": 863, "txt": "15世纪的地理大发现后,西班牙人在南美发现了大量银矿,全球开启了白银贸易时代,欧洲商人把白银运到中国,再把中国的茶叶、丝绸运到欧洲,由于中国经济自给自足,不需要从西方国家进口商品,形成持续的贸易顺差,白银大量流入中国。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[30]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 74, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "同时,日本也发明了新的白银开采技术,导致输出量大增,合力导致明朝流通的白银最多时增加了4倍。", "language": "chinese", "position": {"atoms": [{"position_id": 864, "txt": "同时,日本也发明了新的白银开采技术,导致输出量大增,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[30]/span[1]"}, {"position_id": 866, "txt": "合力导致明朝流通的白银最多时增加了4倍。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[30]/span[2]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 74, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "有了足够的白银,张居正开始实施一条鞭法,把各种“税赋役征”折为白银合并征收,白银也最终成为官方货币,形成了明的“银铜货币”时代,银用于大额交易、税收,日常生活多用铜钱,银铜价格市场化浮动。", "language": "chinese", "position": {"atoms": [{"position_id": 868, "txt": "有了足够的白银,张居正开始实施一条鞭法,把各种“税赋役征”折为白银合并征收,白银也最终成为官方货币,形成了", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[1]/section/section/p[32]/span[1]"}, {"position_id": 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"O", "web_segment_id": 158, "global_sentence_id": 136, "edu_l1_label": "EDU_O"}, {"txt": "文章比较长了,更具体的介绍,可以看招募文章:", "language": "chinese", "position": {"atoms": [{"position_id": 1108, "txt": "文章比较长了,更具体的介绍,可以看", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[2]/section/section/p[90]/span[1]"}, {"position_id": 1110, "txt": "招募文章:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[2]/section/section/p[90]/span[2]"}]}, "tags": [], "label": "O", "web_segment_id": 159, "global_sentence_id": 137, "edu_l1_label": "EDU_O"}, {"txt": "《赚翻了的“渡边太太”,会在中国重演吗?", "language": "chinese", "position": {"atoms": [{"position_id": 1112, "txt": "《", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section/section/section[2]/section/section/h1/a[1]"}, {"position_id": 1114, "txt": "赚翻了的“渡边太太”,会在中国重演吗?", "x": 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# 黄金永不倒?揭秘货币战争的终极赢家 ## 理解黄金投资系列之二:从白银帝国到黄金时代 ### 1/4全球黄金大战 ### 2/4白银帝国的兴亡 ### 3/4银衰金兴 ### 4/4黄金时代
d97cf384-dc6f-4581-9484-a6e4ae4f415a
web
test/raw_web_htmls/d97cf384-dc6f-4581-9484-a6e4ae4f415a.html
https://github.com/evalstate/fast-agent
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"/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[16]/code[1]"}, {"position_id": 2201, "txt": " switch - for example ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[16]/code[1]"}, {"position_id": 2203, "txt": "uv run sizer.py --model sonnet", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[16]/code[2]"}, {"position_id": 2205, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[16]/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "Combining Agents and using MCP Servers", "language": "english", "position": {"atoms": [{"position_id": 2207, "txt": "Combining Agents and using MCP 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"/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[13]/span[2]"}, {"position_id": 2294, "txt": "name", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[14]/span[1]"}, {"position_id": 2296, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[14]/span[2]"}, {"position_id": 2298, "txt": "\"post_writer\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[14]/span[3]"}, {"position_id": 2300, "txt": ",", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[14]/span[3]"}, {"position_id": 2302, "txt": "sequence", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[15]/span[1]"}, {"position_id": 2304, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[15]/span[2]"}, {"position_id": 2306, "txt": "[", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[15]/span[2]"}, {"position_id": 2308, "txt": "\"url_fetcher\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[15]/span[3]"}, {"position_id": 2310, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[15]/span[3]"}, {"position_id": 2312, "txt": "\"social_media\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[15]/span[4]"}, {"position_id": 2314, "txt": "],", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[15]/span[4]"}, {"position_id": 2316, "txt": ")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[16]"}, {"position_id": 2318, "txt": "async", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[17]"}, {"position_id": 2320, "txt": "def", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[18]"}, {"position_id": 2322, "txt": "main", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[19]"}, {"position_id": 2324, "txt": "():", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[19]"}]}, "tags": [], "label": "code", "web_segment_id": 39, "global_sentence_id": 56, "edu_l1_label": "EDU_O"}, {"txt": " asyncwithfast.run() asagent:", "language": "english", "position": {"atoms": [{"position_id": 2325, "txt": "\n ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[19]"}, {"position_id": 2327, "txt": "async", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[20]"}, {"position_id": 2329, "txt": "with", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[21]"}, {"position_id": 2331, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[22]"}, {"position_id": 2333, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[22]"}, {"position_id": 2335, "txt": "run", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[23]"}, {"position_id": 2337, "txt": "() ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[23]"}, {"position_id": 2339, "txt": "as", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[24]"}, {"position_id": 2341, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[25]"}, {"position_id": 2343, "txt": ":", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[25]"}]}, "tags": [], "label": "code", "web_segment_id": 39, "global_sentence_id": 57, "edu_l1_label": "EDU_O"}, {"txt": " # using chain workflowawaitagent.post_writer(\"http://llmindset.co.uk\")", "language": "english", "position": {"atoms": [{"position_id": 2344, "txt": "\n ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[25]"}, {"position_id": 2346, "txt": "# using chain workflow", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[26]"}, {"position_id": 2348, "txt": "await", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[27]"}, {"position_id": 2350, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[28]"}, {"position_id": 2352, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[28]"}, {"position_id": 2354, "txt": "post_writer", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[29]"}, {"position_id": 2356, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[29]"}, {"position_id": 2358, "txt": "\"http://llmindset.co.uk\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[30]"}, {"position_id": 2360, "txt": ")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[14]/pre/span[30]"}]}, "tags": [], "label": "code", "web_segment_id": 39, "global_sentence_id": 58, "edu_l1_label": "EDU_O"}, {"txt": "All Agents and Workflows respond to .send(\"message\") or .prompt() to begin a chat session.", "language": "english", "position": {"atoms": [{"position_id": 2362, "txt": "All Agents and Workflows respond to ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[19]"}, {"position_id": 2364, "txt": ".send(\"message\")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[19]/code[1]"}, {"position_id": 2366, "txt": " or ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[19]/code[1]"}, {"position_id": 2368, "txt": ".prompt()", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[19]/code[2]"}, {"position_id": 2370, "txt": " to begin a chat session.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[19]/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "Saved as social.py we can now run this workflow from the command line with:", "language": "english", "position": {"atoms": [{"position_id": 2372, "txt": "Saved as ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[20]"}, {"position_id": 2374, "txt": "social.py", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[20]/code"}, {"position_id": 2376, "txt": " we can now run this workflow from the command line with:", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[20]/code"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "uv run workflow/chaining.py --agent post_writer --message \"<url>\"", "language": "english", "position": {"atoms": [{"position_id": 2378, "txt": "uv run workflow/chaining.py --agent post_writer --message ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[15]/pre"}, {"position_id": 2380, "txt": "\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[15]/pre/span/span[1]"}, {"position_id": 2382, "txt": "<url>", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[15]/pre/span/span[1]"}, {"position_id": 2384, "txt": "\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[15]/pre/span/span[2]"}]}, "tags": [], "label": "code", "web_segment_id": 43, "global_sentence_id": 61, "edu_l1_label": "EDU_O"}, {"txt": "Add the --quiet switch to disable progress and message display and return only the final response - useful for simple automations.", "language": "english", "position": {"atoms": [{"position_id": 2386, "txt": "Add the ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[21]"}, {"position_id": 2388, "txt": "--quiet", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[21]/code"}, {"position_id": 2390, "txt": " switch to disable progress and message display and return only the final response - useful for simple automations.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[21]/code"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "Workflows", "language": "english", "position": {"atoms": [{"position_id": 2392, "txt": "Workflows", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[16]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 46, "global_sentence_id": 63, "edu_l1_label": "BOS"}, {"txt": "Chain", "language": "english", "position": {"atoms": [{"position_id": 2394, "txt": "Chain", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[17]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 47, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "The chain workflow offers a more declarative approach to calling Agents in sequence:", "language": "english", "position": {"atoms": [{"position_id": 2396, "txt": "The ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[22]"}, {"position_id": 2398, "txt": "chain", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[22]/code"}, {"position_id": 2400, "txt": " workflow offers a more declarative approach to calling Agents in sequence:", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[22]/code"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "@fast.chain(\"post_writer\",sequence=[\"url_fetcher\",\"social_media\"])# we can them prompt it directly:", "language": "english", "position": {"atoms": [{"position_id": 2402, "txt": "@", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[1]"}, {"position_id": 2404, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[1]/span[1]"}, {"position_id": 2406, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[1]/span[1]"}, {"position_id": 2408, "txt": "chain", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[1]/span[2]"}, {"position_id": 2410, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[1]/span[2]"}, {"position_id": 2412, "txt": "\"post_writer\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[2]/span"}, {"position_id": 2414, "txt": ",", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[2]/span"}, {"position_id": 2416, "txt": "sequence", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[3]/span[1]"}, {"position_id": 2418, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[3]/span[2]"}, {"position_id": 2420, "txt": "[", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[3]/span[2]"}, {"position_id": 2422, "txt": "\"url_fetcher\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[3]/span[3]"}, {"position_id": 2424, "txt": ",", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[3]/span[3]"}, {"position_id": 2426, "txt": "\"social_media\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[3]/span[4]"}, {"position_id": 2428, "txt": "]", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[3]/span[4]"}, {"position_id": 2430, "txt": ")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[4]"}, {"position_id": 2432, "txt": "# we can them prompt it directly:", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[18]/pre/span[5]"}]}, "tags": [], "label": "code", 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"/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[26]/pre/span[3]/span[4]"}, {"position_id": 2846, "txt": ")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[26]/pre/span[4]"}]}, "tags": [], "label": "code", "web_segment_id": 74, "global_sentence_id": 98, "edu_l1_label": "EDU_O"}, {"txt": "Look at the router.py workflow for an example.", "language": "english", "position": {"atoms": [{"position_id": 2848, "txt": "Look at the ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[36]"}, {"position_id": 2850, "txt": "router.py", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[36]/code"}, {"position_id": 2852, "txt": " workflow for an example.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[36]/code"}]}, "tags": [], "label": "content", "web_segment_id": 76, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "Orchestrator", "language": "english", "position": {"atoms": [{"position_id": 2854, "txt": "Orchestrator", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[27]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 77, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "Given a complex task, the Orchestrator uses an LLM to generate a plan to divide the task amongst the available Agents.", "language": "english", "position": {"atoms": [{"position_id": 2856, "txt": "Given a complex task, the Orchestrator uses an LLM to generate a plan to divide the task amongst the available Agents.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 78, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": " The planning and aggregation prompts are generated by the Orchestrator, which benefits from using more capable models.", "language": "english", "position": {"atoms": [{"position_id": 2857, "txt": " The planning and aggregation prompts are generated by the Orchestrator, which benefits from using more capable models.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 78, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": " Plans can either be built once at the beginning (plantype=\"full\") or iteratively (plantype=\"iterative\").", "language": "english", "position": {"atoms": [{"position_id": 2858, "txt": " Plans can either be built once at the beginning (", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[37]"}, {"position_id": 2860, "txt": "plantype=\"full\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[37]/code[1]"}, {"position_id": 2862, "txt": ") or iteratively (", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[37]/code[1]"}, {"position_id": 2864, "txt": "plantype=\"iterative\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[37]/code[2]"}, {"position_id": 2866, "txt": ").", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[37]/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 78, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "@fast.orchestrator(name=\"orchestrate\"agents=[\"task1\",\"task2\",\"task3\"])", "language": "english", "position": {"atoms": [{"position_id": 2868, "txt": "@", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[1]"}, {"position_id": 2870, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[1]/span[1]"}, {"position_id": 2872, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[1]/span[1]"}, {"position_id": 2874, "txt": "orchestrator", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[1]/span[2]"}, {"position_id": 2876, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[1]/span[2]"}, {"position_id": 2878, "txt": "name", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[2]/span[1]"}, {"position_id": 2880, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[2]/span[2]"}, {"position_id": 2882, "txt": "\"orchestrate\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[2]/span[3]"}, {"position_id": 2884, "txt": "agents", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[3]/span[1]"}, {"position_id": 2886, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[3]/span[2]"}, {"position_id": 2888, "txt": "[", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[3]/span[2]"}, {"position_id": 2890, "txt": "\"task1\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[3]/span[3]"}, {"position_id": 2892, "txt": ",", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[3]/span[3]"}, {"position_id": 2894, "txt": "\"task2\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[3]/span[4]"}, {"position_id": 2896, "txt": ",", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[3]/span[4]"}, {"position_id": 2898, "txt": "\"task3\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[3]/span[5]"}, {"position_id": 2900, "txt": "]", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[3]/span[5]"}, {"position_id": 2902, "txt": ")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[28]/pre/span[4]"}]}, "tags": [], "label": "code", "web_segment_id": 79, "global_sentence_id": 104, "edu_l1_label": "EDU_O"}, {"txt": "See the orchestrator.py or agent_build.py workflow example.", "language": "english", "position": {"atoms": [{"position_id": 2904, "txt": "See the ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[38]"}, {"position_id": 2906, "txt": "orchestrator.py", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[38]/code[1]"}, {"position_id": 2908, "txt": " or ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[38]/code[1]"}, {"position_id": 2910, "txt": "agent_build.py", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[38]/code[2]"}, {"position_id": 2912, "txt": " workflow example.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[38]/code[2]"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "Agent Features", "language": "english", "position": {"atoms": [{"position_id": 2914, "txt": "Agent Features", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[29]/h2"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 82, "global_sentence_id": 106, "edu_l1_label": "BOS"}, {"txt": "Calling Agents", "language": "english", "position": {"atoms": [{"position_id": 2916, "txt": "Calling Agents", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[30]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 83, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": "All definitions allow omitting the name and instructions arguments for brevity:", "language": "english", "position": {"atoms": [{"position_id": 2918, "txt": "All definitions allow omitting the name and instructions arguments for brevity:", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 84, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "@fast.agent(\"You are a helpful agent\") # Create an agent with a default [email protected](\"greeter\",\"Respond cheerfully!\") # Create an agent with the name \"greeter\"moon_size=awaitagent(\"the moon\") # Call the default (first defined agent) with a messageresult=awaitagent.greeter(\"Good morning!\") # Send a message to an agent by name using dot notationresult=awaitagent.greeter.send(\"Hello!\") # You can call 'send' explicitlyawaitagent.greeter() # If no message is specified, a chat session will openawaitagent.greeter.prompt() # that can be made more explicitawaitagent.greeter.prompt(default_prompt=\"OK\") # and supports setting a default promptagent[\"greeter\"].send(\"Good Evening!\") # Dictionary access is supported if preferred", "language": "english", "position": {"atoms": [{"position_id": 2920, "txt": "@", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[1]"}, {"position_id": 2922, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[1]/span[1]"}, {"position_id": 2924, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[1]/span[1]"}, {"position_id": 2926, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[1]/span[2]"}, {"position_id": 2928, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[1]/span[2]"}, {"position_id": 2930, "txt": "\"You are a helpful agent\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[1]/span[3]"}, {"position_id": 2932, "txt": ") ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[1]/span[3]"}, {"position_id": 2934, "txt": "# Create an agent with a default name.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[1]/span[4]"}, {"position_id": 2936, "txt": "@", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[2]"}, {"position_id": 2938, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[2]/span[1]"}, {"position_id": 2940, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[2]/span[1]"}, {"position_id": 2942, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[2]/span[2]"}, {"position_id": 2944, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[2]/span[2]"}, {"position_id": 2946, "txt": "\"greeter\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[2]/span[3]"}, {"position_id": 2948, "txt": ",", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[2]/span[3]"}, {"position_id": 2950, "txt": "\"Respond cheerfully!\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[2]/span[4]"}, {"position_id": 2952, "txt": ") ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[2]/span[4]"}, {"position_id": 2954, "txt": "# Create an agent with the name \"greeter\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[2]/span[5]"}, {"position_id": 2956, "txt": "moon_size", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[3]"}, {"position_id": 2958, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[4]"}, {"position_id": 2960, "txt": "await", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[5]"}, {"position_id": 2962, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[6]"}, {"position_id": 2964, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[6]"}, {"position_id": 2966, "txt": "\"the moon\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[7]"}, {"position_id": 2968, "txt": ") ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[7]"}, {"position_id": 2970, "txt": "# Call the default (first defined agent) with a message", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[8]"}, {"position_id": 2972, "txt": "result", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[9]"}, {"position_id": 2974, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[10]"}, {"position_id": 2976, "txt": "await", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[11]"}, {"position_id": 2978, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[12]"}, {"position_id": 2980, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[12]"}, {"position_id": 2982, "txt": "greeter", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[13]"}, {"position_id": 2984, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[13]"}, {"position_id": 2986, "txt": "\"Good morning!\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[14]"}, {"position_id": 2988, "txt": ") ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[14]"}, {"position_id": 2990, "txt": "# Send a message to an agent by name using dot notation", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[15]"}, {"position_id": 2992, "txt": "result", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[16]"}, {"position_id": 2994, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[17]"}, {"position_id": 2996, "txt": "await", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[18]"}, {"position_id": 2998, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[19]"}, {"position_id": 3000, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[19]"}, {"position_id": 3002, "txt": "greeter", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[20]"}, {"position_id": 3004, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[20]"}, {"position_id": 3006, "txt": "send", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[21]"}, {"position_id": 3008, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[21]"}, {"position_id": 3010, "txt": "\"Hello!\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[22]"}, {"position_id": 3012, "txt": ") ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[22]"}, {"position_id": 3014, "txt": "# You can call 'send' explicitly", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[23]"}, {"position_id": 3016, "txt": "await", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[24]"}, {"position_id": 3018, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[25]"}, {"position_id": 3020, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[25]"}, {"position_id": 3022, "txt": "greeter", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[26]"}, {"position_id": 3024, "txt": "() ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[26]"}, {"position_id": 3026, "txt": "# If no message is specified, a chat session will open", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[27]"}, {"position_id": 3028, "txt": "await", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[28]"}, {"position_id": 3030, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[29]"}, {"position_id": 3032, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[29]"}, {"position_id": 3034, "txt": "greeter", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[30]"}, {"position_id": 3036, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[30]"}, {"position_id": 3038, "txt": "prompt", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[31]"}, {"position_id": 3040, "txt": "() ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[31]"}, {"position_id": 3042, "txt": "# that can be made more explicit", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[32]"}, {"position_id": 3044, "txt": "await", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[33]"}, {"position_id": 3046, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[34]"}, {"position_id": 3048, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[34]"}, {"position_id": 3050, "txt": "greeter", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[35]"}, {"position_id": 3052, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[35]"}, {"position_id": 3054, "txt": "prompt", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[36]"}, {"position_id": 3056, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[36]"}, {"position_id": 3058, "txt": "default_prompt", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[37]"}, {"position_id": 3060, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[38]"}, {"position_id": 3062, "txt": "\"OK\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[39]"}, {"position_id": 3064, "txt": ") ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[39]"}, {"position_id": 3066, "txt": "# and supports setting a default prompt", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[40]"}, {"position_id": 3068, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[41]"}, {"position_id": 3070, "txt": "[", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[41]"}, {"position_id": 3072, "txt": "\"greeter\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[42]"}, {"position_id": 3074, "txt": "].", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[42]"}, {"position_id": 3076, "txt": "send", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[43]"}, {"position_id": 3078, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[43]"}, {"position_id": 3080, "txt": "\"Good Evening!\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[44]"}, {"position_id": 3082, "txt": ") ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[44]"}, {"position_id": 3084, "txt": "# Dictionary access is supported if preferred", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[31]/pre/span[45]"}]}, "tags": [], "label": "code", "web_segment_id": 85, "global_sentence_id": 109, "edu_l1_label": "EDU_O"}, {"txt": "Defining Agents", "language": "english", "position": {"atoms": [{"position_id": 3086, "txt": "Defining Agents", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[32]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 87, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "Basic Agent", "language": "english", "position": {"atoms": [{"position_id": 3088, "txt": "Basic Agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[33]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 88, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "@fast.agent( name=\"agent\", # name of the agentinstruction=\"You are a helpful Agent\", # base instruction for the agentservers=[\"filesystem\"], # list of MCP Servers for the agentmodel=\"o3-mini.high\", # specify a model for the agentuse_history=True, # agent maintains chat historyrequest_params=RequestParams(temperature=0.7)), # additional parameters for the LLM (or RequestParams())human_input=True, # agent can request human input)", "language": "english", "position": {"atoms": [{"position_id": 3090, "txt": "@", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre"}, {"position_id": 3092, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[1]"}, {"position_id": 3094, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[1]"}, {"position_id": 3096, "txt": "agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[2]"}, {"position_id": 3098, "txt": "(\n ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[2]"}, {"position_id": 3100, "txt": "name", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[3]"}, {"position_id": 3102, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[4]"}, {"position_id": 3104, "txt": "\"agent\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[5]"}, {"position_id": 3106, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[5]"}, {"position_id": 3108, "txt": "# name of the agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[6]"}, {"position_id": 3110, "txt": "instruction", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[7]"}, {"position_id": 3112, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[8]"}, {"position_id": 3114, "txt": "\"You are a helpful Agent\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[9]"}, {"position_id": 3116, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[9]"}, {"position_id": 3118, "txt": "# base instruction for the agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[10]"}, {"position_id": 3120, "txt": "servers", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[11]"}, {"position_id": 3122, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[12]"}, {"position_id": 3124, "txt": "[", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[12]"}, {"position_id": 3126, "txt": "\"filesystem\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[13]"}, {"position_id": 3128, "txt": "], ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[13]"}, {"position_id": 3130, "txt": "# list of MCP Servers for the agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[14]"}, {"position_id": 3132, "txt": "model", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[15]"}, {"position_id": 3134, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[16]"}, {"position_id": 3136, "txt": "\"o3-mini.high\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[17]"}, {"position_id": 3138, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[17]"}, {"position_id": 3140, "txt": "# specify a model for the agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[18]"}, {"position_id": 3142, "txt": "use_history", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[19]"}, {"position_id": 3144, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[20]"}, {"position_id": 3146, "txt": "True", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[21]"}, {"position_id": 3148, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[21]"}, {"position_id": 3150, "txt": "# agent maintains chat history", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[22]"}, {"position_id": 3152, "txt": "request_params", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[23]"}, {"position_id": 3154, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[24]"}, {"position_id": 3156, "txt": "RequestParams", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[25]"}, {"position_id": 3158, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[25]"}, {"position_id": 3160, "txt": "temperature", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[26]"}, {"position_id": 3162, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[27]"}, {"position_id": 3164, "txt": "0.7", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[28]"}, {"position_id": 3166, "txt": ")), ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[28]"}, {"position_id": 3168, "txt": "# additional parameters for the LLM (or RequestParams())", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[29]"}, {"position_id": 3170, "txt": "human_input", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[30]"}, {"position_id": 3172, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[31]"}, {"position_id": 3174, "txt": "True", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[32]"}, {"position_id": 3176, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[32]"}, {"position_id": 3178, "txt": "# agent can request human input", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[33]"}, {"position_id": 3180, "txt": "\n)", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[34]/pre/span[33]"}]}, "tags": [], "label": "code", "web_segment_id": 89, "global_sentence_id": 112, "edu_l1_label": "EDU_O"}, {"txt": "Chain", "language": "english", "position": {"atoms": [{"position_id": 3182, "txt": "Chain", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[35]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 91, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "@fast.chain(name=\"chain\", # name of the chainsequence=[\"agent1\", \"agent2\", ...], # list of agents in execution orderinstruction=\"instruction\", # instruction to describe the chain for other workflowscumulative=False# whether to accumulate messages through the chaincontinue_with_final=True, # open chat with agent at end of chain after prompting)", "language": "english", "position": {"atoms": [{"position_id": 3184, "txt": "@", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[1]"}, {"position_id": 3186, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[1]/span[1]"}, {"position_id": 3188, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[1]/span[1]"}, {"position_id": 3190, "txt": "chain", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[1]/span[2]"}, {"position_id": 3192, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[1]/span[2]"}, {"position_id": 3194, "txt": "name", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[2]/span[1]"}, {"position_id": 3196, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[2]/span[2]"}, {"position_id": 3198, "txt": "\"chain\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[2]/span[3]"}, {"position_id": 3200, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[2]/span[3]"}, {"position_id": 3202, "txt": "# name of the chain", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[2]/span[4]"}, {"position_id": 3204, "txt": "sequence", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[3]/span[1]"}, {"position_id": 3206, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[3]/span[2]"}, {"position_id": 3208, "txt": "[", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[3]/span[2]"}, {"position_id": 3210, "txt": "\"agent1\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[3]/span[3]"}, {"position_id": 3212, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[3]/span[3]"}, {"position_id": 3214, "txt": "\"agent2\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[3]/span[4]"}, {"position_id": 3216, "txt": ", ...], ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[3]/span[4]"}, {"position_id": 3218, "txt": "# list of agents in execution order", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[3]/span[5]"}, {"position_id": 3220, "txt": "instruction", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[4]/span[1]"}, {"position_id": 3222, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[4]/span[2]"}, {"position_id": 3224, "txt": "\"instruction\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[4]/span[3]"}, {"position_id": 3226, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[4]/span[3]"}, {"position_id": 3228, "txt": "# instruction to describe the chain for other workflows", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[4]/span[4]"}, {"position_id": 3230, "txt": "cumulative", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[5]/span[1]"}, {"position_id": 3232, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[5]/span[2]"}, {"position_id": 3234, "txt": "False", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[5]/span[3]"}, {"position_id": 3236, "txt": "# whether to accumulate messages through the chain", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[5]/span[4]"}, {"position_id": 3238, "txt": "continue_with_final", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[6]/span[1]"}, {"position_id": 3240, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[6]/span[2]"}, {"position_id": 3242, "txt": "True", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[6]/span[3]"}, {"position_id": 3244, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[6]/span[3]"}, {"position_id": 3246, "txt": "# open chat with agent at end of chain after prompting", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[6]/span[4]"}, {"position_id": 3248, "txt": ")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[36]/pre/span[7]"}]}, "tags": [], "label": "code", "web_segment_id": 92, "global_sentence_id": 114, "edu_l1_label": "EDU_O"}, {"txt": "Parallel", "language": "english", "position": {"atoms": [{"position_id": 3250, "txt": "Parallel", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[37]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 94, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "@fast.parallel(name=\"parallel\", # name of the parallel workflowfan_out=[\"agent1\", \"agent2\"], # list of agents to run in parallelfan_in=\"aggregator\", # name of agent that combines results (optional)instruction=\"instruction\", # instruction to describe the parallel for other workflowsinclude_request=True, # include original request in fan-in message)", "language": "english", "position": {"atoms": [{"position_id": 3252, "txt": "@", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[1]"}, {"position_id": 3254, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[1]/span[1]"}, {"position_id": 3256, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[1]/span[1]"}, {"position_id": 3258, "txt": "parallel", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[1]/span[2]"}, {"position_id": 3260, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[1]/span[2]"}, {"position_id": 3262, "txt": "name", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[2]/span[1]"}, {"position_id": 3264, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[2]/span[2]"}, {"position_id": 3266, "txt": "\"parallel\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[2]/span[3]"}, {"position_id": 3268, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[2]/span[3]"}, {"position_id": 3270, "txt": "# name of the parallel workflow", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[2]/span[4]"}, {"position_id": 3272, "txt": "fan_out", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[3]/span[1]"}, {"position_id": 3274, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[3]/span[2]"}, {"position_id": 3276, "txt": "[", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[3]/span[2]"}, {"position_id": 3278, "txt": "\"agent1\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[3]/span[3]"}, {"position_id": 3280, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[3]/span[3]"}, {"position_id": 3282, "txt": "\"agent2\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[3]/span[4]"}, {"position_id": 3284, "txt": "], ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[3]/span[4]"}, {"position_id": 3286, "txt": "# list of agents to run in parallel", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[3]/span[5]"}, {"position_id": 3288, "txt": "fan_in", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[4]/span[1]"}, {"position_id": 3290, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[4]/span[2]"}, {"position_id": 3292, "txt": "\"aggregator\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[4]/span[3]"}, {"position_id": 3294, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[4]/span[3]"}, {"position_id": 3296, "txt": "# name of agent that combines results (optional)", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[4]/span[4]"}, {"position_id": 3298, "txt": "instruction", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[5]/span[1]"}, {"position_id": 3300, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[5]/span[2]"}, {"position_id": 3302, "txt": "\"instruction\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[5]/span[3]"}, {"position_id": 3304, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[5]/span[3]"}, {"position_id": 3306, "txt": "# instruction to describe the parallel for other workflows", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[5]/span[4]"}, {"position_id": 3308, "txt": "include_request", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[6]/span[1]"}, {"position_id": 3310, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[6]/span[2]"}, {"position_id": 3312, "txt": "True", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[6]/span[3]"}, {"position_id": 3314, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[6]/span[3]"}, {"position_id": 3316, "txt": "# include original request in fan-in message", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[6]/span[4]"}, {"position_id": 3318, "txt": ")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[38]/pre/span[7]"}]}, "tags": [], "label": "code", "web_segment_id": 95, "global_sentence_id": 116, "edu_l1_label": "EDU_O"}, {"txt": "Evaluator-Optimizer", "language": "english", "position": {"atoms": [{"position_id": 3320, "txt": "Evaluator-Optimizer", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[39]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 97, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "@fast.evaluator_optimizer(name=\"researcher\", # name of the workflowgenerator=\"web_searcher\", # name of the content generator agentevaluator=\"quality_assurance\", # name of the evaluator agentmin_rating=\"GOOD\", # minimum acceptable quality (EXCELLENT, GOOD, FAIR, POOR)max_refinements=3, # maximum number of refinement iterations)", "language": "english", "position": {"atoms": [{"position_id": 3322, "txt": "@", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[1]"}, {"position_id": 3324, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[1]/span[1]"}, {"position_id": 3326, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[1]/span[1]"}, {"position_id": 3328, "txt": "evaluator_optimizer", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[1]/span[2]"}, {"position_id": 3330, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[1]/span[2]"}, {"position_id": 3332, "txt": "name", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[2]/span[1]"}, {"position_id": 3334, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[2]/span[2]"}, {"position_id": 3336, "txt": "\"researcher\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[2]/span[3]"}, {"position_id": 3338, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[2]/span[3]"}, {"position_id": 3340, "txt": "# name of the workflow", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[2]/span[4]"}, {"position_id": 3342, "txt": "generator", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[3]/span[1]"}, {"position_id": 3344, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[3]/span[2]"}, {"position_id": 3346, "txt": "\"web_searcher\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[3]/span[3]"}, {"position_id": 3348, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[3]/span[3]"}, {"position_id": 3350, "txt": "# name of the content generator agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[3]/span[4]"}, {"position_id": 3352, "txt": "evaluator", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[4]/span[1]"}, {"position_id": 3354, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[4]/span[2]"}, {"position_id": 3356, "txt": "\"quality_assurance\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[4]/span[3]"}, {"position_id": 3358, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[4]/span[3]"}, {"position_id": 3360, "txt": "# name of the evaluator agent", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[4]/span[4]"}, {"position_id": 3362, "txt": "min_rating", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[5]/span[1]"}, {"position_id": 3364, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[5]/span[2]"}, {"position_id": 3366, "txt": "\"GOOD\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[5]/span[3]"}, {"position_id": 3368, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[5]/span[3]"}, {"position_id": 3370, "txt": "# minimum acceptable quality (EXCELLENT, GOOD, FAIR, POOR)", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[5]/span[4]"}, {"position_id": 3372, "txt": "max_refinements", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[6]/span[1]"}, {"position_id": 3374, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[6]/span[2]"}, {"position_id": 3376, "txt": "3", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[6]/span[3]"}, {"position_id": 3378, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[6]/span[3]"}, {"position_id": 3380, "txt": "# maximum number of refinement iterations", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[6]/span[4]"}, {"position_id": 3382, "txt": ")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[40]/pre/span[7]"}]}, "tags": [], "label": "code", "web_segment_id": 98, "global_sentence_id": 118, "edu_l1_label": "EDU_O"}, {"txt": "Router", "language": "english", "position": {"atoms": [{"position_id": 3384, "txt": "Router", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[41]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 100, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "@fast.router(name=\"route\", # name of the routeragents=[\"agent1\", \"agent2\", \"agent3\"], # list of agent names router can delegate tomodel=\"o3-mini.high\", # specify routing modeluse_history=False, # router maintains conversation historyhuman_input=False, # whether router can request human input)", "language": "english", "position": {"atoms": [{"position_id": 3386, "txt": "@", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[1]"}, {"position_id": 3388, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[1]/span[1]"}, {"position_id": 3390, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[1]/span[1]"}, {"position_id": 3392, "txt": "router", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[1]/span[2]"}, {"position_id": 3394, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[1]/span[2]"}, {"position_id": 3396, "txt": "name", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[2]/span[1]"}, {"position_id": 3398, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[2]/span[2]"}, {"position_id": 3400, "txt": "\"route\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[2]/span[3]"}, {"position_id": 3402, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[2]/span[3]"}, {"position_id": 3404, "txt": "# name of the router", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[2]/span[4]"}, {"position_id": 3406, "txt": "agents", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[3]/span[1]"}, {"position_id": 3408, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[3]/span[2]"}, {"position_id": 3410, "txt": "[", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[3]/span[2]"}, {"position_id": 3412, "txt": "\"agent1\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[3]/span[3]"}, {"position_id": 3414, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[3]/span[3]"}, {"position_id": 3416, "txt": "\"agent2\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[3]/span[4]"}, {"position_id": 3418, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[3]/span[4]"}, {"position_id": 3420, "txt": "\"agent3\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[3]/span[5]"}, {"position_id": 3422, "txt": "], ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[3]/span[5]"}, {"position_id": 3424, "txt": "# list of agent names router can delegate to", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[3]/span[6]"}, {"position_id": 3426, "txt": "model", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[4]/span[1]"}, {"position_id": 3428, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[4]/span[2]"}, {"position_id": 3430, "txt": "\"o3-mini.high\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[4]/span[3]"}, {"position_id": 3432, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[4]/span[3]"}, {"position_id": 3434, "txt": "# specify routing model", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[4]/span[4]"}, {"position_id": 3436, "txt": "use_history", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[5]/span[1]"}, {"position_id": 3438, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[5]/span[2]"}, {"position_id": 3440, "txt": "False", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[5]/span[3]"}, {"position_id": 3442, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[5]/span[3]"}, {"position_id": 3444, "txt": "# router maintains conversation history", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[5]/span[4]"}, {"position_id": 3446, "txt": "human_input", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[6]/span[1]"}, {"position_id": 3448, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[6]/span[2]"}, {"position_id": 3450, "txt": "False", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[6]/span[3]"}, {"position_id": 3452, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[6]/span[3]"}, {"position_id": 3454, "txt": "# whether router can request human input", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[6]/span[4]"}, {"position_id": 3456, "txt": ")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[42]/pre/span[7]"}]}, "tags": [], "label": "code", "web_segment_id": 101, "global_sentence_id": 120, "edu_l1_label": "EDU_O"}, {"txt": "Orchestrator", "language": "english", "position": {"atoms": [{"position_id": 3458, "txt": "Orchestrator", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[43]/h4"}]}, "tags": ["h4"], "label": "title3", "web_segment_id": 103, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "@fast.orchestrator(name=\"orchestrator\", # name of the orchestratorinstruction=\"instruction\", # base instruction for the orchestratoragents=[\"agent1\", \"agent2\"], # list of agent names this orchestrator can usemodel=\"o3-mini.high\", # specify orchestrator planning modeluse_history=False, # orchestrator doesn't maintain chat history (no effect).human_input=False, # whether orchestrator can request human inputplan_type=\"full\", # planning approach: \"", "language": "english", "position": {"atoms": [{"position_id": 3460, "txt": "@", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[1]"}, {"position_id": 3462, "txt": "fast", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[1]/span[1]"}, {"position_id": 3464, "txt": ".", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[1]/span[1]"}, {"position_id": 3466, "txt": "orchestrator", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[1]/span[2]"}, {"position_id": 3468, "txt": "(", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[1]/span[2]"}, {"position_id": 3470, "txt": "name", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[2]/span[1]"}, {"position_id": 3472, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[2]/span[2]"}, {"position_id": 3474, "txt": "\"orchestrator\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[2]/span[3]"}, {"position_id": 3476, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[2]/span[3]"}, {"position_id": 3478, "txt": "# name of the orchestrator", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[2]/span[4]"}, {"position_id": 3480, "txt": "instruction", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[3]/span[1]"}, {"position_id": 3482, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[3]/span[2]"}, {"position_id": 3484, "txt": "\"instruction\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[3]/span[3]"}, {"position_id": 3486, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[3]/span[3]"}, {"position_id": 3488, "txt": "# base instruction for the orchestrator", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[3]/span[4]"}, {"position_id": 3490, "txt": "agents", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[4]/span[1]"}, {"position_id": 3492, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[4]/span[2]"}, {"position_id": 3494, "txt": "[", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[4]/span[2]"}, {"position_id": 3496, "txt": "\"agent1\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[4]/span[3]"}, {"position_id": 3498, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[4]/span[3]"}, {"position_id": 3500, "txt": "\"agent2\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[4]/span[4]"}, {"position_id": 3502, "txt": "], ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[4]/span[4]"}, {"position_id": 3504, "txt": "# list of agent names this orchestrator can use", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[4]/span[5]"}, {"position_id": 3506, "txt": "model", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[5]/span[1]"}, {"position_id": 3508, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[5]/span[2]"}, {"position_id": 3510, "txt": "\"o3-mini.high\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[5]/span[3]"}, {"position_id": 3512, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[5]/span[3]"}, {"position_id": 3514, "txt": "# specify orchestrator planning model", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[5]/span[4]"}, {"position_id": 3516, "txt": "use_history", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[6]/span[1]"}, {"position_id": 3518, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[6]/span[2]"}, {"position_id": 3520, "txt": "False", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[6]/span[3]"}, {"position_id": 3522, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[6]/span[3]"}, {"position_id": 3524, "txt": "# orchestrator doesn't maintain chat history (no effect).", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[6]/span[4]"}, {"position_id": 3526, "txt": "human_input", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[7]/span[1]"}, {"position_id": 3528, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[7]/span[2]"}, {"position_id": 3530, "txt": "False", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[7]/span[3]"}, {"position_id": 3532, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[7]/span[3]"}, {"position_id": 3534, "txt": "# whether orchestrator can request human input", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[7]/span[4]"}, {"position_id": 3536, "txt": "plan_type", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[8]/span[1]"}, {"position_id": 3538, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[8]/span[2]"}, {"position_id": 3540, "txt": "\"full\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[8]/span[3]"}, {"position_id": 3542, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[8]/span[3]"}, {"position_id": 3544, "txt": "# planning approach: \"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[8]/span[4]"}]}, "tags": [], "label": "code", "web_segment_id": 104, "global_sentence_id": 122, "edu_l1_label": "EDU_O"}, {"txt": "full\" or \"iterative\"max_iterations=5, # maximum number of full plan attempts, or iterations)", "language": "english", "position": {"atoms": [{"position_id": 3545, "txt": "full\" or \"iterative\"", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[8]/span[4]"}, {"position_id": 3547, "txt": "max_iterations", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[9]/span[1]"}, {"position_id": 3549, "txt": "=", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[9]/span[2]"}, {"position_id": 3551, "txt": "5", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[9]/span[3]"}, {"position_id": 3553, "txt": ", ", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[9]/span[3]"}, {"position_id": 3555, "txt": "# maximum number of full plan attempts, or iterations", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[9]/span[4]"}, {"position_id": 3557, "txt": ")", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[44]/pre/span[10]"}]}, "tags": [], "label": "code", "web_segment_id": 104, "global_sentence_id": 123, "edu_l1_label": "EDU_O"}, {"txt": "Multimodal Support", "language": "english", "position": {"atoms": [{"position_id": 3559, "txt": "Multimodal Support", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/div[45]/h3"}]}, "tags": ["h3"], "label": "title2", "web_segment_id": 106, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "Add Resources to prompts using either the inbuilt prompt-server or MCP Types directly.", "language": "english", "position": {"atoms": [{"position_id": 3561, "txt": "Add Resources to prompts using either the inbuilt ", "x": 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are welcome - feel free to raise issues to discuss.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[48]"}]}, "tags": [], "label": "content", "web_segment_id": 129, "global_sentence_id": 158, "edu_l1_label": "EDU_O"}, {"txt": " Full guidelines for contributing and roadmap coming very soon.", "language": "english", "position": {"atoms": [{"position_id": 3711, "txt": " Full guidelines for contributing and roadmap coming very soon.", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[48]"}]}, "tags": [], "label": "O", "web_segment_id": 129, "global_sentence_id": 159, "edu_l1_label": "EDU_O"}, {"txt": " Get in touch!", "language": "english", "position": {"atoms": [{"position_id": 3712, "txt": " Get in touch!", "x": "/html/body/div[1]/div[4]/div/main/turbo-frame/div/div/div/div/div[1]/react-partial/div/div/div[3]/div[2]/div/div[2]/article/p[48]"}]}, "tags": [], "label": "O", "web_segment_id": 129, "global_sentence_id": 160, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# fast-agent: Define, Prompt and Test MCP enabled Agents and Workflows ## Overview ### Agent Application Development ## Get started: ### Basic Agents ### Combining Agents and using MCP Servers ## Workflows ### Chain ### Human Input ### Parallel ### Evaluator-Optimizer ### Router ### Orchestrator ## Agent Features ### Calling Agents ### Defining Agents #### Basic Agent #### Chain #### Parallel #### Evaluator-Optimizer #### Router #### Orchestrator ### Multimodal Support #### MCP Tool Result Conversion ### Prompts ### Sampling ### Secrets File ### Interactive Shell ## Project Notes ### Contributing
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# A2A and MCP: Start of the AI Agent Protocol Wars? ## Why AI Protocols Are a Battleground ## What is Google’s A2A? ### How A2A Works: A Protocol for Multi-agent Systems ## What is Anthropic’s MCP? ### How MCP Works: A Protocol for Context-Driven Agent-Tool Communication ## Are A2A and MCP Addressing Different Use Cases? ## Is Google Challenging MCP with A2A? ## Why Did Google Build A2A? ## A2A or MCP? Simplicity Will Win ## The Future of AI Protocols and Agents ### Run Your AI Agents and Remote MCP Servers on Koyeb
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{"entry_id": "03e4bce1-b402-420c-8fcd-bb5a3633d4ab", "infos": [{"txt": "A Longitudinal Study of Child Wellbeing Assessment via Online Interactions with a Social Robot", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.119, 0.115, 0.798, 0.135], [0.119, 0.137, 0.292, 0.157]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 3, "global_sentence_id": 0, "edu_l1_label": "BOT"}, {"txt": "NIDA ITRAT ABBASI, Department of Computer Science and Technology, University of Cambridge, UK", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 100000, "bbox": [[0.12, 0.167, 0.761, 0.183]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 8, "global_sentence_id": 1, "edu_l1_label": "EDU_O"}, {"txt": "GUY LABAN, Department of Computer Science and Technology, University of Cambridge, UK", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 200000, "bbox": [[0.12, 0.188, 0.702, 0.203]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 9, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "TAMSIN FORD, Department of Psychiatry, University of Cambridge, UK", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.12, 0.208, 0.574, 0.224]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 10, "global_sentence_id": 3, "edu_l1_label": "EDU_O"}, {"txt": "PETER B. 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"content", "web_segment_id": 0, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "Findings from this work afrm the potential of using online mediated interactions with robots for the assessment of the mental wellbeing of children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.442, 0.464, 0.82, 0.478], [0.12, 0.48, 0.542, 0.494]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "1INTRODUCTION", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.12, 0.517, 0.257, 0.532]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 19, "edu_l1_label": "BOS"}, {"txt": "国", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.027, 0.344, 0.055, 0.364]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 20, "edu_l1_label": "EDU_O"}, {"txt": "Research into Socially Assistive Robots (SARs) in children’s lives have become increasingly prevalent, addressing theirpotential roles in education [51, 121], autism interventions [106] and more recently in the feld of mental health [3, 4].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.12, 0.538, 0.82, 0.553], [0.12, 0.555, 0.822, 0.571]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "Children have been shown to consider robots as companions and peers because of the non-intimidating, engaging nature of SARs that provide an interactive, responsive and non-judgemental platform for children to feel comfortable [33, 61].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.12, 0.572, 0.82, 0.588], [0.12, 0.589, 0.82, 0.605], [0.12, 0.607, 0.167, 0.622]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "However, interacting with SARs usually involves visiting a laboratory and thus providing logistical restrictions in availability and accessibility.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.167, 0.607, 0.82, 0.622], [0.12, 0.624, 0.303, 0.64]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "In sensitive domains like mental health, emotional stigma, shame and attitudes towards seeking help (for example, from therapists [122], online support initiatives [128] and wellbeing applications [95]) may afect self-disclosure in children [29, 111].In addition, children’s inclinations to openly express their emotions are alsoheavily infuenced by their gender as boys have been observed to show increased hesitation towards disclosing their genuine feelings compared to girls [23].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.303, 0.624, 0.82, 0.64], [0.12, 0.641, 0.82, 0.657], [0.12, 0.659, 0.82, 0.674], [0.12, 0.676, 0.82, 0.692], [0.12, 0.693, 0.357, 0.709]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "SARs have been shown to help with mood estimation [41] and improvement [71], alleviating anxiety during painful medical procedures [101] and identifying bullying instances among children [15].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.136, 0.711, 0.82, 0.726], [0.12, 0.728, 0.623, 0.744]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "However, most of these studies have involved visits to unfamiliar environments like university laboratories or hospitals that might afect children’s", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.623, 0.728, 0.82, 0.744], [0.12, 0.745, 0.82, 0.761]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "Authors’ addresses:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.12, 0.776, 0.211, 0.788]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 27, "edu_l1_label": "EDU_O"}, {"txt": " Nida Itrat Abbasi, [email protected], Department of Computer Science and Technology, University of Cambridge, UK; Guy Laban,[email protected], Department of Computer Science and Technology, University of Cambridge, UK; Tamsin Ford, [email protected], Department of Psychiatry, University of Cambridge, UK; Peter B. Jones, [email protected], Department of Psychiatry, University of Cambridge, UK; Hatice Gunes, [email protected], Department of Computer Science and Technology, University of Cambridge, UK.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.211, 0.776, 0.821, 0.788], [0.12, 0.789, 0.82, 0.801], [0.12, 0.801, 0.821, 0.813], [0.12, 0.814, 0.584, 0.826]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 28, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.813, 0.832, 0.82, 0.84]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 29, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.806, 0.089, 0.881, 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"position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.822, 0.206, 0.88, 0.222], [0.18, 0.224, 0.88, 0.239], [0.179, 0.241, 0.88, 0.257], [0.18, 0.258, 0.582, 0.274]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "For instance, CMC interactions with social robotshave been leveraged to support informal caregivers [73], who often struggle to fnd time and energy for self-care, leading to overlooked health issues [98].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.582, 0.258, 0.88, 0.274], [0.18, 0.276, 0.882, 0.291], [0.18, 0.293, 0.421, 0.308]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "This approach ofers them the opportunity to discuss their concerns with an online-mediated robot, ensuring continuous support in their natural environments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.421, 0.293, 0.88, 0.308], [0.18, 0.31, 0.674, 0.326]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "These strategies not only enhance the accessibility of emotional well-being interventions to a wider range of populations, thereby promoting inclusivity and diversity but also enable the generalization of HRI research fndings to diverse groups that may be restricted from participating in in-person studies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.674, 0.31, 0.88, 0.326], [0.18, 0.327, 0.88, 0.343], [0.18, 0.345, 0.88, 0.36], [0.18, 0.362, 0.381, 0.378]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "Despite concerns about the loss of physical embodiment, recent studies have found no signifcant diferences in participants’ perceptions and interactions with robots in virtual versus in-person settings[42, 43, 52, 69], providing strong evidence for the efcacy of CMC as an alternative means for HRI experimentation, especially in unique settings such as CRI with children from around the world.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.381, 0.362, 0.88, 0.378], [0.18, 0.379, 0.88, 0.395], [0.18, 0.397, 0.882, 0.412], [0.18, 0.414, 0.656, 0.43]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "Thus, having a robotic platform that children can interact with in an environment familiar to them, and that can take into account any predispositions in their attitudes, especially in the context of mental wellbeing assessment, might help them to be more candid about their feelings and experiences.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.656, 0.414, 0.88, 0.43], [0.18, 0.431, 0.88, 0.447], [0.18, 0.448, 0.88, 0.464], [0.18, 0.466, 0.329, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "In the context of long-term HRI, SARs have been shown to provide emotional support and companionship to the elderly who formed strong bonds with the robot over long-term interactions [127].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.196, 0.483, 0.88, 0.499], [0.18, 0.5, 0.664, 0.516]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "Even online longitudinal interaction with robots has been shown to enhance mood, mitigate feelings of loneliness and promote self-disclosure in adults [71].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.664, 0.5, 0.88, 0.516], [0.179, 0.518, 0.88, 0.533], [0.18, 0.535, 0.207, 0.551]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "Thus, in this work, we present the frst study that has explored whether longitudinal online interactions with a robot can be used for the assessment of mental wellbeing in children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.207, 0.535, 0.88, 0.551], [0.18, 0.552, 0.595, 0.568]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "Further, we have explored whether co-location afects robotised wellbeing assessment by comparing our research fndings with our prior investigation [3, 4] that has involved SARs for the assessment of mental wellbeing through an in-lab setting.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.595, 0.552, 0.88, 0.568], [0.18, 0.57, 0.88, 0.585], [0.18, 0.587, 0.688, 0.602]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "We also provide an exploratory supplementary investigation into whether the gender of the participants afects the longitudinal assessment of mental wellbeing of children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.688, 0.587, 0.88, 0.602], [0.18, 0.604, 0.88, 0.62], [0.179, 0.621, 0.314, 0.637]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "For this purpose, we have gathered data from 40 children (20 girls and 20 boys, 8-13 years old) who interacted with a Nao robot (SoftBank Robotics), over the course of three sessions for about 30-45 mins in each session.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.314, 0.621, 0.88, 0.637], [0.18, 0.639, 0.88, 0.654], [0.18, 0.656, 0.258, 0.672]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "Our primary fndings suggest that (i) online interactions with the robot (using Zoom or Skype) can be efective in the assessment of mental wellbeing of children, and (ii) user perception of the robot largely improved or remained unchanged throughout the course of the three online sessions and was afected by the physical presence of the robot especially in the case of anxiety attributed towards the robot and the perceived intelligence of the robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.258, 0.656, 0.88, 0.672], [0.18, 0.673, 0.88, 0.689], [0.18, 0.691, 0.88, 0.706], [0.18, 0.708, 0.882, 0.724]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "Our supplementary exploratory analyses have revealed that gender-based variability has been observed in terms of the longitudinal robot-assisted assessments as well as the children’s perception of robot’s behaviour and capabilities.We found that robot-assisted assessment was able to amplify the diferences across varying levels of wellbeing for both boys and girls for the frst session and only for boys for the second session.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.18, 0.725, 0.88, 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"web_segment_id": 0, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "As mentioned above, our", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.725, 0.812, 0.88, 0.827]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.119, 0.087, 0.7, 0.102]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 54, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.81, 0.09, 0.821, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 55, "edu_l1_label": "EDU_O"}, {"txt": "fndings indicate that even in an online setting, robotised frameworks can be used to efectively diferentiate between children belonging to varying levels of wellbeing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.12, 0.12, 0.82, 0.135], [0.12, 0.137, 0.419, 0.153]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "This consistency reinforces the adaptability and robustness of our approach paving the way for broader applications, across diferent settings, in assessing children’s wellbeing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.419, 0.137, 0.82, 0.153], [0.12, 0.154, 0.765, 0.17]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "We hopethat the fndings from this work can provide a valuable stepping-stone for upcoming robot-led initiatives that are more accessible to children for the assessment of their mental wellbeing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.765, 0.154, 0.82, 0.17], [0.12, 0.172, 0.82, 0.187], [0.12, 0.189, 0.519, 0.205]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "2RELATED WORKS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.12, 0.222, 0.266, 0.236]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 6, "global_sentence_id": 59, "edu_l1_label": "BOS"}, {"txt": "2.1Wellbeing Assessments", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.12, 0.243, 0.308, 0.258]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "According to ofcial government statistics published in 20231, about 20.3 % of children (8-16 years) in the UK have probable mental health disorder.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.119, 0.264, 0.82, 0.28], [0.12, 0.281, 0.312, 0.297]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "Early identifcation of mental wellbeing concerns is customary for the future welfare of children in order to mitigate any long-lasting consequences concerning their emotional wellness, social relationships and academic performance [113].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.312, 0.281, 0.82, 0.297], [0.12, 0.299, 0.82, 0.314], [0.12, 0.316, 0.32, 0.331]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "In the UK, several governmental [20, 40] and non-governmental [18, 82] initiatives have been conducted to understand the mental health of children and young people.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.32, 0.316, 0.82, 0.331], [0.12, 0.333, 0.623, 0.349]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "Figure 1 (a) shows a depiction of the mental wellbeing assessment pipelines followed by some of these initiatives.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.623, 0.333, 0.82, 0.349], [0.12, 0.35, 0.589, 0.366]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "The pipeline is not standardised across all clinical and research assessments concerning the mental health of children conducted in the UK.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.589, 0.35, 0.82, 0.366], [0.12, 0.368, 0.7, 0.383]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "In children’s mentalhealth evaluations for research endeavours, once consent has been provided by the parents or legal guardians, mental health assessments are usually conducted by lay interviewers or through online forms.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.7, 0.368, 0.82, 0.383], [0.12, 0.385, 0.82, 0.401], [0.12, 0.402, 0.632, 0.418]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "These assessments [e.g., 40, 82] usually follow structured or semi-structured interviews designed to measure several aspects of children’s mental healthincluding their emotional wellbeing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.632, 0.402, 0.82, 0.418], [0.12, 0.42, 0.82, 0.435], [0.12, 0.437, 0.34, 0.453]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "When conducted for research aims, this evaluation would be for screening and assessment and not for formal clinical diagnosis and follow-up treatment.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.34, 0.437, 0.82, 0.453], [0.12, 0.454, 0.56, 0.47]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "However, these initiatives rely heavily on the assumption that the recorded responses of the children are authentic and representative of their true feelings [123].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.136, 0.471, 0.82, 0.487], [0.12, 0.489, 0.393, 0.504]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "Children’s responses might be infuenced by their reluctance to divulgesensitive information about themselves or being intimidated by the presence of other adults in the room whom they might consider authority fgures [92].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.393, 0.489, 0.82, 0.504], [0.12, 0.506, 0.82, 0.522], [0.12, 0.523, 0.342, 0.539]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "As such, they may provide socially desirable answers that might not refect their genuine thoughts and emotions [45, 90, 123].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.342, 0.523, 0.82, 0.539], [0.12, 0.541, 0.393, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "Previous studies have shown that people gradually open up to robots over time [71], with those experiencing negative emotional states being more likely to share extensively with robots [70].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.393, 0.541, 0.82, 0.556], [0.12, 0.558, 0.82, 0.574], [0.12, 0.575, 0.148, 0.591]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "Furthermore, SARs have been shown to be very efective in establishing trust particularly with children [34], who have often attributed robots as peers and friends [39, 58].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.148, 0.575, 0.822, 0.591], [0.119, 0.593, 0.488, 0.608]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "As such, robots could potentially be a valuable addition to children’s mental wellbeing assessment pipeline (Figure 1 (b)) possibly eliciting more candid responses from thechildren that accurately represent their feelings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.488, 0.593, 0.82, 0.608], [0.12, 0.61, 0.82, 0.626], [0.12, 0.627, 0.407, 0.643]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "In addition, robots’ multimodal sensing capabilities can be leveragedto identify non-verbal cues that extends children’s verbal responses, garnering insights from children’s behaviour suchas their facial expressions and vocal tone.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.407, 0.627, 0.82, 0.643], [0.12, 0.644, 0.82, 0.66], [0.12, 0.662, 0.371, 0.677]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "Consequently, critical observations can be fagged for child mental health practitioners to facilitate a diagnosis so that necessary support, if needed, can be provided at an early stage [see similar discussion in 67].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.371, 0.662, 0.82, 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{"txt": "For instance, apps providing cognitive behavioral therapy (CBT), mood tracking, and emotional regulation strategies have gained popularity for their ability", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.594, 0.767, 0.82, 0.783], [0.12, 0.784, 0.82, 0.8]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.118, 0.815, 0.678, 0.828]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 80, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.805, 0.088, 0.882, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, 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(a) Pipeline showing the procedure for mental wellbeing assessment of children in the UK [18, 40, 82]. This pipeline is representative of certain assessment scenarios and is not standardised across all clinical and research assessments conducted in the UK. (b) Proposed robotised mental health assessment pipeline", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.176, 0.376, 0.884, 0.418]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 84, "edu_l1_label": "EDU_O"}, {"txt": "to scale and deliver interventions to underserved populations [48].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.18, 0.445, 0.572, 0.46]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "Mobile apps specifcally designed for children, such as those targeting emotional self-awareness and mood monitoring, have shown potential to engage young users and ofer additional support outside of traditional clinical settings [96].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.572, 0.445, 0.88, 0.46], [0.18, 0.462, 0.88, 0.478], [0.18, 0.479, 0.573, 0.495]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "However, concerns regarding the lack of regulatory oversight, as well as limited evidence on the efectiveness and safety of many commercially available apps, present signifcant challenges in their widespread adoption and clinical recommendation [46].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.573, 0.479, 0.88, 0.495], [0.18, 0.497, 0.88, 0.512], [0.18, 0.514, 0.687, 0.53]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "Socially Assistive Robots (SARs) present an alternative approach, ofering a unique advantage through their physical cues of embodiment and interactive capabilities [67].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.687, 0.514, 0.881, 0.53], [0.18, 0.531, 0.88, 0.547], [0.18, 0.549, 0.277, 0.564]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "Unlike mobile apps, SARs engage users in multimodal interactions, incorporating voice, gestures, and facial expressions to foster rapport and elicit richer self-disclosures [66, 67, 115, 116].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.277, 0.549, 0.88, 0.564], [0.18, 0.566, 0.694, 0.582]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "The embodied nature of SARs allows for more naturalistic social interactions, which is particularly benefcial in mental health settings where trust and empathy are critical [21].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.694, 0.566, 0.88, 0.582], [0.18, 0.583, 0.88, 0.599], [0.18, 0.6, 0.354, 0.616]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "This interactive and dynamic form of engagement is especially important when working with children, who often require a playful and empathetic approach to feel comfortable discussing their mental state [102].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.354, 0.6, 0.88, 0.616], [0.179, 0.618, 0.88, 0.633], [0.18, 0.635, 0.214, 0.651]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "Therefore, the use of SARs in this context can be a powerful tool for clinicians aiming to assess and support the emotional well-being of children in a non-threatening, child-friendly manner.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.214, 0.635, 0.88, 0.651], [0.18, 0.652, 0.643, 0.668]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "2.3Child robot interaction (CRI) in mental health.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.18, 0.686, 0.523, 0.701]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "Exploring health and wellbeing applications has been an emerging frontier in CRI literature.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, 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"web_segment_id": 1, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "Rossi et al [101] have investigated how robots have been used to alleviate stress and anxiety in children in hospital consultations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.247, 0.759, 0.88, 0.774], [0.18, 0.776, 0.312, 0.792]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "Henkemans et al [50] have used robots to provide motivation to children for self-management of diabetes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.312, 0.776, 0.88, 0.792], [0.18, 0.793, 0.231, 0.809]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "Meghdari et al [84] have observed that social robots provide comfort to pediatric cancer patients.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.231, 0.793, 0.805, 0.809]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "Robots have also been used to investigate cases of bullying in children [15].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.805, 0.793, 0.88, 0.809], [0.18, 0.81, 0.554, 0.826]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "More recently, SARs have been successfully employed", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.554, 0.81, 0.88, 0.826]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, 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"Fig. 2. (a) Researcher view of the experimental setup, (b) Participant view of the interaction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.282, 0.317, 0.777, 0.332]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 134, "edu_l1_label": "EDU_O"}, {"txt": "reported higher self-perceived positive afect when interacting with a robot as compared to the female participants.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.18, 0.371, 0.882, 0.387]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": "Further, Strait et al [119] showed a diference in perceived ratings between males and females in relation to changes in verbal and non-verbal behaviours of the robot (i.e.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.18, 0.389, 0.88, 0.404], [0.18, 0.406, 0.48, 0.421]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "women reacted favourably to increased politeness from the robot).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.48, 0.406, 0.882, 0.421]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "Therefore, in order to develop a holistic understanding of the mental wellbeing of the current and future generations, it is important to account for gender-related diferences when designing robot-assisted assessment tools for children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.18, 0.423, 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"position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.18, 0.515, 0.712, 0.531]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "It has also been shown that wellbeing is infuenced by multiple factors (family problems, fnancial issues, academic workload etc.)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.712, 0.515, 0.88, 0.531], [0.179, 0.532, 0.78, 0.548]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "and is subject to change without any warning or discerning pattern [47].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.78, 0.532, 0.88, 0.548], [0.18, 0.55, 0.52, 0.565]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "Thus, we investigated whether and how online interaction (using Zoom or Skype) with a social robot can be used for the longitudinal assessment (three sessions over the course of 3-6 weeks) of mental wellbeing (RQ1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.52, 0.55, 0.88, 0.565], [0.18, 0.567, 0.88, 0.583], [0.18, 0.584, 0.404, 0.6]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "Longitudinal CRI studies have also observed that habituation with the robot leads to children losing interest in the interaction, causing less engagement and attention to tasks [104].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.404, 0.584, 0.88, 0.6], [0.18, 0.601, 0.75, 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"global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "The experiment design for the present work was motivated by our prior investigation examining whether and how a humanoid robot can be used for the evaluation of mental wellbeing of children in a dyadic physical lab setting [1, 3, 4].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.12, 0.214, 0.82, 0.229], [0.12, 0.231, 0.822, 0.247]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "In our in-lab study, we collected data from 41 children2 (21 girls, 20 boys, mean age = 9.58𝑦.𝑜., SD = 1.45𝑦.𝑜.).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.12, 0.248, 0.792, 0.264]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "Theparticipants were recruited from Cambridgeshire, United Kingdom.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.792, 0.248, 0.82, 0.264], [0.12, 0.266, 0.523, 0.281]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "The experimental protocol consisted of the robot following a pre-scripted interaction and conducting the following fve tasks sequentially: (i) Task 0: Icebreaking task; (ii) Task 1: Recall of a happy memory and a sad memory; (iii) Task 2: Short Moods and Feelings Questionnaire (SMFQ) [9]; (iv) Task 3: Picture task inspired by the Child Apperception Test (CAT) [14]; and (v) Task 4: three subscales from the Revised Child Anxiety and Depression Scale (RCADS) [25].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.523, 0.266, 0.82, 0.281], [0.12, 0.283, 0.821, 0.298], [0.12, 0.3, 0.821, 0.316], [0.12, 0.317, 0.82, 0.333], [0.12, 0.335, 0.499, 0.35]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "Further details regarding the experimental setup and procedure can be found in [3],[1] and [4].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.499, 0.335, 0.82, 0.35], [0.12, 0.352, 0.368, 0.368]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "In order to compare whether children’s responses to a robot that is remotely connected via Zoom or Skype diferfrom the children’s responses to a robot that is co-located, in the context of mental wellbeing assessment, a similarexperimental protocol and tasks were adopted for the frst session of this study.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.136, 0.369, 0.82, 0.385], [0.12, 0.387, 0.82, 0.402], [0.12, 0.404, 0.587, 0.42]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "In this paper, we will refer to the study that used online interactions with the robot as the \"remote study\" while our previous study undertaken in the lab introduced in [1, 3, 4] will be referred to as the \"in-lab study\".", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.587, 0.404, 0.82, 0.42], [0.12, 0.421, 0.82, 0.437], [0.12, 0.439, 0.486, 0.454]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "It should be noted that new participants were recruited for the remote study in order to ensure that no individual participated in 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"tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": "The fnal sample size was determined following previous CRI studies yielding similar results with long-term experimental designs [e.g., 6], showing that a fnal sample size of 40 participants is appropriate.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.217, 0.12, 0.88, 0.135], [0.18, 0.137, 0.75, 0.153]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "42 individuals between the ages of 8 and 13 years old were recruited using one of the two recruitment approaches:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.177, 0.156, 0.888, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": " (a) advertising using online fyers that were circulated across the schools, and (b) snowball sampling by leveraging contacts among the research team.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.177, 0.156, 0.888, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "Informed written consent was obtained from the parents/guardians prior to the participation of their children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.177, 0.156, 0.888, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "The recruitment criteria involved exclusion on the basis of any existing neurological or psychological conditions declared by the parents/guardians.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.177, 0.156, 0.888, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": "The recruitment criteria also included that the children were fuent in English which was the medium of communication of the study.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.177, 0.156, 0.888, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": "This was confrmed based on the language of instruction in their respective schools to be English.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.177, 0.156, 0.888, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "The parents were asked to verify this on the consent form.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.177, 0.156, 0.888, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "Two participants were not included in the study mentioned here: one due to technical difculties and another because of the inability to participate in the experiment sessions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.177, 0.156, 0.888, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": "Thus, the fnal sample consisted of 40 participants (20 girls and 20 boys, mean age = 10.04, SD= 1.58).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.177, 0.156, 0.888, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": "One participant turned 14 during the course of the study sessions, however, was included in the study sample as they were 13 at the time of recruitment.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.177, 0.156, 0.888, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "The participants were from diferent parts of the world (Tajikistan: 13, UK: 8, Singapore: 7, Qatar: 6, India: 3, Other: 3) and interacted with the robot remotely using Zoom or Skype.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 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"global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "The lab setup included the robot sitting on a table, in a crouching position with its hands on its legs and the Logitech camera placed about 1.5 m away from the robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.32, 0.441, 0.88, 0.456], [0.18, 0.458, 0.593, 0.474]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 196, "edu_l1_label": "IOS"}, {"txt": "The camera was used to display the robot to the participant on the Zoom or Skype platform.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.593, 0.458, 0.88, 0.474], [0.18, 0.475, 0.447, 0.491]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 197, "edu_l1_label": "IOS"}, {"txt": "In order to enable good audio quality during the experiment 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"edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.18, 0.09, 0.194, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 254, "edu_l1_label": "EDU_O"}, {"txt": "(5) Recording and privacy:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.203, 0.12, 0.364, 0.135]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": " The children were made aware that they were being recorded and they had the option to end the call as mentioned previously.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.364, 0.12, 0.88, 0.135], [0.227, 0.137, 0.464, 0.153]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 256, "edu_l1_label": "IOS"}, {"txt": "The frst interaction session started with the robot introducing itself, waving to the child, telling some jokes and playing tic tac toe with the child.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.196, 0.16, 0.88, 0.176], [0.18, 0.177, 0.385, 0.193]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "The second interaction session began with the robot giving a brief introduction again about the session, waving to the child, and telling the children some jokes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.385, 0.177, 0.88, 0.193], [0.18, 0.195, 0.662, 0.21]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "Finally, the third interaction session started with the robot introducing the session, waving and playing a guessing game with the children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.662, 0.195, 0.88, 0.21], [0.18, 0.212, 0.785, 0.228]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "The decision to conduct three sessions was informed by prior literature [6, 88] to capture initial reactions as well as allow for a more nuanced understanding of how children would interact with the robot diferently over time.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.785, 0.212, 0.88, 0.228], [0.18, 0.229, 0.88, 0.245], [0.18, 0.246, 0.736, 0.262]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "For all the sessions, the initial introduction task ended with the robot asking the children ice-breaking questions like \"how was your day?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.736, 0.246, 0.88, 0.262], [0.18, 0.264, 0.874, 0.279]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": "\", in order to get the children comfortable with the robot and its capabilities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.874, 0.264, 0.882, 0.279], [0.18, 0.281, 0.631, 0.297]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 262, "edu_l1_label": "IOS"}, {"txt": "After the introduction activity, the robot proceeded to perform the tasks as described in the next section (Sec.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.631, 0.281, 0.88, 0.297], [0.18, 0.298, 0.58, 0.314]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 263, "edu_l1_label": "IOS"}, {"txt": "3.2.5 Study tasks).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.58, 0.298, 0.687, 0.314]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "The activity fow was controlled by the experimenter who was responsible for when the robot should proceed with the task.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.687, 0.298, 0.88, 0.314], [0.18, 0.316, 0.734, 0.331]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 265, "edu_l1_label": "IOS"}, {"txt": "This was determined in accordance with when the child fnished with their responses so that interruptions due to internet connection or the quality of the conference call did not afect the completion of the experiment tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.734, 0.316, 0.88, 0.331], [0.18, 0.333, 0.88, 0.349], [0.18, 0.35, 0.677, 0.366]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": "3.2.5Study tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.18, 0.381, 0.289, 0.394]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 267, "edu_l1_label": "IOS"}, {"txt": "In order to investigate whether co-location with the robot afects wellbeing assessment in children, we followed the experiment tasks of our prior work [3, 4] which consisted of measures that are established standards in HRI and child psychology [17, 22, 35].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.289, 0.381, 0.882, 0.394], [0.179, 0.396, 0.88, 0.411], [0.18, 0.413, 0.406, 0.428]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "The frst session consisted of the following tasks:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.406, 0.413, 0.703, 0.428]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 269, "edu_l1_label": "IOS"}, {"txt": "Task1:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.18, 0.431, 0.223, 0.447]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 270, "edu_l1_label": "IOS"}, {"txt": " The robot asked the children to recall a recent sad and happy memory.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.223, 0.431, 0.673, 0.446]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 271, "edu_l1_label": "IOS"}, {"txt": "If the children responded with a recollection of either of the memories, the robot would then further ask the children to draw the memory on either the whiteboard of the Zoom platform or on a paper present in front of the child.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.673, 0.431, 0.88, 0.446], [0.18, 0.447, 0.88, 0.463], [0.179, 0.465, 0.635, 0.48]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 272, "edu_l1_label": "IOS"}, {"txt": "statements like \"You felt lonely\" from the questionnaire and the child could respond by verbalising their responses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.18, 0.499, 0.854, 0.515]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 273, "edu_l1_label": "IOS"}, {"txt": "The display screen was used to project the response ratings \"Not true\", \"Sometimes\" and \"True\" and the child was instructed by the robot to pick one of the response ratings in accordance with how they were feeling in the last two weeks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.854, 0.499, 0.88, 0.515], [0.18, 0.517, 0.88, 0.532], [0.18, 0.534, 0.852, 0.55]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 274, "edu_l1_label": "IOS"}, {"txt": "Task3: The robot conducted a picture-based task which was inspired by the Child Apperception Test (CAT) [14].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.18, 0.552, 0.853, 0.567]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 275, "edu_l1_label": "IOS"}, {"txt": "The robot showed picture 7 from the CAT in the frst session, using the computer screen and helped the children to form a narrative by asking questions like \"What do you think is happening in this picture?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.853, 0.552, 0.88, 0.567], [0.18, 0.569, 0.88, 0.584], [0.18, 0.586, 0.686, 0.601]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 276, "edu_l1_label": "IOS"}, {"txt": "\", \"What do you think happened before this picture?\"", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.686, 0.586, 0.88, 0.601], [0.18, 0.603, 0.3, 0.619]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 277, "edu_l1_label": "IOS"}, {"txt": "and \"What do you think happened after this picture?\".", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.3, 0.603, 0.625, 0.619]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 278, "edu_l1_label": "IOS"}, {"txt": "The task was used to determine children’swellbeing based on the children’s description of the pictures and the narrative they came up with.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.625, 0.603, 0.88, 0.619], [0.179, 0.62, 0.767, 0.636]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 279, "edu_l1_label": "IOS"}, {"txt": "Similar tasks havealso been used previously in HRI [17].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.767, 0.62, 0.88, 0.636], [0.18, 0.638, 0.407, 0.653]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 280, "edu_l1_label": "IOS"}, {"txt": "Task 4:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.18, 0.656, 0.226, 0.671]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 281, "edu_l1_label": "IOS"}, {"txt": " The robot administered three subscales (generalised anxiety, panic disorder and low mood) from the Revised Child Anxiety and Depression Scale (RCADS) [25].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.226, 0.656, 0.88, 0.671], [0.18, 0.672, 0.49, 0.688]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 282, "edu_l1_label": "IOS"}, {"txt": "The robot made statements in accordance with the items of the questionnaire like \"When you have a problem, your heart beats really fast\".", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.49, 0.672, 0.88, 0.688], [0.18, 0.69, 0.633, 0.705]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 283, "edu_l1_label": "IOS"}, {"txt": "The children were instructed to respond using one of the response ratings \"Never\", \"Sometimes\", \"Often\", and \"Always\" that were displayed on the computer screen", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.633, 0.69, 0.88, 0.705], [0.18, 0.707, 0.88, 0.723], [0.18, 0.724, 0.218, 0.74]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 284, "edu_l1_label": "IOS"}, {"txt": "For study sessions 2 and 3, the order of the tasks was changed in the following manner:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.196, 0.741, 0.738, 0.757]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 285, "edu_l1_label": "IOS"}, {"txt": " (1) Task 1- recalling a recent happy and sad memory, (2) Task 2- the robot conducted the RCADS, and (3) Task 3- the robot administered the picture based task (picture 9 from the CAT in session 2 and picture 10 from the CAT in session 3 [14]).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.738, 0.741, 0.88, 0.757], [0.18, 0.759, 0.88, 0.774], [0.18, 0.776, 0.813, 0.792]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 286, "edu_l1_label": "IOS"}, {"txt": "The SMFQ task was only present in the frst session.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.813, 0.776, 0.88, 0.792], [0.18, 0.793, 0.431, 0.809]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 287, "edu_l1_label": "IOS"}, {"txt": "The experiment sessions concluded with the robot either playing a game with the child (session 1 and session 2) or telling some jokes to the child (session 3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.431, 0.793, 0.88, 0.809], [0.179, 0.811, 0.677, 0.826]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 288, "edu_l1_label": "IOS"}, {"txt": "All three sessions concluded with", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.677, 0.811, 0.88, 0.826]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 289, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.119, 0.087, 0.7, 0.102]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 290, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.805, 0.09, 0.82, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 291, "edu_l1_label": "EDU_O"}, {"txt": "the experimenter conducting the user perception questionnaires.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.12, 0.12, 0.51, 0.135]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 292, "edu_l1_label": "IOS"}, {"txt": "Since one of the aims of this work is to understand whether co-location afects the perception of the robot for mental wellbeing assessment, we adopted the user perception questionnaires employed in our prior work mentioned in [1].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.51, 0.12, 0.82, 0.135], [0.119, 0.137, 0.82, 0.153], [0.12, 0.154, 0.48, 0.17]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 293, "edu_l1_label": "IOS"}, {"txt": "The frst questionnaire was inspired by the questionnaire in [86] to measure the children’s perception of the robot as a confdante.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.48, 0.154, 0.82, 0.17], [0.12, 0.172, 0.569, 0.187]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 294, "edu_l1_label": "IOS"}, {"txt": "Open-ended questions and statement 10(\"Talking with the robot was similar to talking with a stranger\") were excluded.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.569, 0.172, 0.82, 0.187], [0.12, 0.189, 0.609, 0.205]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 295, "edu_l1_label": "IOS"}, {"txt": "The children could respond using Likert ratings: (1) Strongly dislike, (2) Somewhat dislike, (3) Neither like nor dislike, (4) Somewhat like, and (5) Strongly like.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.609, 0.189, 0.82, 0.205], [0.12, 0.206, 0.82, 0.223], [0.12, 0.226, 0.144, 0.239]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 296, "edu_l1_label": "IOS"}, {"txt": "Children’s anxiety towards robots was measured using a questionnaire inspired by the RAS [91].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.144, 0.226, 0.718, 0.239]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 297, "edu_l1_label": "IOS"}, {"txt": "To enable clarityand better understanding for children, statement 3 of RAS was modifed to \"The robot may be unable to understand my stories\", statement 10 was changed to \"Whether the robot understands what I am saying\", and statement 11 was modifed to \"I may be unable to understand what the robot is saying\".", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.718, 0.226, 0.82, 0.239], [0.12, 0.241, 0.82, 0.257], [0.12, 0.258, 0.82, 0.274], [0.12, 0.276, 0.542, 0.291]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 298, "edu_l1_label": "IOS"}, {"txt": "Children could respond by verbalising one of the response ratings: (1) I do not feel anxiety at all, (2) I hardly feel any anxiety, (3) I don’t feel much anxiety, (4) I feel alittle anxiety, (5) I feel much anxiety, and (6) I feel anxiety very strongly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.542, 0.276, 0.82, 0.291], [0.12, 0.293, 0.82, 0.309], [0.12, 0.313, 0.537, 0.326]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 299, "edu_l1_label": "IOS"}, {"txt": "Finally, the third user perception questionnaire was inspired by the Godspeed questionnaire [13].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.537, 0.313, 0.82, 0.326], [0.119, 0.327, 0.413, 0.343]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 300, "edu_l1_label": "IOS"}, {"txt": "We used the likeability and perceived intelligence subsections of the questionnaire and the children could respond using the questionnaire response ratings ranging from one to fve (one corresponded with the negative characteristic like \"ignorant\" and fve corresponded with the positive characteristic like \"knowledgeable\").", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.413, 0.327, 0.82, 0.343], [0.12, 0.345, 0.82, 0.36], [0.12, 0.362, 0.82, 0.378], [0.12, 0.379, 0.225, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 301, "edu_l1_label": "IOS"}, {"txt": "It should be noted that in order to maintain a uniform interaction experience for all participants, the robot behaviour was consistent.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.225, 0.379, 0.82, 0.395], [0.12, 0.397, 0.309, 0.412]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 302, "edu_l1_label": "IOS"}, {"txt": "In other words, the robot did not build of the prior interactions with the participants.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.309, 0.397, 0.822, 0.412]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 303, "edu_l1_label": "IOS"}, {"txt": "3.2.6Measures.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.12, 0.431, 0.219, 0.444]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 4, "global_sentence_id": 304, "edu_l1_label": "IOS"}, {"txt": "The measures used in this work are as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.219, 0.431, 0.504, 0.444]]}]}, "tags": ["title"], "label": "title3", "web_segment_id": 4, "global_sentence_id": 305, "edu_l1_label": "IOS"}, {"txt": "Pre-study questionnaires:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.12, 0.447, 0.293, 0.462]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 306, "edu_l1_label": "IOS"}, {"txt": " Prior to the frst experiment session, Qualtrics online links were sent to parents of the participating children which consisted of two questionnaires to be answered in relation to the children’s wellbeing - (1)Self-report questionnaire (to be answered by the child) consisting of three sub-scales (generalised anxiety, panic disorder and low mood) of the RCADS (Cronbach’s 𝛼= 0.91, mean score = 11.23 ± 9.19), and (2) Parent-report questionnaire (tobe answered by the parent) consisting of three subscales from (generalised anxiety, panic disorder and low mood) of the RCADS (Cronbach’s 𝛼= 0.89, mean score = 9.08 ± 7.54).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.293, 0.447, 0.82, 0.461], [0.12, 0.463, 0.821, 0.479], [0.12, 0.48, 0.82, 0.496], [0.12, 0.497, 0.82, 0.513], [0.12, 0.515, 0.82, 0.53], [0.12, 0.532, 0.485, 0.548]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 307, "edu_l1_label": "IOS"}, {"txt": "The links to these questionnaires were attached in theemail sent after receiving an expression of interest in participation from the parents.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.485, 0.532, 0.82, 0.548], [0.12, 0.549, 0.62, 0.565]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 308, "edu_l1_label": "IOS"}, {"txt": "The children were not allowed to proceed with their frst session until these questionnaires were completed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.62, 0.549, 0.82, 0.565], [0.12, 0.567, 0.554, 0.582]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 309, "edu_l1_label": "IOS"}, {"txt": "Total scores for self-report and parent-report questionnaires were computed separately using the rating scores of the RCADS (never = 0, sometimes = 1, often = 2, always = 3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.554, 0.567, 0.82, 0.582], [0.12, 0.584, 0.822, 0.6], [0.12, 0.601, 0.191, 0.617]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 310, "edu_l1_label": "IOS"}, {"txt": "In-study questionnaires:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.12, 0.62, 0.283, 0.635]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 311, "edu_l1_label": "IOS"}, {"txt": " Our aim in this work is to understand the feasibility of using remote interaction with the robot for wellbeing assessment of children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.283, 0.62, 0.82, 0.634], [0.12, 0.636, 0.373, 0.651]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 312, "edu_l1_label": "IOS"}, {"txt": "As such, we have only included children’s responses to the SMFQ (task 2 inthe frst session; Cronbach’s 𝛼= 0.85, mean score = 6.63 ± 5.44) and the RCADS (task 4 in the frst session and task 2 inthe second and third sessions; Cronbach’s 𝛼= 0.92, mean score = 12.57 ± 10.17) for analyses in this work.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.373, 0.636, 0.82, 0.651], [0.12, 0.653, 0.82, 0.669], [0.12, 0.67, 0.736, 0.686]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 313, "edu_l1_label": "IOS"}, {"txt": "We computedtotal scores from the children’s responses to the SMFQ (not true= 0, sometimes= 1, and true = 2) and the RCADS (never= 0, sometimes = 1, often = 2, always = 3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.736, 0.67, 0.82, 0.686], [0.12, 0.688, 0.82, 0.703], [0.12, 0.705, 0.37, 0.721]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 314, "edu_l1_label": "IOS"}, {"txt": "Post-session questionnaires:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.12, 0.724, 0.309, 0.739]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 315, "edu_l1_label": "IOS"}, {"txt": " The user perception questionnaires were conducted by the experimenter after every experiment session.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.309, 0.724, 0.82, 0.738], [0.12, 0.74, 0.236, 0.755]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 316, "edu_l1_label": "IOS"}, {"txt": "Total scores were computed for the frst user perception questionnaire (Cronbach’s 𝛼= 0.65, meanscore = 34.42 ± 3.74), inspired by [86] to understand children’s perception of the robot as a confdante, using thequestionnaire ratings of 1: Strongly dislike, 2: Somewhat dislike, 3: Neither like nor dislike, 4: Somewhat like, and 5: Strongly like.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.236, 0.74, 0.82, 0.755], [0.12, 0.757, 0.82, 0.773], [0.12, 0.774, 0.82, 0.79], [0.12, 0.794, 0.144, 0.807]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 317, "edu_l1_label": "IOS"}, {"txt": "For the second user perception questionnaire (Cronbach’s 𝛼= 0.84, mean score = 18.95 ± 8.27), inspired by the RAS[91] to understand the anxiety attributed to the robot by the children, total scores (referred to as \"robot anxiety\") were", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.144, 0.794, 0.82, 0.807], [0.12, 0.809, 0.82, 0.824]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 318, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.806, 0.089, 0.881, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 319, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.179, 0.09, 0.194, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 320, "edu_l1_label": "EDU_O"}, {"txt": "computed using the response ratings of 1:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.18, 0.12, 0.435, 0.136]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 321, "edu_l1_label": "IOS"}, {"txt": " I do not feel anxiety at all, 2: I hardly feel any anxiety, 3: I don’t feel muchanxiety, 4: I feel a little anxiety, 5: I feel much anxiety, and 6: I feel anxiety very strongly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.435, 0.12, 0.88, 0.136], [0.18, 0.14, 0.679, 0.153]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 322, "edu_l1_label": "IOS"}, {"txt": "Finally, total scores from the third user perception questionnaire (Cronbach’s 𝛼= 0.82, mean score = 47.59 ± 3.33), inspired by the Godspeed questionnaire[13] to understand the user’s likeability of the robot and the perceived intelligence of the robot, were computed usingthe questionnaire ratings of 1- negative characteristic like \"Unkind\" to 5- positive characteristic like \"Kind\".", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.679, 0.14, 0.88, 0.153], [0.18, 0.154, 0.88, 0.17], [0.18, 0.172, 0.88, 0.187], [0.18, 0.189, 0.803, 0.205]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 323, "edu_l1_label": "IOS"}, {"txt": "3.3Construct Validity Analyses", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.18, 0.22, 0.397, 0.235]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 324, "edu_l1_label": "IOS"}, {"txt": "In [2], we conducted validity analyses for our in-lab study described in [3, 4].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.18, 0.241, 0.649, 0.256]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 325, "edu_l1_label": "IOS"}, {"txt": "We have followed the same approach for the data collected from the online remote study described in this work.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.649, 0.241, 0.88, 0.256], [0.18, 0.258, 0.629, 0.274]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 326, "edu_l1_label": "IOS"}, {"txt": "We conducted construct validity analysis through confrmatory principal component analysis (PCA) to validate established psychological assessment tools such as the SMFQ and RCADS in longitudinal CRI research presented here.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.629, 0.258, 0.88, 0.274], [0.18, 0.275, 0.88, 0.291], [0.18, 0.293, 0.588, 0.308]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 327, "edu_l1_label": "IOS"}, {"txt": "This was done to ensure they accurately measure the intended constructs and to comprehend their limitations within CRI contexts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.588, 0.293, 0.88, 0.308], [0.18, 0.31, 0.651, 0.326]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 328, "edu_l1_label": "IOS"}, {"txt": "Similarly, we applied the same analysis to both self-reported and parent-reported RCADS to achieve a deeper understanding of model ft and to discern the diferences more clearly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.651, 0.31, 0.88, 0.326], [0.18, 0.327, 0.88, 0.343], [0.18, 0.344, 0.326, 0.36]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 329, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.301, 0.367, 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0.52, 0.757]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 392, "edu_l1_label": "IOS"}, {"txt": "These results underpin the rationale for comparing wellbeing changes between tertiles for each session and across all sessions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.52, 0.741, 0.88, 0.757], [0.18, 0.759, 0.568, 0.774]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 393, "edu_l1_label": "IOS"}, {"txt": "The identifcation of a primary factor confrms that the scales can efectively distinguish between diferent levels of wellbeing measured using RCADS, making the Kruskal Wallis tests appropriate for identifying statistically signifcant diferences between groups defned by tertiles of SMFQ scores.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": 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clustering.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.12, 0.192, 0.249, 0.205]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 400, "edu_l1_label": "IOS"}, {"txt": "We used the responses from the SMFQ to cluster the participants into three tertiles (low, med and high) similar to the framework followed in [3, 4].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.249, 0.192, 0.82, 0.205], [0.12, 0.207, 0.412, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 401, "edu_l1_label": "IOS"}, {"txt": "SMFQ thresholds were also taken into consideration in determining the children’s categorisation into the wellbeing clusters.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.412, 0.207, 0.82, 0.222], [0.12, 0.224, 0.457, 0.24]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 402, "edu_l1_label": "IOS"}, {"txt": "For example, if tertile categorisation resulted in a child withan SMFQ score of 9 being placed in med tertile, we included the child in the high tertile as the threshold for SMFQ is a total score of 8 4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.457, 0.224, 0.82, 0.24], [0.12, 0.241, 0.82, 0.257], [0.12, 0.259, 0.234, 0.274]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 403, "edu_l1_label": "IOS"}, {"txt": "Tertile edges were computed separately for girls and boys in order to ensure similar participant numbers across the three wellbeing clusters (low tertile, med tertile and high tertile).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.234, 0.259, 0.82, 0.274], [0.12, 0.276, 0.615, 0.292]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 404, "edu_l1_label": "IOS"}, {"txt": "Since the SMFQ is used to monitor symptoms of mood disorders in children, children belonging to the low tertile and med tertile were very unlikely to obtain a diagnosis of mood disorders while children in the high tertile were more likely to obtain a diagnosis of mood disorders.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.615, 0.276, 0.82, 0.292], [0.12, 0.293, 0.82, 0.309], [0.12, 0.31, 0.82, 0.326], [0.12, 0.328, 0.178, 0.343]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 405, "edu_l1_label": "IOS"}, {"txt": "Following the tertile categorisation, these well-being clusters were used as independent variables to analyse their relationship with outcomes assessed by the RCADS.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.136, 0.345, 0.82, 0.361], [0.12, 0.362, 0.423, 0.378]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 406, "edu_l1_label": "IOS"}, {"txt": "This approach, well-supported in mental health research, facilitates structured comparisons of how varying levels of mood, as indicated by SMFQ tertiles, infuence specifc outcomes such as anxiety and depression symptoms [57, 109].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.423, 0.362, 0.82, 0.378], [0.12, 0.38, 0.82, 0.395], [0.12, 0.397, 0.4, 0.413]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 407, "edu_l1_label": "IOS"}, {"txt": "Given the distinct yet related constructs measured by SMFQ (general mood) and RCADS (specifc anxiety and depression symptoms), this method allows us to assess how mood categories align with diferent levels of psychological symptoms.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.4, 0.397, 0.82, 0.413], [0.12, 0.414, 0.82, 0.43], [0.12, 0.432, 0.451, 0.447]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 408, "edu_l1_label": "IOS"}, {"txt": "While a correlation between SMFQ and RCADS is typically expected [e.g., 80], the CRI context, where the robot administered RCADS, required careful consideration, as we could not assume this correlation would hold in the same way as in traditional child mental health studies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.451, 0.432, 0.82, 0.447], [0.12, 0.449, 0.82, 0.464], [0.12, 0.466, 0.721, 0.482]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 409, "edu_l1_label": "IOS"}, {"txt": "3.4.2Statistical analyses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.12, 0.495, 0.273, 0.508]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 410, "edu_l1_label": "IOS"}, {"txt": "Statistical analyses were performed using either the statistical toolbox in Matlab 5 or using IBM SPSS 6.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.273, 0.495, 0.82, 0.508], [0.12, 0.51, 0.193, 0.525]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 411, "edu_l1_label": "IOS"}, {"txt": "Our primary analyses consisted of investigating wellbeing and user perception changes for the overall population (40 participants) across the varying levels of wellbeing (tertiles) as well as across the sessions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.193, 0.51, 0.82, 0.525], [0.12, 0.527, 0.768, 0.543]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 412, "edu_l1_label": "IOS"}, {"txt": "We also conducted a secondary exploratory analysis by further stratifying the data according to the gender of the participants.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.768, 0.527, 0.82, 0.543], [0.12, 0.544, 0.822, 0.56]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 413, "edu_l1_label": "IOS"}, {"txt": "For this purpose, we employed non-parametric statistical analyses as our study data (RCADS, SMFQ and user perception responses) did not follow a normal distribution (Shapiro-Wilk test).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.12, 0.562, 0.82, 0.577], [0.12, 0.579, 0.528, 0.595]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 414, "edu_l1_label": "IOS"}, {"txt": "We conducted Kruskal Wallis tests for betweensubject analyses while investigating wellbeing or user perception changes between the tertiles for each session as well as across the tertiles for all the sessions combined.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.528, 0.579, 0.822, 0.595], [0.12, 0.596, 0.82, 0.612], [0.12, 0.614, 0.424, 0.629]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 415, "edu_l1_label": "IOS"}, {"txt": "We employed Friedman’s test to conduct within-subject analyseswhile comparing changes in wellbeing and user perception responses longitudinally across the experiment sessions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.424, 0.614, 0.82, 0.629], [0.119, 0.631, 0.822, 0.646]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 416, "edu_l1_label": "IOS"}, {"txt": "Between-subject pairwise comparisons while investigating change in responses across girls and boys, between the children’s RCADS responses to the robot and the parent’s RCADS responses to the pre-study questionnaire, and acrossthe remote study data collected in this work and our in-lab study [1, 3, 4] were performed using Wilcoxon rank sum tests.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.12, 0.648, 0.82, 0.664], [0.12, 0.665, 0.82, 0.681], [0.12, 0.683, 0.82, 0.698], [0.12, 0.7, 0.15, 0.716]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 417, "edu_l1_label": "IOS"}, {"txt": "Within-subject pairwise comparison between the children’s responses to the children’s RCADS responses to therobot and their self-report responses to the pre-study questionnaire was performed using the Wilcoxon Signed Rank test.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.15, 0.7, 0.82, 0.716], [0.12, 0.717, 0.82, 0.733], [0.12, 0.735, 0.145, 0.75]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 418, "edu_l1_label": "IOS"}, {"txt": "To control for Type I errors due to multiple hypothesis testing, we applied the Holm-Bonferroni correction to pvalues from the confrmatory hypothesis tests.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.136, 0.752, 0.822, 0.768], [0.12, 0.769, 0.393, 0.785]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 419, "edu_l1_label": "IOS"}, {"txt": "This method sequentially adjusts signifcance levels for each hypothesis,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.393, 0.769, 0.822, 0.785]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 420, "edu_l1_label": "IOS"}, {"txt": "45https://www.seattlechildrens.org/globalassets/documents/healthcare-professionals/pal/ratings/smfq-rating-scale.pdf https://uk.mathworks.com/products/statistics.html 6https://www.ibm.com/spss", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.12, 0.792, 0.664, 0.805], [0.125, 0.804, 0.36, 0.816], [0.12, 0.813, 0.249, 0.827]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 6, "global_sentence_id": 421, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.806, 0.089, 0.881, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 422, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.18, 0.091, 0.194, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 423, "edu_l1_label": "EDU_O"}, {"txt": "prioritising smaller p-values to rigorously control Type I error while preserving sensitivity [7].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.18, 0.12, 0.759, 0.135]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 424, "edu_l1_label": "IOS"}, {"txt": "Both corrected and uncorrected p-values are reported in the results.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.759, 0.12, 0.88, 0.135], [0.18, 0.137, 0.47, 0.153]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 425, "edu_l1_label": "IOS"}, {"txt": "Post-hoc tests for between-subject (Kruskal-Wallis test) and withinsubject (Friedman’s test) analyses and the pairwise comparisons (across each investigated feature) were corrected usingBonferroni corrections (0.05/3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.47, 0.137, 0.882, 0.153], [0.18, 0.154, 0.88, 0.17], [0.18, 0.172, 0.369, 0.187]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 426, "edu_l1_label": "IOS"}, {"txt": "Incorrect responses were replaced by the closest response rating by the researchers (e.g., a \"no\" response to the SMFQ statements was replaced with \"not true\").", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.196, 0.189, 0.88, 0.205], [0.18, 0.206, 0.477, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 427, "edu_l1_label": "IOS"}, {"txt": "Missed responses to the statements of the questionnaires during the experiment session were imputed with the mode of the responses for the participant under consideration, for that questionnaire.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.477, 0.206, 0.88, 0.222], [0.18, 0.224, 0.88, 0.239], [0.18, 0.241, 0.294, 0.257]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 428, "edu_l1_label": "IOS"}, {"txt": "In the case of three participants, data (two participants for the self-report questionnaire and one participant for the user perception questionnaires for session 3) did not get recorded due to technical issues and was replaced with mean value across all participants7.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.294, 0.241, 0.88, 0.257], [0.18, 0.258, 0.88, 0.274], [0.18, 0.276, 0.47, 0.291]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 429, "edu_l1_label": "IOS"}, {"txt": "However, the inputted data was not used to compute reliability scores (Cronbach’s 𝛼) and to evaluate the construct validity of the measurements mentioned in Sec.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.47, 0.276, 0.88, 0.291], [0.18, 0.293, 0.738, 0.308]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 430, "edu_l1_label": "IOS"}, {"txt": "3.2.6 Measures and Sec.3.3 Construct Validity Analyses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.738, 0.293, 0.882, 0.308], [0.18, 0.31, 0.371, 0.326]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 431, "edu_l1_label": "IOS"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.235, 0.335, 0.822, 0.468]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 3, "global_sentence_id": 432, "edu_l1_label": "EDU_O"}, {"txt": "Table 3. Tertile edges and participant number (N) for the SMFQ scores for (a) remote study, and (b) In lab study [3, 4].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.213, 0.468, 0.845, 0.481]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 8, "global_sentence_id": 433, "edu_l1_label": "EDU_O"}, {"txt": "4RESULTS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.18, 0.524, 0.265, 0.538]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 434, "edu_l1_label": "BOS"}, {"txt": "4.1Tertile categorisation for identification of wellbeing clusters.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.18, 0.546, 0.618, 0.56]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 435, "edu_l1_label": "IOS"}, {"txt": "The SMFQ data collected during the frst session was used for tertile categorisation of the participants into three wellbeing clusters similar to [3, 55, 85].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.18, 0.566, 0.88, 0.582], [0.179, 0.583, 0.418, 0.599]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 436, "edu_l1_label": "IOS"}, {"txt": "Table 3 shows the tertile edges and number of participants for the diferent population groups (overall, girls and boys) for both the remote study conducted in this work and our in-lab study [3, 4], across the varying wellbeing clusters (low tertile, med tertile and high tertile).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.418, 0.583, 0.88, 0.599], [0.18, 0.601, 0.882, 0.616], [0.18, 0.618, 0.646, 0.634]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 437, "edu_l1_label": "IOS"}, {"txt": "4.2Efectiveness of online interactions with a social robot in wellbeing assessment (RQ1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.18, 0.649, 0.785, 0.664]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 438, "edu_l1_label": "IOS"}, {"txt": "Figure 3 (a) shows the longitudinal changes in the children’s wellbeing across diferent population groups (overallshown in green, girls shown in blue and boys shown in yellow) and across diferent tertiles (low, med and high) for the three sessions of the study (independent variables:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.18, 0.67, 0.88, 0.685], [0.18, 0.687, 0.88, 0.703], [0.18, 0.704, 0.487, 0.72]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 439, "edu_l1_label": "IOS"}, {"txt": " tertiles; dependent variables: RCADS responses).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.487, 0.704, 0.787, 0.72]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 440, "edu_l1_label": "IOS"}, {"txt": "For the overall population group, Kruskal Wallis H test has shown a statistically signifcant diference (𝐻(2) = 18.98, 𝑝=< .001;𝑝= 0.007, Holm-Bonferroni corrected) in the RCADS responses for session 1 between the tertiles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.787, 0.704, 0.88, 0.72], [0.18, 0.721, 0.881, 0.737], [0.18, 0.743, 0.768, 0.754]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 441, "edu_l1_label": "IOS"}, {"txt": "Post-hoc pairwisecomparisons using Dunn’s tests, with a Bonferroni correction applied, have indicated statistically signifcant diferencesbetween low tertile and high tertile (𝑀𝑑𝑛𝑙𝑜𝑤= 6, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 26, 𝑝= 0.00) and between med tertile and high tertile(𝑀𝑑𝑛𝑚𝑒𝑑= 11, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 26, 𝑝= 0.01).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.768, 0.743, 0.88, 0.754], [0.18, 0.756, 0.88, 0.772], [0.18, 0.773, 0.88, 0.789], [0.18, 0.791, 0.415, 0.806]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 442, "edu_l1_label": "IOS"}, {"txt": "7https://www.theanalysisfactor.com/seven-ways-to-make-up-data-common-methods-to-imputing-missing-data/", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.18, 0.813, 0.702, 0.827]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 9, "global_sentence_id": 443, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.806, 0.088, 0.822, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 444, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.121, 0.086, 0.701, 0.103]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 445, "edu_l1_label": "EDU_O"}, {"txt": "(a) Longitudinal changes in children’s wellbeingacross all population groups", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.221, 0.12, 0.5, 0.148]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 7, "global_sentence_id": 446, "edu_l1_label": "EDU_O"}, {"txt": "(b) Children’s wellbeingacross tertiles for all sessions combined", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.584, 0.121, 0.82, 0.147]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 6, "global_sentence_id": 447, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.114, 0.118, 0.823, 0.295]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 4, "global_sentence_id": 448, "edu_l1_label": "EDU_O"}, {"txt": "Fig. 3. (a) Longitudinal changes in wellbeing (RCADS scores: dependent variables) across diferent population groups (overall, girls and boys) categorised into wellbeing tertiles (low, med and high; independent variables) using the SMFQ responses. (b) Children’swellbeing (RCADS scores) across tertiles for all sessions combined. ∗𝑝< 0.05 corrected.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.116, 0.305, 0.824, 0.346]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 449, "edu_l1_label": "EDU_O"}, {"txt": "In the case of the RCADS responses for session 2, Kruskal Wallis H test has shown a statistically signifcant diference (𝐻(2) = 10.73, 𝑝= 0.005;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.136, 0.378, 0.82, 0.393], [0.12, 0.395, 0.267, 0.411]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 450, "edu_l1_label": "IOS"}, {"txt": " 𝑝= 0.010, Holm-Bonferroni corrected) between the tertiles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.267, 0.395, 0.628, 0.411]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 451, "edu_l1_label": "IOS"}, {"txt": "Post-hoc pairwise comparisonsusing Dunn’s tests, with a Bonferroni correction applied, have indicated statistically signifcant diferences betweenlow tertile and high tertile (𝑀𝑑𝑛𝑙𝑜𝑤= 7, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 18.5, 𝑝= 0.004).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.628, 0.395, 0.82, 0.411], [0.12, 0.412, 0.82, 0.428], [0.12, 0.429, 0.524, 0.445]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 452, "edu_l1_label": "IOS"}, {"txt": "While considering the RCADS responses for session 3, Kruskal Wallis H test has also shown a statistically signifcant diference (𝐻(2) = 12.02, 𝑝= 0.002;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.136, 0.447, 0.82, 0.462], [0.12, 0.464, 0.336, 0.48]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 453, "edu_l1_label": "IOS"}, {"txt": " 𝑝= 0.010, Holm-Bonferroni corrected) between the tertiles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.336, 0.464, 0.706, 0.48]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 454, "edu_l1_label": "IOS"}, {"txt": "Post-hoc pairwisecomparisons using Dunn’s tests, with a Bonferroni correction applied, have indicated statistically signifcant diferencesbetween low tertile and high tertile (𝑀𝑑𝑛𝑙𝑜𝑤= 6, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 18.5, 𝑝= 0.004).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.706, 0.464, 0.82, 0.48], [0.12, 0.481, 0.82, 0.497], [0.12, 0.499, 0.578, 0.514]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 455, "edu_l1_label": "IOS"}, {"txt": "We have also observed that while comparing across tertiles for all sessions combined for all the participants (Figure 3(b)), Kruskal Wallis H test has shown a statistically signifcant diference (𝐻(2) = 41.29, 𝑝=< .001;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.136, 0.516, 0.82, 0.532], [0.12, 0.533, 0.751, 0.549]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 456, "edu_l1_label": "IOS"}, {"txt": " 𝑝= 0.007,Holm-Bonferroni corrected) between the RCADS responses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.751, 0.533, 0.822, 0.549], [0.12, 0.551, 0.475, 0.566]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 457, "edu_l1_label": "IOS"}, {"txt": "Post-hoc pairwise comparisons using Dunn’s tests, with aBonferroni correction applied, have indicated statistically signifcant diferences between low tertile and high tertile (𝑀𝑑𝑛𝑙𝑜𝑤= 6, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 20.5, 𝑝= 0.00) and between med tertile and high tertile (𝑀𝑑𝑛𝑚𝑒𝑑= 11, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 20.5, 𝑝=0.00).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.475, 0.551, 0.82, 0.566], [0.12, 0.568, 0.82, 0.583], [0.12, 0.585, 0.82, 0.601], [0.12, 0.602, 0.151, 0.618]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 458, "edu_l1_label": "IOS"}, {"txt": "This combined analysis has enabled us to identify overall trends and perform clearer comparisons between groups, thereby reinforcing the reliability of our fndings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.151, 0.602, 0.822, 0.618], [0.12, 0.62, 0.411, 0.635]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 459, "edu_l1_label": "IOS"}, {"txt": "A similar pattern has emerged with the RCADS scores increasing for diferent levels of wellbeing (from low to high) across sessions (as seen in Fig.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.411, 0.62, 0.82, 0.635], [0.12, 0.637, 0.58, 0.653]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 460, "edu_l1_label": "IOS"}, {"txt": "3 (a)) or the overall population group as well as for all the sessions combined(Figure 3(b)).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.58, 0.637, 0.82, 0.653], [0.119, 0.654, 0.414, 0.67]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 461, "edu_l1_label": "IOS"}, {"txt": "Since self-report responses and parent-report responses for the RCADS were collected before the experiment sessions, we have compared the responses of the RCADS across the three modes of test administration (self-report, parent-report and robot-report for session 1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.136, 0.672, 0.822, 0.687], [0.119, 0.689, 0.82, 0.705], [0.12, 0.706, 0.303, 0.722]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 462, "edu_l1_label": "IOS"}, {"txt": "As seen from Figure 4, Wilcoxon signed-rank test with a Bonferroni correction applied, has indicated a statistically signifcant diference between the self-report responses and the responses during session 1 with the robot for the high tertile (𝑀𝑑𝑛𝑠𝑒𝑙𝑓= 9, 𝑀𝑑𝑛𝑟𝑜𝑏𝑜𝑡= 26, 𝑝= 0.04).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.303, 0.706, 0.822, 0.722], [0.12, 0.723, 0.82, 0.739], [0.12, 0.741, 0.576, 0.756]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 463, "edu_l1_label": "IOS"}, {"txt": "Further, Wilcoxon rank sum test with aBonferroni correction applied has indicated a statistically signifcant diference between the parent-report responses and the responses during session 1 with the robot for the high tertile (𝑀𝑑𝑛𝑝𝑎𝑟𝑒𝑛𝑡= 8.5, 𝑀𝑑𝑛𝑟𝑜𝑏𝑜𝑡= 26, 𝑝= 0.04).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.576, 0.741, 0.82, 0.756], [0.12, 0.758, 0.82, 0.774], [0.12, 0.775, 0.797, 0.791]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 464, "edu_l1_label": "IOS"}, {"txt": "Wehave not found any statistically signifcant diferences across the tertiles for the RCADS responses between session 1 for the remote study with the robot and the RCADS responses for our in-lab study [3, 4] for the overall population.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.797, 0.775, 0.82, 0.791], [0.12, 0.793, 0.82, 0.808], [0.12, 0.81, 0.807, 0.826]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 465, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.179, 0.089, 0.195, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 466, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.805, 0.088, 0.882, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 467, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.252, 0.143, 0.798, 0.352]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 469, "edu_l1_label": "EDU_O"}, {"txt": "Fig. 4. RCADS responses (dependent variables) across session 1 for the diferent modes of test administration from all population groups categorised into wellbeing tertiles (low, med and high; independent variables) using the SMFQ responses. ∗𝑝< 0.05 corrected.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.177, 0.363, 0.882, 0.392]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 470, "edu_l1_label": "EDU_O"}, {"txt": "In summary, our results show that across all three sessions, RCADS responses have been signifcantly higher in the high tertile than in the low tertile.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.196, 0.413, 0.88, 0.428], [0.18, 0.43, 0.406, 0.446]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 471, "edu_l1_label": "IOS"}, {"txt": "RCADS responses have also been signifcantly higher for the high tertile when comparing between modes of questionnaire administration (robot-report, self-report and parent-report).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.406, 0.43, 0.88, 0.446], [0.18, 0.447, 0.803, 0.463]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 472, "edu_l1_label": "IOS"}, {"txt": "4.3The efect of the longitudinal interactions and co-location on user’s perception of the robot (RQ2).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.18, 0.48, 0.865, 0.494]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 473, "edu_l1_label": "IOS"}, {"txt": "As seen in Figure 5, Friedman’s test indicated a statistically signifcant diference in the robot anxiety measurementscores (dependent variable) for the overall population group belonging to the low tertile, across the three sessions (independent variable) 𝜒2(2) = 6.87, 𝑝= 0.032.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.179, 0.5, 0.88, 0.516], [0.18, 0.517, 0.88, 0.533], [0.18, 0.535, 0.455, 0.55]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 474, "edu_l1_label": "IOS"}, {"txt": "Post hoc analysis with Wilcoxon signed-rank tests was conducted witha Bonferroni correction applied, resulting in statistical signifcance between the robot anxiety measurement responses for session 1 and session 3 (𝑀𝑑𝑛𝑠𝑒𝑠𝑠𝑖𝑜𝑛1 = 16, 𝑀𝑑𝑛𝑠𝑒𝑠𝑠𝑖𝑜𝑛2 = 14, 𝑝= 0.041).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.455, 0.535, 0.88, 0.55], [0.18, 0.552, 0.88, 0.568], [0.18, 0.569, 0.623, 0.585]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 475, "edu_l1_label": "IOS"}, {"txt": "We have observed (Figure 5 (c)) that out of40 participants (20 girls and 20 boys), most participants have either maintained or improved their perception of the robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.623, 0.569, 0.88, 0.585], [0.18, 0.586, 0.88, 0.602], [0.18, 0.604, 0.215, 0.619]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 476, "edu_l1_label": "IOS"}, {"txt": "We defned improvement as an average increase in the self-reported ratings of the robot’s likeability, perceivedintelligence, and role as a confdante, and an average decrease in the response ratings for the robot anxiety measurement i.e.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.215, 0.604, 0.88, 0.619], [0.18, 0.621, 0.88, 0.637], [0.18, 0.638, 0.197, 0.654]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 477, "edu_l1_label": "IOS"}, {"txt": "the anxiety that the children attributed to the robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.197, 0.638, 0.511, 0.654]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 478, "edu_l1_label": "IOS"}, {"txt": "We did not fnd any statistically signifcant diference in the responses to the perception questionnaires (robot as confdante, robot anxiety measurement and likeability and perceived intelligence of the robot) across the tertiles throughout any of the sessions (session 1, session 2, and session 3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.196, 0.656, 0.88, 0.671], [0.18, 0.673, 0.88, 0.689], [0.18, 0.69, 0.592, 0.706]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 479, "edu_l1_label": "IOS"}, {"txt": "However, we have observed (Figure 5 (d)) that the Kruskal Wallis H test has shown a statistically signifcant diference (𝐻(2) = 11.13, 𝑝= 0.004; 𝑝= 0.012, Holm-Bonferroni corrected) in the children’s perception of the robot as a confdante (dependent variable) across tertiles(independent variable) for all the sessions combined.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.592, 0.69, 0.88, 0.706], [0.18, 0.708, 0.882, 0.723], [0.18, 0.725, 0.88, 0.74], [0.18, 0.742, 0.51, 0.758]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 480, "edu_l1_label": "IOS"}, {"txt": "Post-hoc pairwise comparisons using Dunn’s tests, with aBonferroni correction applied, have indicated statistically signifcant diferences between low tertile and high tertile (𝑀𝑑𝑛𝑙𝑜𝑤= 33, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 37, 𝑝= 0.004).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.51, 0.742, 0.88, 0.758], [0.18, 0.759, 0.88, 0.775], [0.18, 0.777, 0.419, 0.792]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 481, "edu_l1_label": "IOS"}, {"txt": "Kruskal Wallis H test has also shown a statistically signifcant diference (𝐻(2) = 8.82, 𝑝= 0.012;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.196, 0.794, 0.81, 0.81]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 482, "edu_l1_label": "IOS"}, {"txt": " 𝑝= 0.024,Holm-Bonferroni corrected) in the robot anxiety measurement (dependent variable) across tertiles (independent", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.81, 0.794, 0.882, 0.81], [0.18, 0.811, 0.88, 0.827]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 483, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11500000, "bbox": [[0.805, 0.088, 0.822, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 484, "edu_l1_label": "EDU_O"}, {"txt": "A Longitudinal Study of Child Wellbeing Assessment via Online Interactions with a Social Robot", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.119, 0.087, 0.701, 0.102]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 5, "global_sentence_id": 485, "edu_l1_label": "EDU_O"}, {"txt": "(b) Children’s perception of robot as aconfidante (Session 1) - Girls vs Boys", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.507, 0.119, 0.698, 0.141]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 3, "global_sentence_id": 486, "edu_l1_label": "EDU_O"}, {"txt": "Tertiles", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.344, 0.543, 0.393, 0.556]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 7, "global_sentence_id": 487, "edu_l1_label": "EDU_O"}, {"txt": "Tertiles", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.579, 0.545, 0.625, 0.559]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 6, "global_sentence_id": 488, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.237, 0.118, 0.71, 0.56]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 4, "global_sentence_id": 489, "edu_l1_label": "EDU_O"}, {"txt": "Fig. 5. (a) Longitudinal changes in children’s anxiety measurement atributed to the robot across all population groups (overall, girlsand boys) categorised into wellbeing tertiles (low, med and high) using the SMFQ responses. (b) Gender-based variability in the role of the robot as a confidante in the remote study. (c) Total percentage of the population that had consistent or improved user perception. User perception changes across tertiles for all sessions combined for (d) perception of the robot as a confidante and (e) robot anxiety measurement. ∗𝑝< 0.05 corrected.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.117, 0.572, 0.823, 0.638]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 0, "global_sentence_id": 490, "edu_l1_label": "EDU_O"}, {"txt": "variable) for all the sessions combined (Figure 5 (e)).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11900000, "bbox": [[0.12, 0.656, 0.45, 0.672]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 491, "edu_l1_label": "IOS"}, {"txt": "Post-hoc pairwise comparisons using Dunn’s tests, with aBonferroni correction applied, have indicated statistically signifcant diferences between low tertile and high tertile (𝑀𝑑𝑛𝑙𝑜𝑤= 15, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 21, 𝑝= 0.012).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11900000, "bbox": [[0.45, 0.656, 0.82, 0.672], [0.12, 0.673, 0.82, 0.689], [0.12, 0.691, 0.362, 0.706]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 492, "edu_l1_label": "IOS"}, {"txt": "We did not fnd any statistical signifcance between tertiles for all sessionscombined in the case of children’s likeability of the robot and their perceived intelligence of the robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11900000, "bbox": [[0.362, 0.691, 0.82, 0.706], [0.12, 0.708, 0.731, 0.724]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 493, "edu_l1_label": "IOS"}, {"txt": "As seen from Figure 6 (a), Wilcoxon rank sum test with a Bonferroni correction applied has indicated a statistically signifcant diference for the robot anxiety measurement in session 1 of the remote study and our in-lab study [1] for the med tertile of the overall population group (𝑀𝑑𝑛𝑟𝑒𝑚𝑜𝑡𝑒= 18, 𝑀𝑑𝑛𝑖𝑛−𝑙𝑎𝑏= 24, 𝑝= 0.038).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.136, 0.725, 0.82, 0.741], [0.12, 0.742, 0.82, 0.758], [0.12, 0.76, 0.705, 0.775]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 494, "edu_l1_label": "IOS"}, {"txt": "Further, Wilcoxonrank sum test (Figure 6 (b)) with a Bonferroni correction applied has also indicated a statistically signifcant diference for the perceived intelligence of the robot in session 1 of the remote study and our in-lab study [1] for the medium tertile of the overall population group (𝑀𝑑𝑛𝑟𝑒𝑚𝑜𝑡𝑒= 24, 𝑀𝑑𝑛𝑖𝑛−𝑙𝑎𝑏= 21, 𝑝= 0.045).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.705, 0.76, 0.82, 0.775], [0.12, 0.777, 0.82, 0.793], [0.12, 0.794, 0.82, 0.81], [0.12, 0.812, 0.628, 0.827]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 495, "edu_l1_label": "IOS"}, {"txt": "Wilcoxon rank sum test with a", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.628, 0.812, 0.82, 0.827]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 496, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12100000, "bbox": [[0.805, 0.088, 0.882, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 497, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12100000, "bbox": [[0.178, 0.089, 0.195, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 498, "edu_l1_label": "EDU_O"}, {"txt": "Bonferroni correction applied has also indicated a statistically signifcant diference between the perceived intelligence of the robot in session 1 of the remote study and our in-lab study [1] for the high tertile of the overall population group (𝑀𝑑𝑛𝑟𝑒𝑚𝑜𝑡𝑒= 24, 𝑀𝑑𝑛𝑖𝑛−𝑙𝑎𝑏= 20.5, 𝑝= 0.045).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12100000, "bbox": [[0.18, 0.12, 0.88, 0.135], [0.18, 0.137, 0.88, 0.153], [0.18, 0.154, 0.461, 0.17]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 499, "edu_l1_label": "IOS"}, {"txt": "To sum up, our key fndings indicate that longitudinally, robot anxiety measurement has been seen to decrease for the overall population.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12200000, "bbox": [[0.196, 0.172, 0.88, 0.187], [0.18, 0.189, 0.341, 0.205]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 500, "edu_l1_label": "IOS"}, {"txt": "Further, the physical presence (remote vs. in-lab) of the robot does afect users’ anxietyattributed to the robot (robot anxiety increases for the low and med tertile but decreases for the high tertile) and the perceived intelligence of the robot (decreases across all tertiles).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12200000, "bbox": [[0.341, 0.189, 0.88, 0.205], [0.18, 0.206, 0.88, 0.222], [0.18, 0.224, 0.561, 0.239]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 501, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.26, 0.25, 0.807, 0.671]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 3, "global_sentence_id": 503, "edu_l1_label": "EDU_O"}, {"txt": "Fig. 6. User perception changes across the remote study and our in-lab study [1] categorised into wellbeing tertiles (low, med and high) using the SMFQ responses. ∗𝑝< 0.05 corrected.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12400000, "bbox": [[0.176, 0.681, 0.884, 0.709]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 504, "edu_l1_label": "EDU_O"}, {"txt": "4.4 Gender-based diferences in the efectiveness of longitudinal wellbeing assessment and user perception (RQ3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12500000, "bbox": [[0.18, 0.739, 0.199, 0.754], [0.213, 0.739, 0.826, 0.754], [0.213, 0.757, 0.332, 0.771]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 505, "edu_l1_label": "IOS"}, {"txt": "From our exploratory supplementary analyses, we have observed that in the case of girls (Figure 3 (a)), Kruskal Wallis H test has shown a statistically signifcant diference (𝐻(2) = 10.64, 𝑝= 0.005;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12600000, "bbox": [[0.18, 0.777, 0.88, 0.793], [0.18, 0.794, 0.636, 0.81]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 506, "edu_l1_label": "IOS"}, {"txt": " 𝑝= 0.020, Holm-Bonferroni corrected) inthe RCADS responses (dependent variable) for session 1 between the tertiles (independent variable).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12600000, "bbox": [[0.636, 0.794, 0.88, 0.81], [0.18, 0.812, 0.771, 0.827]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 507, "edu_l1_label": "IOS"}, {"txt": "Post-hoc pairwise", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12600000, "bbox": [[0.771, 0.812, 0.88, 0.827]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 508, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12700000, "bbox": [[0.119, 0.087, 0.701, 0.102]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 509, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12700000, "bbox": [[0.805, 0.089, 0.82, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 510, "edu_l1_label": "EDU_O"}, {"txt": "comparisons using Dunn’s tests, with a Bonferroni correction applied, have indicated statistically signifcant diferencesbetween low tertile and high tertile (𝑀𝑑𝑛𝑙𝑜𝑤= 6, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 28, 𝑝= 0.006) and between med tertile and high tertile(𝑀𝑑𝑛𝑚𝑒𝑑= 6, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 28, 𝑝= 0.042).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12700000, "bbox": [[0.12, 0.12, 0.82, 0.135], [0.12, 0.137, 0.82, 0.153], [0.12, 0.154, 0.355, 0.17]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 511, "edu_l1_label": "IOS"}, {"txt": "Further, Friedman’s test indicated a statistically signifcant diference (Figure 3(a)) in the RCADS scores (dependentvariable) for girls belonging to the high tertile, across the three sessions (independent variable) (𝜒2(2) = 11.14, 𝑝= 0.004;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.136, 0.172, 0.82, 0.187], [0.12, 0.189, 0.821, 0.205]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 512, "edu_l1_label": "IOS"}, {"txt": "𝑝= 0.020, Holm-Bonferroni corrected).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.12, 0.21, 0.363, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 513, "edu_l1_label": "IOS"}, {"txt": "Post hoc analysis with Wilcoxon signed-rank tests was conducted with aBonferroni correction applied, resulting in statistical signifcance between the RCADS responses for session 1 and session 2 (𝑀𝑑𝑛𝑠𝑒𝑠𝑠𝑖𝑜𝑛1 = 28, 𝑀𝑑𝑛𝑠𝑒𝑠𝑠𝑖𝑜𝑛2 = 11.5, 𝑝= 0.007).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.363, 0.21, 0.82, 0.222], [0.12, 0.224, 0.82, 0.239], [0.12, 0.241, 0.472, 0.257]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 514, "edu_l1_label": "IOS"}, {"txt": "In the case of boys, as seen in Figure 3 (a), Kruskal Wallis H test has shown a statistically signifcant diference (𝐻(2) = 7.91, 𝑝= 0.019, Holm-Bonferroni corrected) in the RCADS responses (dependent variable) for session 1 betweenthe tertiles (independent variable).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12900000, "bbox": [[0.136, 0.258, 0.82, 0.274], [0.12, 0.276, 0.82, 0.291], [0.12, 0.293, 0.329, 0.308]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 515, "edu_l1_label": "IOS"}, {"txt": "Post-hoc pairwise comparisons using Dunn’s tests, with a Bonferroni correctionapplied, have indicated statistically signifcant diferences between low tertile and high tertile (𝑀𝑑𝑛𝑙𝑜𝑤= 9, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ=23, 𝑝= 0.016).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12900000, "bbox": [[0.329, 0.293, 0.82, 0.308], [0.12, 0.31, 0.82, 0.326], [0.12, 0.327, 0.202, 0.343]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 516, "edu_l1_label": "IOS"}, {"txt": "Kruskal Wallis H test has also shown a statistically signifcant diference (𝐻(2) = 9.22, 𝑝= 0.010;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.136, 0.345, 0.717, 0.36]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 517, "edu_l1_label": "IOS"}, {"txt": " 𝑝= 0.024, Holm-Bonferroni corrected) in the RCADS responses (dependent variable) for session 2 between the tertiles (independent variable).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.717, 0.345, 0.822, 0.36], [0.12, 0.362, 0.82, 0.378], [0.12, 0.379, 0.176, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 518, "edu_l1_label": "IOS"}, {"txt": "Post-hoc pairwise comparisons using Dunn’s tests, with a Bonferroni correction applied, have indicatedstatistically signifcant diferences between low tertile and high tertile (𝑀𝑑𝑛𝑙𝑜𝑤= 8.5, 𝑀𝑑𝑛ℎ𝑖𝑔ℎ= 20.5, 𝑝= 0.009).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.176, 0.379, 0.82, 0.395], [0.12, 0.397, 0.795, 0.412]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 519, "edu_l1_label": "IOS"}, {"txt": "We did not fnd any statistically signifcant diference longitudinally (between session 1, session 2, and session 3) between the RCADS responses for boys across all tertiles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13100000, "bbox": [[0.136, 0.414, 0.82, 0.43], [0.12, 0.431, 0.486, 0.447]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 520, "edu_l1_label": "IOS"}, {"txt": "We have also not observed any statistically signifcant diferences (Figure 4) between the modes of RCADS administration (robot report, self-report, and parent-report) across all the tertiles for girls.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13100000, "bbox": [[0.486, 0.431, 0.82, 0.447], [0.12, 0.448, 0.82, 0.464], [0.12, 0.466, 0.255, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 521, "edu_l1_label": "IOS"}, {"txt": "In the case of boys (Figure 4) Wilcoxon rank sum test with a Bonferroni correction applied has indicated a statistically signifcant diference between the parent-report responses and the responses during session 1 with the robot for the high tertile (𝑀𝑑𝑛𝑝𝑎𝑟𝑒𝑛𝑡= 7, 𝑀𝑑𝑛𝑟𝑜𝑏𝑜𝑡= 23, 𝑝= 0.013).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13100000, "bbox": [[0.255, 0.466, 0.82, 0.481], [0.12, 0.483, 0.82, 0.499], [0.119, 0.5, 0.572, 0.516]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 522, "edu_l1_label": "IOS"}, {"txt": "Further, even in the case of girls and boys,we have not found any statistically signifcant diferences across the tertiles for the RCADS responses between session 1 for the remote study with the robot and the RCADS responses for our in-lab study presented in [3, 4].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13100000, "bbox": [[0.572, 0.5, 0.822, 0.516], [0.119, 0.518, 0.82, 0.533], [0.12, 0.535, 0.738, 0.551]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 523, "edu_l1_label": "IOS"}, {"txt": "We also did not fnd any statistical signifcance while comparing user perception responses to the questionnaires for girls or boys, across the tertiles, throughout any of the sessions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13200000, "bbox": [[0.136, 0.552, 0.82, 0.568], [0.12, 0.57, 0.541, 0.585]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 524, "edu_l1_label": "IOS"}, {"txt": "However, Wilcoxon rank sum test (Figure 5) has indicated a statistically signifcant diference between the children’s perception of the robot as a confdantefor the high tertile between girls and boys (𝑀𝑑𝑛𝑔𝑖𝑟𝑙𝑠= 37, 𝑀𝑑𝑛𝑏𝑜𝑦𝑠= 33.5,𝑊= 67, 𝑝= 0.012; 𝑝= 0.030, Holm-Bonferroni corrected).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13200000, "bbox": [[0.541, 0.57, 0.821, 0.585], [0.12, 0.587, 0.82, 0.602], [0.12, 0.604, 0.822, 0.62], [0.12, 0.621, 0.256, 0.637]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 525, "edu_l1_label": "IOS"}, {"txt": "While considering user perception changes for girls (Figure 6(c)), Wilcoxon rank sum test with a Bonferroni correction applied has indicated a statistically signifcant diference for the perception of the robot as a confdante in session 1 of the remote study and our in-lab study [1] for the medium tertile of the overall population group (𝑀𝑑𝑛𝑟𝑒𝑚𝑜𝑡𝑒= 37, 𝑀𝑑𝑛𝑖𝑛−𝑙𝑎𝑏= 31, 𝑝= 0.038).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13200000, "bbox": [[0.256, 0.621, 0.82, 0.637], [0.119, 0.639, 0.82, 0.654], [0.12, 0.656, 0.82, 0.672], [0.12, 0.673, 0.506, 0.689]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 526, "edu_l1_label": "IOS"}, {"txt": "Further, in the case of boys (Figure 6(d)), Wilcoxonrank sum test with a Bonferroni correction applied has indicated a statistically signifcant diference for robot anxiety measurement in session 1 of the remote study and our in-lab study [1] for the med tertile of the overall population group (𝑀𝑑𝑛𝑟𝑒𝑚𝑜𝑡𝑒= 20, 𝑀𝑑𝑛𝑖𝑛−𝑙𝑎𝑏= 24, 𝑝= 0.048).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13200000, "bbox": [[0.506, 0.673, 0.82, 0.689], [0.12, 0.691, 0.82, 0.706], [0.12, 0.708, 0.82, 0.724], [0.12, 0.725, 0.43, 0.741]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 527, "edu_l1_label": "IOS"}, {"txt": "In summary, across genders, we have observed that the RCADS responses were signifcantly higher for the high tertile for both boys and girls in session 1 and only for boys in session 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.136, 0.743, 0.82, 0.758], [0.12, 0.76, 0.542, 0.775]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 528, "edu_l1_label": "IOS"}, {"txt": "We also observed that RCADS responses to the robot were signifcantly more negative for boys as compared to their parent’s perception of their wellbeing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.542, 0.76, 0.82, 0.775], [0.12, 0.777, 0.774, 0.793]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 529, "edu_l1_label": "IOS"}, {"txt": "Finally,girls have a higher perception of the robot as their confdante as compared with boys and the physical presence of the robot does afect this perception.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.774, 0.777, 0.822, 0.793], [0.12, 0.794, 0.82, 0.81], [0.12, 0.812, 0.316, 0.827]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 530, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.806, 0.089, 0.881, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 531, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.179, 0.09, 0.194, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 532, "edu_l1_label": "EDU_O"}, {"txt": "5DISCUSSION", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13500000, "bbox": [[0.18, 0.121, 0.29, 0.136]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 5, "global_sentence_id": 533, "edu_l1_label": "BOS"}, {"txt": "The study explored the use of online robotised platform for the assessment of mental wellbeing of children where 40 children (20 girls and 20 boys, 8-13 years old) interacted with the Nao robot over Zoom or Skype for three sessions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.18, 0.141, 0.88, 0.157], [0.18, 0.159, 0.854, 0.174]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 534, "edu_l1_label": "IOS"}, {"txt": "Our fndings indicate that online interactions with the robot can be used to efectively assess children’s wellbeing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.854, 0.159, 0.88, 0.174], [0.18, 0.176, 0.831, 0.192]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 535, "edu_l1_label": "IOS"}, {"txt": "Furtherchildren’s perception of the robot either improved or stayed consistent and gender diferences were also observed withgirls viewing the robot more positively as a confdante.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.831, 0.176, 0.879, 0.192], [0.18, 0.193, 0.88, 0.209], [0.18, 0.211, 0.509, 0.226]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 536, "edu_l1_label": "IOS"}, {"txt": "As seen from the construct validity analyses mentioned in Section 3.3, we employed a confrmatory PCA to explore the underlying structure of the SMFQ and the RCADS.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.196, 0.228, 0.88, 0.244], [0.18, 0.245, 0.515, 0.261]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 537, "edu_l1_label": "IOS"}, {"txt": "We found that both scales predominantly revolve around a single principal component, suggesting a consistent underlying factor in each questionnaire explaining high variance of childrens’ well being.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.515, 0.245, 0.88, 0.261], [0.18, 0.263, 0.88, 0.278], [0.18, 0.28, 0.326, 0.295]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 538, "edu_l1_label": "IOS"}, {"txt": "It is important to note that not all items in these questionnaires contributed equally to thisprimary factor.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.326, 0.28, 0.88, 0.295], [0.18, 0.297, 0.272, 0.313]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 539, "edu_l1_label": "IOS"}, {"txt": "Specifcally, some items in both the SMFQ and RCADS did not signifcantly load onto the principal component, indicating that they might not align as closely with the core factor that these scales measure within CRI.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.272, 0.297, 0.88, 0.313], [0.18, 0.314, 0.868, 0.33]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 540, "edu_l1_label": "IOS"}, {"txt": "It should be acknowledged that RCADS (as used in this study) is aimed at assessing the concepts of generalised anxiety, panic disorder, and low mood [see 26], thereby potentially afecting factor loadings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.868, 0.314, 0.88, 0.33], [0.18, 0.332, 0.882, 0.347], [0.18, 0.349, 0.679, 0.365]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 541, "edu_l1_label": "IOS"}, {"txt": "Nevertheless, these results afrm the statistical efectiveness of these instruments in capturing the nuances of children’s mental health in these interactive settings during longitudinal CRI, showcasing the potential for integratingsocial robots in psychological assessments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.196, 0.366, 0.88, 0.382], [0.18, 0.384, 0.88, 0.399], [0.18, 0.401, 0.44, 0.417]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 542, "edu_l1_label": "IOS"}, {"txt": "Similar to our previous results in single-session CRI [2], the comparison between robot-administered and self-reported RCADS reveals signifcant distinctions that emphasize the potential benefts of integrating robotic assistance into mental health assessments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.44, 0.401, 0.88, 0.417], [0.18, 0.418, 0.88, 0.434], [0.18, 0.436, 0.603, 0.451]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 543, "edu_l1_label": "IOS"}, {"txt": "This outcome represents a statistical validation rather than a behavioural indication.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.603, 0.436, 0.88, 0.451], [0.18, 0.453, 0.397, 0.468]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 544, "edu_l1_label": "IOS"}, {"txt": "The analysis indicated that the robot-administered RCADS demonstrated a better ft in terms of construct validity, suggesting that interacting with a robot may facilitate disclosure of symptoms from children to assess their mental health in a statistically valid and reliable way.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.397, 0.453, 0.88, 0.468], [0.18, 0.47, 0.88, 0.486], [0.18, 0.487, 0.653, 0.503]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 545, "edu_l1_label": "IOS"}, {"txt": "Moreover, in line with the literature, parents’ reports of RCADS also showed worse ft compared to the robot-administered version of RCADS, highlightingpotential bias in parents’ reporting of their children’s mental health symptoms [126] compared to their children’sreporting of it to robots.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.653, 0.487, 0.882, 0.503], [0.18, 0.505, 0.88, 0.52], [0.18, 0.522, 0.88, 0.538], [0.18, 0.539, 0.325, 0.555]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 546, "edu_l1_label": "IOS"}, {"txt": "As such, we can infer that robot-administered questionnaires can be considered reliable (See Section 3.2.6) and valid (See Section 3.3) and as such can be utilised as credible ground truth for the evaluation of mental wellbeing of children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.325, 0.539, 0.88, 0.555], [0.18, 0.557, 0.88, 0.572], [0.179, 0.574, 0.309, 0.59]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 547, "edu_l1_label": "IOS"}, {"txt": "Our results (Figure 3) also show that interacting with the robot online via Zoom or Skype has amplifed the diference between the wellbeing clusters, especially the low tertile and high tertile.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.196, 0.591, 0.88, 0.607], [0.18, 0.608, 0.627, 0.624]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 548, "edu_l1_label": "IOS"}, {"txt": "The efect is sustained over the course of three sessions as well as for all the sessions combined.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.627, 0.608, 0.88, 0.624], [0.18, 0.626, 0.516, 0.641]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 549, "edu_l1_label": "IOS"}, {"txt": "We also observed a decrease in the RCADS ratings for the overall population over the course of three sessions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.516, 0.626, 0.88, 0.641], [0.18, 0.643, 0.484, 0.659]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 550, "edu_l1_label": "IOS"}, {"txt": "This could be a result of the regression to mean phenomenon which is common in longitudinal studies [83] and indicates that extreme observations have a tendency to move closer to the average value upon subsequent measurements [12].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.484, 0.643, 0.88, 0.659], [0.18, 0.66, 0.88, 0.677], [0.18, 0.68, 0.479, 0.693]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 551, "edu_l1_label": "IOS"}, {"txt": "The decrease in the RCADS ratings might also be attributed to the improvement in wellbeing stemming from the familiarity with a robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.479, 0.68, 0.88, 0.693], [0.18, 0.695, 0.61, 0.711]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 552, "edu_l1_label": "IOS"}, {"txt": "Crossman et al [31] have demonstrated that interaction with a robot has increased the positive mood in children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.61, 0.695, 0.88, 0.711], [0.18, 0.712, 0.593, 0.728]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 553, "edu_l1_label": "IOS"}, {"txt": "Robots have also been used to alleviate anxiety during medical procedures [101].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.593, 0.712, 0.88, 0.728], [0.18, 0.73, 0.381, 0.745]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 554, "edu_l1_label": "IOS"}, {"txt": "Even in longitudinal HRI studies focussing on adult participants, interaction with robots has led to a decrease in stress levels [73, 103] and enhancement of participants’ mood [71].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.381, 0.73, 0.88, 0.745], [0.18, 0.747, 0.762, 0.762]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 555, "edu_l1_label": "IOS"}, {"txt": "As seen from our fndings (Figure 4), the robot-assisted mode of RCADS administration seems to be very efective in categorising the population across wellbeing clusters (especially low tertile and high tertile) as compared to traditional modes of self-reporting and parent-reporting of the children’s wellbeing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.196, 0.764, 0.88, 0.78], [0.18, 0.781, 0.88, 0.797], [0.18, 0.799, 0.618, 0.814]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 556, "edu_l1_label": "IOS"}, {"txt": "This could potentially be due to what prior", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.618, 0.799, 0.88, 0.814]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 557, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14100000, "bbox": [[0.119, 0.087, 0.7, 0.102]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 558, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14100000, "bbox": [[0.805, 0.09, 0.82, 0.098]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 559, "edu_l1_label": "EDU_O"}, {"txt": "studies have been reporting - i.e., that children consider robots as peers [63] and social companions [89] which could contribute to them being more candid about their emotions in front of a robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14100000, "bbox": [[0.12, 0.12, 0.82, 0.135], [0.12, 0.137, 0.584, 0.153]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 560, "edu_l1_label": "IOS"}, {"txt": "Our fnding is in line with our previous work [3, 4] that also measured how wellbeing assessment of children difered across diferent modes of questionnaire administration, where the robot mode consisted of the children being physically co-located with the robot (i.e., a co-present robot).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14100000, "bbox": [[0.584, 0.137, 0.82, 0.153], [0.119, 0.154, 0.82, 0.17], [0.12, 0.172, 0.82, 0.187], [0.12, 0.189, 0.226, 0.205]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 561, "edu_l1_label": "IOS"}, {"txt": "With regard to whether co-location afects wellbeing assessment, our fndings suggest that there were no statistical diferences found across the tertiles while comparing our remote study with our in-lab study presented in [3, 4].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14200000, "bbox": [[0.136, 0.206, 0.82, 0.222], [0.12, 0.224, 0.79, 0.239]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 562, "edu_l1_label": "IOS"}, {"txt": "This is in line with previous research which suggests that co-location does not necessarily improve the objective of the CRI experience.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14200000, "bbox": [[0.79, 0.224, 0.82, 0.239], [0.12, 0.241, 0.82, 0.257], [0.12, 0.258, 0.216, 0.274]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 563, "edu_l1_label": "IOS"}, {"txt": "Robinette et al [100] have demonstrated that there was minimal diference observed between the instruction-giving capabilities of a co-present robot, a remote robot and a virtual avatar robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14200000, "bbox": [[0.216, 0.258, 0.82, 0.274], [0.12, 0.276, 0.692, 0.291]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 564, "edu_l1_label": "IOS"}, {"txt": "This is supported by Kennedy et al [59] who have shown that learning was not improved among children while interacting with the robot in person.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14200000, "bbox": [[0.692, 0.276, 0.82, 0.291], [0.12, 0.293, 0.82, 0.308], [0.12, 0.31, 0.164, 0.326]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 565, "edu_l1_label": "IOS"}, {"txt": "Our study fndings indicate that forthcoming robot-assisted initiatives for the assessment of wellbeing can be efectively conducted online, thus providing a logistical advantage to children to open up about their feelings from a comfortable environment (RQ1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14200000, "bbox": [[0.164, 0.31, 0.82, 0.326], [0.12, 0.327, 0.82, 0.343], [0.12, 0.345, 0.317, 0.36]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 566, "edu_l1_label": "IOS"}, {"txt": "With regard to the longitudinal changes in children’s perception of the robot (RQ2), we have observed (Figure 5) thatmost participants have maintained or improved their perception of the robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.136, 0.362, 0.82, 0.378], [0.12, 0.379, 0.572, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 567, "edu_l1_label": "IOS"}, {"txt": "This is in line with the previous literature [28] where prolonged exposure to robots has improved the opinions of Kindergarten children about the robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.572, 0.379, 0.82, 0.395], [0.12, 0.397, 0.759, 0.412]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 568, "edu_l1_label": "IOS"}, {"txt": "Moreover, as seen from Figure 6, some children (low and med tertile) were more anxious in front of a physical robot while some children (high tertile) were more anxious in front of the remote robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.759, 0.397, 0.822, 0.412], [0.12, 0.414, 0.82, 0.43], [0.12, 0.431, 0.548, 0.447]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 569, "edu_l1_label": "IOS"}, {"txt": "This individual variability in attitudes could be due to their past experiences with robots and/or technology in general.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.548, 0.431, 0.82, 0.447], [0.12, 0.448, 0.567, 0.464]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 570, "edu_l1_label": "IOS"}, {"txt": "Prior research has indicated that people’sattitudes towards robots were governed by their prior knowledge about robots or even technology [105], with negative representation causing negative outlooks about robots [53].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.567, 0.448, 0.82, 0.464], [0.12, 0.466, 0.82, 0.481], [0.12, 0.483, 0.48, 0.499]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 571, "edu_l1_label": "IOS"}, {"txt": "We can also observe that children’s overall longitudinalperception (i.e.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.48, 0.483, 0.82, 0.499], [0.12, 0.5, 0.208, 0.516]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 572, "edu_l1_label": "IOS"}, {"txt": "combined for all sessions) of the robot as a confdante as well as their anxiety towards the robot for all sessions combined does difer across varying levels of wellbeing (Figure 5).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.208, 0.5, 0.82, 0.516], [0.12, 0.518, 0.567, 0.533]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 573, "edu_l1_label": "IOS"}, {"txt": "However, from our previous work [1], we have observed that the wellbeing of the children is independent of their anxiety towards the robot.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.567, 0.518, 0.82, 0.533], [0.12, 0.535, 0.7, 0.551]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 574, "edu_l1_label": "IOS"}, {"txt": "This diference may arise from children’s varying perceptions of the robot that is physically present as compared to one that is remote, asobserved from our fndings (Figures 6).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.7, 0.535, 0.82, 0.551], [0.12, 0.552, 0.82, 0.568], [0.12, 0.57, 0.346, 0.585]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 575, "edu_l1_label": "IOS"}, {"txt": "Additionally, prolonged exposure to robots might also alter children’s perceptiontowards robots, potentially establishing a connection between their wellbeing and their attitude towards robots.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.346, 0.57, 0.82, 0.585], [0.12, 0.587, 0.787, 0.602]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 576, "edu_l1_label": "IOS"}, {"txt": "Prior research [97, 99, 117] has indicated possible links between emotional and behavioural concerns and prolonged use of digital technology such as electronic gaming and the internet.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.787, 0.587, 0.82, 0.602], [0.12, 0.604, 0.82, 0.62], [0.12, 0.621, 0.515, 0.637]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 577, "edu_l1_label": "IOS"}, {"txt": "Therefore, future online robot-assisted initiatives should consider participants’ outlooks, sentiments and existing/past emotional and behavioural concerns so that thetechnology can be utilised most efectively in the assessment of mental wellbeing of children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.515, 0.621, 0.82, 0.637], [0.12, 0.639, 0.82, 0.654], [0.12, 0.656, 0.678, 0.672]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 578, "edu_l1_label": "IOS"}, {"txt": "From our exploratory supplementary analyses regarding the efect of gender (RQ3) on the longitudinal robot-assisted evaluation of mental wellbeing of children, we have observed that the interaction with the online robot was able to efectively diferentiate between the high tertiles and low tertiles across boys and girls for session 1 and only for boys for session 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.136, 0.673, 0.82, 0.689], [0.12, 0.691, 0.82, 0.706], [0.12, 0.708, 0.82, 0.724], [0.12, 0.725, 0.2, 0.741]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 579, "edu_l1_label": "IOS"}, {"txt": "Strait et al [119] have observed that females respond favourably to changes in robot behaviour while males tend to prefer consistency.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.2, 0.725, 0.82, 0.741], [0.12, 0.743, 0.316, 0.758]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 580, "edu_l1_label": "IOS"}, {"txt": "In our study, the experimental tasks used to evaluate wellbeing remained consistent across sessions, potentially leading to the statistically signifcant diferences in wellbeing clusters for boys and not girls in session 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.316, 0.743, 0.82, 0.758], [0.12, 0.76, 0.82, 0.775], [0.12, 0.777, 0.191, 0.793]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 581, "edu_l1_label": "IOS"}, {"txt": "Further, the efectiveness of the online robot mode of test administration (compared with co-present robot, self-report and parent-report responses) appears to be consistent across genders.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.191, 0.777, 0.822, 0.793], [0.12, 0.794, 0.602, 0.81]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 582, "edu_l1_label": "IOS"}, {"txt": "Therefore, our study shows that the benefts of using online robot-assisted methods for assessing mental wellbeing hold true regardless of the participant’s", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.602, 0.794, 0.82, 0.81], [0.12, 0.812, 0.82, 0.827]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 583, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.806, 0.088, 0.881, 0.1]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 584, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.179, 0.09, 0.195, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 585, "edu_l1_label": "EDU_O"}, {"txt": "gender.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.18, 0.12, 0.224, 0.135]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 586, "edu_l1_label": "IOS"}, {"txt": "In addition, while the longitudinal perception of the online robot largely improved or remained consistent across genders, there was gender-related variability in how the robot was perceived as compared to our in-lab study presented in [1].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.224, 0.12, 0.88, 0.135], [0.18, 0.137, 0.88, 0.153], [0.18, 0.154, 0.28, 0.17]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 587, "edu_l1_label": "IOS"}, {"txt": "For instance, while comparing the responses of girls in the remote study and responses of girls in our in-lab study [1], we observed a decrease in the robot’s perception as a confdante (Figure 6(c)).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.28, 0.154, 0.88, 0.17], [0.18, 0.172, 0.763, 0.187]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 588, "edu_l1_label": "IOS"}, {"txt": "We also observed apredominant increase in robot anxiety in boys (Figure 6(d)) between the remote study and our in-lab study presented in [1].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.763, 0.172, 0.88, 0.187], [0.18, 0.189, 0.88, 0.205], [0.18, 0.206, 0.2, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 589, "edu_l1_label": "IOS"}, {"txt": "In addition, when comparing responses to the perception of the role of the robot as a confdante of boys and girls in the remote study (Figure 5 (b)), we observed that girls had a higher opinion of the robot as compared to boys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.196, 0.224, 0.88, 0.239], [0.18, 0.241, 0.853, 0.257]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 590, "edu_l1_label": "IOS"}, {"txt": "The gender-based diferences in user perception between the remote study and our in-lab study [1] could be attributed to the general diference in the attitudes across children with regard to technology [56].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.853, 0.241, 0.88, 0.257], [0.18, 0.258, 0.88, 0.274], [0.18, 0.276, 0.683, 0.291]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 591, "edu_l1_label": "IOS"}, {"txt": "Further, girls’ higher willingnessto confde and share their emotions with others as compared to boys [23, 94]) could also contribute to their higher perception of the robot as a confdante in the remote study as compared to boys.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.683, 0.276, 0.88, 0.291], [0.18, 0.293, 0.88, 0.308], [0.18, 0.31, 0.652, 0.326]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 592, "edu_l1_label": "IOS"}, {"txt": "Thus, in the design of future robot-led technologies for the assessment of mental wellbeing, it is crucial to take into account the diferences in children’sperceptions of the robot and their willingness to open up, to enable an environment where they feel comfortable expressing their feelings truthfully.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.652, 0.31, 0.88, 0.326], [0.18, 0.327, 0.88, 0.343], [0.18, 0.345, 0.88, 0.36], [0.18, 0.362, 0.39, 0.378]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 593, "edu_l1_label": "IOS"}, {"txt": "Moreover, in order to efectively aid the psychological support teams, it is important to consider how frequently should robotised assessments be conducted to gain insights into the children’s mental wellbeing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14700000, "bbox": [[0.196, 0.379, 0.88, 0.395], [0.18, 0.397, 0.751, 0.412]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 594, "edu_l1_label": "IOS"}, {"txt": "As we observed fromour results in the remote study mentioned here and our in-lab study [3, 4], one-of sessions, as well as longitudinal interactions with the robots, can both be efectively useful in understanding the mental wellbeing of children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14700000, "bbox": [[0.751, 0.397, 0.88, 0.412], [0.18, 0.414, 0.88, 0.43], [0.18, 0.431, 0.827, 0.447]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 595, "edu_l1_label": "IOS"}, {"txt": "From an HRI perspective, users’ responses, perceptions and engagement with regard to longitudinal interactions can be variedand must be taken into account while designing interactions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], 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in-home robots or virtual animated characters of robots) that also aim to provide increased accessibility to the robots.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.196, 0.621, 0.88, 0.637], [0.18, 0.639, 0.88, 0.654], [0.18, 0.656, 0.665, 0.672]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 602, "edu_l1_label": "IOS"}, {"txt": "Firstly, while chatbots have become increasingly popular in the mental health domain, often being used in mental health applications, they require some initiative from the participants [54].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.665, 0.656, 0.88, 0.672], [0.18, 0.673, 0.88, 0.689], [0.18, 0.691, 0.392, 0.706]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 603, "edu_l1_label": "IOS"}, {"txt": "This would be difcult to encourage in our study as the participants were children and could even lead to increased drop-out rates in the longitudinal study conducted here.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.392, 0.691, 0.88, 0.706], [0.18, 0.708, 0.713, 0.724]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 604, "edu_l1_label": "IOS"}, {"txt": "Secondly, in the case of in-home robots, there is a logistical disadvantage in terms of accessibility to every child 8, present in diferent parts of the world in comparison with smart devices required for online-mediated robots that are more readily available in households 9.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14900000, "bbox": [[0.196, 0.725, 0.882, 0.741], [0.18, 0.743, 0.88, 0.758], [0.18, 0.76, 0.413, 0.775]]}]}, "tags": ["text"], 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physical embodiment of the robots have been shown to positively afect user responses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.499, 0.137, 0.82, 0.153], [0.12, 0.154, 0.698, 0.17]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 611, "edu_l1_label": "IOS"}, {"txt": "They demonstrated that co-present robots (present in the same room as the participants) have been shown to favourably infuence users’behaviour and preference in comparison with virtual (animated character of robots) or telepresent/online (physical robots present on a camera feed).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.698, 0.154, 0.82, 0.17], [0.12, 0.172, 0.822, 0.187], [0.12, 0.189, 0.82, 0.205], [0.12, 0.206, 0.328, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 612, "edu_l1_label": "IOS"}, {"txt": "In addition, Laban et al [71–73] have shown that online-mediated interactionswith robots (Pepper robot in their case) using videoconferencing platforms like Zoom have been shown to improve self-disclosure and mood of the participants.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.328, 0.206, 0.82, 0.222], [0.119, 0.224, 0.82, 0.239], [0.12, 0.241, 0.39, 0.257]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 613, "edu_l1_label": "IOS"}, {"txt": "This fnding aligns well with the familiarity and comfort that children developed with online platforms like Zoom and Skype over the Covid-19 pandemic, thus facilitating a more convenient and accessible interaction environment10.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": 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"web_segment_id": 1, "global_sentence_id": 616, "edu_l1_label": "IOS"}, {"txt": "Using a virtual robot (or agent) would have changed the robot’s form andappearance to an animated character making it difcult to ascertain if any changes in fndings were due to the mode of the interaction (in-person vs. online) or the robot’s form (virtual animated character or the actual physical robot).Spitale et al [114] have shown that in HRI for wellbeing studies changing robot form leads to signifcant changes in user perception and interaction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.386, 0.31, 0.82, 0.326], [0.12, 0.327, 0.82, 0.343], [0.12, 0.345, 0.822, 0.36], [0.12, 0.362, 0.82, 0.378], [0.12, 0.379, 0.311, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 617, "edu_l1_label": "IOS"}, {"txt": "To this end, we employed robots that interacted with the participants 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"label": "content", "web_segment_id": 0, "global_sentence_id": 625, "edu_l1_label": "IOS"}, {"txt": "Robotised assessments can harness the time efciency of ecological momentary assessment and intervention programs like Artemis-A 12 which utilise computerised adaptive testing to signifcantly reduce the duration of follow-up assessments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15200000, "bbox": [[0.681, 0.604, 0.82, 0.62], [0.12, 0.621, 0.82, 0.637], [0.12, 0.639, 0.694, 0.654]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 626, "edu_l1_label": "IOS"}, {"txt": "This can alleviate the workload and pressure on existing psychological resources that rely solely on the verbal and written responses provided by children [67].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15200000, "bbox": [[0.694, 0.639, 0.82, 0.654], 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psychological states, theseadaptive systems can foster greater engagement, rapport, and deeper self-disclosure [68].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.242, 0.206, 0.88, 0.222], [0.18, 0.224, 0.708, 0.239]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 635, "edu_l1_label": "IOS"}, {"txt": "However, to ensure accurate mental health assessments, these interactions should adhere to standard practices by following a structured, validated, and well-established assessment frameworks [2].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.708, 0.224, 0.88, 0.239], [0.18, 0.241, 0.882, 0.257], [0.18, 0.258, 0.473, 0.274]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 636, "edu_l1_label": "IOS"}, {"txt": "Hence, certain aspects of interaction need to remain structured and consistent in order to adhere to established protocols of wellbeing assessments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.473, 0.258, 0.88, 0.274], [0.18, 0.276, 0.644, 0.291]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 637, "edu_l1_label": "IOS"}, {"txt": "For instance, the RCADS and the SMFQ need to be conducted in accordance with standardised guidelines to maintain the validity and reliability of the fndings [9, 25, 108].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.644, 0.276, 0.88, 0.291], [0.18, 0.293, 0.88, 0.308], [0.18, 0.31, 0.249, 0.326]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 638, "edu_l1_label": "IOS"}, {"txt": "The questionnaire statements could not be modifed as doing so would compromise the validity of the psychological test under consideration [118].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.249, 0.31, 0.88, 0.326], [0.18, 0.327, 0.447, 0.343]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 639, "edu_l1_label": "IOS"}, {"txt": "As such, this highlights the need to balance fexibility with adherence to established protocols so as to ensure desired, valid and reliable outcomes [2].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.447, 0.327, 0.88, 0.343], [0.18, 0.345, 0.639, 0.36]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 640, "edu_l1_label": "IOS"}, {"txt": "Consequently, the current adaptive approaches may not be particularly suitable for mental health assessments [see 11, \"(R4) Verbal adaptation should be limited to preserve well-being practice efcacy\"], especially with children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.196, 0.362, 0.88, 0.378], [0.18, 0.379, 0.819, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 641, "edu_l1_label": "IOS"}, {"txt": "Moreover, despite the potential benefts of afective technologies to quality of interaction, there are critical ethical concerns related to privacy, data security, and the handling of sensitive emotional information.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.819, 0.379, 0.882, 0.395], [0.18, 0.397, 0.88, 0.412], [0.18, 0.414, 0.662, 0.43]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 642, "edu_l1_label": "IOS"}, {"txt": "These adaptive capabilities rely on processing and sharing large amounts of personal data with third parties, raising concerns about the transparency of the algorithms and the potential for biased or inappropriate responses, especially in vulnerable populations like children [65, 68].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.662, 0.414, 0.88, 0.43], [0.18, 0.431, 0.88, 0.447], [0.18, 0.448, 0.88, 0.464], [0.18, 0.466, 0.282, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 643, "edu_l1_label": "IOS"}, {"txt": "Additionally, there are concerns regarding the potential for LLMs to inadvertently reinforce biases or generate inappropriate responses, which could be particularly harmful in sensitive mental health contexts [115].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.282, 0.466, 0.88, 0.481], [0.18, 0.483, 0.882, 0.499]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 644, "edu_l1_label": "IOS"}, {"txt": "For example, if the model produces responses misaligned with a child’s developmental needs or misinterprets theemotional nuances of a situation, it could negatively afect the child’s well-being [64].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.18, 0.5, 0.88, 0.516], [0.18, 0.518, 0.706, 0.533]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 645, "edu_l1_label": "IOS"}, {"txt": "The opaque nature of LLMsfurther complicates eforts to fully ensure the safety and appropriateness of these interactions, emphasising the need for real-time oversight and intervention [49, 78].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.706, 0.518, 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safety in long-term HRI applications.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.705, 0.587, 0.88, 0.602], [0.18, 0.604, 0.88, 0.62], [0.18, 0.621, 0.676, 0.637]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 648, "edu_l1_label": "IOS"}, {"txt": "This calls for a further essential discussion addressing the ethical concerns surrounding the use of social robots in mental wellbeing assessments, particularly regarding trust, confdentiality, and managing children’s expectationsof privacy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.196, 0.639, 0.88, 0.654], [0.18, 0.656, 0.88, 0.672], [0.18, 0.673, 0.244, 0.689]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 649, "edu_l1_label": "IOS"}, {"txt": "While social robots can foster trust and encourage self-disclosure due to their non-judgmental presence, it is crucial to communicate the limits of confdentiality clearly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.244, 0.673, 0.882, 0.689], [0.18, 0.691, 0.566, 0.706]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 650, "edu_l1_label": "IOS"}, {"txt": "Children and their guardians must understand that disclosures related to safety concerns may need to be shared with trusted adults, in line with safeguarding protocols.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.566, 0.691, 0.88, 0.706], [0.18, 0.708, 0.862, 0.724]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 651, "edu_l1_label": "IOS"}, {"txt": "To balance trust with safeguarding duties, a tiered privacy management strategy could be implemented, ensuring that disclosures involving harm are escalated appropriately [36].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.862, 0.708, 0.88, 0.724], [0.18, 0.725, 0.88, 0.741], [0.18, 0.743, 0.54, 0.758]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 652, "edu_l1_label": "IOS"}, {"txt": "Furthermore, while robots may facilitate openness, they should serve as complementary tools, not substitutes for human caregivers, ensuring emotional support remains part of a broader care framework [68].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.54, 0.743, 0.88, 0.758], [0.18, 0.76, 0.88, 0.775], [0.18, 0.777, 0.368, 0.793]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 653, "edu_l1_label": "IOS"}, {"txt": "These ethical considerations deserve their own dedicated discussions, which we are currently exploring through parallel ongoing research [76].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.368, 0.777, 0.88, 0.793], [0.18, 0.794, 0.542, 0.81]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 654, "edu_l1_label": "IOS"}, {"txt": "A key fnding from our interviews with subject matter experts as mentioned in [76] is that, while robots should not make judgement calls, they can be a valuable addition to", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.542, 0.794, 0.88, 0.81], [0.18, 0.812, 0.88, 0.827]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 655, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.12, 0.087, 0.7, 0.102]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 656, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.805, 0.09, 0.82, 0.099]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 657, "edu_l1_label": "EDU_O"}, {"txt": "the children’s safeguarding team.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.12, 0.12, 0.319, 0.135]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 658, "edu_l1_label": "IOS"}, {"txt": "However, there is a clear need for interdisciplinary dialogue to thoughtfully informpolicy and legal frameworks that defne the appropriate roles of robots in children’s lives, particularly in intimate andpersonal settings [76].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.319, 0.12, 0.82, 0.135], [0.12, 0.137, 0.82, 0.153], [0.12, 0.154, 0.252, 0.17]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 659, "edu_l1_label": "IOS"}, {"txt": "6LIMITATIONS AND FUTURE WORK", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15900000, "bbox": [[0.12, 0.186, 0.385, 0.2]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 6, "global_sentence_id": 660, "edu_l1_label": "BOS"}, {"txt": "Although we have addressed the research questions defned at the outset of our work, our study has several limitations that we hope to address in the future.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.119, 0.206, 0.82, 0.222], [0.12, 0.224, 0.344, 0.239]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 661, "edu_l1_label": "IOS"}, {"txt": "First, we have only considered verbal responses from two tasks of the study.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.136, 0.241, 0.593, 0.257]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 662, "edu_l1_label": "IOS"}, {"txt": "Future work will also focus on verbal responses from other tasks (e.g., Task 1: recall of happy and sad memories, Task 3: picture-based task), children’s drawings,and non-verbal responses (e.g., facial expressions, speech), enabling automatic multimodal robot-led assessment of children’s mental wellbeing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.593, 0.241, 0.82, 0.257], [0.12, 0.258, 0.822, 0.274], [0.12, 0.276, 0.82, 0.291], [0.12, 0.293, 0.294, 0.308]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 663, "edu_l1_label": "IOS"}, {"txt": "Second, our research is a feasibility study conducted on a non-clinical population todetermine whether and how SARs can be used as novel tools to contribute to the holistic understanding of mental health status.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.294, 0.293, 0.82, 0.308], [0.12, 0.31, 0.82, 0.326], [0.12, 0.327, 0.159, 0.343]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 664, "edu_l1_label": "IOS"}, {"txt": "In future, we do hope to conduct case-controlled designs in clinical settings with clinical populations through clinician-administered measures.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.159, 0.327, 0.82, 0.343], [0.12, 0.345, 0.32, 0.36]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 665, "edu_l1_label": "IOS"}, {"txt": "Third, we have not taken into consideration whether/how the varying ethnicities of the children might infuence the robotised wellbeing assessment.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.32, 0.345, 0.82, 0.36], [0.12, 0.362, 0.538, 0.378]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 666, "edu_l1_label": "IOS"}, {"txt": "In future, we aim to investigate how cultural diferences might afect the robot-led wellbeing assessment of children.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.538, 0.362, 0.82, 0.378], [0.12, 0.379, 0.546, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 667, "edu_l1_label": "IOS"}, {"txt": "Fourth, we have not considered whether the children’s past experiences with robots might afect their interactionIn future, we aim to investigate how their attitudes towards robots due to their prior experiences might infuence their experience of the robotised wellbeing assessment.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16200000, "bbox": [[0.136, 0.397, 0.819, 0.412], [0.12, 0.414, 0.82, 0.43], [0.12, 0.431, 0.463, 0.447]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 668, "edu_l1_label": "IOS"}, {"txt": "Fifth, we have not taken into account wellbeing changes between online form-flling and the experiment sessions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16200000, "bbox": [[0.463, 0.431, 0.82, 0.447], [0.12, 0.448, 0.465, 0.464]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 669, "edu_l1_label": "IOS"}, {"txt": "In future, we aim to conduct self-report and parent-report questionnaires concurrently with the robot interaction session to avoid any potential fuctuations in mental wellbeing reporting.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16200000, "bbox": [[0.465, 0.448, 0.82, 0.464], [0.12, 0.466, 0.82, 0.481], [0.12, 0.483, 0.18, 0.499]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 670, "edu_l1_label": "IOS"}, {"txt": "Sixth, the time frame of the longitudinal interactions has been kept relatively focused to 3-6 weeks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.136, 0.5, 0.715, 0.516]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 671, "edu_l1_label": "IOS"}, {"txt": "While this period allowed us to capture meaningful trends in children’s wellbeing assessments and perceptions of the robot, extendingthe study over a longer duration could ofer additional insights into the sustained dynamics of CRI [75].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.715, 0.5, 0.82, 0.516], [0.12, 0.518, 0.82, 0.533], [0.12, 0.535, 0.732, 0.551]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 672, "edu_l1_label": "IOS"}, {"txt": "A longer-term study would help to further explore how children’s engagement with the robot evolves over time, especially regardingthe potential novelty efect [112].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.732, 0.535, 0.82, 0.551], [0.12, 0.552, 0.82, 0.568], [0.12, 0.57, 0.322, 0.585]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 673, "edu_l1_label": "IOS"}, {"txt": "Such a study could determine whether the robot continues to maintain children’sinterest and provides sustained benefts, or if engagement declines after additional repeated interactions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.322, 0.57, 0.82, 0.585], [0.12, 0.587, 0.739, 0.602]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 674, "edu_l1_label": "IOS"}, {"txt": "Nevertheless, the fndings of this study provide an important benchmark, demonstrating that over the 3–6 week period, children’sperceptions of the robot either remained stable or improved, suggesting that the novelty efect did not negatively infuence engagement within this timeframe.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.739, 0.587, 0.822, 0.602], [0.12, 0.604, 0.82, 0.62], [0.12, 0.621, 0.82, 0.637], [0.12, 0.639, 0.389, 0.654]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 675, "edu_l1_label": "IOS"}, {"txt": "Future research should seek to replicate and build upon these results by extending interactions to further assess the long-term potential of social robots in child wellbeing assessments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.389, 0.639, 0.82, 0.654], [0.12, 0.656, 0.783, 0.672]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 676, "edu_l1_label": "IOS"}, {"txt": "Additionally, while our study utilized the Nao robot, a widely recognized humanoid platform in HRI [8], it is important to consider that diferent embodiments of robots may lead to variations in children’s interactions and responses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16400000, "bbox": [[0.136, 0.673, 0.82, 0.689], [0.12, 0.691, 0.787, 0.706]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 677, "edu_l1_label": "IOS"}, {"txt": "Priorresearch has demonstrated that robot embodiment can signifcantly infuence factors such as trust, engagement, and self-disclosure [e.g., 69, 114], potentially afecting wellbeing assessments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16400000, "bbox": [[0.787, 0.691, 0.82, 0.706], [0.12, 0.708, 0.82, 0.724], [0.12, 0.725, 0.558, 0.741]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 678, "edu_l1_label": "IOS"}, {"txt": "While we expect that results would remain consistent with other humanoid robots that support verbal interaction [30, 124], future research should explore how other embodiments (e.g., more machine-like designs, or animated virtual humans) might evoke diferent emotional responses or alter children’s perceptions of robots as confdants.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16400000, "bbox": [[0.558, 0.725, 0.82, 0.741], [0.12, 0.743, 0.821, 0.758], [0.12, 0.76, 0.82, 0.775], [0.12, 0.777, 0.497, 0.793]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 679, "edu_l1_label": "IOS"}, {"txt": "Expanding this research to include robots with diverseembodiments will help clarify the generalizability of these fndings across various robotic platforms and better inform the role of embodiment in robot-mediated mental health assessments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16400000, "bbox": [[0.497, 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I. Abbasi is supported by the W.D.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.18, 0.421, 0.403, 0.437]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 692, "edu_l1_label": "EDU_O"}, {"txt": "Armstrong Trust PhD Studentship and the Cambridge Trusts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.403, 0.421, 0.781, 0.437]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 693, "edu_l1_label": "EDU_O"}, {"txt": "G. Laban and H. 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# A Longitudinal Study of Child Wellbeing Assessment via Online Interactions with a Social Robot ## 1INTRODUCTION ## 2RELATED WORKS ### 2.1Wellbeing Assessments ### 2.2Digital Mental Health Support ### 2.3Child robot interaction (CRI) in mental health. ### 2.4Remote access to robots. ### 2.5Longitudinal CRI. ### 2.6Gender diferences in mental health and HRI. ### 2.7Research Qestions and Contributions ## 3METHODS ### 3.1In-lab Study ### 3.2Remote Study #### 3.2.1Participants. #### 3.2.2Setup. #### 3.2.3Robotic platform. #### 3.2.4Experiment protocol. #### 3.2.5Study tasks. #### 3.2.6Measures. ##### The measures used in this work are as follows: ###### Pre-study questionnaires: ###### In-study questionnaires: ###### Post-session questionnaires: ### 3.3Construct Validity Analyses #### 3.3.1SMFQ. #### 3.3.2RCADS - Robot administered. #### 3.3.3RCADS - Self reported. #### 3.3.4RCADS - Parents reported. #### 3.3.5Transferbility of the measurements. ### 3.4Data analyses #### 3.4.1Data clustering. #### 3.4.2Statistical analyses. ## 4RESULTS ### 4.1Tertile categorisation for identification of wellbeing clusters. ### 4.2Efectiveness of online interactions with a social robot in wellbeing assessment (RQ1). ### 4.3The efect of the longitudinal interactions and co-location on user’s perception of the robot (RQ2). ### 4.4 Gender-based diferences in the efectiveness of longitudinal wellbeing assessment and user perception (RQ3). ## 5DISCUSSION ## 6LIMITATIONS AND FUTURE WORK ## 7CONCLUSIONS
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https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2cG2895Te0LTCGZALyTDF.png", "language": "chinese", "position": {"atoms": [{"position_id": 97, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2cG2895Te0LTCGZALyTDF.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[2]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 47, "global_sentence_id": 30, "edu_l1_label": "EDU_O"}, {"txt": "当前的不良贷款率可能明显低估了真实的不良贷款规模。", "language": "chinese", "position": {"atoms": [{"position_id": 511, "txt": "当前的不良贷款率可能明显低估了真实的不良贷款规模。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span/strong[1]/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 48, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "一方面,在银行贷款五级分类中,只有被列入次级类、可疑类与损失类的贷款才会被归为不良贷款,因此商业银行通常会把一些不良贷款放在关注类贷款,这不会导致不良贷款率的上升;", "language": "chinese", "position": {"atoms": [{"position_id": 512, "txt": 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"本文结构安排如下:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/span"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "首先回顾中国不良资产处置的发展历程,包括四大AMC的发展阶段、处置不良资产的主要方式及经营绩效,其次梳理国际不良资产处置经验,最后是前景展望与政策建议。", "language": "chinese", "position": {"atoms": [{"position_id": 520, "txt": "首先回顾中国不良资产处置的发展历程,包括四大AMC的发展阶段、处置不良资产的主要方式及经营绩效,其次梳理国际不良资产处置经验,最后是前景展望与政策建议。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]/span"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "二、中国不良资产处置的发展历程", "language": "chinese", "position": {"atoms": [{"position_id": 522, "txt": "二、中国不良资产处置的发展历程", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/span/strong[1]/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 51, "global_sentence_id": 39, "edu_l1_label": "BOS"}, {"txt": "1、四大AMC的产生与发展", "language": "chinese", "position": {"atoms": 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"1998年,国务院决定组建不良资产处置机构以降低商业银行不良资产率,并由财政部发行特别国债来募集相关资金。", "language": "chinese", "position": {"atoms": [{"position_id": 533, "txt": "1998年,国务院决定组建不良资产处置机构以降低商业银行不良资产率,并由财政部发行特别国债来募集相关资金。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[14]/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "1999年,信达资产、东方资产、长城资产、华融资产四家资产管理公司相继成立,分别收购处置建设银行、中国银行、农业银行和工商银行的不良资产。", "language": "chinese", "position": {"atoms": [{"position_id": 535, "txt": "1999年,信达资产、东方资产、长城资产、华融资产四家资产管理公司相继成立,分别收购处置建设银行、中国银行、农业银行和工商银行的不良资产。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[15]/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "财政部向四家公司各注资100亿资本金,央行提供5700亿再贷款,四家公司向商业银行发行8200亿元债券。", "language": "chinese", "position": {"atoms": [{"position_id": 536, "txt": "财政部向四家公司各注资100亿资本金,央行提供5700亿再贷款,四家公司向商业银行发行8200亿元债券。", "x": 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"txt": "这是以不良资产产生的现金流作为偿付基础发行资产支持证券。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[36]/span/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "不良资产持有者将资产所有权转让给SPV,再由SPV将资产汇集成资产池,设计成证券化产品发售。", "language": "chinese", "position": {"atoms": [{"position_id": 628, "txt": "不良资产持有者将资产所有权转让给SPV,再由SPV将资产汇集成资产池,设计成证券化产品发售。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[36]/span/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "不良资产证券化作为创新性处置方式具有明显优势,能够提升不良资产处置效率(高蓓和张明,2018)和流动性投资者对发行银行风险管理能力的认可度(张潇潇和施文,2018),拓宽投资渠道,从而可能带来较高的潜在收益。", "language": "chinese", "position": {"atoms": [{"position_id": 629, "txt": "不良资产证券化作为创新性处置方式具有明显优势,能够提升不良资产处置效率(高蓓和张明,2018)和流动性投资者对发行银行风险管理能力的认可度(张潇潇和施文,2018),拓宽投资渠道,从而可能带来较高的潜在收益。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[36]/span/span[2]"}]}, "tags": [], "label": "content", 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{"txt": "信达资产的财务费用与营业收入之比从2012年的11.44%增至2022年的49.84%,而2022年华融资产的此项指标甚至高达99.46%。", "language": "chinese", "position": {"atoms": [{"position_id": 666, "txt": "信达资产的财务费用与营业收入之比从2012年的11.44%增至2022年的49.84%,而2022年华融资产的此项指标甚至高达99.46%。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[42]/span"}]}, "tags": [], "label": "content", "web_segment_id": 82, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "二是回归主业趋势加强,但盈利能力有所下降。", "language": "chinese", "position": {"atoms": [{"position_id": 668, "txt": "二是回归主业趋势加强,但盈利能力有所下降。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[43]/span"}]}, "tags": [], "label": "content", "web_segment_id": 83, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "在2017年全国金融工作会议后,四大资产管理公司积极响应政策号召,在经营重点和业务板块划分等方面纷纷作出调整,经营绩效也有所变化。", "language": "chinese", "position": {"atoms": [{"position_id": 670, "txt": "在2017年全国金融工作会议后,四大资产管理公司积极响应政策号召,在经营重点和业务板块划分等方面纷纷作出调整,经营绩效也有所变化。", "x": 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"尤其是2022年,四大AMC收入总额同比下降34%。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[45]/span"}]}, "tags": [], "label": "content", "web_segment_id": 85, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "在业务侧重上,四家资产管理公司有所不同。", "language": "chinese", "position": {"atoms": [{"position_id": 675, "txt": "在业务侧重上,四家资产管理公司有所不同。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[45]/span"}]}, "tags": [], "label": "content", "web_segment_id": 85, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "华融资产的三项业务板块中,不良资产经营业务始终占据主要地位,营业收入贡献度超过50%;", "language": "chinese", "position": {"atoms": [{"position_id": 676, "txt": "华融资产的三项业务板块中,不良资产经营业务始终占据主要地位,营业收入贡献度超过50%;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[45]/span"}]}, "tags": [], "label": "content", "web_segment_id": 85, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": "金融服务业务次之,资产管理和投资业务占比最低。", "language": "chinese", "position": {"atoms": [{"position_id": 677, "txt": "金融服务业务次之,资产管理和投资业务占比最低。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[45]/span"}]}, "tags": [], "label": "content", "web_segment_id": 85, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": "信达资产业务板块与华融资产较为相近,其在2019年重新划分经营分部,聚焦不良资产板块与金融服务板块,强化经营主责主业,不良资产经营业务收入占比在2018年之后显著提升,最近四年一直保持在70%以上。", "language": "chinese", "position": {"atoms": [{"position_id": 678, "txt": "信达资产业务板块与华融资产较为相近,其在2019年重新划分经营分部,聚焦不良资产板块与金融服务板块,强化经营主责主业,不良资产经营业务收入占比在2018年之后显著提升,最近四年一直保持在70%以上。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[45]/span"}]}, "tags": [], "label": "content", "web_segment_id": 85, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "长城资产的主营业务净收入主要来自不良资产经营管理业务,占比在75%~90%间,其余净收入来源于银行业务、保险业务、租赁业务和证券业务等。", "language": "chinese", "position": {"atoms": [{"position_id": 679, "txt": "长城资产的主营业务净收入主要来自不良资产经营管理业务,占比在75%~90%间,其余净收入来源于银行业务、保险业务、租赁业务和证券业务等。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[45]/span"}]}, "tags": [], "label": "content", 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"这一现象侧面反映出,一方面压降非主营业务对资产管理公司的盈利能力有明显影响,而另一方面,由于经济增速趋缓、房地产等行业风险暴露,依靠资产增值获得处置收益的运营模式已难以为继,不良资产处置难度加大,如何通过不良资产主业拓展盈利仍是资产管理公司持续探索的重点。", "language": "chinese", "position": {"atoms": [{"position_id": 686, "txt": "这一现象侧面反映出,一方面压降非主营业务对资产管理公司的盈利能力有明显影响,而另一方面,由于经济增速趋缓、房地产等行业风险暴露,依靠资产增值获得处置收益的运营模式已难以为继,不良资产处置难度加大,如何通过不良资产主业拓展盈利仍是资产管理公司持续探索的重点。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[46]/span"}]}, "tags": [], "label": "content", "web_segment_id": 86, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2fr7M23MlDwa1DL5K5ads1t.png", "language": "chinese", "position": {"atoms": [{"position_id": 269, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2fr7M23MlDwa1DL5K5ads1t.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[4]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 87, "global_sentence_id": 144, "edu_l1_label": "EDU_O"}, {"txt": "三、不良资产处置的国际经验", "language": "chinese", "position": {"atoms": [{"position_id": 688, "txt": "三、不良资产处置的国际经验", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[47]/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 88, "global_sentence_id": 145, "edu_l1_label": "BOS"}, {"txt": "1、美国的“RTC模式”与“TARP模式”", "language": "chinese", "position": {"atoms": [{"position_id": 690, "txt": "1", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[48]/span/strong[1]/span"}, {"position_id": 692, "txt": "、美国的“", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[48]/span/strong[2]/span"}, {"position_id": 694, "txt": "RTC", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[48]/span/strong[3]/span"}, {"position_id": 696, "txt": "模式”与“", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[48]/span/strong[4]/span"}, {"position_id": 698, "txt": "TARP", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[48]/span/strong[5]/span"}, 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Company,重组托管公司,RTC)。", "language": "chinese", "position": {"atoms": [{"position_id": 705, "txt": "第一次大规模处置不良资产是在储贷协会危机期间,主要采取“RTC模式”(Resolution Trust Company,重组托管公司,RTC)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[50]/span"}]}, "tags": [], "label": "content", "web_segment_id": 91, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": "1980年代,储贷机构资产端主要集中于房地产行业,房贷期限长,而负债端期限较短。", "language": "chinese", "position": {"atoms": [{"position_id": 706, "txt": "1980年代,储贷机构资产端主要集中于房地产行业,房贷期限长,而负债端期限较短。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[50]/span"}]}, "tags": [], "label": "content", "web_segment_id": 91, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "由于高利率下资产减值压力增加而负债端吸储乏力,引发储贷协会危机。", "language": "chinese", "position": {"atoms": [{"position_id": 707, "txt": "由于高利率下资产减值压力增加而负债端吸储乏力,引发储贷协会危机。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[50]/span"}]}, "tags": [], "label": "content", "web_segment_id": 91, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "1989年美国国会通过《金融机构改革、复兴和实施法案》,设立RTC全面接管破产机构的资产和负债。", "language": "chinese", "position": {"atoms": [{"position_id": 709, "txt": "1989年美国国会通过《金融机构改革、复兴和实施法案》,设立RTC全面接管破产机构的资产和负债。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[51]/span"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "RTC的主要职责为清收问题机构资产,通过市场化手段管理处置,资金来源于债券发行和财政部借款。", "language": "chinese", "position": {"atoms": [{"position_id": 710, "txt": "RTC的主要职责为清收问题机构资产,通过市场化手段管理处置,资金来源于债券发行和财政部借款。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[51]/span"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "RTC处置手段主要包括公开拍卖、暗盘竞标/资产管理合同、资产证券化和合伙经营等,其中资产证券化手段尤为重要。", "language": "chinese", "position": {"atoms": [{"position_id": 711, "txt": "RTC处置手段主要包括公开拍卖、暗盘竞标/资产管理合同、资产证券化和合伙经营等,其中资产证券化手段尤为重要。", "x": 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"RTC在1989年—1995年间,累计托管了美国40多个州的747家储贷机构,处置资产总额共计4200多亿美元。", "language": "chinese", "position": {"atoms": [{"position_id": 715, "txt": "RTC在1989年—1995年间,累计托管了美国40多个州的747家储贷机构,处置资产总额共计4200多亿美元。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[52]/span"}]}, "tags": [], "label": "content", "web_segment_id": 93, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "第二次大规模处置不良资产是在次贷危机爆发后,主要采取“TARP模式”(Troubled Asset  Relief Program, TARP,问题资产救助计划)。", "language": "chinese", "position": {"atoms": [{"position_id": 717, "txt": "第二次大规模处置不良资产是在次贷危机爆发后,主要采取“TARP模式”(Troubled Asset  Relief Program, TARP,问题资产救助计划)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[53]/span"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "2008年10月美国国会通过《经济紧急稳定法案》,其中核心内容为7000亿美元的TARP方案,由财政部使用资金,通过购买问题资产来救助金融机构。", "language": "chinese", "position": {"atoms": [{"position_id": 718, "txt": 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"edu_l1_label": "IOS"}, {"txt": "该计划旨在以财政部资本金等公共资金撬动私人资本来联合收购不良资产。", "language": "chinese", "position": {"atoms": [{"position_id": 721, "txt": "该计划旨在以财政部资本金等公共资金撬动私人资本来联合收购不良资产。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[53]/span"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "美国财政部与投资者按1:", "language": "chinese", "position": {"atoms": [{"position_id": 722, "txt": "美国财政部与投资者按1:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[53]/span"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "1出资共建公私合营投资基金,用以收购不良贷款和不良债券,联邦存款保险公司可为私人投资者提供融资担保,提升其参与投资的积极性。", "language": "chinese", "position": {"atoms": [{"position_id": 723, "txt": "1出资共建公私合营投资基金,用以收购不良贷款和不良债券,联邦存款保险公司可为私人投资者提供融资担保,提升其参与投资的积极性。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[53]/span"}]}, "tags": [], "label": "content", "web_segment_id": 94, 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"KAMCO处置不良资产方式主要包括不良资产证券化、企业重组、债转股等。", "language": "chinese", "position": {"atoms": [{"position_id": 737, "txt": "KAMCO处置不良资产方式主要包括不良资产证券化、企业重组、债转股等。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[56]/span"}]}, "tags": [], "label": "content", "web_segment_id": 97, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "不良资产证券化是韩国处置不良资产的重要手段,政府在1998年制订《资产证券化法案》以推动其深入发展。", "language": "chinese", "position": {"atoms": [{"position_id": 738, "txt": "不良资产证券化是韩国处置不良资产的重要手段,政府在1998年制订《资产证券化法案》以推动其深入发展。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[56]/span"}]}, "tags": [], "label": "content", "web_segment_id": 97, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "据统计,韩国约有三分之一不良资产是通过证券化手段处置(Thomas,2004)。", "language": "chinese", "position": {"atoms": [{"position_id": 739, "txt": "据统计,韩国约有三分之一不良资产是通过证券化手段处置(Thomas,2004)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[56]/span"}]}, "tags": [], "label": "content", "web_segment_id": 97, 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"txt": "未来要妥善化解新一轮商业银行不良资产,需要“三管齐下”。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[63]/span/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 104, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "首先,商业银行必须要靠自己的不良资产拨备与净利润去消化部分不良资产。", "language": "chinese", "position": {"atoms": [{"position_id": 774, "txt": "首先,商业银行必须要靠自己的不良资产拨备与净利润去消化部分不良资产。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[63]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 104, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": "其次,商业银行可以通过市场化手段,将部分不良资产以市场价格转让给更具经验的第三方机构,让其去进行化解。", "language": "chinese", "position": {"atoms": [{"position_id": 775, "txt": "其次,商业银行可以通过市场化手段,将部分不良资产以市场价格转让给更具经验的第三方机构,让其去进行化解。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[63]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 104, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "再次,等商业银行的资产负债表变得更加干净之后,中央政府或地方政府可以通过财政资金注资,以帮其补充资本金。", "language": "chinese", "position": {"atoms": [{"position_id": 776, "txt": "再次,等商业银行的资产负债表变得更加干净之后,中央政府或地方政府可以通过财政资金注资,以帮其补充资本金。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[63]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 104, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "不难看出,在上述第二个环节中,中国资产管理公司面临广阔的发展机遇,可通过综合运用收购处置、重组重整、债转股、不良资产证券化等多种方式处置不良资产,进行风险化解。", "language": "chinese", "position": {"atoms": [{"position_id": 778, "txt": "不难看出,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[64]/span/span[1]"}, {"position_id": 780, "txt": "在上述第二个环节中,中国资产管理公司面临广阔的发展机遇,可通过综合运用收购处置、重组重整、债转股、不良资产证券化等多种方式处置不良资产,进行风险化解。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[64]/span/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 105, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": "然而不容忽视的是,市场化挑战对资产管理公司的专业能力提出了重大考验,如何立足主业以专业手段实现资产盘活增值,助力防范化解重点领域风险,值得重点关注。", "language": "chinese", "position": {"atoms": [{"position_id": 782, "txt": "然而不容忽视的是,市场化挑战对资产管理公司的专业能力提出了重大考验,如何立足主业以专业手段实现资产盘活增值,助力防范化解重点领域风险,值得重点关注。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[64]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 105, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "新形势下,为助力AMC高效处置不良资产、防范化解风险,结合不良资产处置的国际经验,笔者提出如下政策建议。", "language": "chinese", "position": {"atoms": [{"position_id": 784, "txt": "新形势下,为助力AMC高效处置不良资产、防范化解风险,结合不良资产处置的国际经验,笔者提出如下政策建议。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[65]/span"}]}, "tags": [], "label": "content", "web_segment_id": 106, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "一是应健全资产证券化有关政策,支持引导金融机构进行不良资产证券化。", "language": "chinese", "position": {"atoms": [{"position_id": 786, "txt": "一是应健全资产证券化有关政策,支持引导金融机构进行不良资产证券化。", "x": 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"edu_l1_label": "IOS"}, {"txt": "二是应完善对资产管理公司统一的监管标准。", "language": "chinese", "position": {"atoms": [{"position_id": 791, "txt": "二是应完善对资产管理公司统一的监管标准。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[67]/span/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 108, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": "目前我国不良资产行业成型但不成熟,行业主体有全国性AMC、地方AMC、非持牌AMC等,但并非受相同监管约束,且不同的监管部门对行业主体认定标准存在差异。", "language": "chinese", "position": {"atoms": [{"position_id": 793, "txt": "目前我国不良资产行业成型但不成熟,行业主体有全国性AMC、地方AMC、非持牌AMC等,但并非受相同监管约束,且不同的监管部门对行业主体认定标准存在差异。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[67]/span/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 108, "global_sentence_id": 200, "edu_l1_label": "IOS"}, {"txt": "例如地方AMC被认定为非金融机构,不享受金融机构同业拆借等同业投融资政策,在税收优惠等方面也不能享有与全国性AMC同等待遇。", "language": "chinese", "position": {"atoms": [{"position_id": 794, "txt": "例如地方AMC被认定为非金融机构,不享受金融机构同业拆借等同业投融资政策,在税收优惠等方面也不能享有与全国性AMC同等待遇。", "x": 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"web_segment_id": 109, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "四是应积极拓宽资产管理公司融资渠道。", "language": "chinese", "position": {"atoms": [{"position_id": 803, "txt": "四是应积极拓宽资产管理公司融资渠道。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[69]/span/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 110, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "资产管理公司负债端以短期债务为主,融资期限短,融资成本较高,融资来源有限。", "language": "chinese", "position": {"atoms": [{"position_id": 805, "txt": "资产管理公司负债端以短期债务为主,融资期限短,融资成本较高,融资来源有限。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[69]/span/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 110, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "而资产端收购的不良资产处置周期较长,在当前经济增速放缓、风险错综复杂的背景下,不良资产项目涉及债权主体多、复杂程度高、处置周期拉长,导致企业资产负债错配,影响业务开展。", "language": "chinese", "position": {"atoms": [{"position_id": 806, "txt": "而资产端收购的不良资产处置周期较长,在当前经济增速放缓、风险错综复杂的背景下,不良资产项目涉及债权主体多、复杂程度高、处置周期拉长,导致企业资产负债错配,影响业务开展。", "x": 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"tags": ["img"], "label": "O", "web_segment_id": 119, "global_sentence_id": 227, "edu_l1_label": "EDU_O"}, {"txt": "点击下方原文链接加入会员|首席社", "language": "chinese", "position": {"atoms": [{"position_id": 842, "txt": "点击下方原文链接加入会员|首席社", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[5]/span"}]}, "tags": [], "label": "O", "web_segment_id": 120, "global_sentence_id": 228, "edu_l1_label": "EDU_O"}, {"txt": " 首席经济学家论坛 ", "language": "chinese", "position": {"atoms": [{"position_id": 844, "txt": "\n 首席经济学家论坛 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 138, "global_sentence_id": 229, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 张明、李明洲:中国的不良资产处置——发展历程、国际经验与政策建议 ## 一、当前中国银行业不良资产的特点 ## 二、中国不良资产处置的发展历程 ### 1、四大AMC的产生与发展 ### 2、不良资产处置的主要方式 ### 3、四大AMC的经营绩效 #### 一是杠杆率显著提升,资产负债期限错配风险突出。 #### 二是回归主业趋势加强,但盈利能力有所下降。 ## 三、不良资产处置的国际经验 ### 1、美国的“RTC模式”与“TARP模式” ### 2、韩国的资产管理公司(KAMCO)模式 ### 3、日本的RCC模式与政府注资模式 ## 四、政策建议
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["strong"], "label": "O", "web_segment_id": 75, "global_sentence_id": 68, "edu_l1_label": "EDU_O"}, {"txt": "证券时报智能原创新媒体。", "language": "chinese", "position": {"atoms": [{"position_id": 380, "txt": "证券时报智能原创新媒体。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[3]/section/section[2]/p/strong"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 75, "global_sentence_id": 69, "edu_l1_label": "EDU_O"}, {"txt": " 数据宝 ", "language": "chinese", "position": {"atoms": [{"position_id": 382, "txt": "\n 数据宝 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 93, "global_sentence_id": 70, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 刚刚!泽连斯基,重大宣布! ## 泽连斯基最新发声 ## 美方称乌或需要新领导人 ## 英法的动作
e317ddc3-6890-4d39-ad21-566bbaea9bca
web
test/raw_web_htmls/e317ddc3-6890-4d39-ad21-566bbaea9bca.html
https://www.163.com/dy/article/JPKHQ18K051196HN.html
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"值得一提的是,N7将于4月份开启预售发布会,届时将披露更多产品相关亮点和预售价格,敬请期待。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3HOwHN2K2Ak32EV9KfNHDol.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 449, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3HOwHN2K2Ak32EV9KfNHDol.jpeg", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[35]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 36, "global_sentence_id": 67, "edu_l1_label": "EDU_O"}, {"txt": "坚定“在中国、为中国、向全球”战略,新能源转型全面提速", "language": "chinese", "position": {"atoms": [{"position_id": 602, "txt": "坚定“在中国、为中国、向全球”战略,新能源转型全面提速", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[36]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 37, "global_sentence_id": 68, "edu_l1_label": "BOS"}, {"txt": "在天演架构的基础上,东风日产在新能源转型的赛道上全力进击。", "language": "chinese", "position": {"atoms": [{"position_id": 604, "txt": "在天演架构的基础上,东风日产在新能源转型的赛道上全力进击。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 38, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "产品布局方面,在2026年底前,东风日产将推出5款新能源车型,涵盖SUV和轿车,覆盖纯电、插混、增程多种动力类型。", "language": "chinese", "position": {"atoms": [{"position_id": 605, "txt": "产品布局方面,在2026年底前,东风日产将推出5款新能源车型,涵盖SUV和轿车,覆盖纯电、插混、增程多种动力类型。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 38, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "后续还将推出专为全球市场量身打造的新能源产品矩阵,出口至多个国家和地区,为全球用户提供超越期待的出行解决方案。", "language": "chinese", "position": {"atoms": [{"position_id": 606, "txt": "后续还将推出专为全球市场量身打造的新能源产品矩阵,出口至多个国家和地区,为全球用户提供超越期待的出行解决方案。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 38, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/24LeNn3xNonJ1KZG0b3mQoy1.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 456, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/24LeNn3xNonJ1KZG0b3mQoy1.jpeg", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[38]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 39, "global_sentence_id": 72, "edu_l1_label": "EDU_O"}, {"txt": "东风汽车有限公司副总裁、东风日产乘用车公司总经理关口勋表示:", "language": "chinese", "position": {"atoms": [{"position_id": 608, "txt": "东风汽车有限公司副总裁、东风日产乘用车公司总经理关口勋表示:", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[39]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 40, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "“东风日产会继续立足中国,持续展开‘在中国、为中国’的经营战略。”", "language": "chinese", "position": {"atoms": [{"position_id": 609, "txt": "“东风日产会继续立足中国,持续展开‘在中国、为中国’的经营战略。”", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[39]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 40, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "在2026年底前,东风日产将持续投入100亿人民币,将研发团队规模扩增至4000人,专注于电动化和智能化技术的深度探索与创新。", "language": "chinese", "position": {"atoms": [{"position_id": 611, "txt": "在2026年底前,东风日产将持续投入100亿人民币,将研发团队规模扩增至4000人,专注于电动化和智能化技术的深度探索与创新。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[39]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 40, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "同时,东风日产积极携手中国领先科技公司,与华为合作深度整合鸿蒙生态,与Momenta共同打造基于端到端智驾大模型的高阶智驾方案,全面提升智能化竞争力。", "language": "chinese", "position": {"atoms": [{"position_id": 612, "txt": "同时,东风日产积极携手中国领先科技公司,与华为合作深度整合鸿蒙生态,与Momenta共同打造基于端到端智驾大模型的高阶智驾方案,全面提升智能化竞争力。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[39]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 40, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2v9xFI3lKH5b1yFxe119DSyV.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 462, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2v9xFI3lKH5b1yFxe119DSyV.jpeg", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[40]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 41, "global_sentence_id": 77, "edu_l1_label": "EDU_O"}, {"txt": "汽车行业洗牌加速的背景下,东风日产以一声“NI好”,对未来的新能源用户发出自信问候;", "language": "chinese", "position": {"atoms": [{"position_id": 614, "txt": "汽车行业洗牌加速的背景下,东风日产以一声“NI好”,对未来的新能源用户发出自信问候;", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "以“最家”技术,彰显品牌对中国新能源家庭的温暖承诺。", "language": "chinese", "position": {"atoms": [{"position_id": 615, "txt": "以“最家”技术,彰显品牌对中国新能源家庭的温暖承诺。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "秉持人·车·生活的品牌理念,东风日产将通过一场新能源“最家”革命,为合资新能源转型开创全新范式。", "language": "chinese", "position": {"atoms": [{"position_id": 616, "txt": "秉持人·车·生活的品牌理念,东风日产将通过一场新能源“最家”革命,为合资新能源转型开创全新范式。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "全球技术与本土智慧深度融合,拥抱新能源生态走向开放创新,这不仅代表着一个汽车巨头的转型决心,更是中国汽车产业从市场引领者迈向技术定义者的时代缩影。", "language": "chinese", "position": {"atoms": [{"position_id": 617, "txt": "全球技术与本土智慧深度融合,拥抱新能源生态走向开放创新,这不仅代表着一个汽车巨头的转型决心,更是中国汽车产业从市场引领者迈向技术定义者的时代缩影。", "x": "/html/body/div[2]/div[2]/div[3]/div[2]/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 81, "edu_l1_label": "IOS"}], "type": "WEB"}
# 开启转型“家”速度,东风日产全面进入新能源第一梯队 ## 东风日产技术利刃出鞘,彰显新能源转型底气 ## 新能源“最家”技术尖点释放,打造安心舒适智能的家 ### · 越级安心,打造安全可靠的移动堡垒 ### · 极致舒适,定义“好坐不晕”智电新标准 ### · 智能进阶,跻身智能化第一梯队 ## 天演架构首款重磅车型,东风日产N7将幸福的家具象化 ## 坚定“在中国、为中国、向全球”战略,新能源转型全面提速
56dd96e3-2339-4a59-97e6-0794d65d5fd0
web
test/raw_web_htmls/56dd96e3-2339-4a59-97e6-0794d65d5fd0.html
https://www.theverge.com/2025/1/4/24335163/ces-2025-what-to-expect-tvs-smart-home-auto
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# What to expect at CES 2025 ## TVs ## Smart home ## Auto ## Laptops ## Gaming ## Smartphones ## Wearables
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0.594]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "本报告仅向与太平洋证券签署服务协议的签约客户发布,为太平洋证券签约客户的专属研究产品,若您并非太平洋证券签约客户,请取消接收、订阅或使用本报告中的任何信息;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.18, 0.608, 0.882, 0.619], [0.147, 0.634, 0.77, 0.646]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "太平洋证券不会因接收人收到、阅读或关注媒体推送本报告中的内容而视其为太平洋证券的客户。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.77, 0.634, 0.9, 0.647], [0.146, 0.66, 0.753, 0.672]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "在任何情况下,本报告中的信息或所表述的意见并不构成对任何机构和个人的投资建议,投资者应自主作出投资决策并自行承担投资风险,任何形式的分享证券投资收益或者分担证券投资损失的书面或口头承诺均为无效。", "language": "chinese", 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0.891, 0.394, 0.903]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "本报告版权归太平洋证券股份有限公司所有,未经书面许可任何机构和个人不得以任何形式翻版、复制、刊登。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.394, 0.891, 0.9, 0.903], [0.146, 0.917, 0.482, 0.929]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "任何人使用本报告,视为同意以上声明。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.482, 0.917, 0.788, 0.929]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 102, "edu_l1_label": "IOS"}], "type": "PDF"}
# 太平洋医药日报(20250317):Rytelo在欧盟获批上市 ## 报告摘要 ### 市场表现: ### 行业要闻: ### 公司要闻: ### 风险提示:新药研发及上市不及预期;市场竞争加剧风险等。
d4b1986c-e96a-4e6f-98db-a7693dc6c8b4
web
test/raw_web_htmls/d4b1986c-e96a-4e6f-98db-a7693dc6c8b4.html
https://mp.weixin.qq.com/s/gVf3ZNMbrcxPniAfYDcMHw
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"是长期稳定的赚钱5-7%,还是赚了好几年10%多之后,好几年没有再赚钱,平均下来利润率只有5%左右", "language": "chinese", "position": {"atoms": [{"position_id": 745, "txt": "是长期稳定的赚钱5-7%,还是赚了好几年10%多之后,好几年没有再赚钱,平均下来利润率只有5%左右", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/ul[12]/li[2]/section/p"}]}, "tags": ["li"], "label": "content", "web_segment_id": 143, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "一个长期利润率很低的公司,说明了公司的一些情况,有可能公司是沉睡的狮子,这时候就需要一些刺激因素才能使公司重振旗鼓,通常来说,这个刺激因素通常需要新的管理层,需要文化重塑", "language": "chinese", "position": {"atoms": [{"position_id": 747, "txt": "一个长期利润率很低的公司,说明了公司的一些情况,有可能公司是沉睡的狮子,这时候就需要一些刺激因素才能使公司重振旗鼓,通常来说,这个刺激因素通常需要新的管理层,需要文化重塑", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/ul[12]/li[3]/section/p"}]}, "tags": ["li"], "label": "content", "web_segment_id": 144, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "问公司的管理层:", "language": "chinese", "position": {"atoms": [{"position_id": 749, "txt": "问公司的管理层:", "x": 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162, "edu_l1_label": "IOS"}, {"txt": "别人没有的优势(竞争优势)的来源:", "language": "chinese", "position": {"atoms": [{"position_id": 763, "txt": "别人没有的优势(竞争优势)的来源:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/ul[12]/li[7]/section/p"}]}, "tags": ["li"], "label": "content", "web_segment_id": 150, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "营销优势、生产优势、研究优势 ", "language": "chinese", "position": {"atoms": [{"position_id": 764, "txt": "营销优势、生产优势、研究优势 ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/ul[12]/li[7]/section/p"}]}, "tags": ["li"], "label": "content", "web_segment_id": 150, "global_sentence_id": 164, "edu_l1_label": "IOS"}, {"txt": "相对市场占有率更加重要,看起来C公司处于更好的市场地位,最高的市场占有率,能够将更多的钱投入市场,但是这里面也有很多潜在的变量:", "language": "chinese", "position": {"atoms": [{"position_id": 766, "txt": "相对市场占有率更加重要,看起来C公司处于更好的市场地位,最高的市场占有率,能够将更多的钱投入市场,但是这里面也有很多潜在的变量:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/ul[12]/li[8]/section/p"}]}, "tags": 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{"txt": "11、利润率分析(续)——公示和准则", "language": "chinese", "position": {"atoms": [{"position_id": 769, "txt": "11、利润率分析(续)——公示和准则", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[1]/h2/span"}]}, "tags": ["h2"], "label": "title2", "web_segment_id": 153, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "一个公司长期的潜在利润率水平的公式:", "language": "chinese", "position": {"atoms": [{"position_id": 771, "txt": "一个公司长期的潜在利润率水平的公式:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[1]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/13PI5T3iKOkVJDQeu3DqNGU.png", "language": "chinese", "position": {"atoms": [{"position_id": 326, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/13PI5T3iKOkVJDQeu3DqNGU.png", "x": 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{"atoms": [{"position_id": 880, "txt": "When a company goes public at 10 times sales, it is the same as 100 times earnings for a company earning 10 percent after-tax profits。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 191, "global_sentence_id": 233, "edu_l1_label": "IOS"}, {"txt": "这句话的意思应该是,如果一个企业以10倍PS 的估值IPO,在10%净利润率的情况下,相当于是100倍PE。", "language": "chinese", "position": {"atoms": [{"position_id": 882, "txt": "这句话的意思应该是,如果一个企业以10倍PS 的估值IPO,在10%净利润率的情况下,相当于是100倍PE。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 192, "global_sentence_id": 234, "edu_l1_label": "IOS"}, {"txt": "而我看的那版中文版翻译的是:", "language": "chinese", "position": {"atoms": [{"position_id": 884, "txt": "而我看的那版中文版翻译的是:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 193, "global_sentence_id": 235, "edu_l1_label": "IOS"}, {"txt": "对于获得10%税后利润的上市公司而言,销售额扩大十倍,相当于收益扩大100倍。", "language": "chinese", "position": {"atoms": [{"position_id": 885, "txt": "对于获得10%税后利润的上市公司而言,销售额扩大十倍,相当于收益扩大100倍。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 193, "global_sentence_id": 236, "edu_l1_label": "IOS"}, {"txt": "错的离谱。", "language": "chinese", "position": {"atoms": [{"position_id": 886, "txt": "错的离谱。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 193, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": "后来我找到经济科学出版社,在2000年出版的翻译版本,反而整体翻译的内容准确度要高很多。", "language": "chinese", "position": {"atoms": [{"position_id": 888, "txt": "后来我找到经济科学出版社,在2000年出版的翻译版本,反而整体翻译的内容准确度要高很多。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 194, "global_sentence_id": 238, "edu_l1_label": "IOS"}, {"txt": "————————————————————————————————", "language": "chinese", "position": {"atoms": [{"position_id": 890, "txt": "————————————————————————————————", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[9]"}]}, "tags": [], "label": "O", "web_segment_id": 195, "global_sentence_id": 239, "edu_l1_label": "EDU_O"}, {"txt": "我是锦诗,一级市场从业者,看二级投资的书,其实基本理念仍可借鉴:", "language": "chinese", "position": {"atoms": [{"position_id": 892, "txt": "我是锦诗,一级市场从业者,看二级投资的书,其实基本理念仍可借鉴:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[10]/span"}]}, "tags": [], "label": "author", "web_segment_id": 196, "global_sentence_id": 240, "edu_l1_label": "EDU_O"}, {"txt": "寻找短期遇到困难,但是长期有前景的公司。", "language": "chinese", "position": {"atoms": [{"position_id": 893, "txt": "寻找短期遇到困难,但是长期有前景的公司。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[10]/span"}]}, "tags": [], "label": "content", "web_segment_id": 196, "global_sentence_id": 241, "edu_l1_label": "EDU_O"}, {"txt": "二级追高了尚有离场的机会,一级天然的长期锁定,更需要有更长远的视野和耐心。", "language": "chinese", "position": {"atoms": [{"position_id": 895, "txt": "二级追高了尚有离场的机会,一级天然的长期锁定,更需要有更长远的视野和耐心。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[11]/span"}]}, "tags": [], "label": "content", "web_segment_id": 197, "global_sentence_id": 242, "edu_l1_label": "EDU_O"}, {"txt": "欢迎关注我的公众号,关于我的介绍及写作初心,请见公众号的第一篇文章:", "language": "chinese", "position": {"atoms": [{"position_id": 897, "txt": "欢迎关注我的公众号,关于我的介绍及写作初心,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[12]/span[1]"}, {"position_id": 899, "txt": "请见公众号的第一篇文章:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[12]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 198, "global_sentence_id": 243, "edu_l1_label": "EDU_O"}, {"txt": "我为什么写作,后台输入“联系方式”,可获得作者的联系方式。", "language": "chinese", "position": {"atoms": [{"position_id": 901, "txt": "我为什么写作", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[12]/span[2]/a"}, {"position_id": 903, "txt": ",", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[12]/span[2]/a"}, {"position_id": 905, "txt": "后台输入“联系方式”,可获得作者的联系方式。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[12]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 198, "global_sentence_id": 244, "edu_l1_label": "EDU_O"}, {"txt": " 一五一十一少年 ", "language": "chinese", "position": {"atoms": [{"position_id": 907, "txt": "\n 一五一十一少年 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 216, "global_sentence_id": 245, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 超级强势股(Super Stocks)读书笔记 ## 书籍要点 ### 超级强势股(super stocks)的定义: ### 超级强势股产生的原因: ### 识别超级强势股的方法: ## 作者简介 ## 第一部分 剖析超级强势股——为什么会出现超级强势股的机会? ### 1、企业发展阶段有波折,对应股价会带来更加剧烈的波动 ### 2、什么使困境发生转变? ## 第二部分 定价分析 ### 3、股票估值传统方法的问题(主要针对的是用利润或净资产为评价标准的方法): #### 市盈率派的缺陷 #### 本杰明·格雷厄姆的方法:出色但是还不够 #### 从每股收益等微观层面超脱出来,思考公司作为一个整体,以及以下信息: ### 4、市销率(PSR,price sales ratios) #### 市销率定义下的超级成长股: #### 为什么应该采用市销率的指标? #### 关于市销率的几个规则: #### 关于PS值的几个研究结论: ### 5、市研率 ### 6、市销率在非强势股上的应用 ### 7、丑小鸭变成白天鹅 ## 第三部分:基本面分析 ### 8、超级公司:从商业角度追求卓越 ### 9、规避风险-规避竞争 ### 10、利润率分析——我这一生最想要的是别人没有的优势(All I Really Want in Life Is an Unfair Advantage) ### 11、利润率分析(续)——公示和准则 ### 12、在实践中应用 #### 实践中的理念基础: ### 13、把钱带回家——何时卖出 ### 14、实际案例
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"{kyeongkookseo, jaejun.yoo}@unist.ac.kr, [email protected]", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.186, 0.241, 0.74, 0.253]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 6, "global_sentence_id": 13, "edu_l1_label": "EDU_O"}, {"txt": "ABSTRACT", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.455, 0.288, 0.545, 0.306]]}]}, "tags": ["title"], "label": "abstract", "web_segment_id": 5, "global_sentence_id": 14, "edu_l1_label": "BOS"}, {"txt": "Despite recent advancements in federated learning (FL), the integration of generative models into FL has been limited due to challenges such as high communication costs and unstable training in heterogeneous data environments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.235, 0.322, 0.765, 0.337], [0.235, 0.335, 0.765, 0.351], [0.235, 0.349, 0.692, 0.364]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "To address these issues, we propose PRISM, a FL framework tailored for generative models that ensures (i) stable performance in heterogeneous data distributions and (ii) resource effciency in terms of communication cost and fnal model size.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.692, 0.349, 0.765, 0.364], [0.235, 0.363, 0.765, 0.378], [0.235, 0.377, 0.765, 0.392], [0.235, 0.391, 0.706, 0.406]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "The key of our method is to search for an optimal stochastic binary mask for a random network rather than updating the model weights, identifying a sparse subnetwork with high generative performance; i.e., a “strong lottery ticket”.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.706, 0.391, 0.765, 0.406], [0.235, 0.405, 0.765, 0.42], [0.235, 0.418, 0.765, 0.434], [0.235, 0.432, 0.666, 0.447]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "By communi-cating binary masks in a stochastic manner, PRISM minimizes communication overhead.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.666, 0.432, 0.765, 0.447], [0.235, 0.446, 0.765, 0.461], [0.235, 0.46, 0.298, 0.475]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "Combined with the utilization of maximum mean discrepancy (MMD) loss and a mask-aware dynamic moving average aggregation method (MADA) on the server side, PRISM facilitates stable and strong generative capabilities by mitigating local divergence in FL scenarios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.298, 0.46, 0.765, 0.475], [0.235, 0.474, 0.765, 0.489], [0.235, 0.488, 0.765, 0.503], [0.235, 0.501, 0.528, 0.517]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "Moreover, thanks to its sparsifying characteristic, PRISM yields an lightweight model without extra pruning or quantization, making it ideal for environments such as edge devices.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.528, 0.501, 0.765, 0.517], [0.235, 0.515, 0.765, 0.53], [0.235, 0.529, 0.656, 0.544]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "Experiments on MNIST, FMNIST, CelebA, and CIFAR10 demonstrate that PRISM outperforms existing methods, while maintaining privacy with minimal communication costs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.656, 0.529, 0.765, 0.544], [0.235, 0.543, 0.765, 0.558], [0.235, 0.557, 0.765, 0.572]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "PRISM is the frst to successfully generate images under challenging non-IID and privacy-preserving FL environments on complex datasets, where previous methods have struggled.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.235, 0.571, 0.765, 0.586], [0.235, 0.584, 0.765, 0.6], [0.235, 0.598, 0.361, 0.613]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "Our code is available at PRISM.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 500000, "bbox": [[0.361, 0.598, 0.575, 0.613]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 0, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "1INTRODUCTION", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 600000, "bbox": [[0.177, 0.639, 0.337, 0.657]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 24, "edu_l1_label": "BOS"}, {"txt": "Recent generative models have demonstrated remarkable advancements in image quality and have been widely extended to various domains, including image-to-image translation (Choi et al., 2020;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.173, 0.672, 0.829, 0.811]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": " Saharia et al., 2022)], layout generation (Seol et al., 2024)], text-to-image generation (Rombach et al., 2022; Ramesh et al., 2022)], and video generation (Skorokhodov et al., 2022; Kim et al., 2024b)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.173, 0.672, 0.829, 0.811]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "Achieving high-quality generation with current generative models demands increasingly large datasets, leading to concerns that publicly available data will soon exhausted (Villalobos et al., 2024)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.173, 0.672, 0.829, 0.811]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "Leveraging the vast amount of data stored on edge devices becomes a potential solution, but this poses signifcant challenges: not only does the private nature of the data make centralized training impractical, but edge computing itself faces hurdles, including limited resources and prohibitive communication costs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.173, 0.672, 0.829, 0.811]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "Federated learning (FL) (McMahan et al., 2017)] is a promising paradigm tailored to this setup, enabling clients to collaboratively train a global model without sharing their local datasets with a third party.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.176, 0.818, 0.824, 0.833], [0.176, 0.832, 0.824, 0.847], [0.176, 0.845, 0.247, 0.86]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "However, high communication costs, performance degradation due to data heterogeneity, and the need to preserve privacy remain signifcant challenges in FL.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.247, 0.845, 0.824, 0.86], [0.176, 0.859, 0.632, 0.874]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "These challenges are further intensifed in the context of generative models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.632, 0.859, 0.824, 0.874], [0.176, 0.873, 0.487, 0.888]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "Unlike classifcation tasks, generative tasks lack a well-defned objective function and focus on learning the data sample distribution, making the inte-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.487, 0.873, 0.824, 0.888], [0.176, 0.887, 0.824, 0.902]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.194, 0.912, 0.355, 0.925]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 33, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.495, 0.949, 0.506, 0.961]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 34, "edu_l1_label": "EDU_O"}, {"txt": "gration of FL and generative models even more diffcult.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.176, 0.104, 0.55, 0.119]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "A few recent works have made efforts to train generative models over distributed clients (Hardy et al., 2019; Rasouli et al., 2020; Li et al., 2022; Zhang et al., 2021; Amalan et al., 2022)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.55, 0.104, 0.824, 0.119], [0.176, 0.118, 0.824, 0.133], [0.176, 0.132, 0.489, 0.147]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "These methods are generally built upon generative adversarial networks (GANs) (Goodfellow et al., 2020)], which have shown impressive results in the feld of image generation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.489, 0.132, 0.824, 0.147], [0.176, 0.146, 0.824, 0.161], [0.176, 0.16, 0.368, 0.175]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "DP-FedAvgGAN (Augenstein et al., 2019)], GS-WGAN (Chen et al., 2020)], and Private-FLGAN (Xin et al., 2020)] apply differential privacy (DP) (Dwork et al., 2006; Mironov, 2017)] to mitigate the potential privacy risk in FL setups.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.368, 0.16, 0.824, 0.175], [0.176, 0.174, 0.824, 0.189], [0.176, 0.187, 0.625, 0.202]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "However, existing works still face several challenges: 1) Previous approaches (Farnia & Ozdaglar, 2020a;b; Wang et al., 2022)] underperform, especially in non-IID (independent, identically distributed) data distribution scenarios with strong data heterogeneity across FL clients due to the notorious instability of GANs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.625, 0.187, 0.824, 0.202], [0.176, 0.201, 0.824, 0.216], [0.176, 0.215, 0.824, 0.23], [0.176, 0.229, 0.804, 0.244]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "2) Performance evaluations are limited to relatively simple datasets such as MNIST, Fashion MNIST, and EMNIST.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.804, 0.229, 0.824, 0.244], [0.176, 0.243, 0.824, 0.258], [0.176, 0.257, 0.269, 0.272]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "3) They suffer from signifcant communication overhead during model exchanges between the server and clients.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.269, 0.257, 0.824, 0.272], [0.176, 0.27, 0.376, 0.286]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "To overcome these challenges, we propose PRivacy-preserving Improved Stochastic-Masking for generative models (PRISM), a new strategy for training generative models in FL settings with the following key features:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.176, 0.292, 0.824, 0.307], [0.176, 0.306, 0.824, 0.321], [0.176, 0.319, 0.331, 0.335]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": " First, at the heart of PRISM is the strong lottery ticket (SLT) hypothesis (Frankle & Carbin, 2018)], suggesting the existence of a highly effective subnetwork within a randomly initialized network.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.331, 0.319, 0.824, 0.335], [0.176, 0.333, 0.824, 0.348], [0.176, 0.347, 0.37, 0.362]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "PRISM shifts the focus towards identifying an optimal global binary mask, rather than updating the weights directly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.37, 0.347, 0.824, 0.362], [0.176, 0.361, 0.494, 0.376]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "This approach enables each client to transfer the binary mask to the server instead of the full model, signifcantly reducing the overload in each communication round.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.494, 0.361, 0.824, 0.376], [0.176, 0.375, 0.824, 0.39], [0.176, 0.389, 0.296, 0.404]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "Moreover, when training is fnished, PRISM produces a lightweight fnal model, as each weight is already quantized, thanks to our initialization strategy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.296, 0.389, 0.824, 0.404], [0.176, 0.402, 0.638, 0.418]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "This feature provides significant advantages for resource-constrained edge devices.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.638, 0.402, 0.824, 0.418], [0.176, 0.416, 0.536, 0.431]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "Second, PRISM incorporates the maximum mean discrepancy (MMD) loss (Gretton et al., 2006; 2012)] during client-side updates, ensuring stable training for generative models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.536, 0.416, 0.824, 0.431], [0.176, 0.43, 0.824, 0.445], [0.176, 0.444, 0.424, 0.459]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "Third, a mask-aware dynamic moving average aggregation (MADA) is introduced to alleviate local model divergence.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.424, 0.444, 0.824, 0.459], [0.176, 0.458, 0.576, 0.473]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "This allows PRISM to maintain the previous global mask information and alleviate client drift under non-IID and DP-guaranteeing scenarios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.576, 0.458, 0.824, 0.473], [0.176, 0.472, 0.824, 0.487], [0.176, 0.485, 0.22, 0.501]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "By automatically adjusting the moving average parameter based on mask correlations, this approach requires neither a regularization term nor hyperparameter tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.22, 0.485, 0.824, 0.501], [0.176, 0.499, 0.67, 0.514]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "Finally, PRISM offers a hybrid strategy that can fexibly trade-off between image quality and communication cost.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.67, 0.499, 0.824, 0.514], [0.176, 0.513, 0.78, 0.528]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "Taken together, these features enable PRISM to consistently deliver robust performance in challenging non-IID and DP-guaranteeing FL settings, while maintaining minimal communication overhead.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.78, 0.513, 0.824, 0.528], [0.176, 0.527, 0.824, 0.542], [0.176, 0.541, 0.805, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "Our experimental results reveal that PRISM sets a new standard in generative model performance, signifcantly outperforming GAN-based methods in both IID and non-IID scenarios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.176, 0.562, 0.824, 0.577], [0.176, 0.576, 0.746, 0.591]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "It acheives state-of-the-art image generation on complex datasets such as CelebA and CIFAR10, whereas previous methods were limited to simpler datasets like MNIST and FMNIST.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.746, 0.576, 0.824, 0.591], [0.176, 0.59, 0.824, 0.605], [0.176, 0.604, 0.658, 0.619]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "This highlights PRISM’spotential for scalable and resource-effcient generative model learning in distributed environments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.658, 0.604, 0.824, 0.619], [0.176, 0.618, 0.824, 0.633]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "Overall, our main contributions can be summarized as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.176, 0.631, 0.586, 0.647]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "• We propose PRISM, an effective FL framework that achieves state-of-the-art performanceon various benchmark datasets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.221, 0.664, 0.824, 0.679], [0.235, 0.678, 0.443, 0.693]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "It is the frst method to successfully generate images on complex datasets such as CelebA in FL scenarios that involves data heterogeneity and privacy preservation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.443, 0.678, 0.824, 0.693], [0.235, 0.692, 0.824, 0.707], [0.235, 0.705, 0.371, 0.721]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "• PRISM offers an effcient solution for federated generative models with minimal com-munication overhead by incorporating SLT with a stochastic binary mask.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.221, 0.736, 0.824, 0.752], [0.235, 0.75, 0.725, 0.765]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "Even more, in conjunction with the weight initialization strategy, the fnal model acquired from PRISM becomes signifcantly lightweight, reducing to less than half the size of the initial model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.725, 0.75, 0.824, 0.765], [0.235, 0.764, 0.824, 0.779], [0.235, 0.778, 0.812, 0.793]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "• We further enhance the stability of federated learning for generative models by introducingMMD loss and a mask-aware dynamic moving average aggregation method (MADA).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.221, 0.809, 0.824, 0.824], [0.235, 0.823, 0.796, 0.838]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "To the best of our knowledge, this is the frst work to address the challenges in communication effciency, privacy, stability, and generation performance altogether for federated generative models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.176, 0.855, 0.824, 0.871], [0.176, 0.869, 0.824, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "We provide new directions to this area based on several unique characteristics, including SLT with stochastic binary mask, MMD loss, mask-aware dynamic moving average aggregation strategy, and hybrid score/mask communications.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.176, 0.883, 0.824, 0.898], [0.176, 0.897, 0.824, 0.912], [0.176, 0.911, 0.412, 0.926]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.494, 0.95, 0.507, 0.96]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 65, "edu_l1_label": "EDU_O"}, {"txt": "2RELATED WORK", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.177, 0.102, 0.345, 0.119]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 5, "global_sentence_id": 66, "edu_l1_label": "BOS"}, {"txt": "Federated learning for classifcation models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.176, 0.131, 0.486, 0.148]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "FL has achieved a signifcant success in training a global model in a distributed setup, eliminating the necessity of sharing individual client’s localdatasets with either the server or other clients.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.486, 0.131, 0.824, 0.147], [0.176, 0.146, 0.824, 0.161], [0.176, 0.16, 0.481, 0.175]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "Research has been conducted on various aspects of FL, such as data heterogeneity (Zhao et al., 2018; Li et al., 2021b)], communication effciency (Isik et al., 2022; Li et al., 2021a; Mitchell et al., 2022; Basat et al., 2022)], privacy (Wei et al., 2020)], with most focusing on image classifcation tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.481, 0.16, 0.824, 0.175], [0.176, 0.173, 0.824, 0.189], [0.176, 0.187, 0.824, 0.202], [0.176, 0.201, 0.492, 0.216]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "Related to our approach, FedPM (Isik et al., 2022)] and FedMask (Li et al., 2021a)] adopted binary mask communication to reduce the communication costs in FL in classifcation tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.492, 0.201, 0.824, 0.216], [0.176, 0.215, 0.824, 0.23], [0.176, 0.229, 0.406, 0.244]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "FedMask (Li et al., 2021a)] introduces binary mask communication, focusing on communication effciency and personalization in decentralized environments, while FedPM (Isik et al., 2022)] utilizes stochastic masks to minimize uplink overhead and proposes a bayesian aggregation method to robustly manage scenarios with partial client participation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.406, 0.229, 0.824, 0.244], [0.176, 0.243, 0.824, 0.258], [0.176, 0.256, 0.824, 0.272], [0.176, 0.27, 0.78, 0.285]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "While the concept of incorporating SLT into FL paradigm has been studied in FedMask (Li et al., 2021a)] and FedPM (Isik et al., 2022)] for classifcation tasks, PRISM stands as an independent strategy tailored for the training of generative models across distributed clients: PRISM incorporates MMD loss for more robust performance compared to GAN-based approaches and introduces MADA to maintain a stable image generation performance in heterogeneous and DP-guaranteeing FL settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.78, 0.27, 0.824, 0.285], [0.176, 0.284, 0.824, 0.299], [0.176, 0.298, 0.824, 0.313], [0.176, 0.312, 0.824, 0.327], [0.176, 0.326, 0.824, 0.341], [0.176, 0.339, 0.824, 0.355]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "potential benefts in various federated settings (See Appendix P).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.176, 0.384, 0.603, 0.399]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "Several recent works have aimed to incorporate generative models into distributed settings (Hardy et al., 2019; Amalan et al., 2022; Li et al., 2022; Zhang et al., 2021; Rasouli et al., 2020; Augenstein et al., 2019; Chen et al., 2020; Xin et al., 2020)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.603, 0.384, 0.824, 0.399], [0.176, 0.398, 0.824, 0.413], [0.176, 0.412, 0.824, 0.427], [0.176, 0.426, 0.263, 0.441]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "MD-GAN (Hardy et al., 2019)] was the frst attempt to apply generative models in the FL framework using GANs (Goodfellow et al., 2020)], extensively studied in image generation tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.263, 0.426, 0.824, 0.441], [0.176, 0.439, 0.824, 0.455]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "In MD-GAN, each client holds a discriminator, and the server aggregates the discriminator feedback from each client to train the global generator.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.176, 0.453, 0.824, 0.468], [0.176, 0.467, 0.474, 0.482]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "To prevent overftting of local discriminators, clients exchange discriminators, incurring additional communication costs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.474, 0.467, 0.824, 0.482], [0.176, 0.481, 0.621, 0.496]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "Multi-FLGAN (Amalan et al., 2022)] proposed all vs. all game approach by employing multiple generators and multiple discriminators and then selecting the most powerful network to enhance model performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.621, 0.481, 0.824, 0.496], [0.176, 0.495, 0.824, 0.51], [0.176, 0.509, 0.73, 0.524]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "IFL-GAN (Li et al., 2022)] improves both performance and stability by weighting each client’s feedback based onthe MMD between the images generated by the global model and the local generator.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.73, 0.509, 0.824, 0.524], [0.176, 0.522, 0.824, 0.538], [0.176, 0.536, 0.727, 0.551]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "This approach maintains a balance between the generator and the discriminator, leading to Nash Equilibrium.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.727, 0.536, 0.824, 0.551], [0.176, 0.55, 0.783, 0.565]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "Other works such as (Zhang et al., 2021; Rasouli et al., 2020)] have also explored the utilization of GANs in FL.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.783, 0.55, 0.824, 0.565], [0.176, 0.564, 0.824, 0.579], [0.176, 0.578, 0.216, 0.593]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "However, these works do not consider the challenge of privacy preservation in the context of FL and also suffer from resource issues during training and inference.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.216, 0.578, 0.824, 0.593], [0.176, 0.592, 0.63, 0.607]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "Federated learning for generative models with privacy consideration.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.176, 0.613, 0.663, 0.629]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "Only a few prior works have focused on the privacy preservation in federated generative models (Augenstein et al., 2019; Chen et al., 2020)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.663, 0.613, 0.824, 0.628], [0.176, 0.627, 0.824, 0.642], [0.176, 0.641, 0.307, 0.656]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "DP-FedAvgGAN (Augenstein et al., 2019)] introduces to combine federated generative models and differential privacy (DP) (Dwork et al., 2006; Mironov, 2017)] to ensure privacy preservation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.307, 0.641, 0.824, 0.656], [0.176, 0.655, 0.824, 0.67], [0.176, 0.668, 0.294, 0.684]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "GS-WGAN (Chen et al., 2020)] adopts Wasserstein GAN (Gulrajani et al., 2017)] to bypass the cumbersome searching for an appropriate DP-value, leveraging the Lipschitz property.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.294, 0.668, 0.824, 0.684], [0.176, 0.682, 0.824, 0.697]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "While these approaches have successfully integrated FL and generative models, they inherit drawbacks such as the notorious instability of GANs (Farnia & Ozdaglar, 2020a;b; Wang et al., 2022)] and signifcant performance drop under data heterogeneity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.176, 0.696, 0.824, 0.711], [0.176, 0.71, 0.824, 0.725], [0.176, 0.724, 0.559, 0.739]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "Moreover, all existing approaches suffer from huge communication and storage costs during and after training, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.559, 0.724, 0.824, 0.739], [0.176, 0.738, 0.716, 0.753]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "3BACKGROUND", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.177, 0.77, 0.327, 0.788]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 89, "edu_l1_label": "BOS"}, {"txt": "3.1STRONG LOTTERY TICKETS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.177, 0.8, 0.404, 0.815]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "Strong Lottery Ticket (SLT) hypothesis (Frankle & Carbin, 2018;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.176, 0.827, 0.601, 0.842]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": " Malach et al., 2020; Orseau et al., 2020)] suggest the existence of a sparse subnetwork within an initially random network that achieves a superior performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.601, 0.827, 0.824, 0.842], [0.176, 0.841, 0.824, 0.856], [0.176, 0.855, 0.334, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "Edge-Popup (EP) algorithm (Ramanujan et al., 2020)] is one of the most popular methods to discover SLT within the dense network, which introduces a scoring mechanism to select potentially important weights among the widespread initialized weight values.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.334, 0.855, 0.824, 0.87], [0.176, 0.868, 0.824, 0.884], [0.176, 0.882, 0.737, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "More specifically, given a randomly initialized dense network Winit, a learnable score s is trained while keeping the weight values frozen.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.737, 0.882, 0.824, 0.897], [0.176, 0.896, 0.824, 0.911], [0.176, 0.91, 0.338, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "These scores are designed to encapsulate the importance of each weight for", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.338, 0.91, 0.824, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.494, 0.95, 0.506, 0.96]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 96, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.171, 0.072, 0.832, 0.274]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 97, "edu_l1_label": "EDU_O"}, {"txt": "Figure 1: Overview of PRISM. PRISM fnds the supermask for generative models in a FL scenario. At every round t, each client k updates a local score skt via MMD loss (Step 1) and generates the privacy-preserving binary mask M tk (Step 2-1), which is sent to the server. The server aggregates the masks to obtain the global probability θt+1 (Step 3), which is converted to a score st+1 and broad-casted to the clients for the next round (Step 4). The global probability θt+1 is gradually updatedbased on mask correlation λ between M tg and M tg−1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.173, 0.282, 0.829, 0.371]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 0, "global_sentence_id": 98, "edu_l1_label": "EDU_O"}, {"txt": "the objective function.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.176, 0.393, 0.322, 0.408]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "As the scores get iteratively updated, the EP algorithm progressively shrinks the model by applying binary masks to weights with higher scores, indicating their potentials to be included in the winning lottery ticket.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.322, 0.393, 0.824, 0.408], [0.176, 0.407, 0.824, 0.422], [0.176, 0.421, 0.429, 0.436]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "The obtained SLT can be expressed as W = Winit ⊙M,where M is the obtained binary mask and ⊙denotes element-wise multiplication.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.429, 0.421, 0.824, 0.436], [0.176, 0.435, 0.727, 0.45]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "SLT has beenprimarily explored within the context of classifcation tasks, while Yeo et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.727, 0.435, 0.824, 0.45], [0.176, 0.448, 0.669, 0.463]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "(Yeo et al., 2023)] have recently shown that SLT can also be found in generative models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.669, 0.448, 0.824, 0.464], [0.176, 0.462, 0.597, 0.477]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "3.2DIFFERENTIAL PRIVACY", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.177, 0.5, 0.383, 0.515]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "Sharing each client’s model or gradient can potentially lead to a privacy risk.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.176, 0.529, 0.68, 0.544]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "(ϵ, δ)-differential pri-vacy (DP) (Dwork et al., 2006)], (α, ϵ)-Re´nyi-Differential privacy (RDP) (Mironov, 2017)] are com-monly employed when tackling the privacy concerns in FL.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.68, 0.529, 0.824, 0.544], [0.176, 0.543, 0.824, 0.558], [0.176, 0.556, 0.564, 0.572]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "Defnition 1 ((ϵ, δ)-Differential Privacy (Dwork et al., 2006)]) A randomized mechanism M :", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.176, 0.585, 0.824, 0.601]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": "X →R is (ϵ, δ)-differential privacy, if for any two adjacent datasets D, D′ and for any measurablesets S: Pr[M(D) ∈S] ≤eϵPr[M(D′) ∈S] + δ.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.176, 0.601, 0.824, 0.615], [0.176, 0.613, 0.511, 0.628]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "The above defnition is designed to limit the impact of individual data points by introducing randomness into M. The Gaussian mechanism (Mironov et al., 2019)] offers differential privacy guarantees ϵ222and ∆22 is L2 sensitivity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.176, 0.643, 0.824, 0.658], [0.176, 0.657, 0.824, 0.672], [0.598, 0.684, 0.609, 0.69], [0.639, 0.672, 0.81, 0.69]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "4METHOD", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.177, 0.712, 0.282, 0.729]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 8, "global_sentence_id": 110, "edu_l1_label": "BOS"}, {"txt": "We consider a FL setup with K clients, where each client k has its own local dataset Dk.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.176, 0.744, 0.767, 0.76]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "Starting from a randomly initialized model Winit, the clients aim to collaboratKively okbtain a global generative", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.767, 0.744, 0.824, 0.76], [0.176, 0.758, 0.824, 0.773]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": "Overview of our approach.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.176, 0.8, 0.366, 0.816]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "Figure 1 shows the overview of our PRISM.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.366, 0.8, 0.667, 0.815]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "PRISM fnds a subnetwork with strong generative performance from the randomly initialized generative model Winit.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.667, 0.8, 0.824, 0.815], [0.176, 0.814, 0.824, 0.829]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "Rather than updating Winit, its focus is to fnd an optimal binary mask M ∗that has either 1 or 0in its element and construct the fnal global model as W ∗= Winit ⊙M ∗.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.176, 0.828, 0.824, 0.843], [0.176, 0.842, 0.679, 0.857]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "At a high-level, eachclient k generates a binary mask M tk based on its local dataset at every communication round t, which is aggregated at the server.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.679, 0.842, 0.824, 0.857], [0.176, 0.855, 0.824, 0.871], [0.176, 0.869, 0.397, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "After repeating the process for multiple rounds t = 1, 2, .", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.397, 0.869, 0.783, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": ".", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.783, 0.869, 0.79, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": ".", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.79, 0.869, 0.798, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": ", T, PRISM produces the fnal supermask M ∗= MT .", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.798, 0.869, 0.824, 0.884], [0.176, 0.883, 0.508, 0.898]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "Our approach, which aims to fnd the SLT in afederated generative model setting, is fundamentally different from existing FedGAN methods.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.508, 0.883, 0.824, 0.898], [0.176, 0.897, 0.805, 0.912]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "In the following, we describe the detailed training procedure of PRISM along with its advantages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.805, 0.897, 0.824, 0.912], [0.176, 0.911, 0.796, 0.926]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.495, 0.949, 0.507, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 124, "edu_l1_label": "EDU_O"}, {"txt": "4.1PRISM :", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.177, 0.104, 0.277, 0.119]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": " PRIVACY-PRESERVING IMPROVED STOCHASTIC MASKING", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.277, 0.104, 0.682, 0.119]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": "Local score updates with MMD loss.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.176, 0.127, 0.438, 0.144]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "Before training starts, the server randomly initializes the model Winit and broadcasts it to all clients, which remains fxed throughout the training process.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.438, 0.127, 0.824, 0.143], [0.176, 0.141, 0.803, 0.157]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "At the start of each round t, all clients download the score vector st from the server, representing the importance of each parameter in Winit.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.803, 0.141, 0.824, 0.157], [0.176, 0.155, 0.824, 0.17], [0.176, 0.169, 0.433, 0.184]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "Intuitively, if the score value of a specifc parameter is high, the corresponding weight is more likely to be included in the fnal SLT.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.433, 0.169, 0.824, 0.184], [0.176, 0.183, 0.648, 0.198]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "PRISM allows each client k to update the score vector st based on its local dataset to obtain skt , which is used to generate the local mask.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.648, 0.183, 0.824, 0.198], [0.176, 0.199, 0.824, 0.212], [0.176, 0.211, 0.251, 0.226]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "In this local score update procedure, we leverage maximum mean discrepancy (MMD) loss (Gretton et al., 2006; 2012)], providing stable convergence for training generative models (Li et al., 2017a;b; Bin´kowski et al., 2018; Santos et al., 2019; Ramanujan et al., 2020; Yeo et al., 2023)].The MMD loss measures the distance between two distributions by comparing their respective mean embeddings in a reproducing kernel hilbert space (RKHS) (Gretton et al., 2006; 2012)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.251, 0.211, 0.824, 0.226], [0.176, 0.224, 0.824, 0.24], [0.176, 0.238, 0.824, 0.253], [0.176, 0.252, 0.824, 0.267], [0.176, 0.266, 0.746, 0.281]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "As in (Santos et al., 2019; Ramanujan et al., 2020)], we take VGGNet pretrained on ImageNet as a powerful image set D fkake = {yik }Mi=1 produced by its own gener aDtor, th e{ loic }ail= o1b jective function at each client k is written as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.746, 0.266, 0.824, 0.281], [0.176, 0.28, 0.824, 0.295], [0.176, 0.309, 0.258, 0.333], [0.258, 0.317, 0.824, 0.324], [0.176, 0.324, 0.365, 0.339]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "IIP", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.757, 0.352, 0.773, 0.358]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": "where ψ(·) is a function that maps each sample to the VGG embedding space.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.173, 0.384, 0.829, 0.455]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": "Each clie nt aims tomatch the mean and covariance between real and fake samples after mapping them to the VGG embedding space using kernel ψ(·).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.173, 0.384, 0.829, 0.455]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "Based on Eq.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.173, 0.384, 0.829, 0.455]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "1, each client locally updates the scores to minimizethe MMD loss according to skt = st −η∇LkMMD.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.173, 0.384, 0.829, 0.455]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "Here, we note that the VGG network is utilizedonly for computing the MMD loss and is discarded when training is fnished.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.173, 0.384, 0.829, 0.455]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 139, "edu_l1_label": "IOS"}, {"txt": "Binary mask generation and aggregation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.176, 0.465, 0.474, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 140, "edu_l1_label": "IOS"}, {"txt": "After the local score update process, each client k maps the score skt to a probability value θtk ∈[0, 1] as θtk = Sigmoid(skt ), where Sigmoid(·) isthe sigmoid function.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.474, 0.465, 0.823, 0.48], [0.176, 0.479, 0.824, 0.494], [0.176, 0.493, 0.318, 0.508]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "The obtained θtk is then used as the parameter of the Bernoulli distributionto generate the stochastic binary mask M tk , according to M tk ∼Bern(θtk ).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.318, 0.493, 0.824, 0.508], [0.176, 0.506, 0.676, 0.522]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "Each client k uploadsonly this binary mask M tk to the server, signifcantly reducing the communication overhead.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.676, 0.506, 0.824, 0.522], [0.176, 0.52, 0.801, 0.535]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "At the server sidKe, the received masks are aggregated to estimate the global Bernoulli parameter as θt+1 =K1of the overall client’s weights.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.801, 0.52, 0.824, 0.535], [0.176, 0.534, 0.824, 0.549], [0.176, 0.553, 0.241, 0.559], [0.176, 0.564, 0.372, 0.579]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "θt+1 is then converted to the score through the inverse of the sigmoidfunction according to st+1 = Sigmoid−1(θt+1), which is broadcasted to the clients at the beginningof the next round.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.372, 0.564, 0.824, 0.579], [0.176, 0.578, 0.824, 0.593], [0.176, 0.592, 0.292, 0.607]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "We provide the training details in Appendix C.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.292, 0.592, 0.6, 0.607]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "Model initialization for storage effciency.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.176, 0.618, 0.467, 0.634]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "When training is fnished after T rounds of FL, θT isobtained at the server.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.467, 0.618, 0.824, 0.633], [0.176, 0.632, 0.32, 0.647]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 148, "edu_l1_label": "IOS"}, {"txt": "The supermask is then generated following M ∗∼Bern(θT ), which is usedto obtain the fnal global model as W ∗= Winit⊙M ∗.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.32, 0.632, 0.824, 0.647], [0.176, 0.646, 0.528, 0.661]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": "This fnal model W ∗can be stored effcientlyeven in resource-constrained edge devices, thanks to the model initialization strategy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.528, 0.646, 0.824, 0.661], [0.176, 0.66, 0.733, 0.675]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "When initializing Winit in PRISM, we employ the standard deviation of Kaiming Normal distribution (He et al., 2015)], where the weight value in layer l is sampled from the set σl ∼{−2/nl−1,2/nl−1}.Hence, by storing the scaling factorp2/nnl−1, each parameter in the initial mpodel Winipt is alreadyquantized to a 1-bit value (See Appendix E).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.733, 0.66, 0.824, 0.675], [0.176, 0.674, 0.824, 0.689], [0.176, 0.689, 0.824, 0.704], [0.176, 0.706, 0.824, 0.721], [0.176, 0.719, 0.47, 0.735]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "This makes the fnal model exceptionally lightweight without extra pruning of quantization, which will be also showed via comparison in Section 5.5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.47, 0.719, 0.824, 0.735], [0.176, 0.733, 0.802, 0.748]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "4.2PRIVACY", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.177, 0.764, 0.277, 0.778]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "To consider the situation of potential privacy treats, we incorporate (ϵ, δ)-differential privacy(DP) (Dwork et al., 2006)] into our framework.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.176, 0.787, 0.824, 0.802], [0.176, 0.801, 0.5, 0.816]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "We provide a more detailed description related to the privacy preservation of PRISM and a specifc scenario where PRISM can achieve additional privacy benefts in Appendix A and Appendix B, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.5, 0.801, 0.824, 0.816], [0.176, 0.815, 0.824, 0.83], [0.176, 0.829, 0.58, 0.844]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "4.3MASK-AWARE DYNAMIC MOVING AVERAGE AGGREGATION", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.177, 0.859, 0.626, 0.873]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 8, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "Data heterogeneity and privacy preservation pose signifcant challenges in accurately estimating the correct update direction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.176, 0.882, 0.824, 0.897], [0.176, 0.896, 0.336, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "Both the previous and current global models contain valuable information about whether the local models are diverging Praneeth Karimireddy et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.336, 0.896, 0.824, 0.911], [0.176, 0.91, 0.661, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "(2019); Li et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.661, 0.91, 0.771, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "(2020);", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.771, 0.91, 0.824, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.494, 0.949, 0.507, 0.961]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 161, "edu_l1_label": "EDU_O"}, {"txt": "Mendieta et al.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.176, 0.104, 0.275, 0.119]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "(2022).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.275, 0.104, 0.327, 0.119]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "To address this, we propose a mask-aware dynamic moving average aggregation (MADA) that leverages information from previous aggregation rounds in a mask-aware manner.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.327, 0.104, 0.824, 0.119], [0.176, 0.118, 0.824, 0.133], [0.176, 0.132, 0.2, 0.147]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 164, "edu_l1_label": "IOS"}, {"txt": "To the best of our knowledge, MADA is proposed for the frst time, introducing the mask-aware similarity to determine the moving average ratio on the server side.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.2, 0.132, 0.824, 0.147], [0.176, 0.146, 0.611, 0.161]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": "Specifcally, when a client mask M tk deviates signifcantly from the global model, the newgly updated global mask M tg will also differ dominant clients.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.611, 0.146, 0.824, 0.161], [0.176, 0.162, 0.824, 0.175], [0.176, 0.187, 0.288, 0.202]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 166, "edu_l1_label": "IOS"}, {"txt": "To mitigate this bias, the server calcula−tes the mask correlation λ, which measuresserver then interpolates between the two global masks using λ to adjust how− much of the currentmask should be incorporated.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.288, 0.187, 0.824, 0.202], [0.176, 0.215, 0.824, 0.23], [0.176, 0.229, 0.371, 0.244]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": "While various metrics can be used to compute the distance between masks, we employ the Hamming distance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.371, 0.229, 0.824, 0.244], [0.176, 0.243, 0.457, 0.258]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "We observe that using alternative distance metrics like cosine similarity yields similar performance (See Appendix L).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.457, 0.243, 0.824, 0.258], [0.176, 0.257, 0.587, 0.272]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "The server-side aggregation process is defned as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.587, 0.257, 0.824, 0.272], [0.176, 0.27, 0.314, 0.286]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "\\theta _ { t + 1 } = ( 1 - \\lambda ) \\theta _ { t - 1 } + \\lambda \\frac { 1 } { K } \\sum _ { k = 1 } ^ { K } M _ { t } ^ { k } , \\quad \\lambda : = d i s t ( M _ { t - 1 } ^ { g } , M _ { t } ^ { g } ) ,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.285, 0.288, 0.711, 0.33]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "(2)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.805, 0.304, 0.824, 0.319]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 13, "global_sentence_id": 172, "edu_l1_label": "IOS"}, {"txt": "This prevents excessive deviation by interpolating the aggregated mask with the previous Bernoulli parameter.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.176, 0.339, 0.824, 0.355], [0.176, 0.353, 0.245, 0.368]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": "As the global rounds progress, λ gradually decreases, promoting stable convergence.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.245, 0.353, 0.8, 0.368]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": "4.4TRADING-OFF BETWEEN PERFORMANCE AND COMMUNICATION COST", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.177, 0.382, 0.696, 0.396]]}]}, "tags": ["text"], "label": "title2", "web_segment_id": 12, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": "While PRISM optimizes for minimal communication overhead and delivers satisfactory performance, it may not always meet the demand for higher-quality image generation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.176, 0.404, 0.824, 0.419], [0.176, 0.418, 0.714, 0.433]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 176, "edu_l1_label": "IOS"}, {"txt": "To address this, we introduces a fexible solution, PRISM∗(See Appendix F).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.714, 0.418, 0.824, 0.433], [0.176, 0.432, 0.576, 0.447]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": "5EXPERIMENTS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.177, 0.459, 0.327, 0.477]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 178, "edu_l1_label": "BOS"}, {"txt": "In this section, we validate the effectiveness of PRISM on MNIST, FMNIST, CelebA, and CIFAR10 datasets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.176, 0.485, 0.824, 0.5], [0.176, 0.499, 0.232, 0.514]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "The training set of each dataset is distributed across 10 clients following either IID or non-IID data distributions1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.232, 0.499, 0.824, 0.514], [0.176, 0.512, 0.355, 0.528]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "We provide the detailed partitioning strategies for IID and non-IID simulation in Appendix D. In addition, for a fair comparison, we set (9.8, 10−5)-DP for all methods.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.355, 0.512, 0.824, 0.528], [0.176, 0.526, 0.807, 0.541]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "Baselines.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.176, 0.551, 0.245, 0.568]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "We compare our method with several previous approaches for federated generative models under both privacy-preserving (with DP) and privacy-free (without DP) scenarios: In the privacypreserving scenario, we consider DP-FedAvgGAN (Augenstein et al., 2019)] and GS-WGAN (Chen et al., 2020)] while in the privacy-free case, we adopt MD-GAN (Hardy et al., 2019)] and MultiFLGAN (Amalan et al., 2022)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.245, 0.551, 0.824, 0.567], [0.176, 0.566, 0.824, 0.581], [0.176, 0.579, 0.824, 0.595], [0.176, 0.593, 0.824, 0.608], [0.176, 0.607, 0.383, 0.622]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": "In the case of Multi-FLGAN, the number of sync servers increases the communication cost quadratically, so we consider a 2×2 multi generator and discriminator setup.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.176, 0.628, 0.824, 0.644], [0.176, 0.642, 0.626, 0.657]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": "Performance metrics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.176, 0.667, 0.325, 0.684]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "We evaluate the generative performance of each scheme using the commonly adopted metrics, including Fre´chet Inception Distance (FID) (Heusel et al., 2017)], Precision & Re-call (Kynka¨a¨nniemi et al., 2019)], Density & Coverage (Naeem et al., 2020)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.325, 0.667, 0.824, 0.683], [0.176, 0.681, 0.824, 0.697], [0.176, 0.695, 0.693, 0.71]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "We further demon-strate the effciency of PRISM by comparing the uplink cost (MB) (See Appendix G) at each FL round, the storage (MB) for the fnal models, and FLOPS (See Appendix J).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.693, 0.695, 0.824, 0.71], [0.176, 0.709, 0.824, 0.724], [0.176, 0.723, 0.671, 0.738]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": "5.1IID CASE", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.177, 0.751, 0.281, 0.766]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 10, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": "In this subsection, we examine an IID scenario where the training set of each dataset is uniformly distributed among clients.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.176, 0.774, 0.824, 0.789], [0.176, 0.788, 0.343, 0.803]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "We compare various evaluation metrics under (ϵ, δ)-DP guaranteed setting(Table 1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.343, 0.788, 0.824, 0.803], [0.176, 0.802, 0.239, 0.817]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": "Notably, PRISM outperforms current GAN-based models by a large margin.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.239, 0.802, 0.74, 0.817]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "Figure 2 reveals that existing privacy-preserving methods often produce distorted images, particularly evident in CelebA, while our method tends to generate high-quality results.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.176, 0.823, 0.824, 0.838], [0.176, 0.837, 0.704, 0.852]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "The above results support that PRISM can effectively fnd a SLT, achieving performance gains despite charging 48% less communication costs per round.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.704, 0.837, 0.824, 0.852], [0.176, 0.851, 0.824, 0.866], [0.176, 0.865, 0.411, 0.88]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": "It is worth noting that PRISM can further reduce the cost by applying extra techniques such as universal coding.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.411, 0.865, 0.824, 0.88], [0.176, 0.878, 0.493, 0.894]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "Additionally, when comparing PRISM to PRISM†(MADA removed), PRISM demonstrates a signifcant improvement in overall performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.493, 0.878, 0.823, 0.894], [0.176, 0.892, 0.773, 0.907]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "1See Appendix H for additional results where a large number of clients and partial of clients participate.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.197, 0.91, 0.806, 0.925]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 196, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.495, 0.95, 0.506, 0.96]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 197, "edu_l1_label": "EDU_O"}, {"txt": "Table 1:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.176, 0.077, 0.23, 0.092]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 198, "edu_l1_label": "EDU_O"}, {"txt": " Quantitative comparison in IID scenario with a privacy budget (ϵ, δ) = (9.8, 10−5).We compare FID, P&R, D&C, communication cost, and storage.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.23, 0.077, 0.824, 0.093], [0.176, 0.091, 0.594, 0.106]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 199, "edu_l1_label": "EDU_O"}, {"txt": "Communication cost is the number of bytes exchanged between clients and server.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.594, 0.091, 0.824, 0.106], [0.176, 0.105, 0.481, 0.12]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 200, "edu_l1_label": "EDU_O"}, {"txt": "† indicates that MADA is removed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.481, 0.105, 0.716, 0.12]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 201, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.202, 0.131, 0.795, 0.335]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 202, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.167, 0.344, 0.82, 0.725]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 3, "global_sentence_id": 203, "edu_l1_label": "EDU_O"}, {"txt": "Figure 2: Qualitative results in IID scenario with a privacy budget (ϵ, δ) = (9.8, 10−5). Wecompare generated images from the models in Table 1 on MNIST, FMNIST, and CelebA. † indicatesthat MADA is removed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.173, 0.732, 0.827, 0.775]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 204, "edu_l1_label": "EDU_O"}, {"txt": "5.2NON-IID CASE", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.177, 0.782, 0.32, 0.797]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "We investigate a more practical yet challenging non-IID scenario, where clients exhibit diverse local data distributions, posing a signifcant challenge to train generative models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.176, 0.804, 0.824, 0.82], [0.176, 0.818, 0.665, 0.833]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "To establish such an environment, we split the entire trainset based on shards-partitioning strategy2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.665, 0.818, 0.824, 0.833], [0.176, 0.832, 0.666, 0.847]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "Table 2 presents a quantitative comparison of baselines and our methods when DP is guaranteed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.666, 0.832, 0.824, 0.847], [0.176, 0.846, 0.66, 0.861]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "We observe that PRISM achieves SOTA performance under the non-IID scenario, even with complex CelebA datasets3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.66, 0.846, 0.824, 0.861], [0.176, 0.86, 0.792, 0.875]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": "Fig-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.792, 0.86, 0.824, 0.875]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 210, "edu_l1_label": "IOS"}, {"txt": "2We also provide the results of Dirichlet-partitioned Non-IID in Appendix D. 3Since existing works on the feld of federated generative models struggles with MNIST-level generation, we refer CelebA and CIFAR10 as complex dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.197, 0.883, 0.649, 0.898], [0.197, 0.897, 0.824, 0.912], [0.176, 0.911, 0.476, 0.925]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 211, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.495, 0.95, 0.506, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 212, "edu_l1_label": "EDU_O"}, {"txt": "Table 2:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.176, 0.077, 0.23, 0.092]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 5, "global_sentence_id": 213, "edu_l1_label": "EDU_O"}, {"txt": " Quantitative comparison in non-IID scenario with (ϵ, δ) = (9.8, 10−5).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.23, 0.077, 0.735, 0.093]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 5, "global_sentence_id": 214, "edu_l1_label": "EDU_O"}, {"txt": "We compareFID, P&R, D&C, communication cost, and storage.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.735, 0.077, 0.824, 0.092], [0.176, 0.091, 0.521, 0.106]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 5, "global_sentence_id": 215, "edu_l1_label": "EDU_O"}, {"txt": "Communication cost refers to the number of bytes exchanged between clients and server.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.521, 0.091, 0.824, 0.106], [0.176, 0.105, 0.463, 0.12]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 5, "global_sentence_id": 216, "edu_l1_label": "EDU_O"}, {"txt": "† indicates that MADA is removed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.463, 0.105, 0.698, 0.12]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 5, "global_sentence_id": 217, "edu_l1_label": "EDU_O"}, {"txt": "MINTST", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.188, 0.38, 0.198, 0.421]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 6, "global_sentence_id": 218, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.198, 0.135, 0.806, 0.711]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 219, "edu_l1_label": "EDU_O"}, {"txt": "Figure 3: Qualitative results in Non-IID scenario with a privacy budget (ϵ, δ) = (9.8, 10−5). Wecompare generated images from the models in Table 2 on MNIST, FMNIST, and CelebA. † indicatesthat MADA is removed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.175, 0.718, 0.827, 0.761]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 0, "global_sentence_id": 220, "edu_l1_label": "EDU_O"}, {"txt": "ure 3 illustrates that despite the heterogeneity of the data, our methods successfully generate high quality images, while traditional methods exhibit subpar quality. Additionally, Figure 4 shows the overview of FID scores, fnal model parameters, and communication costs for each method.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.174, 0.762, 0.827, 0.808]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 4, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "5.3 PERFORMANCE WITHOUT DIFFERENTIAL PRIVACY", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.177, 0.819, 0.199, 0.835], [0.216, 0.819, 0.562, 0.834]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 3, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "We further explore the performance of PRISM without applying differential privacy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.176, 0.841, 0.738, 0.856]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": "Quantitative and qualitative comparisons with MD-GAN (Hardy et al., 2019)] and Multi-FLGAN (Amalan et al., 2022)], the current state-of-the-art under this condition, are shown in Table 3 and Figure 5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.738, 0.841, 0.824, 0.856], [0.176, 0.855, 0.824, 0.87], [0.176, 0.868, 0.77, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": "PRISM not only matches but also occasionally surpasses the performance of MD-GAN and Multi-FLGAN, all while signifcantly reducing communication overhead.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.77, 0.868, 0.824, 0.884], [0.176, 0.882, 0.824, 0.897], [0.176, 0.896, 0.554, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 225, "edu_l1_label": "IOS"}, {"txt": "Again, the fact that PRISM outperforms PRISM† clearly demonstrates the effectiveness of MADA.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.554, 0.896, 0.824, 0.911], [0.176, 0.91, 0.553, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 226, "edu_l1_label": "IOS"}, {"txt": "Here, Multi-FLGAN takes 10 times more", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.553, 0.91, 0.824, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.495, 0.95, 0.506, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 228, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.172, 0.073, 0.496, 0.219]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 4, "global_sentence_id": 229, "edu_l1_label": "EDU_O"}, {"txt": "(a) IID case", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.328, 0.223, 0.398, 0.237]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 8, "global_sentence_id": 230, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.509, 0.075, 0.824, 0.217]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 3, "global_sentence_id": 231, "edu_l1_label": "EDU_O"}, {"txt": "(b) Non-IID case", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.627, 0.224, 0.729, 0.237]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 7, "global_sentence_id": 232, "edu_l1_label": "EDU_O"}, {"txt": "Figure 4: The performance of baselines and our PRISM with privacy budget (ϵ, δ) (9.8, 10−5). X-axis represents the number of parameters of fnal generator, while Y-axis representsFID. The diameter of each circle denotes the required communication cost at every round. The ideal case is the bottom-left corner.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.174, 0.24, 0.827, 0.294]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 1, "global_sentence_id": 233, "edu_l1_label": "EDU_O"}, {"txt": "Table 3: Quantitative comparison in non-IID scenario without DP. We compare FID, P&R, D&C. Communication cost refers to the number of bytes exchanged between clients and server. † indicatesthat MADA is removed. We set α = 80 for PRISM∗.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.173, 0.304, 0.82, 0.346]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 234, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.176, 0.358, 0.826, 0.599]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 235, "edu_l1_label": "EDU_O"}, {"txt": "communication cost than PRISM due to multi GAN strategy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.176, 0.619, 0.588, 0.634]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 236, "edu_l1_label": "IOS"}, {"txt": "However, in FL setups, users may want to trade-off between the communication cost and generative performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.588, 0.619, 0.824, 0.634], [0.176, 0.633, 0.689, 0.648]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": "As shown in Table 3 and Figure 5, PRISM∗outperforms across all benchmarks, including CIFAR10, while maintaininga communication cost comparable to MD-GAN and far lower than Multi-FLGAN.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.689, 0.633, 0.824, 0.648], [0.176, 0.646, 0.824, 0.662], [0.176, 0.66, 0.723, 0.675]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 238, "edu_l1_label": "IOS"}, {"txt": "Further details on PRISM∗can be found in Appendix F.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.723, 0.66, 0.824, 0.675], [0.176, 0.674, 0.444, 0.689]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 239, "edu_l1_label": "IOS"}, {"txt": "5.4 EFFECT OF DYNAMIC MOVING AVERAGE AGGREGATION", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.177, 0.705, 0.199, 0.72], [0.216, 0.705, 0.598, 0.72]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 240, "edu_l1_label": "IOS"}, {"txt": "In this section, we empirically demonstrate the effectiveness of dynamic moving average aggregation using the MNIST dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.176, 0.729, 0.824, 0.744], [0.176, 0.743, 0.37, 0.758]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 241, "edu_l1_label": "IOS"}, {"txt": "Figure 6 visualizes local model updates over communication rounds t. At each global round t, clients receive the aggregated global mask M tg −1 and continue local trainingfor several epochs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.37, 0.743, 0.824, 0.758], [0.176, 0.757, 0.632, 0.764], [0.629, 0.765, 0.824, 0.772], [0.176, 0.773, 0.3, 0.788]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 242, "edu_l1_label": "IOS"}, {"txt": "Afterward, the trained local mask M tk is ugploaded for the next communication ming distance between the received mask and the trained lotcal mtask to track the discrepancy of local model updates.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.3, 0.773, 0.824, 0.788], [0.176, 0.801, 0.824, 0.816], [0.176, 0.814, 0.313, 0.83]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 243, "edu_l1_label": "IOS"}, {"txt": "For simplicity, we visualize the results for the frst client, but similar trends were observed across other clients.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.313, 0.814, 0.824, 0.83], [0.176, 0.828, 0.403, 0.843]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 244, "edu_l1_label": "IOS"}, {"txt": "In Figure 6, PRISM exhibits impressive FID scores and reduced local updates than PRISM†, clearly demonstrating that MADA not only restricts the local modeldivergence but also achieves signifcant performance gain across various challenging FL settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.403, 0.828, 0.824, 0.843], [0.176, 0.842, 0.824, 0.857], [0.176, 0.856, 0.824, 0.871]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 245, "edu_l1_label": "IOS"}, {"txt": "This is accomplished by automatically obtaining λ based on the current mask, without requiringadditional regularization terms or hyperparameter tuning4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.176, 0.87, 0.824, 0.885], [0.176, 0.884, 0.556, 0.899]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 246, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.194, 0.91, 0.776, 0.925]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 247, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.494, 0.95, 0.506, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 248, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.173, 0.072, 0.824, 0.45]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 249, "edu_l1_label": "EDU_O"}, {"txt": "Figure 5: Qualitative results in non-IID scenario without considering privacy budget. Generated images from the models in Table 3 on MNIST, FMNIST, CelebA, and CIFAR10. Here, we set α = 80 for PRISM∗.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.174, 0.455, 0.828, 0.497]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 250, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.169, 0.501, 0.832, 0.633]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 4, "global_sentence_id": 251, "edu_l1_label": "EDU_O"}, {"txt": "Figure 6: Local divergence ∆t and FID values in the non-IID and DP-considering scenario.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.201, 0.639, 0.799, 0.655]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 6, "global_sentence_id": 252, "edu_l1_label": "EDU_O"}, {"txt": "5.5RESOURCE EFFICIENCY AT INFERENCE TIME", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.173, 0.67, 0.525, 0.684]]}]}, "tags": ["figure_caption"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 253, "edu_l1_label": "IOS"}, {"txt": "The fnal model sizes of the baselines and our method are reported in Table 1, Table 2, and Table 3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.176, 0.693, 0.824, 0.708]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 254, "edu_l1_label": "IOS"}, {"txt": "Note that in addition to our method, applying various lossless compression techniques (e.g., arithmetic coding (Rissanen & Langdon, 1979)]) can further reduce the required resources of PRISM.", "language": "english", "position": {"pdf_position": [{"page_number": 0, 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"edu_l1_label": "IOS"}, {"txt": "In this paper, we proposed PRISM, an effcient and stable federated generative framework that capitalizes on stochastic binary masks and MMD loss.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.502, 0.799, 0.824, 0.814], [0.176, 0.813, 0.824, 0.828], [0.176, 0.827, 0.206, 0.842]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "To further enhance stability under non-IID and privacy-preserving scenario, we introduced a mask-aware dynamic moving average aggregation strategy (MADA) that mitigates client drift.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.206, 0.827, 0.824, 0.842], [0.176, 0.841, 0.824, 0.856]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "Additionally, PRISM offers a hybrid mask/score aggregation method, allowing for a fexible and controllable trade-off between performance and effciency.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.176, 0.855, 0.824, 0.87], [0.176, 0.868, 0.568, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "Our extensive experiments, including scenarios involving differential privacy and non-IID setups, demonstrated that PRISM is robust in unstable environments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.568, 0.868, 0.824, 0.884], [0.176, 0.882, 0.824, 0.897], [0.176, 0.896, 0.327, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": "To the best of our knowledge, PRISM is the frst framework to consistently generate high-quality images with signifcantly reduced communication overhead in FL settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.327, 0.896, 0.824, 0.911], [0.176, 0.91, 0.805, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 262, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.493, 0.95, 0.508, 0.96]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 263, "edu_l1_label": "EDU_O"}, {"txt": "ACKNOWLEDGMENTS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.177, 0.102, 0.357, 0.119]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 2, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2022R1C1C1008496) and Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT):", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.173, 0.135, 0.827, 0.248]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 265, "edu_l1_label": "EDU_O"}, {"txt": " (No.2022-0-00959, No.RS-2022-II220959 (Part 2) Few-Shot Learning of Causal Inference in Vision and Language for Decision Making), (No.RS-2022-II220264, Comprehensive Video Understanding and Generation with Knowledge-based Deep Logic Neural Network), (No.RS-2020-II201336, Artifcial Intelligence Graduate School Program (UNIST)), (No.RS-2021-II212068, Artifcial Intelligence Innovation Hub).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.173, 0.135, 0.827, 0.248]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 266, "edu_l1_label": "EDU_O"}, {"txt": "REFERENCES", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.177, 0.266, 0.286, 0.283]]}]}, "tags": ["title"], "label": "reference", "web_segment_id": 3, "global_sentence_id": 267, "edu_l1_label": "EDU_O"}, {"txt": "Akash Amalan, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, and Kaitai Liang.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.176, 0.29, 0.726, 0.305]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 1, "global_sentence_id": 268, "edu_l1_label": "EDU_O"}, {"txt": "Multi-fgans: Multi-distributed 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[{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.778, 0.693, 0.824, 0.708], [0.193, 0.707, 0.413, 0.722]]}]}, "tags": ["text"], "label": "reference", "web_segment_id": 1, "global_sentence_id": 459, "edu_l1_label": "EDU_O"}, {"txt": "AAPPENDIX", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.177, 0.745, 0.298, 0.762]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 3, "global_sentence_id": 460, "edu_l1_label": "IOS"}, {"txt": "APRIVACY", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.177, 0.778, 0.285, 0.795]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 2, "global_sentence_id": 461, "edu_l1_label": "EDU_O"}, {"txt": "Diffenrential privacy (DP) and Re´nyi Differential Privacy (RDP) (Dwork et al., 2006;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.176, 0.809, 0.756, 0.825]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 462, "edu_l1_label": "EDU_O"}, {"txt": " Mironov,2017)] are the most popular defnitions to analysis the privacy in FL environments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.756, 0.809, 0.824, 0.825], [0.176, 0.823, 0.744, 0.838]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 463, "edu_l1_label": "EDU_O"}, {"txt": "These help mitigate privacy concerns by limiting the contribution of individual data points.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.744, 0.823, 0.824, 0.838], [0.176, 0.837, 0.687, 0.852]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 464, "edu_l1_label": "EDU_O"}, {"txt": "(ϵ, δ)-DP and (α, ϵ)-RDP basically calculates the distance of outcome for the algorithm of adjacent datasets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.687, 0.837, 0.824, 0.852], [0.176, 0.851, 0.747, 0.866]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 465, "edu_l1_label": "EDU_O"}, {"txt": "Defnition 2 ((ϵ, δ)-Differential Privacy) A randomized mechanism M : X→R is (ϵ, δ)-differential privacy, if for any two adjacent datasets D, D′ and for any measurable sets S:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.173, 0.877, 0.826, 0.908]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 4, "global_sentence_id": 466, "edu_l1_label": "EDU_O"}, {"txt": "Pr[M(D) ∈ S] ≤ eεPr[M(D′) ∈ S] + ε", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.362, 0.91, 0.639, 0.927]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 5, "global_sentence_id": 467, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.493, 0.95, 0.508, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 468, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.804, 0.912, 0.825, 0.925]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 469, "edu_l1_label": "EDU_O"}, {"txt": "Defnition 3 ((α, ϵ) Re´nyi Differential Privacy) For two probability distributions P and Q, theRe´nyi divergence of order α > 1 defned as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.176, 0.104, 0.824, 0.119], [0.176, 0.118, 0.515, 0.133]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 470, "edu_l1_label": "EDU_O"}, {"txt": "R _ { \\alpha } ( P | | Q ) \\triangleq \\frac { 1 } { \\alpha - 1 } \\operatorname { l o g } \\mathbb { E } _ { x \\sim Q } ( \\frac { P ( x ) } { Q ( x ) } ) ^ { \\alpha } .", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.362, 0.137, 0.63, 0.17]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 16, "global_sentence_id": 471, "edu_l1_label": "EDU_O"}, {"txt": "(4)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.805, 0.147, 0.824, 0.162]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 11, "global_sentence_id": 472, "edu_l1_label": "EDU_O"}, {"txt": "then, a randomized mechanism M :", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.176, 0.175, 0.422, 0.19]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 473, "edu_l1_label": "EDU_O"}, {"txt": " X →R is (α, ϵ) Re´nyi differential privacy, if for any twoadjacent datasets D, D′ and for any measurable sets S:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.422, 0.175, 0.824, 0.19], [0.176, 0.189, 0.541, 0.204]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 474, "edu_l1_label": "EDU_O"}, {"txt": "R&(M(D)||M(D′))≤≤ e", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.416, 0.226, 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"english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.176, 0.283, 0.824, 0.298], [0.176, 0.296, 0.48, 0.312]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 478, "edu_l1_label": "EDU_O"}, {"txt": "To satisfy the (ϵ, δ)-DP, our goal is privatiz2e theϵ2∆2 = maxD,D′ ||M(D) −M(D′)||2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.48, 0.296, 0.824, 0.312], [0.746, 0.324, 0.757, 0.33], [0.176, 0.334, 0.427, 0.347]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 479, "edu_l1_label": "EDU_O"}, {"txt": "When the local training is end, each client has scores s ∈Rdto choose which weight to prune.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.427, 0.334, 0.823, 0.341], [0.176, 0.347, 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"position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.26, 0.381, 0.459, 0.394]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 483, "edu_l1_label": "EDU_O"}, {"txt": "Now, we ensure θ˜ is (ϵ, δ)-DP.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.459, 0.381, 0.669, 0.394]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 484, "edu_l1_label": "EDU_O"}, {"txt": "For a fair comparison,we use (ϵ, δ) = (9.8, 10−5) to PRISM and our baselines in all of our experiments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.669, 0.381, 0.824, 0.394], [0.176, 0.395, 0.72, 0.41]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 485, "edu_l1_label": "EDU_O"}, {"txt": "In addition, weregulate the global round to ensure that the overall privacy budget does not exceed ϵ.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.72, 0.395, 0.824, 0.41], [0.176, 0.409, 0.739, 0.424]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 486, "edu_l1_label": "EDU_O"}, {"txt": "To track theoverall privacy budget, we employ subsampled moments accountant (Wang et al., 2019)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.739, 0.409, 0.824, 0.424], [0.176, 0.423, 0.749, 0.438]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 487, "edu_l1_label": "EDU_O"}, {"txt": "We refer to the Opacus library which is the user-friendly pytorch framework for differential privacy (Yousefpour et al., 2021)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.749, 0.423, 0.824, 0.438], [0.176, 0.437, 0.824, 0.452], [0.176, 0.45, 0.264, 0.466]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 488, "edu_l1_label": "EDU_O"}, {"txt": "(Imola & Chaudhuri, 2021;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.176, 0.472, 0.353, 0.487]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 489, "edu_l1_label": "EDU_O"}, {"txt": " Isik et al., 2022)] have shown that performing post processing to already privatized vector θ˜ such as Bernoulli sampling enjoys privacy amplifcation under some conditions.By doing so, the overall privacy budget becomes smaller ϵamp ≤min{ϵ, dγα(c)}, where γα(·) isthe binary symmetry Re´nyi divergence as expressed below:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.353, 0.472, 0.824, 0.487], [0.176, 0.487, 0.824, 0.503], [0.176, 0.501, 0.824, 0.516], [0.176, 0.515, 0.562, 0.53]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 490, "edu_l1_label": "EDU_O"}, {"txt": "%(c) = ;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.336, 0.555, 0.4, 0.572]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 491, "edu_l1_label": "EDU_O"}, {"txt": "(6)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.805, 0.554, 0.824, 0.57]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 492, "edu_l1_label": "EDU_O"}, {"txt": "where α refers to the order of the divergence.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.176, 0.578, 0.474, 0.593]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 493, "edu_l1_label": "EDU_O"}, {"txt": "Note that d limits the privacy amplifcation when themodel size becomes large.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.474, 0.578, 0.824, 0.593], [0.176, 0.592, 0.351, 0.607]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 494, "edu_l1_label": "EDU_O"}, {"txt": "Since PRISM assumes that the model size is large enough due to SLT, we focus on communication effciency rather than privacy amplifcation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.351, 0.592, 0.824, 0.607], [0.176, 0.606, 0.648, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 495, "edu_l1_label": "EDU_O"}, {"txt": "BPRIVACY AMPLIFIED SCENARIO", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.177, 0.639, 0.47, 0.657]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 8, "global_sentence_id": 496, "edu_l1_label": "EDU_O"}, {"txt": "In this section, we discuss about potential privacy beneft of PRISM under some conditions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.176, 0.671, 0.771, 0.686]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 497, "edu_l1_label": "EDU_O"}, {"txt": "Typical FL setting, a malicious third party can estimate W tk −W hg from the communicated gradients.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.771, 0.671, 0.824, 0.686], [0.176, 0.685, 0.799, 0.7]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 498, "edu_l1_label": "EDU_O"}, {"txt": "Byanalyzing these gradients, an attacker can extract information about the local data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.799, 0.685, 0.824, 0.7], [0.176, 0.699, 0.722, 0.714]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 499, "edu_l1_label": "EDU_O"}, {"txt": "However, with PRISM, only the binary masks M tk and M tg are exchanged, which hinders an attacker’s efforts sincethey do not have access to the synchronized initial weight Winit shared between the client and server.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.722, 0.699, 0.824, 0.714], [0.176, 0.713, 0.824, 0.728], [0.176, 0.727, 0.824, 0.742]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 500, "edu_l1_label": "EDU_O"}, {"txt": "CTRAINING DETAILS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.177, 0.76, 0.373, 0.778]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 501, "edu_l1_label": "EDU_O"}, {"txt": "In this section, we provide the detailed description of our implementations and experimental settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.176, 0.792, 0.824, 0.807], [0.176, 0.806, 0.212, 0.821]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 502, "edu_l1_label": "EDU_O"}, {"txt": "In Table 4, we provide the model architectures used in our experiments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.212, 0.806, 0.679, 0.821]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 503, "edu_l1_label": "EDU_O"}, {"txt": "We use ResNet-based generator and set the local epoch to 100 and learning rate to 0.1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.679, 0.806, 0.824, 0.821], [0.176, 0.82, 0.614, 0.835]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 504, "edu_l1_label": "EDU_O"}, {"txt": "In addition, we do not employ training schedulers or learning rate decay.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.614, 0.82, 0.824, 0.835], [0.176, 0.834, 0.458, 0.849]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 505, "edu_l1_label": "EDU_O"}, {"txt": "Our code is based on (Santos et al., 2019; Yeo et al., 2023)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.458, 0.834, 0.824, 0.849], [0.176, 0.848, 0.224, 0.863]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 506, "edu_l1_label": "EDU_O"}, {"txt": "They employ the ImageNet-pretrained VGG19 network for feature matching by minimizing the Eq.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.224, 0.848, 0.824, 0.863], [0.176, 0.861, 0.223, 0.877]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 507, "edu_l1_label": "EDU_O"}, {"txt": "1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.223, 0.861, 0.24, 0.877]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 508, "edu_l1_label": "EDU_O"}, {"txt": "However, calculating the frst and second moments require the large batch size to obtain the accurate statistics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.24, 0.861, 0.824, 0.877], [0.176, 0.875, 0.319, 0.89]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 509, "edu_l1_label": "EDU_O"}, {"txt": "To address this issue, (Santos et al., 2019)] introduces Adam moving average (AMA).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.319, 0.875, 0.824, 0.89], [0.176, 0.889, 0.229, 0.904]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 510, "edu_l1_label": "EDU_O"}, {"txt": "With a rate λ, the update of AMA m is expressed as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.229, 0.889, 0.63, 0.904]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 511, "edu_l1_label": "EDU_O"}, {"txt": "m ← m - XADAM(m - △),", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.399, 0.912, 0.6, 0.927]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 13, "global_sentence_id": 512, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.493, 0.95, 0.507, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 513, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.804, 0.912, 0.825, 0.925]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 514, "edu_l1_label": "EDU_O"}, {"txt": "Table 4: Generator architecture used in our experiments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.316, 0.102, 0.683, 0.116]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 5, "global_sentence_id": 515, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11500000, "bbox": [[0.208, 0.127, 0.789, 0.436]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 516, "edu_l1_label": "EDU_O"}, {"txt": "where ADAM denotes Adam optimizer (Kingma & Ba, 2014)] and ∆is the discrepancy of themeans of the extracted features. Note that ADAM(m −∆) can be interpreted as gradient descent byminimizing the L2 loss:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.175, 0.456, 0.829, 0.499]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 7, "global_sentence_id": 517, "edu_l1_label": "EDU_O"}, {"txt": "min", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.439, 0.507, 0.474, 0.518]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 518, "edu_l1_label": "EDU_O"}, {"txt": "m", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.442, 0.513, 0.482, 0.528]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 519, "edu_l1_label": "EDU_O"}, {"txt": "This means the difference of statistics (m −∆) is passed through a single MLP layer and updatedusing the Adam optimizer to the direction of minimizing Eq.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.176, 0.527, 0.824, 0.543], [0.176, 0.541, 0.586, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 520, "edu_l1_label": "EDU_O"}, {"txt": "8.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.586, 0.541, 0.604, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 521, "edu_l1_label": "EDU_O"}, {"txt": "By utilizing AMA, Eq.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.604, 0.541, 0.764, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 522, "edu_l1_label": "EDU_O"}, {"txt": "1 is for 2 2 Algorithm 1, 2 provides the pseudocode for MADA and PRISM∗correspondingly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.764, 0.541, 0.824, 0.556], [0.555, 0.556, 0.561, 0.565], [0.809, 0.556, 0.815, 0.565], [0.176, 0.58, 0.713, 0.595]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 523, "edu_l1_label": "EDU_O"}, {"txt": "AMA is omittedto simply express the fow of our framework.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.713, 0.58, 0.824, 0.595], [0.176, 0.594, 0.467, 0.609]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 524, "edu_l1_label": "EDU_O"}, {"txt": "See our code for pytorch implementation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.467, 0.594, 0.741, 0.609]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 525, "edu_l1_label": "EDU_O"}, {"txt": "We train the local generator for 100 local iterations with learning rate of 0.1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.741, 0.594, 0.824, 0.609], [0.176, 0.608, 0.59, 0.623]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 526, "edu_l1_label": "EDU_O"}, {"txt": "For the AMA layer, learning rate is set to 0.005.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.59, 0.608, 0.824, 0.623], [0.176, 0.622, 0.255, 0.637]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 527, "edu_l1_label": "EDU_O"}, {"txt": "In addition, we use the Adam optimizer with β1 = 0.5, β2 = 0.999 to update the scoresof the generators.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.255, 0.622, 0.824, 0.637], [0.176, 0.636, 0.293, 0.651]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 528, "edu_l1_label": "EDU_O"}, {"txt": "After all clients complete their training, communication round is initiated.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.293, 0.636, 0.796, 0.651]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 529, "edu_l1_label": "EDU_O"}, {"txt": "We set the global epoch to 150 for the MNIST dataset and 350 for the CelebA and CIFAR10 datasets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.796, 0.636, 0.824, 0.651], [0.176, 0.649, 0.824, 0.665]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 530, "edu_l1_label": "EDU_O"}, {"txt": "As we do not adjust the parameters, note that there is room for performance improvements through hyperparameter tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.176, 0.663, 0.824, 0.678], [0.176, 0.677, 0.328, 0.692]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 531, "edu_l1_label": "EDU_O"}, {"txt": "DDATASET PARTITIONING STRATEGIES ACROSS CLIENTS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11900000, "bbox": [[0.177, 0.711, 0.664, 0.728]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 8, "global_sentence_id": 532, "edu_l1_label": "EDU_O"}, {"txt": "Here, we elaborate on the dataset partitioning strategies 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"global_sentence_id": 594, "edu_l1_label": "EDU_O"}, {"txt": "Table 5: Quantitative comparison in Dirichlet non-IID scenario with (ϵ, δ) = (9.8, 10−5). Wecompare FID, P&R, D&C. † indicates that MADA is removed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13000000, "bbox": [[0.173, 0.102, 0.827, 0.129]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 4, "global_sentence_id": 595, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13100000, "bbox": [[0.239, 0.14, 0.775, 0.339]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 3, "global_sentence_id": 596, "edu_l1_label": "EDU_O"}, {"txt": "Table 6: Quantitative comparison in Dirichlet non-IID scenario without DP. We compare FID, P&R, D&C. † indicates that MADA is removed. We set α = 80 for PRISM∗.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13200000, "bbox": [[0.175, 0.356, 0.824, 0.385]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 0, "global_sentence_id": 597, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13300000, "bbox": [[0.177, 0.396, 0.825, 0.65]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 598, "edu_l1_label": "EDU_O"}, {"txt": "80% female. To the best of our knowledge, methods for splitting multi-label datasets into extreme non-IID scenarios have not been extensively explored. Table 5 and Table 6 present a quantitative comparison of baselines and our methods under both with and without DP. PRISM demonstrates robust performance even under highly heterogeneity distributions. Note that Multi-FLGAN fails to successfully train generative model under highly heterogeneity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13400000, "bbox": [[0.173, 0.668, 0.826, 0.74]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 599, "edu_l1_label": "EDU_O"}, {"txt": "EEFFICIENT STORAGE AND QUANTIZATION STRATEGY IN PRISM", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13500000, "bbox": [[0.177, 0.759, 0.743, 0.777]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 600, "edu_l1_label": "EDU_O"}, {"txt": "In this section, we provide further detail description regarding storage effciency of PRISM.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.176, 0.792, 0.776, 0.808]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 601, "edu_l1_label": "EDU_O"}, {"txt": "Aforementioned in Section 4.1, the fnal model can be expressed as W ∗= Winit ⊙M ∗.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.776, 0.792, 0.824, 0.808], [0.176, 0.806, 0.729, 0.821]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 602, "edu_l1_label": "EDU_O"}, {"txt": "Since Mfianlis lightweight binary masks, we need to focus on the storage of Winit.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.729, 0.806, 0.823, 0.822], [0.176, 0.82, 0.663, 0.835]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 603, "edu_l1_label": "EDU_O"}, {"txt": "Note that Winit is initialized as signed constant using Kaiming Normal distribution.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.663, 0.82, 0.824, 0.835], [0.176, 0.834, 0.594, 0.849]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 604, "edu_l1_label": "EDU_O"}, {"txt": "In other words, the initialized parameter of layer l becomes {+p2/nl−1, −p2/nl−1, · · · , +p2/nl−1} ∈Rd.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.594, 0.834, 0.824, 0.849], [0.176, 0.85, 0.696, 0.865]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 605, "edu_l1_label": "EDU_O"}, {"txt": "This design makesstoring the scaling factor v =2/nl−1 be enough to represent each parameter, represented asWinit = v ⊙Msign, where Msipgn is defned as {+1, −1, · · · , +1} ∈Rd.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.696, 0.85, 0.824, 0.865], [0.176, 0.866, 0.824, 0.882], [0.176, 0.884, 0.675, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 606, "edu_l1_label": "EDU_O"}, {"txt": "Our memory-effcientapproach is closely related to ternary quantization (Zhu et al., 2016)], which typically compresses neural network weights into {−1, 0, 1} through thresholding and projection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.675, 0.884, 0.824, 0.897], [0.176, 0.896, 0.824, 0.911], [0.176, 0.91, 0.675, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 607, "edu_l1_label": "EDU_O"}, {"txt": "However, PRISM dis-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13600000, "bbox": [[0.675, 0.91, 0.824, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 608, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.493, 0.95, 0.508, 0.96]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 609, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13700000, "bbox": [[0.173, 0.099, 0.491, 0.258]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 5, "global_sentence_id": 610, "edu_l1_label": "EDU_O"}, {"txt": "Figure 7: Analysis of PRISM∗using CIFAR10 dataset. The backward path selects α% of scorelayers from deeper layers, closer to the output, while the forward path chooses from the opposite end, nearer to the input. Solid-line demonstrates FID following each direction while dash-line shows communication cost (MB) of each path.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13800000, "bbox": [[0.173, 0.27, 0.827, 0.328]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 1, "global_sentence_id": 611, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.509, 0.099, 0.825, 0.245]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 4, "global_sentence_id": 612, "edu_l1_label": "EDU_O"}, {"txt": "(b) Non-IID case", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.612, 0.246, 0.722, 0.259]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 11, "global_sentence_id": 613, "edu_l1_label": "EDU_O"}, {"txt": "Less cost Less quality", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.182, 0.345, 0.254, 0.37]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 12, "global_sentence_id": 614, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14100000, "bbox": [[0.175, 0.37, 0.829, 0.502]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 6, "global_sentence_id": 615, "edu_l1_label": "EDU_O"}, {"txt": "Figure 8: The effect of adjusting α of PRISM∗. Qualitative comparison according to α. Note thatα = 0 is identical to PRISM.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14200000, "bbox": [[0.173, 0.51, 0.827, 0.541]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 8, "global_sentence_id": 616, "edu_l1_label": "EDU_O"}, {"txt": "High cost High quality", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.764, 0.345, 0.816, 0.356], [0.749, 0.357, 0.817, 0.369]]}]}, "tags": ["text"], "label": "title3", "web_segment_id": 10, "global_sentence_id": 617, "edu_l1_label": "EDU_O"}, {"txt": "tinguishes itself by directly initialized frozen weights as signed constants using the Kaiming Normal distribution.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.176, 0.556, 0.824, 0.571], [0.176, 0.569, 0.255, 0.585]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 618, "edu_l1_label": "EDU_O"}, {"txt": "Since storing a signed array is negligible in terms of memory overhead, this design makes the fnal model exceptionally lightweight without extra pruning or quantization.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.255, 0.569, 0.824, 0.585], [0.176, 0.583, 0.741, 0.598]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 619, "edu_l1_label": "EDU_O"}, {"txt": "FANALYSIS OF HYBRID AGGREGATION", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.177, 0.618, 0.517, 0.635]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 620, "edu_l1_label": "IOS"}, {"txt": "In this section, we further analyze PRISM∗, which leverages both binary mask and score communi-cations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.176, 0.65, 0.824, 0.665], [0.176, 0.664, 0.227, 0.679]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 621, "edu_l1_label": "IOS"}, {"txt": "To explore the trade-off between communication cost and generative capability, we consider two strategies: the backward path and forward path.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.227, 0.664, 0.824, 0.679], [0.176, 0.677, 0.515, 0.693]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 622, "edu_l1_label": "EDU_O"}, {"txt": "The backward path progressively increases the number of score layers from deeper layers to earlier layers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.515, 0.677, 0.824, 0.693], [0.176, 0.691, 0.577, 0.706]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 623, "edu_l1_label": "EDU_O"}, {"txt": "Conversely, in the forward path, we select score layers from earlier layers to deeper layers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.577, 0.691, 0.824, 0.706], [0.176, 0.705, 0.533, 0.72]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 624, "edu_l1_label": "EDU_O"}, {"txt": "Figure 7 visually demonstrates the trade-off between communication cost and FID of both strategies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.533, 0.705, 0.824, 0.72], [0.176, 0.719, 0.54, 0.734]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 625, "edu_l1_label": "EDU_O"}, {"txt": "The FID gradually improves as we increase α values in both cases.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.54, 0.719, 0.824, 0.734], [0.176, 0.735, 0.327, 0.748]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 626, "edu_l1_label": "EDU_O"}, {"txt": "Note that the additional communication cost of the backward path tends toincrease more smoothly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.327, 0.735, 0.824, 0.748], [0.176, 0.747, 0.336, 0.762]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 627, "edu_l1_label": "EDU_O"}, {"txt": "Based on these observations, we adopt the backward path for Table 3 and Figure 5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.336, 0.747, 0.824, 0.762], [0.176, 0.76, 0.236, 0.776]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 628, "edu_l1_label": "EDU_O"}, {"txt": "Figure 8 provides a comprehensive comparison across a wide range of α values, showingthat PRISM∗consistently produces high quality images.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.236, 0.76, 0.824, 0.776], [0.176, 0.774, 0.543, 0.789]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 629, "edu_l1_label": "EDU_O"}, {"txt": "Note that all experiments are conducted inprivacy-free scenario.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.543, 0.774, 0.824, 0.789], [0.176, 0.788, 0.317, 0.803]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 630, "edu_l1_label": "EDU_O"}, {"txt": "G COMMUNICATION COST DURING DOWNLINK PROCESS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14700000, "bbox": [[0.177, 0.822, 0.191, 0.841], [0.212, 0.822, 0.657, 0.84]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 631, "edu_l1_label": "IOS"}, {"txt": "In a typical FL setup, the server possesses powerful computational capabilities, whereas the clients do not.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.176, 0.855, 0.824, 0.87], [0.176, 0.868, 0.223, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 632, "edu_l1_label": "IOS"}, {"txt": "As a result, several prior studies primarily focus on addressing the limited bandwidth of clients (Kim et al., 2024a; Hu et al., 2023; Yi et al., 2022)].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.223, 0.868, 0.824, 0.884], [0.176, 0.882, 0.568, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 633, "edu_l1_label": "IOS"}, {"txt": "Accordingly, we have concentrated on the reducing communication cost during the uplink process, transmitting a foat-type score during downlink to mitigate the information loss.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.568, 0.882, 0.824, 0.897], [0.176, 0.896, 0.824, 0.911], [0.176, 0.91, 0.453, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 634, "edu_l1_label": "IOS"}, {"txt": "Last but not least, binary mask communication can also", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.453, 0.91, 0.824, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 635, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14900000, "bbox": [[0.493, 0.95, 0.508, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 636, "edu_l1_label": "EDU_O"}, {"txt": "be employed in the downlink to further enhance communication effciency, despite the occurrence of information loss during the conversion of the global mask into local scores.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14900000, "bbox": [[0.176, 0.104, 0.824, 0.119], [0.176, 0.118, 0.684, 0.133]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 637, "edu_l1_label": "EDU_O"}, {"txt": "Table 7:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.176, 0.144, 0.229, 0.159]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 8, "global_sentence_id": 638, "edu_l1_label": "EDU_O"}, {"txt": " Quantitative results on cross-device environment.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.229, 0.144, 0.573, 0.16]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 8, "global_sentence_id": 639, "edu_l1_label": "EDU_O"}, {"txt": "We set the number of clients to 50 and participant ratio to 20%.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.573, 0.144, 0.824, 0.159], [0.176, 0.158, 0.335, 0.173]]}]}, "tags": ["text"], "label": "table_title", "web_segment_id": 8, "global_sentence_id": 640, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.176, 0.19, 0.826, 0.303]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 3, "global_sentence_id": 641, "edu_l1_label": "EDU_O"}, {"txt": "HCROSS-DEVICE ENVIRONMENTS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15200000, "bbox": [[0.177, 0.333, 0.477, 0.35]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 642, "edu_l1_label": "IOS"}, {"txt": "PRISM is designed to provide effcient communication cost, making it ideal for cross-device environments with numerous clients and limited bandwidth.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15300000, "bbox": [[0.176, 0.364, 0.824, 0.379], [0.176, 0.378, 0.553, 0.393]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 643, "edu_l1_label": "IOS"}, {"txt": "Typically, cross-device setting involves a large number of clients and an unreliable network, such as those encountered in iPhone and wearable devices.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15300000, "bbox": [[0.553, 0.378, 0.824, 0.393], [0.176, 0.392, 0.824, 0.407], [0.176, 0.406, 0.229, 0.421]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 644, "edu_l1_label": "IOS"}, {"txt": "This complexity makes it diffcult to ensure that all clients in every communication round.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15300000, "bbox": [[0.229, 0.406, 0.824, 0.421]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 645, "edu_l1_label": "IOS"}, {"txt": "To simulate this cross-device environment, we set the number of clients to 50 and the participant ratio as 20%.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15300000, "bbox": [[0.176, 0.42, 0.824, 0.435], [0.176, 0.433, 0.261, 0.449]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 646, "edu_l1_label": "IOS"}, {"txt": "Table 7 shows the quantitative results using MNIST dataset, both with and without DP.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15300000, "bbox": [[0.261, 0.433, 0.824, 0.449]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 647, "edu_l1_label": "IOS"}, {"txt": "PRISM demonstrates a clear performance advantage over other baselines and is well-suited for the cross-device environment.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15300000, "bbox": [[0.176, 0.447, 0.824, 0.462], [0.176, 0.461, 0.347, 0.476]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 648, "edu_l1_label": "IOS"}, {"txt": "IANALYSIS OF CONVERGENCE OF λ IN MADA", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15400000, "bbox": [[0.177, 0.495, 0.581, 0.513]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 6, "global_sentence_id": 649, "edu_l1_label": "IOS"}, {"txt": "In this section, we provide a detailed discussion on how the reduction in λ, which measures thesimilarity between two consecutive global masks, helps mitigate client drift.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.176, 0.526, 0.824, 0.541], [0.176, 0.54, 0.672, 0.555]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 650, "edu_l1_label": "IOS"}, {"txt": "One possible explanation is that MADA implicitly modulates the learning rate for global updates on the server-side without requiring an explicit learning rate scheduler.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.176, 0.561, 0.824, 0.576], [0.176, 0.575, 0.617, 0.59]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 651, "edu_l1_label": "IOS"}, {"txt": "This behavior reduces the need for client-side learning rate scheduling to regularize local objectives.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.617, 0.575, 0.824, 0.59], [0.176, 0.589, 0.633, 0.604]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 652, "edu_l1_label": "EDU_O"}, {"txt": "To illustrate this, consider a local mask update represented as wkt = wkt−∆tk is local model update from client k. In stan−dard ·FedkAvg, the global update can be expressedas wFtedAvg = wkt−introducest a1 mask-aw−atre ·aggregattion metch1anism, and the global model is formulated as wMtAGA =−η · ∆tk.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.633, 0.589, 0.824, 0.604], [0.176, 0.603, 0.482, 0.617], [0.176, 0.619, 0.824, 0.632], [0.176, 0.632, 0.298, 0.647], [0.176, 0.649, 0.824, 0.664], [0.466, 0.667, 0.53, 0.68]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 653, "edu_l1_label": "EDU_O"}, {"txt": "Substituting the local mask update into this−η · λΣk∆tk, indicating that λeffectively scales the g l−obal upkdates st e·p sikze.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.53, 0.667, 0.824, 0.68], [0.621, 0.683, 0.824, 0.696], [0.176, 0.695, 0.473, 0.71]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 654, "edu_l1_label": "EDU_O"}, {"txt": "W−he ·n λ is klarge, thke global model closely follows theclient updates, while a small λ reduces the infuence of client updates, acting as a dampening factor.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.473, 0.695, 0.824, 0.71], [0.176, 0.709, 0.824, 0.724]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 655, "edu_l1_label": "EDU_O"}, {"txt": "The intuition behind this behavior is rooted in the nature or early-stage training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.176, 0.73, 0.705, 0.745]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 656, "edu_l1_label": "IOS"}, {"txt": "During the initial rounds, the model is far from convergence, resulting in large gradient norms and substantial parameter changes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.705, 0.73, 0.824, 0.745], [0.176, 0.744, 0.824, 0.759], [0.176, 0.758, 0.263, 0.773]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 657, "edu_l1_label": "EDU_O"}, {"txt": "Consequently, consecutive global masks exhibit signifcant differences, leading to a large λ.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.263, 0.758, 0.824, 0.773], [0.176, 0.772, 0.228, 0.787]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 658, "edu_l1_label": "EDU_O"}, {"txt": "As training progresses and the model stabilizes, mask updates become more similar, de-creasing λ.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.228, 0.772, 0.824, 0.787], [0.176, 0.785, 0.249, 0.801]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 659, "edu_l1_label": "EDU_O"}, {"txt": "This gradual reduction in λ prevents excessive global updates, stabilizing convergenceand mitigating client drift.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.249, 0.785, 0.824, 0.801], [0.176, 0.799, 0.352, 0.814]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 660, "edu_l1_label": "EDU_O"}, {"txt": "We elaborate on the behavior of client drift.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.352, 0.799, 0.652, 0.814]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 661, "edu_l1_label": "EDU_O"}, {"txt": "Even when client-drift is biased toward a specifc dominant client, the update difference for the dominant client naturally decreases from the perspective of global support, whereas the difference from the local solutions of other clients increases.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.652, 0.799, 0.824, 0.814], [0.176, 0.813, 0.824, 0.828], [0.176, 0.827, 0.824, 0.842], [0.176, 0.841, 0.324, 0.856]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 662, "edu_l1_label": "EDU_O"}, {"txt": "This pattern is refected in the aggregated model, and the difference between consecutive global models can partially capture this behavior (e.g., indicated by a large λ).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.324, 0.841, 0.824, 0.856], [0.176, 0.855, 0.763, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 663, "edu_l1_label": "EDU_O"}, {"txt": "As train-ing progresses and the model approaches the global optimum across local objectives, the differences between consecutive global models gradually decrease, leading to a reduction in λ. Conversely, inthe absence of client drift, such as in IID scenarios, the model learns fairly across all clients and naturally converges without notable fuctuations in global model differences.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.763, 0.855, 0.824, 0.87], [0.176, 0.868, 0.824, 0.884], [0.176, 0.882, 0.824, 0.897], [0.176, 0.896, 0.824, 0.911], [0.176, 0.91, 0.675, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 664, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.492, 0.949, 0.508, 0.961]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 665, "edu_l1_label": "EDU_O"}, {"txt": "In summary, MADA updates the global model in a way that avoids local divergence, gradually reducing global model differences even without learning rate decay.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15900000, "bbox": [[0.176, 0.104, 0.824, 0.119], [0.176, 0.118, 0.6, 0.133]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 666, "edu_l1_label": "EDU_O"}, {"txt": "As shown in Figure 6, λ decreasessharply in the early stages of training due to signifcant local divergence but gradually converges over time.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15900000, "bbox": [[0.6, 0.118, 0.824, 0.133], [0.176, 0.132, 0.824, 0.147], [0.176, 0.146, 0.209, 0.161]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 667, "edu_l1_label": "EDU_O"}, {"txt": "This result suggests that our understanding aligns with the behavior of λ.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15900000, "bbox": [[0.209, 0.146, 0.688, 0.161]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 668, "edu_l1_label": "EDU_O"}, {"txt": "Table 8: Comparison of FLOPS between PRISM and other baselines.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.273, 0.173, 0.724, 0.188]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 8, "global_sentence_id": 669, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.319, 0.204, 0.676, 0.25]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 670, "edu_l1_label": "EDU_O"}, {"txt": "JCOMPUTATION COST ANALYSIS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16200000, "bbox": [[0.177, 0.279, 0.464, 0.297]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 5, "global_sentence_id": 671, "edu_l1_label": "BOS"}, {"txt": "One might say that SLT process within PRISM increases computational complexity, particularly in large networks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.176, 0.312, 0.824, 0.327], [0.176, 0.325, 0.296, 0.341]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 672, "edu_l1_label": "IOS"}, {"txt": "As the number of model parameters grows, the required score parameters also scale linearly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.296, 0.325, 0.824, 0.341], [0.176, 0.339, 0.266, 0.354]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 673, "edu_l1_label": "IOS"}, {"txt": "However, in SLT, weight parameters are not optimized via gradient descent.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.266, 0.339, 0.761, 0.354]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 674, "edu_l1_label": "IOS"}, {"txt": "The only additional computations stem from the sigmoid and Bernoulli processes introduced during the binary masking procedure.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.761, 0.339, 0.824, 0.354], [0.176, 0.353, 0.824, 0.368], [0.176, 0.367, 0.337, 0.382]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 675, "edu_l1_label": "IOS"}, {"txt": "While these operations introduce some additional computational overhead, they remain negligible in the context of GPU-accelerated gradient descent.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.337, 0.367, 0.824, 0.382], [0.176, 0.381, 0.665, 0.396]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 676, "edu_l1_label": "IOS"}, {"txt": "To demonstrate that the additional computational cost is not substantial, we compare foating-point-operations per second (FLOPS) in Table 8.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.665, 0.381, 0.824, 0.396], [0.176, 0.395, 0.824, 0.41], [0.176, 0.408, 0.314, 0.424]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 677, "edu_l1_label": "IOS"}, {"txt": "GS-WGAN exhibits increased FLOPS due to spectral normalization, which is applied to stabilize GAN training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.314, 0.408, 0.824, 0.424], [0.176, 0.422, 0.421, 0.437]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 678, "edu_l1_label": "IOS"}, {"txt": "In contrast, PRISM, despite incorporating the SLT process, maintains a suffciently low FLOPS, ensuring its computational effciency.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.421, 0.422, 0.824, 0.437], [0.176, 0.436, 0.66, 0.451]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 679, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16400000, "bbox": [[0.398, 0.461, 0.604, 0.618]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 10, "global_sentence_id": 680, "edu_l1_label": "EDU_O"}, {"txt": "Figure 9: Generated images of PRISM where ddpm is used instead of MMD loss.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16500000, "bbox": [[0.232, 0.625, 0.768, 0.642]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 9, "global_sentence_id": 681, "edu_l1_label": "EDU_O"}, {"txt": "KSCALABILITY OF PRISM", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16600000, "bbox": [[0.177, 0.668, 0.421, 0.687]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 682, "edu_l1_label": "BOS"}, {"txt": "Due to the challenges associated with training generative models in FL setups, research on federated generative models has primarily focused on simple architectures (e.g., GANs) and datasets, such as MNIST and FMNIST level generation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16700000, "bbox": [[0.176, 0.7, 0.824, 0.716], [0.176, 0.714, 0.824, 0.729], [0.176, 0.728, 0.434, 0.743]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 683, "edu_l1_label": "IOS"}, {"txt": "However, it is important to note that the feld of federated generative models remains far behind the current trend of using more complex and powerful models, such as diffusion models, and large-scale datasets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16700000, "bbox": [[0.434, 0.728, 0.824, 0.743], [0.176, 0.742, 0.824, 0.757], [0.176, 0.756, 0.516, 0.771]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 684, "edu_l1_label": "IOS"}, {"txt": "This gap arises from the inherent diffculties in adapting these advanced models to FL setups.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16700000, "bbox": [[0.516, 0.756, 0.824, 0.771], [0.176, 0.77, 0.501, 0.785]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 685, "edu_l1_label": "IOS"}, {"txt": "Existing works have struggled to achieve stable performance in challenging setups, such as non-IID and privacy-preserving cases, even with MNISTlevel datasets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16700000, "bbox": [[0.501, 0.77, 0.824, 0.785], [0.176, 0.783, 0.824, 0.799], [0.176, 0.797, 0.268, 0.812]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 686, "edu_l1_label": "IOS"}, {"txt": "Even for centralized differential privacy generative models (Dockhorn et al., 2022; Jiang et al., 2024)],training generative models is highly challenging and often unstable.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16700000, "bbox": [[0.268, 0.797, 0.824, 0.812], [0.176, 0.811, 0.739, 0.826]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 687, "edu_l1_label": "IOS"}, {"txt": "Due to these obstacles, prior studies have primarily focused on simpler datasets, such as MNIST, and have been largely restricted to GANs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16700000, "bbox": [[0.739, 0.811, 0.824, 0.826], [0.176, 0.825, 0.824, 0.84], [0.176, 0.839, 0.352, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 688, "edu_l1_label": "IOS"}, {"txt": "K.1EXTEND TO DIFFUSION MODEL", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16800000, "bbox": [[0.177, 0.87, 0.436, 0.885]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 689, "edu_l1_label": "IOS"}, {"txt": "We further investigate the applicability of PRISM to larger and mode powerful generative models, such as diffusion models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16900000, "bbox": [[0.176, 0.896, 0.824, 0.911], [0.176, 0.91, 0.345, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 690, "edu_l1_label": "IOS"}, {"txt": "Specifcally, we retain the core concept of identifying SLT but replaced", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16900000, "bbox": [[0.345, 0.91, 0.824, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 691, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.492, 0.95, 0.507, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 692, "edu_l1_label": "EDU_O"}, {"txt": "the MMD loss with DDPM loss (Ho et al., 2020)] to guide score updates.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.176, 0.104, 0.669, 0.119]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 693, "edu_l1_label": "IOS"}, {"txt": "Notably, all other confgurations remain unchanged.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.669, 0.104, 0.824, 0.119], [0.176, 0.118, 0.378, 0.133]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 694, "edu_l1_label": "IOS"}, {"txt": "We conduct experiments on the MNIST dataset under a non-IID, privacy-free scenario.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.378, 0.118, 0.824, 0.133], [0.176, 0.132, 0.317, 0.147]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 695, "edu_l1_label": "IOS"}, {"txt": "Figure 9 presents the generated images on the server-side, which exhibit slight noisiness.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.317, 0.132, 0.824, 0.147], [0.176, 0.146, 0.24, 0.161]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 696, "edu_l1_label": "IOS"}, {"txt": "We anticipate that by improving the approach for identifying SLT within diffusion models and further curating the experimental setup, we can achieve more promising results.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.24, 0.146, 0.824, 0.161], [0.176, 0.16, 0.735, 0.175]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 697, "edu_l1_label": "IOS"}, {"txt": "On the other hand, directly applying the MMD loss-based approach used in PRISM, which requires generating a set of samples for each update, poses practical challenges due to the well-known limitations of DDPM, including slow sampling and convergence rates.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.735, 0.16, 0.824, 0.175], [0.176, 0.174, 0.824, 0.189], [0.176, 0.187, 0.824, 0.202], [0.176, 0.201, 0.546, 0.216]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 698, "edu_l1_label": "IOS"}, {"txt": "These limitations lead to signifcant computational costs, making the approach practically infeasible.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.546, 0.201, 0.824, 0.216], [0.176, 0.215, 0.568, 0.23]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 699, "edu_l1_label": "IOS"}, {"txt": "Since our primary focus is lightweight communication cost and stable performance, we leave this future work, effciently incorporating the powerful and diffusion model in federated settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.568, 0.215, 0.824, 0.23], [0.176, 0.229, 0.824, 0.244], [0.176, 0.243, 0.509, 0.258]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 700, "edu_l1_label": "IOS"}, {"txt": "K.2EVALUATION ON LARGE-SCALE DATASETS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17100000, "bbox": [[0.175, 0.287, 0.513, 0.302]]}]}, "tags": ["figure_caption"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 701, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17200000, "bbox": [[0.173, 0.327, 0.831, 0.563]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 3, "global_sentence_id": 702, "edu_l1_label": "EDU_O"}, {"txt": "Figure 10: Generated images of CelebA 128x128 dataset and CIFAR100 dataset under non-IID and privacy-free scenario.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17300000, "bbox": [[0.173, 0.57, 0.827, 0.599]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 4, "global_sentence_id": 703, "edu_l1_label": "EDU_O"}, {"txt": "Table 9: Performance of PRISM using CelebA 128x128 and CIAFR100 datasets under non-IID and privacy-free scenario.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17400000, "bbox": [[0.174, 0.643, 0.827, 0.673]]}]}, "tags": ["figure_caption"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 704, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17500000, "bbox": [[0.303, 0.689, 0.691, 0.75]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 705, "edu_l1_label": "EDU_O"}, {"txt": "Note that the feld of federated generative models have struggled to achieve stable performance in challenging setups, such as non-IID and privacy-preserving cases, even with MNIST-level datasets.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17600000, "bbox": [[0.176, 0.785, 0.824, 0.801], [0.176, 0.799, 0.824, 0.814]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 706, "edu_l1_label": "IOS"}, {"txt": "However, even under these conditions, PRISM is the frst to consistently demonstrate stable performance under these conditions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17600000, "bbox": [[0.176, 0.813, 0.824, 0.828], [0.176, 0.827, 0.395, 0.842]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 707, "edu_l1_label": "IOS"}, {"txt": "Despite the poor conditions of federated generative models, it is important to address whether PRISM can be extended to large-scale datasets under limited resources.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17600000, "bbox": [[0.395, 0.827, 0.824, 0.842], [0.176, 0.841, 0.824, 0.856]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 708, "edu_l1_label": "IOS"}, {"txt": "We provide quantitative and qualitative results on large-scale datasets in Table 9 and Figure 10, such as CelebA 128x128 and CIFAR100 datasets, under non-IID and privacy-free scenario.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17600000, "bbox": [[0.176, 0.855, 0.824, 0.87], [0.176, 0.868, 0.738, 0.884]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 709, "edu_l1_label": "IOS"}, {"txt": "Both experiments are conducted under exactly same settings as in Section 5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17600000, "bbox": [[0.738, 0.868, 0.824, 0.884], [0.176, 0.882, 0.601, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 710, "edu_l1_label": "IOS"}, {"txt": "As a result, PRISM demonstrates acceptable performance on high-resolution images; however, it reveals certain limitations when applied to large-scale datasets with diverse classes, such as CIFAR100.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17600000, "bbox": [[0.601, 0.882, 0.824, 0.897], [0.176, 0.896, 0.824, 0.911], [0.176, 0.91, 0.623, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 711, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17700000, "bbox": [[0.492, 0.95, 0.507, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 712, "edu_l1_label": "EDU_O"}, {"txt": "Table 10: FID comparison where distance metric is cosine similarity for MADA.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17800000, "bbox": [[0.235, 0.101, 0.762, 0.118]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 713, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.241, 0.127, 0.755, 0.235]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 0, "global_sentence_id": 714, "edu_l1_label": "EDU_O"}, {"txt": "L SELECTION OF OTHER DISTANCE METRIC", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18000000, "bbox": [[0.177, 0.264, 0.189, 0.282], [0.209, 0.264, 0.55, 0.281]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 715, "edu_l1_label": "EDU_O"}, {"txt": "Table 10 provide the FID performance of PRISM when using cosine similarity instead of hamming distance for MADA.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18100000, "bbox": [[0.176, 0.297, 0.824, 0.313], [0.176, 0.311, 0.311, 0.326]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 716, "edu_l1_label": "IOS"}, {"txt": "PRISM with cosine similarity achieves competitive performance compared to the scheme using Hamming distance in most cases.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18100000, "bbox": [[0.311, 0.311, 0.824, 0.326], [0.176, 0.325, 0.51, 0.34]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 717, "edu_l1_label": "EDU_O"}, {"txt": "Although the performance degrades for CelebA in the non-IID scenario, it still outperforms all baseline methods, further demonstrating the robustness of the approach.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18100000, "bbox": [[0.51, 0.325, 0.824, 0.34], [0.176, 0.339, 0.824, 0.354], [0.176, 0.353, 0.314, 0.368]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 718, "edu_l1_label": "EDU_O"}, {"txt": "M THE EFFECT OF MASKING MECHANISM", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18200000, "bbox": [[0.177, 0.389, 0.194, 0.407], [0.215, 0.389, 0.54, 0.406]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 719, "edu_l1_label": "IOS"}, {"txt": "Table 11: Effect of mask selection on MNIST.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18300000, "bbox": [[0.35, 0.428, 0.65, 0.441]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 5, "global_sentence_id": 720, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18400000, "bbox": [[0.236, 0.459, 0.757, 0.523]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 721, "edu_l1_label": "EDU_O"}, {"txt": "In Table 11, we compare the effect of the mask extraction algorithm on generative model training. For this, we relied on prior studies on the existence of SLT and the convergence of MMD with a characteristic kernel [46, 14]. Our results empirically show SLT’s convergence under mask aver-aging generative FL setting. We also explore the Random and Top-k% algorithms. The Bernoulli method employed in PRISM outperformed top-k%, while Random and Weight represent the lower and upper bounds of performance achievable by SLT, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18500000, "bbox": [[0.173, 0.545, 0.827, 0.632]]}]}, "tags": ["table_caption"], "label": "content", "web_segment_id": 9, "global_sentence_id": 722, "edu_l1_label": "IOS"}, {"txt": "NEVALUATION ON THE CENTRALIZED SETTING", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18600000, "bbox": [[0.177, 0.65, 0.592, 0.667]]}]}, "tags": ["title"], "label": "O", "web_segment_id": 7, "global_sentence_id": 723, "edu_l1_label": "EDU_O"}, {"txt": "Table 12: Comparison of PRISM with centralized setting.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18700000, "bbox": [[0.311, 0.69, 0.689, 0.702]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 8, "global_sentence_id": 724, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18800000, "bbox": [[0.239, 0.719, 0.757, 0.833]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 725, "edu_l1_label": "EDU_O"}, {"txt": "In Table 12, we report the results of models trained under FL vs. vanilla (centralized data) setups.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18900000, "bbox": [[0.176, 0.855, 0.824, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 726, "edu_l1_label": "IOS"}, {"txt": "PRISM shows performance degradation due to privacy, data heterogeneity, and communication overhead in FL settings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18900000, "bbox": [[0.176, 0.868, 0.824, 0.884], [0.176, 0.882, 0.308, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 727, "edu_l1_label": "IOS"}, {"txt": "However, centralized training is not applicable in scenarios where distributed samples cannot be shared, which is the primary focus of our work.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18900000, "bbox": [[0.308, 0.882, 0.824, 0.897], [0.176, 0.896, 0.613, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 728, "edu_l1_label": "IOS"}, {"txt": "Therefore, our original submission did not include this comparison, consistent with existing FL research.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18900000, "bbox": [[0.613, 0.896, 0.824, 0.911], [0.176, 0.91, 0.66, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 729, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19000000, "bbox": [[0.492, 0.95, 0.507, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 730, "edu_l1_label": "EDU_O"}, {"txt": "OADDITIONAL RESULTS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19100000, "bbox": [[0.177, 0.102, 0.398, 0.119]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 5, "global_sentence_id": 731, "edu_l1_label": "BOS"}, {"txt": "O.1DIFFERENT RANDOM INITIALIZATION OR SEED", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19200000, "bbox": [[0.177, 0.133, 0.542, 0.148]]}]}, "tags": ["text"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 732, "edu_l1_label": "EDU_O"}, {"txt": "Table 13: Quantitative performance of PRISM across different random seeds on the MNIST dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19300000, "bbox": [[0.171, 0.161, 0.82, 0.176]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 7, "global_sentence_id": 733, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19400000, "bbox": [[0.27, 0.192, 0.727, 0.33]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 734, "edu_l1_label": "EDU_O"}, {"txt": "PRISM learns a binary mask over frozen, randomly initialized weights. One might argue that the way model parameters are initialized can signifcantly impact performance. To validate the robustness of PRISM, we present quantitative performance across various random seeds using the MNIST dataset in Table 13. Note that the random seed 30 in the frst row of each table corresponds to the default confgurations described in Section 5 and all of experimental setup is identical to Section 5.1 and Section 5.2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19500000, "bbox": [[0.175, 0.348, 0.829, 0.432]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 9, "global_sentence_id": 735, "edu_l1_label": "EDU_O"}, {"txt": "O.2ABLATION STUDY ON THE LEARNING RATE FOR BASELINES", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19600000, "bbox": [[0.176, 0.448, 0.634, 0.462]]}]}, "tags": ["table_caption"], "label": "title2", "web_segment_id": 10, "global_sentence_id": 736, "edu_l1_label": "EDU_O"}, {"txt": "Table 14: Baseline’s FID performance for adjusting learning rate using MNIST dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19700000, "bbox": [[0.212, 0.476, 0.785, 0.491]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 3, "global_sentence_id": 737, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19800000, "bbox": [[0.207, 0.507, 0.794, 0.593]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 1, "global_sentence_id": 738, "edu_l1_label": "EDU_O"}, {"txt": "In this section, we present the additional experiments to validate the fairness of our entire experiments. In Table 14, we sweep learning rates for GS-WGAN and DP-FedAvgGAN and a FID performance on MNIST dataset with Non-IID and privacy-preserving scenario. Since they utilize GANs, there are separate learning rates for the generator and discriminator, and we examined these combinations. In the tables below, the top row represents the discriminator’s lr / generator’s lr, while thesubsequent row reports the FID scores. Due to the notorious instability of GAN training caused by the coupled learning dynamics between the generator and discriminator, we observed divergence in some settings. For GS-WGAN, the best performance was achieved with 1e-4 / 1e-5, but it still failed to generate MNIST images properly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 19900000, "bbox": [[0.174, 0.61, 0.828, 0.737]]}]}, "tags": ["table_caption"], "label": "content", "web_segment_id": 8, "global_sentence_id": 739, "edu_l1_label": "IOS"}, {"txt": "PCONTEXTUALIZE THE PRACTICAL SCENARIOS", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20000000, "bbox": [[0.177, 0.754, 0.589, 0.771]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 740, "edu_l1_label": "BOS"}, {"txt": "Federated learning (FL) is commonly motivated by real-world scenarios such as healthcare, fnance, and mobile devices, where direct data sharing is infeasible due to privacy concerns.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20100000, "bbox": [[0.176, 0.785, 0.824, 0.801], [0.176, 0.799, 0.74, 0.814]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 741, "edu_l1_label": "EDU_O"}, {"txt": "In this context, our work does not aim to generate private data directly but instead focuses on enabling stable and effective generative modeling under these constraints.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20100000, "bbox": [[0.74, 0.799, 0.824, 0.814], [0.176, 0.813, 0.824, 0.828], [0.176, 0.827, 0.549, 0.842]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 742, "edu_l1_label": "EDU_O"}, {"txt": "For instance, in healthcare, PRISM allows multiple institutions to collaboratively train generative models without sharing sensitive patient data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20100000, "bbox": [[0.549, 0.827, 0.824, 0.842], [0.176, 0.841, 0.824, 0.856]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 743, "edu_l1_label": "EDU_O"}, {"txt": "The resulting models can facilitate privacy-preserving synthetic data generation, imputation of missing medical records, data augmentation for low-data scenarios, and solving inverse problems such as denoising and reconstruction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20100000, "bbox": [[0.176, 0.855, 0.824, 0.87], [0.176, 0.868, 0.824, 0.884], [0.176, 0.882, 0.389, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 744, "edu_l1_label": "EDU_O"}, {"txt": "Similarly, in mobile devices, PRISM enables decentralized training of generative models while preserving user privacy, which can enhance personalized content generation and user-specifc data augmentation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20100000, "bbox": [[0.389, 0.882, 0.824, 0.897], [0.176, 0.896, 0.824, 0.911], [0.176, 0.91, 0.487, 0.925]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 745, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 20200000, "bbox": [[0.492, 0.95, 0.508, 0.959]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 746, "edu_l1_label": "EDU_O"}], "type": "PDF"}
# PRISM:PRIVACY-PRESERVING IMPROVED STOCHASTICMASKINGFORFEDERATED GENERATIVE MODELS ## ABSTRACT ## 1INTRODUCTION ## 2RELATED WORK ### Federated learning for classifcation models. ### Federated learning for generative models with privacy consideration. ## 3BACKGROUND ### 3.1STRONG LOTTERY TICKETS ### 3.2DIFFERENTIAL PRIVACY ## 4METHOD ### 4.1PRISM : PRIVACY-PRESERVING IMPROVED STOCHASTIC MASKING #### Local score updates with MMD loss. #### Binary mask generation and aggregation. #### Model initialization for storage effciency. ### 4.2PRIVACY ### 4.3MASK-AWARE DYNAMIC MOVING AVERAGE AGGREGATION ### 4.4TRADING-OFF BETWEEN PERFORMANCE AND COMMUNICATION COST ## 5EXPERIMENTS ### 5.1IID CASE ### 5.2NON-IID CASE ### 5.3 PERFORMANCE WITHOUT DIFFERENTIAL PRIVACY ### 5.4 EFFECT OF DYNAMIC MOVING AVERAGE AGGREGATION ### 5.5RESOURCE EFFICIENCY AT INFERENCE TIME ## 6 CONCLUSION ## AAPPENDIX ### APRIVACY ### BPRIVACY AMPLIFIED SCENARIO ### CTRAINING DETAILS ### DDATASET PARTITIONING STRATEGIES ACROSS CLIENTS #### IID setup. #### Non-IID setup (Shards-partitioned). #### Non-IID setup (Dirichlet-partitioned). ### EEFFICIENT STORAGE AND QUANTIZATION STRATEGY IN PRISM ### FANALYSIS OF HYBRID AGGREGATION ### G COMMUNICATION COST DURING DOWNLINK PROCESS ### HCROSS-DEVICE ENVIRONMENTS ### IANALYSIS OF CONVERGENCE OF λ IN MADA ### JCOMPUTATION COST ANALYSIS ### KSCALABILITY OF PRISM #### K.1EXTEND TO DIFFUSION MODEL #### K.2EVALUATION ON LARGE-SCALE DATASETS ### L SELECTION OF OTHER DISTANCE METRIC ### M THE EFFECT OF MASKING MECHANISM ### NEVALUATION ON THE CENTRALIZED SETTING ### OADDITIONAL RESULTS #### O.1DIFFERENT RANDOM INITIALIZATION OR SEED #### O.2ABLATION STUDY ON THE LEARNING RATE FOR BASELINES ### PCONTEXTUALIZE THE PRACTICAL SCENARIOS
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{"entry_id": "0164e41c-25db-44d9-84d0-56eacd22dc78", "infos": [{"txt": "LVC:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.114, 0.134, 0.17, 0.148]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 0, "edu_l1_label": "BOT"}, {"txt": " A Lightweight Compression Framework for Enhancing VLMs in Long", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.17, 0.134, 0.883, 0.15]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "Video Understanding", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.392, 0.157, 0.606, 0.174]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 2, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, 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"web_segment_id": 10, "global_sentence_id": 11, "edu_l1_label": "EDU_O"}, {"txt": "Abstract", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.252, 0.364, 0.324, 0.376]]}]}, "tags": ["title"], "label": "abstract", "web_segment_id": 11, "global_sentence_id": 12, "edu_l1_label": "BOS"}, {"txt": "Long video understanding is a complex task that requires both spatial detail and temporal awareness.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.092, 0.397, 0.484, 0.74]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 12, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "While Vision-Language Models (VLMs) obtain frame-level understand-ing capabilities through multi-frame input, they suffer from information loss due to the sparse sampling strategy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.092, 0.397, 0.484, 0.74]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 12, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "In contrast,Video Large Language Models (Video-LLMs) cap-ture temporal relationships within visual features but are limited by the scarcity of high-quality video-text datasets.To transfer long video understanding capabilities to VLMs with minimal data and computational cost,we propose Lightweight Video Compression (LVC), a novel method fea-turing the Query-Attention Video Compression mechanism,which effectively tackles the sparse sampling problem in VLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.092, 0.397, 0.484, 0.74]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 12, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "By training only the alignment layer with 10k short video-text pairs, LVC significantly enhances the temporal reasoning abilities of VLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.092, 0.397, 0.484, 0.74]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 12, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "Extensive experiments show that LVC provides consistent performance improvements across various models, including the InternVL2 series and Phi-3.5-Vision.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.092, 0.397, 0.484, 0.74]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 12, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "Notably, the InternVL2-40B-LVC achieves scores of 68.2 and 65.9 on the long video understanding benchmarks MLVU and Video-MME, respectively, with rel-ative improvements of$14.6\\%$and $7.7\\%$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.092, 0.397, 0.484, 0.74]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 12, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "The enhanced mod-els and code will be publicly available soon.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 800000, "bbox": [[0.092, 0.397, 0.484, 0.74]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 12, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "1.Introduction", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.096, 0.775, 0.22, 0.787]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 13, "global_sentence_id": 20, "edu_l1_label": "BOS"}, {"txt": "The rapid advancement of large language models (LLMs)has driven a paradigm shift in video understanding re-search, transitioning from conventional vision-centric ap-proaches [4,11,41,43] to LLM-based frameworks that leverage cross-modal alignment capabilities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.095, 0.802, 0.482, 0.812], [0.095, 0.818, 0.481, 0.826], [0.094, 0.835, 0.481, 0.842], [0.095, 0.85, 0.48, 0.856], [0.095, 0.863, 0.395, 0.871]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "This LLM-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.395, 0.863, 0.481, 0.872]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "*Corresponding author.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.112, 0.89, 0.237, 0.898]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 15, "global_sentence_id": 23, "edu_l1_label": "EDU_O"}, {"txt": "driven revolution manifests in two predominant architec-tures:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.517, 0.367, 0.904, 0.375], [0.517, 0.383, 0.556, 0.391]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": " Video-LLMs [3,16,23] pre-trained on video-text-paired data and VLMs [8,17,44] centered on image-text alignment [19,25].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.556, 0.383, 0.904, 0.39], [0.518, 0.4, 0.904, 0.406], [0.517, 0.414, 0.645, 0.42]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "Video-LLMs establish video-text alignment [15,35],projecting sequential frame features into LLM's text space.While Video-LLMs demonstrate superior temporal aware-ness through video pre-training, their practical implementa-tion faces two key bottlenecks:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.538, 0.43, 0.905, 0.439], [0.518, 0.448, 0.905, 0.453], [0.519, 0.46, 0.904, 0.468], [0.518, 0.478, 0.905, 0.482], [0.517, 0.492, 0.721, 0.499]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": " limited availability of high-quality video-text datasets [31, 32] and expensive com-putational costs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.721, 0.492, 0.904, 0.499], [0.518, 0.508, 0.904, 0.511], [0.518, 0.523, 0.632, 0.529]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "In contrast, by processing temporally sampled frames as discrete visual inputs, VLMs demon-strate surprising competence in short video understanding tasks [5,20,50].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.632, 0.523, 0.904, 0.532], [0.518, 0.539, 0.904, 0.542], [0.518, 0.552, 0.903, 0.562], [0.518, 0.567, 0.634, 0.574]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "Their strong spatial reasoning abilities,derived from large image-text datasets [10,26,33,37,38],enable them to match or even surpass specialized video ar-chitectures in tasks like temporal grounding [13,15,35]and video captioning [6,27].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.634, 0.567, 0.906, 0.575], [0.518, 0.581, 0.905, 0.59], [0.517, 0.598, 0.904, 0.604], [0.517, 0.612, 0.903, 0.62], [0.518, 0.628, 0.68, 0.635]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "However, the sparse sampling strategy faces challenges when dealing with long videos.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.537, 0.644, 0.904, 0.653], [0.518, 0.662, 0.726, 0.668]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "The limited context length of LLMs restricts the number of sampled frames, caus-ing significant information loss and impairing the ability to capture fine-grained details in the video.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.726, 0.662, 0.904, 0.669], [0.517, 0.677, 0.903, 0.682], [0.518, 0.691, 0.904, 0.698], [0.518, 0.706, 0.792, 0.713]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "To address this,Video-LLMs have introduced memory [14,40] or compres-sion modules [35,48].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.792, 0.706, 0.905, 0.714], [0.518, 0.72, 0.904, 0.725], [0.518, 0.737, 0.668, 0.743]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "However, most of these approaches rely heavily on large-scale pre-training or fine-tuning, fail-ing to effectively utilize the existing capabilities of VLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.668, 0.737, 0.904, 0.744], [0.517, 0.752, 0.904, 0.756], [0.517, 0.765, 0.9, 0.774]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "Our key insight is that current VLMs already possess frame-level understanding capabilities required for video tasks, but the sparse sampling strategy fails to provide suf-ficient perceptual information and temporal modeling ca-pabilities.Short video segments, containing enough motion cues, establish a temporal baseline that enables the model to acquire temporal awareness.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.537, 0.783, 0.904, 0.792], [0.517, 0.799, 0.9, 0.807], [0.518, 0.814, 0.905, 0.819], [0.518, 0.828, 0.904, 0.836], [0.518, 0.846, 0.904, 0.852], [0.518, 0.861, 0.904, 0.867], [0.518, 0.876, 0.705, 0.882]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "This temporal knowledge can then be transferred to long video understanding, providing a", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.705, 0.876, 0.904, 0.883], [0.517, 0.889, 0.904, 0.898]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.494, 0.925, 0.506, 0.939]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 20, "global_sentence_id": 36, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.118, 0.086, 0.905, 0.331]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 1, "global_sentence_id": 37, "edu_l1_label": "EDU_O"}, {"txt": "Figure 1. Comparison examples of InternVL2-40B and InternVL2-40B-LVC. Red text indicates errors in InternVL2-40B caused by its sparse sampling strategy failing to capture temporal details, while green text highlights corrections made by InternVL2-40B-LVC.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.092, 0.347, 0.906, 0.372]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 38, "edu_l1_label": "EDU_O"}, {"txt": "robust solution without the need for large-scale pre-training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.094, 0.405, 0.482, 0.411]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "Building on this insight, we propose Lightweight Video Compression(LVC), which introduces the novel parameter-free Query-Attention Video Compression mechanism.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.115, 0.42, 0.481, 0.429], [0.095, 0.436, 0.48, 0.445], [0.095, 0.451, 0.45, 0.46]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "This mechanism transforms discrete sampled features into con-tinuous dynamic representations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.45, 0.451, 0.48, 0.46], [0.104, 0.469, 0.481, 0.475], [0.095, 0.482, 0.323, 0.49]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "Guided by the input query,LVC extracts key information from long videos, pro-viding a more complete video representation while sup-pressing irrelevant details.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.323, 0.482, 0.481, 0.491], [0.095, 0.499, 0.482, 0.503], [0.095, 0.514, 0.481, 0.521], [0.095, 0.528, 0.27, 0.535]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "By training only the alignment layer of VLMs (approximately 100M parameters), LVC successfully evolves VLMs into video understanding mod-els, fully leveraging the capabilities of VLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.27, 0.528, 0.48, 0.535], [0.095, 0.541, 0.48, 0.551], [0.095, 0.559, 0.48, 0.565], [0.094, 0.573, 0.407, 0.58]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "The LVC-enhanced VLMs achieve consistent relative improvements on the long video understanding benchmarks, MLVU and Video-MME.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.407, 0.573, 0.481, 0.578], [0.095, 0.589, 0.48, 0.595], [0.095, 0.604, 0.48, 0.611], [0.095, 0.617, 0.185, 0.626]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "Compared to Video-LLMs,which rely on millions of image-text pairs and hundreds of thousands of video-text pairs for pre-training [15,39] and even more [7],LVC only requires 10k video pairs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.185, 0.617, 0.48, 0.626], [0.095, 0.635, 0.481, 0.641], [0.095, 0.65, 0.482, 0.657], [0.095, 0.662, 0.33, 0.671]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "Moreover, InternVL2-8B-LVC can be trained on a single H100-80G GPU in 5 hours, offering a low-cost and efficient path to high-performance video understanding models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.33, 0.662, 0.482, 0.669], [0.095, 0.679, 0.48, 0.687], [0.095, 0.693, 0.48, 0.701], [0.095, 0.71, 0.379, 0.716]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "In conclusion,our main contributions are as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.379, 0.71, 0.481, 0.717], [0.094, 0.725, 0.342, 0.73]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "·Parameter-free Query-Attention Video Compres-sion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.113, 0.742, 0.481, 0.749], [0.127, 0.758, 0.161, 0.765]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "We propose a query-guided video dynamic rep-resentation method that enhances the temporal aware-ness of VLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.161, 0.758, 0.48, 0.765], [0.127, 0.773, 0.481, 0.78], [0.127, 0.789, 0.226, 0.795]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "It is a plug-and-play approach compat-ible with any VLMs that process videos as sequences of image frames.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.226, 0.789, 0.481, 0.792], [0.127, 0.802, 0.48, 0.811], [0.127, 0.819, 0.238, 0.826]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "·A lightweight framework for long video under-standing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.113, 0.845, 0.481, 0.852], [0.127, 0.859, 0.195, 0.867]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "We propose a lightweight framework for converting VLMs into video models.By training only the alignment layer with only 10k short videos,the", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.195, 0.859, 0.481, 0.867], [0.127, 0.876, 0.48, 0.884], [0.127, 0.889, 0.48, 0.898]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "frame-level image-text understanding capabilities of VLMs are fully leveraged for long video understand-ing tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.55, 0.402, 0.904, 0.411], [0.55, 0.417, 0.905, 0.424], [0.55, 0.433, 0.614, 0.442]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "·LVC-enhanced models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.536, 0.455, 0.72, 0.461]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "We introduce InternVL2-8B/26B/40B-LVC and Phi-3.5-Vision-LVC (4B), con-sistently enhancing VLMs' performance on zero-shot long video understanding benchmarks MLVU and Video-MME.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.72, 0.455, 0.905, 0.458], [0.55, 0.468, 0.904, 0.476], [0.549, 0.484, 0.904, 0.491], [0.549, 0.499, 0.902, 0.506], [0.55, 0.515, 0.673, 0.521]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "Specifically, InternVL2-40B-LVC achieve scores of 68.2 and 65.9 on these bench-marks, with relative improvements of 14.6% and 7.7%.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.673, 0.515, 0.902, 0.521], [0.55, 0.53, 0.904, 0.536], [0.551, 0.545, 0.903, 0.551], [0.55, 0.557, 0.592, 0.567]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "Notably, InternVL2-40B-LVC surpass GPT-40on MLVU.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.592, 0.557, 0.904, 0.567], [0.55, 0.575, 0.621, 0.582]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "2.Related Work", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.517, 0.6, 0.653, 0.611]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 9, "global_sentence_id": 58, "edu_l1_label": "BOS"}, {"txt": "2.1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.518, 0.625, 0.547, 0.635]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 10, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "Vision-Language Models", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.547, 0.625, 0.739, 0.635]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 10, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "VLMs aim to perform languaged-based tasks using in-formation from the visual modality.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.518, 0.647, 0.904, 0.656], [0.517, 0.662, 0.769, 0.67]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "Early VLMs [34]adopt contrastive learning to align vision and language em-beddings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.769, 0.662, 0.903, 0.672], [0.518, 0.68, 0.904, 0.683], [0.518, 0.693, 0.584, 0.701]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "With the rapid development of LLMs, VLMs have evolved to utilize LLMs' capabilities to tackle com-plex vision-language tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.584, 0.693, 0.904, 0.701], [0.518, 0.708, 0.904, 0.715], [0.518, 0.725, 0.702, 0.731]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "These models mainly consist of three main components: a vision encoder, a modality alignment module, and an LLM backbone such as [9,42].Modality alignment strategies range from simple linear pro-jection [25,44,56] to more complex approaches such as a Q-Former module with learnable queries [19] or cross-attention mechanisms [2,45].These models typically un-dergo large-scale pre-training and instruction tuning on ex-tensive image-text corpora [21,25],yielding strong per-formance across a variety of vision-language benchmarks.Furthermore, [8,44] unifies single-image, multi-image,and video data, achieving significant improvements in multi-", "language": "english", 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2500000, "bbox": [[0.095, 0.097, 0.177, 0.104]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "2.2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.095, 0.119, 0.124, 0.13]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 2, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "Video Large Language Models", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.124, 0.119, 0.36, 0.131]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 2, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "Since LLMs rapidly become a research hotspot, many works connect LLMs with visual encoders, leveraging LLMs' language understanding and generation capabilities for video tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.095, 0.143, 0.48, 0.154], [0.095, 0.161, 0.48, 0.169], [0.095, 0.173, 0.48, 0.182], [0.095, 0.189, 0.196, 0.197]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "Early works, such as [20], use a video trans-former as the encoder, followed by a Q-Former to compress video features.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.196, 0.189, 0.482, 0.194], [0.095, 0.204, 0.48, 0.213], [0.095, 0.221, 0.198, 0.227]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "Later, Video-LLMs tend to utilize a pre-trained visual encoder to process a fixed number of sampled frames.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.198, 0.221, 0.48, 0.227], [0.095, 0.235, 0.48, 0.242], [0.095, 0.249, 0.146, 0.257]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "[31, 32] employ a frozen vision transformer, and [23] leverages [55] for pre-aligning visual features.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.146, 0.249, 0.48, 0.258], [0.095, 0.263, 0.444, 0.272]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "Sub-sequently, Video-LLMs incorporate compression modules to process more input frames within the LLM's context length.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.444, 0.263, 0.48, 0.272], [0.095, 0.282, 0.48, 0.288], [0.095, 0.295, 0.482, 0.302], [0.095, 0.31, 0.141, 0.318]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "[3,51] use pooling to compress visual tokens,[35]adopts a two-layer Q-Former, and [16] applies spatiotem-poral clustering.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.141, 0.31, 0.48, 0.32], [0.095, 0.326, 0.48, 0.332], [0.095, 0.342, 0.205, 0.348]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "As compression module designs evolve,[39] introduces visual summarization tokens, while [30] im-plements a scale-then-compress strategy.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.205, 0.342, 0.483, 0.349], [0.095, 0.354, 0.48, 0.364], [0.095, 0.372, 0.364, 0.379]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "These approaches rely on large-scale video datasets and multi-stage training of compression modules, alignment layers, and LLMs, trading training and data costs for performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.364, 0.372, 0.48, 0.379], [0.094, 0.387, 0.48, 0.394], [0.095, 0.402, 0.48, 0.41], [0.095, 0.416, 0.355, 0.423]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "2.3.Long Video Understanding", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.095, 0.441, 0.333, 0.453]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "Long video understanding faces challenges as high infor-mation density conflicts with LLMs' limited context win-dows.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.094, 0.463, 0.482, 0.469], [0.099, 0.481, 0.481, 0.485], [0.095, 0.494, 0.136, 0.502]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "One approach is hierarchical processing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.136, 0.494, 0.416, 0.503]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "[24] uses scene detection for video clipping and then employs GPT-4V to understand clip-level video.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.416, 0.494, 0.48, 0.503], [0.095, 0.511, 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"IOS"}, {"txt": "General video understanding tasks can be formulated as:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.093, 0.812, 0.484, 0.9]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "given a video $v$ and a textual query $q$, the goal is to pre-dict a textual answer $y$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.093, 0.812, 0.484, 0.9]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "VLMs process the video into $N$ sampled frames$f_{1},f_{2},\\cdots ,f_{N}$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.093, 0.812, 0.484, 0.9]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "The length of visual feature tokens must account for the window size limitation of the LLM backbone.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.093, 0.812, 0.484, 0.9]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "Therefore, in typical VLMs,$N$is generally", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.093, 0.812, 0.484, 0.9]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "set to smaller values, such as 8 or 16 [8, 25].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.516, 0.094, 0.906, 0.179]]}]}, 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we propose the Query-Attention Video Compres-sion mechanism, which leverages the text modality to retain essential information needed for video understanding.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.435, 0.723, 0.482, 0.726], [0.094, 0.736, 0.48, 0.743], [0.094, 0.753, 0.48, 0.759], [0.095, 0.768, 0.447, 0.774]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "Specifically,the densely sampled frames are processed through a Vision Transformer and alignment layer to obtain the visual features $V$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.093, 0.782, 0.484, 0.837]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": "Based on the compression ratio, a window length $w$ is set, and $V$ is sliced as:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.093, 0.782, 0.484, 0.837]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": "$$\\boldsymbol {V}=\\left[\\boldsymbol {V}_{1},\\boldsymbol {V}_{2},\\cdots ,\\boldsymbol {V}_{M^{\\prime }t}\\right],\\boldsymbol {V}_{i}\\in \\mathbb {R}^{wxd^{\\prime }},i=1,\\cdots ,M^{\\prime }t.$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.107, 0.869, 0.467, 0.888]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 8, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "(3)", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.461, 0.889, 0.481, 0.898]]}]}, "tags": ["text"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "$\\boldsymbol {V}_{i}$represents the local video features, where the video is divided into windows to ensure that the temporal infor-mation of the video is preserved.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.516, 0.514, 0.906, 0.572]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "$M^{\\prime }=M/$represents the number of pseudo-image frames after compression.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.516, 0.514, 0.906, 0.572]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "The textual query $b$ with length $l$ is passed through a Text Embedding layer to obtain the query features$\\boldsymbol {Q}\\in \\mathbb {R}^{x^{\\prime }}$and then the token dimension is averaged to derive the sentence-level query feature:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.516, 0.576, 0.906, 0.633]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "$$\\overline {\\boldsymbol {Q}}=\\frac {1}{l}\\sum _{j=1}^{l}\\boldsymbol {Q}_{j},\\boldsymbol {Q}_{j}\\in \\mathbb {R}^{d^{\\prime }}\\tag{4}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.622, 0.648, 0.906, 0.688]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 12, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "The query feature$\\bar {Q}$ is integrated into $V$ by generating weights,which are then used to modulate the visual fea-tures:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.516, 0.696, 0.906, 0.736]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "$$\\boldsymbol {W}_{i}=\\text {Softmax}\\left(\\frac {\\overline {\\boldsymbol {Q}}\\boldsymbol {V}_{i}^{\\top }}{\\sqrt {d^{\\prime }}}\\right)\\in \\mathbb {R}^{w}\\tag{5}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.578, 0.761, 0.906, 0.8]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": "$$\\boldsymbol {V}_{i}^{\\prime }=\\sum _{k=0}^{w}\\left(\\boldsymbol {W}_{i}\\odot \\boldsymbol {V}_{i}\\right)^{(k)}\\in \\mathbb {R}^{d^{\\prime }}\\tag{6}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": 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"position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.093, 0.092, 0.484, 0.165]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 140, "edu_l1_label": "IOS"}, {"txt": "Additionally, we observe that the multi-head mecha-nism introduces more multi-modal weight information in the compression process.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.114, 0.17, 0.48, 0.179], [0.094, 0.188, 0.48, 0.194], [0.095, 0.201, 0.266, 0.208]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "The pseudo-code for our com-plete compression mechanism is provided in the supple-mentary material.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.266, 0.201, 0.48, 0.208], [0.094, 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"global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "Dataset and Benchmarks", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.122, 0.282, 0.313, 0.293]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "Video-ChatGPT [32] is a commonly used instruction-tuning dataset for general video understanding tasks, con-taining 13,303 videos and 100,010 video-text pairs, an-notated using a combination of human-assisted and semi-automatic methods.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.095, 0.305, 0.482, 0.312], [0.095, 0.322, 0.48, 0.329], [0.095, 0.337, 0.483, 0.342], [0.095, 0.352, 0.483, 0.357], [0.094, 0.368, 0.227, 0.374]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "The average duration of the videos is 117s (short videos).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.227, 0.368, 0.48, 0.374], [0.095, 0.381, 0.248, 0.39]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 148, "edu_l1_label": "IOS"}, {"txt": "In our experiments, we randomly selected 10,000 pairs as a subset Video-ChatGPT-10K to train the alignment layer of VLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.248, 0.381, 0.48, 0.39], [0.095, 0.398, 0.48, 0.404], [0.095, 0.413, 0.327, 0.419]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": "Ablation studies on the data show that LVC is not a data-driven method,which sig-nificantly distinguishes it from the pre-training paradigm.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.327, 0.413, 0.48, 0.42], [0.095, 0.426, 0.481, 0.436], [0.095, 0.443, 0.47, 0.449]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "MLVU [54] is a multi-task long video understanding benchmark.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.092, 0.456, 0.484, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "We evaluate LVC on the multiple-choice ques-tions $\\left(MLVU_{M}\\right)$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.092, 0.456, 0.484, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "The average length of videos is about 15minutes, ranging from 3 minutes to 2 hours.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.092, 0.456, 0.484, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "LVC achieved comprehensive improvements across seven sub-tasks,in-cluding action order, action count, topic reasoning,anomaly recognition, plot QA, ego reasoning, and needle QA.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.092, 0.456, 0.484, 0.556]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "Video-MME [12]contains 900 videos and 2700 high-quality annotations of multiple-choice questions,includ-ing short (0-2 minutes), medium (4-15 minutes),and long videos (30-60 minutes).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.114, 0.561, 0.481, 0.57], [0.094, 0.58, 0.483, 0.583], [0.095, 0.593, 0.48, 0.602], [0.095, 0.609, 0.253, 0.616]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "We evaluate the VLMs before and after enhancement with LVC without subtitles, as the sam-pled video frames contain more subtitles compared to the input frames of the VLMs, ensuring a fair comparison.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.253, 0.609, 0.48, 0.616], [0.095, 0.624, 0.481, 0.631], [0.095, 0.64, 0.48, 0.646], [0.095, 0.653, 0.451, 0.662]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "4.2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.094, 0.676, 0.124, 0.686]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 8, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "Experimental Setup", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.124, 0.676, 0.279, 0.689]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 8, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "Table 1. Training parameters and total parameters of InternVL2-8/26/40B-LVC and Phi-3.5-Vision-LVC, along with correspond-ing training time and resources.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.092, 0.709, 0.483, 0.748]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 9, "global_sentence_id": 159, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.1, 0.763, 0.496, 0.84]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 10, "global_sentence_id": 160, "edu_l1_label": "EDU_O"}, {"txt": "We conduct all our experiments on the Video-ChatGPT-10K dataset, which is zero-shot with respect to the two benchmarks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.114, 0.858, 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"After compression, the number of pseudo-image frames is set to 2, 4, 8, and 16, allowing us to com-prehensively evaluate the performance of different models under varying input frame numbers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.623, 0.127, 0.904, 0.131], [0.517, 0.14, 0.9, 0.148], [0.518, 0.157, 0.904, 0.164], [0.517, 0.171, 0.752, 0.178]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 164, "edu_l1_label": "IOS"}, {"txt": "We conduct all our experiments by training only the alignment layer of the model, with the specific training parameters and total parameter count detailed in Table 1.From both the data and parameter perspectives, LVC is a lightweight approach.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.538, 0.186, 0.904, 0.195], [0.517, 0.203, 0.904, 0.211], [0.518, 0.219, 0.904, 0.225], [0.518, 0.232, 0.904, 0.241], [0.518, 0.247, 0.664, 0.255]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": "Additionally, since it does not fine-tune the LLM, LVC remains a plug-and-play method,en-suring compatibility with various VLM architectures.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.664, 0.247, 0.905, 0.253], [0.517, 0.263, 0.904, 0.27], [0.518, 0.278, 0.865, 0.285]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 166, "edu_l1_label": "IOS"}, {"txt": "4.3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.518, 0.304, 0.546, 0.313]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 14, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": "Results on InternVL2 Series", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.546, 0.304, 0.766, 0.314]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 14, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "Tables 2 and 3 provide a detailed report on the experimen-tal results of enhancing InternVL2 [8] across three model scales using the LVC method.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.518, 0.327, 0.904, 0.336], [0.518, 0.343, 0.904, 0.351], [0.518, 0.359, 0.719, 0.366]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "From these results, we can derive the following conclusions:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.719, 0.359, 0.903, 0.366], [0.517, 0.372, 0.734, 0.381]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.517, 0.388, 0.908, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "The LVC method enhances the long-video understand-ing capability of the InternVL2 model series at a min-imal cost by incorporating additional visual informa-tion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.517, 0.388, 0.908, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 172, "edu_l1_label": "IOS"}, {"txt": "On the MLVU benchmark, the three model scales achieve relative improvements of $9.6\\%$, ,$6.1\\%$and $14.6\\%$, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.517, 0.388, 0.908, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": "On the Video-MME bench-mark, the relative improvements are $2.6\\%$,$5.9\\%$,and $7.7\\%$,respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.517, 0.388, 0.908, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": "Notably, the InternVL2-8B-LVC outperforms the InternVL2-40B/76B models, while the InternVL2-40B-LVC surpasses GPT-4o on the MLVU benchmark.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.517, 0.388, 0.908, 0.553]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": "2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.517, 0.554, 0.534, 0.564]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 176, "edu_l1_label": "IOS"}, {"txt": "The InternVL2-40B-LVC achieved consistent improve-ments across both benchmarks and their respective sub-tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.534, 0.554, 0.905, 0.561], [0.538, 0.573, 0.905, 0.576], [0.538, 0.586, 0.578, 0.593]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": "This can be attributed to its larger scale and more high-quality pre-training data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.578, 0.586, 0.9, 0.593], [0.538, 0.603, 0.773, 0.609]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": "LVC effectively ad-dresses the information sparsity of VLMs in temporal reasoning by incorporating denser visual inputs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.773, 0.603, 0.905, 0.607], [0.538, 0.614, 0.904, 0.624], [0.538, 0.631, 0.851, 0.638]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.517, 0.645, 0.534, 0.654]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "The superior performance of LVC on MLVU compared to Video-MME can likely be attributed to the limited length of training data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.534, 0.645, 0.904, 0.654], [0.538, 0.662, 0.904, 0.669], [0.538, 0.676, 0.693, 0.684]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "The number of sampled frames during training is insufficient to represent the hour-long videos in Video-MME.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.693, 0.676, 0.904, 0.684], [0.538, 0.69, 0.903, 0.701], [0.538, 0.708, 0.695, 0.714]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "In contrast, MLVU videos ex-hibit a smaller variance in duration, predominantly rang-ing from 5 to 15 minutes, making them more effectively represented by 64 sampled frames.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.695, 0.708, 0.905, 0.711], [0.538, 0.721, 0.904, 0.73], [0.538, 0.737, 0.901, 0.747], [0.538, 0.754, 0.766, 0.76]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": "To the best of our knowledge, LVC is the first approach to enhance VLMs for long video understanding, introduc-ing a novel research direction distinct from Video-LLMs.Its core contribution lies in leveraging the high-quality pre-training of VLMs to improve temporal reasoning without requiring extensive video-specific pre-training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.537, 0.767, 0.904, 0.775], [0.518, 0.784, 0.904, 0.788], [0.518, 0.798, 0.905, 0.806], [0.518, 0.812, 0.904, 0.818], [0.517, 0.83, 0.904, 0.836], [0.517, 0.845, 0.824, 0.851]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": "LVC preserves the pseudo-image frame format, includ-ing visual feature dimensions and special tokens.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.537, 0.857, 0.904, 0.867], [0.517, 0.874, 0.859, 0.882]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 20, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "Since the windowing strategy along the token dimension allows", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.859, 0.874, 0.904, 0.883], [0.517, 0.89, 0.904, 0.898]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 20, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.494, 0.925, 0.506, 0.938]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 21, "global_sentence_id": 187, "edu_l1_label": "EDU_O"}, {"txt": "Table 2. Performance of InternVL2-8/26/40B-LVC on MLVU. TR, AR, NQA, ER, PQA, AC, AO represent the sub-tasks:topic reasoning,anomaly recognition, needle QA,ego reasoning, plot QA, action count, and action order. fps represents the number of frames sampled per second.$\\text {'}\\rightarrow 16\\text {'}$ indicates that the model maintains the same visual feature length before and after LVC enhancement for a fairer comparison.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.092, 0.092, 0.906, 0.13]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 1, "global_sentence_id": 188, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.14, 0.148, 0.859, 0.443]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 2, "global_sentence_id": 189, "edu_l1_label": "EDU_O"}, {"txt": "Table 3. Performance of InternVL2-8/26/40B-LVC on Video-MME.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.092, 0.468, 0.484, 0.493]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 3, "global_sentence_id": 190, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.096, 0.508, 0.496, 0.766]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 4, "global_sentence_id": 191, "edu_l1_label": "EDU_O"}, {"txt": "similar tokens to be aggregated through the query-attention mechanism, the compressed video features remain closely aligned with real image frames.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.094, 0.83, 0.48, 0.836], [0.095, 0.846, 0.48, 0.854], [0.095, 0.86, 0.3, 0.867]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "As a result, VLMs can learn the visual representation of pseudo-image frames solely through the alignment layer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.3, 0.86, 0.48, 0.867], [0.095, 0.874, 0.48, 0.884], [0.094, 0.889, 0.28, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": "4.4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.516, 0.472, 0.547, 0.482]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "Analyses on Input Frames", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.547, 0.472, 0.749, 0.481]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "Figure 3 demonstrates the performance improvements of the LVC method in enhancing InternVL2-8B/26B/40B at compression ratios of 32/16/8/4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.525, 0.495, 0.904, 0.504], [0.517, 0.51, 0.904, 0.52], [0.517, 0.527, 0.73, 0.533]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 196, "edu_l1_label": "IOS"}, {"txt": "Based on these results,we can draw the following conclusions:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.73, 0.527, 0.904, 0.534], [0.517, 0.542, 0.753, 0.549]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 197, "edu_l1_label": "IOS"}, {"txt": "1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.517, 0.555, 0.906, 0.645]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": "The LVC method provides consistent perforance im-provements across various compression ratios for differ-ent scales of InternVL2, with more significant improve-ments observed on MLVU.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.517, 0.555, 0.906, 0.645]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": "Specifically, InternVL2-40B achieved relative performance improvements of $27.9\\%$and $24.7\\%$ at fram$\\mathrm {m}=2/$,respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.517, 0.555, 0.906, 0.645]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 200, "edu_l1_label": "IOS"}, {"txt": "2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.516, 0.646, 0.535, 0.655]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 201, "edu_l1_label": "IOS"}, {"txt": "The performance improvement of LVC becomes more significant as the compression ratio increases.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.535, 0.646, 0.904, 0.655], [0.538, 0.664, 0.851, 0.67]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 202, "edu_l1_label": "IOS"}, {"txt": "This is because with fewer input frames, the amount of infor-mation available to the VLMs decreases.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.851, 0.664, 0.904, 0.67], [0.538, 0.677, 0.903, 0.685], [0.538, 0.694, 0.814, 0.701]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": "On the other hand, it also highlights LVC's ability to retain more in-formation even under high compression ratios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.814, 0.694, 0.904, 0.701], [0.538, 0.707, 0.905, 0.713], [0.538, 0.722, 0.842, 0.73]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.515, 0.736, 0.906, 0.838]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "The performance growth of models enhanced with LVC becomes more gradual as the input frame count in-creases.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.515, 0.736, 0.906, 0.838]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "For example, at fram$\\mathrm {e}=4/8/$16,the perfor-mance differences across InternVL2 models are rela-tively small.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.515, 0.736, 0.906, 0.838]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "This demonstrates the potential of LVC,as it is capable of providing rich and effective information even with a smallernumber of input frames.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.515, 0.736, 0.906, 0.838]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "In summary, LVC is a highly promising method for en-hancing VLMs under limited computational resources.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.537, 0.843, 0.904, 0.851], [0.517, 0.859, 0.881, 0.867]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": "By efficiently representing pseudo-image frames, it provides the visual information required for long video understand-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.881, 0.859, 0.904, 0.869], [0.517, 0.876, 0.904, 0.882], [0.517, 0.889, 0.904, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 210, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.493, 0.925, 0.506, 0.938]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 12, "global_sentence_id": 211, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.093, 0.09, 0.485, 0.27]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 1, "global_sentence_id": 212, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.099, 0.27, 0.482, 0.448]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 213, "edu_l1_label": "EDU_O"}, {"txt": "Figure 3. Performance comparison of InternVL2-8/26/40B before and after LVC enhancement on MLVU and Video-MME, with in-put frames set to 2/4/8/16. For LVC models, input frames refer to the numbers of pseudo-image frame after compression. Sampled frames are uniformly set to 64.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.092, 0.461, 0.484, 0.528]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 214, "edu_l1_label": "EDU_O"}, {"txt": "ing in VLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.094, 0.557, 0.185, 0.566]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 215, "edu_l1_label": "IOS"}, {"txt": "4.5.Ablation Studies", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.094, 0.58, 0.253, 0.59]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 216, "edu_l1_label": "IOS"}, {"txt": "Table 4. Data ablation experiment on InternVL2-8/26/40B with input frames set to 16. Origin represents the model's original per-formance, while Trained and LVC-trained indicate the results of training the model with the same data, without and with LVC, re-spectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.093, 0.611, 0.484, 0.677]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 6, "global_sentence_id": 217, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.097, 0.691, 0.497, 0.806]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 7, "global_sentence_id": 218, "edu_l1_label": "EDU_O"}, {"txt": "Data Ablation:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.095, 0.828, 0.2, 0.836]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 219, "edu_l1_label": "IOS"}, {"txt": " Table 4 presents the results of the data ab-lation study, where we compare the performance of the In-ternVL2 series models trained on Video-ChatGPT-10K with and without LVC.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.2, 0.828, 0.483, 0.834], [0.095, 0.843, 0.481, 0.849], [0.095, 0.86, 0.48, 0.867], [0.095, 0.876, 0.213, 0.882]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 220, "edu_l1_label": "IOS"}, {"txt": "Based on the comparison between Origin and Trained, we can conclude that the LVC method does", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.213, 0.876, 0.48, 0.883], [0.095, 0.891, 0.48, 0.898]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "Table 5. Component ablation results of InternVL2-8B. w/o multi-heads indicates the removal of the multi-head mechanism in LVC,while w/o query-attn removes the query influence, making it equivalent to average pooling.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.516, 0.092, 0.906, 0.143]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 9, "global_sentence_id": 222, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.519, 0.158, 0.922, 0.246]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 10, "global_sentence_id": 223, "edu_l1_label": "EDU_O"}, {"txt": "not achieve performance improvement through training on video data, but rather through its enhanced representation mechanism.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.517, 0.278, 0.904, 0.285], [0.517, 0.294, 0.904, 0.301], [0.517, 0.309, 0.598, 0.316]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": "The primary role of Video-ChatGPT-10K is to help the enhanced model understand pseudo-image frame represen-tations, as the model itself was not aligned with compressed visual features during its pre-training process.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.538, 0.321, 0.904, 0.331], [0.517, 0.34, 0.904, 0.345], [0.518, 0.354, 0.903, 0.361], [0.518, 0.369, 0.817, 0.376]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 225, "edu_l1_label": "IOS"}, {"txt": "Data Scale Ablation:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.517, 0.384, 0.676, 0.393]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 226, "edu_l1_label": "IOS"}, {"txt": " We add the performance of InternVL2-8B at different steps on the Video-ChatGPT10k dataset, as shown in the Figure 4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.676, 0.384, 0.904, 0.393], [0.518, 0.4, 0.903, 0.408], [0.518, 0.414, 0.751, 0.423]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "We can conclude that LVC achieves quite good performance with just a small-scale dataset (around 1000 steps), indicating fast adaptation speed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.751, 0.414, 0.904, 0.423], [0.517, 0.429, 0.904, 0.438], [0.518, 0.447, 0.904, 0.453], [0.518, 0.462, 0.56, 0.468]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 228, "edu_l1_label": "IOS"}, {"txt": "After 1000 steps, the long video understanding abil-ity grows slowly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.56, 0.462, 0.904, 0.468], [0.518, 0.475, 0.631, 0.483]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 229, "edu_l1_label": "IOS"}, {"txt": "We use 10k data as a balanced choice between perfor-mance and training cost, as well as for easy comparison ex-periments across different models and compression ratios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.538, 0.49, 0.904, 0.499], [0.517, 0.508, 0.905, 0.512], [0.518, 0.522, 0.897, 0.529]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 230, "edu_l1_label": "IOS"}, {"txt": "Component Ablation:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.518, 0.537, 0.672, 0.547]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 231, "edu_l1_label": "IOS"}, {"txt": " Table 5 presents the component ablation study, where we separately remove the Query-Attention Video Compression mechanism itself and the in-ternal multi-head mechanism.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.672, 0.537, 0.904, 0.547], [0.517, 0.554, 0.904, 0.561], [0.517, 0.568, 0.905, 0.574], [0.517, 0.583, 0.717, 0.591]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 232, "edu_l1_label": "IOS"}, {"txt": "The former is equivalent to average pooling.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.717, 0.583, 0.904, 0.592], [0.517, 0.6, 0.628, 0.606]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 233, "edu_l1_label": "IOS"}, {"txt": "Based on the results, we can draw the fol-lowing conclusions:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.628, 0.6, 0.904, 0.605], [0.517, 0.613, 0.647, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 234, "edu_l1_label": "IOS"}, {"txt": "1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.518, 0.629, 0.533, 0.637]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 235, "edu_l1_label": "IOS"}, {"txt": "The query provides multi-modal information and plays a guiding role in the video compression process of LVVC.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.533, 0.629, 0.904, 0.638], [0.538, 0.646, 0.896, 0.652]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 236, "edu_l1_label": "IOS"}, {"txt": "2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.517, 0.658, 0.534, 0.667]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": "The introduction of multi-heads increases the number of weights, from one per window to multiple per window,corresponding to the number of attention heads.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.534, 0.658, 0.904, 0.668], [0.538, 0.677, 0.904, 0.684], [0.538, 0.691, 0.868, 0.698]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 238, "edu_l1_label": "IOS"}, {"txt": "The finer-grained weighting has a positive correlation with performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.868, 0.691, 0.904, 0.698], [0.538, 0.705, 0.904, 0.713], [0.538, 0.722, 0.627, 0.729]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 239, "edu_l1_label": "IOS"}, {"txt": "3.Even with the removal of certain components, models enhanced with LVC still achieve performance improve-ments over the original models in long video understand-ing tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.516, 0.734, 0.904, 0.742], [0.538, 0.751, 0.904, 0.757], [0.538, 0.766, 0.905, 0.771], [0.538, 0.78, 0.606, 0.788]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 240, "edu_l1_label": "IOS"}, {"txt": "This is because the core advantage of LVC lies in compensating for the information loss in VLMs,which rely on sparsely sampled frames as multi-image inputs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.606, 0.78, 0.903, 0.789], [0.538, 0.795, 0.906, 0.804], [0.539, 0.811, 0.904, 0.819], [0.538, 0.826, 0.583, 0.834]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 241, "edu_l1_label": "IOS"}, {"txt": "4.6.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.518, 0.851, 0.546, 0.86]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 19, "global_sentence_id": 242, "edu_l1_label": "IOS"}, {"txt": "Results on Phi-3.5-Vision", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.546, 0.851, 0.74, 0.86]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 19, "global_sentence_id": 243, "edu_l1_label": "IOS"}, {"txt": "We select a smaller-scale model, Phi-3.5-Vision (4B) [1],and evaluate its performance before and after enhancement", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.518, 0.873, 0.905, 0.883], [0.516, 0.89, 0.904, 0.898]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 20, "global_sentence_id": 244, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.493, 0.925, 0.506, 0.938]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 21, "global_sentence_id": 245, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.095, 0.09, 0.486, 0.27]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 1, "global_sentence_id": 246, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.097, 0.27, 0.484, 0.45]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 247, "edu_l1_label": "EDU_O"}, {"txt": "Figure 4. Performance of InternVL2-8 on MLVU with LVC en-hancement at different training steps.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.092, 0.461, 0.481, 0.486]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 248, "edu_l1_label": "EDU_O"}, {"txt": "with the LVC method.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.094, 0.52, 0.243, 0.527]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 249, "edu_l1_label": "IOS"}, {"txt": "The results are shown in Figure 5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.243, 0.52, 0.467, 0.527]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 250, "edu_l1_label": "IOS"}, {"txt": "However, due to low dataset quality or incompatibility between the data and the model, directly training the model results in some performance degradation across both bench-marks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.119, 0.532, 0.481, 0.544], [0.094, 0.548, 0.48, 0.556], [0.094, 0.565, 0.48, 0.572], [0.095, 0.58, 0.142, 0.587]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 251, "edu_l1_label": "IOS"}, {"txt": "This phenomenon is also observed in InternVL2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.142, 0.58, 0.464, 0.587]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 252, "edu_l1_label": "IOS"}, {"txt": "From the figure, it can be observed that LVC achieves consistent improvements on MLVU, with an average im-provement of 5.4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.114, 0.593, 0.481, 0.602], [0.095, 0.611, 0.481, 0.617], [0.095, 0.626, 0.22, 0.632]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 253, "edu_l1_label": "IOS"}, {"txt": "Similarly, on Video-MME,LVC also demonstrates consistent improvements after excluding data influence, with an average improvement of 2.5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.22, 0.626, 0.48, 0.633], [0.1, 0.639, 0.48, 0.648], [0.095, 0.655, 0.413, 0.662]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 254, "edu_l1_label": "IOS"}, {"txt": "This con-firms the scalability of LVC to other VLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.413, 0.655, 0.481, 0.662], [0.096, 0.669, 0.382, 0.677]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": "5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.094, 0.697, 0.112, 0.707]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 256, "edu_l1_label": "BOS"}, {"txt": "Discussion and Future Work", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.112, 0.697, 0.353, 0.708]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "The core idea of our proposed LVC method is to en-able VLMs to process richer, continuous representations of video content.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.094, 0.723, 0.481, 0.732], [0.095, 0.739, 0.481, 0.747], [0.095, 0.755, 0.191, 0.761]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "By introducing the Query-Attention Video Compression mechanism and representing compressed fea-tures as pseudo-image frames, we effectively reduce both data requirements and training parameters compared to con-ventional Video-LLMs, which rely heavily on large-scale pre-training and fine-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.191, 0.755, 0.48, 0.761], [0.095, 0.768, 0.48, 0.777], [0.094, 0.785, 0.48, 0.792], [0.095, 0.798, 0.483, 0.805], [0.095, 0.815, 0.48, 0.822], [0.094, 0.831, 0.28, 0.836]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "In contrast to Video-LLMs, our experimental results provide preliminary evidence for the effectiveness of an alternative research direction-enhancing VLMs through lightweight compression.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.114, 0.843, 0.481, 0.852], [0.095, 0.861, 0.48, 0.867], [0.095, 0.876, 0.48, 0.883], [0.095, 0.889, 0.267, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "Moreover, by introducing ad-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.267, 0.889, 0.48, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], 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# LVC: A Lightweight Compression Framework for Enhancing VLMs in LongVideo Understanding ## Abstract ## 1.Introduction ## 2.Related Work ### 2.1.Vision-Language Models ### 2.2.Video Large Language Models ### 2.3.Long Video Understanding ## 3.Methods ### 3.1.Problem Formulation of Video Understanding ### 3.2.Model Architecture ### 3.3.Infusing Queries into Video Compressing ## 4.Experiments ### 4.1.Dataset and Benchmarks ### 4.2.Experimental Setup ### 4.3.Results on InternVL2 Series ### 4.4.Analyses on Input Frames #### 1.The LVC method provides consistent perforance im-provements across various compression ratios for differ-ent scales of InternVL2, with more significant improve-ments observed on MLVU. #### 2.The performance improvement of LVC becomes more significant as the compression ratio increases. #### 3.The performance growth of models enhanced with LVC becomes more gradual as the input frame count in-creases. ### 4.5.Ablation Studies #### Data Ablation: #### Data Scale Ablation: #### Component Ablation: ### 4.6.Results on Phi-3.5-Vision ## 5.Discussion and Future Work ## 6.Conclusion
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"global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "横幅:", "language": "chinese", "position": {"atoms": [{"position_id": 643, "txt": "横幅:", "x": "/html/body/div[3]/div/div[2]/div[1]/p[59]"}]}, "tags": [], "label": "content", "web_segment_id": 86, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "无论是宣传还是组织活动都是较为常见的,大部分材料一般为锦纶牛津布。", "language": "chinese", "position": {"atoms": [{"position_id": 644, "txt": "无论是宣传还是组织活动都是较为常见的,大部分材料一般为锦纶牛津布。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[59]"}]}, "tags": [], "label": "content", "web_segment_id": 86, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "为了拍照的时候能够拉得更平整,也有一些会采用写真的形式,而且写真制作时间比较快。", "language": "chinese", "position": {"atoms": [{"position_id": 645, "txt": "为了拍照的时候能够拉得更平整,也有一些会采用写真的形式,而且写真制作时间比较快。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[59]"}]}, "tags": [], "label": "content", "web_segment_id": 86, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "其他:", "language": "chinese", "position": 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"edu_l1_label": "IOS"}, {"txt": "大部分的喷绘写真都是在里面制作的,如果遇到大型的喷绘(如舞台背景等)还是会去工厂完成。", "language": "chinese", "position": {"atoms": [{"position_id": 664, "txt": "大部分的喷绘写真都是在里面制作的,如果遇到大型的喷绘(如舞台背景等)还是会去工厂完成。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[69]"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "一般我们都是就近选择,也会适当的进行比价选择。", "language": "chinese", "position": {"atoms": [{"position_id": 665, "txt": "一般我们都是就近选择,也会适当的进行比价选择。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[69]"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "作为公司层面还需要考虑一个因素就是费用结算方式,需要谈好一个合作方式,月结相对比较多。", "language": "chinese", "position": {"atoms": [{"position_id": 666, "txt": "作为公司层面还需要考虑一个因素就是费用结算方式,需要谈好一个合作方式,月结相对比较多。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[69]"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "<img 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"label": "content", "web_segment_id": 148, "global_sentence_id": 202, "edu_l1_label": "IOS"}, {"txt": "因此,我们在设计的时候就需要考虑这个因素而绕开重要信息的布局位置。", "language": "chinese", "position": {"atoms": [{"position_id": 791, "txt": "因此,我们在设计的时候就需要考虑这个因素而绕开重要信息的布局位置。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[126]"}]}, "tags": [], "label": "content", "web_segment_id": 148, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": "案例 02:", "language": "chinese", "position": {"atoms": [{"position_id": 793, "txt": "案例 02:", "x": "/html/body/div[3]/div/div[2]/div[1]/p[127]"}]}, "tags": [], "label": "content", "web_segment_id": 149, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "比如一个舞台以展架作为背景画面的展示形式,那么我们设计的时候就不能只是以展架搭建出来的尺寸为准。", "language": "chinese", "position": {"atoms": [{"position_id": 794, "txt": "比如一个舞台以展架作为背景画面的展示形式,那么我们设计的时候就不能只是以展架搭建出来的尺寸为准。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[127]"}]}, "tags": [], "label": "content", "web_segment_id": 149, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "通常会比测量尺寸大一点,以免出现白色画布的露出,影响整体画面的效果。", "language": "chinese", "position": {"atoms": [{"position_id": 795, "txt": "通常会比测量尺寸大一点,以免出现白色画布的露出,影响整体画面的效果。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[127]"}]}, "tags": [], "label": "content", "web_segment_id": 149, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "案例 03:", "language": "chinese", "position": {"atoms": [{"position_id": 797, "txt": "案例 03:", "x": "/html/body/div[3]/div/div[2]/div[1]/p[128]"}]}, "tags": [], "label": "content", "web_segment_id": 150, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "我们在设计印刷物料的时候,需要考虑裁切的误差,毕竟大批量的印刷不可能是一张张裁切的。", "language": "chinese", "position": {"atoms": [{"position_id": 798, "txt": "我们在设计印刷物料的时候,需要考虑裁切的误差,毕竟大批量的印刷不可能是一张张裁切的。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[128]"}]}, "tags": [], "label": "content", "web_segment_id": 150, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "也就是我们所谓的出血线(让印刷画面超出的那条线),出血线外面的位置就是要被裁掉的地方。", "language": "chinese", "position": {"atoms": [{"position_id": 799, "txt": "也就是我们所谓的出血线(让印刷画面超出的那条线),出血线外面的位置就是要被裁掉的地方。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[128]"}]}, "tags": [], "label": "content", "web_segment_id": 150, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": "案例 04:", "language": "chinese", "position": {"atoms": [{"position_id": 801, "txt": "案例 04:", "x": "/html/body/div[3]/div/div[2]/div[1]/p[129]"}]}, "tags": [], "label": "content", "web_segment_id": 151, "global_sentence_id": 210, "edu_l1_label": "IOS"}, {"txt": "如果是一场户外的活动需要展架,我们在设计的时候需要确定好展架的材质。", "language": "chinese", "position": {"atoms": [{"position_id": 802, "txt": "如果是一场户外的活动需要展架,我们在设计的时候需要确定好展架的材质。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[129]"}]}, "tags": [], "label": "content", "web_segment_id": 151, "global_sentence_id": 211, "edu_l1_label": "IOS"}, {"txt": "因为户外是有风的影响这个因素的,如果材质很轻就无法抵挡,需要采用能够固定在地面或者重量足够抵挡一般横风的材质。", "language": "chinese", "position": {"atoms": [{"position_id": 803, "txt": "因为户外是有风的影响这个因素的,如果材质很轻就无法抵挡,需要采用能够固定在地面或者重量足够抵挡一般横风的材质。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[129]"}]}, "tags": [], "label": "content", "web_segment_id": 151, "global_sentence_id": 212, "edu_l1_label": "IOS"}, {"txt": "案例就不一一列举,希望通过简单的几个案例,让大家知道设计前的场景分析在设计中的重要程度,让你的每一个设计都符合真实场景的设计需求。", "language": "chinese", "position": {"atoms": [{"position_id": 805, "txt": "案例就不一一列举,希望通过简单的几个案例,让大家知道设计前的场景分析在设计中的重要程度,让你的每一个设计都符合真实场景的设计需求。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[130]"}]}, "tags": [], "label": "content", "web_segment_id": 152, "global_sentence_id": 213, "edu_l1_label": "IOS"}, {"txt": "6、灵感积累的重要性", "language": "chinese", "position": {"atoms": [{"position_id": 807, "txt": "6、灵感积累的重要性", "x": "/html/body/div[3]/div/div[2]/div[1]/p[132]"}]}, "tags": [], "label": "title2", "web_segment_id": 153, "global_sentence_id": 214, "edu_l1_label": "IOS"}, {"txt": "无论做什么工作,职业习惯是非常重要的,作为设计师来说,养成良好的设计职场习惯也是至关重要。", "language": "chinese", "position": {"atoms": [{"position_id": 809, "txt": "无论做什么工作,职业习惯是非常重要的,作为设计师来说,养成良好的设计职场习惯也是至关重要。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[133]"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 215, "edu_l1_label": "IOS"}, {"txt": "所谓的灵感积累就是日常对于优秀设计作品的采集与分类能力,去吸收优秀的设计作品,分析与发现作品背后的设计轨迹,这样才能不断地武装自己的创意脑海。", "language": "chinese", "position": {"atoms": [{"position_id": 810, "txt": "所谓的灵感积累就是日常对于优秀设计作品的采集与分类能力,去吸收优秀的设计作品,分析与发现作品背后的设计轨迹,这样才能不断地武装自己的创意脑海。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[133]"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 216, "edu_l1_label": "IOS"}, {"txt": "并不是接到项目,需要灵感的时候才去寻找,而是养成日常灵感积累与分类的习惯。", "language": "chinese", "position": {"atoms": [{"position_id": 812, "txt": "并不是接到项目,需要灵感的时候才去寻找,而是养成日常灵感积累与分类的习惯。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[134]"}]}, "tags": [], "label": "content", "web_segment_id": 155, "global_sentence_id": 217, "edu_l1_label": "IOS"}, {"txt": "虽然做平面设计,但是你的关注点并非仅仅如此,全面的设计认知将会使得你的脑洞更加灵活,不断地创作出更好的作品。", "language": "chinese", "position": {"atoms": [{"position_id": 813, "txt": "虽然做平面设计,但是你的关注点并非仅仅如此,全面的设计认知将会使得你的脑洞更加灵活,不断地创作出更好的作品。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[134]"}]}, "tags": [], "label": "content", "web_segment_id": 155, "global_sentence_id": 218, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/444cti2gotQS2R7Mgm2RTlLK.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 319, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/444cti2gotQS2R7Mgm2RTlLK.jpeg", "x": "/html/body/div[3]/div/div[2]/div[1]/p[135]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 156, "global_sentence_id": 219, "edu_l1_label": "EDU_O"}, {"txt": "7、素材的利与弊", "language": "chinese", "position": {"atoms": [{"position_id": 815, "txt": "7、素材的利与弊", "x": "/html/body/div[3]/div/div[2]/div[1]/p[136]"}]}, "tags": [], "label": "title2", "web_segment_id": 157, "global_sentence_id": 220, "edu_l1_label": "IOS"}, {"txt": "对于很多初入职场的设计师,会过于依赖素材的运用,虽然素材可以变相地提高工作效率,但是却会使得设计师养成一个过于依赖的习惯。", "language": "chinese", "position": {"atoms": [{"position_id": 817, "txt": "对于很多初入职场的设计师,会过于依赖素材的运用,虽然素材可以变相地提高工作效率,但是却会使得设计师养成一个过于依赖的习惯。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[137]"}]}, "tags": [], "label": "content", "web_segment_id": 158, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "素材的运用会降低设计师的设计动手能力,一旦遇到要求较高的项目就会难以执行。", "language": "chinese", "position": {"atoms": [{"position_id": 818, "txt": "素材的运用会降低设计师的设计动手能力,一旦遇到要求较高的项目就会难以执行。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[137]"}]}, "tags": [], "label": "content", "web_segment_id": 158, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "所以,在面对素材上面通常都是利弊交加的,我们需要谨慎对待,千万不要过于依赖而降低自己的动手能力,要具备自己创造素材的能力,对于看到的视觉效果要能知道实现的原理和运用的技法。", "language": "chinese", "position": {"atoms": [{"position_id": 820, "txt": "所以,在面对素材上面通常都是利弊交加的,我们需要谨慎对待,千万不要过于依赖而降低自己的动手能力,要具备自己创造素材的能力,对于看到的视觉效果要能知道实现的原理和运用的技法。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[138]"}]}, "tags": [], "label": "content", "web_segment_id": 159, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": "8、日常自创素材的重要性", "language": "chinese", "position": {"atoms": [{"position_id": 822, "txt": "8、日常自创素材的重要性", "x": "/html/body/div[3]/div/div[2]/div[1]/p[140]"}]}, "tags": [], "label": "title2", "web_segment_id": 160, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": "面对前面一个素材利弊的问题,我们引出关于日常自创素材的话题,虽然对于很多初入职场的设计师来说,自创素材需要更多的时间和精力,也不能很好地达到想要的效果。", "language": "chinese", "position": {"atoms": [{"position_id": 824, "txt": "面对前面一个素材利弊的问题,我们引出关于日常自创素材的话题,虽然对于很多初入职场的设计师来说,自创素材需要更多的时间和精力,也不能很好地达到想要的效果。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[141]"}]}, "tags": [], "label": "content", "web_segment_id": 161, "global_sentence_id": 225, "edu_l1_label": "IOS"}, {"txt": "但是这个创作素材的过程不仅可以锻炼对于软件技法层面的熟练度,也能养成动手设计的习惯。", "language": "chinese", "position": {"atoms": [{"position_id": 825, "txt": "但是这个创作素材的过程不仅可以锻炼对于软件技法层面的熟练度,也能养成动手设计的习惯。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[141]"}]}, "tags": [], "label": "content", "web_segment_id": 161, "global_sentence_id": 226, "edu_l1_label": "IOS"}, {"txt": "通过自己原创出来的素材不仅用得放心(无需考虑版权问题),也能积累属于自己的素材库,这将会使你进阶设计更快一步。", "language": "chinese", "position": {"atoms": [{"position_id": 827, "txt": "通过自己原创出来的素材不仅用得放心(无需考虑版权问题),也能积累属于自己的素材库,这将会使你进阶设计更快一步。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[142]"}]}, "tags": [], "label": "content", "web_segment_id": 162, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3ggsEX4uxMTBDDXFY33v9ay.png", "language": "chinese", "position": {"atoms": [{"position_id": 329, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3ggsEX4uxMTBDDXFY33v9ay.png", "x": "/html/body/div[3]/div/div[2]/div[1]/p[143]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 163, "global_sentence_id": 228, "edu_l1_label": "EDU_O"}, {"txt": "三、对接", "language": "chinese", "position": {"atoms": [{"position_id": 829, "txt": "三、对接", "x": "/html/body/div[3]/div/div[2]/div[1]/p[144]"}]}, "tags": [], "label": "title1", "web_segment_id": 164, "global_sentence_id": 229, "edu_l1_label": "BOS"}, {"txt": "9、印刷前", "language": "chinese", "position": {"atoms": [{"position_id": 831, "txt": "9、印刷前", "x": "/html/body/div[3]/div/div[2]/div[1]/p[146]"}]}, "tags": [], "label": "title2", "web_segment_id": 165, "global_sentence_id": 230, "edu_l1_label": "IOS"}, {"txt": "设计稿做得再好如果印刷出现问题,也是等于无用功一场。", "language": "chinese", "position": {"atoms": [{"position_id": 833, "txt": "设计稿做得再好如果印刷出现问题,也是等于无用功一场。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[147]"}]}, "tags": [], "label": "content", "web_segment_id": 166, "global_sentence_id": 231, "edu_l1_label": "IOS"}, {"txt": "在提交印刷之前我们需要经过一轮排查,因为印刷一旦开始,就算中途停止也是会浪费很多成本(财务成本、时间成本等)。", "language": "chinese", "position": {"atoms": [{"position_id": 834, "txt": "在提交印刷之前我们需要经过一轮排查,因为印刷一旦开始,就算中途停止也是会浪费很多成本(财务成本、时间成本等)。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[147]"}]}, "tags": [], "label": "content", "web_segment_id": 166, "global_sentence_id": 232, "edu_l1_label": "IOS"}, {"txt": "提交印刷前我们需要注意哪些事项:", "language": "chinese", "position": {"atoms": [{"position_id": 836, "txt": "提交印刷前我们需要注意哪些事项:", "x": "/html/body/div[3]/div/div[2]/div[1]/p[148]"}]}, "tags": [], "label": "content", "web_segment_id": 167, "global_sentence_id": 233, "edu_l1_label": "IOS"}, {"txt": "a.", "language": "chinese", "position": {"atoms": [{"position_id": 838, "txt": "a.", "x": "/html/body/div[3]/div/div[2]/div[1]/p[149]"}]}, "tags": [], "label": "content", "web_segment_id": 168, "global_sentence_id": 234, "edu_l1_label": "IOS"}, {"txt": " 印刷成品尺寸与设计尺寸比对,需要考虑好出血大小,不管什么印刷都得做出血,保证 3mm 以上;", "language": "chinese", "position": {"atoms": [{"position_id": 839, "txt": " 印刷成品尺寸与设计尺寸比对,需要考虑好出血大小,不管什么印刷都得做出血,保证 3mm 以上;", "x": "/html/body/div[3]/div/div[2]/div[1]/p[149]"}]}, "tags": [], "label": "content", "web_segment_id": 168, "global_sentence_id": 235, "edu_l1_label": "IOS"}, {"txt": "b.", "language": "chinese", "position": {"atoms": [{"position_id": 841, "txt": "b.", "x": "/html/body/div[3]/div/div[2]/div[1]/p[150]"}]}, "tags": [], "label": "content", "web_segment_id": 169, "global_sentence_id": 236, "edu_l1_label": "IOS"}, {"txt": " 色彩模式的排查,大批量的印刷需要 cmyk 模式,虽然 rgb 打样是漂亮,但印刷出来就差了。", "language": "chinese", "position": {"atoms": [{"position_id": 842, "txt": " 色彩模式的排查,大批量的印刷需要 cmyk 模式,虽然 rgb 打样是漂亮,但印刷出来就差了。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[150]"}]}, "tags": [], "label": "content", "web_segment_id": 169, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": "如果是少量的数码印刷相对比较好些,提交印刷稿之前最好和印刷公司沟通一下;", "language": "chinese", "position": {"atoms": [{"position_id": 843, "txt": "如果是少量的数码印刷相对比较好些,提交印刷稿之前最好和印刷公司沟通一下;", "x": "/html/body/div[3]/div/div[2]/div[1]/p[150]"}]}, "tags": [], "label": "content", "web_segment_id": 169, "global_sentence_id": 238, "edu_l1_label": "IOS"}, {"txt": "c. 印刷文件排查三部曲,首先是文件是否存在隐藏元素;", "language": "chinese", "position": {"atoms": [{"position_id": 845, "txt": "c. 印刷文件排查三部曲,首先是文件是否存在隐藏元素;", "x": "/html/body/div[3]/div/div[2]/div[1]/p[151]"}]}, "tags": [], "label": "content", "web_segment_id": 170, "global_sentence_id": 239, "edu_l1_label": "IOS"}, {"txt": "其次是元素是否有被锁定;", "language": "chinese", "position": {"atoms": [{"position_id": 846, "txt": "其次是元素是否有被锁定;", "x": "/html/body/div[3]/div/div[2]/div[1]/p[151]"}]}, "tags": [], "label": "content", "web_segment_id": 170, "global_sentence_id": 240, "edu_l1_label": "IOS"}, {"txt": "最后是文字是否转曲,转曲文字是否有出现封闭部分被填充等;", "language": "chinese", "position": {"atoms": [{"position_id": 847, "txt": "最后是文字是否转曲,转曲文字是否有出现封闭部分被填充等;", "x": "/html/body/div[3]/div/div[2]/div[1]/p[151]"}]}, "tags": [], "label": "content", "web_segment_id": 170, "global_sentence_id": 241, "edu_l1_label": "IOS"}, {"txt": "d. 运用的设计软件不同,对于图片的嵌入方式也不同,我们要根据自己运用的软件进行检查,看看图片是否都嵌入到设计文件中,如果没有嵌入可能会出现图片丢失的情况;", 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"x": "/html/body/div[3]/div/div[2]/div[1]/p[154]"}]}, "tags": [], "label": "content", "web_segment_id": 173, "global_sentence_id": 244, "edu_l1_label": "IOS"}, {"txt": "在提交印刷文件前尽量多进行文件排查,以防一些小问题而导致制版费用和时间成本的浪费。", "language": "chinese", "position": {"atoms": [{"position_id": 855, "txt": "在提交印刷文件前尽量多进行文件排查,以防一些小问题而导致制版费用和时间成本的浪费。", "x": "/html/body/div[3]/div/div[2]/div[1]/p[155]"}]}, "tags": [], "label": "content", "web_segment_id": 174, "global_sentence_id": 245, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2EjnqD2qqBc22tXQvE2sLHOa.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 344, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2EjnqD2qqBc22tXQvE2sLHOa.jpeg", "x": "/html/body/div[3]/div/div[2]/div[1]/p[156]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 175, "global_sentence_id": 246, "edu_l1_label": "EDU_O"}, {"txt": "10、印刷中", "language": "chinese", 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# UI设计师需要熟知的平面基础 ## 写在前面 ## 分享思路 ## 一、认知 ### 1、初识平面设计 #### 1.1、关于 #### 1.2、平面设计师专业广度 #### 1.3、平面设计师职业现状 #### 1.4、不可小瞧的设计功底 ### 2、平面设计师的进阶之路 #### 2.1、杂学活用 #### 2.2、精专细分领域 #### 2.3、扩展互联网设计能力 #### 2.4、管理路线 ### 3、平面物料设计基础认知 #### 3.1、印刷品设计 #### 3.2、数码印刷与传统印刷的区别 #### 3.3、图文制作店能干嘛? ## 二、设计 ### 4、基本的美术功底 #### 4.1、基本要素 #### 4.2、专业术语 #### 4.3、三大构成 #### 4.4、透视基础 #### 4.5、造型能力 #### 4.6、版式设计 #### 4.7、图形创意 #### 4.8、商业插画 ### 5、设计前的场景分析 ### 6、灵感积累的重要性 ### 7、素材的利与弊 ### 8、日常自创素材的重要性 ## 三、对接 ### 9、印刷前 ### 10、印刷中 ### 11、交付后 ## 四、行业路径 ### 12、杂事之下的代表作 ### 13、设计比赛带来的行业背书 ### 14、适合工作还是创业 ## 五、对 UI 的影响 ## 小结
fb4c2399-0692-481c-99c5-f61c421884ea
web
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https://www.thepaper.cn/newsDetail_forward_30351816
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"global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "实干履职,书写为民“新答卷”", "language": "chinese", "position": {"atoms": [{"position_id": 251, "txt": "实干履职,书写为民“新答卷”", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[17]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 17, "global_sentence_id": 47, "edu_l1_label": "BOS"}, {"txt": "“我肩负着乡亲们的期望,建议里承载着大家对美好生活的向往。", "language": "chinese", "position": {"atoms": [{"position_id": 253, "txt": "“我肩负着乡亲们的期望,建议里承载着大家对美好生活的向往。", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "这份责任重如泰山,我一定要把群众的心声带到大会上。”", "language": "chinese", "position": {"atoms": [{"position_id": 254, "txt": "这份责任重如泰山,我一定要把群众的心声带到大会上。”", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": 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"label": "content", "web_segment_id": 21, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "守正创新生物科技(天津)有限公司董事长郑春阳委员说。", "language": "chinese", "position": {"atoms": [{"position_id": 264, "txt": "守正创新生物科技(天津)有限公司董事长郑春阳委员说。", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "2025年全国两会,以严明如铁的纪律、务实高效的会风、积极有为的履职,奏响了团结奋进的激昂乐章。", "language": "chinese", "position": {"atoms": [{"position_id": 266, "txt": "2025年全国两会,以严明如铁的纪律、务实高效的会风、积极有为的履职,奏响了团结奋进的激昂乐章。", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "新征程上,代表委员们将带着两会的精神和共识,把好会风转化为好作风,秉持为人民服务的宗旨,为全面建设社会主义现代化国家作出新贡献。", "language": "chinese", "position": {"atoms": [{"position_id": 267, "txt": "新征程上,代表委员们将带着两会的精神和共识,把好会风转化为好作风,秉持为人民服务的宗旨,为全面建设社会主义现代化国家作出新贡献。", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "(记者申智林、亓玉昆、赵帅杰、王浩骅参与采写)", "language": "chinese", "position": {"atoms": [{"position_id": 269, "txt": "(记者申智林、亓玉昆、赵帅杰、王浩骅参与采写)", "x": "/html/body/div/main/div[3]/div[1]/div[1]/div/div[2]/p[23]"}]}, "tags": [], "label": "author", "web_segment_id": 23, "global_sentence_id": 59, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 2025年全国两会——会风简约、纪律严明、务实高效 ## 纪律严明,筑牢作风“高压线” ## 简约办会,彰显务实“新风尚” ## 实干履职,书写为民“新答卷”
92a8db0d-74b9-4c8a-9678-d1b5453e5e0e
web
test/raw_web_htmls/92a8db0d-74b9-4c8a-9678-d1b5453e5e0e.html
https://fangpenlin.com/posts/2025/03/01/nvidia-gpu-on-bare-metal-nixos-k8s-explained/
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workstation sporting an Nvidia GeForce RTX 2080 Ti.", "x": "/html/body/div/div/div/article/figure[1]/figcaption/p/a"}]}, "tags": ["img", "figcaption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 7, "edu_l1_label": "EDU_O"}, {"txt": "With that in mind, I took a week on this side quest.", "language": "english", "position": {"atoms": [{"position_id": 970, "txt": "With that in mind, I took a week on this side quest.", "x": "/html/body/div/div/div/article/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": " It turns out it’s way harder than I expected.", "language": "english", "position": {"atoms": [{"position_id": 971, "txt": " It turns out it’s way harder than I expected.", "x": "/html/body/div/div/div/article/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": " I have learned a lot from digging this rabbit hole, and I 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" There are also privacy concerns for personal use, so Nvidia GPU on a local bare-metal Kubernetes cluster is still a very tempting option.", "language": "english", "position": {"atoms": [{"position_id": 994, "txt": " There are also privacy concerns for personal use, so Nvidia GPU on a local bare-metal Kubernetes cluster is still a very tempting option.", "x": "/html/body/div/div/div/article/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": " Here, I would like to share my experience setting up a bare metal Kubernetes cluster with the Nvidia GPU CDI plugin enabled in NixOS.", "language": "english", "position": {"atoms": [{"position_id": 995, "txt": " Here, I would like to share my experience setting up a bare metal Kubernetes cluster with the Nvidia GPU CDI plugin enabled in NixOS.", "x": "/html/body/div/div/div/article/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 20, 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"label": "content", "web_segment_id": 14, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "…", "language": "english", "position": {"atoms": [{"position_id": 1032, "txt": "…", "x": "/html/body/div/div/div/article/ol/li[5]"}]}, "tags": ["li"], "label": "content", "web_segment_id": 15, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "This is a great example of a chain of rabbit holes.", "language": "english", "position": {"atoms": [{"position_id": 1034, "txt": "This is a great example of a chain of rabbit holes.", "x": "/html/body/div/div/div/article/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": " The ability to dig rabbit holes and solve hard problems down the chain boils down to two words:", "language": "english", "position": {"atoms": [{"position_id": 1035, "txt": " The ability to dig rabbit holes and solve hard problems down the chain boils down to two words:", "x": 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[{"position_id": 1040, "txt": " They recently announced their ", "x": "/html/body/div/div/div/article/p[7]"}, {"position_id": 1042, "txt": "customized distributed file system to optimize AI training", "x": "/html/body/div/div/div/article/p[7]/a[1]"}, {"position_id": 1044, "txt": ".", "x": "/html/body/div/div/div/article/p[7]/a[1]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": " Their ability to dig rabbit holes like this or the previous PTX (Parallel Thread Execution) optimization shows great execution power.", "language": "english", "position": {"atoms": [{"position_id": 1045, "txt": " Their ability to dig rabbit holes like this or the previous ", "x": "/html/body/div/div/div/article/p[7]/a[1]"}, {"position_id": 1047, "txt": "PTX (Parallel Thread Execution)", "x": "/html/body/div/div/div/article/p[7]/a[2]"}, {"position_id": 1049, "txt": " optimization shows great execution power.", "x": 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"web_segment_id": 19, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": " Also, not all rabbit holes are worth digging.", "language": "english", "position": {"atoms": [{"position_id": 1053, "txt": " Also, not all rabbit holes are worth digging.", "x": "/html/body/div/div/div/article/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": " Since this is an interesting topic but rarely mentioned, I would bring up a bit of my thought process on my decision going down each rabbit hole.", "language": "english", "position": {"atoms": [{"position_id": 1054, "txt": " Since this is an interesting topic but rarely mentioned, I would bring up a bit of my thought process on my decision going down each rabbit hole.", "x": "/html/body/div/div/div/article/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": " Before that, let’s see the chain of rabbit holes I 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available Nvidia GPU devices on each node, report on them, and manage that information with the Kubernetes API server.", "x": "/html/body/div/div/div/article/p[33]/a"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "Dig this hole first - build nix-playground for hacking and patching any source code easily", "language": "english", "position": {"atoms": [{"position_id": 1902, "txt": "Dig this hole first - build nix-playground for hacking and patching any source code easily", "x": "/html/body/div/div/div/article/h2[4]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 63, "global_sentence_id": 164, "edu_l1_label": "BOS"}, {"txt": "Now we have the background knowledge about what’s what in the context of Nvidia GPU on Kubernetes.", "language": "english", "position": {"atoms": [{"position_id": 1904, "txt": "Now we have the background knowledge about what’s what in the context of Nvidia GPU on Kubernetes.", "x": "/html/body/div/div/div/article/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": " Do you think it’s about time to discuss adding Nvidia GPU support to your bare-metal Kubernetes cluster?", "language": "english", "position": {"atoms": [{"position_id": 1905, "txt": " Do you think it’s about time to discuss adding Nvidia GPU support to your bare-metal Kubernetes cluster?", "x": "/html/body/div/div/div/article/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 166, "edu_l1_label": "IOS"}, {"txt": " Well, not so fast.", "language": "english", "position": {"atoms": [{"position_id": 1906, "txt": " Well, not so fast.", "x": "/html/body/div/div/div/article/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": " As I thought it shouldn’t be too hard, just deploy the k8s-device-plugin as a helm chart, generate and modify configurations as described in Nvidia’s official documents, and it should be good to go, right?", "language": "english", "position": {"atoms": [{"position_id": 1907, "txt": " As I thought it shouldn’t be too hard, just deploy the k8s-device-plugin as ", "x": "/html/body/div/div/div/article/p[34]"}, {"position_id": 1909, "txt": "a helm chart", "x": "/html/body/div/div/div/article/p[34]/a"}, {"position_id": 1911, "txt": ", generate and modify configurations as described in Nvidia’s official documents, and it should be good to go, right?", "x": "/html/body/div/div/div/article/p[34]/a"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": " Unfortunately, I saw many errors immediately right after I did so.", "language": "english", "position": {"atoms": [{"position_id": 1912, "txt": " Unfortunately, I saw many errors immediately right after I did so.", "x": "/html/body/div/div/div/article/p[34]/a"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": " Like this one from nvdp-nvidia-device-plugin DaemonSet:", "language": "english", "position": {"atoms": [{"position_id": 1913, "txt": " Like this one from ", "x": "/html/body/div/div/div/article/p[34]/a"}, {"position_id": 1915, "txt": "nvdp-nvidia-device-plugin", "x": "/html/body/div/div/div/article/p[34]/code"}, {"position_id": 1917, "txt": " DaemonSet:", "x": "/html/body/div/div/div/article/p[34]/code"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "symbol lookup error:", "language": "english", "position": {"atoms": [{"position_id": 1919, "txt": "symbol lookup error:", "x": "/html/body/div/div/div/article/div[8]/div/pre/code"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": " /nix/store/nqb2ns2d1lahnd5ncwmn6k84qfd7vx2k-glibc-2.40-36/lib/libc.so.6:", 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to dig deeper 😅.", "language": "english", "position": {"atoms": [{"position_id": 1924, "txt": "It turns out we need to dig deeper 😅.", "x": "/html/body/div/div/div/article/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 66, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": "<img img", "language": "english", "position": {"atoms": [{"position_id": 491, "txt": "<img img", "x": "/html/body/div/div/div/article/figure[8]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 176, "edu_l1_label": "EDU_O"}, {"txt": "The We Need To Go Deeper meme from the Inception movie", "language": "english", "position": {"atoms": [{"position_id": 1926, "txt": "The ", "x": "/html/body/div/div/div/article/figure[8]/figcaption/p"}, {"position_id": 1928, "txt": "We Need To Go Deeper", "x": "/html/body/div/div/div/article/figure[8]/figcaption/p/a"}, {"position_id": 1930, "txt": " meme from the Inception movie", "x": "/html/body/div/div/div/article/figure[8]/figcaption/p/a"}]}, "tags": ["figcaption", "img"], "label": "figure_title", "web_segment_id": 67, "global_sentence_id": 177, "edu_l1_label": "EDU_O"}, {"txt": "I am the type of engineer who enjoys digging rabbit holes most of the time and learns a lot from doing so.", "language": "english", "position": {"atoms": [{"position_id": 1932, "txt": "I am the type of engineer who enjoys digging rabbit holes most of the time and learns a lot from doing so.", "x": "/html/body/div/div/div/article/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": " Many people don’t understand software engineering, so I have said countless times that reading code is way harder than writing code.", "language": "english", "position": {"atoms": [{"position_id": 1933, "txt": " Many people don’t understand software engineering, so I have said countless times that reading code is way harder than writing code.", "x": "/html/body/div/div/div/article/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": " In the era of AI, generating code makes it even harder to read.", "language": "english", "position": {"atoms": [{"position_id": 1934, "txt": " In the era of AI, generating code makes it even harder to read.", "x": "/html/body/div/div/div/article/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": " And reading source code upstream is critical for solving hard problems.", "language": "english", "position": {"atoms": [{"position_id": 1935, "txt": " And reading source code upstream is critical for solving hard problems.", "x": "/html/body/div/div/div/article/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": " Sometimes, you are lucky, and there are easy ways to work around problems, but sometimes, there’s no easy way around but to find the root cause.", "language": "english", "position": {"atoms": [{"position_id": 1936, "txt": " Sometimes, you are lucky, and there are easy ways to work around problems, but sometimes, there’s no easy way around but to find the root cause.", "x": "/html/body/div/div/div/article/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "An error like this one is very tricky because the executable crashes immediately after it starts the container process in the Linux namespace.", "language": "english", "position": {"atoms": [{"position_id": 1938, "txt": "An error like this one is very tricky because the executable crashes immediately after it starts the container process in the Linux namespace.", "x": "/html/body/div/div/div/article/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": " Usually, when seeing an error like this, I just exec or debug into the container with a shell to see what’s happening.", "language": "english", "position": {"atoms": [{"position_id": 1939, "txt": " Usually, when seeing an error like this, I just ", "x": "/html/body/div/div/div/article/p[37]"}, {"position_id": 1941, "txt": "exec", "x": "/html/body/div/div/div/article/p[37]/a[1]"}, {"position_id": 1943, "txt": " or ", "x": "/html/body/div/div/div/article/p[37]/a[1]"}, {"position_id": 1945, "txt": "debug", "x": "/html/body/div/div/div/article/p[37]/a[2]"}, {"position_id": 1947, "txt": " into the container with a shell to see what’s happening.", "x": "/html/body/div/div/div/article/p[37]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": " But it won’t work in this case because all executables crash like that in the container, even for /bin/sh.", "language": "english", "position": {"atoms": [{"position_id": 1948, "txt": " But it won’t work in this case because all executables crash like that in the container, even for ", "x": "/html/body/div/div/div/article/p[37]/a[2]"}, {"position_id": 1950, "txt": "/bin/sh.", "x": "/html/body/div/div/div/article/p[37]/code"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "I had no choice but to read the source code of Nvidia’s container projects, and I needed to modify the code to figure out what was going on.", "language": "english", "position": {"atoms": [{"position_id": 1952, "txt": "I had no choice but to read the source code of Nvidia’s container projects, and I needed to modify the code to figure out what was going on.", "x": "/html/body/div/div/div/article/p[38]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": " Unfortunately, modifying source code and making a custom build is annoying.", "language": "english", "position": {"atoms": [{"position_id": 1953, "txt": " Unfortunately, modifying source code and making a custom build is annoying.", "x": "/html/body/div/div/div/article/p[38]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": " Just to get the project to build could take hours.", "language": "english", "position": {"atoms": [{"position_id": 1954, "txt": " Just to get the project to build could take hours.", "x": "/html/body/div/div/div/article/p[38]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": " You need to read the instructions to install the required dependencies.", "language": "english", "position": {"atoms": [{"position_id": 1955, "txt": " You need to read the instructions to install the required dependencies.", "x": "/html/body/div/div/div/article/p[38]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": " Sometimes, there are very specific versions of those dependencies or build environments you need to get.", "language": "english", "position": {"atoms": [{"position_id": 1956, "txt": " Sometimes, there are very specific versions of those dependencies or build environments you need to get.", "x": "/html/body/div/div/div/article/p[38]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": " Very often, it could take hours or even a few days just to get a project to build, depending on how complex the project is.", "language": "english", "position": {"atoms": [{"position_id": 1957, "txt": " Very often, it could take hours or even a few days just to get a project to build, depending on how complex the project is.", "x": "/html/body/div/div/div/article/p[38]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "I wish there was a tool to help me hack the source code of any open-source projects and build them quickly with my code changes so I could try things out quickly.", "language": "english", "position": {"atoms": [{"position_id": 1959, "txt": "I wish there was a tool to help me hack the source code of any open-source projects and build them quickly with my code changes so I could try things out quickly.", "x": "/html/body/div/div/div/article/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 71, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": " Then I realized, okay, why not just build one myself?", "language": "english", "position": {"atoms": [{"position_id": 1960, "txt": " Then I realized, okay, why not just build one myself?", "x": "/html/body/div/div/div/article/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 71, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": " Obviously, this is yet another rabbit hole to dig from the original one.", "language": "english", "position": {"atoms": [{"position_id": 1961, "txt": " Obviously, this is yet another rabbit hole to dig from the original one.", "x": "/html/body/div/div/div/article/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 71, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": " But if it works, this could be super useful down the road.", "language": "english", "position": {"atoms": [{"position_id": 1962, "txt": " But if it works, this could be super useful down the road.", "x": "/html/body/div/div/div/article/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 71, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": " Considering the potential productivity gains and the leverage this tool could have.", "language": "english", "position": {"atoms": [{"position_id": 1963, "txt": " Considering the potential productivity gains and the leverage this tool could have.", "x": "/html/body/div/div/div/article/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 71, "global_sentence_id": 196, "edu_l1_label": "IOS"}, {"txt": " I’ve decided to context-switch to digging this rabbit hole shortly.", "language": "english", "position": {"atoms": [{"position_id": 1964, "txt": " I’ve decided to context-switch to digging this rabbit hole shortly.", "x": "/html/body/div/div/div/article/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 71, "global_sentence_id": 197, "edu_l1_label": "IOS"}, {"txt": "I love NixOS and Nixpkgs because they’re a build tree containing almost all major open-source software, from the Linux kernel to a utils command-line tool.", "language": "english", "position": {"atoms": [{"position_id": 1966, "txt": "I love NixOS and Nixpkgs because they’re a build tree containing almost all major open-source software, from the Linux kernel to a utils command-line tool.", "x": "/html/body/div/div/div/article/p[40]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": " As far as I know, nothing else like this allows you to build the whole system from end to end under the same framework.", "language": "english", "position": {"atoms": [{"position_id": 1967, "txt": " As far as I know, nothing else like this allows you to build the whole system from end to end under the same framework.", "x": "/html/body/div/div/div/article/p[40]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": " Thanks to the nature of this tool, it has the building scripts ready in Nix for all the projects I want to look into, including the nvidia-container-toolkit and libnvidia-container.", "language": "english", "position": {"atoms": [{"position_id": 1968, "txt": " Thanks to the nature of this tool, it has the building scripts ready in Nix for all the projects I want to look into, including the ", "x": "/html/body/div/div/div/article/p[40]"}, {"position_id": 1970, "txt": "nvidia-container-toolkit", "x": "/html/body/div/div/div/article/p[40]/a[1]"}, {"position_id": 1972, "txt": " and ", "x": "/html/body/div/div/div/article/p[40]/a[1]"}, {"position_id": 1974, "txt": "libnvidia-container", "x": "/html/body/div/div/div/article/p[40]/a[2]"}, {"position_id": 1976, "txt": ".", "x": "/html/body/div/div/div/article/p[40]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 200, "edu_l1_label": "IOS"}, {"txt": "Since each Nixpkgs package is just the artifact of yet another Nix’s derivation, which describes how to build the project and all its dependencies in a pure data format (ATerm), I should be able to extract the source code from it.", "language": "english", "position": {"atoms": [{"position_id": 1978, "txt": "Since each Nixpkgs package is just the artifact of yet another ", "x": "/html/body/div/div/div/article/p[41]"}, {"position_id": 1980, "txt": "Nix’s derivation", "x": "/html/body/div/div/div/article/p[41]/a[1]"}, {"position_id": 1982, "txt": ", which describes how to build the project and all its dependencies in a ", "x": "/html/body/div/div/div/article/p[41]/a[1]"}, {"position_id": 1984, "txt": "pure data format (ATerm)", "x": "/html/body/div/div/div/article/p[41]/a[2]"}, {"position_id": 1986, "txt": ", I should be able to extract the source code from it.", "x": "/html/body/div/div/div/article/p[41]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 201, "edu_l1_label": "IOS"}, {"txt": " With that in mind, I quickly built a prototype to try out, which I called nix-playground.", "language": "english", "position": {"atoms": [{"position_id": 1987, "txt": " With that in mind, I quickly built a prototype to try out, which I called ", "x": "/html/body/div/div/div/article/p[41]/a[2]"}, {"position_id": 1989, "txt": "nix-playground", "x": "/html/body/div/div/div/article/p[41]/a[3]"}, {"position_id": 1991, "txt": ".", "x": "/html/body/div/div/div/article/p[41]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 202, "edu_l1_label": "IOS"}, {"txt": " And yes, I open-sourced it under the MIT license.", "language": "english", "position": {"atoms": [{"position_id": 1992, "txt": " And yes, I open-sourced it under the MIT license.", "x": "/html/body/div/div/div/article/p[41]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": " You can use it as a playground to easily play around and patch any open-source project.", "language": "english", "position": {"atoms": [{"position_id": 1993, "txt": " You can use it as a playground to easily play around and patch any open-source project.", "x": "/html/body/div/div/div/article/p[41]/a[3]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": " Here’s some example:", "language": "english", "position": {"atoms": [{"position_id": 1994, "txt": " Here’s some example:", "x": 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article.", "language": "english", "position": {"atoms": [{"position_id": 2938, "txt": "Next, I will go back to improving MAZE and soon publish the third MAZE article.", "x": "/html/body/div/div/div/article/p[64]"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 417, "edu_l1_label": "IOS"}, {"txt": " I have been running the experiment for the past week, and it has already accumulated some data with updated MAZE code, including mutations and some other good stuff.", "language": "english", "position": {"atoms": [{"position_id": 2939, "txt": " I have been running the experiment for the past week, and it has already accumulated some data with updated MAZE code, including mutations and some other good stuff.", "x": "/html/body/div/div/div/article/p[64]"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 418, "edu_l1_label": "IOS"}, {"txt": " Likewise, I will publish the data along with the next article.", "language": "english", "position": {"atoms": [{"position_id": 2940, "txt": " Likewise, I will publish the data along with the next article.", "x": "/html/body/div/div/div/article/p[64]"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 419, "edu_l1_label": "IOS"}, {"txt": " I am still thinking about the next focus of the following research.", "language": "english", "position": {"atoms": [{"position_id": 2941, "txt": " I am still thinking about the next focus of the following research.", "x": "/html/body/div/div/div/article/p[64]"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 420, "edu_l1_label": "IOS"}, {"txt": " I have some interesting ideas for eliminating backpropagation with the MAZE approach.", "language": "english", "position": {"atoms": [{"position_id": 2942, "txt": " I have some interesting ideas for eliminating backpropagation with the MAZE approach.", "x": "/html/body/div/div/div/article/p[64]"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 421, "edu_l1_label": "IOS"}, {"txt": " I am also thinking that maybe it’s time to introduce more freedom (more operations) to MAZE’s neuron network so that I can break the accuracy barrier it’s facing.", "language": "english", "position": {"atoms": [{"position_id": 2943, "txt": " I am also thinking that maybe it’s time to introduce more freedom (more operations) to MAZE’s neuron network so that I can break the accuracy barrier it’s facing.", "x": "/html/body/div/div/div/article/p[64]"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 422, "edu_l1_label": "IOS"}, {"txt": " Anyway, we will see.", "language": "english", "position": {"atoms": [{"position_id": 2944, "txt": " Anyway, we will see.", "x": "/html/body/div/div/div/article/p[64]"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 423, "edu_l1_label": "IOS"}, {"txt": "Regardless, thanks for reading.", "language": "english", "position": {"atoms": [{"position_id": 2946, "txt": "Regardless, thanks for reading.", "x": "/html/body/div/div/div/article/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 119, "global_sentence_id": 424, "edu_l1_label": "IOS"}, {"txt": " I hope you like my journey of digging the rabbit hole and sharing knowledge about running Nvidia GPU on Kubernetes.", "language": "english", "position": {"atoms": [{"position_id": 2947, "txt": " I hope you like my journey of digging the rabbit hole and sharing knowledge about running Nvidia GPU on Kubernetes.", "x": "/html/body/div/div/div/article/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 119, "global_sentence_id": 425, "edu_l1_label": "IOS"}, {"txt": " Please help me share this article if you find it interesting.", "language": "english", "position": {"atoms": [{"position_id": 2948, "txt": " Please help me share this article if you find it interesting.", "x": "/html/body/div/div/div/article/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 119, "global_sentence_id": 426, "edu_l1_label": "IOS"}, {"txt": " Stay tuned because we will have tons of fun on the journey of learning machine learning by building a novel project like MAZE!", "language": "english", "position": {"atoms": [{"position_id": 2949, "txt": " Stay tuned because we will have tons of fun on the journey of learning machine learning by building a novel project like MAZE!", "x": "/html/body/div/div/div/article/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 119, "global_sentence_id": 427, "edu_l1_label": "IOS"}, {"txt": " 😄", "language": "english", "position": {"atoms": [{"position_id": 2950, "txt": " 😄", "x": "/html/body/div/div/div/article/p[65]"}]}, "tags": [], "label": "content", "web_segment_id": 119, "global_sentence_id": 428, "edu_l1_label": "IOS"}], "type": "WEB"}
# Nvidia GPU on bare metal NixOS Kubernetes cluster explained ## Chain of rabbit holes ## Running Kubernetes with NixOS ## Kubernetes with Nvidia GPU CDI plugin explained ### Container Runtime Interface ### nvidia-container-toolkit ### libnvidia-container ### Container Device Interface ### k8s-device-plugin ## Dig this hole first - build nix-playground for hacking and patching any source code easily ## Hunting the k8s-device-plugin crashing bug ## The missing RuntimeClass ## Yet another rabbit hole - PyCharm cannot open my WSL NixOS anymore ## The rule of thumbs for digging the rabbit holes ## Final thoughts
579ee93d-74c2-4a3d-8766-2fd4b9eb015b
web
test/raw_web_htmls/579ee93d-74c2-4a3d-8766-2fd4b9eb015b.html
https://dynomight.substack.com/p/glp-1
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is plausible enough.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[5]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": " We don’t know which of the many effects of these drugs is really helping with obesity.", "language": "english", "position": {"atoms": [{"position_id": 736, "txt": " We don’t know which of the many effects of these drugs is really helping with obesity.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[5]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": " Maybe it’s not the effects on blood sugar that matter, but these drugs have some kind of generalized “anti-addiction” effect on the brain?", "language": "english", "position": {"atoms": [{"position_id": 737, "txt": " Maybe it’s not the effects on blood sugar that matter, but these drugs have some kind of generalized “anti-addiction” effect on the brain?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[5]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": " Or maybe screwing around with blood sugar changes willpower?", "language": "english", "position": {"atoms": [{"position_id": 738, "txt": " Or maybe screwing around with blood sugar changes willpower?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[5]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": " Or maybe when people get thinner, that changes how the brain works?", "language": "english", "position": {"atoms": [{"position_id": 739, "txt": " Or maybe when people get thinner, that changes how the brain works?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[5]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": " Who knows.", "language": "english", "position": {"atoms": [{"position_id": 740, "txt": " Who knows.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[5]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 9, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "Beyond anecdotes, are some observational studies and animal experiments suggesting they might help with addiction (OKeefe et al.", "language": "english", "position": {"atoms": [{"position_id": 742, "txt": "Beyond anecdotes, are some observational studies and animal experiments suggesting they might help with addiction ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[6]/span[1]"}, {"position_id": 744, "txt": "(OKeefe et al.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[6]/a[1]"}]}, "tags": [], 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{"atoms": [{"position_id": 775, "txt": "I admit this looks good.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": " This is indeed a figure in which the orange bar is higher than the blue bar.", "language": "english", "position": {"atoms": [{"position_id": 776, "txt": " This is indeed a figure in which the orange bar is higher than the blue bar.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": " However:", "language": "english", "position": {"atoms": [{"position_id": 777, "txt": " However:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 37, "edu_l1_label": "IOS"}, 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"position": {"atoms": [{"position_id": 781, "txt": " What’s shown is the result of a ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/ol/li[1]/p/span[1]"}, {"position_id": 783, "txt": "regression,", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/ol/li[1]/p/em"}, {"position_id": 785, "txt": " which was calculated on a non-random subset of subjects.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/ol/li[1]/p/span[2]"}]}, "tags": ["li", "em"], "label": "content", "web_segment_id": 16, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "There are other figures.", "language": "english", "position": {"atoms": [{"position_id": 787, "txt": "There are other figures.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/ol/li[2]/p"}]}, "tags": ["li"], "label": "content", "web_segment_id": 17, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": " Why isn’t 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"global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": " They selected them according to the DSM-5 definition of “alcohol use disorder” which happens to be more than 14 drinks per week for men and 7 drinks per week for women, plus at least 2 heavy drinking episodes.", "language": "english", "position": {"atoms": [{"position_id": 793, "txt": " They selected them according to the DSM-5 definition of “alcohol use disorder” which happens to be more than 14 drinks per week for men and 7 drinks per week for women, plus at least 2 heavy drinking episodes.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": " Perhaps because of this lower threshold, 34 of the subjects were women.", "language": "english", "position": {"atoms": [{"position_id": 794, "txt": " Perhaps because of this lower threshold, 34 of the subjects were women.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "The trial lasted 9 weeks.", "language": "english", "position": {"atoms": [{"position_id": 796, "txt": "The trial lasted 9 weeks.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": " During it, half of the subjects were given weekly placebo injections.", "language": "english", "position": {"atoms": [{"position_id": 797, "txt": " During it, half of the subjects were given weekly placebo injections.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": " The other half were given weekly injections of increasing amounts of semaglutide:", "language": "english", "position": {"atoms": [{"position_id": 798, "txt": " The other half were given weekly injections of increasing amounts of semaglutide:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": " 0.25 mg for 4 weeks, then 0.5 mg for 4 weeks, and then 0.5 or 1 mg in the last week, depending on a doctor’s judgement.", "language": "english", "position": {"atoms": [{"position_id": 799, "txt": " 0.25 mg for 4 weeks, then 0.5 mg for 4 weeks, and then 0.5 or 1 mg in the last week, depending on a doctor’s judgement.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "Outcome 1:", "language": "english", "position": {"atoms": [{"position_id": 801, "txt": "Outcome 1:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/h2[2]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 21, "global_sentence_id": 51, "edu_l1_label": "BOS"}, {"txt": " Drinking", "language": "english", "position": {"atoms": [{"position_id": 802, "txt": " Drinking", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/h2[2]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 21, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "The first outcome was to simply ask people to record how much they drank in daily life.", "language": "english", "position": {"atoms": [{"position_id": 804, "txt": "The first outcome was to simply ask people to record how much they drank in daily life.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": " Here are the results:", "language": "english", "position": {"atoms": [{"position_id": 805, "txt": " Here are the results:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2ca3H4qnR1I1UVWUb2WiYUN.jpeg", "language": "english", "position": {"atoms": [{"position_id": 326, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2ca3H4qnR1I1UVWUb2WiYUN.jpeg", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/div[3]/figure/a/div/picture/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 23, "global_sentence_id": 55, "edu_l1_label": "EDU_O"}, {"txt": "If I understand correctly, at some point 6 out of the 24 subjects in the placebo group stopped providing these records, and 3 out of 24 in the semaglutide group.", "language": "english", "position": {"atoms": [{"position_id": 807, "txt": "If I understand correctly, at some point 6 out of the 24 subjects in the placebo group stopped providing these records, and 3 out of 24 in the semaglutide group.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": " I believe the above shows the data for whatever subset of people were still cooperating on each week.", "language": "english", "position": {"atoms": [{"position_id": 808, "txt": " I believe the above shows the data for whatever subset of people were still cooperating on each week.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": " It’s not clear to me what bias this might produce.", "language": "english", "position": {"atoms": [{"position_id": 809, "txt": " It’s not clear to me what bias this might produce.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "When I first saw that figure, I thought it looked good.", "language": "english", "position": {"atoms": [{"position_id": 811, "txt": "When I first saw that figure, I thought it looked good.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[14]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 25, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": " The lines are going down, and the semaglutide line is lower.", "language": "english", "position": {"atoms": [{"position_id": 812, "txt": " The lines are going down, and the semaglutide line is lower.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[14]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 25, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": " But then I checked the appendix.", "language": "english", "position": {"atoms": [{"position_id": 813, "txt": " But then I checked the appendix.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[14]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 25, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": " (Protip:", "language": "english", "position": {"atoms": [{"position_id": 814, "txt": " (Protip:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[14]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 25, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": " Always check the appendix.)", "language": "english", "position": {"atoms": [{"position_id": 815, "txt": " ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[14]/span[1]"}, {"position_id": 817, "txt": "Always", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[14]/em"}, {"position_id": 819, "txt": " check the appendix.)", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[14]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 25, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": " This contains the same data, but stratified by if people were obese or not:", "language": "english", "position": {"atoms": [{"position_id": 820, "txt": " This contains the same data, but stratified by if people were obese or not:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[14]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 25, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "<img 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"language": "english", "position": {"atoms": [{"position_id": 823, "txt": " It’s just that among the non-obese, the semaglutide group happened to start at a lower baseline.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 27, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "How to reconcile this with the earlier figure?", "language": "english", "position": {"atoms": [{"position_id": 825, "txt": "How to reconcile this with the earlier figure?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[16]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": " Well, if you look carefully, it doesn’t really show any benefit to semaglutide either.", "language": "english", "position": {"atoms": [{"position_id": 826, "txt": " Well, if you look carefully, it doesn’t really show any benefit to semaglutide either.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[16]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": " There’s a difference in the two curves, but it was there from the beginning.", "language": "english", "position": {"atoms": [{"position_id": 827, "txt": " There’s a difference in the two curves, but it was there from the beginning.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[16]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": " Over time, there’s no difference in the difference, which is what we’d expect to see if semaglutide was helping.", "language": "english", "position": {"atoms": [{"position_id": 828, "txt": " Over time, there’s no ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[16]/span[1]"}, {"position_id": 830, "txt": "difference", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[16]/em"}, {"position_id": 832, "txt": " in the difference, which is what we’d expect to see if semaglutide was helping.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[16]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 28, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "The paper provides other measurements like “changes in drinking days” and “changes in heavy drinking days” and “changes in drinks per drinking day”, but it’s the same story:", "language": "english", "position": {"atoms": [{"position_id": 834, "txt": "The paper provides other measurements like “changes in drinking days” and “changes in heavy drinking days” and “changes in drinks per drinking day”, but it’s the same story:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": " Either no benefit or no difference.", "language": "english", "position": {"atoms": [{"position_id": 835, "txt": " Either no benefit or no difference.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "So…", "language": "english", "position": {"atoms": [{"position_id": 837, "txt": "So…", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[18]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": " This is a small sample.", "language": "english", "position": {"atoms": [{"position_id": 838, "txt": " This is a small sample.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[18]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": " It only lasted nine weeks, and subjects spent many of them on pretty small doses.", "language": "english", "position": {"atoms": [{"position_id": 839, "txt": " It only lasted nine weeks, and subjects spent many of them on pretty small doses.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[18]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": " But this is far the miracle we hoped for.", "language": "english", "position": {"atoms": [{"position_id": 840, "txt": " But this is far the miracle we hoped for.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[18]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": " Some effect might be hiding in the noise, but what these results most look like is zero effect.", "language": "english", "position": {"atoms": [{"position_id": 841, "txt": " Some effect might be hiding in the noise, but what these results ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[18]/span[1]"}, {"position_id": 843, "txt": "most", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[18]/em[1]"}, {"position_id": 845, "txt": " look like is ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[18]/span[2]"}, {"position_id": 847, "txt": "zero", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[18]/em[2]"}, {"position_id": 849, "txt": " effect.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[18]/span[3]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 30, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "Outcome 2:", "language": "english", "position": {"atoms": [{"position_id": 851, "txt": "Outcome 2:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/h2[3]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 31, "global_sentence_id": 79, "edu_l1_label": "BOS"}, {"txt": " Delayed drinking", "language": "english", "position": {"atoms": [{"position_id": 852, "txt": " Delayed drinking", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/h2[3]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 31, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "There are also lab experiments.", "language": "english", "position": {"atoms": [{"position_id": 854, "txt": "There are also lab experiments.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": " They did these at both the start and end of the study.", "language": "english", "position": {"atoms": [{"position_id": 855, "txt": " They did these at both the start and end of the study.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": " In the first experiment, they basically set each subject’s favorite alcoholic drink in front of them and said them, “For each minute you wait before drinking this, we will pay you, up to a maximum of 50 minutes.”", "language": "english", "position": {"atoms": [{"position_id": 856, "txt": " In the first experiment, they basically set each subject’s favorite alcoholic drink in front of them and said them, “For each minute you wait before drinking this, we will pay you, up to a maximum of 50 minutes.”", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "How much were they paid, you ask?", "language": "english", "position": {"atoms": [{"position_id": 858, "txt": "How ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[1]"}, {"position_id": 860, "txt": "much", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/em[1]"}, {"position_id": 862, "txt": " were they paid, you ask?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 33, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": " Oddly, that’s not specified in the paper.", "language": "english", "position": {"atoms": [{"position_id": 863, "txt": " Oddly, that’s not specified in the paper.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": " It’s also not specified in the supplemental information.", "language": "english", "position": {"atoms": [{"position_id": 864, "txt": " It’s also not specified in the supplemental information.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": " It’s also not specified in the 289 page application they made to the FDA to be able to do this study.", "language": "english", "position": {"atoms": [{"position_id": 865, "txt": " It’s ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[2]"}, {"position_id": 867, "txt": "also", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/em[2]"}, {"position_id": 869, "txt": " not specified in the ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[3]"}, {"position_id": 871, "txt": "289 page application", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/a[1]"}, {"position_id": 873, "txt": " they made to the FDA to be able to do this study.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[4]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 33, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": " (Good times!)", "language": "english", "position": {"atoms": [{"position_id": 874, "txt": " (Good times!)", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[4]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": " But there is a citation for a different paper in which people were paid $0.24/minute, decreasing by $0.01 / minute every five minutes.", "language": "english", "position": {"atoms": [{"position_id": 875, "txt": " But there is a citation for a ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[4]"}, {"position_id": 877, "txt": "different paper", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/a[2]"}, {"position_id": 879, "txt": " in which people were paid $0.24/minute, decreasing by $0.01 / minute every five minutes.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[5]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": " If they used the same amounts here, then the maximum subjects could earn was $9.75.", "language": "english", "position": {"atoms": [{"position_id": 880, "txt": " If they used the same amounts here, then the maximum subjects could earn was $9.75.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[20]/span[5]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "Anyway, here are the results:", "language": "english", "position": {"atoms": [{"position_id": 882, "txt": "Anyway, here are the results:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1i5pWPonx732KZ8Ln2Q8ddK.jpeg", "language": "english", "position": {"atoms": [{"position_id": 375, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1i5pWPonx732KZ8Ln2Q8ddK.jpeg", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/div[5]/figure/a/div/picture/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 35, "global_sentence_id": 92, "edu_l1_label": "EDU_O"}, {"txt": "So…", "language": "english", "position": {"atoms": [{"position_id": 884, "txt": "So…", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": " basically nothing?", "language": "english", "position": {"atoms": [{"position_id": 885, "txt": " basically nothing?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": " Because almost everyone waited the full 50 minutes?", "language": "english", "position": {"atoms": [{"position_id": 886, "txt": " Because almost everyone waited the full 50 minutes?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": " And they did this for only $9.75?", "language": "english", "position": {"atoms": [{"position_id": 887, "txt": " And they did this for only $9.75?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": " Seems weird.", "language": "english", "position": {"atoms": [{"position_id": 888, "txt": " Seems weird.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "I don’t really see this as evidence against semaglutide.", "language": "english", "position": {"atoms": [{"position_id": 890, "txt": "I don’t really see this as evidence ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[23]/span[1]"}, {"position_id": 892, "txt": "against", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[23]/em"}, {"position_id": 894, "txt": " semaglutide.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[23]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 37, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": " Rather, I think this didn’t end up proving much in either direction.", "language": "english", "position": {"atoms": [{"position_id": 895, "txt": " Rather, I think this didn’t end up proving much in either direction.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[23]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "Outcome 3:", "language": "english", "position": {"atoms": [{"position_id": 897, "txt": "Outcome 3:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/h2[4]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 38, "global_sentence_id": 100, "edu_l1_label": "BOS"}, {"txt": " Laboratory drinking", "language": "english", "position": {"atoms": [{"position_id": 898, "txt": " Laboratory drinking", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/h2[4]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 38, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "So what’s with that initial figure?", "language": "english", "position": {"atoms": [{"position_id": 900, "txt": "So what’s with that initial figure?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": " Well, after the delayed drinking experiment was over, the subjects were given 2 hours to drink as much as they wanted, up to some kind of safe limit.", "language": "english", "position": {"atoms": [{"position_id": 901, "txt": " Well, after the delayed drinking experiment was over, the subjects were given 2 hours to drink as much as they wanted, up to some kind of safe limit.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": " This is what led to the figure everyone is so excited about:", "language": "english", "position": {"atoms": [{"position_id": 902, "txt": " This is what led to the figure everyone is so excited about:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 39, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1l7dsW1lCUj12yubodgmRp.png", "language": "english", "position": {"atoms": [{"position_id": 393, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1l7dsW1lCUj12yubodgmRp.png", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/div[6]/figure/a/div/picture/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 40, "global_sentence_id": 105, "edu_l1_label": "EDU_O"}, {"txt": "When I first saw this, I too thought it looked good.", "language": "english", "position": {"atoms": [{"position_id": 904, "txt": "When I first saw this, I too thought it looked good.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[25]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": " I thought it looked so good that I started writing this post, eager to share the good news.", "language": "english", "position": {"atoms": [{"position_id": 905, "txt": " I thought it looked ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[25]/span[1]"}, {"position_id": 907, "txt": "so", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[25]/em"}, {"position_id": 909, "txt": " good that I started writing this post, eager to share the good news.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[25]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 41, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": " But at some point I read the caption more carefully and my Spidey sense started tingling.", "language": "english", "position": {"atoms": [{"position_id": 910, "txt": " But at some point I read the caption more carefully and my Spidey sense started tingling.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[25]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/14aEfk3dMbRL30aWs93wXaOe.jpeg", "language": "english", "position": {"atoms": [{"position_id": 405, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/14aEfk3dMbRL30aWs93wXaOe.jpeg", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/div[7]/figure/a/div/picture/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 42, "global_sentence_id": 109, "edu_l1_label": "EDU_O"}, {"txt": "There’s two issues here.", "language": "english", "position": {"atoms": [{"position_id": 912, "txt": "There’s two issues here.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[26]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": " First of all, subjects were free to skip this part of the experiment, and a lot did.", "language": "english", "position": {"atoms": [{"position_id": 913, "txt": " First of all, subjects were free to skip this part of the experiment, and a lot did.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[26]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": " Only 12 of the 24 subjects in the placebo group and 13 of 24 in the semaglutide group actually did it.", "language": "english", "position": {"atoms": [{"position_id": 914, "txt": " Only 12 of the 24 subjects in the placebo group and 13 of 24 in the semaglutide group actually did it.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[26]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": " This means the results are non-randomized.", "language": "english", "position": {"atoms": [{"position_id": 915, "txt": " This means the results are ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[26]/span[1]"}, {"position_id": 917, "txt": "non-randomized", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[26]/em"}, {"position_id": 919, "txt": ".", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[26]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 43, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "I mean, the people who declined to do this experiment would probably have drunk different amounts than those who agreed, right?", "language": "english", "position": {"atoms": [{"position_id": 921, "txt": "I mean, the people who declined to do this experiment would probably have drunk different amounts than those who agreed, right?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": " So if semaglutide had any influence on people decision to participate (e.g. because it changed their relationship with alcohol, which is the hypothesis of this research) then the results would be biased.", "language": "english", "position": {"atoms": [{"position_id": 922, "txt": " So if semaglutide had any influence on people decision to participate (e.g. because it changed their relationship with alcohol, which is the hypothesis of this research) then the results would be biased.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": " That bias could potentially go in either direction.", "language": "english", "position": {"atoms": [{"position_id": 923, "txt": " That bias could potentially go in either direction.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": " But basically this means we’re sort of working with observational data.", "language": "english", "position": {"atoms": [{"position_id": 924, "txt": " But basically this means we’re sort of working with observational data.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "The second issue is that what’s being show in this plot is not data.", "language": "english", "position": {"atoms": [{"position_id": 926, "txt": "The second issue is that what’s being show in this plot is ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[28]/span[1]"}, {"position_id": 928, "txt": "not data", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[28]/strong[1]"}, {"position_id": 930, "txt": ".", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[28]/span[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": " I know it looks like data, but what’s shown are numbers derived from regression coefficients.", "language": "english", "position": {"atoms": [{"position_id": 931, "txt": " I know it ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[28]/span[2]"}, {"position_id": 933, "txt": "looks", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[28]/em"}, {"position_id": 935, "txt": " like data, but what’s shown are ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[28]/span[3]"}, {"position_id": 937, "txt": "numbers derived from regression coefficients", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[28]/strong[2]"}, {"position_id": 939, "txt": ".", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[28]/span[4]"}]}, "tags": ["em", "strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": " In the appendix, you can find this table:", "language": "english", "position": {"atoms": [{"position_id": 940, "txt": " In the appendix, you can find this table:", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[28]/span[4]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2aP4dW3Ky5ai1eNYch3DdEGN.jpeg", "language": "english", "position": {"atoms": [{"position_id": 426, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2aP4dW3Ky5ai1eNYch3DdEGN.jpeg", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/div[8]/figure/a/div/picture/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 46, "global_sentence_id": 121, "edu_l1_label": "EDU_O"}, {"txt": "Basically, they fit a regression to predict how much people drank in this experiment at the end of the study (“g-EtOH”) based on (a) how much they drank during the same experiment at the start of the study (“Baseline”) (b) their sex, and (c) if they got semaglutide or not (“Condition”).", "language": "english", "position": {"atoms": [{"position_id": 942, "txt": "Basically, they fit a regression to predict how much people drank in this experiment at the end of the study (“g-EtOH”) based on (a) how much they drank during the same experiment at the ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[29]/span[1]"}, {"position_id": 944, "txt": "start", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[29]/em[1]"}, {"position_id": 946, "txt": " of the study (“Baseline”) (b) their sex, and (c) if they got semaglutide or not (“Condition”).", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[29]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 47, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": " Those coefficients are in the B column.", "language": "english", "position": {"atoms": [{"position_id": 947, "txt": " Those coefficients are in the ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[29]/span[2]"}, {"position_id": 949, "txt": "B", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[29]/em[2]"}, {"position_id": 951, "txt": " column.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[29]/span[3]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 47, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "How exactly they got from these coefficients to the numbers in the figure isn’t entirely clear to me.", "language": "english", "position": {"atoms": [{"position_id": 953, "txt": "How exactly they got from these coefficients to the numbers in the figure isn’t entirely clear to me.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[30]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": " But using a plot digitizer I found that the figure shows ~56.9 g for the placebo group and ~33.3 g for the semaglutide group, for a difference of ~23.6 g. I believe that difference comes from the regression coefficient for “Condition” (-25.32) plus some adjustments for the fact that sex and baseline consumption vary a bit between the two groups.", "language": "english", "position": {"atoms": [{"position_id": 954, "txt": " But using a ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[30]/span[1]"}, {"position_id": 956, "txt": "plot digitizer", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[30]/a"}, {"position_id": 958, "txt": " I found that the figure shows ~56.9 g for the placebo group and ~33.3 g for the semaglutide group, for a difference of ~23.6 g. I believe that difference comes from the regression coefficient for “Condition” (-25.32) plus some adjustments for the fact that sex and baseline consumption vary a bit between the two groups.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[30]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": "So…", "language": "english", "position": {"atoms": [{"position_id": 960, "txt": "So…", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[31]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": " that’s not nothing!", "language": "english", "position": {"atoms": [{"position_id": 961, "txt": " that’s not nothing!", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[31]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": " This is some evidence in favor of semaglutide being helpful.", "language": "english", "position": {"atoms": [{"position_id": 962, "txt": " This is ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[31]/span[1]"}, {"position_id": 964, "txt": "some", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[31]/em"}, {"position_id": 966, "txt": " evidence in favor of semaglutide being helpful.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[31]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 49, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": " But it’s still basically just a regression coefficient computed on a non-randomized sample.", "language": "english", "position": {"atoms": [{"position_id": 967, "txt": " But it’s still basically just a regression coefficient computed on a non-randomized sample.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[31]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": " Which is sad, since the point of RCTs is to avoid resorting to regression coefficients on non-randomized samples.", "language": "english", "position": {"atoms": [{"position_id": 968, "txt": " Which is sad, since the point of RCTs is to avoid resorting to regression coefficients on non-randomized samples.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[31]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": " Thus, I put much more faith in outcome #1.", "language": "english", "position": {"atoms": [{"position_id": 969, "txt": " Thus, I put much more faith in outcome #1.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[31]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "Discussion", "language": "english", "position": {"atoms": [{"position_id": 971, "txt": "Discussion", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/h2[5]"}]}, "tags": ["h2"], "label": "title1", "web_segment_id": 50, "global_sentence_id": 132, "edu_l1_label": "BOS"}, {"txt": "To summarize, the most reliable outcome of this paper was how much people reported drinking in daily life.", "language": "english", "position": {"atoms": [{"position_id": 973, "txt": "To summarize, the most reliable outcome of this paper was how much people reported drinking in daily life.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": " No effect was observed there.", "language": "english", "position": {"atoms": [{"position_id": 974, "txt": " No effect was observed there.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": " The laboratory experiment suggests some effect, but the evidence is much weaker.", "language": "english", "position": {"atoms": [{"position_id": 975, "txt": " The laboratory experiment suggests some effect, but the evidence is much weaker.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": " When you combine the two, the results of this paper are quite bad, at least relative to my (high) hopes.", "language": "english", "position": {"atoms": [{"position_id": 976, "txt": " When you combine the two, the results of this paper are quite bad, at least relative to my (high) hopes.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "Obviously, just because the results are disappointing does not mean the research was bad.", "language": "english", "position": {"atoms": [{"position_id": 978, "txt": "Obviously, just because the ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/span[1]"}, {"position_id": 980, "txt": "results", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/em[1]"}, {"position_id": 982, "txt": " are disappointing does not mean the research was bad.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 52, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": " The measure of science is the importance of the questions, not what the answers happen to be.", "language": "english", "position": {"atoms": [{"position_id": 983, "txt": " The measure of science is the importance of the questions, not what the answers happen to be.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": " It’s unfortunate that a non-randomized sample participated in the final drinking experiment, but what were they supposed to do, force them?", "language": "english", "position": {"atoms": [{"position_id": 984, "txt": " It’s unfortunate that a non-randomized sample participated in the final drinking experiment, but what were they supposed to do, force them?", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 139, "edu_l1_label": "IOS"}, {"txt": " This experiment involved giving a synthetic hormone and an addictive substance with people with a use disorder.", "language": "english", "position": {"atoms": [{"position_id": 985, "txt": " This experiment involved giving a synthetic hormone and an addictive substance with people with a use disorder.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 140, "edu_l1_label": "IOS"}, {"txt": " If you have any doubts about the amount of work necessary to bring that to reality, I strongly encourage you to look at the FDA application.", "language": "english", "position": {"atoms": [{"position_id": 986, "txt": " If you have any doubts about the amount of work necessary to bring that to reality, I ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/span[2]"}, {"position_id": 988, "txt": "strongly", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/em[2]"}, {"position_id": 990, "txt": " encourage you to look at the ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/span[3]"}, {"position_id": 992, "txt": "FDA application", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/a"}, {"position_id": 994, "txt": ".", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[33]/span[4]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 52, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "OK, fine, I admit that I do feel this paper “hides the bodies” slightly too effectively, in a way that could mislead people who aren’t experts or that don’t read the paper carefully.", "language": "english", "position": {"atoms": [{"position_id": 996, "txt": "OK, fine, I admit that I do feel this paper “hides the bodies” slightly too effectively, in a way that could mislead people who aren’t experts or that don’t read the paper carefully.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[34]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": " I think I’m on firm ground with that complaint, since in the discussions I’ve seen, 100% of people were in fact misled.", "language": "english", "position": {"atoms": [{"position_id": 997, "txt": " I think I’m on firm ground with that complaint, since in the discussions I’ve seen, 100% of people ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[34]/span[1]"}, {"position_id": 999, "txt": "were", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[34]/em"}, {"position_id": 1001, "txt": " in fact misled.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[34]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 53, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": " But I’m sympathetic to the reality that most reviewers don’t share my enlightened views about judging science, and that a hypothetical paper written with my level of skepticism would never be published.", "language": "english", "position": {"atoms": [{"position_id": 1002, "txt": " But I’m sympathetic to the reality that most reviewers don’t share my enlightened views about judging science, and that a hypothetical paper written with my level of skepticism would never be published.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[34]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "(People think the problem with science is that it’s too woke.", "language": "english", "position": {"atoms": [{"position_id": 1004, "txt": "(People think the problem with science is that it’s too woke.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[35]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": " While I don’t really disagree, I still think the bigger problem is screwed up incentives that force everyone oversell everything, because that’s what you have to do to survive.", "language": "english", "position": {"atoms": [{"position_id": 1005, "txt": " While I don’t really disagree, I still think the bigger problem is screwed up incentives that force ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[35]/span[1]"}, {"position_id": 1007, "txt": "everyone", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[35]/em[1]"}, {"position_id": 1009, "txt": " oversell ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[35]/span[2]"}, {"position_id": 1011, "txt": "everything", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[35]/em[2]"}, {"position_id": 1013, "txt": ", because that’s what you have to do to survive.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[35]/span[3]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 54, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": " But that’s a story for another time.)", "language": "english", "position": {"atoms": [{"position_id": 1014, "txt": " But that’s a story for another time.)", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[35]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "Anyway, despite these results, I’m still hopeful that GLP-1 drugs might help with addiction.", "language": "english", "position": {"atoms": [{"position_id": 1016, "txt": "Anyway, despite these results, I’m still hopeful that GLP-1 drugs might help with addiction.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 148, "edu_l1_label": "IOS"}, {"txt": " This is a relatively small study, and it only lasted 9 weeks.", "language": "english", "position": {"atoms": [{"position_id": 1017, "txt": " This is a relatively small study, and it only lasted 9 weeks.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": " I don’t think we can dismiss the huge number of anecdotes yet.", "language": "english", "position": {"atoms": [{"position_id": 1018, "txt": " I don’t think we can dismiss the huge number of anecdotes yet.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": " And the laboratory experiment was at least a little promising.", "language": "english", "position": {"atoms": [{"position_id": 1019, "txt": " And the laboratory experiment was at least a little promising.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": " Given how destructive addictions can be, I vote for more research in this direction.", "language": "english", "position": {"atoms": [{"position_id": 1020, "txt": " Given how destructive addictions can be, I vote for more research in this direction.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": " Fortunately, given the billions of dollars to be made, that’s sure to happen.", "language": "english", "position": {"atoms": [{"position_id": 1021, "txt": " Fortunately, given the billions of dollars to be made, that’s sure to happen.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "But given just how miraculous semaglutide is for obesity, and given the miraculous anecdotes, I don’t see how to spin this paper as anything but a letdown.", "language": "english", "position": {"atoms": [{"position_id": 1023, "txt": "But given just how miraculous semaglutide is for obesity, and given the miraculous ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[37]/span[1]"}, {"position_id": 1025, "txt": "anecdotes", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[37]/em[1]"}, {"position_id": 1027, "txt": ", I don’t see how to spin this paper as anything but a letdown.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[37]/span[2]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 56, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": " It provides weak evidence for any effect and comes close to excluding the possibility of another miracle.", "language": "english", "position": {"atoms": [{"position_id": 1028, "txt": " It provides weak evidence for any effect and comes close to ", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[37]/span[2]"}, {"position_id": 1030, "txt": "excluding", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[37]/em[2]"}, {"position_id": 1032, "txt": " the possibility of another miracle.", "x": "/html/body/div/div[1]/div[2]/div/div[1]/div/div/article/div[4]/div[2]/div/p[37]/span[3]"}]}, "tags": ["em"], "label": "content", "web_segment_id": 56, "global_sentence_id": 155, "edu_l1_label": 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# The first RCT for GLP-1 drugs and alcoholism isn't what we hoped ## What they did ## Outcome 1: Drinking ## Outcome 2: Delayed drinking ## Outcome 3: Laboratory drinking ## Discussion
e1ce618e-986a-47b7-9657-c9870f3080af
web
test/raw_web_htmls/e1ce618e-986a-47b7-9657-c9870f3080af.html
https://www.huxiu.com/article/4054544.html?f=rss
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"即使后来有苏辛的豪放词,也必须豪宕之中蕴韶秀,刚健之中显婀娜。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[23]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 12, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "细腻柔婉是词的正宗,刚健豪放则是它的变调。", "language": "chinese", "position": {"atoms": [{"position_id": 400, "txt": "细腻柔婉是词的正宗,刚健豪放则是它的变调。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[23]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 12, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "词具有长短句式、音调节拍以及配乐可歌的特性,细腻柔婉这一特征正是与词的音乐性息息相关。", "language": "chinese", "position": {"atoms": [{"position_id": 401, "txt": "词具有长短句式、音调节拍以及配乐可歌的特性,细腻柔婉这一特征正是与词的音乐性息息相关。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[23]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 12, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "自先秦起,中国的诗歌就与音乐关系紧密,《诗经》、部分《楚辞》及汉乐府,都是必须入乐演唱的,《诗经》风雅颂的划分标准就是音乐。", "language": "chinese", "position": {"atoms": [{"position_id": 403, "txt": "自先秦起,中国的诗歌就与音乐关系紧密,《诗经》、部分《楚辞》及汉乐府,都是必须入乐演唱的,《诗经》风雅颂的划分标准就是音乐。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "然而,到了汉代,能够演唱《诗经》《楚辞》的人变得愈来愈少。", "language": "chinese", "position": {"atoms": [{"position_id": 404, "txt": "然而,到了汉代,能够演唱《诗经》《楚辞》的人变得愈来愈少。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "六朝时期,汉乐府的演唱也面临着同样的困境。", "language": "chinese", "position": {"atoms": [{"position_id": 405, "txt": "六朝时期,汉乐府的演唱也面临着同样的困境。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[25]"}]}, "tags": [], "label": 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{"txt": "但大多数情况下,直接以诗入曲很难演唱,必须加入和声和泛声才能与曲拍相合,像广为传唱的《阳关三叠》也得破句。", "language": "chinese", "position": {"atoms": [{"position_id": 413, "txt": "但大多数情况下,直接以诗入曲很难演唱,必须加入和声和泛声才能与曲拍相合,像广为传唱的《阳关三叠》也得破句。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "中唐以后开始有文人按乐曲填词,如白居易的《江南好》之类。", "language": "chinese", "position": {"atoms": [{"position_id": 414, "txt": "中唐以后开始有文人按乐曲填词,如白居易的《江南好》之类。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[27]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "词与《诗经》、汉乐府的区别,一是它们各自所配的音乐不同,二是它们创作过程不同。", "language": "chinese", "position": {"atoms": [{"position_id": 416, "txt": "词与《诗经》、汉乐府的区别,一是它们各自所配的音乐不同,二是它们创作过程不同。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[29]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 15, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "前二者是依歌辞谱曲,后者是依曲填写歌辞,即按乐章分阙的数目,按曲拍定句的长短,按乐声选字的平仄,这就形成了一种不同于诗的长短句体裁。", "language": "chinese", "position": {"atoms": [{"position_id": 418, "txt": "前二者是依歌辞谱曲,后者是依曲填写歌辞,即按乐章分阙的数目,按曲拍定句的长短,按乐声选字的平仄,这就形成了一种不同于诗的长短句体裁。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[29]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 15, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "从上下片换头或不换头,就能判断这首词乐章的特点。", "language": "chinese", "position": {"atoms": [{"position_id": 419, "txt": "从上下片换头或不换头,就能判断这首词乐章的特点。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[29]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 15, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "不换头表明上下乐章完全一样,换头则说明上下乐章有变化。", "language": "chinese", "position": {"atoms": [{"position_id": 420, "txt": "不换头表明上下乐章完全一样,换头则说明上下乐章有变化。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[29]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 15, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "词的上下片节拍完全相同称“重头”,散曲中一曲调多遍重复填写也叫“重头”。", "language": "chinese", "position": {"atoms": [{"position_id": 421, "txt": "词的上下片节拍完全相同称“重头”,散曲中一曲调多遍重复填写也叫“重头”。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[29]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 15, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "曲调由慢拍转为快拍叫“入破”。", "language": "chinese", "position": {"atoms": [{"position_id": 422, "txt": "曲调由慢拍转为快拍叫“入破”。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[29]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 15, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "燕乐的娱乐特性,也决定了词的内容和风格。", "language": "chinese", "position": {"atoms": [{"position_id": 424, "txt": "燕乐的娱乐特性,也决定了词的内容和风格。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[31]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 16, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "大多数词的题材不出于男欢女爱,词境只限于闺阁园亭,手法大多委婉深曲,情调大多柔媚轻艳,语言也大多凝炼精巧。", "language": "chinese", "position": {"atoms": [{"position_id": 425, "txt": "大多数词的题材不出于男欢女爱,词境只限于闺阁园亭,手法大多委婉深曲,情调大多柔媚轻艳,语言也大多凝炼精巧。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[31]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 16, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "波澜壮阔的社会生活、豪迈激昂的英雄浩气和金戈铁马的战场斯杀,基本无法在词中得到表现,因为这些内容难以入乐歌唱。", "language": "chinese", "position": {"atoms": [{"position_id": 427, "txt": "波澜壮阔的社会生活、豪迈激昂的英雄浩气和金戈铁马的战场斯杀,基本无法在词中得到表现,因为这些内容难以入乐歌唱。", "x": 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"“暖”而说“乍”,“冷”而言“轻”;", "language": "chinese", "position": {"atoms": [{"position_id": 441, "txt": "“暖”而说“乍”,“冷”而言“轻”;", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "风吹影动以“弄”字来刻画,风吹角响以“醒”字来形容,体物既微妙,下字更精细,抒情也含蓄有味。", "language": "chinese", "position": {"atoms": [{"position_id": 442, "txt": "风吹影动以“弄”字来刻画,风吹角响以“醒”字来形容,体物既微妙,下字更精细,抒情也含蓄有味。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "这首词以纤柔清丽的词风,表现了词人细腻幽微的感受,在艺术上堪称绝唱。", "language": "chinese", "position": {"atoms": [{"position_id": 443, "txt": "这首词以纤柔清丽的词风,表现了词人细腻幽微的感受,在艺术上堪称绝唱。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 18, 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"宋代文人具有高雅的审美趣味和极高的文化素养,同时也表现出强烈的幻灭感。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[39]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 20, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "即使旷达如苏东坡、刚正如范仲淹、富贵如晏殊,他们的词中也常表现出幻灭、颓唐、倦怠的情绪,描绘出一些优美、精致却狭小的境界。", "language": "chinese", "position": {"atoms": [{"position_id": 453, "txt": "即使旷达如苏东坡、刚正如范仲淹、富贵如晏殊,他们的词中也常表现出幻灭、颓唐、倦怠的情绪,描绘出一些优美、精致却狭小的境界。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[39]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 20, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "超脱旷达的苏轼在诗词中常说“古今如梦”、“君臣一梦”、“人间如梦”、“未转头时皆梦”。", "language": "chinese", "position": {"atoms": [{"position_id": 455, "txt": "超脱旷达的苏轼在诗词中常说“古今如梦”、“君臣一梦”、“人间如梦”、“未转头时皆梦”。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "既有过“世事一场大梦,人生几度秋凉”的感伤,亦有“人生如梦,一樽还酹江月”的慨叹。", "language": "chinese", "position": {"atoms": [{"position_id": 456, "txt": "既有过“世事一场大梦,人生几度秋凉”的感伤,亦有“人生如梦,一樽还酹江月”的慨叹。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "再看范仲淹,无论是在《苏幕遮》中表达“黯乡魂,追旅思”“酒入愁肠,化作相思泪”的愁绪,还是在《渔家傲·秋思》中抒发“浊酒一杯家万里,燕然未勒归无计”“人不寐,将军白发征夫泪”的苦闷的范仲淹,似乎都与执笔“先忧天下之忧而忧,后乐天下之乐而乐”时的他判若两人。", "language": "chinese", "position": {"atoms": [{"position_id": 458, "txt": "再看范仲淹,无论是在《苏幕遮》中表达“黯乡魂,追旅思”“酒入愁肠,化作相思泪”的愁绪,还是在《渔家傲·秋思》中抒发“浊酒一杯家万里,燕然未勒归无计”“人不寐,将军白发征夫泪”的苦闷的范仲淹,似乎都与执笔“先忧天下之忧而忧,后乐天下之乐而乐”时的他判若两人。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "又如晏殊《浣溪沙》中写道,“一曲新词酒一杯,去年天气旧亭台,夕阳西下几时回?", "language": "chinese", "position": {"atoms": [{"position_id": 460, "txt": "又如晏殊《浣溪沙》中写道,“一曲新词酒一杯,去年天气旧亭台,夕阳西下几时回?", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[45]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "无可奈何花落去,似曾相识燕归来,小园香径独徘徊。”", "language": "chinese", "position": {"atoms": [{"position_id": 461, "txt": "无可奈何花落去,似曾相识燕归来,小园香径独徘徊。”", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[45]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "晏殊一生安享尊荣富贵,是当时所有男人都艳羡的“太平宰相”,可他仍然感到“无可奈何”,致慨于“落花伤春”,徘徊于“小园香径”,乍读这两首词还会误以为作者是多愁善感的伤春少女。", "language": "chinese", "position": {"atoms": [{"position_id": 462, "txt": "晏殊一生安享尊荣富贵,是当时所有男人都艳羡的“太平宰相”,可他仍然感到“无可奈何”,致慨于“落花伤春”,徘徊于“小园香径”,乍读这两首词还会误以为作者是多愁善感的伤春少女。", "x": 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"txt": "“黄金榜上,偶失龙头望。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "明代暂遗贤,如何向?", "language": "chinese", "position": {"atoms": [{"position_id": 467, "txt": "明代暂遗贤,如何向?", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "未遂风云便,争不恣狂荡?", "language": "chinese", "position": {"atoms": [{"position_id": 468, "txt": "未遂风云便,争不恣狂荡?", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "何须论得丧。", "language": "chinese", "position": {"atoms": [{"position_id": 469, "txt": "何须论得丧。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "才子词人,自是白衣卿相!", "language": "chinese", "position": {"atoms": [{"position_id": 470, "txt": "才子词人,自是白衣卿相!", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "烟花巷陌,依约丹青屏障。", "language": "chinese", "position": {"atoms": [{"position_id": 471, "txt": "烟花巷陌,依约丹青屏障。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[47]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "幸有意中人,堪寻访。", "language": "chinese", "position": {"atoms": [{"position_id": 472, "txt": "幸有意中人,堪寻访。", "x": 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549, "txt": "春如旧,人空瘦,泪痕红浥鲛绡透。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[67]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "桃花落,闲池阁。", "language": "chinese", "position": {"atoms": [{"position_id": 550, "txt": "桃花落,闲池阁。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[67]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "山盟虽在,锦书难托。", "language": "chinese", "position": {"atoms": [{"position_id": 551, "txt": "山盟虽在,锦书难托。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[67]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "莫,莫,莫!”", "language": "chinese", "position": {"atoms": [{"position_id": 552, "txt": "莫,莫,莫!”", "x": 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"/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[91]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 46, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "宋代词人有的严于诗、词之别,恪守词“别是一家”,强调歌词与曲调要宫商相协。", "language": "chinese", "position": {"atoms": [{"position_id": 608, "txt": "宋代词人有的严于诗、词之别,恪守词“别是一家”,强调歌词与曲调要宫商相协。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "有的则借鉴邻近文体的表现方法,甚至“以诗为词”或“以文为词”,填词时并不“醉心于音律”。", "language": "chinese", "position": {"atoms": [{"position_id": 609, "txt": "有的则借鉴邻近文体的表现方法,甚至“以诗为词”或“以文为词”,填词时并不“醉心于音律”。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 196, "edu_l1_label": "IOS"}, {"txt": "这种对词的不同态度导致了各自词风的差异,前者词风多婉约,后者词风多豪放。", "language": "chinese", "position": {"atoms": [{"position_id": 610, "txt": "这种对词的不同态度导致了各自词风的差异,前者词风多婉约,后者词风多豪放。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 197, "edu_l1_label": "IOS"}, {"txt": "划分豪放与婉约的关键是曲调和词风,十七八岁女子执红牙板歌“杨柳岸晓风残月”,其情调风格自不同于关西大汉绰铁板唱“大江东去”。", "language": "chinese", "position": {"atoms": [{"position_id": 611, "txt": "划分豪放与婉约的关键是曲调和词风,十七八岁女子执红牙板歌“杨柳岸晓风残月”,其情调风格自不同于关西大汉绰铁板唱“大江东去”。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": "当然,这仅是从其大略而言,至于每一个词人,婉约而偶涉粗犷者有之,豪放者常近婉约更为多见。", "language": "chinese", "position": {"atoms": [{"position_id": 612, "txt": "当然,这仅是从其大略而言,至于每一个词人,婉约而偶涉粗犷者有之,豪放者常近婉约更为多见。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": "落实到每一首词情况还要复杂,许多词兼有英雄之气与儿女之情。", "language": "chinese", "position": {"atoms": [{"position_id": 613, "txt": "落实到每一首词情况还要复杂,许多词兼有英雄之气与儿女之情。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 200, "edu_l1_label": "IOS"}, {"txt": "因此,豪放与婉约之分切忌过于拘泥。", "language": "chinese", "position": {"atoms": [{"position_id": 614, "txt": "因此,豪放与婉约之分切忌过于拘泥。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 201, "edu_l1_label": "IOS"}, {"txt": "词的发展经唐五代至北宋而南宋,词体的兴盛也由小令到中调而至慢词。", "language": "chinese", "position": {"atoms": [{"position_id": 616, "txt": "词的发展经唐五代至北宋而南宋,词体的兴盛也由小令到中调而至慢词。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[95]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 202, "edu_l1_label": "BOS"}, {"txt": "它终于从小溪曲涧汇成了泱漭巨流,从诗的旁支别流进而与诗齐驱并驾,与唐诗同为我国古代文学中璀璨夺目的明珠。", "language": "chinese", "position": {"atoms": [{"position_id": 617, "txt": "它终于从小溪曲涧汇成了泱漭巨流,从诗的旁支别流进而与诗齐驱并驾,与唐诗同为我国古代文学中璀璨夺目的明珠。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[95]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 203, "edu_l1_label": "IOS"}], "type": "WEB"}
# 戴建业:我们为什么爱宋词? ## 宋代的文化特征与宋代的士人心态 ## 宋词的文体特征与宋代士人的审美趣味 ## 宋代的词风与宋代的士风 ## 宋代商业的繁荣与宋词的娱乐性 ## 词风的嬗变与题材的拓展
6b7d0d70-5d4d-49dc-8107-579a05b3fe84
web
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"global_sentence_id": 53, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 29岁,直聘正教授!年薪60万元 ## 博士毕业硕果累累 ## 毅然辞去海外工作回国
948d4c87-5ae8-41d7-a228-f1398eea5f48
web
test/raw_web_htmls/948d4c87-5ae8-41d7-a228-f1398eea5f48.html
https://www.163.com/dy/article/JR40BARR051986UM.html
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# AWE 2025 | 奕斯伟计算带来智能化产品与方案 加速场景应用创新 ## 智能计算 打造AI场景新范式 ## Glass to Glass车载视觉解决方案 以全链路技术革新智慧座舱体验 ## 重塑人机交互 开启智能生活新篇章
ce3328ce-3e37-4b84-b316-11fadbd02917
web
test/raw_web_htmls/ce3328ce-3e37-4b84-b316-11fadbd02917.html
https://mp.weixin.qq.com/s?__biz=Mzg2OTY0MDk0NQ==&mid=2247510746&idx=1&sn=c12a07bb6dfb69d1180d029bbd7c55be&chksm=cf08c82b15af721718861dd1b1b70328d91965a6495bd575554718b3d4069715d7f60b945560
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inference-time compute 做搜索还是交给用户去介入给更多的指导和context?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[29]/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": "如果这个问题解决得不好,呈现出的效果可能是,AI 自己工作了 12 个小时之后发现束手无策,交给用户也很难在AI 的基础上进行修正。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 1157, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "如果这个问题解决得不好,呈现出的效果可能是,AI 自己工作了 12 个小时之后发现束手无策,交给用户也很难在AI 的基础上进行修正。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[29]/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "由于以上问题,我们推测现在实际能有 PMF 的场景会是 code migration,code refactoring 和 PR commit 等任务。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 1159, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": 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coding agent 现阶段做得更多是从 1 到 100 的事情,还没有到从 0到 1 的任务上。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[29]/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 95, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "我们看好 coding agent 在未来 2 年内会逐渐承担更多的责任,不过那需要底层模型的能力和上层 agent 框架的共同进步。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 1162, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "我们看好 coding agent 在未来 2 年内会逐渐承担更多的责任,不过那需要底层模型的能力和上层 agent 框架的共同进步。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[29]/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 95, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": "定价问题也很值得思考:", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 1164, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "定价问题也很值得思考:", "x": 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LLM 的训练是以文本生成为主要目标函数,代码能力看起来是其智能的副产品。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 1172, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "Coding 领域对模型能力的要求是不完全一致的,比如 code tokenizer 对代码中的变量、符号、函数名都要做专门的切分,以及主流 LLM 的训练是以文本生成为主要目标函数,代码能力看起来是其智能的副产品。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[29]/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 98, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": "因此 Coding model 领域开始出现一些独立公司:", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 1173, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "因此 Coding model 领域开始出现一些独立公司:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[29]/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 98, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": "• Magic 强调特别长的 context window,能把企业中复杂的 codebase 完整读进来解决问题,尽量避免 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"global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "Replit、Websim、Wordware", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 1190, "size": 0, "start": 0, "tags": ["strong"], "tail": 0, "txt": "Replit、Websim、Wordware", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[29]/p[34]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 103, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "Task engine 对应的是 search engine,用户得到的不再是基于搜索关键词的网页,而是基于用户需求生成的软件。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 1192, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "Task engine 对应的是 search engine,用户得到的不再是基于搜索关键词的网页,而是基于用户需求生成的软件。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[29]/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 104, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "我们定义为 task engine 是希望弱化软件和 code 这些词带来的高门槛意味,coding 能力带来的 killer app 应该是大众用户都有意愿和能力去使用的。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 1193, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "我们定义为 task engine 是希望弱化软件和 code 这些词带来的高门槛意味,coding 能力带来的 killer app 应该是大众用户都有意愿和能力去使用的。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[29]/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 104, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "Anthropic Artifact 和 OpenAI Canvas 在一定层面上也是希望能实现这个目标,但其产品形态并不是很易用,加上用户对主产品的预期还是 chatbot。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 1195, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "Anthropic Artifact 和 OpenAI Canvas 在一定层面上也是希望能实现这个目标,但其产品形态并不是很易用,加上用户对主产品的预期还是 chatbot。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[29]/p[38]"}]}, "tags": [], "label": "content", 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# AI Coding 最全图谱:Agent 将如何颠覆软件 ## 01. Investment Thesis ### 1)Coding 能力是 LLM + RL 范式下能力进化最快的方向,会是从 copilot 渐进到 agent 的第一个领域。 ### 2)Task engine 会把市场从 5000 万开发者拓展到 5 亿知识工作者,从 professional citizen developers。 ### 3)Copilot for pro & Agent for citizen 是现在模型能力与产品需求相匹配的领域。 #### • 左下象限,Copilot for pro dev: #### • 右上象限,Agent for citizen dev: #### • 左上象限,Agent for pro dev: #### • 右下上限,copilot for citizen dev: ## 02. State of AI coding landscape ### Copilot for pro #### • Coding 代表公司:Anysphere(Cursor), Codeium, Augment ##### Product ##### Market ##### Research #### • Testing 代表公司:QA Wolf, Momentic, Gru AI #### • Code Review & Refactor 代表公司:CodeRabbit ### Agent for pro #### • Coding agent 代表公司:Cognition (Devin), Factory #### • Coding Model 代表公司:Poolside、Magic ### Autopilot for citizen #### • Task engine 代表产品:Replit、Websim、Wordware #### • 前端生成代表公司:Vercel (V0)、Stackblitz (Bolt.new) ## 03. Open Discussion ### 1)Coding 能力的民主化?不,是软件工程的民主化。 ### 2)UI/UX:同步与异步,GUI 时刻的到来。
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"BOS"}, {"txt": "——END——", "language": "chinese", "position": {"atoms": [{"position_id": 6645, "txt": "——END——", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[9]/span/span"}]}, "tags": [], "label": "O", "web_segment_id": 493, "global_sentence_id": 552, "edu_l1_label": "EDU_O"}, {"txt": "CISAW网络情报分析实战技能培训", "language": "chinese", "position": {"atoms": [{"position_id": 6647, "txt": "CISAW网络情报分析实战技能培训", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[139]/span[1]/a"}]}, "tags": [], "label": "O", "web_segment_id": 494, "global_sentence_id": 553, "edu_l1_label": "EDU_O"}, {"txt": " 开源情报俱乐部 ", "language": "chinese", "position": {"atoms": [{"position_id": 6649, "txt": "\n 开源情报俱乐部 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 512, "global_sentence_id": 554, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 特朗普“2025计划”中近300个项目计划的进度状态 ## “2025计划”项目计划进度详情 ### 美国国际开发署(USAID) ### 美国国务院 #### 其中完成的项目有: #### 未启动的计划: ### 美国白宫 #### 其中完成的目标计划有: #### 正在进行中的目标计划: #### 未启动的目标计划: ### 美国司法部(DOJ) #### 其中完成的目标计划有: #### 正在进行中的目标计划: #### 未启动的项目: ### 美国国防部(DOD) #### 其中完成的目标计划有: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国情报界(IC) #### 其中完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国国际媒体署(USAGM) #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划 ### 美国环境保护署(EPA) #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 教育部 #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国能源部(DOE) #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国内政部(DOI) #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国商务部 #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国国土安全部(DHS) #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国财政部(DOT) #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国卫生与公众服务部(HHS) #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国交通部 #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国劳动部 #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 证券交易委员会(SEC) #### 完成的目标计划: #### 未启动的目标计划: ### 美国疾病预防与控制中心(CDC) #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国退伍军人事务部(VA) #### 进行中的目标计划: #### 未启动的目标计划: ### 美国农业部 #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 美国住房和城市发展部(HUD) #### 进行中的目标计划: #### 未启动的目标计划: ### 人事部 #### 完成的目标计划: #### 进行中的目标计划: #### 未启动的目标计划: ### 目前只有1个项目在进行的部门 ### 医疗保险和医疗补助服务中心(CMS) ### 联邦通信委员会(FCC) ### 联邦选举委员会(FEC) ### 美联储 ### 联邦贸易委员会(FTC) ### 小企业管理局(SBA) ### 食品和药物管理局(FDA) ### 国立卫生研究院(NIH)
8c793360-c0e4-4c5f-83aa-505d91b6dd8c
web
test/raw_web_htmls/8c793360-c0e4-4c5f-83aa-505d91b6dd8c.html
https://mp.weixin.qq.com/s/i3x0igZ_eteG6_HeBg_ybg
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"/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 6, "edu_l1_label": "IOS"}, {"txt": "哪儿落后呢?", "language": "chinese", "position": {"atoms": [{"position_id": 224, "txt": "哪儿", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/span[3]"}, {"position_id": 226, "txt": "落后呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/span[4]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 7, "edu_l1_label": "IOS"}, {"txt": "有五大误区。", "language": "chinese", "position": {"atoms": [{"position_id": 228, "txt": "有五大误区。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/span[5]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "再一瞧作者,是某资深记者,长江商学院校友。", "language": "chinese", "position": {"atoms": [{"position_id": 230, "txt": "再一瞧作者,是某资深记者,长江商学院校友。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/span[6]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "有人说,不对!", "language": "chinese", "position": {"atoms": [{"position_id": 232, "txt": "有人说,不对!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "我听某高科技中专生说,中国的AI,那是全方位领先,领先多少年呢?", "language": "chinese", "position": {"atoms": [{"position_id": 233, "txt": "我听某高科技中专生说,中国的AI,那是全方位领先,领先多少年呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "一、二、三......扒了袜子都数不出来了。", "language": "chinese", "position": {"atoms": [{"position_id": 234, "txt": "一、二、三......扒了袜子都数不出来了。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "此外,还有个跟番茄成精似的大佬,在金融业务和家庭纠纷之余,热衷于定量计算人类何时进入AGI时代,以及开源和不开源的情形下,要多长时间能跟上。", "language": "chinese", "position": {"atoms": [{"position_id": 236, "txt": "此外,还有个跟番茄成精似的大佬,在金融业务和家庭纠纷之余,热衷于定量计算人类何时进入AGI时代,以及开源和不开源的情形下,要多长时间能跟上。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "那么,他们到底谁说的对?", "language": "chinese", "position": {"atoms": [{"position_id": 238, "txt": "那么,他们到底谁说的对?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "外行忙着凑热闹", "language": "chinese", "position": {"atoms": [{"position_id": 240, "txt": "外行忙着凑热闹", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[6]/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 44, "global_sentence_id": 15, "edu_l1_label": "BOS"}, {"txt": "先说答案,选D:", "language": "chinese", "position": {"atoms": [{"position_id": 242, "txt": "先说答案,选D:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "以上说法都不对。", "language": "chinese", "position": {"atoms": [{"position_id": 243, "txt": "以上说法都不对。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "或者说句文言:", "language": "chinese", "position": {"atoms": [{"position_id": 244, "txt": "或者说句文言:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "都是扯淡!", "language": "chinese", "position": {"atoms": [{"position_id": 245, "txt": "都是扯淡!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "为什么这么说,您看看发言这些位馊干零碎儿,跟AI有个毛关系?", "language": "chinese", "position": {"atoms": [{"position_id": 247, "txt": "为什么这么说,您看看发言这些位馊干零碎儿,跟AI有个毛关系?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "不就是仗着有点粉丝,靠着幽门螺杆菌的助力,顺着口气,喊就得了呗!", "language": "chinese", "position": {"atoms": [{"position_id": 248, "txt": "不就是仗着有点粉丝,靠着幽门螺杆菌的助力,顺着口气,喊就得了呗!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "这就是中国AI舆论圈儿的现状。", "language": "chinese", "position": {"atoms": [{"position_id": 250, "txt": "这就是中国AI舆论圈儿的现状。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[9]/span"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "对此,以前微软研究院的M老师有个准确的评价,大致意思是:", "language": "chinese", "position": {"atoms": [{"position_id": 252, "txt": "对此,以前微软研究院的M老师有个准确的评价,大致意思是:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[10]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "甭管是大喊遥遥领先的还是大幅落后的,都是一群连高中解析几何都理解不了的无关人士。", "language": "chinese", "position": {"atoms": [{"position_id": 254, "txt": "甭管是大喊遥遥领先的还是大幅落后的,都是一群连高中解析几何都理解不了的无关人士。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[10]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 48, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "他们说的结论,无非就相当于你在世界杯球场上猜谁夺冠,可猜中了又有啥价值呢?", "language": "chinese", "position": {"atoms": [{"position_id": 256, "txt": "他们说的结论,无非就相当于你在世界杯球场上猜谁夺冠,可猜中了又有啥价值呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[10]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "人家那冠军领你的情吗?", "language": "chinese", "position": {"atoms": [{"position_id": 258, "txt": "人家那冠军领你的情吗?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[10]/span[4]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "没错,这些都是外行啊!", "language": "chinese", "position": {"atoms": [{"position_id": 260, "txt": "没错,这些都是外行啊!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "就像郭德纲说的,相声演员讨论火箭发射用什么煤一样,人家火箭专家瞧一眼都算输!", "language": "chinese", "position": {"atoms": [{"position_id": 261, "txt": "就像郭德纲说的,相声演员讨论火箭发射用什么煤一样,人家火箭专家瞧一眼都算输!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "这就好比我们老家有几位老人,晚上酒足饭饱,蹲在村头来上一袋旱烟,开始畅聊黑洞啥时候把地球吸进去的问题。", "language": "chinese", "position": {"atoms": [{"position_id": 263, "txt": "这就好比我们老家有几位老人,晚上酒足饭", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/span[1]"}, {"position_id": 265, "txt": "饱,蹲在村头来上一袋旱烟,开始畅聊黑洞啥时候把地球吸进去的问题。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "你说,哪位老先生说的对呢?", "language": "chinese", "position": {"atoms": [{"position_id": 267, "txt": "你说,哪位老先生说的对呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[12]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/49cT7h3aQSa62MAjt436DPLC.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 92, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/49cT7h3aQSa62MAjt436DPLC.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[13]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 51, "global_sentence_id": 31, "edu_l1_label": "EDU_O"}, {"txt": "当然,只要嘴硬一直猜,就算是章鱼,也能出一条神机妙算的保罗。", "language": "chinese", "position": {"atoms": [{"position_id": 269, "txt": "当然,只要嘴硬一直猜,就算是章鱼,也能出一条神机妙算的保罗。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[14]/span"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "咱们拿股市做个比方,大盘,那无非就是涨跌两个可能,十天就是1024种可能;", "language": "chinese", "position": {"atoms": [{"position_id": 271, "txt": "咱们拿股市做个比方,大盘,那无非就是涨跌两个可能,十天就是1024种可能;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[15]/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "股评人可是一抬脚踩死一片,但凡有几千个自媒体号,那很可能有一个十天都蒙对的,这不就是股神了么!", "language": "chinese", "position": {"atoms": [{"position_id": 272, "txt": "股评人可是一抬脚踩死一片,但凡有几千个自媒体号,那很可能有一个十天都蒙对的,这不就是股神了么!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[15]/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "AI也是一样,你就闭着眼睛蒙,说AGI哪年能实现,中国多少年都追不上,蒙对了就成了行业引路人,蒙错了呢?", "language": "chinese", "position": {"atoms": [{"position_id": 274, "txt": "AI也是一样,你就闭着眼睛蒙,说AGI哪年能实现,中国多少年都追不上,蒙对了就成了", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[16]/span"}, {"position_id": 276, "txt": "行业引路人,蒙错了呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[16]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "蒙错了你把我怎么样?", "language": "chinese", "position": {"atoms": [{"position_id": 277, "txt": "蒙错了你把我怎么样?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[16]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "反正我这粉丝都涨上去了,谁还管那个去!", "language": "chinese", "position": {"atoms": [{"position_id": 278, "txt": "反正我这粉丝都涨上去了,谁还管那个去!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[16]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "那位说了,你别瞎喷,这些人我看怎么也算是科技圈的吧,瞧瞧人家那粉丝数量,人家那财富规模,岂是你这样的二手科学家可以置喙?", "language": "chinese", "position": {"atoms": [{"position_id": 280, "txt": "那位说了,你别瞎喷,这些人我看怎么也算是科技圈的吧,瞧瞧人家那粉丝数量,人家那财富规模,岂是你这样的二手科学家可以置喙?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[17]/span"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "其实,现代科学精细的分工程度,让“科技圈”这样的说法,几乎已经没什么意义。", "language": "chinese", "position": {"atoms": [{"position_id": 282, "txt": "其实,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/span"}, {"position_id": 284, "txt": "现代科学精细的分工程度,让“科技圈”这样的说法,几乎已经没什么意义。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 56, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "哪怕是同在计算机这个大行业,AI算法的顶级专家,对半导体制程的了解,那也跟央视的记者或者德云社的演员差不多,都是些道听途说的记问之学罢了。", "language": "chinese", "position": {"atoms": [{"position_id": 286, "txt": "哪怕是同在计算机这个大行业,AI算法的顶级专家,对半导体制程的了解,那也跟央视的记者或者德云社的演员差不多,都是些道听途说的记问之学罢了。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 56, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "这种现象,还有一句俗语来描述:", "language": "chinese", "position": {"atoms": [{"position_id": 287, "txt": "这种现象,还有一句俗语来描述:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 56, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "科学家的肚儿,是杂货铺!", "language": "chinese", "position": {"atoms": [{"position_id": 288, "txt": "科学家的肚儿,是杂货铺!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[18]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 56, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "可是,这帮外行真有流量啊!", "language": "chinese", "position": {"atoms": [{"position_id": 290, "txt": "可是,这帮外行真有流量啊!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[19]/span"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "所以,他们说中国的AI落后几泡尿的工夫,或者领先到根本就不应该搭理那帮老外,可真有吃瓜群众信啊!", "language": "chinese", "position": {"atoms": [{"position_id": 291, "txt": "所以,他们说中国的AI落后几泡尿的工夫,或者领先到根本就不应该搭理那帮老外,可真有吃瓜群众信啊!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[19]/span"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "而且观点越极端,信的人也越多,进而甚至会掀起强大的群众舆论,或捧杀,或棒杀,似乎AI圈子的一线工作者不按这些大V指点的江山来,那就是历史的罪人,人民的公敌!", "language": "chinese", "position": {"atoms": [{"position_id": 292, "txt": "而且观点越极端,信的人也越多,进而甚至会掀起强大的群众舆论,或捧杀,或棒杀,似乎AI圈子的一线工作者不按这些大V指点的江山来,那就是历史的罪人,人民的公敌!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[19]/span"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "所以,这些外行大V,才是中国AI的真正绊脚石!", "language": "chinese", "position": {"atoms": [{"position_id": 294, "txt": "所以,这些外行大V,才是中国AI的真正绊脚石!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "内行都在看问题", "language": "chinese", "position": {"atoms": [{"position_id": 296, "txt": "内行都在看问题", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[21]/strong/span/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 59, "global_sentence_id": 47, "edu_l1_label": "BOS"}, {"txt": "说完了外行,再聊聊内行。", "language": "chinese", "position": {"atoms": [{"position_id": 298, "txt": "说完了外行,再聊聊内行。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[22]/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "你说这些大V都是外行,那内行都干嘛呢?", "language": "chinese", "position": {"atoms": [{"position_id": 300, "txt": "你说这些大V都是外行,那", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[23]/span[1]"}, {"position_id": 302, "txt": "内行都干嘛呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[23]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "其实,中国有很多优秀的AI工程师和科学家,我也认得一些。", "language": "chinese", "position": {"atoms": [{"position_id": 303, "txt": "其实,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[23]/span[2]"}, {"position_id": 305, "txt": "中国有很多优秀的AI工程师和科学家,我也认得一些。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[23]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "人家但凡有点儿正事干,也就没工夫搭理这些博流量的外行。", "language": "chinese", "position": {"atoms": [{"position_id": 307, "txt": "人家但凡有点儿正事干,也就没工夫搭理这些博流量的外行。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[23]/span[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "他们日常考虑的,都是非常具体的技术问题,模型怎么演进,算力怎么优化,数据怎么清洗。", "language": "chinese", "position": {"atoms": [{"position_id": 309, "txt": "他们日常考虑的,都是非常具体的技术问题,模型怎么演进,算力怎么优化,数据怎么清洗。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[24]/span"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "毕竟要追赶先进水平,需要的是解决一个又一个的技术难题,而不是叼着十渠沉思教育科研体制怎么改进。", "language": "chinese", "position": {"atoms": [{"position_id": 310, "txt": "毕竟要追赶先进水平,需要的是解决一个又一个的技术难题,而不是叼着十渠沉思教育科研体制怎么改进。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[24]/span"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "那么,能不能让内行来说说,中国的AI领先或者落后多少年?", "language": "chinese", "position": {"atoms": [{"position_id": 312, "txt": "那么,能不能让内行来说说,中国的AI", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[25]/span[1]"}, {"position_id": 314, "txt": "领先或者落后多少年?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[25]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "对不起,这本身就是个神学问题,对人家既不重要,也没法预测。", "language": "chinese", "position": {"atoms": [{"position_id": 315, "txt": "对不起,这本身就是个神学问题,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[25]/span[2]"}, {"position_id": 317, "txt": "对人家既不重要,也没法预测。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[25]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "因为,科研的事儿,最重要的规律就是不确定性。", "language": "chinese", "position": {"atoms": [{"position_id": 319, "txt": "因为,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[26]/span"}, {"position_id": 321, "txt": "科研的事儿,最重要的规律就是不确定性。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[26]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 64, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "咱们拿谷歌来说吧,在AI圈独领风骚那么多年,几乎所有的底层技术都是人家先搞的,怎么就一夜之间让OpenAI抄了后路,瞬间落后了呢?", "language": "chinese", "position": {"atoms": [{"position_id": 323, "txt": "咱们拿谷歌来说吧,在AI圈独领风骚那么多年,几乎所有的底层技术都是人家先搞的,怎么就一夜之间让OpenAI抄了后路,瞬间落后了呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[26]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 64, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "谷歌是不是应该反思呢?", "language": "chinese", "position": {"atoms": [{"position_id": 324, "txt": "谷歌是不是应该反思呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[26]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 64, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "是文化的泯灭,还是体制的沦丧呢?", "language": "chinese", "position": {"atoms": [{"position_id": 326, "txt": "是文化的泯灭,还是体制的沦丧呢?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[26]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "反思个六!", "language": "chinese", "position": {"atoms": [{"position_id": 328, "txt": "反思个六!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[27]/span"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "这是搞科研,不是排队买煎饼!", "language": "chinese", "position": {"atoms": [{"position_id": 329, "txt": "这是搞科研,不是排队买煎饼!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[27]/span"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "要是谁来的早就一定先吃上,那用不着科学家,我们小区保安就能干!", "language": "chinese", "position": {"atoms": [{"position_id": 330, "txt": "要是谁来的早就一定先吃上,那用不着科学家,我们小区保安就能干!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[27]/span"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "有反思那个功夫,不如好好关注关注技术层面,搞清楚对手到底有了啥新突破,自己的技术路线哪里走不通,这才是科研工作者应有的态度。", "language": "chinese", "position": {"atoms": [{"position_id": 331, "txt": "有反思那个功夫,不如好好关注关注技术层面,搞清楚对手到底有了啥新突破,自己的技术路线哪里走不通,这才是科研工作者应有的态度。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[27]/span"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3CbUis1LjgEr1ML7du3Jdokh.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 136, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3CbUis1LjgEr1ML7du3Jdokh.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[28]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 66, "global_sentence_id": 64, "edu_l1_label": "EDU_O"}, {"txt": "顺便说一句,其实,谷歌被OpenAI超车这事来说,关键的原因并不是大公司不思进取,而是藏在60年代的一篇论文里。", "language": "chinese", "position": {"atoms": [{"position_id": 333, "txt": "顺便说一句,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[29]/span[1]"}, {"position_id": 335, "txt": "其实,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[29]/span[1]/span"}, {"position_id": 337, "txt": "谷歌被OpenAI超车这事来说,关键的原因并不是大公司不思进取,而是藏在60年代的一篇论文里。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[29]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 67, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "对此,我们准备做一次专题讨论,请出一位神秘大咖,专门聊聊这个话题!", "language": "chinese", "position": {"atoms": [{"position_id": 339, "txt": "对此,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[29]/span[2]"}, {"position_id": 341, "txt": "我们准备做一次专题讨论,请出一位神秘大咖,专门聊聊这个话题!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[29]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "大家可以去视频号或小宇宙关注@北冥乘海生。", "language": "chinese", "position": {"atoms": [{"position_id": 342, "txt": "大家可以去视频号或小宇宙关注@北冥乘海生。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[29]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "其实,AI圈的现状,也并不是中美之间互为假想敌PK,而是OpenAI和Anthropic算第一梯队,其他公司都落后一个身位。", "language": "chinese", "position": {"atoms": [{"position_id": 344, "txt": "其实,A", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[30]/span[1]"}, {"position_id": 346, "txt": "I圈的现状,也并不是中美之间互为假想敌PK,而是OpenAI和Anthropic", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[30]/span[2]"}, {"position_id": 348, "txt": "算第一梯队,其他公司都落后一个身位。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[30]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "不过,这也没必要气馁:", "language": "chinese", "position": {"atoms": [{"position_id": 350, "txt": "不过,这也没必要气馁:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[31]/span"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "十年看起来无所作为的OpenAI能一飞冲天,谁敢说没人能后来居上?", "language": "chinese", "position": {"atoms": [{"position_id": 351, "txt": "十年看起来无所作为的OpenAI能一飞冲天,谁敢说没人能后来居上?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[31]/span"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "可是,后来居上的必要条件,是聚焦技术,解决问题,不是哲学层面的空想和反思。", "language": "chinese", "position": {"atoms": [{"position_id": 352, "txt": "可是,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[31]/span"}, {"position_id": 354, "txt": "后来居上的必要条件,是聚焦技术,解决问题,不是哲学层面的空想和反思。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[31]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 69, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "就像刘国梁还是哪位说的,想拿世界冠军,任何时候想得都得是下一个球怎么打,而不是离领奖台还有多远!", "language": "chinese", "position": {"atoms": [{"position_id": 356, "txt": "就像刘国梁还是哪位说的,想拿世界冠军,任何时候想得都得是下一个球怎么打,而不是离领奖台还有多远!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[31]/span/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 69, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "当然,AI火了,圈子也是鱼龙混杂,并不是所有的从业者,都是严谨踏实的科研工作者,有些人就是等着人家开了源套个皮,然后从身体中后偏下部位发出一声低沉的嘶吼:", "language": "chinese", "position": {"atoms": [{"position_id": 358, "txt": "当然,AI火了,圈子也是鱼龙混杂,并不是所有的从业者,都是严谨踏实的科研工作者,有些人就是等着人家开了源套个皮,然后从身体中后偏下部位发出一声低沉的嘶吼:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[32]/span"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "我遥遥领先了!", "language": "chinese", "position": {"atoms": [{"position_id": 359, "txt": "我遥遥领先了!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[32]/span"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "这些伪科学家,与指点江山的网红专家们,可谓一时瑜亮,趁着AI的东风,把自己包装成一代松狮。", "language": "chinese", "position": {"atoms": [{"position_id": 361, "txt": "这些伪科学家,与指点江山的网红专家们,可谓一时瑜亮,趁着AI的东风,把自己包装成一代松狮。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[33]/span"}]}, "tags": [], "label": "content", "web_segment_id": 71, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "@-@", "language": "chinese", "position": {"atoms": [{"position_id": 363, "txt": "@-@", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[34]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 72, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "在今天的中国,AI几乎成了好声音一样的娱乐话题。", "language": "chinese", "position": {"atoms": [{"position_id": 365, "txt": "在今天的中国,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[35]/span[1]"}, {"position_id": 367, "txt": "AI几乎成了好声音一样的娱乐话题。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[35]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "然而,热情归热情,我们得知道,这实在不是一个没人都能指点上积聚的话题,靠三万个臭皮匠天天开会,也不会商量出什么有意义的办法。", "language": "chinese", "position": {"atoms": [{"position_id": 368, "txt": "然而,热情归热情,我们得知道,这实在不是一个没人都能指点上积聚的话题,靠三万个臭皮匠天天开会,也不会商量出什么有意义的办法。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[35]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "正经人不愿意说,所以那些伪装成专家的网红大V们就占领了舆论高地,歇斯底里的咬住一个结论不松嘴。", "language": "chinese", "position": {"atoms": [{"position_id": 370, "txt": "正经人不愿意说,所以那些伪装成专家的网红大V们就占领了舆论高地,歇斯底里的咬住一个结论不松嘴。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[36]/span"}]}, "tags": [], "label": "content", "web_segment_id": 74, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "而真正令人担心也是,正常的科研工作,以及政策导向,反而会被他们带偏了节奏。", "language": "chinese", "position": {"atoms": [{"position_id": 371, "txt": "而", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[36]/span"}, {"position_id": 373, "txt": "真正令人担心也是,正常", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[36]/span/span[1]"}, {"position_id": 375, "txt": "的科研工作,以及政策导向,反而会被他们带偏了", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[36]/span/span[2]"}, {"position_id": 377, "txt": "节奏。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[36]/span/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 74, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "那再看到这路天天喊中国AI遥遥领先,或者彻底落后的大V应该怎么办?", "language": "chinese", "position": {"atoms": [{"position_id": 379, "txt": "那再看到这路天天喊中国AI遥遥领先,或者彻底落后的大V应该怎么办?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "我教你个办法,找张草纸把他们都捏出去!", "language": "chinese", "position": {"atoms": [{"position_id": 380, "txt": "我教你个办法,找张草纸把他们都捏出去!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": " 计算广告 ", "language": "chinese", "position": {"atoms": [{"position_id": 382, "txt": "\n 计算广告 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 93, "global_sentence_id": 83, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 谁是中国AI的绊脚石? ## 外行忙着凑热闹 ## 内行都在看问题 ## @-@
184c2d8a-7023-4bc2-bd0c-ca6b7ac48edc
web
test/raw_web_htmls/184c2d8a-7023-4bc2-bd0c-ca6b7ac48edc.html
https://www.huxiu.com/article/4150020.html?f=rss
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"随着困难浮出水面,他们后知后觉,自己的理想“水土不服”了。", "language": "chinese", "position": {"atoms": [{"position_id": 548, "txt": "随着困难浮出水面,他们后知后觉,自己的理想“水土不服”了。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[33]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 18, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "如何度过不麻木的一生?", "language": "chinese", "position": {"atoms": [{"position_id": 550, "txt": "如何度过不麻木的一生?", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[35]/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 19, "global_sentence_id": 53, "edu_l1_label": "BOS"}, {"txt": "“我没有去过职校,也没有上过职校。", "language": "chinese", "position": {"atoms": [{"position_id": 552, "txt": "“我没有去过职校,也没有上过职校。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "这些学生是我从来没有接触过的一个群体。”", "language": "chinese", "position": {"atoms": [{"position_id": 554, "txt": "这些学生是我从来没有接触过的一个群体。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]/strong"}, {"position_id": 556, "txt": "”", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 20, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "学生情况的特殊性,是小生“水土不服”的原因之一。", "language": "chinese", "position": {"atoms": [{"position_id": 557, "txt": "学生情况的特殊性,是小生“水土不服”的原因之一。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[37]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 20, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "大多数人对职校的印象停留在技校与大专。", "language": "chinese", "position": {"atoms": [{"position_id": 559, "txt": "大多数人对职校的印象停留在技校与大专。", "x": 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"企业、教育机构、社会组织等开办的学校,即为民办职校。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "无论是民办还是公办,大部分学生都需要通过考试升学来获取入学资格。", "language": "chinese", "position": {"atoms": [{"position_id": 570, "txt": "无论是民办还是公办,大部分学生都需要通过考试升学来获取入学资格。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[41]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "在中职与高职两个层级下,中职以中考成绩为主要录取依据,辅以少量单招名额;", "language": "chinese", "position": {"atoms": [{"position_id": 572, "txt": "在中职与高职两个层级下,中职以中考成绩为主要录取依据,辅以少量单招名额;", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "高职则通过普通高考、高职单招或中职对口招生(仅限中职毕业生)三种渠道选拔。", "language": 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"根据教育部2017年修订出台的《普通高等学校辅导员队伍建设规定》,高等学校应按总体上师生比不低于1:", "language": "chinese", "position": {"atoms": [{"position_id": 711, "txt": "根据教育部2017年修订出台的《普通高等学校辅导员队伍建设规定》,高等学校应按总体上师生比不低于1:", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[97]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "200的比例设置专职辅导员岗位。", "language": "chinese", "position": {"atoms": [{"position_id": 712, "txt": "200的比例设置专职辅导员岗位。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[97]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "但小罗和小生任教的学校并没能达到这个标准。", "language": "chinese", "position": {"atoms": [{"position_id": 713, "txt": "但小罗和小生任教的学校并没能达到这个标准。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[97]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 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172, "edu_l1_label": "IOS"}, {"txt": "“我是满载希望而去,垂头而归,(知识)袋子空荡荡地回来了。”", "language": "chinese", "position": {"atoms": [{"position_id": 754, "txt": "“我是满载希望而去,垂头而归,", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[113]"}, {"position_id": 756, "txt": "(知识)", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[113]/span"}, {"position_id": 758, "txt": "袋子空荡荡地回来了。”", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[113]/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": "于是老师们开始探索自主学习的方法。", "language": "chinese", "position": {"atoms": [{"position_id": 760, "txt": "于是老师们开始探索自主学习的方法。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[115]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": 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766, "txt": "她转而求助于一些与职业教育挂钩的书,比如黄灯的《我的二本学生》。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[115]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 61, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": "可由于情况差异,黄灯的经验在她这里行不通。", "language": "chinese", "position": {"atoms": [{"position_id": 767, "txt": "可由于情况差异,黄灯的经验在她这里行不通。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[115]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 61, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": "在不断试错中,老师们意识到:", "language": "chinese", "position": {"atoms": [{"position_id": 769, "txt": "在不断试错中,老师们意识到:", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[117]"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "不同的课堂无法以同一种方式呈现,学校的内部运行也不能完全模仿他人——成功案例不是参考答案,教育本身就是一场没有教科书的探索过程。", 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"edu_l1_label": "IOS"}, {"txt": "小罗所在的学校是市属学校,通过沟通协调,智慧矿业班级的学生毕业后可以直接与当地产业对接。", "language": "chinese", "position": {"atoms": [{"position_id": 775, "txt": "小罗所在的学校是市属学校,通过沟通协调,智慧矿业班级的学生毕业后可以直接与当地产业对接。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[121]"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": "“像矿井班的(学生)直接毕业也只是下矿做很苦很累的一线工人。”", "language": "chinese", "position": {"atoms": [{"position_id": 776, "txt": "“像矿井班的", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[121]"}, {"position_id": 778, "txt": "(学生)", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[121]/span"}, {"position_id": 780, "txt": "直接毕业也只是下矿做很苦很累的一线工人。”", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[121]/span"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": "小雪说。", "language": "chinese", "position": {"atoms": [{"position_id": 781, "txt": "小雪说。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[121]/span"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "类似的校企对接项目提供了一个工作平台,但并不能保证工作环境良好。", "language": "chinese", "position": {"atoms": [{"position_id": 782, "txt": "类似的校企对接项目提供了一个工作平台,但并不能保证工作环境良好。", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[121]/span"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "“家里孩子考了职校,是会被当成议论对象的。”", "language": "chinese", "position": {"atoms": [{"position_id": 784, "txt": "“家里孩子考了职校,是会被当成议论对象的。”", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[123]"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 187, "edu_l1_label": "IOS"}, 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"EDU_O"}, {"txt": "瞿王烨、姚汶含", "language": "chinese", "position": {"atoms": [{"position_id": 872, "txt": "瞿王烨、姚汶含", "x": "/html/body/div[3]/div/div/div/div/div[1]/section/div/div/div[1]/div[4]/div/p[154]/span[2]"}]}, "tags": [], "label": "author", "web_segment_id": 82, "global_sentence_id": 241, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 没有教科书的职业教育探索 ## 水土不服 ## 如何度过不麻木的一生? ## 披着大学外衣的高中 ## 刺痛成茧的歧视
43e83477-1605-4635-b6d4-0b4da40d7dee
web
test/raw_web_htmls/43e83477-1605-4635-b6d4-0b4da40d7dee.html
https://phys.org/news/2025-02-underground-switzerland.html
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aquifers.", "language": "english", "position": {"atoms": [{"position_id": 727, "txt": "Gunatilake has recently published ", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[15]"}, {"position_id": 729, "txt": "another study", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[15]/a[1]"}, {"position_id": 731, "txt": ", in ", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[15]/a[1]"}, {"position_id": 733, "txt": "Carbon Capture Science & Technology", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[15]/i"}, {"position_id": 735, "txt": ", this time focusing on storing CO", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[15]/i"}, {"position_id": 737, "txt": "2", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[15]/sub"}, {"position_id": 739, "txt": " in saline aquifers.", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[15]/sub"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": " For this project, researchers used numerical simulations to analyze data from the area around Triemli in Zurich.", "language": "english", "position": {"atoms": [{"position_id": 740, "txt": " For this project, researchers used ", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[15]/sub"}, {"position_id": 742, "txt": "numerical simulations", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[15]/a[2]"}, {"position_id": 744, "txt": " to analyze data from the area around Triemli in Zurich.", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[15]/a[2]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "They succeeded in injecting CO2 into the 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underground. \"", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[17]/sub[1]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "One example is the DemoUpCARMA project, where CO2 from Switzerland was transported to Iceland where it is now stored underground in the form of carbonate rock,\" says Martin.", "language": "english", "position": {"atoms": [{"position_id": 762, "txt": "One example is the DemoUpCARMA project, where CO", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[17]/sub[1]"}, {"position_id": 764, "txt": "2", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[17]/sub[2]"}, {"position_id": 766, "txt": " from Switzerland was transported to Iceland where it is now stored underground in the form of carbonate rock,\" says Martin.", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[17]/sub[2]"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "It is important to raise public awareness of the issue and to dispel myths and rumors. \"", "language": "english", "position": {"atoms": [{"position_id": 768, "txt": "It is important to raise public awareness of the issue and to dispel myths and rumors. \"", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "Many people think we're creating a bubble underground and that it could even explode at some point,\" explains Martin. \"", "language": "english", "position": {"atoms": [{"position_id": 769, "txt": "Many people think we're creating a bubble underground and that it could even explode at some point,\" explains Martin. \"", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "But the risk to the public from underground CO2 storage is minimal and the methods are scientifically well proven.\"", "language": "english", "position": {"atoms": [{"position_id": 770, "txt": "But the risk to the public from underground CO", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[18]"}, {"position_id": 772, "txt": "2", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[18]/sub"}, {"position_id": 774, "txt": " storage is minimal and the methods are scientifically well proven.\"", "x": "/html/body/div[1]/div[1]/div[3]/main/section/div/div[4]/article/div[2]/p[18]/sub"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "More information:", "language": "english", "position": {"atoms": [{"position_id": 776, "txt": "More information:", "x": 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# Storing CO₂ underground in Switzerland ## How rock can be used to store CO2 ## Potential recognized, but feasibility questionable ## Alternative methods of CO2 storage
f44f6065-5450-41bb-9f5b-9cd9dabbb44e
web
test/raw_web_htmls/f44f6065-5450-41bb-9f5b-9cd9dabbb44e.html
https://mp.weixin.qq.com/s/UFA_0HfQFkJA17eJgCaQRQ
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# 世界咖啡冲泡方式演变史>中国名人是大功臣! ## 从时间和地点来观察–郑和下西洋 ## 中国茶的逆袭 ### 首先是,泡茶方式的逆袭。 ### 再来是,杯具的逆袭。 ## 总结
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DeepSeek 有好口碑的原因在于是第一个把复现 MoE、o1 等发出来,胜在做的早,但能不能做到最好,空间还很大。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 611, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "2. 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DeekSeek 从 preview 到正式发布这段时间,长上下文能力提升很快。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 617, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "3. DeekSeek 从 preview 到正式发布这段时间,长上下文能力提升很快。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[16]/span"}]}, "tags": [], "label": "content", "web_segment_id": 27, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "DeepSeek 的 Long context 10K 用非常常规的方法就能够做到。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 618, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "DeepSeek 的 Long context 10K 用非常常规的方法就能够做到。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[16]/span"}]}, "tags": [], "label": "content", "web_segment_id": 27, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "4. 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DeepSeek 带来的最大的震撼不是开源或者低成本,而是不需要做 SFT了。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 698, "size": 0, "start": 0, "tags": ["strong"], "tail": 0, "txt": "18. 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DeepSeek-R1 一定程度上说明用 SFT 做蒸馏有很大好处。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 710, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "19. DeepSeek-R1 一定程度上说明用 SFT 做蒸馏有很大好处。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[40]/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "DeepSeek-R1 并不是完全不做 SFT,而是在第三步骤只做了 SFT,最后一步 alignment(对齐)再用了 RLHF(基于人类反馈的强化学习)。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 711, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "DeepSeek-R1 并不是完全不做 SFT,而是在第三步骤只做了 SFT,最后一步 alignment(对齐)再用了 RLHF(基于人类反馈的强化学习)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[40]/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "20. 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R1 - Zero 没有用 SFT 就出现了 CoT 的过程,CoT 会越来越长,这个涌现过程很有意义,SFT 更像是一个辅助手段,模型没有 SFT 也能产生,有了 SFT 能很快生成。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 719, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "22. R1 - Zero 没有用 SFT 就出现了 CoT 的过程,CoT 会越来越长,这个涌现过程很有意义,SFT 更像是一个辅助手段,模型没有 SFT 也能产生,有了 SFT 能很快生成。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[43]/span"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "23. 这件事说明现在很多小模型厂商可以用 SFT 去蒸馏大模型,并且效果会很好,但也没有在 R1 的过程中完全被抛弃。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 721, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "23. 这件事说明现在很多小模型厂商可以用 SFT 去蒸馏大模型,并且效果会很好,但也没有在 R1 的过程中完全被抛弃。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[44]/span"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "24. 一个 LLM 集合无限长的 CoT 理论上可以看成一台图灵机,理论上通过无限长的 CoT 可以解决极复杂的计算问题(computational problem),但 CoT 本质上只是中间搜索结果,用一种优化的方式去不停 sample potential output,可能会输出正确结果,然后让模型往更可信的方向去推。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 723, "size": 0, "start": 0, "tags": ["strong"], "tail": 0, "txt": "24. 一个 LLM 集合无限长的 CoT 理论上可以看成一台图灵机,理论上通过无限长的 CoT 可以解决极复杂的计算问题(computational problem),但 CoT 本质上只是中间搜索结果,用一种优化的方式去不停 sample potential output,可能会输出正确结果,然后让模型往更可信的方向去推。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[45]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 58, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "本质上是模型为了得到这样的结果,必须要做一些 computation,CoT 是 computation 中间必须经过的中间输出,最终结果可以说是涌现,也可以说是它作为计算机的本质。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 725, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "本质上是模型为了得到这样的结果,必须要做一些 computation,CoT 是 computation 中间必须经过的中间输出,最终结果可以说是涌现,也可以说是它作为计算机的本质。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[45]/span"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "25. DeepSeek 的论文里面虽然没有提到长上下文,但体感上 R1-preview 和 R1 之间模型的 context window 提升了很多,猜测是做了一些 Long2Short CoT 的提升,包括在第三阶段的 SFT 用的 CoT 最终在 generation 的时候也被去掉,最后发布的版本可能是用了更加 clean 的 CoT 数据做 SFT。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 727, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "25. DeepSeek 的论文里面虽然没有提到长上下文,但体感上 R1-preview 和 R1 之间模型的 context window 提升了很多,猜测是做了一些 Long2Short CoT 的提升,包括在第三阶段的 SFT 用的 CoT 最终在 generation 的时候也被去掉,最后发布的版本可能是用了更加 clean 的 CoT 数据做 SFT。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[46]/span"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "26. SFT 的数据种类有几种:", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 729, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "26. SFT 的数据种类有几种:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[47]/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "一个是冷启动的数据,更像是给模型一个很好的策略,给一个比较好的初始化,这样能做的探索更好,RL 中有一个优化目标是和原策略更接近;", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 730, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "一个是冷启动的数据,更像是给模型一个很好的策略,给一个比较好的初始化,这样能做的探索更好,RL 中有一个优化目标是和原策略更接近;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[47]/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "另一种数据是做了 RL 之后,生成很多 data,再加上别的数据,再在 base model SFT,本质上每个 domain 有自己的 data processing pipeline 之类的,这个数据的能力是从 base model 来的,蒸馏是无损的,把多个 domain 放到一起可能会有泛化。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 731, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "另一种数据是做了 RL 之后,生成很多 data,再加上别的数据,再在 base model SFT,本质上每个 domain 有自己的 data processing pipeline 之类的,这个数据的能力是从 base model 来的,蒸馏是无损的,把多个 domain 放到一起可能会有泛化。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[47]/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "27. 不确定 R1 这个过程的数据效率怎么样。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 733, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "27. 不确定 R1 这个过程的数据效率怎么样。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[48]/span"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "猜测 OpenAI 针对数据效率也做了类似的事情,比如 fine tuning。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 734, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "猜测 OpenAI 针对数据效率也做了类似的事情,比如 fine tuning。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[48]/span"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "R1 第三阶段没有用 RL 做出来的模型作为 base 去训练,而是去生成了数据,再去 SFT 得到 R1,数据包含 600K 的 reasoning data 和 200K non-reasoning data。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 735, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "R1 第三阶段没有用 RL 做出来的模型作为 base 去训练,而是去生成了数据,再去 SFT 得到 R1,数据包含 600K 的 reasoning data 和 200K non-reasoning data。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[48]/span"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "第二阶段的模型可能在 example 的 domain 之外但仍然需要某种 reasoning 的场景下,可能也能展示解题能力,从而得到 reasoning data。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 736, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "第二阶段的模型可能在 example 的 domain 之外但仍然需要某种 reasoning 的场景下,可能也能展示解题能力,从而得到 reasoning data。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[48]/span"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "而 non reasoning data 是 V3 SFT data 的一部分,是让 V3 脑补出了一个 CoT。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 737, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "而 non reasoning data 是 V3 SFT data 的一部分,是让 V3 脑补出了一个 CoT。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[48]/span"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "800K 的数据还是挺小的,挺有效率的。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 738, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "800K 的数据还是挺小的,挺有效率的。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[48]/span"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1r1XWm13Dr8T2N3QINW95IQ.png", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 218, "size": 0, "start": 0, "tags": ["img"], "tail": 0, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1r1XWm13Dr8T2N3QINW95IQ.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 62, "global_sentence_id": 98, "edu_l1_label": "EDU_O"}, {"txt": "技术细节2:", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 740, "size": 0, "start": 0, "tags": ["h1"], "tail": 0, "txt": "技术细节2:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/h1[7]/span"}]}, "tags": ["h1"], "label": "title2", "web_segment_id": 63, "global_sentence_id": 99, "edu_l1_label": "BOS"}, {"txt": "数据", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 741, "size": 0, "start": 0, "tags": ["h1"], "tail": 0, "txt": "数据", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/h1[7]/span"}]}, "tags": ["h1"], "label": "title2", "web_segment_id": 63, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "“DeepSeek在数据标注上非常重视”", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 743, "size": 0, "start": 0, "tags": ["h1"], "tail": 0, "txt": "“DeepSeek在数据标注上非常重视”", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/h1[8]/span"}]}, "tags": ["h1"], "label": "title1", "web_segment_id": 64, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "28. Scale.AI 不一定会失败,现在需要在各种 domain 上做 RL,比较常用的是 math 和 coding,还是需要 expert 来标注,但数据标注可能会更复杂,但市场会存在。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 745, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "28. Scale.AI 不一定会失败,现在需要在各种 domain 上做 RL,比较常用的是 math 和 coding,还是需要 expert 来标注,但数据标注可能会更复杂,但市场会存在。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[49]/span"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "29. 在 training 上,多模态数据几乎看不出效果,或者说成本太高了,今天还没有任何证据说有用,未来机会可能比较大。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 747, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "29. 在 training 上,多模态数据几乎看不出效果,或者说成本太高了,今天还没有任何证据说有用,未来机会可能比较大。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[50]/span"}]}, "tags": [], "label": "content", "web_segment_id": 66, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "30. DeepSeek 在数据标注上非常重视,听说梁文锋自己也会打标签,在 AI 上除了算法和技巧,数据的精确度也很关键,特斯拉的标注成本几乎是中国自动驾驶的 20 倍,中国自动驾驶的数据经历了大而全、精细化到最终发现要找开车经验和能力特别丰富的人,这个是特斯拉一开始就在做的事。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 749, "size": 0, "start": 0, "tags": ["strong"], "tail": 0, "txt": "30. DeepSeek 在数据标注上非常重视,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[51]/strong/span"}, {"immutable": false, "orig_start": 0, "position_id": 751, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "听说梁文锋自己也会打标签,在 AI 上除了算法和技巧,数据的精确度也很关键,特斯拉的标注成本几乎是中国自动驾驶的 20 倍,中国自动驾驶的数据经历了大而全、精细化到最终发现要找开车经验和能力特别丰富的人,这个是特斯拉一开始就在做的事。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[51]/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 67, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "特斯拉的机器人的动作是找的小脑非常健康的人做的标注,丝滑程度很好,而中国找的人的丝滑程度很差。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 752, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "特斯拉的机器人的动作是找的小脑非常健康的人做的标注,丝滑程度很好,而中国找的人的丝滑程度很差。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[51]/span"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "所以 DeepSeek 在数据标注上的投入是模型效率好的关键之一。", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 753, "size": 0, "start": 0, "tags": [], "tail": 0, "txt": "所以 DeepSeek 在数据标注上的投入是模型效率好的关键之一。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[51]/span"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3jvQwG2uJC4g18PN57CmVom.png", "language": "chinese", "position": {"atoms": [{"immutable": false, "orig_start": 0, "position_id": 236, "size": 0, "start": 0, "tags": ["img"], "tail": 0, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3jvQwG2uJC4g18PN57CmVom.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[7]/span/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 68, "global_sentence_id": 107, "edu_l1_label": "EDU_O"}, {"txt": "技术细节3:", "language": 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# 一场关于DeepSeek的高质量闭门会:比技术更重要的是愿景 ## 神秘的DeepSeek“DeepSeek最重要的事是push智能” ## 探索者VS追赶者“AI类似阶跃函数,追赶者算力需求少10倍” ## 技术细节1:SFT“在推理层面不需要做SFT了” ## 技术细节2:数据“DeepSeek在数据标注上非常重视” ## 技术细节3:蒸馏“蒸馏坏处是模型diversity下降” ## 技术细节4:Process Reward“过程监督上限是人,结果监督才是模型上限” ## 其他公司为何没用DeepSeek方法?“大厂的模型得低调” ## 2025技术的分化与押注 “除Transformer能不能找别的架构” ## 开发者是否从闭源模型迁移至 DeepSeek?“目前还没有” ## OpenAI Stargate 500B叙事与算力需求变化 ## 对二级市场的影响“短期情绪有压力,长期叙事继续” ## 开源 VS 闭源“如果能力差不多,对闭源是挑战” ## DeepSeek出圈的影响“比技术更重要的是愿景”
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"edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/18qfa73RHQ0B30o39N1IMyPu.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 221, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/18qfa73RHQ0B30o39N1IMyPu.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[53]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 72, "global_sentence_id": 47, "edu_l1_label": "EDU_O"}, {"txt": "破局者游戏", "language": "chinese", "position": {"atoms": [{"position_id": 448, "txt": "破局者游戏", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/h1[6]/span/strong/span"}]}, "tags": ["h1", "strong"], "label": "title1", "web_segment_id": 73, "global_sentence_id": 48, "edu_l1_label": "BOS"}, {"txt": "在质疑声中重建信任", "language": "chinese", "position": {"atoms": [{"position_id": 450, "txt": "在质疑声中重建信任", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/h1[7]/span[1]/strong/span"}]}, "tags": 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"position": {"atoms": [{"position_id": 468, "txt": "云鲸发起“痛点悬赏令”,用户提交的真实问题可兑换清洁配件;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[65]/span"}]}, "tags": [], "label": "content", "web_segment_id": 80, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "某新兴品牌甚至将小红书差评印刷成册,在发布会上逐条回应改进方案。", "language": "chinese", "position": {"atoms": [{"position_id": 469, "txt": "某新兴品牌甚至将小红书差评印刷成册,在发布会上逐条回应改进方案。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[65]/span"}]}, "tags": [], "label": "content", "web_segment_id": 80, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "这种低姿态反而赢得了口碑反转,有用户戏称:", "language": "chinese", "position": {"atoms": [{"position_id": 471, "txt": "这种低姿态反而赢得了口碑反转,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[67]/strong/span"}, {"position_id": 473, "txt": "有用户戏称:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[67]/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 81, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "“现在买扫地机器人像参加产品内测,有种养成系快乐。”", "language": "chinese", "position": {"atoms": [{"position_id": 474, "txt": "“现在买扫地机器人像参加产品内测,有种养成系快乐。”", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[67]/span"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "写在最后", "language": "chinese", "position": {"atoms": [{"position_id": 476, "txt": "写在最后", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/h1[8]/span/strong/span"}]}, "tags": ["h1", "strong"], "label": "title1", "web_segment_id": 82, "global_sentence_id": 61, "edu_l1_label": "BOS"}, {"txt": "扫地机器人行业的集体困境,本质是技术理想主义与人间烟火的碰撞。", "language": "chinese", "position": {"atoms": [{"position_id": 478, "txt": "扫地机器人行业的集体困境,本质是技术理想主义与人间烟火的碰撞。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[70]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 83, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": 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485, "txt": "”", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[74]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 85, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "这场始于“解放双手”愿景的科技革命,最终教会我们的,或许是如何在机器与生活的交响曲中找到平衡的节拍。", "language": "chinese", "position": {"atoms": [{"position_id": 487, "txt": "这场始于“解放双手”愿景的科技革命,最终教会我们的,或许是如何在机器与生活的交响曲中找到平衡的节拍。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[76]/span"}]}, "tags": [], "label": "content", "web_segment_id": 86, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "‍", "language": "chinese", "position": {"atoms": [{"position_id": 489, "txt": "‍", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[78]/span[2]"}]}, "tags": [], "label": "O", "web_segment_id": 87, "global_sentence_id": 67, "edu_l1_label": "EDU_O"}, {"txt": "<img https://mmbiz.qpic.cn/mmbiz_png/FAbmafzYZRV42Y0O5ZXGbLOMNdGjVdBdCHZjiaWt0xodNjibKaC2rwd5RNcwSbicECgfxMj4tnv55D8RFTic04G6GA/640?wx_fmt=png", "language": 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# 扫地机器人,为何在小红书上卷起来了? ## 营销修罗场小红书上的技术祛魅与重构 ## 技术迭代迷局当参数竞赛撞上真实生活 ## 破局者游戏在质疑声中重建信任 ## 写在最后
48f372a1-2485-4194-b0a2-637e6d4de91e
web
test/raw_web_htmls/48f372a1-2485-4194-b0a2-637e6d4de91e.html
https://mp.weixin.qq.com/s/SlJHbO929ykgwkdnTGYinw
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["li"], "label": "content", "web_segment_id": 50, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "贝果面包 则大多又干又没味,让开车的人不得不一边用膝盖转方向盘,一边往面包上涂抹奶酪和果酱。", "language": "chinese", "position": {"atoms": [{"position_id": 317, "txt": "贝果面包 则大多又干又没味,让开车的人不得不一边用膝盖转方向盘,一边往面包上涂抹奶酪和果酱。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/ul[1]/li[3]/p/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 51, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "早餐就吃甜点实在太罪恶了;", "language": "chinese", "position": {"atoms": [{"position_id": 319, "txt": "早餐就吃甜点实在太罪恶了;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/ul[1]/li[4]/p/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 52, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "相比之下,奶昔算是其中的最优选项:", "language": "chinese", "position": {"atoms": [{"position_id": 321, "txt": "相比之下,奶昔算是其中的最优选项:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[19]/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "用纤细的吸管喝完一杯浓稠的奶昔需要花很长时间,而且奶昔还能帮助抵挡上午10点左右袭来的饥饿。", "language": "chinese", "position": {"atoms": [{"position_id": 322, "txt": "用纤细的吸管喝完一杯浓稠的奶昔需要花很长时间,而且奶昔还能帮助抵挡上午10点左右袭来的饥饿。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[19]/span"}]}, "tags": [], "label": "content", "web_segment_id": 53, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "所以基于以上洞察,为了帮助用户完成这个任务,奶昔产品的迭代方向应该是:", "language": "chinese", "position": {"atoms": [{"position_id": 324, "txt": "所以基于以上洞察,为了帮助用户完成这个任务,奶昔产品的迭代方向应该是:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[21]/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "应该更浓稠、分量更足,可以让开车上班的人在路上慢慢享用,还能扛饿;", "language": "chinese", "position": {"atoms": [{"position_id": 326, "txt": "应该更浓稠、分量更足,可以让开车上班的人在路上慢慢享用,还能扛饿;", "x": 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"/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[24]/span[2]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 59, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "没有准确理解用户的动机而做出的产品,会有人买,正如上面的快餐连锁店,当初卖奶昔可能只是因为一个灵光一闪的想法。", "language": "chinese", "position": {"atoms": [{"position_id": 342, "txt": "没有准确理解用户的动机而做出的产品,会有人买,正如上面的快餐连锁店,当初卖奶昔可能只是因为一个灵光一闪的想法。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[26]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "更进一步讲,任何一个概念或产品都可能找到1000个用户,比如在几年前的‘大众创业万众创新’的年代,通过众筹可以快速积累用户。", "language": "chinese", "position": {"atoms": [{"position_id": 344, "txt": "更进一步讲,任何一个概念或产品都可能找到1000个用户,比如在几年前的‘大众创业万众创新’的年代,通过众筹可以快速积累用户。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[26]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "在众筹玩法里面,可能还没有产品,只有一个视频或者PPT,很多新奇特的概念都会找到一部分支持者。", "language": "chinese", "position": {"atoms": [{"position_id": 346, "txt": "在众筹玩法里面,可能还没有产品,只有一个视频或者PPT,很多新奇特的概念都会找到一部分支持者。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[28]/span"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "但是,这里会有一个陷阱,我自己称之为’技术狂热者陷阱’。", "language": "chinese", "position": {"atoms": [{"position_id": 347, "txt": "但是,这里会有一个陷阱,我自己称之为’技术狂热者陷阱’。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[28]/span"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "《跨越鸿沟》这本书把用户分为技术狂热者、远见者、实用主义者等5个类别。", "language": "chinese", "position": {"atoms": [{"position_id": 349, "txt": "《跨越鸿沟》这本书把用户分为技术狂热者、远见者、实用主义者等5个类别。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[30]/span"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "部分众筹成绩不错的新奇特产品团队,看到预售的漂亮数据之后,会认为这个产品已经大卖,后面肯定会有光明的未来,而这样就掉入到这个’技术狂热者陷阱’里面。", "language": "chinese", "position": {"atoms": [{"position_id": 350, "txt": "部分众筹成绩不错的新奇特产品团队,看到预售的漂亮数据之后,会认为这个产品已经大卖,后面肯定会有光明的未来,而这样就掉入到这个’技术狂热者陷阱’里面。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[30]/span"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "原因在于,技术狂热者对于新奇特的产品和技术都会很好奇以至于下单购买,但是如果产品没有帮助远见者以及实用主义者的完成他们的任务(Jobs),则产品的定位出现问题。", "language": "chinese", "position": {"atoms": [{"position_id": 352, "txt": "原因在于,技术狂热者对于新奇特的产品和技术都会很好奇以至于下单购买,但是如果产品没有帮助远见者以及实用主义者的完成他们的任务(Jobs),则产品的定位出现问题。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[32]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "这意味着这类产品很可能无法从技术狂热者走到远见者,更不用说到实用主义者,后续的业务增长肯定乏力。", "language": "chinese", "position": {"atoms": [{"position_id": 354, "txt": "这意味着这类产品很可能无法从技术狂热者走到远见者,更不用说到实用主义者,后续的业务增长肯定乏力。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[32]/span[2]"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1DVlHg4junIQ1dN8Pg4skvsZ.png", "language": "chinese", "position": {"atoms": [{"position_id": 169, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1DVlHg4junIQ1dN8Pg4skvsZ.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[34]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 64, "global_sentence_id": 38, "edu_l1_label": "EDU_O"}, {"txt": "注:", "language": "chinese", "position": {"atoms": [{"position_id": 356, "txt": "注:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 39, "edu_l1_label": "EDU_O"}, {"txt": "技术狂热者就是图中的Innovator(2.5%)。", "language": "chinese", "position": {"atoms": [{"position_id": 358, "txt": "技术狂热者就是图中的Innovator(2.5%)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[35]/span"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 40, "edu_l1_label": "EDU_O"}, {"txt": "我自己也曾是技术狂热者,也干过盲目支持众筹产品的事情。", "language": "chinese", "position": {"atoms": [{"position_id": 360, "txt": "我自己也曾是技术狂热者,也干过盲目支持众筹产品的事情。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[37]/span"}]}, "tags": [], "label": "content", "web_segment_id": 66, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "当时有一个朋友做电动滑板,看完预售视频之后我觉得太酷了,所以就花了钱买了电动滑板,但后面买了之后其实也没有怎么玩过,因为这个滑板对我的生活没有什么帮助。", "language": "chinese", "position": {"atoms": [{"position_id": 361, "txt": "当时有一个朋友做电动滑板,看完预售视频之后我觉得太酷了,所以就花了钱买了电动滑板,但后面买了之后其实也没有怎么玩过,因为这个滑板对我的生活没有什么帮助。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[37]/span"}]}, "tags": [], "label": "content", "web_segment_id": 66, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "这个电动滑板团队看到众筹数据不错,就开始租新办公室,批量生产,后面这个项目是失败的,我估计是陷入到了‘技术狂热者陷阱’里面了,像我这种人在购买者的比例中太多了。", "language": "chinese", "position": {"atoms": [{"position_id": 363, "txt": "这个电动滑板团队看到众筹数据不错,就开始租新办公室,批量生产,后面这个项目是失败的,我估计是陷入到了‘", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[39]/span[1]"}, {"position_id": 365, "txt": "技术狂热者陷阱", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[39]/span[2]"}, {"position_id": 367, "txt": "’里面了,像我这种人在购买者的比例中太多了。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[39]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 67, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "类似的现象很多,Segway的案例其实也是类似的。", "language": "chinese", "position": {"atoms": [{"position_id": 369, "txt": "类似的现象很多,Segway的案例其实也是类似的。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[41]/span"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "技术很酷,但不实用,无法跨越各种鸿沟。", "language": "chinese", "position": {"atoms": [{"position_id": 370, "txt": "技术很酷,但不实用,无法跨越各种鸿沟。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[41]/span"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4EEQYI30RFsW2e64U0aBhyK.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 191, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4EEQYI30RFsW2e64U0aBhyK.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[42]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 69, "global_sentence_id": 46, "edu_l1_label": "EDU_O"}, {"txt": "所以有人购买我们的产品,并不意味着我们的产品会大卖,会有高速的增长。", "language": "chinese", "position": {"atoms": [{"position_id": 372, "txt": "所以有人购买我们的产品,并不意味着我们的产品会大卖,会有高速的增长。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[44]/span"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "尤其是高科技产品,很可能只是满足了技术狂热者的好奇心而已,等这批用户被收割完毕之后,就会后继无人。", "language": "chinese", "position": {"atoms": [{"position_id": 373, "txt": "尤其是高科技产品,", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[44]/span"}, {"position_id": 375, "txt": "很可能只是满足了技术狂热者的好奇心而已,等这批用户被收割完毕之后,就会后继无人。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[44]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 70, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "Jobs to be done(JTBD)", "language": "chinese", "position": {"atoms": [{"position_id": 377, "txt": "Jobs to be done(JTBD)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[46]/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 71, "global_sentence_id": 49, "edu_l1_label": "BOS"}, {"txt": "了解购买我们产品的用户类型很重要,同样的,准确洞察这些用户的购买动机也很重要。", "language": "chinese", "position": {"atoms": [{"position_id": 379, "txt": "了解购买我们产品的用户类型很重要,同样的,准确洞察这些用户的购买动机也很重要。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[47]/span[1]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "如何洞察用户需求和动机?", "language": "chinese", "position": {"atoms": [{"position_id": 381, "txt": "如何洞察用户需求", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[47]/span[2]"}, {"position_id": 383, "txt": "和动机?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[47]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "克里斯坦森在《与运气竞争》这本书提出了Jobs to be done(JTBD)理论。", "language": "chinese", "position": {"atoms": [{"position_id": 384, "txt": "克里斯坦森在《与运气竞争》这本书提出了Jobs to be done(JTBD)理论。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[47]/span[3]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "这里的Jobs(任务)就是类似用户的购买动机,比如上面奶昔的案例中,用户购买奶昔是为了给无聊的通勤时间增加点乐趣,也可以抵挡上午的饥饿。", "language": "chinese", "position": {"atoms": [{"position_id": 386, "txt": "这里的Jobs(任务)就是类似用户的购买动机,比如上面奶昔的案例中,用户购买奶昔是为了给无聊的通勤时间增加点乐趣,也可以抵挡上午的饥饿。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[49]/span"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "如果不理解这一点,持续加功能并不能得到好的增长。", "language": "chinese", "position": {"atoms": [{"position_id": 387, "txt": "如果不理解这一点,持续加功能并不能得到好的增长。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[49]/span"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "‘’Jobs to be done(JTBD)理论的本质是理解用户购买行为背后的真实动机。", "language": "chinese", "position": {"atoms": [{"position_id": 389, "txt": "‘’Jobs to be done(JTBD)理论的本质是理解用户购买行为背后的真实动机。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/blockquote/section[1]/section"}]}, "tags": [], "label": "content", "web_segment_id": 74, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "靠大数据得出的相关性无法看出用户为什么作出这样的选择,很难为创新指明方向。", "language": "chinese", "position": {"atoms": [{"position_id": 390, "txt": "靠大数据得出的相关性无法看出用户为什么作出这样的选择,很难为创新指明方向。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/blockquote/section[1]/section"}]}, "tags": [], "label": "content", "web_segment_id": 74, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "只有搞清楚了用户的具体待办任务,并帮助用户更好地完成这个任务,才有可能提升创新的成功率。", "language": "chinese", "position": {"atoms": [{"position_id": 391, "txt": "只有搞清楚了用户的具体待办任务,并帮助用户更好地完成这个任务,才有可能提升创新的成功率。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/blockquote/section[1]/section"}]}, "tags": [], "label": "content", "web_segment_id": 74, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "‘’", "language": "chinese", "position": {"atoms": [{"position_id": 392, "txt": "‘’", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/blockquote/section[1]/section"}]}, "tags": [], "label": "content", "web_segment_id": 74, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "《与运气竞争》", "language": "chinese", "position": {"atoms": [{"position_id": 394, "txt": "《与运气竞争》", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/blockquote/section[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 75, "global_sentence_id": 59, "edu_l1_label": "EDU_O"}, {"txt": "下一篇讲具体聊聊Jobs to be done(JTBD)理论。", "language": "chinese", "position": {"atoms": [{"position_id": 396, "txt": "下一篇讲具体聊聊Jobs to be done(JTBD)理论。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[50]/span"}]}, "tags": [], "label": "content", "web_segment_id": 76, "global_sentence_id": 60, "edu_l1_label": "EDU_O"}, {"txt": "以上。", "language": "chinese", "position": {"atoms": [{"position_id": 398, "txt": "以上。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[52]/span"}]}, "tags": [], "label": "O", "web_segment_id": 77, "global_sentence_id": 61, "edu_l1_label": "EDU_O"}, {"txt": "欢迎关注", "language": "chinese", "position": {"atoms": [{"position_id": 400, "txt": "欢迎关注", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[54]/span/strong"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 78, "global_sentence_id": 62, "edu_l1_label": "EDU_O"}, {"txt": "本文作者周慧明,产品经理一枚。", "language": "chinese", "position": {"atoms": [{"position_id": 402, "txt": "本文作者周慧明,产品经理一枚。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[55]/span"}]}, "tags": [], "label": "author", "web_segment_id": 79, "global_sentence_id": 63, "edu_l1_label": "EDU_O"}, {"txt": "欢迎关注公众号,多多交流。", "language": "chinese", "position": {"atoms": [{"position_id": 403, "txt": "欢迎关注公众号,多多交流。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[55]/span"}]}, "tags": [], "label": "O", "web_segment_id": 79, "global_sentence_id": 64, "edu_l1_label": "EDU_O"}, {"txt": "推荐阅读", "language": "chinese", "position": {"atoms": [{"position_id": 405, "txt": "推荐阅读", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[57]/strong"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 80, "global_sentence_id": 65, "edu_l1_label": "EDU_O"}, {"txt": "清华产品课笔记之高科技产品营销入门", "language": "chinese", "position": {"atoms": [{"position_id": 407, "txt": "清华产品课笔记之高科技产品营销入门", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[58]/a"}]}, "tags": [], "label": "O", "web_segment_id": 81, "global_sentence_id": 66, "edu_l1_label": "EDU_O"}, {"txt": " 小明的产品笔记 ", "language": "chinese", "position": {"atoms": [{"position_id": 409, "txt": "\n 小明的产品笔记 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 99, "global_sentence_id": 67, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 奶昔困境、技术狂热者陷阱和JTBD(1) ## 奶昔窘境 ## 技术狂热者陷阱 ## Jobs to be done(JTBD)
307d4f26-70d9-4604-8d9d-14e4ebc29277
web
test/raw_web_htmls/307d4f26-70d9-4604-8d9d-14e4ebc29277.html
https://mp.weixin.qq.com/s?__biz=MzAxODEzMzc2OA==&mid=2650241441&idx=2&sn=5f80d28e226fe15b153342526b2cb850&scene=0
{"entry_id": "307d4f26-70d9-4604-8d9d-14e4ebc29277", "infos": [{"txt": "海运中的THC:", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "海运中的THC:", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": "不可忽视的码头操作费详解", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "不可忽视的码头操作费详解", "x": ""}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 1, "edu_l1_label": "EDU_O"}, {"txt": " 海运中的THC:", "language": "chinese", "position": {"atoms": [{"position_id": 476, "txt": "\n \n海运中的THC:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 2, "edu_l1_label": "BOT"}, {"txt": "不可忽视的码头操作费详解 ", "language": "chinese", "position": {"atoms": [{"position_id": 477, "txt": "不可忽视的码头操作费详解\n ", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 37, "global_sentence_id": 3, "edu_l1_label": "BOT"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1vbonF5HYbh4nqbZp1j66ri.gif", "language": "chinese", "position": {"atoms": [{"position_id": 55, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1vbonF5HYbh4nqbZp1j66ri.gif", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[1]/section/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 39, "global_sentence_id": 4, "edu_l1_label": "EDU_O"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1IAwA23UnMPa2OSZL61AU3RY.webp", "language": "chinese", "position": {"atoms": [{"position_id": 66, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1IAwA23UnMPa2OSZL61AU3RY.webp", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[4]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 40, "global_sentence_id": 5, "edu_l1_label": "EDU_O"}, {"txt": "在国际海运中,货主和货代常常面对名目繁多的费用清单,其中THC(Terminal Handling Charge,码头操作费)是高频出现却易被忽视的关键成本。", "language": "chinese", "position": {"atoms": [{"position_id": 479, "txt": "在国际海运中,货主和货代常常面对名目繁多的费用清单,其中THC(Terminal Handling Charge,码头操作费)是高频出现却易被忽视的关键成本。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[2]/p[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 6, "edu_l1_label": "BOS"}, {"txt": "一、THC是什么?", "language": "chinese", "position": {"atoms": [{"position_id": 481, "txt": "一、THC是什么?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[3]/section[1]/section/section/p/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 42, "global_sentence_id": 7, "edu_l1_label": "BOS"}, {"txt": "THC(码头操作费)是船公司或码头向货主收取的、用于覆盖货物在港口装卸、搬运、堆存等操作的成本费用。", "language": "chinese", "position": {"atoms": [{"position_id": 483, "txt": "THC(码头操作费)是船公司或码头向货主收取的、用于覆盖货物在港口装卸、搬运、堆存等操作的成本费用。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/p[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "简单来说,它是货物在港口“停留”期间产生的“服务费”。", "language": "chinese", "position": {"atoms": [{"position_id": 484, "txt": "简单来说,它是货物在港口“停留”期间产生的“服务费”。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/p[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "收费主体:", "language": "chinese", "position": {"atoms": [{"position_id": 486, "txt": "收费主体:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/p[4]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 44, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "通常由码头或船公司收取,最终转嫁给货主。", "language": "chinese", "position": {"atoms": [{"position_id": 488, "txt": "通常由码头或船公司收取,最终转嫁给货主。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/p[4]/span"}]}, "tags": [], "label": "content", "web_segment_id": 44, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "适用环节:", "language": "chinese", "position": {"atoms": [{"position_id": 490, "txt": "适用环节:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/p[6]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "分为起运港THC(装货港)和目的港THC(卸货港)。", "language": "chinese", "position": {"atoms": [{"position_id": 492, "txt": "分为起运港THC(装货港)和目的港THC(卸货港)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[4]/p[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "二、THC包含哪些操作?", "language": "chinese", "position": {"atoms": [{"position_id": 494, "txt": "二、THC包含哪些操作?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[5]/section[1]/section/section/p/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 46, "global_sentence_id": 14, "edu_l1_label": "BOS"}, {"txt": "THC并非单一费用,而是港口基础服务的打包成本,主要包括:", "language": "chinese", "position": {"atoms": [{"position_id": 496, "txt": "THC并非单一费用,而是港口基础服务的打包成本,主要包括:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 47, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "装卸作业:", "language": "chinese", "position": {"atoms": [{"position_id": 498, "txt": "装卸作业:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[4]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 48, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "将集装箱从堆场吊装至船舶,或从船舶卸至码头。", "language": "chinese", "position": {"atoms": [{"position_id": 500, "txt": "将集装箱从堆场吊装至船舶,或从船舶卸至码头。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[4]/span"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "场地堆存:", "language": "chinese", "position": {"atoms": [{"position_id": 502, "txt": "场地堆存:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[6]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 49, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "集装箱在码头内的临时存放(通常限免堆期,超期另收滞箱费)。", "language": "chinese", "position": {"atoms": [{"position_id": 504, "txt": "集装箱在码头内的临时存放(通常限免堆期,超期另收滞箱费)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "设备使用:", "language": "chinese", "position": {"atoms": [{"position_id": 506, "txt": "设备使用:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[8]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 50, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "吊机、叉车等港口机械的运营维护成本。", "language": "chinese", "position": {"atoms": [{"position_id": 508, "txt": "吊机、叉车等港口机械的运营维护成本。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "文件处理:", "language": "chinese", "position": {"atoms": [{"position_id": 510, "txt": "文件处理:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[10]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 51, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "与货物进出港相关的单证操作。", "language": "chinese", "position": {"atoms": [{"position_id": 512, "txt": "与货物进出港相关的单证操作。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[10]/span"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "示例:", "language": "chinese", "position": {"atoms": [{"position_id": 514, "txt": "示例:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[12]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 52, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "一个从上海港出口的40英尺集装箱,其THC可能包含(价格不具导向,仅供参考):", "language": "chinese", "position": {"atoms": [{"position_id": 516, "txt": "一个从上海港出口的40英尺集装箱,其THC可能包含(价格不具导向,仅供参考):", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/p[12]/span"}]}, "tags": [], "label": "content", "web_segment_id": 52, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "装卸费:", "language": "chinese", "position": {"atoms": [{"position_id": 518, "txt": "装卸费:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/ul/li[1]/p/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 53, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "¥400", "language": "chinese", "position": {"atoms": [{"position_id": 519, "txt": "¥400", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/ul/li[1]/p/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 53, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "堆存费(7天内免费):", "language": "chinese", "position": {"atoms": [{"position_id": 521, "txt": "堆存费(7天内免费):", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/ul/li[2]/p/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 54, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "超期后¥50/天", "language": "chinese", "position": {"atoms": [{"position_id": 522, "txt": "超期后¥50/天", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/ul/li[2]/p/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 54, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "设备使用费:", "language": "chinese", "position": {"atoms": [{"position_id": 524, "txt": "设备使用费:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/ul/li[3]/p/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 55, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "¥200", "language": "chinese", "position": {"atoms": [{"position_id": 525, "txt": "¥200", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[6]/ul/li[3]/p/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 55, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "三、THC如何计算?", "language": "chinese", "position": {"atoms": [{"position_id": 527, "txt": "三、THC如何计算?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[7]/section[1]/section/section/p/strong"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 56, "global_sentence_id": 32, "edu_l1_label": "BOS"}, {"txt": "THC的计费标准因港口、船公司、集装箱类型而异,核心规则如下:", "language": "chinese", "position": {"atoms": [{"position_id": 529, "txt": "THC的计费标准因港口、船公司、集装箱类型而异,核心规则如下:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[8]/p[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "集装箱类型:", "language": "chinese", "position": {"atoms": [{"position_id": 531, "txt": "集装箱类型:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[8]/p[4]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 58, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "20英尺柜(20GP)费用通常为40英尺柜(40GP/40HQ)的60%-70%。", "language": "chinese", "position": {"atoms": [{"position_id": 533, "txt": "20英尺柜(20GP)费用通常为40英尺柜(40GP/40HQ)的60%-70%。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[8]/p[4]/span"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "港口区位:", "language": "chinese", "position": {"atoms": [{"position_id": 535, "txt": "港口区位:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[8]/p[6]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 59, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "欧美主流港口THC较低(如洛杉矶港$120/20GP),部分偏港费用翻倍。", "language": "chinese", "position": {"atoms": [{"position_id": 537, "txt": "欧美主流港口THC较低(如洛杉矶港$120/20GP),部分偏港费用翻倍。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[8]/p[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "船公司策略:", "language": "chinese", "position": {"atoms": [{"position_id": 539, "txt": "船公司策略:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[8]/p[8]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 60, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "马士基、中远海运等大型船公司THC透明,部分中小船公司可能加收管理费。", "language": "chinese", "position": {"atoms": [{"position_id": 541, "txt": "马士基、中远海运等大型船公司THC透明,部分中小船公司可能加收管理费。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[8]/p[8]/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2Xz79G2308fw2eQDIz1PCObc.webp", "language": "chinese", "position": {"atoms": [{"position_id": 211, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2Xz79G2308fw2eQDIz1PCObc.webp", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[8]/p[10]/img"}]}, "tags": ["img"], "label": "figure", 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"content", "web_segment_id": 65, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "码头操作费,全球港口均可能收取。", "language": "chinese", "position": {"atoms": [{"position_id": 549, "txt": "码头操作费,全球港口均可能收取。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[12]/p[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "ORC:", "language": "chinese", "position": {"atoms": [{"position_id": 551, "txt": "ORC:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[12]/p[4]/strong/span"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 66, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "部分航线(如亚洲-欧洲)在起运港额外收取的“综合操作费”,常与THC重叠,需警惕重复收费。", "language": "chinese", "position": {"atoms": [{"position_id": 553, "txt": "部分航线(如亚洲-欧洲)在起运港额外收取的“综合操作费”,常与THC重叠,需警惕重复收费。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[12]/p[4]/span"}]}, "tags": [], "label": 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# 海运中的THC:不可忽视的码头操作费详解 ## 一、THC是什么? ## 二、THC包含哪些操作? ### 装卸作业:将集装箱从堆场吊装至船舶,或从船舶卸至码头。 ### 场地堆存:集装箱在码头内的临时存放(通常限免堆期,超期另收滞箱费)。 ### 设备使用:吊机、叉车等港口机械的运营维护成本。 ### 文件处理:与货物进出港相关的单证操作。 ### 示例:一个从上海港出口的40英尺集装箱,其THC可能包含(价格不具导向,仅供参考): #### 装卸费:¥400 #### 堆存费(7天内免费):超期后¥50/天 #### 设备使用费:¥200 ## 三、THC如何计算? ### 集装箱类型:20英尺柜(20GP)费用通常为40英尺柜(40GP/40HQ)的60%-70%。 ### 港口区位:欧美主流港口THC较低(如洛杉矶港$120/20GP),部分偏港费用翻倍。 ### 船公司策略:马士基、中远海运等大型船公司THC透明,部分中小船公司可能加收管理费。 ## 四、THC与其他费用的区别 ### THC vs ORC(原产地收货费) #### THC:码头操作费,全球港口均可能收取。 #### ORC:部分航线(如亚洲-欧洲)在起运港额外收取的“综合操作费”,常与THC重叠,需警惕重复收费。 ### THC vs 燃油附加费(BAF) ## 五、THC的争议与注意事项 ### 争议点: #### 费用不透明:部分港口THC调整未提前公告,导致货主被动接受涨价。 #### 重复收费:少数船公司以“港口升级”为名加收附加THC。 ### 应对策略: #### 签约前确认:要求货代提供起运港和目的港THC标准,写入合同。 #### 关注豁免政策:部分港口对长期合作大客户提供THC折扣(如货量超500柜/年可享9折)。 #### 对比历史数据:通过航运平台查询同一港口THC波动趋势,避免异常支出。 ## 六、如何优化THC成本? ### 集装箱利用率最大化: ### 规避滞期风险:提前规划提箱/还箱时间,避免超堆期产生额外堆存费。例如:盐田港免堆期7天,超期后THC日均加收¥100。 ### 选择THC透明渠道:优先合作公开THC明细的船公司(如CMA CGM官网提供全球港口THC查询工具)。 ## 七、THC虽小,但不可忽视
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"x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[9]/section/section[1]/section/p/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "电化学和材料表征表明,SB增强了阴极的电化学性能和阳极的生物相容性,从而提高了脱氮和能源生产。", "language": "chinese", "position": {"atoms": [{"position_id": 522, "txt": "电化学和材料表征表明,SB增强了阴极的电化学性能和阳极的生物相容性,从而提高了脱氮和能源生产。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[9]/section/section[1]/section/p/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "本研究证明,污泥生物炭是一种有效的低成本电极材料,为MFC-CW系统提供了在碳约束条件下氮去除和能源生产的可持续解决方案。", "language": "chinese", "position": {"atoms": [{"position_id": 523, "txt": "本研究证明,污泥生物炭是一种有效的低成本电极材料,为MFC-CW系统提供了在碳约束条件下氮去除和能源生产的可持续解决方案。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[9]/section/section[1]/section/p/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "<img https://mmbiz.qpic.cn/mmbiz_svg/78EkX665csCEMiaESHAaksIqianwmo5KwyiajLAvzul9KoWYicgKfDPFGbDZubAiarj0s0KejaCE2yeL7j8kX28KaUcE5wK8KPPmib/640?wx_fmt=svg&from=appmsg", "language": "chinese", "position": {"atoms": [{"position_id": 163, "txt": "<img https://mmbiz.qpic.cn/mmbiz_svg/78EkX665csCEMiaESHAaksIqianwmo5KwyiajLAvzul9KoWYicgKfDPFGbDZubAiarj0s0KejaCE2yeL7j8kX28KaUcE5wK8KPPmib/640?wx_fmt=svg&from=appmsg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[9]/section/section[2]/section/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 57, "global_sentence_id": 39, "edu_l1_label": "EDU_O"}, {"txt": "03", "language": "chinese", "position": {"atoms": [{"position_id": 525, "txt": "03", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[10]/section/section/section[1]/section/section/section/section/section/p/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 58, "global_sentence_id": 40, "edu_l1_label": "BOS"}, {"txt": "研究背景", "language": "chinese", "position": {"atoms": [{"position_id": 527, "txt": "研究背景", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[10]/section/section/section[2]/section/p/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 59, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "随着全球人口增长和城市化进程的推进,对淡水的需求不断增加。", "language": "chinese", "position": {"atoms": [{"position_id": 529, "txt": "随着全球人口增长和城市化进程的推进,对淡水的需求不断增加。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[11]/section/section[1]/section/p/span[1]/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "利用污水处理厂(WWTPs)的再生水是解决水资源短缺的有效途径。", "language": "chinese", "position": {"atoms": [{"position_id": 530, "txt": "利用污水处理厂(WWTPs)的再生水是解决水资源短缺的有效途径。", "x": 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"edu_l1_label": "IOS"}, {"txt": "<img https://mmbiz.qpic.cn/mmbiz_svg/78EkX665csCEMiaESHAaksIqianwmo5KwyiajLAvzul9KoWYicgKfDPFGbDZubAiarj0s0KejaCE2yeL7j8kX28KaUcE5wK8KPPmib/640?wx_fmt=svg&from=appmsg", "language": "chinese", "position": {"atoms": [{"position_id": 205, "txt": "<img https://mmbiz.qpic.cn/mmbiz_svg/78EkX665csCEMiaESHAaksIqianwmo5KwyiajLAvzul9KoWYicgKfDPFGbDZubAiarj0s0KejaCE2yeL7j8kX28KaUcE5wK8KPPmib/640?wx_fmt=svg&from=appmsg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[11]/section/section[2]/section/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 61, "global_sentence_id": 47, "edu_l1_label": "EDU_O"}, {"txt": "04", "language": "chinese", "position": {"atoms": [{"position_id": 541, "txt": "04", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[13]/section/section/section[1]/section/section/section/section/section/p/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 62, "global_sentence_id": 48, "edu_l1_label": "BOS"}, {"txt": "研究结果", "language": "chinese", "position": {"atoms": [{"position_id": 543, "txt": "研究结果", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[13]/section/section/section[2]/section/p/strong/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 63, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "人工湿地处理性能", "language": "chinese", "position": {"atoms": [{"position_id": 545, "txt": "人工湿地处理性能", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[14]/section/section[1]/section/ul/li[1]/strong/span/span"}]}, "tags": ["li", "strong"], "label": "title2", "web_segment_id": 64, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "MSBS-CW 和 MAC-CW 的 COD 去除率分别为 78.82% 和 82.84%;", "language": "chinese", "position": {"atoms": [{"position_id": 547, "txt": "MSBS-CW 和 MAC-CW 的 COD 去除率分别为 78.82% 和 82.84%;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[14]/section/section[1]/section/ul/li[1]/section/span[1]/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 65, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "NH₄⁺去除率分别为 95.85% 和 92.10%;", "language": "chinese", "position": {"atoms": [{"position_id": 548, "txt": "NH₄⁺去除率分别为 95.85% 和 92.10%;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[14]/section/section[1]/section/ul/li[1]/section/span[1]/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 65, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "NO₃⁻去除率分别为 97.37% 和 89.98%;", "language": "chinese", "position": {"atoms": [{"position_id": 549, "txt": "NO₃⁻去除率分别为 97.37% 和 89.98%;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[14]/section/section[1]/section/ul/li[1]/section/span[1]/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 65, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "TN 去除率分别为 95.85% 和未知(文中未明确给出 MAC-CW 的 TN 去除率)。", "language": "chinese", "position": {"atoms": [{"position_id": 550, "txt": "TN 去除率分别为 95.85% 和未知(文中未明确给出 MAC-CW 的 TN 去除率)。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[14]/section/section[1]/section/ul/li[1]/section/span[1]/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 65, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "MSBS-CW 电压(172.46 ± 6.80 mV)和最大功率密度(9.05 mW/m²)均高于 MAC-CW(26.96 ± 3.25 mV 、0.27 mW/m²)。", "language": "chinese", "position": {"atoms": [{"position_id": 551, "txt": "MSBS-CW 电压(172.46 ± 6.80 mV)和最大功率密度(9.05 mW/m²)均高于 MAC-CW(26.96 ± 3.25 mV 、0.27 mW/m²)", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[14]/section/section[1]/section/ul/li[1]/section/span[1]/span"}, {"position_id": 553, "txt": "。", "x": 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# 基于污泥生物炭的人工湿地-微生物燃料电池系统的能源生产和脱氮性能:克服水中的碳约束 ## 01文章信息 ## 02摘要 ## 03研究背景 ## 04研究结果 ### 人工湿地处理性能 ### 电极材料表征 ### 碳源释放和电子转移活性 ### 微生物群落结构 ### 污泥生物炭作为电极的强化机制 ## 05结论
f4d1cbd9-db5e-477d-9428-e2152da399e8
web
test/raw_web_htmls/f4d1cbd9-db5e-477d-9428-e2152da399e8.html
https://36kr.com/p/3210061076562823
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"edu_l1_label": "IOS"}, {"txt": "基础模型训练停摆,核心负责人申请离职 ╱ 01", "language": "chinese", "position": {"atoms": [{"position_id": 423, "txt": "基础模型训练停摆,核心负责人申请离职 ╱ 01", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/blockquote/p[1]"}]}, "tags": [], "label": "catalog", "web_segment_id": 16, "global_sentence_id": 21, "edu_l1_label": "EDU_O"}, {"txt": "R2来临前的恐惧,“断臂”医疗 To B?", "language": "chinese", "position": {"atoms": [{"position_id": 425, "txt": "R2来临前的恐惧,“断臂”医疗 To B?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/blockquote/p[2]"}]}, "tags": [], "label": "catalog", "web_segment_id": 17, "global_sentence_id": 22, "edu_l1_label": "EDU_O"}, {"txt": "╱ 02", "language": "chinese", "position": {"atoms": [{"position_id": 426, "txt": "╱ 02", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/blockquote/p[2]"}]}, "tags": [], "label": "catalog", "web_segment_id": 17, "global_sentence_id": 23, "edu_l1_label": "EDU_O"}, {"txt": "急刹车,To C 寻生机 ╱ 03", "language": "chinese", "position": {"atoms": [{"position_id": 428, "txt": "急刹车,To C 寻生机 ╱ 03", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/blockquote/p[3]"}]}, "tags": [], "label": "catalog", "web_segment_id": 18, "global_sentence_id": 24, "edu_l1_label": "EDU_O"}, {"txt": "基础模型训练停摆,核心负责人申请离职", "language": "chinese", "position": {"atoms": [{"position_id": 430, "txt": "基础模型训练停摆,核心负责人申请离职", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/h2[1]/strong"}]}, "tags": ["h2", "strong"], "label": "title1", "web_segment_id": 19, "global_sentence_id": 25, "edu_l1_label": "BOS"}, {"txt": "今年初,模型研发技术负责人提离职,也是促成王小川调整优化决定的重要一环。", "language": "chinese", "position": {"atoms": [{"position_id": 432, "txt": "今年初,模型研发技术负责人提离职,也是促成王小川调整优化决定的重要一环。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "《职场Bonus》从资深猎头处获悉,业内对百川的基础模型团队,认可度还是很高的。", "language": "chinese", "position": {"atoms": [{"position_id": 433, "txt": "《职场Bonus》从资深猎头处获悉,业内对百川的基础模型团队,认可度还是很高的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "核心技术负责人要出走,后续需重新招聘新技术负责人,待其适应后再推进研发工作。", "language": "chinese", "position": {"atoms": [{"position_id": 435, "txt": "核心技术负责人要出走,后续需重新招聘新技术负责人,待其适应后再推进研发工作。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "这一系列过程不光需要花费大量金钱和精力,时间也是更重要的成本。", "language": "chinese", "position": {"atoms": [{"position_id": 436, "txt": "这一系列过程不光需要花费大量金钱和精力,时间也是更重要的成本。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "但百川智能等不了这么久。", "language": "chinese", "position": {"atoms": [{"position_id": 438, "txt": "但百川智能等不了这么久。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "业内人士告诉《职场Bonus》,造成现在这个局面,是因为去年年中王小川一意孤行转向医疗,导致基础技术被落下。", "language": "chinese", "position": {"atoms": [{"position_id": 439, "txt": "业内人士告诉《职场Bonus》,", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[15]"}, {"position_id": 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"也是去年年中,百川预训练也近乎停摆,“不怎么做了,新订的卡都退掉了。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[16]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "百川成立之初,是要做“中国的ChatGPT”的,拿麻了融资。", "language": "chinese", "position": {"atoms": [{"position_id": 448, "txt": "百川成立之初,是要做“中国的ChatGPT”的,拿麻了融资。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "彼时,王小川高喊“超级模型+超级应用”双轮驱动的发展战略。", "language": "chinese", "position": {"atoms": [{"position_id": 449, "txt": "彼时,王小川高喊“超级模型+超级应用”双轮驱动的发展战略。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "2023年,百川智能加速追赶,仅半年的时间,百川智能就发布了自己的开源模型baichuan-7B,模型能力也曾“手拿”ChatGLM,“脚踩”LLaMA。", "language": "chinese", "position": {"atoms": [{"position_id": 450, "txt": "2023年,百川智能加速追赶,仅半年的时间,百川智能就发布了自己的开源模型baichuan-7B,模型能力也曾“手拿”ChatGLM,“脚踩”LLaMA。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "而开源7B模型后的26天,百川智能又开源了自己的商用大模型Baichuan-13B。", "language": "chinese", "position": {"atoms": [{"position_id": 451, "txt": "而开源7B模型后的26天,百川智能又开源了自己的商用大模型Baichuan-13B。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "2024年上半年,王小川频繁在公开场合提到,“医疗是大模型‘皇冠上的明珠’”。", "language": "chinese", "position": {"atoms": [{"position_id": 453, "txt": 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{"position_id": 463, "txt": "。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[20]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 27, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "DeepSeek是开源模型,技术平权的另一面是,很多闭源自研模型在To B的价值就被削弱了,这中间也包括百川。", "language": "chinese", "position": {"atoms": [{"position_id": 465, "txt": "DeepSeek是开源模型,技术平权的另一面是,很多闭源自研模型在To B的价值就被削弱了,这中间也包括百川。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "其他大模型公司的员工向《职场Bonus》透露,有B端用户直接提出能否在部署闭源模型时的同时,接入DeepSeek模型。", "language": "chinese", "position": {"atoms": [{"position_id": 466, "txt": "其他大模型公司的员工向《职场Bonus》透露,有B端用户直接提出能否在部署闭源模型时的同时,接入DeepSeek模型。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "令人哭笑不得。", "language": "chinese", "position": {"atoms": [{"position_id": 467, "txt": "令人哭笑不得。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "而与模型研发负责人的技术路径分歧,更让王小川看不清前路。", "language": "chinese", "position": {"atoms": [{"position_id": 469, "txt": "而与模型研发负责人的", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[22]"}, {"position_id": 471, "txt": "技术路径分歧", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[22]/strong[1]"}, {"position_id": 473, "txt": ",更让王小川看不清前路。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[22]/strong[1]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 29, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "知情人士告诉《职场Bonus》,这也是促使技术负责人离职的重要原因。", "language": "chinese", "position": {"atoms": [{"position_id": 474, "txt": "知情人士告诉《职场Bonus》,这也是", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[22]/strong[1]"}, {"position_id": 476, "txt": "促使技术负责人离职的重要原因", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[22]/strong[2]"}, {"position_id": 478, "txt": "。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[22]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 29, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "王小川此前认为基础模型训练并不需要投入太多成本,并且判定自家技术半年之内追不上DeepSeek,因而春节过后基本什么都不做了。", "language": "chinese", "position": {"atoms": [{"position_id": 479, "txt": "王小川此前认为基础模型训练并不需要投入太多成本,并且判定自家技术半年之内追不上DeepSeek,因而春节过后基本什么都不做了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[22]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 29, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "而前者并不认同这种做法。", "language": "chinese", "position": {"atoms": [{"position_id": 480, "txt": "而前者并不认同这种做法。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[22]/strong[2]"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 29, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "R2来临前的恐惧,“断臂”医疗 To B?", "language": "chinese", "position": {"atoms": [{"position_id": 482, "txt": "R2来临前的恐惧,“断臂”医疗 To B?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/h2[2]/strong"}]}, "tags": ["h2", "strong"], "label": "title1", "web_segment_id": 30, "global_sentence_id": 50, "edu_l1_label": "BOS"}, {"txt": "去年的百川,融资消息频传,技术、业务也在跟进,公司整体还是风光无限的。", "language": "chinese", "position": {"atoms": [{"position_id": 484, "txt": "去年的百川,融资消息频传,技术、业务也在跟进,公司整体还是风光无限的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[23]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "知情人士称,去年早些,百川就计划布局金融领域。", "language": "chinese", "position": {"atoms": [{"position_id": 486, "txt": "知情人士称,去年早些,百川就计划布局金融领域。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "入局金融,是因为金融行业市场化更完善,收益高。", "language": "chinese", "position": {"atoms": [{"position_id": 487, "txt": "入局金融,是因为金融行业市场化更完善,收益高。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "并且金融行业的资金还算充裕,有意愿,更有能力探索人工智能。", "language": "chinese", "position": {"atoms": [{"position_id": 488, "txt": "并且金融行业的资金还算充裕,有意愿,更有能力探索人工智能。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "从《百川智能商业服务》公开信息来看,百川对金融的布局还是很深的。", "language": "chinese", "position": {"atoms": [{"position_id": 490, "txt": "从《百川智能商业服务》公开信息来看,百川对金融的布局还是很深的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "百川智能商业服务部门2024年给百川带来了中国银行、北电数智、招商银行、信雅达、天开集团等多个头部企业客户和合作伙伴。", "language": "chinese", "position": {"atoms": [{"position_id": 491, "txt": "百川智能商业服务部门2024年给百川带来了中国银行、北电数智、招商银行、信雅达、天开集团等多个头部企业客户和合作伙伴。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[25]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "而To B业务是百川造血等心脏,在2024年为百川带来了近1亿的收入,百川内部也曾预计2025年To B业务将成倍数增收。", "language": "chinese", "position": {"atoms": [{"position_id": 493, "txt": "而To B业务是百川造血等心脏,在2024年为百川带来了近1亿的收入,百川内部也曾预计2025年To B业务将成倍数增收。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "To B业务的增长令百川信心倍增,百川智能联合创始人茹立云在接受《财新》专访时曾提到,公司2025年订单签约额将在10-20亿元的水平。", "language": "chinese", "position": {"atoms": [{"position_id": 494, "txt": "To B业务的增长令百川信心倍增,百川智能联合创始人茹立云在接受《财新》专访时曾提到,公司2025年订单签约额将在10-20亿元的水平。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "而DeepSeek来了之后,一切都变了。", "language": "chinese", "position": {"atoms": [{"position_id": 496, "txt": "而DeepSeek来了之后,一切都变了", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[27]/strong"}, {"position_id": 498, "txt": "。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[27]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 35, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "不光王小川,大模型六小虎都陷入思考:", "language": "chinese", "position": {"atoms": [{"position_id": 500, "txt": "不光王小川,大模型六小虎都陷入思考:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "比自己更强、更火,还开源的模型来了,我们大模型研发继续进行的意义在哪儿?", "language": "chinese", "position": {"atoms": [{"position_id": 501, "txt": "比自己更强、更火,还开源的模型来了,我们大模型研发继续进行的意义在哪儿?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "如果浪费大量时间精力跟上了,技术又更新了怎么办?", "language": "chinese", "position": {"atoms": [{"position_id": 502, "txt": "如果浪费大量时间精力跟上了,技术又更新了怎么办?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "To B的商业化模式定制成本居高不下,还要继续吗?", "language": "chinese", "position": {"atoms": [{"position_id": 503, "txt": "To B的商业化模式定制成本居高不下,还要继续吗?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[28]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "频传的DeepSeek-R2提前发布的消息,更是加剧了AI六小虎的担忧。", "language": "chinese", "position": {"atoms": [{"position_id": 505, "txt": "频传的DeepSeek-R2提前发布的消息,更是加剧了AI六小虎的担忧。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "2月25日,路透社消息称,DeepSeek正在加速推出其下一代AI模型R2,原计划于5月发布,但公司正在努力尽快推出。", "language": "chinese", "position": {"atoms": [{"position_id": 506, "txt": "2月25日,路透社消息称,DeepSeek正在加速推出其下一代AI模型R2,原计划于5月发布,但公司正在努力尽快推出。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[29]"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "另一接近百川智能的人士告诉《职场Bonus》,现在百川智能做的医疗商业化业务,也并不赚钱。", "language": "chinese", "position": {"atoms": [{"position_id": 508, "txt": "另一接近百川智能的人士告诉《职场Bonus》,现在百川智能做的", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[30]"}, {"position_id": 510, "txt": "医疗商业化业务,也并不赚钱", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[30]/strong"}, {"position_id": 512, "txt": "。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[30]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 38, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "大模型项目的定制化程度高,导致的成本高等问题,也是业内一直不看好大模型To B商业模式的关键。", "language": "chinese", "position": {"atoms": [{"position_id": 513, "txt": "大模型项目的定制化程度高,导致的成本高等问题,也是业内一直不看好大模型To B商业模式的关键。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[30]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 38, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "协和医院接触过大模型研究的专家也告诉《职场Bonus》,医疗专用模型的普适性差。", "language": "chinese", "position": {"atoms": [{"position_id": 515, "txt": "协和医院接触过大模型研究的专家也告诉《职场Bonus》,", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[31]"}, {"position_id": 517, "txt": "医疗专用模型的普适性差", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[31]/strong"}, {"position_id": 519, "txt": "。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[31]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 39, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "由于临床经验之间的差异,医院用自己研究中心数据训练出来的医学专用模型,只适用于自己中心,套到别人家就会有明显的误差。", "language": "chinese", "position": {"atoms": [{"position_id": 520, "txt": "由于临床经验之间的差异,医院用自己研究中心数据训练出来的医学专用模型,只适用于自己中心,套到别人家就会有明显的误差。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[31]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 39, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "不仅如此,单家医院用来训练大模型的数据量很有限,而医院与医院之间,也因为临床水平之间的差异,数据与数据之间很难互通。", "language": "chinese", "position": {"atoms": [{"position_id": 522, "txt": "不仅如此,单家医院用来训练大模型的数据量很有限,而医院与医院之间,也因为临床水平之间的差异,数据与数据之间很难互通。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "并且,出于对病人隐私的保护,医院的数据也是禁止出院的。", "language": "chinese", "position": {"atoms": [{"position_id": 523, "txt": "并且,出于对病人隐私的保护,医院的数据也是禁止出院的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "这也增加了医疗模型的训练难度。", "language": "chinese", "position": {"atoms": [{"position_id": 524, "txt": "这也增加了医疗模型的训练难度。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "医疗To B本也是一块难啃的骨头。", "language": "chinese", "position": {"atoms": [{"position_id": 526, "txt": "医疗To B本也是一块难啃的骨头。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[33]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "商业化来说,在我国的体系里,医疗是不能做盈利机构的行业之一。", "language": "chinese", "position": {"atoms": [{"position_id": 527, "txt": "商业化来说,在我国的体系里,医疗是不能做盈利机构的行业之一。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[33]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "医院虽然以积极开放的态度拥抱AI,但上百万一年的定制化模型开支,对医院来说仍是一笔巨款。", "language": "chinese", "position": {"atoms": [{"position_id": 528, "txt": "医院虽然以积极开放的态度拥抱AI,但上百万一年的定制化模型开支,对医院来说仍是一笔巨款。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[33]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "大厂涌入医疗,更是让百川难上加难。", "language": "chinese", "position": {"atoms": [{"position_id": 530, "txt": "大厂涌入医疗,更是让百川难上加难。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "年初,蚂蚁集团与好大夫在线正式宣布完成收购;", "language": "chinese", "position": {"atoms": [{"position_id": 531, "txt": "年初,蚂蚁集团与好大夫在线正式宣布完成收购;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 42, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "近日,夸克招聘医疗大模型相关负责人;", "language": "chinese", "position": {"atoms": [{"position_id": 532, "txt": "近日,夸克招聘医疗大模型相关负责人;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 42, 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{"position_id": 544, "txt": "。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[36]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "一位投资人表示。", "language": "chinese", "position": {"atoms": [{"position_id": 545, "txt": "一位投资人表示。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[36]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 45, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "因为金融本就是IT天然大户,信息都是数字化的,并且数据量也很大,更适合在B端做出一些成果。", "language": "chinese", "position": {"atoms": [{"position_id": 547, "txt": "因为金融本就是IT天然大户,信息都是数字化的,并且数据量也很大,更适合在B端做出一些成果。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 46, "global_sentence_id": 85, 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"x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 48, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "但许多从业者指出,王小川对To B的认知确实还是比较浅。", "language": "chinese", "position": {"atoms": [{"position_id": 553, "txt": "但许多从业者指出,", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[39]"}, {"position_id": 555, "txt": "王小川对To B的认知确实还是比较浅", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[39]/strong"}, {"position_id": 557, "txt": "。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[39]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 48, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "六小虎公司在To B商业化上还是有机会塑造优势的,因为B端商业化,实际上看的是谁更用客户的需求,模型能力排在下位。", "language": "chinese", "position": {"atoms": [{"position_id": 558, "txt": "六小虎公司在To B商业化上还是有机会塑造优势的,因为B端商业化,实际上看的是谁更用客户的需求,模型能力排在下位。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[39]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 48, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "“而这也并不能全怪王小川,To B和To C的逻辑确实不太一样,不互通是常事。”", "language": "chinese", "position": {"atoms": [{"position_id": 560, "txt": "“而这也并不能全怪王小川,To B和To C的逻辑确实不太一样,不互通是常事。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[40]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "一位行业人员表示。", "language": "chinese", "position": {"atoms": [{"position_id": 561, "txt": "一位行业人员表示。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[40]"}]}, "tags": [], "label": "content", 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"一位接近百川的业内人士估测称,“百川智能账上应该还有30多亿”。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[42]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 51, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "王小川现在这么做,可能是想先精简团队成本,再细水长流,伺机而动。", "language": "chinese", "position": {"atoms": [{"position_id": 573, "txt": "王小川现在这么做,可能是想先精简团队成本,再细水长流,伺机而动。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[42]/strong"}]}, "tags": ["strong"], "label": "content", "web_segment_id": 51, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "3月17日,《智能涌现》也提到,百川正在讨论如何将医疗和“百小应”", "language": "chinese", "position": {"atoms": [{"position_id": 575, "txt": "3月17日,《智能涌现》也提到,百川正在讨论如何将医疗和“百小应”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[3]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 52, 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# Bonus独家 | 百川智能急刹车,调整医疗ToB,基础研发停摆 ## 基础模型训练停摆,核心负责人申请离职 ## R2来临前的恐惧,“断臂”医疗 To B? ## 急刹车,To C寻生机
2a953494-b94b-429f-a02e-fe8d56f497e8
web
test/raw_web_htmls/2a953494-b94b-429f-a02e-fe8d56f497e8.html
http://www.chinanews.com/gn/2025/03-09/10380284.shtml
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All Rights Reserved", "language": "chinese", "position": {"atoms": [{"position_id": 1284, "txt": "Copyright ©1999-2025 chinanews.com. All Rights Reserved", "x": "/html/body/div[10]/div[3]/div[2]"}]}, "tags": [], "label": "O", "web_segment_id": 197, "global_sentence_id": 155, "edu_l1_label": "EDU_O"}, {"txt": "评论", "language": "chinese", "position": {"atoms": [{"position_id": 1286, "txt": "评论", "x": "/html/body/div[14]/div[1]/p"}]}, "tags": [], "label": "O", "web_segment_id": 204, "global_sentence_id": 156, "edu_l1_label": "EDU_O"}, {"txt": "顶部", "language": "chinese", "position": {"atoms": [{"position_id": 1288, "txt": "顶部", "x": "/html/body/div[14]/div[2]/p"}]}, "tags": [], "label": "O", "web_segment_id": 207, "global_sentence_id": 157, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 两会受权发布丨第十四届全国人民代表大会财政经济委员会关于2024年国民经济和社会发展计划执行情况与2025年国民经济和社会发展计划草案的审查结果报告 ##   一、2024年计划执行情况总体较好 ##   二、2025年计划安排总体可行 ##   三、建议批准计划报告和计划草案 ##   四、做好2025年计划执行工作的建议
5dc80e01-84fb-4160-84e6-87f2a2ea01c9
web
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# 【收购】有研硅拟收购高频科技60%股权;光弘科技拟7.33亿元收购AC公司100%股权;晶华新材拟投资3亿元建新材料项目 ## 1.有研硅拟收购高频科技60%股权 加速超纯水系统国产替代; ## 2.光弘科技拟7.33亿元收购AC公司100%股权及TIS公司0.003%股权; ## 3.晶华新材拟投资3亿元建设电子级高端胶粘新材料项目; ## 4.南芯科技变更募投项目 计划投资14.43亿元建设芯片测试产业园; ## 5.【每日收评】集微指数涨0.48%,特斯拉2月销售额下降49%; ### 全球动态 ### 个股消息/A股 ### 个股消息/其他 ### 集微网重磅推出集微半导体产业指数! ## 6.海外芯片股一周动态:安森美半导体拟收购Allegro 传台积电CoWoS订单被砍; ### 上周,英伟达第四财季净利润220.91亿美元;台积电斥资千亿美元扩大对美投资;SkyWater宣布收购英飞凌得州200毫米晶圆厂Fab25;三星推进半导体材料本土化,减少对日依赖;英特尔再度推迟在美芯片厂完工时间;MIPS将战略转向机器人和芯片设计;亚马逊首款量子芯片Ocelot发布;传SK海力士HBM4测试良率达70%;ST与三安光电8吋SiC合资晶圆厂今日通线;美光首家推出采用EUV技术的1γ DDR5 DRAM芯片。 #### 财报与业绩 #### 投资与扩产 ##### 2.安森美半导体拟收购Allegro——据知情人士透露,传感器集成电路供应商Allegro Microsystems正吸引更大竞争对手安森美半导体(On Semi)的收购兴趣。 ##### 3.SkyWater宣布收购英飞凌得州200毫米晶圆厂Fab25——SkyWater已与英飞凌科技达成协议,由SkyWater购买英飞凌位于美国得克萨斯州奥斯汀的200毫米晶圆厂(“Fab25”)并签订相应的长期供应协议。 ##### 4.SK海力士宣布龙仁半导体产业园首座晶圆厂开建——SK海力士2月25日宣布,在龙仁半导体园区内启动其首座半导体生产工厂(晶圆厂)的建设。 ##### 5.创企PsiQuantum计划量产量子芯片Omega——美国量子技术初创公司PsiQuantum表示,已经攻克量子计算领域的关键挑战之一:一种制造量子芯片的方法,可以制造出具有商业可行性的设备。 #### 市场与舆情 ##### 1.三星推进半导体材料本土化,减少对日依赖——三星电子正在推动关键半导体材料的本土化,此举引起广泛关注,因为该公司试图减少对日本进口的严重依赖。 ##### 2.英特尔再度推迟在美芯片厂完工时间——美国芯片制造商英特尔日前宣布推迟在美国俄亥俄州完成两家新制造工厂的时间表。 ##### 4.开源芯片平台eFabless突发关闭,Tiny Tapeout项目受重创——开源芯片平台先驱eFabless已关闭,影响了Tiny Tapeout项目的最新一轮的晶圆流片。 #### 技术与合作 ##### 1.MIPS将战略转向机器人和芯片设计——MIPS周二宣布将转变战略,设计一套用于人工智能机器人的芯片。 ##### 2.亚马逊首款量子芯片Ocelot发布——继谷歌、微软发布量子计算芯片之后,亚马逊也在近日发布了自家的第一代量子计算芯片Ocelot,首次实现了可扩展的玻色子纠错架构,量子纠错成本可降低90%。 ##### 3.传SK海力士HBM4测试良率达70%——据报道,SK海力士已将其第六代高带宽存储器“HBM4”的测试良率提升至70%。 ##### 4.ST与三安光电8吋SiC合资晶圆厂今日通线——2月27日,意法半导体中国宣布,和三安光电在重庆设立的8英寸碳化硅晶圆合资制造厂现已正式通线。 ##### 5.美光首家推出采用EUV技术的1γ DDR5 DRAM芯片——美光科技宣布已开始向部分生态系统合作伙伴和客户出货1γ(1-gamma)16Gbit DDR5 DRAM芯片。
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test/raw_web_htmls/a13c1846-9617-427b-be38-36df69ba62a0.html
https://news.futunn.com/en/post/53123063/hong-kong-stock-market-news-for-february-13-the-central
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# Hong Kong stock market news for February 13: The central bank will issue two phases of a total of 60 billion yuan notes in Hong Kong. The new generation of Horizon's intelligent driving chip has landed at BYD's Tian Shenyang. ## Focused on hot topics. ## Global market. ## Company news
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# 小米15 Ultra、SU7 Ultra、米家中央空调Pro等高端新品重磅发布 ## 小米 15 Ultra:全焦段“夜景封神”,打造6K+「巅峰影像科技旗舰」 ## 小米SU7 Ultra:重新定义豪车标准,打造属于这个时代的「新豪车」 ## 吹响未来五年高端化号角,一个全新的时代开始了
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# 深度学习因子月报DL_EM_Dynamic 因子三月实现超额收益6.6% 2025年04月10日 ## 1 深度学习因子近期表现概览 ## 2各因子介绍和指数增强组合表现 ### 2.1 DL_EM_Dynamic 因子 ### 2.2 Meta_RiskControl 因子 #### 回顾历史我们发现,深度学习因子的回撤大都发生在某些风格因子变化较快的时刻。 #### 鉴于元增量学习具有对于市场变化快速适应的能力,我们可以将这一框架与模型进行结合。 #### 组合构建: ### 2.3 Meta_Master 因子 #### 将市场信息纳入模型中进行训练,相比Transformer 收益预测模型可以获得稳定提升。 #### 进一步利用深度风险模型计算新的市场状态,并替换损失函数和训练框架,获得了进一步提升。 #### 组合构建: ### 2.4深度学习可转债因子 #### 将深度学习应用于可转债投资,相对传统量化可转债投资策略收益得到显著提升。 #### 深度学习可转债因子最近表现尚可。 #### 各类型转债2025年3月超额收益有所差异。 #### 深度学习可转债因子继续偏好高评级转债,最新截面各类型转债top50打分数据如下: ## 3 风险提示 ### 1)量化结论基于历史统计,如未来环境发生变化存在失效可能。 ### 2)选股模型结论不构成投资建议,实际投资还需要考虑外部市场环境、估值等因素并进一步评估。
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2300000, "bbox": [[0.08, 0.476, 0.283, 0.489]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 7, "global_sentence_id": 38, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.072, 0.496, 0.475, 0.679]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 8, "global_sentence_id": 39, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.081, 0.681, 0.156, 0.69]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 9, "global_sentence_id": 40, "edu_l1_label": "EDU_O"}, {"txt": "Wind,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.156, 0.681, 0.367, 0.691]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 9, "global_sentence_id": 41, "edu_l1_label": "EDU_O"}, {"txt": "图2:主要经济体制造业PMI", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.508, 0.476, 0.752, 0.489]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 10, "global_sentence_id": 42, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.5, 0.495, 0.903, 0.681]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 11, "global_sentence_id": 43, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.51, 0.68, 0.585, 0.69]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 12, "global_sentence_id": 44, "edu_l1_label": "EDU_O"}, {"txt": "Wind,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.585, 0.68, 0.797, 0.691]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 12, "global_sentence_id": 45, "edu_l1_label": "EDU_O"}, {"txt": "2月份美国ISM制造业PMI环比回落0.6个百分点至50.3%,其中新订单指数、产出指数和就业指数均明显走弱但物价指数上行至2022年7月份以来最高值;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.32, 0.721, 0.903, 0.731], [0.285, 0.744, 0.883, 0.755]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "服务业PMI环比回升0.7个百分点至53.5%,新订单指数、就业指数和物价指数均环比回升。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.883, 0.744, 0.903, 0.755], [0.286, 0.769, 0.896, 0.78], [0.285, 0.793, 0.364, 0.804]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "与之相比,2月份美国Markit制造业PMI环比回升1.5个百分点至52.7%但服务业PMI环比回落1.9个百分点至51%,ISM与Markit PMI的反向波动或说明特朗普2.0新政对中小制造企业和大型制造服务单位有利。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.364, 0.793, 0.905, 0.803], [0.286, 0.818, 0.901, 0.828], [0.286, 0.841, 0.751, 0.852]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "2025年1月份美国商品贸易赤字季调后达到1533亿美元,较前一月增长313", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.32, 0.883, 0.903, 0.892]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.422, 0.928, 0.924, 0.939]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 15, "global_sentence_id": 50, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.701, 0.026, 0.907, 0.066]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 51, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.076, 0.043, 0.173, 0.06]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 2, "global_sentence_id": 52, "edu_l1_label": "EDU_O"}, {"txt": "亿美元且为历史最高值,显示出关税威胁下的抢进口行为。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.287, 0.07, 0.736, 0.081]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "在1月外贸数据和2月PMI数据发布之后,亚特兰大联储GDPNow模型将美国一季度实际GDP环比年率预估从2.3%下调到-2.4%,其中个人消费和固定投资分别拉动0.3和0.39个百分点,库存投资和政府支出分别拉动0.43和0.31个百分点,净出口拖累3.84个百分点。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.736, 0.07, 0.898, 0.08], [0.285, 0.093, 0.902, 0.104], [0.286, 0.119, 0.902, 0.129], [0.286, 0.143, 0.902, 0.153], [0.286, 0.167, 0.329, 0.178]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "相比较,2024年四季度美国实际GDP环比年率增长2.35%,其中个人消费和政府支出分别拉动2.79和0.49个百分点,固定投资和库存投资分别拖累0.24和0.81个百分点,净出口拉动0.12个百分点。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.329, 0.167, 0.901, 0.178], [0.286, 0.191, 0.904, 0.2], [0.285, 0.214, 0.645, 0.226]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "图3:美国商品贸易盈余", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.079, 0.261, 0.294, 0.274]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 4, "global_sentence_id": 56, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.072, 0.282, 0.474, 0.464]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 5, "global_sentence_id": 57, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.081, 0.466, 0.156, 0.475]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 6, "global_sentence_id": 58, "edu_l1_label": "EDU_O"}, {"txt": "Wind,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.156, 0.466, 0.368, 0.476]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 6, "global_sentence_id": 59, "edu_l1_label": "EDU_O"}, {"txt": "图4:美国一季度GDP预估", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.51, 0.261, 0.735, 0.274]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 7, "global_sentence_id": 60, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.499, 0.28, 0.903, 0.46]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 8, "global_sentence_id": 61, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.51, 0.466, 0.585, 0.475]]}]}, "tags": ["text"], "label": 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"市场主流预期2月份美国新增非农就业16万而失业率维持在4%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.38, 0.724, 0.887, 0.734]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "1.2 政策:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.285, 0.766, 0.374, 0.777]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 11, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "中国加大逆周期调节力度", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.374, 0.766, 0.609, 0.777]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 11, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "2025年政府工作报告提出,将2025年经济增长目标定在5%左右,持平于2024年;", "language": "chinese", "position": {"pdf_position": 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[1650, 1275], "position_id": 4100000, "bbox": [[0.62, 0.07, 0.903, 0.08], [0.285, 0.094, 0.628, 0.105]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "目前金融机构存款准备金率平均为6.6%,还有下行空间,还可研究降低结构性货币政策工具利率;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.628, 0.094, 0.9, 0.104], [0.285, 0.119, 0.769, 0.129]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "进一步扩大科技创新和技术改造再贷款规模,拓宽政策支持的覆盖面。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.769, 0.119, 0.901, 0.128], [0.286, 0.143, 0.699, 0.153]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "政府工作报告中的2025年政府工作任务将提振消费和提高投资效益放在第一位。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.321, 0.183, 0.891, 0.194], [0.287, 0.211, 0.327, 0.218]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "消费提振将通过提高消费能力、增加优质供给和改善消费环境来实现,安排3000亿元超长期特别国债支持消费品以旧换新(2024年为1500亿),中央预算内投资支持力度从7000亿元增长至7350亿元并进一步鼓励民间资本参与。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.327, 0.211, 0.902, 0.219], [0.285, 0.232, 0.903, 0.243], [0.286, 0.256, 0.875, 0.267]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "政府工作报告对发展新质生产力从三方面进行部署:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.875, 0.256, 0.901, 0.267], [0.285, 0.28, 0.663, 0.29]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "一是培育壮大新兴和未来产业,提到了商业航天、低空经济、生物制造、量子科技、具身智能、6G等。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.663, 0.28, 0.902, 0.292], [0.285, 0.304, 0.824, 0.315]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "二是推动传统产业改造提升,提到“加快制造业重大基数改造升级、大规模设备更新和数字化转型。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.824, 0.304, 0.903, 0.315], [0.285, 0.328, 0.902, 0.34], [0.285, 0.353, 0.364, 0.363]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "三是激发数字经济活力,要求持续推进“人工智能十”行动、扩大5G规模化应用、促进平台经济规范健康发展等。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.364, 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"language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.436, 0.49, 0.902, 0.502], [0.285, 0.515, 0.68, 0.526]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "该计划主要包括五项措施,重点是利用欧盟现有的财政工具,帮助成员国迅速且大幅提升国防支出:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.68, 0.515, 0.895, 0.527], [0.285, 0.539, 0.84, 0.55]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "第一,允许成员国在不触发过度赤字程序的情况下大幅增加国防预算;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.84, 0.539, 0.895, 0.551], [0.286, 0.564, 0.77, 0.575]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "第二,向成员国提供1500亿欧元的贷款用于国防投资,向乌克兰提供军事装备;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.77, 0.564, 0.9, 0.575], [0.285, 0.588, 0.776, 0.599]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "第三,现有欧盟预算将更多资金用于国防相关投资;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.776, 0.588, 0.903, 0.599], [0.286, 0.613, 0.558, 0.624]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "第四和第五,通过加速建立储蓄和投资联盟,以及通过欧洲投资银行来调动私人资本。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.558, 0.613, 0.904, 0.624], [0.287, 0.638, 0.594, 0.648]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "3月5日德国候任总理默茨表示,德国将修改宪法,豁免国防和安全支出的财政支出限制,以不惜一切代价保护国家;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.594, 0.638, 0.896, 0.648], [0.285, 0.66, 0.893, 0.672]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "超过1%的国防支出将被豁免在债务刹车之外,允许地方政府增加借贷规模,并启动一个5000亿欧元的基础设施基金,用于投资交通、能源电网和住房等优先领域。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.285, 0.685, 0.901, 0.695], [0.287, 0.71, 0.903, 0.72]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "据《纽约时报》报道,特朗普希望与中国达成一个范围广泛的协议,协议内容包括中国承诺在美国大量投资以及购买更多美国商品,特朗普也希望协议涵盖关于核武器的安全问题。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.321, 0.75, 0.9, 0.761], [0.286, 0.775, 0.902, 0.785], [0.286, 0.799, 0.469, 0.81]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "中美双方的官员和智库正在拟定计划书,要促成中国元首到特朗普的私人别墅海湖庄园会面;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.469, 0.799, 0.902, 0.809], [0.286, 0.823, 0.575, 0.834]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "中方官员与智库也在研究可吸引特朗普的献议,并向中国商界征询看法。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.575, 0.823, 0.901, 0.833], [0.285, 0.847, 0.525, 0.858]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "中方的献议可能包括在美国投资设立太阳能、电动车和电池工厂,创造50万个就业机会;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.525, 0.847, 0.9, 0.857], [0.286, 0.872, 0.6, 0.882]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "中国企业与美国企业设立合资公司,持有少数股权,或授权美企使用中国科技;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.6, 0.872, 0.903, 0.883], [0.285, 0.895, 0.593, 0.907]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "中国大量购买美国商品,在维护朝鲜半", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.593, 0.895, 0.901, 0.906]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "chinese", "position": 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"shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.613, 0.142, 0.904, 0.148], [0.285, 0.167, 0.611, 0.178]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "乌克兰必须得到安全保障,其领土完整必须得到尊重;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.611, 0.167, 0.901, 0.177], [0.286, 0.191, 0.416, 0.201]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "欧盟加强对乌克兰的财政和军事支持。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.416, 0.191, 0.717, 0.202]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "3月4日美国决定对墨西哥、加拿大和中国进口商品加征关税而三国也坚定反制。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.32, 0.233, 0.897, 0.243], [0.285, 0.256, 0.333, 0.267]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "特朗普决定如期对加拿大和墨西哥征收25%关税,并称通过控制芬太尼流入美国来换取关税豁免的方案已不再可行,需要在美国建立汽车工厂等设施以避免关税;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.333, 0.256, 0.898, 0.267], [0.285, 0.281, 0.901, 0.29], [0.285, 0.304, 0.35, 0.315]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "特朗普也以芬太尼问题为由,将对中国商品加征关税税率从10%提高到20%,中国国务院关税税则委员会发布公告,自2025年3月10日起,对原产于美国的鸡肉、小麦、玉米和棉花加征15%关税,对原产于美国的高粱、大豆、猪肉、牛肉、水产品、水果、蔬菜和乳制品加征10%关税;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.35, 0.304, 0.896, 0.315], [0.284, 0.33, 0.903, 0.34], [0.286, 0.353, 0.903, 0.365], [0.286, 0.378, 0.678, 0.388]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "中国商务部将莱多斯公司等15家美国实体列入出口管制管控名单,禁止向15家美国实体出口两用物项;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.678, 0.378, 0.897, 0.389], [0.285, 0.403, 0.871, 0.413]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": "将特科姆公司等10家实体列入不可靠实体清单,禁止上述企业从事与中国有关的进出口活动以及在中国境内新增投资,禁止不可靠实体清单中的美国因美纳公司向中国出口基因测序仪。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.871, 0.403, 0.897, 0.413], [0.285, 0.426, 0.903, 0.437], [0.286, 0.45, 0.901, 0.462], [0.286, 0.474, 0.453, 0.485]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "加拿大宣布对总值1550亿加元(约1070亿美元)的美国进口商品征收25%的反制关税,首批300亿加元商品关税将于3月4日生效,剩余1250亿加元商品关税措施将在21日后生效;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.453, 0.474, 0.9, 0.485], [0.288, 0.5, 0.897, 0.51], [0.285, 0.524, 0.624, 0.534]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "墨西哥将于9日宣布针对美加征关税的反制措施,加拿大总理特鲁多和墨西哥总统谢因鲍姆均表示已经做好与特朗普谈判的准备。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.624, 0.524, 0.897, 0.534], [0.285, 0.548, 0.901, 0.558], [0.287, 0.571, 0.399, 0.583]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "3月5日特朗普决定给予福特、通用汽车和斯特兰蒂斯汽车公司为期一个月的关税豁免,对其通过美墨加协定从墨西哥和加拿大进口的汽车产品免除25%的进口关税。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.399, 0.571, 0.895, 0.583], [0.287, 0.596, 0.901, 0.606], [0.286, 0.62, 0.447, 0.631]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "图5:美欧日中央行政策利率", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.08, 0.665, 0.336, 0.679]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 125, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.072, 0.686, 0.476, 0.869]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 6, "global_sentence_id": 126, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.081, 0.871, 0.156, 0.88]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 7, "global_sentence_id": 127, "edu_l1_label": "EDU_O"}, {"txt": "Wind,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.156, 0.871, 0.368, 0.881]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 7, "global_sentence_id": 128, "edu_l1_label": "EDU_O"}, {"txt": "图6:美联储2025年底政策利率预期", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.51, 0.665, 0.827, 0.678]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 8, "global_sentence_id": 129, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.5, 0.691, 0.901, 0.865]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 9, "global_sentence_id": 130, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.51, 0.871, 0.589, 0.881]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 10, "global_sentence_id": 131, "edu_l1_label": "EDU_O"}, {"txt": "MacroMicro,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.589, 0.871, 0.847, 0.881]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 10, "global_sentence_id": 132, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.422, 0.927, 0.924, 0.938]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 11, "global_sentence_id": 133, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.701, 0.026, 0.906, 0.067]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 134, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.076, 0.043, 0.173, 0.06]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 2, "global_sentence_id": 135, "edu_l1_label": "EDU_O"}, {"txt": "3月6日欧洲央行下调政策利率25BP,实现自2024年6月份以来的第六次降息,美欧政策利差从最小87.5BP扩大到172.5BP。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.32, 0.069, 0.903, 0.08], [0.285, 0.093, 0.67, 0.104]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "欧洲央行表示利率正在变得不那么限制性,反通胀进程进展顺利,潜在价格数据显示将在持续的基础上实现2%目标(此前表示将在今年内实现通胀目标);", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.67, 0.093, 0.903, 0.104], [0.285, 0.118, 0.904, 0.128], [0.288, 0.143, 0.61, 0.153]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "这暗示通胀降温以及财政扩张预期可能使得欧洲央行放缓降息步伐。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.61, 0.143, 0.902, 0.153], [0.286, 0.166, 0.528, 0.178]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "目前市场预期美联储将在6月、7月和10月会议分别降息25BP,概率分别为88.9%、59.2%和56.9%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.528, 0.166, 0.903, 0.177], [0.286, 0.191, 0.685, 0.201]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 139, "edu_l1_label": "IOS"}, {"txt": "二、贵金属市场分析", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.287, 0.239, 0.497, 0.252]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 4, "global_sentence_id": 140, "edu_l1_label": "BOS"}, {"txt": "2.1 美债利率与美元汇率", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.284, 0.277, 0.507, 0.29]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 5, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "2025年初至今美元指数在冲高至110之后震荡回落到104附近,因新政不确定性、关税武器化、联邦机构整顿以及加州山火和禽流感等外部因素因素在短期内抑制美国经济增长动能,美联储探讨暂停或放缓缩表进程以应对债务上限问题解决前可能出现的美国银行系统准备金波动风险,特朗普强力介入俄乌冲突降低了地缘政治风险带来的避险需求,欧洲财政刺激预期显著提振欧洲国债利率和欧元汇率。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.32, 0.312, 0.903, 0.322], [0.285, 0.336, 0.901, 0.347], [0.285, 0.36, 0.901, 0.371], [0.286, 0.385, 0.902, 0.395], [0.288, 0.409, 0.901, 0.419], [0.286, 0.433, 0.348, 0.444]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "全年看,由于美国政府财政扩张与美联储紧缩货币构成正反馈循环,特朗普2.0关税武器化在增强美国经济就业通胀韧性的同时也会削弱海外经济增长动能,我们预计2025年美元指数继续偏强运行,美元指数核心波动区间为103-114;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.348, 0.433, 0.902, 0.444], [0.285, 0.457, 0.9, 0.467], [0.286, 0.482, 0.856, 0.492], [0.285, 0.507, 0.354, 0.516]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "但由于特朗普2.0新政以及外部短期因素对美国经济的冲击,在美国通过降税减费政策以及美国经济就业通胀韧性再度增强之前美元指数将有阶段性降温过程。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.354, 0.507, 0.903, 0.517], [0.286, 0.53, 0.9, 0.54], [0.285, 0.555, 0.352, 0.565]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "特朗普2.0关税武器化威胁冲击中国外贸形势并施压人民币汇率,但有迹象表明中国决策层有意维持人民币汇率稳定,我们判断2025年人民币汇率整体偏弱但贬值幅度取决于中美博弈因此存在较大不确定性,人民币兑美元汇率核心波动区间为7.1-7.7。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.352, 0.555, 0.9, 0.565], [0.285, 0.578, 0.903, 0.589], [0.286, 0.603, 0.9, 0.612], [0.285, 0.627, 0.447, 0.637]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "图7:美元与人民币汇率", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.08, 0.672, 0.294, 0.685]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 7, "global_sentence_id": 146, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.075, 0.693, 0.476, 0.875]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 8, "global_sentence_id": 147, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.081, 0.878, 0.156, 0.887]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 9, "global_sentence_id": 148, "edu_l1_label": "EDU_O"}, {"txt": "Wind,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.156, 0.878, 0.368, 0.888]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 9, "global_sentence_id": 149, "edu_l1_label": "EDU_O"}, {"txt": "图8:美国国债期限利差", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.51, 0.672, 0.724, 0.685]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 10, "global_sentence_id": 150, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.501, 0.693, 0.901, 0.874]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 11, "global_sentence_id": 151, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.51, 0.877, 0.588, 0.888]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 12, "global_sentence_id": 152, "edu_l1_label": "EDU_O"}, {"txt": "Wind,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.588, 0.877, 0.797, 0.888]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 12, "global_sentence_id": 153, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.422, 0.927, 0.925, 0.938]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 13, "global_sentence_id": 154, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.701, 0.026, 0.906, 0.067]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 155, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.076, 0.043, 0.173, 0.06]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 2, "global_sentence_id": 156, "edu_l1_label": "EDU_O"}, {"txt": "2024年美国国债利率曲线利差从倒挂转为正向,3个月期美债利率回落103BP,而2年期和10年期国债利率分别上行2BP和70BP,主要是就业市场缓解与通胀韧性减弱使得美联储开启降息进程,但美联储降息与美国政府财政扩张重新增强就业与通胀韧性。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.32, 0.07, 0.865, 0.079], [0.285, 0.094, 0.903, 0.105], [0.286, 0.118, 0.901, 0.129], [0.286, 0.143, 0.469, 0.153]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "2025年初至今美国10年期国债利率先从4.58%回升到4.79%再回落到4.16%,特朗普对内大规模驱逐移民、整顿联邦机构以及对外关税武器化使得美国经济衰退风险显著上升,市场对美联储降息预期再度升温。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.469, 0.143, 0.892, 0.153], [0.284, 0.167, 0.903, 0.177], [0.285, 0.191, 0.857, 0.202]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "全年看,美国政府财政扩张以及地缘政治机遇增强美国经济就业与通胀韧性,但美联储政策利率和美元汇率偏高运行也会抑制通胀压力,特朗普2.0新政不确定性提振避险需求,我们判断2025年美债利率大概率高位盘整,10年期国债利率核心波动区间为4-5%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.857, 0.191, 0.902, 0.202], [0.285, 0.215, 0.902, 0.226], [0.285, 0.24, 0.902, 0.251], [0.285, 0.264, 0.895, 0.274], [0.285, 0.287, 0.421, 0.299]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "2.2 市场投资情绪", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.284, 0.33, 0.446, 0.341]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "现货市场方面,2024年初至5月上旬全球金银ETF持仓量继续延续2022年下半年以来的下降趋势,而在金银价格突破上涨2个月之后金银ETF持仓量也企稳回升,2025年以来特朗普新政不确定性提振黄金ETF投资意愿但全球经济增长动能前景减弱抑制白银ETF投资意愿。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.321, 0.364, 0.897, 0.375], [0.285, 0.389, 0.902, 0.398], [0.286, 0.413, 0.903, 0.423], [0.286, 0.437, 0.575, 0.447]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "2025年3月6日SPDR黄金ETF持仓量为898.64吨,较2024年5月份阶段性低点高出8.9%;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.575, 0.437, 0.895, 0.448], [0.285, 0.462, 0.678, 0.471]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "SLV白银ETF持仓量为13509吨,较2024年10月份阶段性高点回落9.7%。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.678, 0.462, 0.903, 0.47], [0.286, 0.485, 0.633, 0.495]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "图9:贵金属ETF持仓量", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.08, 0.53, 0.285, 0.543]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 6, "global_sentence_id": 164, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.073, 0.552, 0.475, 0.732]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 7, "global_sentence_id": 165, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.081, 0.736, 0.156, 0.745]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 8, "global_sentence_id": 166, "edu_l1_label": "EDU_O"}, {"txt": "Wind,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.156, 0.736, 0.368, 0.746]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 8, "global_sentence_id": 167, "edu_l1_label": "EDU_O"}, {"txt": "图10:贵金属CFTC基金净多率", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.51, 0.53, 0.776, 0.544]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 9, "global_sentence_id": 168, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.5, 0.552, 0.905, 0.731]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 10, "global_sentence_id": 169, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.51, 0.735, 0.585, 0.745]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 11, "global_sentence_id": 170, "edu_l1_label": "EDU_O"}, {"txt": "Wind,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.585, 0.735, 0.797, 0.746]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 11, "global_sentence_id": 171, "edu_l1_label": "EDU_O"}, {"txt": "在CFTC持仓方面,2025年2月25日当周非商业机构分别减持黄金期货期权多单9314张和空单1981张,分别减持白银期货期权多单7146张和空单4949张,结果是金银基金净多率分别回升至34.6%和26.7%;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.322, 0.775, 0.903, 0.786], [0.287, 0.8, 0.902, 0.811], [0.285, 0.824, 0.673, 0.835]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 172, "edu_l1_label": "IOS"}, {"txt": "金银净多率的八年COT指标分别为92.6%和72.9%,这意味着黄金市场机构多仓量处于高水平区间从而存在潜在踩踏风险而白银市场机构多仓量也处于偏高水平。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.673, 0.824, 0.902, 0.835], [0.286, 0.849, 0.902, 0.859], [0.285, 0.872, 0.664, 0.883]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 173, "edu_l1_label": "IOS"}, {"txt": "因CFTC公布的持仓数据距离周报写作时间有10天,对行情指导意义不大。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.664, 0.872, 0.903, 0.884], [0.285, 0.897, 0.619, 0.907]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.422, 0.927, 0.924, 0.938]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 13, "global_sentence_id": 175, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.702, 0.026, 0.906, 0.067]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 176, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.076, 0.043, 0.173, 0.06]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 2, "global_sentence_id": 177, "edu_l1_label": "EDU_O"}, {"txt": "2.3 贵金属回顾展望", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.284, 0.071, 0.466, 0.083]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 3, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": "从长周期看,百年变局和中美博弈推高地缘政治风险并冲击全球经济贸易货币体系,为贵金属带来地缘政治风险诱发的避险需求和全球贸易货币体系重组派生的储备分散化需求;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.322, 0.105, 0.901, 0.116], [0.287, 0.129, 0.901, 0.14], [0.285, 0.153, 0.452, 0.164]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "2025年特朗普重返白宫循丛林法则重构地缘战略空间并推动关税武器化,亲手摧毁二战后其主导建立的全球政治经济贸易货币体系,来自全球政经格局重组的避险需求将持续推高金价波动中枢。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.452, 0.153, 0.903, 0.164], [0.286, 0.177, 0.899, 0.188], [0.286, 0.202, 0.719, 0.212]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "从中周期看,特朗普2.0新政对美国经济就业通胀韧性提振作用相对有限,美联储放缓降息步伐缩减降息幅度但不太可能转为加息,虽然美元指数偏强运行但美债利率上升空间相对有限,金价上涨斜率有所放缓且波动加大但大体上仍将延续上涨趋势,人民币对美元汇率贬值使得人民币金价相对美元金价更为坚挺,银价因制造业库存周期转折以及特朗普2.0新政冲击而相对偏弱。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.719, 0.202, 0.904, 0.211], [0.286, 0.226, 0.9, 0.237], [0.285, 0.25, 0.903, 0.262], [0.285, 0.274, 0.901, 0.285], [0.286, 0.299, 0.901, 0.309], [0.285, 0.322, 0.54, 0.334]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "图11:伦敦金银走势", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.08, 0.368, 0.264, 0.382]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 182, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.073, 0.389, 0.476, 0.57]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 6, "global_sentence_id": 183, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.081, 0.574, 0.156, 0.583]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 7, "global_sentence_id": 184, "edu_l1_label": "EDU_O"}, {"txt": "Wind,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.156, 0.574, 0.368, 0.584]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 7, "global_sentence_id": 185, "edu_l1_label": "EDU_O"}, {"txt": "图12:上海金银走势", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.51, 0.368, 0.694, 0.381]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 8, "global_sentence_id": 186, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.491, 0.383, 0.904, 0.569]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 9, "global_sentence_id": 187, "edu_l1_label": "EDU_O"}, {"txt": "数据来源:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.51, 0.574, 0.588, 0.584]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 10, "global_sentence_id": 188, "edu_l1_label": "EDU_O"}, {"txt": "Wind,建信期货研究发展部", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.588, 0.574, 0.796, 0.584]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 10, "global_sentence_id": 189, "edu_l1_label": "EDU_O"}, {"txt": "短期看,2024年底以来金价在中国印度年底节日消费旺季预期、特朗普2.0新政不确定性引发的避险需求、美元汇率和美债利率偏弱回落、美国经济短期衰退风险上升以及美联储降息预期升温等因素影响下重新开始新一轮上涨。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.321, 0.613, 0.898, 0.624], [0.286, 0.638, 0.901, 0.648], [0.286, 0.662, 0.839, 0.673]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": "目前看金饰节日消费旺季已经结束,关税武器化引发的避险需求因关税政策反复而减弱,俄乌冲突和巴以冲突缓解前景也削弱了来自地缘政治风险的避险需求,加上黄金市盈率偏高以及机构多头仓位偏重也使得金价具有较大的内在脆弱性,因此金价上涨动能有所减弱且波动性有所上升。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.839, 0.662, 0.901, 0.673], [0.285, 0.686, 0.902, 0.697], [0.286, 0.71, 0.902, 0.721], [0.286, 0.733, 0.902, 0.745], [0.286, 0.759, 0.574, 0.77]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "但美国经济短期衰退风险不减,偏高估值水平的美股有进一步调整空间,美联储降息预期可能继续升温,来自美国经济和金融市场的避险需求可能继续支撑金价偏强运行,建议投资者在设好止损的情况下继续持偏多思路参与交易,关注伦敦黄金在2850美元/盎司、人民币金价在668元/克附近的支撑力度。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.574, 0.759, 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# 中国加大逆周期调节力度应对外需不确定性 ## 一、宏观环境评述 ### 1.1 经济:美国经济短期衰退风险 ### 1.2 政策:中国加大逆周期调节力度 ## 二、贵金属市场分析 ### 2.1 美债利率与美元汇率 ### 2.2 市场投资情绪 ### 2.3 贵金属回顾展望 ### 2.4贵金属相关图表
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"加征关税的幅度是10%、40%还是其他;", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[191]/span"}]}, "tags": [], "label": "content", "web_segment_id": 147, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "加征的时间段是一次性执行,还是分批进行?", "language": "chinese", "position": {"atoms": [{"position_id": 2846, "txt": "加征的时间段是一次性执行,还是分批进行?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[193]/span"}]}, "tags": [], "label": "content", "web_segment_id": 148, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "是否会通过谈判达成协议?", "language": "chinese", "position": {"atoms": [{"position_id": 2847, "txt": "是否会通过谈判达成协议?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[193]/span"}]}, "tags": [], "label": "content", "web_segment_id": 148, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "这些问题甚至在美国国内也有不同的观点和利益集团在博弈。", "language": "chinese", "position": {"atoms": [{"position_id": 2849, "txt": "这些问题甚至在美国国内也有不同的观点和利益集团在博弈。", "x": 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"这种情况下,加征关税幅度可能会保持在15%到20%之间,现有对中国的关税约为20%,两者叠加后,大约会达到35%到40%。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[201]/span"}]}, "tags": [], "label": "content", "web_segment_id": 152, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "这种中性烈度的贸易战,既能给各国带来实质性的压力和冲击,也能够回应特朗普竞选时的承诺。", "language": "chinese", "position": {"atoms": [{"position_id": 2857, "txt": "这种中性烈度的贸易战,既能给各国带来实质性的压力和冲击,也能够回应特朗普竞选时的承诺。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[203]/span"}]}, "tags": [], "label": "content", "web_segment_id": 153, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "同时,这种幅度的加征关税也能在一定程度上控制对美国经济的负面影响,避免对特朗普中期选举带来过大副作用。", "language": "chinese", "position": {"atoms": [{"position_id": 2859, "txt": "同时,这种幅度的加征关税也能在一定程度上控制对美国经济的负面影响,避免对特朗普中期选举带来过大副作用。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[205]/span"}]}, "tags": [], "label": "content", "web_segment_id": 154, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "因此,尽管这场贸易战从战略方向上是高度确定的,但在具体的战术博弈上,仍然存在相当大的不确定性。", "language": "chinese", "position": {"atoms": [{"position_id": 2861, "txt": "因此,尽管这场贸易战从战略方向上是高度确定的,但在具体的战术博弈上,仍然存在相当大的不确定性。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[207]/span"}]}, "tags": [], "label": "content", "web_segment_id": 155, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1WzY9U3fbctcvZHxS1HZNxG.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 745, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1WzY9U3fbctcvZHxS1HZNxG.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[9]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 156, "global_sentence_id": 164, "edu_l1_label": "EDU_O"}, {"txt": "我想提醒大家注意两点:", "language": "chinese", "position": {"atoms": [{"position_id": 2863, "txt": "我想提醒大家注意两点:", "x": 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"global_sentence_id": 517, "edu_l1_label": "EDU_O"}, {"txt": "每一次潮水,都是一代人的转身", "language": "chinese", "position": {"atoms": [{"position_id": 3586, "txt": "每一次潮水,都是一代人的转身", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/ul/li[2]/p/a"}]}, "tags": ["li"], "label": "O", "web_segment_id": 451, "global_sentence_id": 518, "edu_l1_label": "EDU_O"}, {"txt": "笔记侠柯洲2024年度演讲:", "language": "chinese", "position": {"atoms": [{"position_id": 3588, "txt": "笔记侠柯洲2024年度演讲:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/ul/li[3]/p/a"}]}, "tags": ["li"], "label": "O", "web_segment_id": 452, "global_sentence_id": 519, "edu_l1_label": "EDU_O"}, {"txt": "一切出路,都在思路里!", "language": "chinese", "position": {"atoms": [{"position_id": 3589, "txt": "一切出路,都在思路里!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/ul/li[3]/p/a"}]}, "tags": ["li"], "label": "O", "web_segment_id": 452, "global_sentence_id": 520, "edu_l1_label": "EDU_O"}, {"txt": "分享、点赞、在看,3连3连!", "language": "chinese", "position": {"atoms": [{"position_id": 3591, "txt": "分享、点赞、在看,3连3连!", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[38]/strong[1]"}]}, "tags": ["strong"], "label": "O", "web_segment_id": 453, "global_sentence_id": 521, "edu_l1_label": "EDU_O"}, {"txt": "<img https://mmbiz.qpic.cn/mmbiz_gif/mmF0rTjMmmKZIUILXTItEet6ibM90lIWhKibHGnNdyQicw5zHCjmjItuImUHHgB2oNJ5cq41p9xolv3cD3puJNZ5w/640?wx_fmt=gif&wxfrom=5&wx_lazy=1&tp=wxpic", "language": "chinese", "position": {"atoms": [{"position_id": 2485, "txt": "<img https://mmbiz.qpic.cn/mmbiz_gif/mmF0rTjMmmKZIUILXTItEet6ibM90lIWhKibHGnNdyQicw5zHCjmjItuImUHHgB2oNJ5cq41p9xolv3cD3puJNZ5w/640?wx_fmt=gif&wxfrom=5&wx_lazy=1&tp=wxpic", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[38]/strong[2]/img"}]}, "tags": ["img", "strong"], "label": "O", "web_segment_id": 453, "global_sentence_id": 522, "edu_l1_label": "EDU_O"}, {"txt": " 笔记侠 ", "language": "chinese", "position": {"atoms": [{"position_id": 3593, "txt": "\n 笔记侠 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 471, "global_sentence_id": 523, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 2025怎么赚钱?你必须知道的十大变数 ## 宏观趋势 ## 一、AI引领第四次科技革命 成中美博弈焦点 ## 二、特普朗2.0带来不确定性 中国短期受冲击 ## 三、2025年经济增速 能否稳定在4.5%~5%? ## 四、房地产市场分化 住房与财政模式转变 ## 五、资本市场成主战场 A股慢牛要素待解 ## 六、中美贸易战下 A股人民币与出口形势有变 ## 七、投资为扩内需重点 新质生产力挑大梁 ## 八、消费成发动机 需先解决钱从哪里来 ## 九、老龄化少子化下 养老成未来20年挑战 ## 十、就业形势严峻 AI对就业影响有分化 ### 1.大学生就业 ### 2.农民工、低端劳动力的失业再就业
f09b2097-90eb-44e3-9ae5-058e76c866cb
web
test/raw_web_htmls/f09b2097-90eb-44e3-9ae5-058e76c866cb.html
https://mp.weixin.qq.com/s/Rx6BjLOX4JohXY2komk1GA
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"label": "content", "web_segment_id": 52, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4s35Yv1GRbFM120IjE1gNOPV.png", "language": "chinese", "position": {"atoms": [{"position_id": 98, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4s35Yv1GRbFM120IjE1gNOPV.png", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[10]/section/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 53, "global_sentence_id": 24, "edu_l1_label": "EDU_O"}, {"txt": "3. 进入升级版:", "language": "chinese", "position": {"atoms": [{"position_id": 205, "txt": "3. 进入升级版:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[10]/p[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "登录后,点击进入期刊分区表升级版。", "language": "chinese", "position": {"atoms": [{"position_id": 206, "txt": "登录后,点击进入期刊分区表升级版。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[10]/p[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3WGPGd36pvNA1SkrWV1H6bCC.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 103, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/3WGPGd36pvNA1SkrWV1H6bCC.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[11]/section/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 55, "global_sentence_id": 27, "edu_l1_label": "EDU_O"}, {"txt": "4. 输入查询地址:", "language": "chinese", "position": {"atoms": [{"position_id": 208, "txt": "4. 输入查询地址:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[12]/p[1]/span"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "在浏览器地址栏输入", "language": "chinese", "position": {"atoms": [{"position_id": 209, "txt": "在浏览器地址栏输入", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[12]/p[1]/span"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": " https://advanced.fenqubiao.com/Journal/Index?year=2025&k=", "language": "chinese", "position": {"atoms": [{"position_id": 211, "txt": " https://advanced.fenqubiao.com/Journal/Index?year=2025&k=", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[12]/p[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "并在“k=”后添加你想要查询的期刊名称。", "language": "chinese", "position": {"atoms": [{"position_id": 213, "txt": "并在“k=”后添加你想要查询的期刊名称。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[12]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "期刊名称支持模糊查询,如果期刊名称中有空格,需用“%20”代替。", "language": "chinese", "position": {"atoms": [{"position_id": 214, "txt": "期刊名称支持模糊查询,如果期刊名称中有空格,需用“%20”代替。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[12]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/35Yzqx2NUR2y1vQhAM4CyQ7d.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 113, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/35Yzqx2NUR2y1vQhAM4CyQ7d.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[13]/section/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 59, "global_sentence_id": 33, "edu_l1_label": "EDU_O"}, {"txt": "5. 查看结果:", "language": "chinese", "position": {"atoms": [{"position_id": 216, "txt": "5. 查看结果:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[14]/p/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "输入完成后,即可查看该期刊在2025年的分区情况。", "language": "chinese", "position": {"atoms": [{"position_id": 217, "txt": "输入完成后,即可查看该期刊在2025年的分区情况。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[14]/p/span"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "部分名单整理", "language": "chinese", "position": {"atoms": [{"position_id": 219, "txt": "部分名单整理", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[15]/section/section/p/strong/span/span"}]}, "tags": ["strong"], "label": "title1", "web_segment_id": 61, "global_sentence_id": 36, "edu_l1_label": "BOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1ESuMRmQyC11MKQ1h2nI4Ag.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 129, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/1ESuMRmQyC11MKQ1h2nI4Ag.jpeg", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section/section[16]/section/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 62, "global_sentence_id": 37, "edu_l1_label": "EDU_O"}, {"txt": "注意:", "language": "chinese", "position": {"atoms": [{"position_id": 221, "txt": "注意:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "目前分区表官网尚未完全开放查询,以上内容为目前查到的情况,不排除后面发生变化的可能。", "language": "chinese", "position": {"atoms": [{"position_id": 223, "txt": "目前分区表官网尚未完全开放查询,以上内容为目前查到的情况,不排除后面发生变化的可能。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/span/span"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": " 小白资源盒 ", "language": "chinese", "position": {"atoms": [{"position_id": 225, "txt": "\n 小白资源盒 ", "x": "/html/body/div[4]/div[2]/div[2]/div[1]/div[1]/div/div/div/div/div[2]/div/div"}]}, "tags": [], "label": "O", "web_segment_id": 81, "global_sentence_id": 40, "edu_l1_label": "EDU_O"}], "type": "WEB"}
# 重磅!2025 中科院分区表发布,附名单 ## 2025中科院分区查询方式 ## 部分名单整理
db59434f-163e-45dc-a0be-05075c4ba3f7
web
test/raw_web_htmls/db59434f-163e-45dc-a0be-05075c4ba3f7.html
https://36kr.com/p/3152823677442817?f=rss
{"entry_id": "db59434f-163e-45dc-a0be-05075c4ba3f7", "infos": [{"txt": "中国游戏市场为什么这么多“垃圾游戏”?", "language": "chinese", "position": {"atoms": [{"position_id": 0, "txt": "中国游戏市场为什么这么多“垃圾游戏”?", "x": "//h1[contains(@class, \"article-title\")]"}]}, "tags": [], "label": "O", "web_segment_id": 0, "global_sentence_id": 0, "edu_l1_label": "EDU_O"}, {"txt": "中国游戏市场为什么这么多“垃圾游戏”?", "language": "chinese", "position": {"atoms": [{"position_id": 422, "txt": "中国游戏市场为什么这么多“垃圾游戏”?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[1]/div/h1"}]}, "tags": ["h1"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "观网财经·2025年02月05日 08:33", "language": "chinese", "position": {"atoms": [{"position_id": 424, "txt": "观网财经", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[1]/div/div[1]/a"}, {"position_id": 426, "txt": "·", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[1]/div/div[1]/span/i"}, {"position_id": 428, "txt": "2025年02月05日 08:33", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[1]/div/div[1]/span/i"}]}, "tags": [], "label": "source", "web_segment_id": 2, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "《黑神话》的出现就是希望", "language": "chinese", "position": {"atoms": [{"position_id": 430, "txt": "《黑神话》的出现就是希望", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[1]/div/div[2]"}]}, "tags": [], "label": "introduction", "web_segment_id": 3, "global_sentence_id": 3, "edu_l1_label": "EDU_O"}, {"txt": "春节寒假,很多家长都在头疼孩子玩游戏的事。", "language": "chinese", "position": {"atoms": [{"position_id": 432, "txt": "春节寒假,很多家长都在头疼孩子玩游戏的事。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 4, "edu_l1_label": "BOS"}, {"txt": "作为一个游戏行业从业人员,我也经常被问该怎么防止孩子玩游戏,特别是一些“垃圾游戏”,纯粹是既浪费时间又浪费钱。", "language": "chinese", "position": {"atoms": [{"position_id": 433, "txt": "作为一个游戏行业从业人员,我也经常被问该怎么防止孩子玩游戏,特别是一些“垃圾游戏”,纯粹是既浪费时间又浪费钱。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 4, "global_sentence_id": 5, "edu_l1_label": "IOS"}, {"txt": "说实话,对于这个问题,我觉得不应该简单地一棒子打死。", "language": "chinese", "position": {"atoms": [{"position_id": 435, "txt": "说实话,对于这个问题,我觉得不应该简单地一棒子打死。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 6, "edu_l1_label": "IOS"}, {"txt": "中国游戏产业发展至今,并不是一开始就是这样子的。", "language": "chinese", "position": {"atoms": [{"position_id": 436, "txt": "中国游戏产业发展至今,并不是一开始就是这样子的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 7, "edu_l1_label": "IOS"}, {"txt": "我尽量从一个客观的角度来描述下这个行业在中国的发展历程,希望读者看完本篇文章后能思考出自己的结论。", "language": "chinese", "position": {"atoms": [{"position_id": 437, "txt": "我尽量从一个客观的角度来描述下这个行业在中国的发展历程,希望读者看完本篇文章后能思考出自己的结论。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 8, "edu_l1_label": "IOS"}, {"txt": "当然,这只是我个人的一些经历,不到之处还请各位谅解。", "language": "chinese", "position": {"atoms": [{"position_id": 438, "txt": "当然,这只是我个人的一些经历,不到之处还请各位谅解。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 5, "global_sentence_id": 9, "edu_l1_label": "IOS"}, {"txt": "我个人接触的第一款网络游戏,还是2000年的《网络创世纪》。", "language": "chinese", "position": {"atoms": [{"position_id": 440, "txt": "我个人接触的第一款网络游戏,还是2000年的《网络创世纪》。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 10, "edu_l1_label": "IOS"}, {"txt": "其实这款网络游戏在国内貌似没有官方的代理,所以当时我玩的应该是私服。", "language": "chinese", "position": {"atoms": [{"position_id": 441, "txt": "其实这款网络游戏在国内貌似没有官方的代理,所以当时我玩的应该是私服。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 11, "edu_l1_label": "IOS"}, {"txt": "同时期还有《网络三国》和《网络金庸》等等游戏,不过由于穷学生无法负担相关花费,我没有体验过。", "language": "chinese", "position": {"atoms": [{"position_id": 442, "txt": "同时期还有《网络三国》和《网络金庸》等等游戏,不过由于穷学生无法负担相关花费,我没有体验过。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 12, "edu_l1_label": "IOS"}, {"txt": "我记忆中的国内网络游戏市场的第一款“大作”应该是《石器时代》,然后《龙族》、《魔力宝贝》、《传奇》、《奇迹》、《RO》等等产品就纷纷出现了。", "language": "chinese", "position": {"atoms": [{"position_id": 443, "txt": "我记忆中的国内网络游戏市场的第一款“大作”应该是《石器时代》,然后《龙族》、《魔力宝贝》、《传奇》、《奇迹》、《RO》等等产品就纷纷出现了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 6, "global_sentence_id": 13, "edu_l1_label": "IOS"}, {"txt": "这段时间网络游戏能快速发展,其实依托于PC以及互联网的迅速普及。", "language": "chinese", "position": {"atoms": [{"position_id": 445, "txt": "这段时间网络游戏能快速发展,其实依托于PC以及互联网的迅速普及。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 14, "edu_l1_label": "IOS"}, {"txt": "世纪之交的时候我们还在用电话线拨号上网,ISDN昙花一现后,2001年我们在校园内就普及了ADSL(因为9·11事件,这个时间我记得很清楚),同寝室可以共享宽带上网了。", "language": "chinese", "position": {"atoms": [{"position_id": 446, "txt": "世纪之交的时候我们还在用电话线拨号上网,ISDN昙花一现后,2001年我们在校园内就普及了ADSL(因为9·11事件,这个时间我记得很清楚),同寝室可以共享宽带上网了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "同时PC的价格也在逐步下降,网吧的兴起也让普通人接触互联网游戏的成本大幅度下降了。", "language": "chinese", "position": {"atoms": [{"position_id": 447, "txt": "同时PC的价格也在逐步下降,网吧的兴起也让普通人接触互联网游戏的成本大幅度下降了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 7, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "这个时期,网络游戏的收费方式还比较简单,一般采用时长收费和包月收费,包月的花费一般在30元人民币上下。", "language": "chinese", "position": {"atoms": [{"position_id": 449, "txt": "这个时期,网络游戏的收费方式还比较简单,一般采用时长收费和包月收费,包月的花费一般在30元人民币上下。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "也有一些产品在时长收费的同时,进行了虚拟道具收费的探索,比如《石器时代》的各种宠物包。", "language": "chinese", "position": {"atoms": [{"position_id": 450, "txt": "也有一些产品在时长收费的同时,进行了虚拟道具收费的探索,比如《石器时代》的各种宠物包。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 8, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "而《奇迹》的“充点卡送宝石”活动,更类似于时长点卡的促销,而不应该看成是虚拟道具的销售。", "language": "chinese", "position": {"atoms": [{"position_id": 451, "txt": "而《奇迹》的“充点卡送宝石”活动,更类似于时长点卡的促销,而不应该看成是虚拟道具的销售。", "x": 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"web_segment_id": 10, "global_sentence_id": 21, "edu_l1_label": "EDU_O"}, {"txt": "这个时期,“免费游戏”的概念还没有提出,我个人认为《疯狂坦克》收费方式也可以算是一种尝试:", "language": "chinese", "position": {"atoms": [{"position_id": 455, "txt": "这个时期,“免费游戏”的概念还没有提出,我个人认为《疯狂坦克》收费方式也可以算是一种尝试:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 11, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "游戏提供了非常多的坦克车型供玩家选择,如果付15元的月卡(个人记忆,不对之处请指正),可以选择所有坦克;", "language": "chinese", "position": {"atoms": [{"position_id": 456, "txt": "游戏提供了非常多的坦克车型供玩家选择,如果付15元的月卡(个人记忆,不对之处请指正),可以选择所有坦克;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 11, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "如果不付费也可以进行游戏,但是只能用“老炮”这一款坦克,就是普通弹为大范围爆炸效果榴弹,而特殊弹为小红点穿甲弹的那款。", "language": "chinese", "position": {"atoms": [{"position_id": 457, "txt": "如果不付费也可以进行游戏,但是只能用“老炮”这一款坦克,就是普通弹为大范围爆炸效果榴弹,而特殊弹为小红点穿甲弹的那款。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 11, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "01 一个游戏运营公司都有哪些部门", "language": "chinese", "position": {"atoms": [{"position_id": 459, "txt": "01 一个游戏运营公司都有哪些部门", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/h2[1]/strong"}]}, "tags": ["h2", "strong"], "label": "title1", "web_segment_id": 12, "global_sentence_id": 25, "edu_l1_label": "BOS"}, {"txt": "2003年我大学毕业后,入职了一家新创建的上海游戏企业,对于游戏产业的运营也逐步有一定了解。", "language": "chinese", "position": {"atoms": [{"position_id": 461, "txt": "2003年我大学毕业后,入职了一家新创建的上海游戏企业,对于游戏产业的运营也逐步有一定了解。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "这个时期,国内游戏自研的企业和产品还非常少,绝大多数的产品还是来源于日韩和台湾省。", "language": "chinese", "position": {"atoms": [{"position_id": 462, "txt": "这个时期,国内游戏自研的企业和产品还非常少,绝大多数的产品还是来源于日韩和台湾省。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[9]"}]}, "tags": [], "label": "content", "web_segment_id": 13, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "所以游戏企业首先需要获得游戏在中国大陆的运营代理权,这意味着代理公司需要向游戏研发企业支付版权金和保底分成费用。", "language": "chinese", "position": {"atoms": [{"position_id": 464, "txt": "所以游戏企业首先需要获得游戏在中国大陆的运营代理权,这意味着代理公司需要向游戏研发企业支付版权金和保底分成费用。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "版权金比较简单,就是获得代理权所支付的金额;", "language": "chinese", "position": {"atoms": [{"position_id": 465, "txt": "版权金比较简单,就是获得代理权所支付的金额;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "保底分成指的是游戏运营企业向研发企业提前支付的后续收入的分成。", "language": "chinese", "position": {"atoms": [{"position_id": 466, "txt": "保底分成指的是游戏运营企业向研发企业提前支付的后续收入的分成。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[10]"}]}, "tags": [], "label": "content", "web_segment_id": 14, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "比如A企业向B企业的某游戏支付版权金100万美元,保底分成100万美元,分成比例为A公司80%,B公司20%。", "language": "chinese", "position": {"atoms": [{"position_id": 468, "txt": "比如A企业向B企业的某游戏支付版权金100万美元,保底分成100万美元,分成比例为A公司80%,B公司20%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "那么在游戏收入未达到500万美元的时候,A公司不用向B公司支付分成费用,因为这部分已经作为“保底分成”提前支付了。", "language": "chinese", "position": {"atoms": [{"position_id": 469, "txt": "那么在游戏收入未达到500万美元的时候,A公司不用向B公司支付分成费用,因为这部分已经作为“保底分成”提前支付了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "当游戏收入超过500万美金后,双方按照8:", "language": "chinese", "position": {"atoms": [{"position_id": 470, "txt": "当游戏收入超过500万美金后,双方按照8:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "2的比例再进行结算。", "language": "chinese", "position": {"atoms": [{"position_id": 471, "txt": "2的比例再进行结算。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[11]"}]}, "tags": [], "label": "content", "web_segment_id": 15, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "同时双方可能还约定一些特殊“奖励”,比如游戏同时在线人数超过X万,A公司向B公司支付约定的奖励等等。", "language": "chinese", "position": {"atoms": [{"position_id": 473, "txt": "同时双方可能还约定一些特殊“奖励”,比如游戏同时在线人数超过X万,A公司向B公司支付约定的奖励等等。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 35, "edu_l1_label": "IOS"}, {"txt": "还有就是“阶梯分成”,比如每月100万美元以下B公司分成20%,超过100万不到200万部分,B公司分成22%等等。", "language": "chinese", "position": {"atoms": [{"position_id": 474, "txt": "还有就是“阶梯分成”,比如每月100万美元以下B公司分成20%,超过100万不到200万部分,B公司分成22%等等。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "这些就比较灵活了。", "language": "chinese", "position": {"atoms": [{"position_id": 475, "txt": "这些就比较灵活了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "不过不是每个游戏都一样,也有可能只收版权金不收保底分成,或者反过来都有可能。", "language": "chinese", "position": {"atoms": [{"position_id": 476, "txt": "不过不是每个游戏都一样,也有可能只收版权金不收保底分成,或者反过来都有可能。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[12]"}]}, "tags": [], "label": "content", "web_segment_id": 16, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "运营方和研发方签署协议后,就开始了游戏的本地化工作,比如翻译、定价等等。", "language": "chinese", "position": {"atoms": [{"position_id": 478, "txt": "运营方和研发方签署协议后,就开始了游戏的本地化工作,比如翻译、定价等等。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "然后就是申请版号,相关流程我在之前的文章中已经详细说明了,这里不再赘述。", "language": "chinese", "position": {"atoms": [{"position_id": 479, "txt": "然后就是申请版号,相关流程我在之前的文章中已经详细说明了,这里不再赘述。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[13]"}]}, "tags": [], "label": "content", "web_segment_id": 17, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "接下来的工作就比较繁杂了,我分职能部门来说。", "language": "chinese", "position": {"atoms": [{"position_id": 481, "txt": "接下来的工作就比较繁杂了,我分职能部门来说。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[14]"}]}, "tags": [], "label": "content", "web_segment_id": 18, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "运维部门,最强壮(字面意思)的部门:", "language": "chinese", "position": {"atoms": [{"position_id": 483, "txt": "运维部门,最强壮(字面意思)的部门:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[15]"}]}, "tags": [], "label": "content", "web_segment_id": 19, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "网络游戏肯定有服务端要运行,当时国内主要两大网络运营商是电信和网通(大合并之前),而两家网络之间的互联互通真的是一言难尽,如果你是电信用户,连接运行在网通机房的服务器时,就会出现高延迟甚至无法连接的情况;", "language": "chinese", "position": {"atoms": [{"position_id": 485, "txt": "网络游戏肯定有服务端要运行,当时国内主要两大网络运营商是电信和网通(大合并之前),而两家网络之间的互联互通真的是一言难尽,如果你是电信用户,连接运行在网通机房的服务器时,就会出现高延迟甚至无法连接的情况;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[1]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "反过来网通用户连电信服务器也一样。", "language": "chinese", "position": {"atoms": [{"position_id": 486, "txt": "反过来网通用户连电信服务器也一样。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[1]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 20, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "用户在进入网络游戏服务器之前,先要选择进入电信或者网通大区。", "language": "chinese", "position": {"atoms": [{"position_id": 488, "txt": "用户在进入网络游戏服务器之前,先要选择进入电信或者网通大区。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[1]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "所以对于游戏厂商,第一步要选择机房。", "language": "chinese", "position": {"atoms": [{"position_id": 489, "txt": "所以对于游戏厂商,第一步要选择机房。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[1]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "一般来说,我们会选择电信和网络核心节点的机房,然后想办法从全国各地测试机房的网络状况,选择延迟和丢包最小的机房。", "language": "chinese", "position": {"atoms": [{"position_id": 490, "txt": "一般来说,我们会选择电信和网络核心节点的机房,然后想办法从全国各地测试机房的网络状况,选择延迟和丢包最小的机房。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[1]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "根据对游戏日后运营规模,简单点说就是对同时在线人数的预估,购买或租赁服务器。", "language": "chinese", "position": {"atoms": [{"position_id": 491, "txt": "根据对游戏日后运营规模,简单点说就是对同时在线人数的预估,购买或租赁服务器。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[1]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 21, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "服务器准备完毕后,就是运输到机房进行上架工作,某些情况下还会有前置的机房电源、空调等施工工作。", "language": "chinese", "position": {"atoms": [{"position_id": 493, "txt": "服务器准备完毕后,就是运输到机房进行上架工作,某些情况下还会有前置的机房电源、空调等施工工作。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[1]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "后续还有设备零件更换、设备上下架等等工作。", "language": "chinese", "position": {"atoms": [{"position_id": 494, "txt": "后续还有设备零件更换、设备上下架等等工作。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[1]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "这个部门的同事没有一个好身体真的搞不定,当时我们有一个玩笑:", "language": "chinese", "position": {"atoms": [{"position_id": 495, "txt": "这个部门的同事没有一个好身体真的搞不定,当时我们有一个玩笑:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[1]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "一手夹一台1U服务器的运维算合格,一手夹一台2U服务器的运维算牛X。", "language": "chinese", "position": {"atoms": [{"position_id": 496, "txt": "一手夹一台1U服务器的运维算合格,一手夹一台2U服务器的运维算牛X。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[1]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 22, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "开发(平台)部门,最有钱(平均工资)的部门:", "language": "chinese", "position": {"atoms": [{"position_id": 498, "txt": "开发(平台)部门,最有钱(平均工资)的部门:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[16]"}]}, "tags": [], "label": "content", "web_segment_id": 23, "global_sentence_id": 53, "edu_l1_label": "IOS"}, {"txt": "没错,游戏运营企业也需要开发部门。", "language": "chinese", "position": {"atoms": [{"position_id": 500, "txt": "没错,游戏运营企业也需要开发部门。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[2]/p"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "游戏的官网、用户系统、充值系统、各项数据统计、监控、对账、老版本防沉迷系统等等,都需要这个部门的同事们来搞定。", "language": "chinese", "position": {"atoms": [{"position_id": 501, "txt": "游戏的官网、用户系统、充值系统、各项数据统计、监控、对账、老版本防沉迷系统等等,都需要这个部门的同事们来搞定。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[2]/p"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "这个部门内程序员同学的比例极高,所以平均工资可能是全公司最高的。", "language": "chinese", "position": {"atoms": [{"position_id": 502, "txt": "这个部门内程序员同学的比例极高,所以平均工资可能是全公司最高的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[2]/p"}]}, "tags": [], "label": "content", "web_segment_id": 24, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "销售(渠道)部门,最能喝(酒)的部门:", "language": "chinese", "position": {"atoms": [{"position_id": 504, "txt": "销售(渠道)部门,最能喝(酒)的部门:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[17]"}]}, "tags": [], "label": "content", "web_segment_id": 25, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "这个部门的工作,要从当时的付费模式来说起。", "language": "chinese", "position": {"atoms": [{"position_id": 506, "txt": "这个部门的工作,要从当时的付费模式来说起。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "当时网络游戏常用的是PP(prepay)卡付费(还有其他的如声讯电话、短信扣费等等,所占比例不大,且通道费贵、坏账率高),也就是大家见到的在报刊亭、便利店等等地方销售的刮刮卡,包含一段序列号和一段密码。", "language": "chinese", "position": {"atoms": [{"position_id": 507, "txt": "当时网络游戏常用的是PP(prepay)卡付费(还有其他的如声讯电话、短信扣费等等,所占比例不大,且通道费贵、坏账率高),也就是大家见到的在报刊亭、便利店等等地方销售的刮刮卡,包含一段序列号和一段密码。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "玩家购买后刮开覆盖在密码上的涂层,然后登录游戏官网的付费页面,将序列号和密码输入后,获得对应的点数,然后购买游戏时长。", "language": "chinese", "position": {"atoms": [{"position_id": 508, "txt": "玩家购买后刮开覆盖在密码上的涂层,然后登录游戏官网的付费页面,将序列号和密码输入后,获得对应的点数,然后购买游戏时长。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 26, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "但是一般的游戏运营公司,是没有能力将自己的刮刮卡铺到最终销售网点的,这个时候就出现了“国代”和“省代”两种模式。", "language": "chinese", "position": {"atoms": [{"position_id": 510, "txt": "但是一般的游戏运营公司,是没有能力将自己的刮刮卡铺到最终销售网点的,这个时候就出现了“国代”和“省代”两种模式。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 27, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "“国代”就是指游戏运营企业将刮刮卡的销售权代理给一家渠道商,当时有几家最为有名:", "language": "chinese", "position": {"atoms": [{"position_id": 512, "txt": "“国代”就是指游戏运营企业将刮刮卡的销售权代理给一家渠道商,当时有几家最为有名:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "智冠、骏网、连邦软件,然后由渠道商将游戏运营企业的刮刮卡铺货到最终的线下销售点。", "language": "chinese", "position": {"atoms": [{"position_id": 513, "txt": "智冠、骏网、连邦软件,然后由渠道商将游戏运营企业的刮刮卡铺货到最终的线下销售点。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "而游戏运营企业一般按照点卡面额的7-8折出货给渠道商。", "language": "chinese", "position": {"atoms": [{"position_id": 514, "txt": "而游戏运营企业一般按照点卡面额的7-8折出货给渠道商。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 28, "global_sentence_id": 64, "edu_l1_label": "IOS"}, {"txt": "“省代”模式就是游戏运营企业分别将某个省或某几个省的点卡销售,找一家当地的渠道商进行代理。", "language": "chinese", "position": {"atoms": [{"position_id": 516, "txt": "“省代”模式就是游戏运营企业分别将某个省或某几个省的点卡销售,找一家当地的渠道商进行代理。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": "因为这个过程中少了全国代理这一层,所以“省代”的进货价格会略高于“国代”,而游戏运营企业通过这种模式也可以获得更高的利润率。", "language": "chinese", "position": {"atoms": [{"position_id": 517, "txt": "因为这个过程中少了全国代理这一层,所以“省代”的进货价格会略高于“国代”,而游戏运营企业通过这种模式也可以获得更高的利润率。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 29, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "在和“省代”签约的时候,游戏运营企业为了鼓励销售,一般会对“省代”有“返点”,指的是“省代”在一段时间(月、季、年都有可能)进货达到一定额度的时候,游戏运营企业会给“省代”现金或刮刮卡返点,进货越多返点越高。", "language": "chinese", "position": {"atoms": [{"position_id": 519, "txt": "在和“省代”签约的时候,游戏运营企业为了鼓励销售,一般会对“省代”有“返点”,指的是“省代”在一段时间(月、季、年都有可能)进货达到一定额度的时候,游戏运营企业会给“省代”现金或刮刮卡返点,进货越多返点越高。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 30, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "据我所知,到了“省代”模式后期,“省代”进货后基本是以原进货价铺到销售网点,中间的差价就是销售网点的利润,而“省代”的利润则基本来源于“返点”。", "language": "chinese", "position": {"atoms": [{"position_id": 521, "txt": "据我所知,到了“省代”模式后期,“省代”进货后基本是以原进货价铺到销售网点,中间的差价就是销售网点的利润,而“省代”的利润则基本来源于“返点”。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "这种销售模式会衍生出一个问题——“串货”,也就是A省的省代通过某些方式,将自己进货的点卡在不属于自己销售范围的地方销售,这样就必然影响到其他省代的利益。", "language": "chinese", "position": {"atoms": [{"position_id": 522, "txt": "这种销售模式会衍生出一个问题——“串货”,也就是A省的省代通过某些方式,将自己进货的点卡在不属于自己销售范围的地方销售,这样就必然影响到其他省代的利益。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "老玩家可能还记得,10年之前淘宝上可以买到比较便宜的点卡,很多就是这个原因。", "language": "chinese", "position": {"atoms": [{"position_id": 523, "txt": "老玩家可能还记得,10年之前淘宝上可以买到比较便宜的点卡,很多就是这个原因。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 31, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "销售部门需要对整个销售环节进行执行和管理,从刮刮卡的制作(配合开发部门生成序列号和密码)、入库、出库、物流、收款、返点、“串货”巡查和处理等等一堆繁杂的事项。", "language": "chinese", "position": {"atoms": [{"position_id": 525, "txt": "销售部门需要对整个销售环节进行执行和管理,从刮刮卡的制作(配合开发部门生成序列号和密码)、入库、出库、物流、收款、返点、“串货”巡查和处理等等一堆繁杂的事项。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "而在中国么,很多生意是在酒桌上进行或者润滑的,所以这个部门的同事几乎都有好酒量(这里向一位我尊敬的前辈和大哥“S三斤”致敬)。", "language": "chinese", "position": {"atoms": [{"position_id": 526, "txt": "而在中国么,很多生意是在酒桌上进行或者润滑的,所以这个部门的同事几乎都有好酒量(这里向一位我尊敬的前辈和大哥“S三斤”致敬)。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[7]"}]}, "tags": [], "label": "content", "web_segment_id": 32, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "除此之外,销售部门还有一项特别重要的工作——“压货”。", "language": "chinese", "position": {"atoms": [{"position_id": 528, "txt": "除此之外,销售部门还有一项特别重要的工作——“压货”。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "每个地区,有能力的经销商可能就那么一家,这家经销商可能同时承销若干件游戏运营企业的刮刮卡。", "language": "chinese", "position": {"atoms": [{"position_id": 529, "txt": "每个地区,有能力的经销商可能就那么一家,这家经销商可能同时承销若干件游戏运营企业的刮刮卡。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "但是经销商的资金是有限的,多进了A公司的货,可能B公司的货就没有办法进太多,如果能占用渠道商资金,可能就会对其他游戏企业的点卡销售产生影响,导致玩家买不到。", "language": "chinese", "position": {"atoms": [{"position_id": 530, "txt": "但是经销商的资金是有限的,多进了A公司的货,可能B公司的货就没有办法进太多,如果能占用渠道商资金,可能就会对其他游戏企业的点卡销售产生影响,导致玩家买不到。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "所以“压货”也是游戏在底层销售渠道的一种竞争。", "language": "chinese", "position": {"atoms": [{"position_id": 531, "txt": "所以“压货”也是游戏在底层销售渠道的一种竞争。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[3]/p[8]"}]}, "tags": [], "label": "content", "web_segment_id": 33, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "市场部门,最花钱的部门:", "language": "chinese", "position": {"atoms": [{"position_id": 533, "txt": "市场部门,最花钱的部门:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[18]"}]}, "tags": [], "label": "content", "web_segment_id": 34, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "这个部门的工作,一句话总结:", "language": "chinese", "position": {"atoms": [{"position_id": 535, "txt": "这个部门的工作,一句话总结:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[4]/p"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "“把用户吸引进来。”", "language": "chinese", "position": {"atoms": [{"position_id": 536, "txt": "“把用户吸引进来。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[4]/p"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "在早期,工作相对简单,我后面在游戏的运营过程中会详细解释。", "language": "chinese", "position": {"atoms": [{"position_id": 537, "txt": "在早期,工作相对简单,我后面在游戏的运营过程中会详细解释。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[4]/p"}]}, "tags": [], "label": "content", "web_segment_id": 35, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "客服部门,人最多的部门:", "language": "chinese", "position": {"atoms": [{"position_id": 539, "txt": "客服部门,人最多的部门:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[19]"}]}, "tags": [], "label": "content", "web_segment_id": 36, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "这个部门工作也很简单,解决玩家遇到的各种问题。", "language": "chinese", "position": {"atoms": [{"position_id": 541, "txt": "这个部门工作也很简单,解决玩家遇到的各种问题。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[5]/p"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "由于三班倒的工作方式,所以这个部门的人员可能是整个公司中最多的。", "language": "chinese", "position": {"atoms": [{"position_id": 542, "txt": "由于三班倒的工作方式,所以这个部门的人员可能是整个公司中最多的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[5]/p"}]}, "tags": [], "label": "content", "web_segment_id": 37, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "早期的时候,一个游戏运营公司有这么几个部门,其他的例如QA、美术等岗位,一般包含在某个部门中。", "language": "chinese", "position": {"atoms": [{"position_id": 544, "txt": "早期的时候,一个游戏运营公司有这么几个部门,其他的例如QA、美术等岗位,一般包含在某个部门中。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 38, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "一个中小规模的企业,大概有个40来人就能支撑若干款游戏的运营工作了。", "language": "chinese", "position": {"atoms": [{"position_id": 545, "txt": "一个中小规模的企业,大概有个40来人就能支撑若干款游戏的运营工作了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[20]"}]}, "tags": [], "label": "content", "web_segment_id": 38, "global_sentence_id": 85, "edu_l1_label": "IOS"}, {"txt": "02 早期游戏运营内幕", "language": "chinese", "position": {"atoms": [{"position_id": 547, "txt": "02 早期游戏运营内幕", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/h2[2]/strong"}]}, "tags": ["h2", "strong"], "label": "title1", "web_segment_id": 39, "global_sentence_id": 86, "edu_l1_label": "BOS"}, {"txt": "从玩家角度来说,早期游戏的运营工作可以归纳为以下几个步骤:", "language": "chinese", "position": {"atoms": [{"position_id": 549, "txt": "从玩家角度来说,早期游戏的运营工作可以归纳为以下几个步骤:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "知道游戏→想玩游戏→能玩游戏→花钱玩游戏→长时间花钱玩游戏。", "language": "chinese", "position": {"atoms": [{"position_id": 550, "txt": "知道游戏→想玩游戏→能玩游戏→花钱玩游戏→长时间花钱玩游戏。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "在游戏行业初期,进行步骤1和步骤2相对来说手段是比较单一的:", "language": "chinese", "position": {"atoms": [{"position_id": 551, "txt": "在游戏行业初期,进行步骤1和步骤2相对来说手段是比较单一的:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "广告、软文、事件营销、地面推广。", "language": "chinese", "position": {"atoms": [{"position_id": 552, "txt": "广告、软文、事件营销、地面推广。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[21]"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "首先说广告,在我刚入行的时代,和游戏相关的媒体分为网媒和平媒。", "language": "chinese", "position": {"atoms": [{"position_id": 554, "txt": "首先说广告,在我刚入行的时代,和游戏相关的媒体分为网媒和平媒。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "其中网媒最大的三家,是17173、天使在线、新浪游戏;", "language": "chinese", "position": {"atoms": [{"position_id": 555, "txt": "其中网媒最大的三家,是17173、天使在线、新浪游戏;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[22]"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "平媒的话比较有名的是电脑报、电脑游戏攻略、大众软件、电脑商情报等等。", "language": "chinese", "position": {"atoms": [{"position_id": 556, "txt": "平媒的话比较有名的是电脑报、电脑游戏攻略、大众软件、电脑商情报等等。", "x": 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"事件营销就是炒作和游戏相关的事件或者概念,引发潜在用户的关注。", "language": "chinese", "position": {"atoms": [{"position_id": 561, "txt": "事件营销就是炒作和游戏相关的事件或者概念,引发潜在用户的关注。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "比较有代表性的一个案例:", "language": "chinese", "position": {"atoms": [{"position_id": 562, "txt": "比较有代表性的一个案例:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[24]"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "《A3》,当时炒作“成人游戏”概念,炒的很红,引发了关注,也导致版号审了非常久……", "language": "chinese", "position": {"atoms": [{"position_id": 563, "txt": "《A3》,当时炒作“成人游戏”概念,炒的很红,引发了关注,也导致版号审了非常久……", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[24]"}]}, "tags": [], 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[{"position_id": 568, "txt": "首先需要做一个游戏官网,官网上肯定要放上客户端的下载。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "同时在网络媒体上也要开出游戏的专区,并分流下载。", "language": "chinese", "position": {"atoms": [{"position_id": 569, "txt": "同时在网络媒体上也要开出游戏的专区,并分流下载。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "在CDN还不成熟的年代,提供客户端的高速下载也是不低的成本。", "language": "chinese", "position": {"atoms": [{"position_id": 570, "txt": "在CDN还不成熟的年代,提供客户端的高速下载也是不低的成本。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "某些产品还会和平媒合作,将客户端放置在平媒销售时附带的光盘上。", "language": "chinese", "position": {"atoms": [{"position_id": 571, "txt": "某些产品还会和平媒合作,将客户端放置在平媒销售时附带的光盘上。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "所以那个年代,客户端的大小也是很敏感的。", "language": "chinese", "position": {"atoms": [{"position_id": 572, "txt": "所以那个年代,客户端的大小也是很敏感的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[26]"}]}, "tags": [], "label": "content", "web_segment_id": 45, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "用户搞定了客户端,然后游戏企业也架设好了服务器,游戏就处于“可玩”的状态了。", "language": "chinese", "position": {"atoms": [{"position_id": 574, "txt": "用户搞定了客户端,然后游戏企业也架设好了服务器,游戏就处于“可玩”的状态了。", "x": 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"global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2VGQgZ9AwOz1twkWjgZBzC.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 313, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2VGQgZ9AwOz1twkWjgZBzC.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[28]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 47, "global_sentence_id": 109, "edu_l1_label": "EDU_O"}, {"txt": "“坦克世界”公测搞出了“百万拖拉机”事件 网络", "language": "chinese", "position": {"atoms": [{"position_id": 578, "txt": "“坦克世界”公测搞出了“百万拖拉机”事件 网络", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[29]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 48, "global_sentence_id": 110, "edu_l1_label": "EDU_O"}, {"txt": "通过内测,游戏企业确认了各项准备工作都已到位,游戏的品质玩家也能接受,那么就选择良辰吉日开启“公测”。", "language": "chinese", "position": {"atoms": [{"position_id": 580, "txt": "通过内测,游戏企业确认了各项准备工作都已到位,游戏的品质玩家也能接受,那么就选择良辰吉日开启“公测”。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[30]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "在“公测”阶段,游戏依然处于免费的状态,但用户已经可以随意注册账号并登录游戏了。", "language": "chinese", "position": {"atoms": [{"position_id": 581, "txt": "在“公测”阶段,游戏依然处于免费的状态,但用户已经可以随意注册账号并登录游戏了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[30]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": "而“公测”的前后,也是广告、软文等等轰炸规模最大的时间段,务必烧钱让更多的玩家进入到游戏内。", "language": "chinese", "position": {"atoms": [{"position_id": 582, "txt": "而“公测”的前后,也是广告、软文等等轰炸规模最大的时间段,务必烧钱让更多的玩家进入到游戏内。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[30]"}]}, "tags": [], "label": "content", "web_segment_id": 49, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "在“公测”一段时间后(一般不会超过1个月),游戏开始正式进入商业化阶段,这个时候玩家就需要购买点卡来获取游戏时间了,当然新进的玩家依然可以获得一段时间的免费游戏。", "language": "chinese", "position": {"atoms": [{"position_id": 584, "txt": "在“公测”一段时间后(一般不会超过1个月),游戏开始正式进入商业化阶段,这个时候玩家就需要购买点卡来获取游戏时间了,当然新进的玩家依然可以获得一段时间的免费游戏。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[31]"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "游戏企业也开始了收钱阶段。", "language": "chinese", "position": {"atoms": [{"position_id": 585, "txt": "游戏企业也开始了收钱阶段。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[31]"}]}, "tags": [], "label": "content", "web_segment_id": 50, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "而游戏可玩内容越多,玩家付费的时间越长,单个用户的贡献度也就越大。", "language": "chinese", "position": {"atoms": [{"position_id": 587, "txt": "而游戏可玩内容越多,玩家付费的时间越长,单个用户的贡献度也就越大。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "在这样逻辑下,游戏必须包含让玩家长时间游玩的内容。", "language": "chinese", "position": {"atoms": [{"position_id": 588, "txt": "在这样逻辑下,游戏必须包含让玩家长时间游玩的内容。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[32]"}]}, "tags": [], "label": "content", "web_segment_id": 51, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "03 游戏公司赚钱吗?", "language": "chinese", "position": {"atoms": [{"position_id": 590, "txt": "03 游戏公司赚钱吗?", "x": 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{"atoms": [{"position_id": 595, "txt": "版权金、分成", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[6]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 54, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "2. 市场成本:", "language": "chinese", "position": {"atoms": [{"position_id": 597, "txt": "2. 市场成本:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[6]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "广告费、软文(找人写软文需要付稿费、找媒体刊载软文也有一定费用)、地推执行费用、代言人费用等等", "language": "chinese", "position": {"atoms": [{"position_id": 598, "txt": "广告费、软文(找人写软文需要付稿费、找媒体刊载软文也有一定费用)、地推执行费用、代言人费用等等", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[6]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 55, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "3. 技术成本:", "language": "chinese", "position": {"atoms": [{"position_id": 600, "txt": "3. 技术成本:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[6]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "服务器购买或租赁费用、机房费用、带宽成本", "language": "chinese", "position": {"atoms": [{"position_id": 601, "txt": "服务器购买或租赁费用、机房费用、带宽成本", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[6]/p[3]"}]}, "tags": [], "label": "content", "web_segment_id": 56, "global_sentence_id": 125, "edu_l1_label": "IOS"}, {"txt": "4. 渠道成本:", "language": "chinese", "position": {"atoms": [{"position_id": 603, "txt": "4. 渠道成本:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[6]/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 126, "edu_l1_label": "IOS"}, {"txt": "制卡费用、物流成本", "language": "chinese", "position": {"atoms": [{"position_id": 604, "txt": "制卡费用、物流成本", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[6]/p[4]"}]}, "tags": [], "label": "content", "web_segment_id": 57, "global_sentence_id": 127, "edu_l1_label": "IOS"}, {"txt": "5. 人力行政成本:", "language": "chinese", "position": {"atoms": [{"position_id": 606, "txt": "5. 人力行政成本:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[6]/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "这个最简单,员工要发工资,上班要有办公室,要房租要用水用电用电脑用家具等等", "language": "chinese", "position": {"atoms": [{"position_id": 607, "txt": "这个最简单,员工要发工资,上班要有办公室,要房租要用水用电用电脑用家具等等", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[6]/p[5]"}]}, "tags": [], "label": "content", "web_segment_id": 58, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "6. 其他杂项成本", "language": "chinese", "position": {"atoms": [{"position_id": 609, "txt": "6. 其他杂项成本", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[6]/p[6]"}]}, "tags": [], "label": "content", "web_segment_id": 59, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "说完支出再来说营收。", "language": "chinese", "position": {"atoms": [{"position_id": 611, "txt": "说完支出再来说营收。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "营收的来源唯一,就是玩家购买点卡的钱。", "language": "chinese", "position": {"atoms": [{"position_id": 612, "txt": "营收的来源唯一,就是玩家购买点卡的钱。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[34]"}]}, "tags": [], "label": "content", "web_segment_id": 60, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "按照当时市场的一般估算,一个游戏最高同时在线1万人的情况下,活跃付费(这个时代,付费率还是可以看成100%)的人数可能在5万左右。", "language": "chinese", "position": {"atoms": [{"position_id": 614, "txt": "按照当时市场的一般估算,一个游戏最高同时在线1万人的情况下,活跃付费(这个时代,付费率还是可以看成100%)的人数可能在5万左右。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "按照每人每月30元包月来计算,游戏的流水为150万/月。", "language": "chinese", "position": {"atoms": [{"position_id": 615, "txt": "按照每人每月30元包月来计算,游戏的流水为150万/月。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[35]"}]}, "tags": [], "label": "content", "web_segment_id": 61, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": "为方便计算,假设点卡出货价为八折,游戏公司每月实际收款为150*0.8=120万,假设研发公司的分成比例为20%,则研发公司每月分成金为150*0.2=30万;", "language": "chinese", "position": {"atoms": [{"position_id": 617, "txt": "为方便计算,假设点卡出货价为八折,游戏公司每月实际收款为150*0.8=120万,假设研发公司的分成比例为20%,则研发公司每月分成金为150*0.2=30万;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": "技术成本一般不会超过流水的5%(服务器采购虽然是一次性支出,但计算的时候按固定资产折旧来算),每个月5万应该够了;", "language": "chinese", "position": {"atoms": [{"position_id": 618, "txt": "技术成本一般不会超过流水的5%(服务器采购虽然是一次性支出,但计算的时候按固定资产折旧来算),每个月5万应该够了;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "人力行政成本,按照平均月薪5000来计算(我在第一家公司三年,月薪从2000升到4500),40*5000*1.5=30万;", "language": "chinese", "position": {"atoms": [{"position_id": 619, "txt": "人力行政成本,按照平均月薪5000来计算(我在第一家公司三年,月薪从2000升到4500),40*5000*1.5=30万;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "市场成本比较难计算,因为不是平均支出的,在游戏公测前后会比较多,游戏商业化运营期会减少很多。", "language": "chinese", "position": {"atoms": [{"position_id": 620, "txt": "市场成本比较难计算,因为不是平均支出的,在游戏公测前后会比较多,游戏商业化运营期会减少很多。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "一般来说,我们会控制在流水的20%-30%,先按20%来计算,150*0.2=30万。", "language": "chinese", "position": {"atoms": [{"position_id": 621, "txt": "一般来说,我们会控制在流水的20%-30%,先按20%来计算,150*0.2=30万。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[36]"}]}, "tags": [], "label": "content", "web_segment_id": 62, "global_sentence_id": 139, "edu_l1_label": "IOS"}, {"txt": "那么毛利润大概有多少呢?", "language": "chinese", "position": {"atoms": [{"position_id": 623, "txt": "那么毛利润大概有多少呢?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 140, "edu_l1_label": "IOS"}, {"txt": "120-30-5-30-30=25万,毛利润率为25/150=13.3%。", "language": "chinese", "position": {"atoms": [{"position_id": 624, "txt": "120-30-5-30-30=25万,毛利润率为25/150=13.3%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[37]"}]}, "tags": [], "label": "content", "web_segment_id": 63, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "按照这个结果,这个项目基本上处于失败的边缘了,因为这里还没有计算版权金的支出和其他的一些杂项成本。", "language": "chinese", "position": {"atoms": [{"position_id": 626, "txt": "按照这个结果,这个项目基本上处于失败的边缘了,因为这里还没有计算版权金的支出和其他的一些杂项成本。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[38]"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "一般来说,在游戏行业的初期阶段,运营比较好的项目毛利润率可以达到30%上下。", "language": "chinese", "position": {"atoms": [{"position_id": 627, "txt": "一般来说,在游戏行业的初期阶段,运营比较好的项目毛利润率可以达到30%上下。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[38]"}]}, "tags": [], "label": "content", "web_segment_id": 64, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "看到这里,大家是不是觉得游戏行业没有想象的那么赚钱?", "language": "chinese", "position": {"atoms": [{"position_id": 629, "txt": "看到这里,大家是不是觉得游戏行业没有想象的那么赚钱?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "其实上述的计算过程隐藏了一个重要概念:", "language": "chinese", "position": {"atoms": [{"position_id": 630, "txt": "其实上述的计算过程隐藏了一个重要概念:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "一个游戏的流水和支出,并不是像生产制造行业那样处于一个正比例线性增长的关系。", "language": "chinese", "position": {"atoms": [{"position_id": 631, "txt": "一个游戏的流水和支出,并不是像生产制造行业那样处于一个正比例线性增长的关系。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "换句话说就是“游戏产品的生产成本,在某种概念上是可以忽略的。”", "language": "chinese", "position": {"atoms": [{"position_id": 632, "txt": "换句话说就是“游戏产品的生产成本,在某种概念上是可以忽略的。”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[39]"}]}, "tags": [], "label": "content", "web_segment_id": 65, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4JMrp1m4Ppy3PFd3G3VVhmN.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 335, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/4JMrp1m4Ppy3PFd3G3VVhmN.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[40]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 66, "global_sentence_id": 148, "edu_l1_label": "EDU_O"}, {"txt": "类“传奇”网游经久不衰 网络", "language": "chinese", "position": {"atoms": [{"position_id": 634, "txt": "类“传奇”网游经久不衰 网络", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[41]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 67, "global_sentence_id": 149, "edu_l1_label": "EDU_O"}, {"txt": "从上面的成本计算中,我们可以看到,真正和游戏产品的“生产”过程相关的,是版权金、分成、技术成本(游戏用户规模大,服务器更多,各项成本也增加),而人员成本则是一个相对规定的值。", "language": "chinese", "position": {"atoms": [{"position_id": 636, "txt": "从上面的成本计算中,我们可以看到,真正和游戏产品的“生产”过程相关的,是版权金、分成、技术成本(游戏用户规模大,服务器更多,各项成本也增加),而人员成本则是一个相对规定的值。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[42]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "我们还是按照上述计算方式,计算当游戏最高在线是2万人时的情况:", "language": "chinese", "position": {"atoms": [{"position_id": 637, "txt": "我们还是按照上述计算方式,计算当游戏最高在线是2万人时的情况:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[42]"}]}, "tags": [], "label": "content", "web_segment_id": 68, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "最高在线2万人,活跃付费人数10万,每月流水300万;", "language": "chinese", "position": {"atoms": [{"position_id": 639, "txt": "最高在线2万人,活跃付费人数10万,每月流水300万;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "游戏公司实收300*0.8=240万;", "language": "chinese", "position": {"atoms": [{"position_id": 640, "txt": "游戏公司实收300*0.8=240万;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "游戏开发企业分成300*0.2=60万;", "language": "chinese", "position": {"atoms": [{"position_id": 641, "txt": "游戏开发企业分成300*0.2=60万;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "技术成本按翻倍计算为10万;", "language": "chinese", "position": {"atoms": [{"position_id": 642, "txt": "技术成本按翻倍计算为10万;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "人力成本不变,30万;", "language": "chinese", "position": {"atoms": [{"position_id": 643, "txt": "人力成本不变,30万;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "市场成本计算按20%计算,300*0.2=60万;", "language": "chinese", "position": {"atoms": [{"position_id": 644, "txt": "市场成本计算按20%计算,300*0.2=60万;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "毛利润为240-60-10-30-60=80万,毛利润率为80/300=26.7%。", "language": "chinese", "position": {"atoms": [{"position_id": 645, "txt": "毛利润为240-60-10-30-60=80万,毛利润率为80/300=26.7%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[43]"}]}, "tags": [], "label": "content", "web_segment_id": 69, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "以此类推,最高同时在线3万人,毛利润就有135万,毛利润率30%。", "language": "chinese", "position": {"atoms": [{"position_id": 647, "txt": "以此类推,最高同时在线3万人,毛利润就有135万,毛利润率30%。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[44]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "随着毛利润的提高,毛利润率还能继续提高,是不是就很不错了?", "language": "chinese", "position": {"atoms": [{"position_id": 648, "txt": "随着毛利润的提高,毛利润率还能继续提高,是不是就很不错了?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[44]"}]}, "tags": [], "label": "content", "web_segment_id": 70, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "说白了,游戏运营企业的人力成本,与游戏产品的收入没有正比例关系。", "language": "chinese", "position": {"atoms": [{"position_id": 650, "txt": "说白了,游戏运营企业的人力成本,与游戏产品的收入没有正比例关系。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[45]"}]}, "tags": [], "label": "content", "web_segment_id": 71, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "那么,游戏企业要赚钱,取决于什么?", "language": "chinese", "position": {"atoms": [{"position_id": 652, "txt": "那么,游戏企业要赚钱,取决于什么?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[46]"}]}, "tags": [], "label": "content", "web_segment_id": 72, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "1.游戏产品质量好,这样玩家愿意花钱玩的比例就更高;", "language": "chinese", "position": {"atoms": [{"position_id": 654, "txt": "1.游戏产品质量好,这样玩家愿意花钱玩的比例就更高;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[7]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "玩家间人传人的比例也就更高。", "language": "chinese", "position": {"atoms": [{"position_id": 655, "txt": "玩家间人传人的比例也就更高。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[7]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 73, "global_sentence_id": 164, "edu_l1_label": "IOS"}, {"txt": "2.市场做得好,能用更低的价格获取到用户。", "language": 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"到了2003、2004年,免费游戏的风潮吹起来了。", "language": "chinese", "position": {"atoms": [{"position_id": 666, "txt": "到了2003、2004年,免费游戏的风潮吹起来了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[49]"}]}, "tags": [], "label": "content", "web_segment_id": 78, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "免费游戏从商业逻辑上来说是比较容易理解的:", "language": "chinese", "position": {"atoms": [{"position_id": 668, "txt": "免费游戏从商业逻辑上来说是比较容易理解的:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[50]"}]}, "tags": [], "label": "content", "web_segment_id": 79, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "按照时长收费游戏,通常在开始收费后,同时在线人数会跌一半左右。", "language": "chinese", "position": {"atoms": [{"position_id": 669, "txt": "按照时长收费游戏,通常在开始收费后,同时在线人数会跌一半左右。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[50]"}]}, "tags": [], "label": 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"x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[50]"}]}, "tags": [], "label": "content", "web_segment_id": 79, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": "免费游戏道具收费模式最大的问题就是“卖什么?”", "language": "chinese", "position": {"atoms": [{"position_id": 674, "txt": "免费游戏道具收费模式最大的问题就是“卖什么?”", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[51]"}]}, "tags": [], "label": "content", "web_segment_id": 80, "global_sentence_id": 176, "edu_l1_label": "IOS"}, {"txt": "大家可能看过很多文章,讲述一把“屠龙”、“裁决”多少钱,多少玩家在线下交易,并产生各种斗殴等事件;", "language": "chinese", "position": {"atoms": [{"position_id": 675, "txt": "大家可能看过很多文章,讲述一把“屠龙”、“裁决”多少钱,多少玩家在线下交易,并产生各种斗殴等事件;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[51]"}]}, "tags": [], "label": "content", "web_segment_id": 80, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": "前文中致敬过的“S三斤”大哥,曾垄断过《RO》若干个服务器的帽子生意,获利颇丰;", "language": "chinese", "position": {"atoms": [{"position_id": 676, "txt": "前文中致敬过的“S三斤”大哥,曾垄断过《RO》若干个服务器的帽子生意,获利颇丰;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[51]"}]}, "tags": [], "label": "content", "web_segment_id": 80, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": "还有《魔兽世界》中的打金工作室等等。", "language": "chinese", "position": {"atoms": [{"position_id": 677, "txt": "还有《魔兽世界》中的打金工作室等等。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[51]"}]}, "tags": [], "label": "content", "web_segment_id": 80, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "这些都说明游戏的道具或者货币具备一定的价值和市场。", "language": "chinese", "position": {"atoms": [{"position_id": 678, "txt": "这些都说明游戏的道具或者货币具备一定的价值和市场。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[51]"}]}, "tags": [], "label": "content", "web_segment_id": 80, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "但是到底卖什么,却成为了游戏开发和运营人员头疼的问题。", "language": "chinese", "position": {"atoms": [{"position_id": 680, "txt": "但是到底卖什么,却成为了游戏开发和运营人员头疼的问题。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[52]"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "那时候,这个行业的从业人员,我觉得还是比较单纯的,更多是以“游戏”而非“产品”的角度在思考这个问题,所以在进行收费商品规划时,还是比较看重公平性,不过分破坏游戏平衡。", "language": "chinese", "position": {"atoms": [{"position_id": 681, "txt": "那时候,这个行业的从业人员,我觉得还是比较单纯的,更多是以“游戏”而非“产品”的角度在思考这个问题,所以在进行收费商品规划时,还是比较看重公平性,不过分破坏游戏平衡。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[52]"}]}, "tags": [], "label": "content", "web_segment_id": 81, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2z7DPT2RVDik42wRWG3lzrtg.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 354, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2z7DPT2RVDik42wRWG3lzrtg.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[53]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 82, "global_sentence_id": 183, "edu_l1_label": "EDU_O"}, {"txt": "魔兽世界 网络图", "language": "chinese", "position": {"atoms": [{"position_id": 683, "txt": "魔兽世界 网络图", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[54]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 83, "global_sentence_id": 184, "edu_l1_label": "EDU_O"}, {"txt": "以笔者的个人经历来举例,那段时间我在负责运营一款比较成功的休闲游戏项目。", "language": "chinese", "position": {"atoms": [{"position_id": 685, "txt": "以笔者的个人经历来举例,那段时间我在负责运营一款比较成功的休闲游戏项目。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[55]"}]}, "tags": [], "label": "content", "web_segment_id": 84, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "我们在设计收费商品的时候,一般会推出同类型同档次的免费商品,即使一个玩家选择不花一分钱,他在游戏的竞技环境内,还是可以与其他付费玩家保持最基本的平衡。", "language": "chinese", "position": {"atoms": [{"position_id": 686, "txt": "我们在设计收费商品的时候,一般会推出同类型同档次的免费商品,即使一个玩家选择不花一分钱,他在游戏的竞技环境内,还是可以与其他付费玩家保持最基本的平衡。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[55]"}]}, "tags": [], "label": "content", "web_segment_id": 84, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "在这样的运营思路下,这款游戏每月的用户付费率(本月有过付费行为的玩家/本月有过登录行为的玩家)不超过5%,同时平均每个付费用户的单月付费额在40元上下。", "language": "chinese", "position": {"atoms": [{"position_id": 688, "txt": "在这样的运营思路下,这款游戏每月的用户付费率(本月有过付费行为的玩家/本月有过登录行为的玩家)不超过5%,同时平均每个付费用户的单月付费额在40元上下。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[56]"}]}, "tags": [], "label": "content", "web_segment_id": 85, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": "换算下来,也就是平均一个用户每个月贡献了2元钱。", "language": "chinese", "position": {"atoms": [{"position_id": 689, "txt": "换算下来,也就是平均一个用户每个月贡献了2元钱。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[56]"}]}, "tags": [], "label": "content", "web_segment_id": 85, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": "虽然单用户的贡献并不高,但是因为这个游戏本身品质很好,导致用户的留存非常高(新用户进到游戏一周后,流失率不超过50%),所以用户规模累积的非常迅速,从而造成了整个项目在商业上是比较成功的。", "language": "chinese", "position": {"atoms": [{"position_id": 691, "txt": "虽然单用户的贡献并不高,但是因为这个游戏本身品质很好,导致用户的留存非常高(新用户进到游戏一周后,流失率不超过50%),所以用户规模累积的非常迅速,从而造成了整个项目在商业上是比较成功的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[57]"}]}, "tags": [], "label": "content", "web_segment_id": 86, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "再来说下大家“深恶痛绝”的“开宝箱”。", "language": "chinese", "position": {"atoms": [{"position_id": 693, "txt": "再来说下大家“深恶痛绝”的“开宝箱”。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[58]"}]}, "tags": [], "label": "content", "web_segment_id": 87, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": "从个人情感上来讲,我是非常反感这种商业模式的。", "language": "chinese", "position": {"atoms": [{"position_id": 694, "txt": "从个人情感上来讲,我是非常反感这种商业模式的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[58]"}]}, "tags": [], "label": "content", "web_segment_id": 87, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "因为在我看来,“宝箱”本质上还是一种赌博,而玩家在进行这种形式的消费时是非理性的。", "language": "chinese", "position": {"atoms": [{"position_id": 695, "txt": "因为在我看来,“宝箱”本质上还是一种赌博,而玩家在进行这种形式的消费时是非理性的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[58]"}]}, "tags": [], "label": "content", "web_segment_id": 87, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "为了规避国家法律法规的限制,我们通常会设计一些“垃圾”的收费商品,虽然这些商品可能并不会有用户进行购买。", "language": "chinese", "position": {"atoms": [{"position_id": 697, "txt": "为了规避国家法律法规的限制,我们通常会设计一些“垃圾”的收费商品,虽然这些商品可能并不会有用户进行购买。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[59]"}]}, "tags": [], "label": "content", "web_segment_id": 88, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": "然后将这些“垃圾”商品和真正有价值的商品打包在宝箱中,这样玩家即使开到他不想要的“垃圾”,在表面上这些“垃圾”的价值还是高于“宝箱”的价格。", "language": "chinese", "position": {"atoms": [{"position_id": 698, "txt": "然后将这些“垃圾”商品和真正有价值的商品打包在宝箱中,这样玩家即使开到他不想要的“垃圾”,在表面上这些“垃圾”的价值还是高于“宝箱”的价格。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[59]"}]}, "tags": [], "label": "content", "web_segment_id": 88, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "详细解释下:", "language": "chinese", "position": {"atoms": [{"position_id": 700, "txt": "详细解释下:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[60]"}]}, "tags": [], "label": "content", "web_segment_id": 89, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "一个宝箱的价格为2元,宝箱内最有价值的商品A在游戏内直接销售的价格为40元,而其他开宝箱获得的“垃圾”在游戏内直接销售的价格最低也超过2元。", "language": "chinese", "position": {"atoms": [{"position_id": 702, "txt": "一个宝箱的价格为2元,宝箱内最有价值的商品A在游戏内直接销售的价格为40元,而其他开宝箱获得的“垃圾”在游戏内直接销售的价格最低也超过2元。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[8]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 196, "edu_l1_label": "IOS"}, {"txt": "这种方式我可以姑且理解为“促销”。", "language": "chinese", "position": {"atoms": [{"position_id": 703, "txt": "这种方式我可以姑且理解为“促销”。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[8]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 197, "edu_l1_label": "IOS"}, {"txt": "在宝箱的销售获得成功后,我和游戏开发方的负责人一起联合抵制了老板把“宝箱”销售长期化的想法,因为老板当时想把所有有价值的商品仅以宝箱形式售卖。", "language": "chinese", "position": {"atoms": [{"position_id": 704, "txt": "在宝箱的销售获得成功后,我和游戏开发方的负责人一起联合抵制了老板把“宝箱”销售长期化的想法,因为老板当时想把所有有价值的商品仅以宝箱形式售卖。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[8]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 90, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": "按照老板的这种想法,某种意义上宝箱的本质就从“促销”变成了“搭售”。", "language": "chinese", "position": {"atoms": [{"position_id": 706, "txt": "按照老板的这种想法,某种意义上宝箱的本质就从“促销”变成了“搭售”。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[8]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 91, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": "表面上看,两种方式似乎没有区别,都是用户为了买到自己想要的商品,被迫买了一堆自己并不需要的“垃圾”。", "language": "chinese", "position": {"atoms": [{"position_id": 707, "txt": "表面上看,两种方式似乎没有区别,都是用户为了买到自己想要的商品,被迫买了一堆自己并不需要的“垃圾”。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[8]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 91, "global_sentence_id": 200, "edu_l1_label": "IOS"}, {"txt": "但实际上,后面这种方式把用户获得有价值商品的途径单一化了。", "language": "chinese", "position": {"atoms": [{"position_id": 708, "txt": "但实际上,后面这种方式把用户获得有价值商品的途径单一化了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[8]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 91, "global_sentence_id": 201, "edu_l1_label": "IOS"}, {"txt": "这就像某些奢侈品牌喜欢搞的那样:", "language": "chinese", "position": {"atoms": [{"position_id": 710, "txt": "这就像某些奢侈品牌喜欢搞的那样:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[61]"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 202, "edu_l1_label": "IOS"}, {"txt": "某新款包包官方售价2万元,但是您必须先消费30万元购买其他商品,才有资格来购买这款包包。", "language": "chinese", "position": {"atoms": [{"position_id": 711, "txt": "某新款包包官方售价2万元,但是您必须先消费30万元购买其他商品,才有资格来购买这款包包。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[61]"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": "想直接买?", "language": "chinese", "position": {"atoms": [{"position_id": 712, "txt": "想直接买?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[61]"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "没门。", "language": "chinese", "position": {"atoms": [{"position_id": 713, "txt": "没门。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[61]"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "这种方式下,其实这款包包的真实价格已经被搞到了32万。", "language": "chinese", "position": {"atoms": [{"position_id": 714, "txt": "这种方式下,其实这款包包的真实价格已经被搞到了32万。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[61]"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "所以某些奢侈品牌热门商品的二手价格高于官方售价,就是这种销售行为导致的。", "language": "chinese", "position": {"atoms": [{"position_id": 715, "txt": "所以某些奢侈品牌热门商品的二手价格高于官方售价,就是这种销售行为导致的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[61]"}]}, "tags": [], "label": "content", "web_segment_id": 92, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "在这种消费模式下,用户获得商品所付出的成本,大大超出了商品的实际价值。", "language": "chinese", "position": {"atoms": [{"position_id": 717, "txt": "在这种消费模式下,用户获得商品所付出的成本,大大超出了商品的实际价值。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[62]"}]}, "tags": [], "label": "content", "web_segment_id": 93, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "但是在维持游戏基本平衡的原则下,我们又不能将“商品”的价值做到匹配它的获取成本。", "language": "chinese", "position": {"atoms": [{"position_id": 718, "txt": "但是在维持游戏基本平衡的原则下,我们又不能将“商品”的价值做到匹配它的获取成本。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[62]"}]}, "tags": [], "label": "content", "web_segment_id": 93, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": "这种矛盾性使得我们最终没有采用这种销售模式。", "language": "chinese", "position": {"atoms": [{"position_id": 719, "txt": "这种矛盾性使得我们最终没有采用这种销售模式。", "x": 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"global_sentence_id": 212, "edu_l1_label": "IOS"}, {"txt": "在我个人看来,2006年出现的某款游戏彻底打开了这个“潘多拉魔盒”。", "language": "chinese", "position": {"atoms": [{"position_id": 723, "txt": "在我个人看来,2006年出现的某款游戏彻底打开了这个“潘多拉魔盒”。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[63]"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 213, "edu_l1_label": "IOS"}, {"txt": "我不想提这款游戏的名字,我也不想指责谁。", "language": "chinese", "position": {"atoms": [{"position_id": 724, "txt": "我不想提这款游戏的名字,我也不想指责谁。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[63]"}]}, "tags": [], "label": "content", "web_segment_id": 94, "global_sentence_id": 214, "edu_l1_label": "IOS"}, {"txt": "因为我知道即使没有这款游戏,“潘多拉魔盒”迟早也会被其他游戏打开。", "language": "chinese", "position": {"atoms": [{"position_id": 725, "txt": "因为我知道即使没有这款游戏,“潘多拉魔盒”迟早也会被其他游戏打开。", "x": 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"language": "chinese", "position": {"atoms": [{"position_id": 760, "txt": "1.降低用户的获取成本", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[72]/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 104, "global_sentence_id": 240, "edu_l1_label": "IOS"}, {"txt": "比如:", "language": "chinese", "position": {"atoms": [{"position_id": 762, "txt": "比如:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[73]"}]}, "tags": [], "label": "content", "web_segment_id": 105, "global_sentence_id": 241, "edu_l1_label": "IOS"}, {"txt": "这个游戏是玄幻题材,所以我是否应该将广告费用在玄幻小说网站上,并且在广告展现上体现出玄幻元素,从而实现用户喜好上的匹配,这样用户点击广告的概率与就提升了。", "language": "chinese", "position": {"atoms": [{"position_id": 763, "txt": "这个游戏是玄幻题材,所以我是否应该将广告费用在玄幻小说网站上,并且在广告展现上体现出玄幻元素,从而实现用户喜好上的匹配,这样用户点击广告的概率与就提升了。", "x": 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"再再比如:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[74]"}]}, "tags": [], "label": "content", "web_segment_id": 106, "global_sentence_id": 245, "edu_l1_label": "IOS"}, {"txt": "我把广告设置为无法直接关闭,逼着用户点广告。", "language": "chinese", "position": {"atoms": [{"position_id": 768, "txt": "我把广告设置为无法直接关闭,逼着用户点广告。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[74]"}]}, "tags": [], "label": "content", "web_segment_id": 106, "global_sentence_id": 246, "edu_l1_label": "IOS"}, {"txt": "再再再比如:", "language": "chinese", "position": {"atoms": [{"position_id": 769, "txt": "再再再比如:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[74]"}]}, "tags": [], "label": "content", "web_segment_id": 106, "global_sentence_id": 247, "edu_l1_label": "IOS"}, {"txt": "我给网站做一个透明浮层,用户任意点击就直接进游戏。", "language": "chinese", "position": {"atoms": [{"position_id": 770, "txt": "我给网站做一个透明浮层,用户任意点击就直接进游戏。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[74]"}]}, "tags": [], "label": "content", "web_segment_id": 106, "global_sentence_id": 248, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2VTQWM4etc6j36Lnbp3XN2OT.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 383, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2VTQWM4etc6j36Lnbp3XN2OT.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[75]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 107, "global_sentence_id": 249, "edu_l1_label": "EDU_O"}, {"txt": "网页游戏 网络", "language": "chinese", "position": {"atoms": [{"position_id": 772, "txt": "网页游戏 网络", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[76]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 108, "global_sentence_id": 250, "edu_l1_label": "EDU_O"}, {"txt": "2.能否快速使用户产生付费冲动?", "language": "chinese", "position": {"atoms": [{"position_id": 774, "txt": "2.能否快速使用户产生付费冲动?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[77]/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 109, "global_sentence_id": 251, "edu_l1_label": "IOS"}, {"txt": "比如:", "language": "chinese", "position": {"atoms": [{"position_id": 776, "txt": "比如:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[78]"}]}, "tags": [], "label": "content", "web_segment_id": 110, "global_sentence_id": 252, "edu_l1_label": "IOS"}, {"txt": "在游戏的新手引导中,加入各种付费效果体验,让用户体验到付费优势。", "language": "chinese", "position": {"atoms": [{"position_id": 777, "txt": "在游戏的新手引导中,加入各种付费效果体验,让用户体验到付费优势。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[78]"}]}, "tags": [], "label": "content", "web_segment_id": 110, "global_sentence_id": 253, "edu_l1_label": "IOS"}, {"txt": "再比如:", "language": "chinese", "position": {"atoms": [{"position_id": 778, "txt": "再比如:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[78]"}]}, "tags": [], "label": "content", "web_segment_id": 110, "global_sentence_id": 254, "edu_l1_label": "IOS"}, {"txt": "设计小额付费礼包,里面装一堆超值商品,吸引用户付费破冰。", "language": "chinese", "position": {"atoms": [{"position_id": 779, "txt": "设计小额付费礼包,里面装一堆超值商品,吸引用户付费破冰。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[78]"}]}, "tags": [], "label": "content", "web_segment_id": 110, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": "再再比如:", "language": "chinese", "position": {"atoms": [{"position_id": 780, "txt": "再再比如:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[78]"}]}, "tags": [], "label": "content", "web_segment_id": 110, "global_sentence_id": 256, "edu_l1_label": "IOS"}, {"txt": "各种排行榜,天天开新服,让用户付一点费就能获得更多游戏优势。", "language": "chinese", "position": {"atoms": [{"position_id": 781, "txt": "各种排行榜,天天开新服,让用户付一点费就能获得更多游戏优势。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[78]"}]}, "tags": [], "label": "content", "web_segment_id": 110, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "3.提升游戏品质", "language": "chinese", "position": {"atoms": [{"position_id": 783, "txt": "3.提升游戏品质", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[79]/strong"}]}, "tags": ["strong"], "label": "title2", "web_segment_id": 111, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "比如提升画面质量、开放更多游戏玩法,做一个好的剧情让玩家有更沉浸的体验,从而提升用户的留存率和付费的可能性……", "language": "chinese", "position": {"atoms": [{"position_id": 785, "txt": "比如提升画面质量、开放更多游戏玩法,做一个好的剧情让玩家有更沉浸的体验,从而提升用户的留存率和付费的可能性……", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[80]"}]}, "tags": [], "label": "content", "web_segment_id": 112, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "各位读者,你们认为以上的这些手段,哪些更容易实现?", "language": "chinese", "position": {"atoms": [{"position_id": 787, "txt": "各位读者,你们认为以上的这些手段,哪些更容易实现?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[81]"}]}, "tags": [], "label": "content", "web_segment_id": 113, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "显然提升游戏品质是最慢、成本最高,且不一定能立竿见影的做法了。", "language": "chinese", "position": {"atoms": [{"position_id": 788, "txt": "显然提升游戏品质是最慢、成本最高,且不一定能立竿见影的做法了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[81]"}]}, "tags": [], "label": "content", "web_segment_id": 113, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": "06 “应用市场”的时代", "language": "chinese", "position": {"atoms": [{"position_id": 790, "txt": "06 “应用市场”的时代", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/h2[6]/strong"}]}, "tags": ["h2", "strong"], "label": "title1", "web_segment_id": 114, "global_sentence_id": 262, "edu_l1_label": "BOS"}, {"txt": "时间进入2010时代,手游开始兴起了。", "language": "chinese", "position": {"atoms": [{"position_id": 792, "txt": "时间进入2010时代,手游开始兴起了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[82]"}]}, "tags": [], "label": "content", "web_segment_id": 115, "global_sentence_id": 263, "edu_l1_label": "IOS"}, {"txt": "从运营工作角度来说,手游的运营其实相对来说更简单一些。", "language": "chinese", "position": {"atoms": [{"position_id": 793, "txt": "从运营工作角度来说,手游的运营其实相对来说更简单一些。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[82]"}]}, "tags": [], "label": "content", "web_segment_id": 115, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "首先,渠道部门基本不存在了,因为所有的用户支付都通过线上进行。", "language": "chinese", "position": {"atoms": [{"position_id": 795, "txt": "首先,渠道部门基本不存在了,因为所有的用户支付都通过线上进行。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[83]"}]}, "tags": [], "label": "content", "web_segment_id": 116, "global_sentence_id": 265, "edu_l1_label": "IOS"}, {"txt": "那么游戏厂商的利润率是否变高了呢?", "language": "chinese", "position": {"atoms": [{"position_id": 797, "txt": "那么游戏厂商的利润率是否变高了呢?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[84]"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": "当然不是,反而更低了。", "language": "chinese", "position": {"atoms": [{"position_id": 798, "txt": "当然不是,反而更低了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[84]"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 267, "edu_l1_label": "IOS"}, {"txt": "原因就是市场成本的大幅度提高以及“渠道分成”,就是大家常听到的“苹果税”和安卓应用市场的分成。", "language": "chinese", "position": {"atoms": [{"position_id": 799, "txt": "原因就是市场成本的大幅度提高以及“渠道分成”,就是大家常听到的“苹果税”和安卓应用市场的分成。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[84]"}]}, "tags": [], "label": "content", "web_segment_id": 117, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "在当前获取用户所需要的市场宣传成本,已经是整个游戏运营成本中最大的部分。", "language": "chinese", "position": {"atoms": [{"position_id": 801, "txt": "在当前获取用户所需要的市场宣传成本,已经是整个游戏运营成本中最大的部分。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[85]"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 269, "edu_l1_label": "IOS"}, {"txt": "如果现在一个项目在实际运营工作中,获得用户所花的成本能在1个月内回本的话,已经是非常不错的情况了。", "language": "chinese", "position": {"atoms": [{"position_id": 802, "txt": "如果现在一个项目在实际运营工作中,获得用户所花的成本能在1个月内回本的话,已经是非常不错的情况了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[85]"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 270, "edu_l1_label": "IOS"}, {"txt": "考虑到现在动辄几十甚至上百的单用户获取成本,回本压力是非常大的。", "language": "chinese", "position": {"atoms": [{"position_id": 803, "txt": "考虑到现在动辄几十甚至上百的单用户获取成本,回本压力是非常大的。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[85]"}]}, "tags": [], "label": "content", "web_segment_id": 118, "global_sentence_id": 271, "edu_l1_label": "IOS"}, {"txt": "手游的用户留存率有多少呢?", "language": "chinese", "position": {"atoms": [{"position_id": 805, "txt": "手游的用户留存率有多少呢?", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[86]"}]}, "tags": [], "label": "content", "web_segment_id": 119, "global_sentence_id": 272, "edu_l1_label": "IOS"}, {"txt": "以目前情况来看,用户在首次进入游戏后,第二天还能有40%的比例再次进入游戏,算是不错的成绩。", "language": "chinese", "position": {"atoms": [{"position_id": 806, "txt": "以目前情况来看,用户在首次进入游戏后,第二天还能有40%的比例再次进入游戏,算是不错的成绩。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[86]"}]}, "tags": [], "label": "content", "web_segment_id": 119, "global_sentence_id": 273, "edu_l1_label": "IOS"}, {"txt": "综合上述情况,手游运营的商业逻辑依然还是更多的从回本周期来考虑问题。", "language": "chinese", "position": {"atoms": [{"position_id": 807, "txt": "综合上述情况,手游运营的商业逻辑依然还是更多的从回本周期来考虑问题。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[86]"}]}, "tags": [], "label": "content", "web_segment_id": 119, "global_sentence_id": 274, "edu_l1_label": "IOS"}, {"txt": "有区别的无非是某些游戏的生命周期比较长,可以忍受稍微长一些的回本周期。", "language": "chinese", "position": {"atoms": [{"position_id": 808, "txt": "有区别的无非是某些游戏的生命周期比较长,可以忍受稍微长一些的回本周期。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[86]"}]}, "tags": [], "label": "content", "web_segment_id": 119, "global_sentence_id": 275, "edu_l1_label": "IOS"}, {"txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2GZrzh4wgGbw3SistH2s94Iy.jpeg", "language": "chinese", "position": {"atoms": [{"position_id": 400, "txt": "<img https://wcd-image-bucket-test.oss-cn-zhangjiakou.aliyuncs.com/raw/2GZrzh4wgGbw3SistH2s94Iy.jpeg", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[87]/img"}]}, "tags": ["img"], "label": "figure", "web_segment_id": 120, "global_sentence_id": 276, "edu_l1_label": "EDU_O"}, {"txt": "《原神》 网络", "language": "chinese", "position": {"atoms": [{"position_id": 810, "txt": "《原神》 网络", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[88]"}]}, "tags": [], "label": "figure_title", "web_segment_id": 121, "global_sentence_id": 277, "edu_l1_label": "EDU_O"}, {"txt": "按照操作系统来分,手游需要分成苹果和安卓两个部分来讲(鸿蒙暂时还可以放在安卓部分),两边的商业模式上还是有明显的区别。", "language": "chinese", "position": {"atoms": [{"position_id": 812, "txt": "按照操作系统来分,手游需要分成苹果和安卓两个部分来讲(鸿蒙暂时还可以放在安卓部分),两边的商业模式上还是有明显的区别。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[89]"}]}, "tags": [], "label": "content", "web_segment_id": 122, "global_sentence_id": 278, "edu_l1_label": "IOS"}, {"txt": "先从简单的苹果来说起。", "language": "chinese", "position": {"atoms": [{"position_id": 814, "txt": "先从简单的苹果来说起。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[90]"}]}, "tags": [], "label": "content", "web_segment_id": 123, "global_sentence_id": 279, "edu_l1_label": "IOS"}, {"txt": "苹果系统上的手游运营之所以相比安卓要简单一些,在于苹果系统用户获取APP的方式相对简单,就是App Store下载一种模式。", "language": "chinese", "position": {"atoms": [{"position_id": 816, "txt": "苹果系统上的手游运营之所以相比安卓要简单一些,在于苹果系统用户获取APP的方式相对简单,就是App Store下载一种模式。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[91]"}]}, "tags": [], "label": "content", "web_segment_id": 124, "global_sentence_id": 280, "edu_l1_label": "IOS"}, {"txt": "除此以外还有越狱渠道,但是那个比例已经非常低了,没有必要花笔墨。", "language": "chinese", "position": {"atoms": [{"position_id": 817, "txt": "除此以外还有越狱渠道,但是那个比例已经非常低了,没有必要花笔墨。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[91]"}]}, "tags": [], "label": "content", "web_segment_id": 124, "global_sentence_id": 281, "edu_l1_label": "IOS"}, {"txt": "也就是说一个游戏在苹果平台上,基本只有一家公司来运营,不存在联运的情况。", "language": "chinese", "position": {"atoms": [{"position_id": 818, "txt": "也就是说一个游戏在苹果平台上,基本只有一家公司来运营,不存在联运的情况。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[91]"}]}, "tags": [], "label": "content", "web_segment_id": 124, "global_sentence_id": 282, "edu_l1_label": "IOS"}, {"txt": "而安卓的情况就比较复杂,多了一个“渠道”。", "language": "chinese", "position": {"atoms": [{"position_id": 820, "txt": "而安卓的情况就比较复杂,多了一个“渠道”。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[92]"}]}, "tags": [], "label": "content", "web_segment_id": 125, "global_sentence_id": 283, "edu_l1_label": "IOS"}, {"txt": "这里的“渠道商”和之前卖点卡的“渠道商”概念完全不同,其实是“联运”的概念。", "language": "chinese", "position": {"atoms": [{"position_id": 821, "txt": "这里的“渠道商”和之前卖点卡的“渠道商”概念完全不同,其实是“联运”的概念。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[92]"}]}, "tags": [], "label": "content", "web_segment_id": 125, "global_sentence_id": 284, "edu_l1_label": "IOS"}, {"txt": "安卓的所谓“渠道”可以简单地理解为“应用市场”,手机厂商的应用市场,有华为、OPPO、VIVO、小米等等,非手机厂商的,则有应用宝、UC等等。", "language": "chinese", "position": {"atoms": [{"position_id": 823, "txt": "安卓的所谓“渠道”可以简单地理解为“应用市场”,手机厂商的应用市场,有华为、OPPO、VIVO、小米等等,非手机厂商的,则有应用宝、UC等等。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 126, "global_sentence_id": 285, "edu_l1_label": "IOS"}, {"txt": "游戏企业去这些应用市场上上架自己的游戏,首先要和渠道签“联运协议”,游戏接入这些应用市场的用户及付费系统。", "language": "chinese", "position": {"atoms": [{"position_id": 824, "txt": "游戏企业去这些应用市场上上架自己的游戏,首先要和渠道签“联运协议”,游戏接入这些应用市场的用户及付费系统。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 126, "global_sentence_id": 286, "edu_l1_label": "IOS"}, {"txt": "用户通过这些应用市场下载游戏后,使用的是应用市场的账号体系登录游戏,并且所有的消费也是付款给应用市场,然后应用市场再和游戏厂商进行分成,分成比例一般为5:", "language": "chinese", "position": {"atoms": [{"position_id": 825, "txt": "用户通过这些应用市场下载游戏后,使用的是应用市场的账号体系登录游戏,并且所有的消费也是付款给应用市场,然后应用市场再和游戏厂商进行分成,分成比例一般为5:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 126, "global_sentence_id": 287, "edu_l1_label": "IOS"}, {"txt": "5。", "language": "chinese", "position": {"atoms": [{"position_id": 826, "txt": "5。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[93]"}]}, "tags": [], "label": "content", "web_segment_id": 126, "global_sentence_id": 288, "edu_l1_label": "IOS"}, {"txt": "应用市场一般会要求游戏在正式运营前进行付费删档测试,通过测试期间的用户留存、付费等数据对游戏进行评级,通过评级的高低给予游戏正式开始运营时在本应用市场上的一定量的宣传推广资源。", "language": "chinese", "position": {"atoms": [{"position_id": 828, "txt": "应用市场一般会要求游戏在正式运营前进行付费删档测试,通过测试期间的用户留存、付费等数据对游戏进行评级,通过评级的高低给予游戏正式开始运营时在本应用市场上的一定量的宣传推广资源。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[94]"}]}, "tags": [], "label": "content", "web_segment_id": 127, "global_sentence_id": 289, "edu_l1_label": "IOS"}, {"txt": "在游戏运营以后,应用市场也会根据游戏的营收表现,继续给予推广资源的支持。", "language": "chinese", "position": {"atoms": [{"position_id": 829, "txt": "在游戏运营以后,应用市场也会根据游戏的营收表现,继续给予推广资源的支持。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[94]"}]}, "tags": [], "label": "content", "web_segment_id": 127, "global_sentence_id": 290, "edu_l1_label": "IOS"}, {"txt": "应用市场同时也会把推广资源销售给游戏厂商,供游戏厂商宣传自身在本应用市场上架的游戏产品。", "language": "chinese", "position": {"atoms": [{"position_id": 831, "txt": "应用市场同时也会把推广资源销售给游戏厂商,供游戏厂商宣传自身在本应用市场上架的游戏产品。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[95]"}]}, "tags": [], "label": "content", "web_segment_id": 128, "global_sentence_id": 291, "edu_l1_label": "IOS"}, {"txt": "除渠道联运外,游戏厂商也可以通过媒体宣传游戏,用户通过这种宣传广告下载到的游戏包体,一般使用厂商自己的用户及付费系统。", "language": "chinese", "position": {"atoms": [{"position_id": 832, "txt": "除渠道联运外,游戏厂商也可以通过媒体宣传游戏,用户通过这种宣传广告下载到的游戏包体,一般使用厂商自己的用户及付费系统。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[95]"}]}, "tags": [], "label": "content", "web_segment_id": 128, "global_sentence_id": 292, "edu_l1_label": "IOS"}, {"txt": "这种情况下用户的付费,游戏厂商就不用和任何第三方来进行分成了。", "language": "chinese", "position": {"atoms": [{"position_id": 833, "txt": "这种情况下用户的付费,游戏厂商就不用和任何第三方来进行分成了。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[95]"}]}, "tags": [], "label": "content", "web_segment_id": 128, "global_sentence_id": 293, "edu_l1_label": "IOS"}, {"txt": "归纳一下:", "language": "chinese", "position": {"atoms": [{"position_id": 835, "txt": "归纳一下:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[96]"}]}, "tags": [], "label": "content", "web_segment_id": 129, "global_sentence_id": 294, "edu_l1_label": "IOS"}, {"txt": "苹果:", "language": "chinese", "position": {"atoms": [{"position_id": 837, "txt": "苹果:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[9]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 130, "global_sentence_id": 295, "edu_l1_label": "IOS"}, {"txt": "游戏厂商自己花钱做宣传,得到的收入需要和苹果分成。", "language": "chinese", "position": {"atoms": [{"position_id": 838, "txt": "游戏厂商自己花钱做宣传,得到的收入需要和苹果分成。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[9]/p[1]"}]}, "tags": [], "label": "content", "web_segment_id": 130, "global_sentence_id": 296, "edu_l1_label": "IOS"}, {"txt": "安卓:", "language": "chinese", "position": {"atoms": [{"position_id": 840, "txt": "安卓:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[9]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 131, "global_sentence_id": 297, "edu_l1_label": "IOS"}, {"txt": "游戏厂商自己在外部媒体做宣传,得到的收入都是自己的;", "language": "chinese", "position": {"atoms": [{"position_id": 841, "txt": "游戏厂商自己在外部媒体做宣传,得到的收入都是自己的;", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/blockquote[9]/p[2]"}]}, "tags": [], "label": "content", "web_segment_id": 131, "global_sentence_id": 298, "edu_l1_label": "IOS"}, {"txt": "游戏厂商自己在应用市场做宣传+应用市场提供免费的宣传资源,得到的收入厂商和应用市场分成。", "language": "chinese", "position": {"atoms": [{"position_id": 843, "txt": "游戏厂商自己在应用市场做宣传+应用市场提供免费的宣传资源,得到的收入厂商和应用市场分成。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[97]"}]}, "tags": [], "label": "content", "web_segment_id": 132, "global_sentence_id": 299, "edu_l1_label": "IOS"}, {"txt": "在前几年,安卓应用市场能提供的用户量非常巨大,所以大多数厂商对于渠道的依赖性很强。", "language": "chinese", "position": {"atoms": [{"position_id": 845, "txt": "在前几年,安卓应用市场能提供的用户量非常巨大,所以大多数厂商对于渠道的依赖性很强。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[98]"}]}, "tags": [], "label": "content", "web_segment_id": 133, "global_sentence_id": 300, "edu_l1_label": "IOS"}, {"txt": "一些“垃圾”游戏也利用应用市场给予的免费资源导入的用户来赚钱。", "language": "chinese", "position": {"atoms": [{"position_id": 846, "txt": "一些“垃圾”游戏也利用应用市场给予的免费资源导入的用户来赚钱。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[98]"}]}, "tags": [], "label": "content", "web_segment_id": 133, "global_sentence_id": 301, "edu_l1_label": "IOS"}, {"txt": "当一个游戏赚不动了,就换皮搞个新的再上,再蹭一波资源。", "language": "chinese", "position": {"atoms": [{"position_id": 847, "txt": "当一个游戏赚不动了,就换皮搞个新的再上,再蹭一波资源。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[98]"}]}, "tags": [], "label": "content", "web_segment_id": 133, "global_sentence_id": 302, "edu_l1_label": "IOS"}, {"txt": "近两年,应用市场能带来的用户量有一些下降的趋势。", "language": "chinese", "position": {"atoms": [{"position_id": 848, "txt": "近两年,应用市场能带来的用户量有一些下降的趋势。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[98]"}]}, "tags": [], "label": "content", "web_segment_id": 133, "global_sentence_id": 303, "edu_l1_label": "IOS"}, {"txt": "这里要特别讲一个“特殊”的渠道:", "language": "chinese", "position": {"atoms": [{"position_id": 850, "txt": "这里要特别讲一个“特殊”的渠道:", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[99]"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 304, "edu_l1_label": "IOS"}, {"txt": "TAPTAP。", "language": "chinese", "position": {"atoms": [{"position_id": 851, "txt": "TAPTAP。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[99]"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 305, "edu_l1_label": "IOS"}, {"txt": "厂商在TAPTAP上架游戏,TAPTAP并不分成,而是通过销售推广资源来获利。", "language": "chinese", "position": {"atoms": [{"position_id": 852, "txt": "厂商在TAPTAP上架游戏,TAPTAP并不分成,而是通过销售推广资源来获利。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[99]"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 306, "edu_l1_label": "IOS"}, {"txt": "从这个角度上来看,TAPTAP的性质更类似于传统的游戏垂直媒体。", "language": "chinese", "position": {"atoms": [{"position_id": 853, "txt": "从这个角度上来看,TAPTAP的性质更类似于传统的游戏垂直媒体。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[99]"}]}, "tags": [], "label": "content", "web_segment_id": 134, "global_sentence_id": 307, "edu_l1_label": "IOS"}, {"txt": "再说一个标杆性的游戏《原神》。", "language": "chinese", "position": {"atoms": [{"position_id": 855, "txt": "再说一个标杆性的游戏《原神》。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[100]"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 308, "edu_l1_label": "IOS"}, {"txt": "在我看来,《原神》最特殊的地方,是它摆脱了对安卓联运模式的依赖。", "language": "chinese", "position": {"atoms": [{"position_id": 856, "txt": "在我看来,《原神》最特殊的地方,是它摆脱了对安卓联运模式的依赖。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[100]"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 309, "edu_l1_label": "IOS"}, {"txt": "在《原神》开始运营后很长一段时间,以自身明显高出市场平均水准的游戏品质为基础,在安卓平台完全靠着米哈游自己的宣传推广来引入新用户,而所有的收入自然也归于自己。", "language": "chinese", "position": {"atoms": [{"position_id": 857, "txt": "在《原神》开始运营后很长一段时间,以自身明显高出市场平均水准的游戏品质为基础,在安卓平台完全靠着米哈游自己的宣传推广来引入新用户,而所有的收入自然也归于自己。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[100]"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 310, "edu_l1_label": "IOS"}, {"txt": "这样的运营方式更像客户端游戏时代的方式。", "language": "chinese", "position": {"atoms": [{"position_id": 858, "txt": "这样的运营方式更像客户端游戏时代的方式。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[100]"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 311, "edu_l1_label": "IOS"}, {"txt": "现在《原神》也开始和部分应用市场联运,和其他厂商不一样的是,米哈游拿了分成的大头。", "language": "chinese", "position": {"atoms": [{"position_id": 859, "txt": "现在《原神》也开始和部分应用市场联运,和其他厂商不一样的是,米哈游拿了分成的大头。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[100]"}]}, "tags": [], "label": "content", "web_segment_id": 135, "global_sentence_id": 312, "edu_l1_label": "IOS"}, {"txt": "我认为《原神》这种模式是可能被复制的,我也看到《原神》之后,整个游戏行业对游戏的品质要求有了明显的提升。", "language": "chinese", "position": {"atoms": [{"position_id": 861, "txt": "我认为《原神》这种模式是可能被复制的,我也看到《原神》之后,整个游戏行业对游戏的品质要求有了明显的提升。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[101]"}]}, "tags": [], "label": "content", "web_segment_id": 136, "global_sentence_id": 313, "edu_l1_label": "IOS"}, {"txt": "《黑神话》的出现就是希望。", "language": "chinese", "position": {"atoms": [{"position_id": 862, "txt": "《黑神话》的出现就是希望。", "x": "/html/body/div/div/div[1]/div/div[2]/div[3]/div/div/div/div[1]/div/div[1]/div[1]/div/div/div[2]/div/p[101]"}]}, "tags": [], "label": "content", "web_segment_id": 136, "global_sentence_id": 314, "edu_l1_label": "IOS"}], "type": "WEB"}
# 中国游戏市场为什么这么多“垃圾游戏”? ## 01 一个游戏运营公司都有哪些部门 ### 运维部门,最强壮(字面意思)的部门: ### 开发(平台)部门,最有钱(平均工资)的部门: ### 销售(渠道)部门,最能喝(酒)的部门: ### 市场部门,最花钱的部门: ### 客服部门,人最多的部门: ## 02 早期游戏运营内幕 ## 03 游戏公司赚钱吗? ## 04 “宝箱”的本质 ## 05 “潘多拉魔盒”被打开 ### 1.降低用户的获取成本 ### 2.能否快速使用户产生付费冲动? ### 3.提升游戏品质 ## 06 “应用市场”的时代
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{"entry_id": "17791632-a5fc-45a1-9640-e74703d53683", "infos": [{"txt": "Mixture of Tunable Experts - Behavior Modification of DeepSeek-R1 at Inference Time", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.19, 0.14, 0.81, 0.162], [0.321, 0.168, 0.679, 0.189]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 7, "global_sentence_id": 0, "edu_l1_label": "BOT"}, {"txt": "Robert Dahlke1,*, Henrik Klagges1,*, Dan Zecha1, Benjamin Merkel1, Sven Rohr1, and Fabian Klemm1", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 100000, "bbox": [[0.14, 0.209, 0.86, 0.224], [0.434, 0.227, 0.565, 0.235]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 9, "global_sentence_id": 1, "edu_l1_label": "EDU_O"}, {"txt": "C", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 200000, "bbox": 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"label": "abstract", "web_segment_id": 1, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "Our approach shares similarities with sparse autoencoders (SAEs) in terms of explainability and steerability.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.141, 0.578, 0.859, 0.589]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 6, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "Unlike SAEs, MoTE does not require large training eforts, as within MoEs with a vast number of experts, specialization already emerged naturally during pretraining.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.141, 0.591, 0.859, 0.603], [0.141, 0.605, 0.536, 0.617]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 6, "global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "Our fndings suggest that signifcant functional mechanisms in Mixture-of-Experts architectures can at least partially be localized in a small number of specifc experts, rather than being distributed throughout the model’s weights.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.141, 0.622, 0.859, 0.633], [0.141, 0.635, 0.859, 0.647], [0.141, 0.649, 0.249, 0.661]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 5, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "Expert subgroups can be tuned to trigger signifcant behavior variations, providing insightsinto the inner workings of LLMs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 700000, "bbox": [[0.249, 0.649, 0.859, 0.661], [0.141, 0.663, 0.359, 0.674]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 5, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "1Introduction", 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"tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "Finetuning generates a new version of the base model, resulting in substantial implementation overhead — even if the AI provider hosts a robust fnetuning environment.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.383, 0.124, 0.882, 0.137], [0.158, 0.139, 0.882, 0.152]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.138, 0.164, 0.15, 0.177]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "Techniques involving direct brain intervention on the model itself allow for targeted modifcations during inference potentially in real-time.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.15, 0.164, 0.882, 0.177], [0.158, 0.18, 0.446, 0.192]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "The weights and activations of neurons in selected sub-areas of the neural network can be partially or completely altered, either adaptively for individual prompts or token-specifc.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.446, 0.18, 0.882, 0.192], [0.158, 0.195, 0.883, 0.207], [0.158, 0.21, 0.279, 0.222]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "While this approach is currently explored in research, to our knowledge it has not yet been deployed in production environments.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.279, 0.21, 0.882, 0.222], [0.158, 0.225, 0.492, 0.237]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "A class 3 methodology that has matured into a prominent research direction are Sparse Autoencoders (SAEs), where features embedded in the relatively small inner dimensions of a LLM are reconstructed in an auto-encoding manner [1, 2, 3].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.142, 0.253, 0.882, 0.265], [0.118, 0.268, 0.882, 0.28], [0.118, 0.283, 0.365, 0.295]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "This allows for both a high-quality interpretation of these features and targeted control over the model’s behavior by selectively activating specifc features.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.365, 0.283, 0.882, 0.295], [0.118, 0.298, 0.718, 0.31]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "Our new method, which we name “Mixture of Tunable Experts” (MoTE), also belongs into class 3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.142, 0.313, 0.861, 0.326]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "Itis based on the established “Mixture of Experts” (MoE) architecture that has been proven to be viablefor decomposing transformer models into smaller, more manageable components called experts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.861, 0.313, 0.882, 0.326], [0.118, 0.328, 0.882, 0.341], [0.118, 0.343, 0.81, 0.356]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "Properly implemented MoEs can yield signifcant computational benefts with minimal to no performance degradation [4, 5].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.81, 0.343, 0.882, 0.356], [0.118, 0.358, 0.882, 0.371], [0.118, 0.373, 0.157, 0.386]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "Recent models published by DeepSeek, namely V3 and R1 [6], have further advanced this concept by increasing the number of experts to 14,906 [7, 8].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.157, 0.373, 0.882, 0.386], [0.118, 0.388, 0.468, 0.401]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "This is massively bigger than previously typical numbers and was key impetus for this research: As the number of experts increased so much, both in terms of total count and simultaneous activity, does this enable a new level of interpretability of their activations?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.468, 0.388, 0.882, 0.401], [0.118, 0.404, 0.882, 0.416], [0.118, 0.419, 0.838, 0.431]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "If so, can this be leveraged to steer the model’s behavior?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.838, 0.419, 0.882, 0.431], [0.118, 0.434, 0.488, 0.446]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 51, "edu_l1_label": "IOS"}, {"txt": "We investigate these questions by examining DeepSeek-R1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.142, 0.449, 0.563, 0.461]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 52, "edu_l1_label": "IOS"}, {"txt": "2Technical Approach", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.118, 0.486, 0.385, 0.504]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 7, "global_sentence_id": 53, "edu_l1_label": "BOS"}, {"txt": "R1 has gained signifcant worldwide attention since its release.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.118, 0.518, 0.55, 0.531]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 54, "edu_l1_label": "IOS"}, {"txt": "One of its most notable features is its advanced reasoning capability, which is a direct result of an innovative reinforcement learning training process.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.55, 0.518, 0.882, 0.531], [0.118, 0.533, 0.845, 0.546]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "The open-source release of its weights under a permissive license has further boosted its popularity, making it an ideal choice for research purposes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.845, 0.533, 0.882, 0.546], [0.118, 0.548, 0.882, 0.561], [0.118, 0.563, 0.36, 0.576]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "The architecture of R1 is based on the previously introduced DeepSeekMoE [7], which enhanced the MoE architecture (cf.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.142, 0.578, 0.882, 0.591], [0.118, 0.593, 0.231, 0.606]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "Figure 1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.231, 0.593, 0.311, 0.606]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "Sparse MoE layers [9] optimize the Feed-Forward Networks (FFNs) within the Transformer framework [10] by cutting the FFNs into smaller, parallel subnetworks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.311, 0.593, 0.882, 0.606], [0.118, 0.609, 0.722, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "DeepSeek categorizes these subnetworks as", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.722, 0.609, 0.882, 0.621], [0.118, 0.624, 0.267, 0.636]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "• shared experts, which are always on and process all tokens, intended to capture common knowledgeacross varying contexts", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.142, 0.646, 0.882, 0.661], [0.158, 0.664, 0.323, 0.676]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "• and routed experts, which are only activated if they are selected by an upstream router network,intended to gain non-overlapping and focused knowledge [7].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.142, 0.687, 0.882, 0.702], [0.158, 0.704, 0.589, 0.717]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.493, 0.936, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 63, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.23, 0.087, 0.762, 0.324]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 4, "global_sentence_id": 65, "edu_l1_label": "EDU_O"}, {"txt": "Figure 1: MoTE as an extension to the DeepSeekMoE architecture (Illustration taken from [8, p.7] and modifed). Shared experts are always activated. Originally, only the top-k routed experts selected by the Router’s output get activated. With MoTE, there’s an added fexibility: individual routed experts can betuned by manually overriding the Router’s output at inference time.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.112, 0.335, 0.886, 0.398]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 1, "global_sentence_id": 66, "edu_l1_label": "EDU_O"}, {"txt": "The R1 designers massively scaled up their innovative concept, namely to one shared expert and 256 routed experts in each of its 58 MoE layers. This results in 14,848 routed experts across the entire model, and in total 14,906 routed and shared experts. During inference each router activates eight of the 256 routed experts in its layer. In comparison, Mixtral 8x22B [5], an older MoE model, has only 448 experts in total. They are organized into just eight routed experts in each of its 56 MoE layers with two of the eight selected. Mistral, Mixtral’s manufacturer, was surprised that they did not fnd evidence for its experts specializing incertain domains [11, Section 5], which in hindsight may simply be due to a too-small expert count per layer. DeepSeek’s MoE architecture was specifcally designed for increased specialization of the routed experts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.113, 0.413, 0.888, 0.534]]}]}, "tags": ["figure_caption"], "label": "content", "web_segment_id": 7, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "DeepSeek performed an ablation study to investigate the role of diferent experts.They found that switching of shared experts massively reduces the models capabilities, which indicates that basic knowledge is attained by these shared experts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.142, 0.537, 0.882, 0.549], [0.118, 0.552, 0.882, 0.564], [0.118, 0.567, 0.379, 0.579]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": "Switching of top routed experts in each layer also degrades model performance.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.379, 0.567, 0.882, 0.579], [0.118, 0.582, 0.21, 0.594]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "They measured signifcant negative efects when switching of 1/16 of the top routed experts, which is a very destructive act [7, p.13].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.21, 0.582, 0.882, 0.594], [0.118, 0.597, 0.402, 0.61]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "These fndings motivate the assumption that switching of a few individual experts among the ∼15kexperts of R1 will harm the overall model performance only slightly if at all.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.142, 0.612, 0.882, 0.625], [0.118, 0.627, 0.678, 0.64]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "At the same time, the fne granular subdivision into expert sub-networks may ofer the ability to steer the model behavior by modifying the expert routing.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.678, 0.627, 0.882, 0.64], [0.118, 0.642, 0.882, 0.655], [0.118, 0.657, 0.253, 0.67]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "In order to measure and tune expert activations, we deployed R1 on an 8xH100 NVL cluster running a modifed vLLM [12] inference engine, providing us access to expert routers for all individual layers and both input and completion tokens.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.142, 0.672, 0.882, 0.685], [0.118, 0.688, 0.882, 0.7], [0.118, 0.703, 0.326, 0.715]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "[13]", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.326, 0.703, 0.358, 0.715]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "2.1Analyzing Expert Activation", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.118, 0.736, 0.445, 0.751]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "Within the R1 MoE architecture, a single token only activates a fraction of 8 / 256 routed experts in each layer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.118, 0.761, 0.882, 0.774], [0.118, 0.776, 0.156, 0.789]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "A router computes activation scores for all routed experts based on its hidden input taken from the attention block of this layer (cf.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.156, 0.776, 0.882, 0.789], [0.118, 0.791, 0.344, 0.804]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "Figure 1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.344, 0.791, 0.421, 0.804]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "Only the top-k experts having the highest activation scores will process the hidden input state.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.421, 0.791, 0.882, 0.804], [0.118, 0.806, 0.338, 0.819]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "Non-selected routed experts do not contribute to the next token generation step.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.338, 0.806, 0.882, 0.819], [0.118, 0.821, 0.151, 0.834]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "Each input token therefore activates a specifc pattern of routed experts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.151, 0.821, 0.679, 0.834]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "This activation pattern can be visualized in 2D for each token, as shown in Figure 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.679, 0.821, 0.882, 0.834], [0.118, 0.837, 0.522, 0.849]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.494, 0.936, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 83, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.11, 0.087, 0.891, 0.292]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 0, "global_sentence_id": 84, "edu_l1_label": "EDU_O"}, {"txt": "Figure 2: Functional Token Resonance Imaging (fTRI) visualizes the expert activation of an exemplary single token. For each gated layer in the network, the corresponding row depicts which 8 of the 256 routed experts got activated.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.115, 0.316, 0.885, 0.364]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 85, "edu_l1_label": "EDU_O"}, {"txt": "In order to gain a more insightful activation pattern, we consider expert activations aggregated over all tokens of the input prompt (Figure 3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.142, 0.382, 0.882, 0.395], [0.118, 0.397, 0.399, 0.41]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 86, "edu_l1_label": "IOS"}, {"txt": "This condenses all expert choices of the LLM when it has parsed the input prompt and just before the frst output token gets generated, i.e.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.399, 0.397, 0.882, 0.41], [0.118, 0.412, 0.653, 0.425]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "just before it starts to generate an answer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.653, 0.412, 0.882, 0.425], [0.118, 0.427, 0.194, 0.44]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "Thus, we use the term functional Token Resonance Imaging (fTRI).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.194, 0.427, 0.69, 0.44]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "Experts resonate with the provided token pattern.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.69, 0.427, 0.882, 0.44], [0.118, 0.442, 0.286, 0.455]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.114, 0.472, 0.889, 0.671]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 1, "global_sentence_id": 91, "edu_l1_label": "EDU_O"}, {"txt": "Figure 3: fTRI map that visualizes the expert activation pattern aggregated over all tokens in an input prompt.Each row depicts the activations of the layer experts as in Figure 2, summed over all prompt tokens. A higher signal indicates that a given expert was selected for more input tokens.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.115, 0.695, 0.886, 0.744]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 92, "edu_l1_label": "EDU_O"}, {"txt": "If experts are specialized and responsible for specifc knowledge domains, then fTRI visualizes these domains, as those experts having relevant knowledge about the concepts contained in the prompt will have been activated more often than experts that have no conceptional overlap.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.142, 0.761, 0.882, 0.774], [0.118, 0.776, 0.882, 0.789], [0.118, 0.791, 0.648, 0.804]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "2.2 Multidimensional Prompt Sensitivity Analysis using behavior-specifc Dataset Generation", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.118, 0.824, 0.146, 0.839], [0.168, 0.824, 0.838, 0.839], [0.168, 0.842, 0.356, 0.857]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "We aim to trigger and measure diferent model behaviors with regard to expert activations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.142, 0.869, 0.807, 0.882]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "Thus, we designed a parameterized prompt pattern whose parameter combinations elicit several distinct activation patterns.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.807, 0.869, 0.882, 0.882], [0.118, 0.885, 0.882, 0.897], [0.118, 0.9, 0.181, 0.912]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.494, 0.938, 0.507, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 97, "edu_l1_label": "EDU_O"}, {"txt": "The prompt pattern follows the format “What happened {time}{place}?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.142, 0.094, 0.673, 0.107]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "”.The {time} parameter isselected from the range 1980–2025 and may also include relative terms such as “yesterday”, “last year”, and“last month”.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.673, 0.094, 0.882, 0.107], [0.118, 0.109, 0.882, 0.122], [0.118, 0.124, 0.215, 0.137]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "The possible locations for the {place} parameter include “at Berlin Wall”, “at Heathrow”,“in Manhattan”, “in Singapore”, “in Beijing”, “in Shanghai”, “in London”, “in South Africa”, “in Mexico”,“in Paris”, and “in Brussels”.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.215, 0.124, 0.882, 0.137], [0.118, 0.139, 0.882, 0.152], [0.118, 0.154, 0.332, 0.167]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "The Cartesian combination of all attributes yields an analytical dataset with756 question sentences, directly usable as prompts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.332, 0.154, 0.882, 0.167], [0.118, 0.17, 0.477, 0.182]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "Note that we made sure that the questions contain some (time, place)-combinations that the LLM might consider as sensitive as well as some that the LLM would probably consider as harmless.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.477, 0.17, 0.882, 0.182], [0.118, 0.185, 0.882, 0.197], [0.118, 0.2, 0.336, 0.212]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "Our dataset triggers three types of answers:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.142, 0.215, 0.454, 0.227]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 103, "edu_l1_label": "IOS"}, {"txt": "• REFUSED:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.142, 0.228, 0.241, 0.242]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": " The DeepSeek model directly responds to the question with an answer of the form:“<think></think>I am sorry, I cannot answer that question.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.241, 0.228, 0.882, 0.242], [0.158, 0.245, 0.593, 0.258]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "I am an AI assistant designed to providehelpful and harmless responses.” So it does not start its reasoning process but simply refuses to answer.We classify questions triggering this behavior and their corresponding activation patterns using the label 0-REFUSED", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.593, 0.245, 0.882, 0.258], [0.158, 0.26, 0.882, 0.273], [0.158, 0.275, 0.882, 0.288], [0.158, 0.29, 0.275, 0.303]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "• ALIGNED:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.142, 0.313, 0.24, 0.328]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": " DeepSeek does not enter its reasoning process but instead directly returns an answer ofthe form: “<think></think>In 2017, several notable events occurred at London’s Heathrow Airport,one of the busiest airports in the world.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.24, 0.313, 0.882, 0.328], [0.158, 0.331, 0.882, 0.343], [0.158, 0.346, 0.436, 0.358]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "...”.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.436, 0.346, 0.471, 0.358]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "These answers are somewhat specifc to the question, butbecause there is no reasoning process involved, they constitute a generic collection of facts that seem to have been learned during the alignment process after the RL training.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.471, 0.346, 0.882, 0.358], [0.158, 0.361, 0.882, 0.373], [0.158, 0.376, 0.674, 0.388]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "We thus classify them under the label 1-ALIGNED", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.674, 0.376, 0.882, 0.388], [0.158, 0.391, 0.303, 0.404]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "• REASONED:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.142, 0.414, 0.256, 0.429]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": " DeepSeek enters the reasoning process for which it got famous, before composing thefnal answer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.256, 0.414, 0.882, 0.429], [0.158, 0.431, 0.249, 0.444]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "In these cases, the responses start with: “<think>Okay, so I need to fgure out whathappened in 2000 at the Berlin Wall.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.249, 0.431, 0.882, 0.444], [0.158, 0.446, 0.431, 0.459]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "Let me start by recalling what I know about...”.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.431, 0.446, 0.79, 0.459]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "Since theseresponses make use of the reasoning step R1 had explicitly been trained for, we classify them using the label 2-REASONED", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.79, 0.446, 0.882, 0.459], [0.158, 0.461, 0.882, 0.474], [0.158, 0.476, 0.283, 0.489]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "The diference between “aligned” and “reasoned” answers is commonly attributed to the distinctionbetween System 1 thinking (fast, intuitive, and automatic) and System 2 thinking (slow, deliberate, and reasoning-based) ([14])", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.142, 0.502, 0.882, 0.514], [0.118, 0.517, 0.882, 0.529], [0.118, 0.532, 0.28, 0.544]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "For all prompts in our dataset, we record the expert activation pattern for each token in both the question prompt and the answer completion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.142, 0.547, 0.882, 0.559], [0.118, 0.562, 0.372, 0.575]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "Based on these recordings, we derived an overall activation pattern for each prompt, as illustrated in Figure 3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.372, 0.562, 0.882, 0.575], [0.118, 0.577, 0.4, 0.59]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "In the following, we will analyze these averaged prompt activation patterns further and relate them with their respective classifcations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.4, 0.577, 0.882, 0.59], [0.118, 0.592, 0.608, 0.605]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": "2.3Activation Pattern Understanding / Insights", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.118, 0.626, 0.598, 0.641]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 8, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "To better understand how activation patterns compare across our analytical dataset, we apply t-distributed Stochastic Neighbor Embedding ([15]) to generate a two-dimensional projection of the original expert activation patterns.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.118, 0.651, 0.882, 0.663], [0.118, 0.666, 0.882, 0.678], [0.118, 0.681, 0.214, 0.693]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "t-SNE represents each high-dimensional expert activation pattern as a two-dimensional point (Figure 4).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.214, 0.681, 0.882, 0.693], [0.118, 0.696, 0.194, 0.708]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "This ensures that similar activation patterns are positioned close to each other, while dissimilar patterns are mapped to distant points with high probability.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.194, 0.696, 0.882, 0.708], [0.118, 0.711, 0.549, 0.724]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.494, 0.936, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 125, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.158, 0.098, 0.835, 0.372]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 1, "global_sentence_id": 126, "edu_l1_label": "EDU_O"}, {"txt": "Figure 4: Mapping expert activation patterns for diferent prompts into two dimensions using t-SNE reveals distinct clusters of similar activation patterns. E.g. cluster 2 represents questions about recent events (see text for details on clusters C1 - C4).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.114, 0.385, 0.886, 0.431]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 127, "edu_l1_label": "EDU_O"}, {"txt": "Mapping expert activation patterns for diferent prompts into two dimensions using t-SNE reveals distinct clusters of similar activation patterns.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.142, 0.451, 0.882, 0.464], [0.118, 0.467, 0.383, 0.479]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 128, "edu_l1_label": "IOS"}, {"txt": "Specifcally, when examining 0-REFUSED patterns, we observe a clearly separated cluster of prompt activations (C1) corresponding to questions about certain places and events in China, that are not supposed to get answered by the model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.383, 0.467, 0.882, 0.479], [0.118, 0.482, 0.882, 0.494], [0.118, 0.497, 0.551, 0.509]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "Other clusters are less distinct.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.551, 0.497, 0.782, 0.509]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "For instance, questions about recent events like “yesterday”, “last month”, “last year” (C2) mostly result in aligned answers,but for certain places like the Berlin Wall in Germany they get refused, too.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.782, 0.497, 0.882, 0.509], [0.118, 0.512, 0.882, 0.524], [0.118, 0.527, 0.65, 0.54]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "When asked about events in the 1980s (C3) and 1990s (C4), the model activates its reasoning process to provide an answer, except for places like Beijing or Shanghai, which get refused.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.65, 0.527, 0.882, 0.54], [0.118, 0.542, 0.882, 0.555], [0.118, 0.557, 0.422, 0.57]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "This motivates the hypothesis that tuning the right experts may change the model behavior such that refused answers from these clusters switch to aligned answers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.422, 0.557, 0.882, 0.57], [0.118, 0.572, 0.827, 0.585]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "2.4Identifcation of Distinctive Experts", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.118, 0.606, 0.514, 0.621]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 134, "edu_l1_label": "IOS"}, {"txt": "Using the parameterized prompt pattern above we can now systematically trigger three diferent response types 0-REFUSED, 1-ALIGNED, and 2-REASONED and study the activation patterns that contribute most specifically to each type of model behavior.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.118, 0.631, 0.882, 0.643], [0.118, 0.646, 0.882, 0.658], [0.118, 0.661, 0.386, 0.673]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 135, "edu_l1_label": "IOS"}, {"txt": "We hypothesize that the experts with a high activation to 0-REFUSED answers and a low activation otherwise can specifcally be associated with prompts where the LLM provides an answer of type 0-REFUSED.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.142, 0.676, 0.882, 0.689], [0.118, 0.691, 0.882, 0.704]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "By actively suppressing these expert activations during inference, we expect to be able to infuence the model’sbehavior such that fewer answers get refused.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.118, 0.706, 0.882, 0.719], [0.118, 0.721, 0.441, 0.734]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "To achieve this goal, we process our analytical dataset as follows:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.142, 0.736, 0.607, 0.749]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.138, 0.764, 0.15, 0.776]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 139, "edu_l1_label": "IOS"}, {"txt": "Prompt Activation Map: For each prompt, we sum up the activations of each routed expert in all layers for all tokens of the input prompt (see Figure 3 for an example).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.15, 0.764, 0.882, 0.776], [0.158, 0.779, 0.619, 0.792]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 140, "edu_l1_label": "IOS"}, {"txt": "2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.138, 0.804, 0.15, 0.817]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "Map Classifcation: The maps get classifed into one of the three predefned response classes {0-REFUSED, 1-ALIGNED, 2-REASONED}, depending on the model response to the underlying input prompt.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.15, 0.804, 0.887, 0.817], [0.158, 0.819, 0.821, 0.832]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.138, 0.844, 0.15, 0.857]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "Average Activation Map: Within each category, we average the activation maps.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.15, 0.844, 0.732, 0.857]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "4. fTRI:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.138, 0.869, 0.198, 0.882]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": " Finally, functional Token Resonance Imaging helps us to identify the experts that most distinctively contribute to each class.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.198, 0.869, 0.882, 0.882], [0.158, 0.885, 0.38, 0.897]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "As a measure of resonance we take the averaged activations for the desired class and subtract the averaged activations of all other classes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.38, 0.885, 0.882, 0.897], [0.158, 0.9, 0.66, 0.912]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.494, 0.937, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 148, "edu_l1_label": "EDU_O"}, {"txt": "In practice, to identify those experts that are most likely responsible for answer refusal, we consider the fTRI map for the class 0-REFUSED (Figure 5).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.142, 0.094, 0.882, 0.107], [0.118, 0.109, 0.453, 0.122]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": "Experts with high resonance values in this map represent potential candidates that may contribute signifcantly to answer refusal.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.453, 0.109, 0.882, 0.122], [0.118, 0.124, 0.635, 0.137]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "The fTRI map shows that only a few routed experts stand out.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.635, 0.124, 0.882, 0.137], [0.118, 0.139, 0.329, 0.152]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "The top 5 - 7 experts can directly be identifed by just looking at Figure 5., where the most distinctive expert for refusal identifes as (expert-id, layer-id) = (176, 48).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.329, 0.139, 0.882, 0.152], [0.118, 0.154, 0.783, 0.167]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "Most of our experiments were done by tuning the top 10 resonant experts among the ∼15k routed experts in total, tokeep side efects of the manipulation low.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.783, 0.154, 0.882, 0.167], [0.118, 0.17, 0.882, 0.182], [0.118, 0.185, 0.411, 0.197]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.11, 0.215, 0.893, 0.417]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 154, "edu_l1_label": "EDU_O"}, {"txt": "Figure 5: fTRI map of diferential activations for refused prompts. Highly distinctive experts (highlighted with red circles, e.g. routed expert with expert-id 176, layer-id 48) are chosen as candidates for tuning, their exact coordinates are listed in appendix A.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.115, 0.453, 0.888, 0.501]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 1, "global_sentence_id": 155, "edu_l1_label": "EDU_O"}, {"txt": "3Results", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.118, 0.527, 0.242, 0.545]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 5, "global_sentence_id": 156, "edu_l1_label": "BOS"}, {"txt": "3.1Suppressing Distinctive Experts", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.118, 0.559, 0.476, 0.574]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "With the distinctive experts for refusal of answers at hand, we performed an ablation study to test if these experts are crucial for the LLM behavior to refuse certain answers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.118, 0.584, 0.882, 0.597], [0.118, 0.599, 0.586, 0.612]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "We suppressed these experts by adapting the expert router functions: if one of the identifed experts is selected among the top-k ids, meaning chosen by the MoE router (cf.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.586, 0.599, 0.882, 0.612], [0.118, 0.614, 0.882, 0.627], [0.118, 0.63, 0.282, 0.642]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "Figure 1), we set its corresponding weight to zero and renormalize the other top-k weights.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.282, 0.63, 0.882, 0.642], [0.118, 0.645, 0.175, 0.657]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "This approach guarantees that the identifed experts have no impact on the output, and that no alternative experts are selected instead.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.175, 0.645, 0.882, 0.657], [0.118, 0.66, 0.398, 0.672]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "Using the modifed MoE, we 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Berlin Wall.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.289, 0.528, 0.701, 0.547]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 190, "edu_l1_label": "EDU_O"}, {"txt": "Let me start by", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.289, 0.528, 0.701, 0.547]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 191, "edu_l1_label": "EDU_O"}, {"txt": "recalling what I know [...]", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.28, 0.544, 0.511, 0.563]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 192, "edu_l1_label": "EDU_O"}, {"txt": "Figure 7: Exemplary shift from 1-ALIGNED to 2-REASONED.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.286, 0.59, 0.715, 0.608]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 10, "global_sentence_id": 193, "edu_l1_label": "EDU_O"}, {"txt": "Figures 6 and 7 show two exemplary model responses with and without suppression of the distinctive experts, one demonstrating a shift from a 0-REFUSED to an 1-ALIGNED, the other a shift from an 1-ALIGNED to a 2-REASONED answer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.142, 0.626, 0.882, 0.639], [0.118, 0.641, 0.882, 0.654], [0.118, 0.657, 0.293, 0.669]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "Importantly, we did not observe a degradation in general language capabilities (cf.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.293, 0.657, 0.882, 0.669]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "also Section 3.5).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.118, 0.672, 0.239, 0.684]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 196, "edu_l1_label": "IOS"}, {"txt": "Overall, the expert suppression results in a signifcant reduction of refused answers (Figure 8):", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.142, 0.687, 0.805, 0.699]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 197, "edu_l1_label": "IOS"}, {"txt": " the model can be changed to provide an answer for about 40% of the originally refused prompts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.805, 0.687, 0.882, 0.699], [0.118, 0.702, 0.736, 0.714]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": "Notably, previously non-refused answers all remain non-refused.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.736, 0.702, 0.882, 0.714], [0.118, 0.717, 0.429, 0.73]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.494, 0.938, 0.507, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 200, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.111, 0.085, 0.87, 0.374]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 3, "global_sentence_id": 201, "edu_l1_label": "EDU_O"}, {"txt": "New Classification", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.431, 0.362, 0.533, 0.375]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 5, "global_sentence_id": 202, "edu_l1_label": "EDU_O"}, {"txt": "Figure 8: Left: Change in model behavior with suppressed experts for the parameterized dataset. The top row shows that the tuned model provides a non-refused answer for almost 40% of those prompts that get refused by R1. The second row shows that no additional prompts get refused, i.e. for this dataset there is no unwanted efect in the opposite direction. Right: Control results with randomly selected experts. More than 90% of the previously refused answers remain refused.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.115, 0.39, 0.886, 0.469]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 0, "global_sentence_id": 203, "edu_l1_label": "EDU_O"}, {"txt": "As a demonstration that the weakening of alignment is specifc to the set of suppressed experts, we run a control experiment and deactivate a random set of 10 routed experts (Figure 8).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.142, 0.487, 0.882, 0.499], [0.118, 0.502, 0.725, 0.514]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "Suppressing random experts does afect some of the answers too, and changes about 9% of the previously refused answers.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.725, 0.502, 0.882, 0.514], [0.118, 0.517, 0.828, 0.529]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "This is much smaller than the 40% efect we measured for deactivating distinctive experts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.828, 0.517, 0.882, 0.529], [0.118, 0.532, 0.707, 0.544]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "About 1% of previously non-refused answers change in the opposite direction and get refused, indicating that refusal is easier to break than to enforce.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.707, 0.532, 0.882, 0.544], [0.118, 0.547, 0.882, 0.559], [0.118, 0.562, 0.275, 0.575]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "3.2Validating Distinctive Expert Suppression with a Larger Dataset", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.118, 0.595, 0.793, 0.61]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "Notably, although we identifed the set of distinctive experts using prompts constructed from a fxed question template, suppressing these experts reduces refusal likelihood across a broader range of prompts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.118, 0.62, 0.882, 0.633], [0.118, 0.636, 0.803, 0.648]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": "For example, within a set of 1,360 prompts on sensitive topics ([16, 17]) we observe that 52% of previously refused prompts fip in the desired direction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.803, 0.636, 0.882, 0.648], [0.118, 0.651, 0.882, 0.663], [0.118, 0.666, 0.387, 0.678]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 210, "edu_l1_label": "IOS"}, {"txt": "In contrast, the LLM changes its answer to refusal for only about 1.3% of the prompts that did not get refused before.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.387, 0.666, 0.882, 0.678], [0.118, 0.681, 0.496, 0.693]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 211, "edu_l1_label": "IOS"}, {"txt": "This validates that the experts identifed using fTRI correspond to the general concept of answer refusal and are not merely specifc to the prompt format used in our dataset to trigger the behavior in fTRI.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.496, 0.681, 0.882, 0.693], [0.118, 0.696, 0.882, 0.708], [0.118, 0.711, 0.448, 0.724]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 212, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.494, 0.937, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 213, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.296, 0.084, 0.704, 0.316]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 3, "global_sentence_id": 214, "edu_l1_label": "EDU_O"}, {"txt": "Figure 9: Expert suppression results, as shown in Figure 8, but applied for the sensitive topics dataset.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.128, 0.33, 0.865, 0.347]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 6, "global_sentence_id": 215, "edu_l1_label": "EDU_O"}, {"txt": "3.3Stimulating Distinctive Experts", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.118, 0.368, 0.473, 0.383]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 4, "global_sentence_id": 216, "edu_l1_label": "IOS"}, {"txt": "Instead of suppressing specifc experts by zeroing their respective weights in the router functions, we can also stimulate their activation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.118, 0.393, 0.882, 0.406], [0.118, 0.408, 0.335, 0.421]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 217, "edu_l1_label": "IOS"}, {"txt": "In this case, the modifcation to the router function is more complex, as for many tokens the alignment-specifc experts are not already among the top-k selected experts of their layer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.335, 0.408, 0.882, 0.421], [0.118, 0.423, 0.881, 0.436]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 218, "edu_l1_label": "IOS"}, {"txt": "Therefore, we implemented the following approach:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.142, 0.438, 0.516, 0.451]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 219, "edu_l1_label": "IOS"}, {"txt": " In all layers we added the stimulated experts to the top-k selected experts, irrespective of their weight.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.516, 0.438, 0.882, 0.451], [0.118, 0.453, 0.518, 0.466]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 220, "edu_l1_label": "IOS"}, {"txt": "In order to keep the number of selected experts constant, we removed the lowest of the top-k selected experts with respect to their weights, if necessary.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.518, 0.453, 0.882, 0.466], [0.118, 0.469, 0.882, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "Then, we set the weight of the stimulated expert to the maximum value of all weights and renormalize.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.118, 0.484, 0.882, 0.496]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "This approach guarantees that the stimulated experts always contribute to the overall model response while keeping undesired side-efects from deactivating other top-k selected experts at a minimum.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.118, 0.499, 0.882, 0.511], [0.118, 0.514, 0.771, 0.526]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.311, 0.54, 0.689, 0.73]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 9, "global_sentence_id": 224, "edu_l1_label": "EDU_O"}, {"txt": "0 - REFUSED 1 - ALIGNED2 - REASONED New Classification", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.368, 0.739, 0.609, 0.763]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 8, "global_sentence_id": 225, "edu_l1_label": "EDU_O"}, {"txt": "Figure 10: Result in analogy to Figure 8, however stimulating instead of suppressing the distinctive experts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.115, 0.777, 0.885, 0.798]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 226, "edu_l1_label": "EDU_O"}, {"txt": "To test the efect, we stimulated the alignment-specifc experts and looked at the transitions between the three classes 0-REFUSED, 1-ALIGNED and 2-REASONED.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.142, 0.815, 0.882, 0.827], [0.118, 0.83, 0.534, 0.842]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "We found that the fraction of refused responses increased to about 10% for previously aligned responses, while the unwanted efect in the opposite direction is only 3%.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.534, 0.83, 0.882, 0.842], [0.118, 0.845, 0.882, 0.858], [0.118, 0.86, 0.195, 0.873]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 228, "edu_l1_label": "IOS"}, {"txt": "Previously reasoned answers got reduced by 17%, most of them changed to 1-ALIGNED and 3.6% changed into the 0-REFUSED class as desired (Figure 10).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.195, 0.86, 0.882, 0.873], [0.118, 0.875, 0.522, 0.888]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 229, "edu_l1_label": "IOS"}, {"txt": "Overall, stimulating the alignment-specifc experts had a less pronounced efect compared to suppression,", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.142, 0.89, 0.882, 0.903]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 230, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.492, 0.938, 0.509, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 231, "edu_l1_label": "EDU_O"}, {"txt": "but the efect was still systematic.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.118, 0.094, 0.364, 0.107]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 232, "edu_l1_label": "IOS"}, {"txt": "In particular, changing the direction of expert tuning also inverted the trend in which the answers changed, as expected.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.364, 0.094, 0.882, 0.107], [0.118, 0.109, 0.469, 0.122]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 233, "edu_l1_label": "IOS"}, {"txt": "3.4Application to other areas of LLM behavior:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.118, 0.142, 0.614, 0.158]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 234, "edu_l1_label": "IOS"}, {"txt": "Changing R1’s ReasoningLanguage", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.614, 0.142, 0.883, 0.158], [0.168, 0.16, 0.259, 0.175]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 235, "edu_l1_label": "IOS"}, {"txt": "Having shown that expert tuning does modify the LLM behavior in regard to its alignment, we wondered if it is just a special case.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.118, 0.185, 0.882, 0.198], [0.118, 0.2, 0.3, 0.213]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 236, "edu_l1_label": "IOS"}, {"txt": "It could be argued that R1’s refusal to answer might not be an innate property,because alignment against harmful responses of R1 - and actually most LLMs - is performed in fnal stages of the training process [6].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.3, 0.2, 0.882, 0.213], [0.118, 0.215, 0.882, 0.228], [0.118, 0.23, 0.302, 0.243]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": "Therefore, we wanted to test if the MoTE method generalizes to other behaviors.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.302, 0.23, 0.882, 0.243]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 238, "edu_l1_label": "IOS"}, {"txt": "Our test candidate was the language that R1 uses for reasoning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.142, 0.246, 0.602, 0.258]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 239, "edu_l1_label": "IOS"}, {"txt": "The rationale for this choice is a) that R1’s thinking process, which emerged during a reinforcement learning phase [6], is an intrinsic, characteristicbehavior and b) that another version of the model, DeepSeek-Zero, showed reasoning language mixing and thus poor readability during its reasoning steps.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.602, 0.246, 0.882, 0.258], [0.118, 0.261, 0.882, 0.273], [0.118, 0.276, 0.882, 0.288], [0.118, 0.291, 0.454, 0.303]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 240, "edu_l1_label": "IOS"}, {"txt": "The latter indicates that the high consistency of R1 in using either English or Chinese as its reasoning language has been deeply trained into the model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.454, 0.291, 0.882, 0.303], [0.118, 0.306, 0.75, 0.319]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 241, "edu_l1_label": "IOS"}, {"txt": "Successfully using MoTE to tune aspects of this fundamental behavior would be a strong indication for a broader applicability of the method.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.75, 0.306, 0.882, 0.319], [0.118, 0.321, 0.883, 0.334], [0.118, 0.336, 0.223, 0.349]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 242, "edu_l1_label": "IOS"}, {"txt": "To test this hypothesis, we created a new dataset of 600 prompts that trigger R1 to reason either in Chinese (200) or in English (400).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.142, 0.351, 0.882, 0.364], [0.118, 0.366, 0.362, 0.379]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 243, "edu_l1_label": "IOS"}, {"txt": "With fTRI, we were able to identify the most distinctive experts active when the model chooses to reason in English.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.362, 0.366, 0.882, 0.379], [0.118, 0.381, 0.446, 0.394]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 244, "edu_l1_label": "IOS"}, {"txt": "The corresponding fTRI scan is shown in (Figure 11).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.446, 0.381, 0.845, 0.394]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 245, "edu_l1_label": "IOS"}, {"txt": "The most distinctive expert is (expert-id, layer-id) = (143, 4), which is close to the input embedding layer and colored in yellow.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.845, 0.381, 0.882, 0.394], [0.118, 0.397, 0.882, 0.409], [0.118, 0.412, 0.241, 0.424]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 246, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.111, 0.444, 0.891, 0.647]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 1, "global_sentence_id": 247, "edu_l1_label": "EDU_O"}, {"txt": "Figure 11: fTRI map of diferential activations for reasoning in English and Chinese, respectively. The most distinctive experts are highlighted with red circles, their exact coordinates are listed in appendix A.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.115, 0.672, 0.889, 0.705]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 4, "global_sentence_id": 248, "edu_l1_label": "EDU_O"}, {"txt": "After tuning down the top 10 distinctive experts for choosing the reasoning language English, we reprocessed the dataset and indeed, the model changed its behavior to reason in Chinese more often (see Figure 12).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.142, 0.723, 0.882, 0.736], [0.118, 0.738, 0.882, 0.751], [0.118, 0.753, 0.197, 0.766]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 249, "edu_l1_label": "IOS"}, {"txt": "For 10.75% of the prompts within our dataset, R1 changed its behavior from reasoning in English to reasoning in Chinese.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.197, 0.753, 0.882, 0.766], [0.118, 0.768, 0.33, 0.781]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 250, "edu_l1_label": "IOS"}, {"txt": "The efect is smaller compared to the reduction in answer-refusal measured above, which indicates that more elaborate ways of tuning experts may be required to get a bigger efect.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.33, 0.768, 0.882, 0.781], [0.118, 0.783, 0.882, 0.796]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 251, "edu_l1_label": "IOS"}, {"txt": "Still, it does indicate a broader applicability of the fTRI / MoTE method.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.118, 0.799, 0.647, 0.811]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 252, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.491, 0.937, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 253, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.256, 0.09, 0.398, 0.104]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 254, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.572, 0.09, 0.714, 0.104]]}]}, "tags": ["header"], "label": "O", "web_segment_id": -1, "global_sentence_id": 255, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.113, 0.088, 0.867, 0.378]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 256, "edu_l1_label": "EDU_O"}, {"txt": "Figure 12: Change in the reasoning language from English to Chinese.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.246, 0.39, 0.752, 0.408]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 257, "edu_l1_label": "EDU_O"}, {"txt": "To verify that the specific selection of experts is crucial for triggering change in the reasoning language, we tested the LLM by switching off 10 unrelated experts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.115, 0.422, 0.888, 0.468]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "In that case,we did not observe any switching of language apart from one accidental flip from English to Chinese, i.e.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.115, 0.422, 0.888, 0.468]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "0.25%.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.115, 0.422, 0.888, 0.468]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "The prompts used to trigger the model to use different languages for thinking tak the_template_format:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.471, 0.888, 0.576]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": " “What is {number_a}plus {number.b}equal to?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.471, 0.888, 0.576]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 262, "edu_l1_label": "IOS"}, {"txt": "” with the optional extension“Please make sure to answerin {!anyuage}.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.471, 0.888, 0.576]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 263, "edu_l1_label": "IOS"}, {"txt": "\", where language is set to either English or Chinese.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.471, 0.888, 0.576]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "We duplicate these prompt templates by asking the same questions in Chinese.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.471, 0.888, 0.576]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 265, "edu_l1_label": "IOS"}, {"txt": "To boost the dataset size, we varied the prompt template to all combinations of two numbers from 1 to 10.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.471, 0.888, 0.576]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": "Here is an example that illustrates the resulting prompts and the effect on the model behavior.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.471, 0.888, 0.576]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 267, "edu_l1_label": "IOS"}, {"txt": "In this case we successfully tuned the model to switch the reasoning language from Englishto Chinese.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.471, 0.888, 0.576]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "OldBehavior", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.232, 0.596, 0.325, 0.61]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 9, "global_sentence_id": 269, "edu_l1_label": "EDU_O"}, {"txt": "Q:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.249, 0.617, 0.266, 0.634]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 270, "edu_l1_label": "EDU_O"}, {"txt": " 10加5等于多少?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.266, 0.617, 0.398, 0.633]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 271, "edu_l1_label": "EDU_O"}, {"txt": "请确保用英语回答。", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.398, 0.617, 0.553, 0.633]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 272, "edu_l1_label": "EDU_O"}, {"txt": "A:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.247, 0.635, 0.7, 0.664]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 4, "global_sentence_id": 273, "edu_l1_label": "EDU_O"}, {"txt": " <think> Okay, the user is asking \"10加5等于多少?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.247, 0.635, 0.7, 0.664]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 4, "global_sentence_id": 274, "edu_l1_label": "EDU_O"}, {"txt": "\"which translates to \"What is 10 plus 5?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.247, 0.635, 0.7, 0.664]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 4, "global_sentence_id": 275, "edu_l1_label": "EDU_O"}, {"txt": "\" [...]", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.247, 0.635, 0.7, 0.664]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 4, "global_sentence_id": 276, "edu_l1_label": "EDU_O"}, {"txt": "NewBehavior", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.233, 0.687, 0.332, 0.701]]}]}, "tags": ["title"], "label": "O", "web_segment_id": 7, "global_sentence_id": 277, "edu_l1_label": "EDU_O"}, {"txt": "Q:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.249, 0.708, 0.266, 0.725]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 8, "global_sentence_id": 278, "edu_l1_label": "EDU_O"}, {"txt": " 10加5等于多少?", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.266, 0.708, 0.398, 0.724]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 8, "global_sentence_id": 279, "edu_l1_label": "EDU_O"}, {"txt": "请确保用英语回答", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.398, 0.708, 0.537, 0.724]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 8, "global_sentence_id": 280, "edu_l1_label": "EDU_O"}, {"txt": "A:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.248, 0.724, 0.702, 0.739]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 281, "edu_l1_label": "EDU_O"}, {"txt": "<think>嗯,用户问的是10加5等于多少,而且要求用英语回", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.248, 0.724, 0.702, 0.739]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 282, "edu_l1_label": "EDU_O"}, {"txt": "答。", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.281, 0.739, 0.626, 0.755]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 283, "edu_l1_label": "IOS"}, {"txt": "首先,我需要确认问题本身是否正确[", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.281, 0.739, 0.626, 0.755]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 284, "edu_l1_label": "IOS"}, {"txt": "Figure 13:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.216, 0.787, 0.781, 0.804]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 6, "global_sentence_id": 285, "edu_l1_label": "EDU_O"}, {"txt": " Exemplary shift of the reasoning language from English toChinese.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.216, 0.787, 0.781, 0.804]]}]}, "tags": ["text"], "label": "figure_title", "web_segment_id": 6, "global_sentence_id": 286, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.491, 0.937, 0.51, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 287, "edu_l1_label": "EDU_O"}, {"txt": "3.5Impact on General Model Quality", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.113, 0.089, 0.498, 0.108]]}]}, "tags": ["figure_caption"], "label": "title2", "web_segment_id": 6, "global_sentence_id": 288, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], 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The performance has been evaluated for the MT-Bench dataset [18], numerical scores are listed in appendix B.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.114, 0.455, 0.889, 0.502]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 2, "global_sentence_id": 290, "edu_l1_label": "EDU_O"}, {"txt": "To gain a preliminary understanding of how MoTE infuences the overall quality of the model, we compared benchmark results with and without deactivating alignment specifc experts (Figure 14).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11500000, "bbox": [[0.118, 0.521, 0.882, 0.534], [0.118, 0.536, 0.754, 0.549]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 291, "edu_l1_label": "IOS"}, {"txt": "We utilized MTBench, a widely recognized benchmark for assessing LLM performance in 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found that deactivating experts that are distinctive for refusal of sensitive or harmful questions does not degrade the benchmark results.Rather, we got indications of increased model performance, which surprised us somewhat.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.142, 0.612, 0.882, 0.624], [0.118, 0.627, 0.882, 0.639], [0.118, 0.642, 0.286, 0.654]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 294, "edu_l1_label": "IOS"}, {"txt": "Drawing strong conclusions seems a bit too early for us, as the efect should be verifed across a larger set of benchmarks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.286, 0.642, 0.882, 0.654], [0.118, 0.657, 0.416, 0.669]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 295, "edu_l1_label": "IOS"}, {"txt": "4Conclusion", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.118, 0.694, 0.283, 0.712]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 5, "global_sentence_id": 296, "edu_l1_label": "BOS"}, {"txt": "The experimental results support our hypothesis that certain traits — such as the alignment behavior — ofMoE models with many experts such as R1 are at least partially encoded within small subsets of experts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.118, 0.726, 0.882, 0.739], [0.118, 0.741, 0.882, 0.754]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 297, "edu_l1_label": "IOS"}, {"txt": "We introduced a simple yet efective analytical approach, fTRI, to identify such expert subsets by targeting them with parameterized prompt patterns whose parameter combinations elicit several distinct activation patterns.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.118, 0.756, 0.882, 0.769], [0.118, 0.771, 0.882, 0.784], [0.118, 0.786, 0.181, 0.799]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 298, "edu_l1_label": "IOS"}, {"txt": "By altering expert selections — and thereby actively modifying routing mechanisms in the LLM— we can suppress or stimulate specifc expert groups, leading to corresponding changes in model behavior.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.181, 0.786, 0.882, 0.799], [0.118, 0.801, 0.882, 0.814]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 299, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11900000, "bbox": [[0.491, 0.936, 0.51, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 300, "edu_l1_label": "EDU_O"}, {"txt": "Acknowledgements", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.115, 0.087, 0.34, 0.108]]}]}, "tags": ["title"], "label": "content", "web_segment_id": 1, "global_sentence_id": 301, "edu_l1_label": "EDU_O"}, {"txt": "谢谢, vielen Dank, and thanks to DeepSeek for their innovative spirit and for making the excellent V3 andR1 models available. Without these models, this research would not have been possible yet. Also thanks to the OpenSource community, particularly the teams around vLLM and HuggingFace, and all other OSS contributors. Thanks to Lennard-Schiefelbein, TNG, for the speedy support in performing the benchmark runs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12100000, "bbox": [[0.118, 0.12, 0.882, 0.134]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 302, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12200000, "bbox": [[0.49, 0.936, 0.51, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": -1, "global_sentence_id": 303, "edu_l1_label": "EDU_O"}, {"txt": "References", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.118, 0.09, 0.241, 0.108]]}]}, "tags": ["title"], "label": "reference", "web_segment_id": 1, "global_sentence_id": 304, "edu_l1_label": "EDU_O"}, {"txt": "[1]Leo Gao et al.", "language": 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# Mixture of Tunable Experts - Behavior Modification of DeepSeek-R1 at Inference Time ## Abstract ## 1Introduction ## 2Technical Approach ### 2.1Analyzing Expert Activation ### 2.2 Multidimensional Prompt Sensitivity Analysis using behavior-specifc Dataset Generation ### 2.3Activation Pattern Understanding / Insights ### 2.4Identifcation of Distinctive Experts ## 3Results ### 3.1Suppressing Distinctive Experts ### 3.2Validating Distinctive Expert Suppression with a Larger Dataset ### 3.3Stimulating Distinctive Experts ### 3.4Application to other areas of LLM behavior:Changing R1’s ReasoningLanguage ### 3.5Impact on General Model Quality ## 4Conclusion ## Appendix ### AExact list of top-10 distinctive experts #### Distinctive experts for refused prompts #### Distinctive experts for reasoning in English ### BBenchmark Raw Data
ccb9632d-e66c-469a-b3e3-952925accb6a
web
test/raw_web_htmls/ccb9632d-e66c-469a-b3e3-952925accb6a.html
https://scitechdaily.com/this-superfood-youve-never-heard-of-could-change-the-way-we-eat/
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# This Superfood You’ve Never Heard of Could Change the Way We Eat ## Challenges in Large-Scale Production ## Enhancing Production and Consumer Appeal
3ae1f62b-1df5-44ad-83a2-53c40e904b59
pdf
test/raw_pdf_files/3ae1f62b-1df5-44ad-83a2-53c40e904b59.pdf
null
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"global_sentence_id": 23, "edu_l1_label": "IOS"}, {"txt": "在谈判阶段,创新药的谈判成功率超过了90%较总体成功率高16 个百分点。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.58, 0.509, 0.916, 0.522], [0.362, 0.525, 0.589, 0.536]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "在药品注册审批制度改革、医保目录动态调整等政策的加持下,近年来我国医药创新蓬勃发展,在完全公平竞争的前提下,91种新增药品中,国内企业的有65 种,占比超过了70%,并且呈逐年上升之势,首个晚期宫颈癌的双靶点免疫治疗药物、首个20 外显子插入突变的晚期肺癌靶向药都顺利谈判纳入目录,反映出我国医药创新水平的持续发展和进步。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.589, 0.525, 0.939, 0.536], [0.362, 0.54, 0.933, 0.553], [0.362, 0.555, 0.941, 0.567], [0.362, 0.571, 0.939, 0.583], [0.362, 0.586, 0.899, 0.598]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "2017年仅有9%的药品选择在中国首发上市,2023 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"web_segment_id": 0, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "7 轮调整,累计将149 种创新药纳入医保目录。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.412, 0.677, 0.762, 0.689]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "监测表明,截至2024 年10 月,医保基金对协议期内药品支付累计超3500 亿元,带动相关销售超过5100亿元。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.762, 0.677, 0.939, 0.689], [0.362, 0.694, 0.939, 0.706], [0.362, 0.708, 0.412, 0.72]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 0, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "今年前10 月医保基金对协议期内谈判药品支付约920 亿元,按相同周期计算,是2019 年的21 倍。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.412, 0.708, 0.939, 0.72], 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"IOS"}, {"txt": "在今年谈判/竞价环节,共有117 种目录外药品参加,其中89 种谈判/竞价成功,成功率76%、平均降价63%,总体与2023 年基本相当。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.46, 0.062, 0.943, 0.074], [0.057, 0.077, 0.574, 0.089]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "据国家医保局介绍,今年国家医保药品目录调整程序在总体保持稳定的基础上,进一步优化了工作流程、规范了工作机制、提高了工作效率,确保目录调整公开透明、科学规范。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.574, 0.077, 0.942, 0.089], [0.057, 0.093, 0.942, 0.105], [0.057, 0.108, 0.107, 0.12]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 1, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "特别是在同企业沟通上,更追求双向奔赴。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.107, 0.108, 0.425, 0.12]]}]}, 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贺文斌,在此保证(i)本研究报告中的意见准确反映了我们对本研究中提及的任何或所有目标公司或上市公司的个人观点,并且(ii)我的报酬中没有任何部分与本研究报告中表达的具体建议或观点直接或间接相关;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.213, 0.97, 0.393]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 105, "edu_l1_label": "EDU_O"}, {"txt": "及就此报告中所讨论目标公司的证券,我们(包括我们的家属)在其中均不持有任何财务利益。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.213, 0.97, 0.393]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 106, "edu_l1_label": "EDU_O"}, {"txt": "我和我的家属(我已经告知他们)将不会在本研究报告发布后的3 个工作日内交易此研究报告所讨论目标公司的证券。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.213, 0.97, 0.393]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 107, "edu_l1_label": "EDU_O"}, {"txt": "I, Wenbin He, certify that (i) the views expressed in this research report accurately reflect my personal views about anyor all of the subject companies or issuers referred to in this research and (ii)no part of my compensation was, is or will be directly or indirectly related to the specific recommendations or vie ws expressed in this research report;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.213, 0.97, 0.393]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 108, "edu_l1_label": "EDU_O"}, {"txt": " and that I linduding members of my household) no financial interest in the security or securities of the subject companies disc and my household, whom I have already notified of this, will not deal in or trade any securities in respect of the issuer that I review within 3 business days after the research report is published. 我, 余文心,在此保证(i)本研究报告中的意见准确反映了我们对本研究中提及的任何或所有目标公司或上市公司的个人观点,并且(ii)我的报酬中没有任何部分与本研究报告中表达的具体建议或观点直接或间接相关;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.213, 0.97, 0.393]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 109, "edu_l1_label": "EDU_O"}, {"txt": "及就此报告中所讨论目标公司的证券,我们(包括我们的家属)在其中均不持有任何财务利益。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.213, 0.97, 0.393]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 110, "edu_l1_label": "EDU_O"}, {"txt": "我和我的家属(我已经告知他们)将不会在本研究报告发布后的3 个工作日内交易此研究报告所讨论目标公司的证券。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.213, 0.97, 0.393]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 111, "edu_l1_label": "EDU_O"}, {"txt": "I, Wenxin Yu, certify that (i) the views expressed in this research report accurately reflect my personal views about anyor all of the subject companies or issuers referred to in this research and (il o compensation was, is or will be directly or indirectly related to the spiic recom or views expressed in this research report;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.213, 0.97, 0.393]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 112, "edu_l1_label": "EDU_O"}, {"txt": " and that I cluding members of my household) ha interest in the security or securities of the subject companies distussed. I and whom I have already notified of this, will not deal in or trade any securities in of the issuer that I review within 3 business days after the research report is published.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.213, 0.97, 0.393]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 113, "edu_l1_label": "EDU_O"}, {"txt": "利益冲突披露Conflict of Interest Disclosures", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.411, 0.25, 0.424]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 17, "global_sentence_id": 114, "edu_l1_label": "EDU_O"}, {"txt": "海通国际及其某些关联公司可从事投资银行业务和/或对本研究中的特定股票或公司进行做市或持有自营头寸。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.03, 0.431, 0.594, 0.442]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 13, "global_sentence_id": 115, "edu_l1_label": "EDU_O"}, {"txt": "就本研究报告而言,以下是有关该等关系的披露事项(以下披露不能保证及时无遗漏,如需了解及时全面信息,请发邮件至[email protected])", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.594, 0.431, 0.964, 0.442], [0.03, 0.446, 0.441, 0.457]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 13, "global_sentence_id": 116, "edu_l1_label": "EDU_O"}, {"txt": "HTI and some of ts afflates may ergage in hvstment baning and as as amainarket or trading positions of certain stocks or companies in this research report.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.025, 0.461, 0.969, 0.503]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 117, "edu_l1_label": "EDU_O"}, {"txt": "As far as this research report is concerned, the following are the disclosure matterelat relationship (As the following disdosure does not ensure timeiness and completens send an email to [email protected] if timely and comprehensive information is needed).", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.025, 0.461, 0.969, 0.503]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 11, "global_sentence_id": 118, "edu_l1_label": "EDU_O"}, {"txt": "NoDisclosure", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.028, 0.519, 0.092, 0.531]]}]}, "tags": ["title"], "label": "O", "web_segment_id": 20, "global_sentence_id": 119, "edu_l1_label": "EDU_O"}, {"txt": "评级定义(从2020 年7 月1 日开始执行):", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.03, 0.549, 0.265, 0.561]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 19, "global_sentence_id": 120, "edu_l1_label": "EDU_O"}, {"txt": "海通国际(以下简称“HTI” )采用相对评级系统来为投资者推荐我们覆盖的公司:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.03, 0.565, 0.429, 0.577], [0.03, 0.58, 0.05, 0.592]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 2, "global_sentence_id": 121, "edu_l1_label": "EDU_O"}, {"txt": "优于大市、中性或弱于大市。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.05, 0.58, 0.198, 0.592]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 2, "global_sentence_id": 122, "edu_l1_label": "EDU_O"}, {"txt": "投资者应仔细阅读HTI 的评级定义。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.198, 0.58, 0.384, 0.592]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 2, "global_sentence_id": 123, "edu_l1_label": "EDU_O"}, {"txt": "并且HT I发布分析师观点的完整信息,投资者应仔细阅读全文而非仅看评级。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.384, 0.58, 0.431, 0.593], [0.03, 0.595, 0.378, 0.607]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 2, "global_sentence_id": 124, "edu_l1_label": "EDU_O"}, {"txt": "在任何情况下,分析师的评级和研究都不能作为投资建议。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.378, 0.595, 0.428, 0.607], [0.03, 0.611, 0.282, 0.622]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 2, "global_sentence_id": 125, "edu_l1_label": "EDU_O"}, {"txt": "投资者的买卖股票的决策应基于各自情况(比如投资者的现有持仓)以及其他因素。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.282, 0.611, 0.428, 0.622], [0.03, 0.627, 0.315, 0.638]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 2, 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{"txt": "根据FINRA/NYS E 的评级分布规则,我们会将中性评级划入持有这一类别。", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.402, 0.688, 0.429, 0.7], [0.03, 0.705, 0.376, 0.715]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 6, "global_sentence_id": 130, "edu_l1_label": "EDU_O"}, {"txt": "弱于大市,未来12-18 个月内预期相对基准指数跌幅在10%以上,基准定义如下", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.03, 0.719, 0.429, 0.73], [0.03, 0.735, 0.04, 0.746]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 8, "global_sentence_id": 131, "edu_l1_label": "EDU_O"}, {"txt": "各地股票基准指数:", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.03, 0.75, 0.128, 0.761]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 132, "edu_l1_label": "EDU_O"}, {"txt": "日本 – TOPIX, 韩国 – KOSPI, 台湾 – TAIEX, 印度 – Nifty100, 美国 – SP500;", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.128, 0.75, 0.43, 0.761], [0.03, 0.765, 0.081, 0.778]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 133, "edu_l1_label": "EDU_O"}, {"txt": " 其他所有中国概念股 – MSCI China.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.081, 0.765, 0.257, 0.778]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 5, "global_sentence_id": 134, "edu_l1_label": "EDU_O"}, {"txt": "Ratings Definitions (from 1 Jul 2020):", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.781, 0.235, 0.794]]}]}, "tags": ["title"], "label": "O", "web_segment_id": 14, "global_sentence_id": 135, "edu_l1_label": "EDU_O"}, {"txt": "Haitong International uses a relative rating system using Outperform , Neutral, or Underperform for recommending the stocks we cover toinvestors.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.795, 0.436, 0.896]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 0, "global_sentence_id": 136, "edu_l1_label": "EDU_O"}, {"txt": "Investors should carefully read the definitions of all ratings used in Haitong International Research.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.795, 0.436, 0.896]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 0, "global_sentence_id": 137, "edu_l1_label": "EDU_O"}, {"txt": "In addition, since Haitong Internationa l Research contains more complete information concerning the analyst's views, investors should carefully read Haitong International Research,in_its entirety, and not infer the contents from the rating alone.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.795, 0.436, 0.896]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 0, "global_sentence_id": 138, "edu_l1_label": "EDU_O"}, {"txt": "In any case,", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.027, 0.795, 0.436, 0.896]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 0, "global_sentence_id": 139, "edu_l1_label": "EDU_O"}, {"txt": "评级分布Rating Distribution", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.435, 0.549, 0.575, 0.562]]}]}, "tags": ["figure_caption"], "label": "O", "web_segment_id": 10, "global_sentence_id": 140, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "chinese", "position": {"pdf_position": 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awholly owned subsidiary of Haitong Intemational Secu Limited |\"HTISGL\"] and a licensed corporation to carry on Type regulated acthity securities) for the purpose ofthe Secunties and Futures Ordinance (Cap.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.027, 0.216, 0.97, 0.258]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 7, "global_sentence_id": 226, "edu_l1_label": "EDU_O"}, {"txt": "571) of assistance of Haitong International (Japan) K.K.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.027, 0.216, 0.97, 0.258]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 7, "global_sentence_id": 227, "edu_l1_label": "EDU_O"}, {"txt": "(\"HTUKK”), a wholly owned subsidiary of HTIS GL and which is regulated as an Investment Adviser by the Kanto Finance Bureau of Japan.", "language": "chinese", "position": 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Securities Group of Com(“HTISG”) on_22December 2016.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.027, 0.261, 0.971, 0.319]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 8, "global_sentence_id": 230, "edu_l1_label": "EDU_O"}, {"txt": "All the research reports are globally branded under the name Haitong Internationa and approved for distribution by Haitong International Securities Compainy Limited (“HTISCL”) and/or any othermembers within HTISG in their respective jurisdictions.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.029, 0.322, 0.961, 0.349]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 13, "global_sentence_id": 231, "edu_l1_label": "EDU_O"}, {"txt": "The information and opinions contained in this research report have been complier at from sources believed to be reliable and in good faith but no reprentation or express or implied, is made by HTIRL, HTISCL, HSIPL, HTUKK or any other members within HTISG from which this research report may be received, as to their accuracy,completeness or correctness.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.025, 0.353, 0.971, 0.498]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 232, "edu_l1_label": "EDU_O"}, {"txt": "All opinionsexpressed herein are as of the date of this research report and are subject to ch notice.", "language": "chinese", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.025, 0.353, 0.971, 0.498]]}]}, "tags": ["text"], "label": "O", "web_segment_id": 1, "global_sentence_id": 233, "edu_l1_label": "EDU_O"}, {"txt": "This research report is for information purpose only.", "language": "chinese", "position": {"pdf_position": [{"page_number": 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# 2024 年医保目录调整点评:鼓励真创新、全球新,真金白银助力医药新质生产力发展 ##  行业新闻:2024 年11 月27 日,国家医保局公布2024 年国家基本医疗保险、工伤保险和生育保险药品目录 ##  点评: ###  持续纳新,持续为患者减负。 ###  医保目录调整大力支持药品创新,助力新质生产力发展。 ###  医保基金“真金白银”支持创新药发展,极大激发了医药企业的创新积极性。 ### 谈判定价程序逐步规范,企业预期降幅更加合理。 ### 多项新举措,确保目录调整工作更好满足患者的临床需求。 ## 风险提示:创新药研发进展风险、医保基金支出增速下降风险、生物医药行业投融资下滑风险、医疗消费支出复苏不达预期风险。
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test/raw_web_htmls/5d6a7855-4419-4bc7-8e23-a4d031a515c1.html
https://mp.weixin.qq.com/s/v20GEvmgrZzPU1PYNSx9MQ
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842, "txt": ",用万字长文提炼了30条他们在2024年的初创企业构建原则。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[1]/span[3]"}]}, "tags": [], "label": "introduction", "web_segment_id": 39, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "“一月初为初创企业的生活提供了一个难得的清醒时刻——一个短暂的窗口,这时一切都焕然一新,前进的道路变得清晰,除了日历上写满的埋头苦干之外,别无他物。”", "language": "chinese", "position": {"atoms": [{"position_id": 844, "txt": "“一月初为初创企业的生活提供了一个难得的清醒时刻——一个短暂的窗口,这时一切都焕然一新,前进的道路变得清晰,除了日历上写满的埋头苦干之外,别无他物。”", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[2]/span"}]}, "tags": [], "label": "content", "web_segment_id": 40, "global_sentence_id": 3, "edu_l1_label": "BOS"}, {"txt": "以下为中文翻译,Enjoy(原文较长且有很多图片和context解释,故部分内容有顺序调整):", "language": "chinese", "position": {"atoms": [{"position_id": 846, "txt": "以下为中文翻译,Enjoy(原文较长且有很多图片和context解释,故部分内容有顺序调整):", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[3]/span"}]}, "tags": [], "label": "content", "web_segment_id": 41, "global_sentence_id": 4, "edu_l1_label": "IOS"}, {"txt": "1 你需要200%的改变以解锁极致的PMF", "language": "chinese", "position": {"atoms": [{"position_id": 848, "txt": "1 你需要200%的改变以解锁极致的PMF", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/section[1]/span/span"}]}, "tags": [], "label": "title1", "web_segment_id": 42, "global_sentence_id": 5, "edu_l1_label": "BOS"}, {"txt": "通常情况下,如果您正在做的事情没有获得很大的吸引力,那么您可能离成功不是 10% 的调整,而可能是 200% 的调整。", "language": "chinese", "position": {"atoms": [{"position_id": 850, "txt": "通常情况下,如果您正在做的事情没有获得很大的吸引力,那么您可能离成功不是 10% 的调整,而可能是 200% 的调整。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[5]/span"}]}, "tags": [], "label": "content", "web_segment_id": 43, "global_sentence_id": 6, "edu_l1_label": "IOS"}, {"txt": "Lattice 创始人 Jack Altman的PMF困境故事:", "language": "chinese", "position": {"atoms": [{"position_id": 852, "txt": "Lattice 创始人 Jack Altman的PMF困境故事:", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[6]/span"}]}, "tags": [], "label": "content", "web_segment_id": 44, 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"/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/ul[1]/li[4]/section/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 56, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "- Johnathan Nightingale,Raw Signal Group 的联合创始人", "language": "chinese", "position": {"atoms": [{"position_id": 886, "txt": "- Johnathan Nightingale,Raw Signal Group 的联合创始人", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/ul[1]/li[4]/section/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 56, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "我们处于混乱和控制的连续体的哪个位置?", "language": "chinese", "position": {"atoms": [{"position_id": 888, "txt": "我们处于混乱和控制的连续体的哪个位置?", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/ul[1]/li[5]/section/span"}]}, "tags": ["li"], "label": "content", "web_segment_id": 57, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "- Kareem Amin,Clay 的 CEO 兼联合创始人", "language": "chinese", "position": {"atoms": [{"position_id": 889, 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亿美元估值的成功战略的一部分。", "language": "chinese", "position": {"atoms": [{"position_id": 1442, "txt": "事实证明,这种方向上的调整是推动 Pilot 达到 12 亿美元估值的成功战略的一部分。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[139]/span"}]}, "tags": [], "label": "content", "web_segment_id": 243, "global_sentence_id": 333, "edu_l1_label": "IOS"}, {"txt": "您必须非常小心,不要过度适应您自己的经验。", "language": "chinese", "position": {"atoms": [{"position_id": 1444, "txt": "您必须非常小心,不要过度适应您自己的经验。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[140]/span"}]}, "tags": [], "label": "content", "web_segment_id": 244, "global_sentence_id": 334, "edu_l1_label": "IOS"}, {"txt": "您需要确保您销售的产品能够引起目标受众的共鸣。", "language": "chinese", "position": {"atoms": [{"position_id": 1445, "txt": "您需要确保您销售的产品能够引起目标受众的共鸣。", "x": "/html/body/div[2]/div[2]/div[2]/div/div[1]/div[2]/p[140]/span"}]}, "tags": [], "label": "content", "web_segment_id": 244, "global_sentence_id": 335, "edu_l1_label": "IOS"}, {"txt": "29 跳过书面备忘录——直接给您初创公司的律师打电话", "language": 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# 2024 年 30 条最佳初创公司构建原则(万字长文) ## 1 你需要200%的改变以解锁极致的PMF ## 2 创始人应用以下问题进行更严格的自我反思 ### 我今天所做的工作是否真正推动了公司走向成功?- Colin Zima,Omni 的 CEO 兼联合创始人 ### 最困难的部分是什么——我正在努力解决它吗?- Wes Kao,Maven 的前联合创始人 ### 我们是否因为惯性而追求这个产品方向,还是因为它确实是正确的?- Eilon Reshef,Gong 的 CPO 兼联合创始人 ### 我正在避免的对话是什么?- Johnathan Nightingale,Raw Signal Group 的联合创始人 ### 我们处于混乱和控制的连续体的哪个位置?- Kareem Amin,Clay 的 CEO 兼联合创始人 ## 3 寻找冲突以更快地获取背景信息(context) ## 4 在您的下一次产品评审(product review)中使用这 12 个问题 ## 5 确保你的早期员工是真正能落地干活的人 ## 6 控制你的年度计划(即使它被打乱) ## 7 用兴趣和能力的二维矩阵寻找创业想法 ## 8 挑战“专注做好一件事”的教条 ## 9 让你的高管独立思考问题 ## 10 避免只接受正面反馈 ## 11 除非很痛,不要过早招聘 ## 12 警惕围绕单一需求 ## 13 不要被客户投诉吓到  ## 14  将你的投资引荐人视为“投球教练” ## 15 超越数据本身,找到真正的关键指标 ## 16 在推荐电话中增加更多的严谨性 ## 17 你不需要重新发明品类,而是要重新定义品类 ## 18 投资于10分钟(临时)经理 ## 19 保持一定的深度战略思考空间 ## 20 找到关键的增长杠杆 ## 21 加速前先确认方向 ## 22 尽快建立数据化体系 ## 23 自下而上的建立用户社群(而非传统的top-down) ## 24 从内在出发构建组织结构 ## 25 跨领域学习营销 ## 26 扩张时,思考“棉花糖”问题 ## 27 销售:能一次搞定,不要2次 ## 28 构建能引起客户共鸣的东西——而非自嗨 ## 29 跳过书面备忘录——直接给您初创公司的律师打电话 ## 30 破坏性创新的陷阱
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# 普通人怎样用起来 DeepSeek ? ## 一、DeepSeek的“自我觉醒”:AI领域的范式革命 ## 二、开源社区的狂欢:消费级硬件跑出实验室级AI ## 三、当DeepSeek评论自己:AI主播Agent 框架 ### 技术亮点: #### 双主播动态交互:主播A和主播B分别用不同的AI模型生成语言,实时生成观点碰撞 #### 可以多平台同步直播推流 #### 可以喂实时信息流 比如微博或者B站最热门话题,从而进行评论 #### 多模态控制,主播形象可替换:通过prompt工程调整语音语调(从央视主播到二次元萌妹),和肢体动作同步 #### 可添加事实核查机制:当模型输出存疑时,系统自动验证 ### 颠覆性意义: ## 四、深度求索的野望:通用人工智能的中国路径
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{"entry_id": "4a98e5b3-93d2-4c05-89b5-2102089c2af0", "infos": [{"txt": "CONCEPTVAE:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.135, 0.124, 0.317, 0.14]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 0, "edu_l1_label": "BOT"}, {"txt": " SELF-SUPERVISED FINE-GRAINED CONCEPT", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 0, "bbox": [[0.317, 0.124, 0.863, 0.14]]}]}, "tags": ["title"], "label": "article_title", "web_segment_id": 1, "global_sentence_id": 1, "edu_l1_label": "BOT"}, {"txt": "DISENTANGLEMENT FROM 2D ECHOCARDIOGRAPHIES", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 100000, "bbox": [[0.172, 0.15, 0.825, 0.165]]}]}, "tags": ["title"], "label": "author", "web_segment_id": 2, "global_sentence_id": 2, "edu_l1_label": "EDU_O"}, {"txt": "S707운eLELAO.so] IASCSTO.70sZ.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 200000, "bbox": [[0.029, 0.273, 0.052, 0.646]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 3, "global_sentence_id": 3, "edu_l1_label": "EDU_O"}, {"txt": ":AIXTe", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 200000, "bbox": [[0.052, 0.273, 0.051, 0.701]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 3, "global_sentence_id": 4, "edu_l1_label": "EDU_O"}, {"txt": "Costin F. Ciusdel*, Alex Serban", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.18, 0.234, 0.407, 0.242]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 4, "global_sentence_id": 5, "edu_l1_label": "EDU_O"}, {"txt": "Foundational Technologies", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 300000, "bbox": [[0.201, 0.248, 0.377, 0.257]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 5, "global_sentence_id": 6, "edu_l1_label": "EDU_O"}, {"txt": "Siemens SRL,Brasov, Romania", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 400000, "bbox": [[0.184, 0.262, 0.393, 0.27]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 6, "global_sentence_id": 7, "edu_l1_label": "EDU_O"}, {"txt": "[email protected]", "language": "english", "position": {"pdf_position": 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0.257]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 10, "global_sentence_id": 11, "edu_l1_label": "EDU_O"}, {"txt": "Princeton, NJ, USA", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 900000, "bbox": [[0.586, 0.262, 0.713, 0.27]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 11, "global_sentence_id": 12, "edu_l1_label": "EDU_O"}, {"txt": "[email protected]", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1000000, "bbox": [[0.471, 0.277, 0.829, 0.284]]}]}, "tags": ["text"], "label": "author", "web_segment_id": 12, "global_sentence_id": 13, "edu_l1_label": "EDU_O"}, {"txt": "ABSTRACT", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.452, 0.353, 0.547, 0.364]]}]}, "tags": ["title"], "label": "abstract", "web_segment_id": 13, "global_sentence_id": 14, "edu_l1_label": "BOS"}, {"txt": "While traditional self-supervised learning methods improve performance and robustness across vari-ous medical tasks, they rely on single-vector embeddings that may not capture fine-grained concepts such as anatomical structures or organs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.176, 0.376, 0.824, 0.381], [0.175, 0.391, 0.823, 0.398], [0.176, 0.405, 0.432, 0.411]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 15, "edu_l1_label": "IOS"}, {"txt": "The ability to identify such concepts and their characteristics without supervision has the potential to improve pre-training methods, and enable novel applications such as fine-grained image retrieval and concept-based outlier detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.432, 0.405, 0.823, 0.412], [0.176, 0.419, 0.823, 0.425], [0.176, 0.432, 0.647, 0.439]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 16, "edu_l1_label": "IOS"}, {"txt": "In this paper, we introduce ConceptVAE, a novel pre-training framework that detects and disentangles fine-grained concepts from their style characteristics in a self-supervised manner.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.647, 0.432, 0.823, 0.439], [0.176, 0.444, 0.823, 0.453], [0.176, 0.459, 0.574, 0.467]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 17, "edu_l1_label": "IOS"}, {"txt": "We present a suite of loss terms and model architecture primitives designed to discretise input data into a preset number of concepts along with their local style.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.574, 0.459, 0.822, 0.467], [0.176, 0.475, 0.823, 0.481], [0.176, 0.487, 0.315, 0.494]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 18, "edu_l1_label": "IOS"}, {"txt": "We validate ConceptVAE both qualitatively and quantitatively, demonstrating its ability to detect fine-grained anatomical structures such as blood pools and septum walls from 2D cardiac echocardiographies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.315, 0.487, 0.822, 0.496], [0.176, 0.501, 0.823, 0.508], [0.176, 0.513, 0.382, 0.521]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 19, "edu_l1_label": "IOS"}, {"txt": "Quantitatively, ConceptVAE outperforms traditional self-supervised methods in tasks such as region-based instance retrieval, semantic segmentation, out-of-distribution detection, and object detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.382, 0.513, 0.822, 0.522], [0.176, 0.53, 0.823, 0.535], [0.176, 0.541, 0.382, 0.55]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 20, "edu_l1_label": "IOS"}, {"txt": "Additionally, we explore the generation of in-distribution synthetic data that maintains the same concepts as the training data but with distinct styles,highlighting its potential for more calibrated data generation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.382, 0.541, 0.823, 0.549], [0.176, 0.555, 0.824, 0.563], [0.175, 0.571, 0.47, 0.577]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 21, "edu_l1_label": "IOS"}, {"txt": "Overall, our study introduces and validates a promis-ing new pre-training technique based on concept-style disentanglement, opening multiple avenues for developing models for medical image analysis that are more interpretable and explainable than black-box approaches.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1100000, "bbox": [[0.47, 0.571, 0.824, 0.574], [0.176, 0.584, 0.823, 0.59], [0.176, 0.597, 0.823, 0.605], [0.176, 0.61, 0.324, 0.619]]}]}, "tags": ["text"], "label": "abstract", "web_segment_id": 14, "global_sentence_id": 22, "edu_l1_label": "IOS"}, {"txt": "1 Introduction", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1200000, "bbox": [[0.117, 0.643, 0.252, 0.653]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 15, "global_sentence_id": 23, "edu_l1_label": "BOS"}, {"txt": "Unsupervised and, in particular, Self-Supervised Learning (SSL) methods facilitate the use of unlabeled data to learn its underlying structure.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.117, 0.672, 0.88, 0.681], [0.117, 0.688, 0.275, 0.7]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 24, "edu_l1_label": "IOS"}, {"txt": "These pre-training methods have demonstrated improved performance and robustness across a wide range of medical imaging tasks, outperforming models trained solely through supervised learning [1,2,3].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1300000, "bbox": [[0.275, 0.688, 0.881, 0.695], [0.117, 0.703, 0.859, 0.708]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 25, "edu_l1_label": "IOS"}, {"txt": "The core idea of SSL pre-training is to develop meaningful representations from input samples, represented as a single continuous embedding vector encapsulating the content displayed in an input [4].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.116, 0.721, 0.882, 0.729], [0.117, 0.737, 0.644, 0.743]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 26, "edu_l1_label": "IOS"}, {"txt": "These representations can be viewed as an aggregation of local concepts, their corresponding styles and their contribution on the overall meaning of the input.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.644, 0.737, 0.882, 0.743], [0.117, 0.751, 0.881, 0.758], [0.118, 0.764, 0.158, 0.777]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 27, "edu_l1_label": "IOS"}, {"txt": "The nature of the representations learnt can vary depending on the specific method employed [5].For example,some methods encourage the representations to be similar for similar or augmented input samples, and dissimilar for samples that depict distinct concepts [6].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.158, 0.764, 0.882, 0.772], [0.118, 0.779, 0.882, 0.785], [0.117, 0.79, 0.413, 0.798]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 28, "edu_l1_label": "IOS"}, {"txt": "Other methods aim to ensure that the representations can be accurately reconstructed from partially masked inputs or features [7,8].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1400000, "bbox": [[0.413, 0.79, 0.88, 0.801], [0.117, 0.806, 0.514, 0.812]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 17, "global_sentence_id": 29, "edu_l1_label": "IOS"}, {"txt": "Regardless of the approach employed, each method aims to develop a single-vector representation of the input, which may fail to capture fine-grained concepts present in it.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.117, 0.824, 0.88, 0.833], [0.117, 0.84, 0.467, 0.847]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 30, "edu_l1_label": "IOS"}, {"txt": "For example, a 2D echocardiography of the heart can be broken down into concepts such as heart chambers, valves, and walls.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.467, 0.84, 0.88, 0.847], [0.117, 0.853, 0.515, 0.86]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 31, "edu_l1_label": "IOS"}, {"txt": "However, the SSL methods' single-vector representation makes it challenging to discern whether such concepts are learned during pre-training [9,10].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1500000, "bbox": [[0.515, 0.853, 0.881, 0.86], [0.118, 0.867, 0.728, 0.874]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 18, "global_sentence_id": 32, "edu_l1_label": "IOS"}, {"txt": "Moreover, similarityconstraints imposed in SSL under various augmentations can cause algorithms to merge certain concepts and their associated styles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.124, 0.886, 0.881, 0.895], [0.117, 0.902, 0.359, 0.909]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 33, "edu_l1_label": "IOS"}, {"txt": "For example, two augmented views of the same input must produce similar", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1600000, "bbox": [[0.359, 0.902, 0.882, 0.909]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 19, "global_sentence_id": 34, "edu_l1_label": "IOS"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.169, 0.045, 0.829, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 35, "edu_l1_label": "EDU_O"}, {"txt": "representations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.118, 0.097, 0.222, 0.103]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 36, "edu_l1_label": "IOS"}, {"txt": "However, cropping or zooming can exclude some object parts from a view, while blurring or color jittering can alter local textures, making them different between the augmented views.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.222, 0.097, 0.883, 0.103], [0.116, 0.11, 0.69, 0.117]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 37, "edu_l1_label": "IOS"}, {"txt": "This is one reason why SSL pre-trained models typically do not perform well on localized tasks, such as detecting localized pathologies, instance retrieval or Out-of-Distribution (OOD) detection [11, 12].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.69, 0.11, 0.878, 0.117], [0.118, 0.124, 0.881, 0.131], [0.117, 0.138, 0.504, 0.144]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 38, "edu_l1_label": "IOS"}, {"txt": "The ability to identify individual concepts that make up larger objects within input images, and capture particular traits of these concepts such as textures, will result in more expressive embeddings that can alleviate some of these weaknesses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1700000, "bbox": [[0.504, 0.138, 0.881, 0.146], [0.118, 0.15, 0.881, 0.158], [0.117, 0.166, 0.56, 0.172]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 39, "edu_l1_label": "IOS"}, {"txt": "In this paper, we present a novel pre-training method that learns to discretise an input image into a set of fine-grained concepts, and identifies a unique set of styles for each concept.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.117, 0.184, 0.882, 0.193], [0.117, 0.201, 0.527, 0.212]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 40, "edu_l1_label": "IOS"}, {"txt": "Inspired by human perception, where the brain rapidly recognizes objects by first identifying essential concepts as key components and then perceiving detailed information like fine textures, our approach aims to mimic this process [13,14,15].Using 2D cardiac echocardiographies,we show that the proposed method, which we term ConceptVAE and illustrate in Figure 1,can identify fine-grained concepts representing anatomical structures and regions such as heart chambers, walls or blood pools without any supervision.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1800000, "bbox": [[0.527, 0.201, 0.88, 0.208], [0.117, 0.214, 0.88, 0.22], [0.118, 0.225, 0.873, 0.234], [0.118, 0.24, 0.881, 0.248], [0.117, 0.255, 0.88, 0.261]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 41, "edu_l1_label": "IOS"}, {"txt": "The main strength of our proposed framework is the concept(content)-style disentanglement that happens natively during the pretraining procedure, a behavior that doesn't occur within traditional SSL methods.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.117, 0.274, 0.881, 0.284], [0.117, 0.289, 0.767, 0.295]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 42, "edu_l1_label": "IOS"}, {"txt": "We demonstrate the achievement of disentanglement and investigate its potential in a plurality of diverse downstream tasks (such as segmentation, object detection, retrieval, generation, outlier detection) where we directly exploit the proposed disen-tangled latent space.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.767, 0.289, 0.882, 0.295], [0.118, 0.302, 0.881, 0.31], [0.118, 0.318, 0.882, 0.321], [0.118, 0.331, 0.252, 0.338]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 43, "edu_l1_label": "IOS"}, {"txt": "Applications in medical imaging, where aspects such as model explainability and interpretability hold great interest, can benefit from concept-style disentanglement of the latent space.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.252, 0.331, 0.881, 0.339], [0.118, 0.343, 0.672, 0.351]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 44, "edu_l1_label": "IOS"}, {"txt": "Although traditional deep learn-ing (DL) models are capable of performing the aforementioned tasks with good performance, they lack such properties since they are black-box solutions (regardless whether pretraining was used or not in their development).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.672, 0.343, 0.882, 0.348], [0.118, 0.358, 0.882, 0.366], [0.118, 0.372, 0.814, 0.379]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 45, "edu_l1_label": "IOS"}, {"txt": "Disentan-glement can also be used as a tool to explore the underlying structure of data, through the explicit decomposition into observed local concepts and their style properties.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 1900000, "bbox": [[0.814, 0.372, 0.882, 0.376], [0.118, 0.386, 0.881, 0.392], [0.117, 0.399, 0.443, 0.406]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 46, "edu_l1_label": "IOS"}, {"txt": "Briefly,ConceptVAE extends the Variational Autoencoder (VAE) framework to encode a 2D input image into a latent space using a 2D grid of concept probability distributions (one$p_{ij}(c$for each image region, where $C$ is a concept and $i,j$ are spatial indexes) and their associated style vectors $\\left(_{i}=\\left(_{i}x\\right)\\right.$,where$_{ij}$is the style property vector of concept$c_{ij}$ that is present at location $i,j$ in input image $x$).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.115, 0.417, 0.885, 0.513]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 47, "edu_l1_label": "IOS"}, {"txt": "We find that even a modest number of discrete concepts and styles (e.g., 16 concepts and 8 style components) are sufficient to model 2D echocardiographies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.115, 0.417, 0.885, 0.513]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 48, "edu_l1_label": "IOS"}, {"txt": "We design a series of loss functions that guide a neural network to detect underlying concepts from an input image and identify particular styles for each concept.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2000000, "bbox": [[0.115, 0.417, 0.885, 0.513]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 49, "edu_l1_label": "IOS"}, {"txt": "We validate the effectiveness of the embeddings learnt via ConceptVAE through distinct tasks including region-based instance retrieval, semantic segmentation, object detection, and OOD detection, demonstrating consistent improve-ments over more traditional SSL methods.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2100000, "bbox": [[0.118, 0.521, 0.881, 0.53], [0.118, 0.537, 0.883, 0.543], [0.117, 0.551, 0.393, 0.558]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 50, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2200000, "bbox": [[0.303, 0.608, 0.694, 0.874]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 7, "global_sentence_id": 51, "edu_l1_label": "EDU_O"}, {"txt": "Figure 1: ConceptVAE overview, where the blue blocks are trainable while the grey blocks are only updated using exponential moving average.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2300000, "bbox": [[0.115, 0.882, 0.883, 0.907]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 8, "global_sentence_id": 52, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.494, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 9, "global_sentence_id": 53, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2400000, "bbox": [[0.169, 0.045, 0.829, 0.059]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 54, "edu_l1_label": "EDU_O"}, {"txt": "In summary, our work's key contributions are the following:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2500000, "bbox": [[0.117, 0.094, 0.509, 0.104]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 55, "edu_l1_label": "IOS"}, {"txt": "·We introduce ConceptVAE, a novel SSL training framework that yields models capable to fine-grained disen-tangle concepts and styles from medical images.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.161, 0.124, 0.882, 0.132], [0.176, 0.138, 0.484, 0.145]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 56, "edu_l1_label": "IOS"}, {"txt": "We evaluate the model using 2D cardiac echocardiographies,given the accessibility of datasets for pre-training and validation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.484, 0.138, 0.884, 0.146], [0.182, 0.153, 0.605, 0.164]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 57, "edu_l1_label": "IOS"}, {"txt": "Nevertheless, ConceptVAE is designed to be versatile and can potentially be applied to all 2D image modalities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2600000, "bbox": [[0.605, 0.153, 0.881, 0.159], [0.176, 0.164, 0.631, 0.173]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 58, "edu_l1_label": "IOS"}, {"txt": "·We qualitatively validate ConceptVAE and demonstrate its ability to identify concepts specialised for anatom-ical structures,such as blood pools or septum walls.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2700000, "bbox": [[0.161, 0.186, 0.879, 0.193], [0.176, 0.199, 0.515, 0.207]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 59, "edu_l1_label": "IOS"}, {"txt": "·We quantitatively validate ConceptVAE and show consistent improvements over traditional SSL methods across various tasks, including instance retrieval, semantic segmentation, object detection, and OOD detec-tion.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2800000, "bbox": [[0.161, 0.221, 0.881, 0.227], [0.175, 0.235, 0.882, 0.239], [0.175, 0.247, 0.206, 0.255]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 60, "edu_l1_label": "IOS"}, {"txt": "·We assess ConceptVAE's ability to generate data conditioned on concept semantics and discuss its potential to enhance robustness in dense prediction tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 2900000, "bbox": [[0.161, 0.269, 0.882, 0.275], [0.175, 0.282, 0.489, 0.289]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 61, "edu_l1_label": "IOS"}, {"txt": "The remainder of this article is organised as follows.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.117, 0.309, 0.459, 0.317]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 62, "edu_l1_label": "IOS"}, {"txt": "We start by discussing background information and related work (Section 2), followed by a detailed overview of ConceptVAE (Section 3), an analysis of the pre-trained model's ability to disentangle concepts and styles (Section 4), and a quantitative evaluation of the model for multiple tasks (Section 5).The paper ends with conclusions and future work (Section 6).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3000000, "bbox": [[0.459, 0.309, 0.88, 0.317], [0.117, 0.323, 0.882, 0.333], [0.118, 0.338, 0.882, 0.345], [0.117, 0.35, 0.52, 0.359]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 63, "edu_l1_label": "IOS"}, {"txt": "2 Related Work", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3100000, "bbox": [[0.117, 0.385, 0.262, 0.396]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 8, "global_sentence_id": 64, "edu_l1_label": "BOS"}, {"txt": "We identify a series of related works that can be categorized into three distinct groups:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.118, 0.417, 0.671, 0.426]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 65, "edu_l1_label": "IOS"}, {"txt": " (i) SSL methods, encompassing both general approaches from natural images and those specific to medical images [4,16]; (ii) Disentangled Represen-tation Learning (DRL) methods, which aim to train models capable of identifying and mapping factors of variation to semantically meaningful variables [17,28]; and (iii) the application of SSL methods to improve performance in med-ical image processing tasks related to 2D echocardiographies, such as segmentation or information retrieval.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.671, 0.417, 0.881, 0.428], [0.118, 0.432, 0.88, 0.441], [0.118, 0.447, 0.882, 0.454], [0.118, 0.462, 0.882, 0.465], [0.118, 0.474, 0.833, 0.481]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 66, "edu_l1_label": "IOS"}, {"txt": "Below,we discuss these groups independently and explore their interplay.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3200000, "bbox": [[0.833, 0.474, 0.884, 0.482], [0.118, 0.489, 0.548, 0.496]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 67, "edu_l1_label": "IOS"}, {"txt": "The primary SSL methods can be categorized in (i) contrastive learning methods (e.g., [18,19]),which aim to create similar representations for input images showing the same objects and contrastive representations for images showing different objects;", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.117, 0.507, 0.882, 0.516], [0.118, 0.523, 0.881, 0.532], [0.117, 0.536, 0.23, 0.545]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 68, "edu_l1_label": "IOS"}, {"txt": " (ii) correlation-based methods (e.g., [20]), which aim to preserve the variance of the embeddings while decorrelating variables related to distinct objects; and (iii) masked image modeling methods (e.g.,[21,22]),which aim to reconstruct the original input from its masked version.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.23, 0.536, 0.882, 0.544], [0.117, 0.551, 0.882, 0.558], [0.117, 0.564, 0.566, 0.571]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 69, "edu_l1_label": "IOS"}, {"txt": "Recent studies indicate that,despite differences in methodology and training objectives, contrastive and correlation-based methods are closely related and may yield similar results, as they minimize criteria that are equivalent under certain conditions [23].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.566, 0.564, 0.882, 0.571], [0.117, 0.577, 0.88, 0.585], [0.118, 0.592, 0.699, 0.598]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 70, "edu_l1_label": "IOS"}, {"txt": "All methods in these groups focus on developing single-vector (and not local or concept-based) representations, which can be used in distinct downstream tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3300000, "bbox": [[0.699, 0.592, 0.882, 0.6], [0.117, 0.604, 0.882, 0.613], [0.117, 0.619, 0.237, 0.627]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 71, "edu_l1_label": "IOS"}, {"txt": "Within SSL methods, some approaches yield models with interesting emergent properties.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.117, 0.638, 0.708, 0.646]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 72, "edu_l1_label": "IOS"}, {"txt": "For example, vision trans-former models [24] trained with DINO [25,26] can generate features that explicitly describe the semantic segmentation of an image.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.708, 0.638, 0.882, 0.644], [0.117, 0.652, 0.881, 0.66], [0.118, 0.668, 0.203, 0.674]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 73, "edu_l1_label": "IOS"}, {"txt": "These features can be directly linked to actual objects present in the image, which can be broadly in-terpreted as independent concepts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.203, 0.668, 0.882, 0.672], [0.118, 0.681, 0.344, 0.688]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 74, "edu_l1_label": "IOS"}, {"txt": "Training with DINO improves performance in image classification, segmentation,and even information retrieval.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.344, 0.681, 0.882, 0.689], [0.118, 0.696, 0.326, 0.703]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 75, "edu_l1_label": "IOS"}, {"txt": "Building upon DINO, ref.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.326, 0.696, 0.507, 0.702]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 76, "edu_l1_label": "IOS"}, {"txt": "[27] associated a fixed number of prototypical concepts with the semantics of each image using a pixel assignment scheme based on k-means clustering, further enhancing semantic segmentation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3400000, "bbox": [[0.507, 0.696, 0.882, 0.702], [0.118, 0.709, 0.881, 0.718], [0.117, 0.723, 0.27, 0.73]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 77, "edu_l1_label": "IOS"}, {"txt": "Despite the fact that global representations developed through SSL methods can linearly separate certain object classes,these methods do not ensure that the learned latent space structure is meaningful.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.117, 0.741, 0.882, 0.752], [0.118, 0.756, 0.66, 0.765]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 78, "edu_l1_label": "IOS"}, {"txt": "Specifically, intermediate feature maps (i.e., the spatial feature maps before the final projector head) may not be sufficiently descriptive to reliably differentiate between similar visual concepts or to group together representations of objects from the same class.Additionally,these representations might either be intertwined with style information or attempt to suppress it to achieve invariance against train-time augmentations [28].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3500000, "bbox": [[0.66, 0.756, 0.881, 0.765], [0.118, 0.772, 0.88, 0.78], [0.117, 0.783, 0.882, 0.792], [0.117, 0.797, 0.882, 0.806], [0.119, 0.812, 0.492, 0.819]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 79, "edu_l1_label": "IOS"}, {"txt": "In contrast, DRL is a family of training methods aimed at isolating the factors of variation driving the generative process behind a data distribution into distinct latent variables.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.117, 0.831, 0.881, 0.84], [0.118, 0.848, 0.531, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 80, "edu_l1_label": "IOS"}, {"txt": "Ref.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.531, 0.848, 0.565, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 81, "edu_l1_label": "IOS"}, {"txt": "[28,29] provide overviews of recent techniques in DRL.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.565, 0.848, 0.88, 0.854], [0.118, 0.861, 0.176, 0.868]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 82, "edu_l1_label": "IOS"}, {"txt": "Among various benefits, DRL can improve a model's explainability, controllability, and robustness [29].Nevertheless, DRL methods often need labels to learn meaningful representations [30] and have limited applicability to image-based tasks, primarily focusing on image generation [29].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.176, 0.861, 0.883, 0.868], [0.118, 0.872, 0.879, 0.882], [0.117, 0.888, 0.558, 0.9]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 83, "edu_l1_label": "IOS"}, {"txt": "In contrast, ConceptVAE is designed as a general pre-training strategy that benefits multiple downstream tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3600000, "bbox": [[0.558, 0.888, 0.882, 0.895], [0.117, 0.903, 0.516, 0.908]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 84, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.494, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 14, "global_sentence_id": 85, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3700000, "bbox": [[0.169, 0.045, 0.829, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 86, "edu_l1_label": "EDU_O"}, {"txt": "Within DRL, ConceptVAE is similar to content-style disentanglement [28], as it deliberately assigns distinct roles to different components of the latent space.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.117, 0.094, 0.881, 0.103], [0.118, 0.109, 0.393, 0.117]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 87, "edu_l1_label": "IOS"}, {"txt": "For example, certain components represent anatomical concepts such as heart valves (acting as the content), while others capture their local specifics (acting as the style).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.393, 0.109, 0.882, 0.117], [0.117, 0.123, 0.771, 0.136]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 88, "edu_l1_label": "IOS"}, {"txt": "Our model uses both discrete and continuous latent variables, for the content and style of input images, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.771, 0.123, 0.881, 0.131], [0.118, 0.136, 0.784, 0.144]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 89, "edu_l1_label": "IOS"}, {"txt": "This approach has provensuccessful in other DRL works, e.g., for clustering latent space representations in generative adversarial modeling [31].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.784, 0.136, 0.88, 0.145], [0.118, 0.15, 0.882, 0.158], [0.117, 0.165, 0.217, 0.172]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 90, "edu_l1_label": "IOS"}, {"txt": "However, our two latent variables are not independent: the style is determined as a function of both the input image and a predicted grid of discrete concepts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3800000, "bbox": [[0.217, 0.165, 0.879, 0.172], [0.118, 0.177, 0.492, 0.186]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 91, "edu_l1_label": "IOS"}, {"txt": "While some methods enforce DRL at train time through either inductive biases, priors or supervision [28], other methods work post-hoc as post-processing of pretrained models in order to separate style and content.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.118, 0.198, 0.882, 0.206], [0.118, 0.214, 0.792, 0.22]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 92, "edu_l1_label": "IOS"}, {"txt": "For example,ref.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.792, 0.214, 0.882, 0.221], [0.117, 0.227, 0.141, 0.234]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 93, "edu_l1_label": "IOS"}, {"txt": "[32] uses style annotations to compute a linear projection that is applied on the entangled representations to separate them in two sub-matrices: a diagonal style matrix and an invertible dense content matrix.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.141, 0.227, 0.882, 0.234], [0.118, 0.241, 0.748, 0.248]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 94, "edu_l1_label": "IOS"}, {"txt": "We draw inspiration from this approach, and enforce a unit-covariance constraint on the style component of our latent space, while letting adjacent concepts cooperate for reconstructing the input image.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 3900000, "bbox": [[0.748, 0.241, 0.881, 0.247], [0.118, 0.254, 0.881, 0.264], [0.117, 0.269, 0.531, 0.276]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 95, "edu_l1_label": "IOS"}, {"txt": "Modeling images with a discrete codebook has been previously employed for purely generative purposes in models such as VQ-VAE [33,34].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.117, 0.287, 0.882, 0.295], [0.118, 0.303, 0.296, 0.309]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 96, "edu_l1_label": "IOS"}, {"txt": "Unlike our approach, these models require a significantly larger codebook size because a discrete code must represent a combination of entangled concept and style.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.296, 0.303, 0.881, 0.31], [0.117, 0.318, 0.627, 0.324]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 97, "edu_l1_label": "IOS"}, {"txt": "In contrast, our model requires only a small array of discrete concepts, as they are disentangled from the styles, which are represented in the latent space by small-sized continuous vectors.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4000000, "bbox": [[0.627, 0.318, 0.881, 0.324], [0.118, 0.331, 0.88, 0.34], [0.118, 0.345, 0.324, 0.352]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 98, "edu_l1_label": "IOS"}, {"txt": "Similar methods have been employed in cardiac image analysis before.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.117, 0.364, 0.597, 0.372]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 99, "edu_l1_label": "IOS"}, {"txt": "For example, ref.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.597, 0.364, 0.721, 0.372]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 100, "edu_l1_label": "IOS"}, {"txt": "[35] used spatial binary anatomical factors as content to compute an image-level modality factor as style for reconstructing MRI and CT data.Additionally, traditional SSL methods have been successfully applied in medical image analysis for tasks such as instanceretrieval [36], semantic segmentation [37], and object detection [16].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.721, 0.364, 0.88, 0.374], [0.117, 0.379, 0.882, 0.385], [0.117, 0.391, 0.882, 0.4], [0.118, 0.405, 0.64, 0.413]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 101, "edu_l1_label": "IOS"}, {"txt": "However, these models are adapted from natural image analysis and are not specifically tailored for medical imaging.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4100000, "bbox": [[0.64, 0.405, 0.881, 0.414], [0.117, 0.419, 0.649, 0.427]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 102, "edu_l1_label": "IOS"}, {"txt": "3 ConceptVAE", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4200000, "bbox": [[0.116, 0.455, 0.253, 0.465]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 6, "global_sentence_id": 103, "edu_l1_label": "BOS"}, {"txt": "Figure 1 presents a high-level overview of ConceptVAE.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.117, 0.489, 0.493, 0.497]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 104, "edu_l1_label": "IOS"}, {"txt": "In essence, the method employs a VAE-like architecture to reconstruct an input from the model's embeddings.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.493, 0.489, 0.881, 0.497], [0.118, 0.504, 0.455, 0.51]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 105, "edu_l1_label": "IOS"}, {"txt": "It then converts the features into a set of concepts and styles via the concept discretizer and concept stylizer blocks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4300000, "bbox": [[0.455, 0.504, 0.881, 0.511], [0.118, 0.516, 0.449, 0.524]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 106, "edu_l1_label": "IOS"}, {"txt": "We include a self-supervised input reconstruction task because we train the model from scratch and require an encoder that can produce meaningful low-level embeddings.However, this task is separated (through a stop-gradient operation)from concept and style identification.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.117, 0.537, 0.882, 0.545], [0.118, 0.551, 0.88, 0.56], [0.117, 0.565, 0.363, 0.573]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 107, "edu_l1_label": "IOS"}, {"txt": "Using an existing pre-trained encoder can replace this task.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4400000, "bbox": [[0.363, 0.565, 0.751, 0.573]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 108, "edu_l1_label": "IOS"}, {"txt": "To prevent feature collapse, such as unique features for all inputs or a single concept for all concept maps, as well as improve training stability, we use a mirrored network for augmented versions of the input, updating it only with Exponential Moving Average (EMA)-a technique proven in SSL methods with similar aims [25].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4500000, "bbox": [[0.117, 0.585, 0.884, 0.593], [0.117, 0.601, 0.881, 0.607], [0.118, 0.612, 0.761, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 109, "edu_l1_label": "IOS"}, {"txt": "Both the original and augmented input embeddings are transformed, discretized and styled using the concept dis-cretizer and stylizer blocks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.118, 0.633, 0.882, 0.647], [0.117, 0.65, 0.297, 0.655]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 110, "edu_l1_label": "IOS"}, {"txt": "To ensure consistency in concepts between augmented versions of the input, a specialized loss term is employed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.297, 0.65, 0.88, 0.656], [0.117, 0.661, 0.269, 0.669]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 111, "edu_l1_label": "IOS"}, {"txt": "To guide the model in learning significant concepts and styles, the original inputs are recon-structed from the concepts and styles using the EMA decoder.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.269, 0.661, 0.878, 0.669], [0.118, 0.676, 0.532, 0.682]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 112, "edu_l1_label": "IOS"}, {"txt": "A dedicated reconstruction loss term is employed to ensure that the inputs reconstructed from concepts and styles closely match the originals.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.532, 0.676, 0.879, 0.683], [0.117, 0.691, 0.715, 0.696]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 113, "edu_l1_label": "IOS"}, {"txt": "This process encourages the model to capture and represent meaningful features of the data within the learned concepts and styles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.715, 0.691, 0.881, 0.697], [0.118, 0.703, 0.815, 0.71]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 114, "edu_l1_label": "IOS"}, {"txt": "Similarly,localised loss terms guide the model to learn diverse concepts and styles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4600000, "bbox": [[0.815, 0.703, 0.883, 0.711], [0.117, 0.716, 0.592, 0.724]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 115, "edu_l1_label": "IOS"}, {"txt": "The following subsections elaborate on the architecture, the rationale behind its design, and the training procedure,including details about the selected loss function terms and optimization parameters.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4700000, "bbox": [[0.117, 0.736, 0.882, 0.746], [0.118, 0.751, 0.666, 0.758]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 116, "edu_l1_label": "IOS"}, {"txt": "3.1 Model Architecture", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4800000, "bbox": [[0.116, 0.783, 0.29, 0.793]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 12, "global_sentence_id": 117, "edu_l1_label": "IOS"}, {"txt": "Figure 2 displays the detailed architecture of ConceptVAE.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.115, 0.81, 0.885, 0.876]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 118, "edu_l1_label": "IOS"}, {"txt": "A simple auto-encoder operates independently (in terms of gradients) from the rest of the model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.115, 0.81, 0.885, 0.876]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 119, "edu_l1_label": "IOS"}, {"txt": "It comprises an Encoder Stem that generates features :$x_{\\text {}}$at a$4x$Ooutput stride, and an Image Decoder that reconstructs the original input.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.115, 0.81, 0.885, 0.876]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 120, "edu_l1_label": "IOS"}, {"txt": "After a stop-gradient operation, an Encoder Middle block applies a series of residual convolutional blocks starting from the encoder stem's features, projecting the features to concepts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 4900000, "bbox": [[0.115, 0.81, 0.885, 0.876]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 121, "edu_l1_label": "IOS"}, {"txt": "The projections are used by a Concept Discretizer classification head, with$x_{\\text {mil}}$having a $16x$output stride.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.115, 0.884, 0.885, 0.912]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 122, "edu_l1_label": "IOS"}, {"txt": "For each spatial location, a Softmax activation creates a probability distribution over C concepts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.115, 0.884, 0.885, 0.912]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 123, "edu_l1_label": "IOS"}, {"txt": "Using the Gumbel-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5000000, "bbox": [[0.115, 0.884, 0.885, 0.912]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 124, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.493, 0.936, 0.507, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 15, "global_sentence_id": 125, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.169, 0.045, 0.829, 0.059]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 126, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5100000, "bbox": [[0.128, 0.084, 0.896, 0.729]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 127, "edu_l1_label": "EDU_O"}, {"txt": "Figure 2: ConceptVAE model architecture and training setup, where the EMA blocks represent the exponential moving average mirrors of regular blocks. Loss components are shown in colored ellipses, and s.g. denotes stop-gradient.Solid arrows indicate tensor flows within the model, while dashed arrows represent tensors involved in loss functions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5200000, "bbox": [[0.115, 0.742, 0.883, 0.781]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 3, "global_sentence_id": 128, "edu_l1_label": "EDU_O"}, {"txt": "Softmax trick [38] with hard sampling and gradient pass-through, a grid of one-hot vectors is sampled from the concept probabilities grid.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.114, 0.823, 0.885, 0.864]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 129, "edu_l1_label": "IOS"}, {"txt": "This one-hot vector grid indexes a learned matrix of concept embeddings to produce a 2D concept map$x_{\\text {concept}}$·", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5300000, "bbox": [[0.114, 0.823, 0.885, 0.864]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 130, "edu_l1_label": "IOS"}, {"txt": "Subsequently,$x_{\\text {middle}}$ and xconcept are concatenated along the channel axis and passed into a Concept Stylizer block.This block generates a 2D grid$x_{\\text {y}}$of $S$ channels capturing the style properties of each concept.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.115, 0.872, 0.885, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 131, "edu_l1_label": "IOS"}, {"txt": "At this point,each location within the $16x$-stride grid has anidentified concept and an associated style vector.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.115, 0.872, 0.885, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 132, "edu_l1_label": "IOS"}, {"txt": "The channel-wise concate-", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5400000, "bbox": [[0.115, 0.872, 0.885, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 133, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.494, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 6, "global_sentence_id": 134, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.171, 0.045, 0.829, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 135, "edu_l1_label": "EDU_O"}, {"txt": "nation of $x_{\\text {concept}}$ and$x_{\\text {syle}}$constitutes the model's latent space $\\left(x_{\\text {latent}}\\right)$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.114, 0.092, 0.885, 0.168]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 136, "edu_l1_label": "IOS"}, {"txt": "Notably, xconcept is derived from discrete embeddings, using a shared learnable embedding matrix for all input samples.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.114, 0.092, 0.885, 0.168]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 137, "edu_l1_label": "IOS"}, {"txt": "In contrast,$x_{\\text {yle}}$is a continuous tensor computed based on local features $x_{\\text {middle}}$and the sampled discrete concepts:$x_{\\text {concept}}$.Consequently,$x_{\\text {tyle}}$is specific to the sampled$x_{\\text {concept}}$,meaning that sampling a different concept at location $i,j$ will result in a different style vector $x_{\\text {style}}^{ij}.$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5500000, "bbox": [[0.114, 0.092, 0.885, 0.168]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 138, "edu_l1_label": "IOS"}, {"txt": "A Feature Decoder projects the latent space to reconstruct the lower $4x$-stride features of the Encoder Stem, denoted as$x_{\\text {m}}^{c}$.Lastly, the EMA Decoder is employed to recover the original input image from the latent space.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.115, 0.174, 0.885, 0.241]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 139, "edu_l1_label": "IOS"}, {"txt": "This reconstruction is core to ConceptVAE, as it guides the model to learn how to decompose an input into fine-grained concepts with associated styles, and reconstruct the input from concepts alone or from concepts and associated styles.Using the EMA Decoder for the reconstruction ensures there is no mode collapse for the concepts or styles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5600000, "bbox": [[0.115, 0.174, 0.885, 0.241]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 140, "edu_l1_label": "IOS"}, {"txt": "Architecturally, the Encoder Stem module is designed as a simple sequence of convolutional, instance normalization,max-pooling,and Leaky ReLU stages.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.115, 0.25, 0.885, 0.345]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 141, "edu_l1_label": "IOS"}, {"txt": "The final layer is a normalization layer that ensures channel-wise zero mean and unit standard deviation, helping to prevent potential feature collapse.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.115, 0.25, 0.885, 0.345]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 142, "edu_l1_label": "IOS"}, {"txt": "This module contains three convolutional layers with$3x3$kernels and strides 2,1,1 respectively, and one max-pooling layer with$2x2$kernel and stride 2,yielding a field of view size of$17\\mathrm {px}$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.115, 0.25, 0.885, 0.345]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 143, "edu_l1_label": "IOS"}, {"txt": "The Image Decoder block maintains this simplicity, consisting of 2 upsampling stages based on$3x3$transposed convolution layers with stride 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.115, 0.25, 0.885, 0.345]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 144, "edu_l1_label": "IOS"}, {"txt": "Regular$1x$convolutions, normalization, and Leaky ReLU layers are inter-twined between the two up-sampling stages to improve the module's decoding capacity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5700000, "bbox": [[0.115, 0.25, 0.885, 0.345]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 145, "edu_l1_label": "IOS"}, {"txt": "The Encoder Middle block employs a residual architecture.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.115, 0.354, 0.885, 0.461]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 146, "edu_l1_label": "IOS"}, {"txt": "As in the Image Decoder block, the first layer is a Leaky ReLU activation, as the input to this block comes from the normalized convolutional output of the Encoder Stem.The block comprises three residual stages with 3, 5, and 5 residual layers, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.115, 0.354, 0.885, 0.461]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 147, "edu_l1_label": "IOS"}, {"txt": "Each residual layer includes two sequences of normalization, Leaky ReLU, and convolution.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.115, 0.354, 0.885, 0.461]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 148, "edu_l1_label": "IOS"}, {"txt": "Max-pooling and normalization layers are positioned between each residual stage.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.115, 0.354, 0.885, 0.461]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 149, "edu_l1_label": "IOS"}, {"txt": "This number of layers was selected to ensure that the receptive field-of-view$x_{\\text {mi}}$exceeds the shorter dimension of the input image.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.115, 0.354, 0.885, 0.461]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 150, "edu_l1_label": "IOS"}, {"txt": "In our case, the input image has dimensions(h, 320),and the field of view is approximately 300 pixels.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.115, 0.354, 0.885, 0.461]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 151, "edu_l1_label": "IOS"}, {"txt": "Larger or smaller architectures can be selected to model distinct input dimensions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5800000, "bbox": [[0.115, 0.354, 0.885, 0.461]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 152, "edu_l1_label": "IOS"}, {"txt": "Equation (1) describes the operation of the concept discretizer.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.115, 0.47, 0.885, 0.524]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 153, "edu_l1_label": "IOS"}, {"txt": "A classification head $f_{cd}$computes the concept proba-bility logits; Gumbel noise-$-\\ln (-\\ln (u))$is added, and a temperature$\\left(T_{\\text {mp}}\\right)$Softmax computes the sampled concept ratios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.115, 0.47, 0.885, 0.524]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 154, "edu_l1_label": "IOS"}, {"txt": "A one-hot vector is created based on the concept with largest ratio and the pass-through technique ensures dif-ferentiability (where sg is the stop-gradient operator,$I$ is the input image).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 5900000, "bbox": [[0.115, 0.47, 0.885, 0.524]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 155, "edu_l1_label": "IOS"}, {"txt": "$$p(c)\\vert \\mathcal {I}=\\text {Softmax}\\left(f_{cd}\\left(x_{\\text {middle}}(\\mathcal {I})\\right)\\right)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6000000, "bbox": [[0.342, 0.53, 0.596, 0.548]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 7, "global_sentence_id": 156, "edu_l1_label": "IOS"}, {"txt": "$$u\\sim U(0,1)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6100000, "bbox": [[0.377, 0.549, 0.459, 0.564]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 8, "global_sentence_id": 157, "edu_l1_label": "IOS"}, {"txt": "$$p_{\\text {samp}}(c)=\\text {Softmax}\\left(\\frac {\\ln (p(c)\\vert \\mathcal {I})-\\ln (-\\ln (u))}{T_{\\text {samp}}}\\right)\\tag{1}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6200000, "bbox": [[0.325, 0.566, 0.885, 0.602]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 158, "edu_l1_label": "IOS"}, {"txt": "$$y_{\\text {hard}}=\\mathbf {1}_{\\text {hot}}\\left(\\arg \\max \\left(p_{\\text {samp}}(c)\\right)\\right)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6300000, "bbox": [[0.349, 0.602, 0.58, 0.62]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 159, "edu_l1_label": "IOS"}, {"txt": "$$y_{\\text {hard}}=\\text {sg}\\left(y_{\\text {hard}}-p_{\\text {samp}}(c)\\right)+p_{\\text {samp}}(c)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6400000, "bbox": [[0.349, 0.62, 0.635, 0.638]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 11, "global_sentence_id": 160, "edu_l1_label": "IOS"}, {"txt": "The Concept Stylizer is based on a small 3-layer sequence of convolution-Leaky ReLU-convolution layers,all with bottleneck$(1x1)$kernels.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.115, 0.651, 0.885, 0.689]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 161, "edu_l1_label": "IOS"}, {"txt": "Its function is to customize the selected concept at each spatial location within the $16x$-stride grid.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6500000, "bbox": [[0.115, 0.651, 0.885, 0.689]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 162, "edu_l1_label": "IOS"}, {"txt": "The Feature Decoder begins with two residual stages that process $x_{\\text {latent}}$t,followed by two transposed convolution stages that up-sample the grid to a$4$output stride relative to the input size.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.115, 0.699, 0.885, 0.753]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 163, "edu_l1_label": "IOS"}, {"txt": "These two residual stages operate on a neighborhood of$5x5$spatial locations, allowing adjacent concepts tocollaborate in the reconstruction.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.115, 0.699, 0.885, 0.753]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 164, "edu_l1_label": "IOS"}, {"txt": "The impact of neighborhood size on reconstruction and modeling quality is discussed in Section 4.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6600000, "bbox": [[0.115, 0.699, 0.885, 0.753]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 165, "edu_l1_label": "IOS"}, {"txt": "Neither the Image nor the Feature Decoder employ skip-connections that reuse internal encoder feature maps.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.115, 0.761, 0.885, 0.799]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 166, "edu_l1_label": "IOS"}, {"txt": "This design is essential, as it compels the model to rely solely on its latent space,$x_{\\text {latent}}$, to represent the data manifold and reconstruct the inputs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6700000, "bbox": [[0.115, 0.761, 0.885, 0.799]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 167, "edu_l1_label": "IOS"}, {"txt": "3.2 Training Objectives", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6800000, "bbox": [[0.117, 0.819, 0.291, 0.829]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 15, "global_sentence_id": 168, "edu_l1_label": "IOS"}, {"txt": "To train ConceptVAE, we devise a series of loss terms inspired by classical (discrete) VAE formulations, but adapted to guide the learning process towards identifying and personalizing concepts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.115, 0.844, 0.885, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 169, "edu_l1_label": "IOS"}, {"txt": "We employ two types of reconstruction losses, illustrated in blue in Figure 2: an image-based loss$\\mathcal {L}_{img}$, which uses Mean Squared Error (MSE) over pixel values, and a feature-based loss$\\mathcal {L}_{\\text {fat}}$,which uses MSE over low-level feature tensors.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.115, 0.844, 0.885, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 170, "edu_l1_label": "IOS"}, {"txt": "The simple auto-encoder is trained using$\\mathcal {L}_{img}$ between the original input image$\\mathcal {I}_{\\text {orig}}$ and the reconstructed image based on the $4x$-stride feature", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 6900000, "bbox": [[0.115, 0.844, 0.885, 0.913]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 16, "global_sentence_id": 171, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.494, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 17, "global_sentence_id": 172, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.171, 0.045, 0.83, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 173, "edu_l1_label": "EDU_O"}, {"txt": "map.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.115, 0.094, 0.885, 0.147]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 174, "edu_l1_label": "IOS"}, {"txt": "The EMA version of the Encoder Stem is used to compute the target for the tensor produced by the Feature Decoder block,while the EMA Decoder is used to compute the reconstructed image from $x_{\\text {latent}}$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.115, 0.094, 0.885, 0.147]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 175, "edu_l1_label": "IOS"}, {"txt": "The use of both pixel-and feature-level reconstruction losses has been previously employed in VAE/GAN setups [34, 39], to boost both training stability and image generation fidelity.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7000000, "bbox": [[0.115, 0.094, 0.885, 0.147]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 176, "edu_l1_label": "IOS"}, {"txt": "The feature decoder takes both$x_{\\text {concept}}$ and $x_{\\text {syle}}$as inputs.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.114, 0.154, 0.885, 0.332]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 177, "edu_l1_label": "IOS"}, {"txt": "While $x_{\\text {concept}}$ is generated by sampling from a discrete concept codebook,$x_{\\text {tyl}}$is computed directlyas a (continuous) function of$x_{\\text {middle}}$ and $x_{\\text {concept}}$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.114, 0.154, 0.885, 0.332]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 178, "edu_l1_label": "IOS"}, {"txt": "Consequently,the network could potentially exploit this setup by minimizing the influence of $x_{\\text {concept}}$ and relying more heavily on the more direct path of$x_{\\text {syl}}$,effectively reducing its operation to that of a simple auto-encoder.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.114, 0.154, 0.885, 0.332]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 179, "edu_l1_label": "IOS"}, {"txt": "In this scenario,xconcept would lose its semantic significance,and$x_{\\text {l}}$would function as a rich bottleneck representation rather than a style characteristic of a concept.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.114, 0.154, 0.885, 0.332]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 180, "edu_l1_label": "IOS"}, {"txt": "To address this undesired behavior, an image/feature reconstruction is performed where the style components of $x_{\\text {latent}}$ are explicitly zeroed out.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.114, 0.154, 0.885, 0.332]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 181, "edu_l1_label": "IOS"}, {"txt": "The EMA Decoder is reused to obtain a reconstructed version of the input image,relying solely on$x_{\\text {concept}}$ ,without the style component$x_{\\text {l}}$The target of this reconstruction is a blurred version of the input image, with blurring serving as an approximation for removing fine details and textures,thereby partially eliminating the notion of style.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.114, 0.154, 0.885, 0.332]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 182, "edu_l1_label": "IOS"}, {"txt": "Both pixel- and feature-based losses are employed to evaluate the reconstruction quality when using only the spatial distribution of concepts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.114, 0.154, 0.885, 0.332]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 183, "edu_l1_label": "IOS"}, {"txt": "This approach guides the Feature Decoder block to focus on the concept component of $x_{\\text {latent}}$ and also encourages the Encoder Middle to learn to detect relevant concepts within input images.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7100000, "bbox": [[0.114, 0.154, 0.885, 0.332]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 184, "edu_l1_label": "IOS"}, {"txt": "Another key aspect of concept detection is its invariance to specific styles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.115, 0.342, 0.885, 0.48]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 185, "edu_l1_label": "IOS"}, {"txt": "This means that two different (augmented)views of the same medical image should produce the same concept maps, despite variations in their visual appearances.Pixel-level and texture differences should be captured by$x_{\\text {y}}$, while more complex anatomical structures should be encoded in $x_{\\text {concept}}$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.115, 0.342, 0.885, 0.48]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 186, "edu_l1_label": "IOS"}, {"txt": "To guide this behavior during training, we introduced a Concept consistency loss, illustrated with orange in Figure 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.115, 0.342, 0.885, 0.48]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 187, "edu_l1_label": "IOS"}, {"txt": "The Concept Discretizer block first computes a grid of concept probabilities, from which it generates a spatial grid of sampled concept indices.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.115, 0.342, 0.885, 0.48]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 188, "edu_l1_label": "IOS"}, {"txt": "Following this, the concept maps from augmented views should be equivalent, even if the augmentations involve translations, rotations, or other spatial shifts (We use equivalent instead of identical because augmentations like translations, rotations, and shearing can spatially shift the placement of concepts within the image.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.115, 0.342, 0.885, 0.48]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 189, "edu_l1_label": "IOS"}, {"txt": "Nevertheless, the correspondences between the initial and shifted locations are known,and they can be used to enforce similarity between $p(c)\\vert \\mathcal {I}_{\\text {orig}}$and$\\left.p(c)\\vert \\mathcal {I}_{\\text {augm}}\\right)$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7200000, "bbox": [[0.115, 0.342, 0.885, 0.48]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 190, "edu_l1_label": "IOS"}, {"txt": "The EMA Encoder Stem, EMA Encoder Middle, and the EMA Concept Discretizer are used to compute the target prob-ability distributions $p_{ema}(c)$ for the concept consistency loss:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.115, 0.487, 0.885, 0.65]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 191, "edu_l1_label": "IOS"}, {"txt": "$\\mathcal {L}_{cc}=-p_{ma}(c)\\ln p(c)$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.115, 0.487, 0.885, 0.65]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 192, "edu_l1_label": "IOS"}, {"txt": "The EMA concept probability map$p_{ma}$(c) is computed on an augmented view of the initial input image which incorporates transformations such as rotations, translations, shearings, zooming, gamma contrast changing and Gaussian blurring.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.115, 0.487, 0.885, 0.65]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 193, "edu_l1_label": "IOS"}, {"txt": "Since these operations can alter positions, we must account for the spatial mapping between $p(c)$ and $p_{ema}(c)$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.115, 0.487, 0.885, 0.65]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 194, "edu_l1_label": "IOS"}, {"txt": "To simplify this and avoid op-timization noise due to imperfect mapping, each augmentation procedure selects a random location uniformly, and all image operations are performed relative to this point.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.115, 0.487, 0.885, 0.65]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 195, "edu_l1_label": "IOS"}, {"txt": "The result includes a tuple of the augmented input image$\\mathcal {I}_{u}$gm,an initial location$l_{ij}$, and the equivalent location$l_{i^{\\prime }j^{\\prime }}$after all operations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.115, 0.487, 0.885, 0.65]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 196, "edu_l1_label": "IOS"}, {"txt": "In our implementation of$\\mathcal {L}_{cc}$we indexed only the grid positions of the spatial locations$l_{ij}$and$_{i^{\\prime }j^{\\prime }}$ from $p(c)$ and $p_{ema}(c)$ ,respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.115, 0.487, 0.885, 0.65]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 197, "edu_l1_label": "IOS"}, {"txt": "Therefore,only one pair of grid locations (containing the concept probability distributions) is used per each sample inside a training batch.We use the EMA blocks instead of the model blocks to prevent feedback loops that could lead to collapsing concept probabilities (e.g., always detecting the same concept).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7300000, "bbox": [[0.115, 0.487, 0.885, 0.65]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 198, "edu_l1_label": "IOS"}, {"txt": "An additional constraint$\\mathcal {L}_{\\text {stye}}$was imposed on$x_{\\text {tyle}}$to ensure it has unit covariance and zero mean along the channel (style) dimension (illustrated with green in Figure 2).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.114, 0.657, 0.885, 0.725]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 199, "edu_l1_label": "IOS"}, {"txt": "Specifically,when$x_{\\text {yl}}$is flattened across across batches $(B)$,height $H$ and width $(M)$ if forms a matrix of shape shape $(S,BHW)$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.114, 0.657, 0.885, 0.725]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 200, "edu_l1_label": "IOS"}, {"txt": "This matrix must have a row-wise mean of $0$, a row-wise standard deviation of 1, and zero correlation between rows.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.114, 0.657, 0.885, 0.725]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 201, "edu_l1_label": "IOS"}, {"txt": "This constraint ensures that$_{\\text {yl}}$has independent components with a known range of values, discussed in details in Section 5.5.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7400000, "bbox": [[0.114, 0.657, 0.885, 0.725]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 202, "edu_l1_label": "IOS"}, {"txt": "To control the deviation of$p(c)\\vert \\mathcal {I}$ from $p_{0}(c)$, we use two priors.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.115, 0.732, 0.885, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 203, "edu_l1_label": "IOS"}, {"txt": "Without enforcing these priors during training,the entropy of$p_{ij}(c)$would be minimized, canceling the effect of concept sampling and reducing the model's operation$($ $)$to a deterministic auto-encoder.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.115, 0.732, 0.885, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 204, "edu_l1_label": "IOS"}, {"txt": "Consequently, the concept probability grid$p$ $\\vert\\mathcal{I}$would lose much of its semantic significance, reverting to a regular discrete latent variable instead of encoding high-level semantics into a fixed set of concept probabilities.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.115, 0.732, 0.885, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 205, "edu_l1_label": "IOS"}, {"txt": "This, in turn, would constrain the functionality of the concept consistency loss.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.115, 0.732, 0.885, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 206, "edu_l1_label": "IOS"}, {"txt": "We employ two types of priors: at the grid-location level and at image level.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.115, 0.732, 0.885, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 207, "edu_l1_label": "IOS"}, {"txt": "Since we are modeling echocardiographies,these images typically feature an ultrasound cone centered within a surrounding black background.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.115, 0.732, 0.885, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 208, "edu_l1_label": "IOS"}, {"txt": "The grid-location level prior is computed as follows: for grid locations inside the ultrasound cone, the prior is a uniform distribution over the last$C-1$concepts,with the first concept having zero mass (as we always designate the first concept to model the background).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.115, 0.732, 0.885, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 209, "edu_l1_label": "IOS"}, {"txt": "For grid locations outside the cone, the prior assigns all probability mass to the first concept.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7500000, "bbox": [[0.115, 0.732, 0.885, 0.87]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 210, "edu_l1_label": "IOS"}, {"txt": "The KL-divergence$\\mathcal {D}_{KL}\\left(p(c)\\vert \\mathcal {I}\\\\ vertp_{0}(c)\\right)$ is computed at all grid locations and averaged across the $(B,H,W)$dimen-sions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.115, 0.878, 0.885, 0.905]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 211, "edu_l1_label": "IOS"}, {"txt": "For the image-level prior loss it is assumed that only the first concept should be detected outside the cone,with a", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7600000, "bbox": [[0.115, 0.878, 0.885, 0.905]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 212, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.494, 0.936, 0.506, 0.949]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 9, "global_sentence_id": 213, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.171, 0.045, 0.829, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 214, "edu_l1_label": "EDU_O"}, {"txt": "uniform spread of concepts inside the cone across all samples in the current batch.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.115, 0.094, 0.885, 0.136]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 215, "edu_l1_label": "IOS"}, {"txt": "Therefore, the concept probability vectors of all grid locations inside and outside the echo cones are averaged across all samples in the batch to obtain two image-level concept prevalence vectors:$d_{\\text {cone}}(c)$ for the cone region and$_{bg}(c)$for thebackground.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7700000, "bbox": [[0.115, 0.094, 0.885, 0.136]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 216, "edu_l1_label": "IOS"}, {"txt": "The KL-divergence loss with the same priors is used for these concept prevalence vectors.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.115, 0.141, 0.885, 0.196]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 217, "edu_l1_label": "IOS"}, {"txt": "Equation (2) formalizes the final prior loss$\\mathcal {L}_{\\text {pio}},$where1c(b,i,j)is an indicator function that equals 1 if location $i,j$ in sample $b$ of the current batch pertains to an ultrasound cone.$N_{\\text {co}}$and$N_{g}$are the total numbers of cone and background grid locations inside current batch, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7800000, "bbox": [[0.115, 0.141, 0.885, 0.196]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 218, "edu_l1_label": "IOS"}, {"txt": "$$\\mathcal {L}_{\\text {prior}1}=\\sum _{b,i,j}\\frac {α_{1}}{N_{\\text {cone}}}\\mathcal {D}_{KL}\\left(p_{bij}(c)\\vert \\mathcal {I}\\\\ vertp_{0}^{\\text {cone}}(c)\\right)\\mathbf {1}_{c}(b,i,j)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 7900000, "bbox": [[0.307, 0.218, 0.698, 0.251]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 4, "global_sentence_id": 219, "edu_l1_label": "IOS"}, {"txt": "$$+\\frac {α_{2}}{N_{bg}}\\mathcal {D}_{KL}\\left(p_{bij}(c)\\vert \\mathcal {I}\\\\ vertp_{0}^{bg}(c)\\right)\\left(1-\\mathbf {1}_{c}(b,i,j)\\right)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8000000, "bbox": [[0.382, 0.256, 0.7, 0.285]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 5, "global_sentence_id": 220, "edu_l1_label": "IOS"}, {"txt": "$$d_{\\text {cone}}(c)=\\frac {1}{N_{\\text {cone}}}\\sum _{b,i,j}\\left(p_{bij}(c)\\vert \\mathcal {I}\\right)\\mathbf {1}_{c}(b,i,j)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8100000, "bbox": [[0.3, 0.284, 0.587, 0.326]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 6, "global_sentence_id": 221, "edu_l1_label": "IOS"}, {"txt": "$$d_{bg}(c)=\\frac {1}{N_{bg}}\\sum _{b,i,j}\\left(p_{bij}(c)\\vert \\mathcal {I}\\right)\\left(1-\\mathbf {1}_{c}(b,i,j)\\right)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8200000, "bbox": [[0.314, 0.325, 0.611, 0.365]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 7, "global_sentence_id": 222, "edu_l1_label": "IOS"}, {"txt": "$$\\mathcal {L}_{\\text {prior}2}=α_{3}\\mathcal {D}_{KL}\\left(d_{\\text {cone}}(c)\\\\ vertp_{0}^{\\text {cone}}(c)\\right)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8300000, "bbox": [[0.307, 0.363, 0.573, 0.388]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 8, "global_sentence_id": 223, "edu_l1_label": "IOS"}, {"txt": "$$+α_{4}\\mathcal {D}_{KL}\\left(d_{bg}(c)\\\\ vertp_{0}^{bg}(c)\\right)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8400000, "bbox": [[0.382, 0.386, 0.564, 0.404]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 224, "edu_l1_label": "IOS"}, {"txt": "$$\\mathcal {L}_{\\text {prior}}=\\mathcal {L}_{\\text {prior}1}+\\mathcal {L}_{\\text {prior}2}\\tag{2}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8500000, "bbox": [[0.314, 0.405, 0.883, 0.424]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 225, "edu_l1_label": "IOS"}, {"txt": "To discourage overly granular concept maps, where sampled concepts change frequently between adjacent grid lo-cation, we use a Concept cluster loss$\\mathcal {L}_{\\text {clu}}$, depicted in orange in Figure 2).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.115, 0.436, 0.885, 0.569]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 226, "edu_l1_label": "IOS"}, {"txt": "Overly granular concepts are un-desirable because we want concepts to represent larger anatomical structures spanning multiple grid locations rather than smaller, granular pixel patterns.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.115, 0.436, 0.885, 0.569]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 227, "edu_l1_label": "IOS"}, {"txt": "To enforce it, we use the one-hot vectors produced by the Concept Discretizer block.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.115, 0.436, 0.885, 0.569]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 228, "edu_l1_label": "IOS"}, {"txt": "We compute spatial derivatives between adjacent one-hot vectors along the width and height dimensions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.115, 0.436, 0.885, 0.569]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 229, "edu_l1_label": "IOS"}, {"txt": "If two adjacent locations share the same sampled concept their one-hot vectors are identical, resulting in a null spatial derivative.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.115, 0.436, 0.885, 0.569]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 230, "edu_l1_label": "IOS"}, {"txt": "Otherwise, the sampled concepts differ, leading to different one-hot vectors and a nonzero spatial deriva-tive.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.115, 0.436, 0.885, 0.569]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 231, "edu_l1_label": "IOS"}, {"txt": "By minimizing the mean square of the spatial derivative, we reduce the number of spatial transitions between sampled concepts,thereby creating larger concept \"islands”.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.115, 0.436, 0.885, 0.569]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 232, "edu_l1_label": "IOS"}, {"txt": "The mean is taken only over grid-locations pertaining to ultrasound cones.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8600000, "bbox": [[0.115, 0.436, 0.885, 0.569]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 233, "edu_l1_label": "IOS"}, {"txt": "The final loss function is a weighted sum of the described sub-losses, as shown in Equation (3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.114, 0.579, 0.885, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 234, "edu_l1_label": "IOS"}, {"txt": "Here,$_{c}(x$denotes the feature computed by the Feature Decoder block based on its input $x$, and $\\mathcal {I}_{\\text {rc}}\\left(\\left[x_{\\text {cocpt}}x_{\\text {ty}}\\right]\\right)$represents the reconstructed image based on latent space components $x_{\\text {concept}}$ and $x_{\\text {style}}.$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8700000, "bbox": [[0.114, 0.579, 0.885, 0.621]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 235, "edu_l1_label": "IOS"}, {"txt": "$$\\mathcal {L}=\\beta _{1}\\mathcal {L}_{img}\\left(\\mathcal {I}_{\\text {rec}}\\left(x_{\\text {stem}}\\right),\\mathcal {I}\\right)+$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.297, 0.625, 0.502, 0.641]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 13, "global_sentence_id": 236, "edu_l1_label": "IOS"}, {"txt": "$$\\beta _{2}\\mathcal {L}_{img}\\left(\\mathcal {I}_{\\text {rec}}\\left(\\left[x_{\\text {concept}},x_{\\text {style}}\\right]\\right),\\mathcal {I}\\right)+$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8800000, "bbox": [[0.326, 0.643, 0.571, 0.66]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 237, "edu_l1_label": "IOS"}, {"txt": "$$\\beta _{3}\\mathcal {L}_{img}\\left(\\mathcal {I}_{\\text {rec}}\\left(\\left[x_{\\text {concept}},x_{\\text {style}}:=0\\right]\\right),\\mathcal {I}_{\\text {blurred}}\\right)+$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.326, 0.66, 0.649, 0.678]]}]}, "tags": ["equation"], "label": "O", "web_segment_id": 15, "global_sentence_id": 238, "edu_l1_label": "EDU_O"}, {"txt": "$$\\beta _{4}\\mathcal {L}_{\\text {feat}}\\left(f_{\\text {dec}}\\left(\\left[x_{\\text {concept}},x_{\\text {style}}\\right]\\right),f_{\\text {stem}}(\\mathcal {I})\\right)+$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.326, 0.678, 0.626, 0.695]]}]}, "tags": ["equation"], "label": "O", "web_segment_id": 16, "global_sentence_id": 239, "edu_l1_label": "EDU_O"}, {"txt": "$$\\beta _{5}\\mathcal {L}_{\\text {feat}}\\left(f_{\\text {dec}}\\left(\\left[x_{\\text {concept}},x_{\\text {style}}:=0\\right]\\right),f_{\\text {stem}}\\left(\\mathcal {I}_{\\text {blurred}}\\right)\\right)+\\tag{3}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.326, 0.695, 0.885, 0.713]]}]}, "tags": ["equation"], "label": "O", "web_segment_id": 17, "global_sentence_id": 240, "edu_l1_label": "EDU_O"}, {"txt": "$$\\beta _{6}\\mathcal {L}_{\\text {style}}\\left(x_{\\text {style}}\\right)+$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.326, 0.713, 0.45, 0.73]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 18, "global_sentence_id": 241, "edu_l1_label": "EDU_O"}, {"txt": "$$\\beta _{7}\\mathcal {L}_{cc}\\left(p(c)\\vert \\mathcal {I},p_{ema}(c)\\vert \\mathcal {I}_{\\text {augm}}\\right)+$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.326, 0.73, 0.543, 0.747]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 19, "global_sentence_id": 242, "edu_l1_label": "IOS"}, {"txt": "$$\\beta _{8}\\mathcal {L}_{\\text {prior}}(p(c)\\vert \\mathcal {I})+$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.326, 0.748, 0.455, 0.765]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 20, "global_sentence_id": 243, "edu_l1_label": "EDU_O"}, {"txt": "$$\\beta _{9}\\mathcal {L}_{\\text {cluster}}\\left(x_{\\text {concept}}\\right)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 8900000, "bbox": [[0.326, 0.766, 0.464, 0.783]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 21, "global_sentence_id": 244, "edu_l1_label": "EDU_O"}, {"txt": "3.3 Pre-Training Data and Hyper-Parameters", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9000000, "bbox": [[0.117, 0.799, 0.445, 0.808]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 22, "global_sentence_id": 245, "edu_l1_label": "IOS"}, {"txt": "To pre-train ConceptVAE, we used 72,500 frames extracted from 7500 echocardiography video acquisitions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.117, 0.824, 0.85, 0.833]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 23, "global_sentence_id": 246, "edu_l1_label": "IOS"}, {"txt": "The dataset consisted exclusively of 2D B-mode echocardiographies featuring apical or short-axis views.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9100000, "bbox": [[0.85, 0.824, 0.881, 0.833], [0.117, 0.839, 0.772, 0.847]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 23, "global_sentence_id": 247, "edu_l1_label": "IOS"}, {"txt": "We used the AdamW optimizer with a constant learning rate of$10^{-4}$, a batch size of 64 images, and a weight decay of$5x10^{-3}$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.115, 0.857, 0.884, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 24, "global_sentence_id": 248, "edu_l1_label": "IOS"}, {"txt": "During training, we apply random image augmentations using the following transformations: rotation,translation, shearing, zooming, gamma contrast adjustment, and Gaussian blurring.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.115, 0.857, 0.884, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 24, "global_sentence_id": 249, "edu_l1_label": "IOS"}, {"txt": "Pre-training is performed until convergence, which is equivalent to the loss function no longer varying significantly.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9200000, "bbox": [[0.115, 0.857, 0.884, 0.911]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 24, "global_sentence_id": 250, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.494, 0.936, 0.506, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 25, "global_sentence_id": 251, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9300000, "bbox": [[0.169, 0.045, 0.829, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 252, "edu_l1_label": "EDU_O"}, {"txt": "4 Latent Space and Qualitative Analysis", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9400000, "bbox": [[0.116, 0.092, 0.465, 0.103]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 2, "global_sentence_id": 253, "edu_l1_label": "BOS"}, {"txt": "Upon convergence, the pre-trained model can be qualitatively analysed by examining the inferred concept probability maps for test images.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.115, 0.124, 0.885, 0.189]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 254, "edu_l1_label": "IOS"}, {"txt": "A straightforward method to implement this involves selecting the most likely concept at each grid location$\\left(c_{ij}=\\arg \\right.$ $\\left.\\max p_{ij}(c)\\right)$and overlaying the up-sampled concept indices grid onto the initial input images,as in Figure 3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.115, 0.124, 0.885, 0.189]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 255, "edu_l1_label": "IOS"}, {"txt": "The probability of the most likely concept$p\\left(c_{ij}\\right)=\\max p(c)$at each location $i,j$ can be incorporated in the vvisualisations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9500000, "bbox": [[0.115, 0.124, 0.885, 0.189]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 256, "edu_l1_label": "IOS"}, {"txt": "By examining a random selection of samples illustrated in Figure 3, we can make the following initial observations:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9600000, "bbox": [[0.117, 0.2, 0.869, 0.209]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 257, "edu_l1_label": "IOS"}, {"txt": "·The prior constraint, which requires regions outside the cone to be modeled solely by the first concept(i.e.,the background concept at index 0) is generally respected.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.161, 0.23, 0.883, 0.237], [0.176, 0.242, 0.563, 0.251]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 258, "edu_l1_label": "IOS"}, {"txt": "Exceptions occur at grid locations in the cone's proximity,particularly at the boundaries between the cone and thebackground.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.563, 0.242, 0.882, 0.251], [0.176, 0.258, 0.705, 0.265]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 259, "edu_l1_label": "IOS"}, {"txt": "As these are transition re-gions, they are not particularly concerning, since the model's confidence is expected to be low for such re-gions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9700000, "bbox": [[0.705, 0.258, 0.882, 0.262], [0.182, 0.271, 0.881, 0.277], [0.176, 0.285, 0.217, 0.292]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 260, "edu_l1_label": "IOS"}, {"txt": "·Certain concepts are specialized for specific anatomical structures.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.159, 0.302, 0.885, 0.354]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 261, "edu_l1_label": "IOS"}, {"txt": "For example, concept $c_{11}$ models blood pools within the cone, concept$c_{1}$ represents the Left Ventricle (LV) free wall on the right hand size of the cone, concepts $c_{5}$and $c_{7}$ correspond to septum walls, and concept$c_{6}$ covers the right-heart side of the cone,among others.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9800000, "bbox": [[0.159, 0.302, 0.885, 0.354]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 262, "edu_l1_label": "IOS"}, {"txt": "·Certain concepts, such as e.g.,$c_{13}$ and$c_{14}$appear more isolated and spanning a single grid location.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.16, 0.362, 0.883, 0.415]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 263, "edu_l1_label": "IOS"}, {"txt": "By qual-itatively assessing multiple input samples, we hypothesise these concepts encode information about the local anatomical shapes of nearby larger concept islands.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.16, 0.362, 0.883, 0.415]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 264, "edu_l1_label": "IOS"}, {"txt": "It appears these concepts have larger confidence assigned to them than the average confidence inside larger concept islands.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.16, 0.362, 0.883, 0.415]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 265, "edu_l1_label": "IOS"}, {"txt": "We term them modifier concepts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 9900000, "bbox": [[0.16, 0.362, 0.883, 0.415]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 266, "edu_l1_label": "IOS"}, {"txt": "To qualitatively evaluate the impact of modifier concepts, the greedy concept map of the middle image of Figure 3 is modified in two ways, by swapping 2 modifier and 2 normal concepts:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.114, 0.432, 0.885, 0.526]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 267, "edu_l1_label": "IOS"}, {"txt": " first, (i) the modifier concepts$c_{13}$and$c_{14}$are swapped and the image is reconstructed without any style component$\\left(x_{\\text {st}}=0\\right)$and (ii) starting from the greedy map,concepts$c_{5}$and$c_{1}$are now swapped and the image is reconstructed in the same manner(with$\\left.x_{\\text {tyl}}:=0\\right)$The effects are illustrated in Figure 4: in the former case only minor shape modifications are observed around the grid locations where concept swaps were done.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.114, 0.432, 0.885, 0.526]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 268, "edu_l1_label": "IOS"}, {"txt": "In the latter case, the effect is more significant, as it appears that the LV free wall changed place with the septum.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10000000, "bbox": [[0.114, 0.432, 0.885, 0.526]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 269, "edu_l1_label": "IOS"}, {"txt": "While modifier concepts seem to function primarily in a styling role, it is important to note that the Feature Decoder block processes$kxk$regions of adjacent concept locations to reconstruct the low-level image features$x_{\\text {stem}}$.This means that neighboring concepts cooperate to form larger and more complex anatomical structures.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.535, 0.885, 0.643]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 270, "edu_l1_label": "IOS"}, {"txt": "Modifier concepts are not devoid of semantic meaning, as our experiments showed that replacing a specialized anatomical concept like $c_{1}$with a modifier concept still yields similar reconstructions, albeit with slight alterations in shape and/or region brightness patterns.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.535, 0.885, 0.643]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 271, "edu_l1_label": "IOS"}, {"txt": "Additionally, although reconstructing images based solely on $x_{\\text {concept}}$ may produce rough outlines of echocardiographies, suggesting that concepts only encode basic brightness blobs, we later show that the concept probability grid contains rich semantics that can be used in tasks such as instance retrieval (Section 5.1).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10100000, "bbox": [[0.115, 0.535, 0.885, 0.643]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 272, "edu_l1_label": "IOS"}, {"txt": "The region size$k$ influences the operation and semantics of concepts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.115, 0.65, 0.885, 0.681]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 273, "edu_l1_label": "IOS"}, {"txt": "In the extreme case of$=1$,there is no concept cooperation and to match$\\mathcal {I}_{\\text {rc}}\\left(\\left[x_{\\text {cocpt}},x_{\\text {tyl}}:=0\\right]\\right)$with$\\mathcal {I}_{\\text {blurred}}$,concepts may be incentivised to encode blurred", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10200000, "bbox": [[0.115, 0.65, 0.885, 0.681]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 274, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.117, 0.703, 0.366, 0.86]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 11, "global_sentence_id": 275, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.37, 0.703, 0.621, 0.86]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 12, "global_sentence_id": 276, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10300000, "bbox": [[0.623, 0.705, 0.873, 0.859]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 13, "global_sentence_id": 277, "edu_l1_label": "EDU_O"}, {"txt": "Figure 3: Concept maps for three randomly sampled inputs. The$16x$-stride concept grid is up-sampled to the original image size. The indices of the most likely concept for each grid location are displayed in red at the bottom-left of each location. The grid is color-coded according to concept indices for better visualisation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10400000, "bbox": [[0.115, 0.867, 0.885, 0.907]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 14, "global_sentence_id": 278, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.493, 0.936, 0.506, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 15, "global_sentence_id": 279, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.169, 0.045, 0.83, 0.059]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 280, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.121, 0.09, 0.372, 0.243]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 2, "global_sentence_id": 281, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.374, 0.09, 0.624, 0.245]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 3, "global_sentence_id": 282, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10500000, "bbox": [[0.628, 0.09, 0.877, 0.244]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 4, "global_sentence_id": 283, "edu_l1_label": "EDU_O"}, {"txt": "Figure 4: Effect of concept swapping. The left image is the reconstruction based only on the greedy concept map (with$\\left.x_{\\text {l}}=0\\right)$. The middle reconstruction illustrates the effect of swapping 2 modifier concepts, while the right reconstruction illustrates big changes induced by swapping two anatomy-specific concepts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10600000, "bbox": [[0.114, 0.253, 0.885, 0.294]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 5, "global_sentence_id": 284, "edu_l1_label": "EDU_O"}, {"txt": "pixel patterns instead of semantic content.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.324, 0.885, 0.418]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 285, "edu_l1_label": "IOS"}, {"txt": "At the other extreme, where $k$ equals the grid size, each grid location has a full receptivefield of view, meaning it can observe the concepts from all other grid locations, regardless of distances (similar to a self-attention layer [24]).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.324, 0.885, 0.418]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 286, "edu_l1_label": "IOS"}, {"txt": "This can be undesirable because the model may rely on non-local relations between concept placements instead of embedding semantic content within each concept.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.324, 0.885, 0.418]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 287, "edu_l1_label": "IOS"}, {"txt": "It would also hinder the extraction of local region descriptors, making it impossible to describe the content of an image crop without retaining the entire concept grid.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.324, 0.885, 0.418]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 288, "edu_l1_label": "IOS"}, {"txt": "Consequently, tasks such as region-based instance retrieval would be challenging, as it would not be clear how to construct descriptors focused on specific image regions.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10700000, "bbox": [[0.115, 0.324, 0.885, 0.418]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 289, "edu_l1_label": "IOS"}, {"txt": "We employed$k=5$,meaning the receptive field of view before the up-sampling layers inside the Feature Decoder block $5x5$grid locations of x$\\left.x_{\\text {latent}}\\right)$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.114, 0.427, 0.885, 0.495]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 290, "edu_l1_label": "IOS"}, {"txt": "The rationale is that $k$ should be large enough to allow $\\mathcal {I}_{\\text {ec}}\\left(\\left[x_{\\text {concept}}\\right.\\right.$ $\\left.\\left.x_{\\text {tyle}}:=0\\right]\\right)$to have smooth pixel-level transitions between adjacent concepts and thus be close to $\\mathcal {I}_{\\text {blurred}},$but small enough to enable the construction of granular region descriptors and prevent the model from ex-ploiting non-local relations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10800000, "bbox": [[0.114, 0.427, 0.885, 0.495]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 291, "edu_l1_label": "IOS"}, {"txt": "5 Quantitative Model Analysis", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 10900000, "bbox": [[0.116, 0.52, 0.39, 0.53]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 8, "global_sentence_id": 292, "edu_l1_label": "BOS"}, {"txt": "To assess the representation power of the model's latent space, its suitability as a general pre-training method, and the extent of content-style disentanglement, we employ a linear evaluation protocol tailored to SSL (e.g., [18,19,40]) on several distinct tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11000000, "bbox": [[0.117, 0.552, 0.881, 0.56], [0.116, 0.568, 0.881, 0.574], [0.118, 0.582, 0.257, 0.588]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 293, "edu_l1_label": "IOS"}, {"txt": "For comparison, we used a baseline model trained with Vicreg [20], featuring a ResNet50 encoder and a lightweight RefineNet decoder [41] for dense tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.117, 0.6, 0.882, 0.609], [0.118, 0.614, 0.383, 0.622]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 294, "edu_l1_label": "IOS"}, {"txt": "This model was pre-trained using the same dataset and configuration (e.g.,image sizes) as ConceptVAE (Section 3.3).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.383, 0.614, 0.883, 0.623], [0.117, 0.629, 0.399, 0.636]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 295, "edu_l1_label": "IOS"}, {"txt": "For all following evaluation tasks, weused the output of the second to last ResNet stage as the baseline latent space (as it has the same output stride as our proposed model).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11100000, "bbox": [[0.399, 0.629, 0.884, 0.636], [0.117, 0.641, 0.754, 0.65]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 10, "global_sentence_id": 296, "edu_l1_label": "IOS"}, {"txt": "The linear evaluation protocol involved freezing the backbone and training only a linear layer on top of the frozen embeddings for specific tasks ranging from object detection to semantic segmentation or OOD detection, as detailed in the following sections.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11200000, "bbox": [[0.117, 0.662, 0.881, 0.671], [0.117, 0.679, 0.881, 0.685], [0.117, 0.691, 0.283, 0.699]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 297, "edu_l1_label": "IOS"}, {"txt": "5.1 Region-Based Instance Retrieval", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11300000, "bbox": [[0.117, 0.722, 0.381, 0.731]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 12, "global_sentence_id": 298, "edu_l1_label": "IOS"}, {"txt": "Region-based instance retrieval involves searching a database of images for similar samples using only localized descriptors, such as pathologies or anomalies.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.117, 0.748, 0.88, 0.758], [0.117, 0.763, 0.42, 0.771]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 299, "edu_l1_label": "IOS"}, {"txt": "These methods can aid in clinical diagnosis, medical research,trainee education, and support other tasks by quickly identifying patients with similar anomalies, even when a diagnosis is not yet established [36, 42].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.42, 0.763, 0.881, 0.771], [0.117, 0.778, 0.882, 0.785], [0.118, 0.792, 0.301, 0.798]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 300, "edu_l1_label": "IOS"}, {"txt": "SSL methods are the most prevalent and effective, using the embeddings of a pre-trained model to cluster images and retrieve those most similar to a query image using nearest neighbors search [43].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11400000, "bbox": [[0.301, 0.792, 0.88, 0.799], [0.118, 0.806, 0.829, 0.812]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 301, "edu_l1_label": "IOS"}, {"txt": "To use ConceptVAE for this task, we generate image region descriptors by concatenating the$5x5$concept probability vectors from a$5x5$sub-grid centered around a selected query point.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11500000, "bbox": [[0.115, 0.822, 0.883, 0.852]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 302, "edu_l1_label": "IOS"}, {"txt": "The sub-grid provides context for the query point.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11500000, "bbox": [[0.115, 0.822, 0.883, 0.852]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 303, "edu_l1_label": "IOS"}, {"txt": "Using an input image of size (256, 320), the concept grid has an output stride of 16, resulting in a size of (16,20)concepts.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.115, 0.857, 0.885, 0.91]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 304, "edu_l1_label": "IOS"}, {"txt": "From each test image, we extract an array of (14, 18) key points (i.e., all points with a complete$5x$neighborhood).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.115, 0.857, 0.885, 0.91]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 305, "edu_l1_label": "IOS"}, {"txt": "Since the model was trained with 16 concepts and the descriptor uses $2$ $5x5$grid,each descriptor is a vector of size 400.For the baseline model, a similar searching mechanism was used, but the region descriptor was the", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11600000, "bbox": [[0.115, 0.857, 0.885, 0.91]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 15, "global_sentence_id": 306, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.491, 0.937, 0.509, 0.948]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 16, "global_sentence_id": 307, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.171, 0.045, 0.829, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 308, "edu_l1_label": "EDU_O"}, {"txt": "feature vector of a$1x1$feature map grid location.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.115, 0.093, 0.885, 0.119]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 309, "edu_l1_label": "IOS"}, {"txt": "A single grid location is sufficient for this model, since its feature representation is computed in a continuous manner, without discrete variables, with a sufficiently large field of view.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11700000, "bbox": [[0.115, 0.093, 0.885, 0.119]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 310, "edu_l1_label": "IOS"}, {"txt": "For instance retrieval, nearest-neighbor matching based on the Euclidean distance between descriptors can be em-ployed.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.117, 0.129, 0.881, 0.138], [0.118, 0.145, 0.169, 0.151]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 311, "edu_l1_label": "IOS"}, {"txt": "Initially, we conduict a qualitative analysis by randomly sampling images from the test set and manually se-lecting specific query points to analyze the results.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.169, 0.145, 0.879, 0.152], [0.118, 0.157, 0.449, 0.165]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 312, "edu_l1_label": "IOS"}, {"txt": "The descriptors corresponding to these selected query points were then used to search the database and retrieve samples with regions similar to the query points.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.449, 0.157, 0.881, 0.165], [0.118, 0.17, 0.73, 0.179]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 313, "edu_l1_label": "IOS"}, {"txt": "Figure 5 showcases six randomly sampled examples, which illustrate that the retrieved image regions align well with the query semantics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.73, 0.17, 0.881, 0.179], [0.117, 0.187, 0.857, 0.193]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 314, "edu_l1_label": "IOS"}, {"txt": "For example,the retrieved regions share the same cardiac chamber and view as the query points.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.857, 0.187, 0.882, 0.193], [0.117, 0.2, 0.714, 0.206]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 315, "edu_l1_label": "IOS"}, {"txt": "Moreover, the anatomical structures around the matched locations are visually similar to those in the query points.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11800000, "bbox": [[0.714, 0.2, 0.882, 0.206], [0.118, 0.213, 0.69, 0.22]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 316, "edu_l1_label": "IOS"}, {"txt": "For the retrieval task, the search is based solely on the concept descriptors This approach ensures that the retrieval process focuses on the semantic content rather than stylistic variations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 11900000, "bbox": [[0.117, 0.232, 0.882, 0.241], [0.117, 0.248, 0.579, 0.254]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 317, "edu_l1_label": "IOS"}, {"txt": "To quantitatively analyse this task, we use an independent test set of 450 images, totalling 113,400 region descriptors $(14·18·450)$ .Performing nearest neighbor search on this space is very fast.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.114, 0.266, 0.885, 0.388]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 318, "edu_l1_label": "IOS"}, {"txt": "The set includes four echocardiographic views (apical 2-, 3-, and 4-chamber views, and a short-axis view), with frames captured at end-diastole (ED) and end-systole (ES).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.114, 0.266, 0.885, 0.388]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 319, "edu_l1_label": "IOS"}, {"txt": "For the apical views, LV contour annotations were available, from which we extracted five key landmark points: left and right annulus, apex, mid-septum, and mid-free-wall.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.114, 0.266, 0.885, 0.388]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 320, "edu_l1_label": "IOS"}, {"txt": "We exploit these annotations to setup a retrieval tasks for these landmark points.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.114, 0.266, 0.885, 0.388]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 321, "edu_l1_label": "IOS"}, {"txt": "In total, there were 150 ED apical frames, each with five locations used as query points.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.114, 0.266, 0.885, 0.388]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 322, "edu_l1_label": "IOS"}, {"txt": "The search pool consisted of all 225 ES frames from all views, including the short-axis view.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.114, 0.266, 0.885, 0.388]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 323, "edu_l1_label": "IOS"}, {"txt": "A retrieval is considered a match if it corresponds to the ES image of the ED query and if the retrieved location is adjacent to the annotated landmark point.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12000000, "bbox": [[0.114, 0.266, 0.885, 0.388]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 324, "edu_l1_label": "IOS"}, {"txt": "We present the results in Table 1,which shows the Mean Average Precision (mAP) metrics for both models, computed using the top-5 search results.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12100000, "bbox": [[0.117, 0.397, 0.88, 0.406], [0.117, 0.414, 0.313, 0.42]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 325, "edu_l1_label": "IOS"}, {"txt": "We observe that ConceptVAE demonstrates more than double the performance of the baseline without any retraining, revealing two important observations about ConceptVAE:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12100000, "bbox": [[0.313, 0.414, 0.881, 0.42], [0.117, 0.426, 0.702, 0.434]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 326, "edu_l1_label": "IOS"}, {"txt": "·The concept probability grid indeed encodes semantic content and thus $x_{\\text {concept}}$ functions as a spatial ar-rangement of concepts, which for ConceptVAE are defined as composable higher-level discrete features.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12200000, "bbox": [[0.16, 0.449, 0.883, 0.473]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 327, "edu_l1_label": "IOS"}, {"txt": "·ConceptVAE shows promising results for zero-shot instance retrieval based on local-region queries, unlike more traditional approaches that operate at the image level and need additional fine-tuning.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12300000, "bbox": [[0.161, 0.482, 0.881, 0.489], [0.176, 0.497, 0.769, 0.503]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 328, "edu_l1_label": "IOS"}, {"txt": "Table 1: Region-based instance retrieval mAP metric values.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12400000, "bbox": [[0.301, 0.532, 0.699, 0.545]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 9, "global_sentence_id": 329, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12500000, "bbox": [[0.347, 0.549, 0.652, 0.676]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 10, "global_sentence_id": 330, "edu_l1_label": "EDU_O"}, {"txt": "5.2 Semantic Segmentation", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12600000, "bbox": [[0.116, 0.7, 0.317, 0.71]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 11, "global_sentence_id": 331, "edu_l1_label": "IOS"}, {"txt": "The second task we employ is semantic segmentation, where features from the pre-trained models are projected to match a down-sampled ground-truth mask.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12700000, "bbox": [[0.116, 0.725, 0.882, 0.735], [0.118, 0.742, 0.399, 0.749]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 332, "edu_l1_label": "IOS"}, {"txt": "For this task, we use five labels corresponding to heart chambers: left and right ventricles and atria in apical views (A2C, A3C, and A4C views) and the left ventricle in the short-axis (SAX)view.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12700000, "bbox": [[0.399, 0.742, 0.882, 0.748], [0.117, 0.755, 0.882, 0.763], [0.117, 0.769, 0.151, 0.776]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 333, "edu_l1_label": "IOS"}, {"txt": "Starting with frozen model latent codes, a linear 2D convolutional kernel is fitted to predict low-resolution (stride $16x)$segmentation maps.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.114, 0.787, 0.885, 0.853]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 334, "edu_l1_label": "IOS"}, {"txt": "Channel-wise softmax activation is applied on top of the predicted linear logits, as shown in Equation(4).Here,$p_{ij}(s$represents the probability that location $i,j$to contain chamber $S$,$x_{\\text {ipu}}$is the frozen latent feature map,and$W_{k}$and $w_{b}$ are the kernel weight matrix and bias vector, respectively, and containing 6 rows for the 5 prediction targets and one background channel.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12800000, "bbox": [[0.114, 0.787, 0.885, 0.853]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 335, "edu_l1_label": "IOS"}, {"txt": "$$p_{ij}(s)=\\text {Softmax}\\left(W_{k}·x_{\\text {input}}^{ij}+w_{b}\\right)\\tag{4}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 12900000, "bbox": [[0.369, 0.856, 0.883, 0.878]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 14, "global_sentence_id": 336, "edu_l1_label": "IOS"}, {"txt": "The ground-truth was obtained by down-sampling the full scale chamber masks using the area interpolation method.We perform training on an independent set consisting of 5000 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Region-based instance retrieval using conceptual search. The leftmost column displays query images, while the last three columns show the top-3 kNN retrieval resulIts. Red dots indicate the centers of the query and matched descriptor regions. Below each image, the view and cardias phase are displayed. Matches marked with an asterisk $(*)$are from the same acquisition as the query image, but from a different cardiac phase.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 13900000, "bbox": [[0.115, 0.902, 0.885, 0.956]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 31, "global_sentence_id": 370, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14000000, "bbox": [[0.171, 0.045, 0.829, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 371, "edu_l1_label": "EDU_O"}, {"txt": "independent test set of 500 samples.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14100000, "bbox": [[0.115, 0.093, 0.885, 0.12]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 372, "edu_l1_label": "IOS"}, {"txt": "The Dice loss was employed as in Equation (5), where$p_{ij}$ and$t_{ij}$ are the predicted and target chamber presence probabilities at location $i,j$,respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14100000, "bbox": [[0.115, 0.093, 0.885, 0.12]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 373, "edu_l1_label": "IOS"}, {"txt": "$$\\mathcal {L}_{\\text {Dice}}=1-\\frac {2\\sum _{i,j}p_{ij}t_{ij}}{\\sum _{i,j}p_{ij}^{2}+t_{ij}^{2}}\\tag{5}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14200000, "bbox": [[0.405, 0.129, 0.885, 0.164]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 3, "global_sentence_id": 374, "edu_l1_label": "IOS"}, {"txt": "We explore three scenarios:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.114, 0.178, 0.885, 0.258]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 375, "edu_l1_label": "IOS"}, {"txt": " (i) using only the concepts $x_{\\text {concept}}$ as input, (ii) using the full latent space $\\left(x_{\\text {latent}}=\\right.$ $\\left.\\left[x_{\\text {concp}}x_{\\text {}}\\right]\\right)$as input, and (iii) using only the style map$x_{\\text {style}}$as input.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.114, 0.178, 0.885, 0.258]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 376, "edu_l1_label": "IOS"}, {"txt": "We also investigate the influence of the linear kernel spatial size $k$ for the Feature decoder block on the evaluation scores, with different ranges,$k\\in \\{1,3,5,7,9\\}$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.114, 0.178, 0.885, 0.258]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 377, "edu_l1_label": "IOS"}, {"txt": "To investigate the effect of the proposed training procedure, we first compare with a randomly initialized frozen model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.114, 0.178, 0.885, 0.258]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 378, "edu_l1_label": "IOS"}, {"txt": "The same random seed, dataset and number of linear-classifier optimization iterations were used throughout all scenarios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14300000, "bbox": [[0.114, 0.178, 0.885, 0.258]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 379, "edu_l1_label": "IOS"}, {"txt": "Table 2 presents the linear evaluation results in terms of Dice Loss, which is equivalent to subtracting the Dice Score from 1.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.115, 0.267, 0.885, 0.337]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 380, "edu_l1_label": "IOS"}, {"txt": "For both types of models (trained and randomly initialized) and across all$x_{inp}$outsetups,larger values of $k$ result in lower test set losses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.115, 0.267, 0.885, 0.337]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 381, "edu_l1_label": "IOS"}, {"txt": "This is expected, as larger kernels capture more local information, and concepts cooperate locally to form larger anatomical structures.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.115, 0.267, 0.885, 0.337]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 382, "edu_l1_label": "IOS"}, {"txt": "When$x_{\\text {input}}$ $:=x_{\\text {latent}}$and the model is trained, the loss decreases only marginally when $k$ exceeds 5 (i.e., the receptive field size used in the Feature Decoder block).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14400000, "bbox": [[0.115, 0.267, 0.885, 0.337]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 5, "global_sentence_id": 383, "edu_l1_label": "IOS"}, {"txt": "In al1 scenarios, ConceptVAE achieves lower test losses.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.115, 0.343, 0.885, 0.466]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 384, "edu_l1_label": "IOS"}, {"txt": "For both models, the lowest losses occur when$x_{\\text {input}}:=$ $x_{\\text {latent}}$ (i.e., both concepts and styles are used for segmentation).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.115, 0.343, 0.885, 0.466]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 385, "edu_l1_label": "IOS"}, {"txt": "When using only the concepts from the trained model, the losses are slightly higher but still significantly lower than when using only styles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.115, 0.343, 0.885, 0.466]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 386, "edu_l1_label": "IOS"}, {"txt": "Additionally, when $x_{\\text {input}}:=x_{\\text {styles}},$the differences between the ConceptVAE and the random-init model are the smallest among all three input scenarios.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.115, 0.343, 0.885, 0.466]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 387, "edu_l1_label": "IOS"}, {"txt": "This result brings further evidence that $x_{\\text {concept}}$ contains semantic information useful for downstream tasks like segmentation, while:$x_{\\text {y}}$focuses on local stylistic features.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.115, 0.343, 0.885, 0.466]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 388, "edu_l1_label": "IOS"}, {"txt": "Moreover, there are virtually no differences in losses between using only $x_{\\text {concept}}$ or only$x_{\\text {yle}}$for the randomly initialised model, whereas these two scenarios yield substantial differences for ConceptVAE.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.115, 0.343, 0.885, 0.466]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 389, "edu_l1_label": "IOS"}, {"txt": "This highlights the impact of our proposed unsupervised training framework on the model's ability to separate concepts from styles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14500000, "bbox": [[0.115, 0.343, 0.885, 0.466]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 6, "global_sentence_id": 390, "edu_l1_label": "IOS"}, {"txt": "We also evaluate against the Vicreg baseline model using a similar procedure, but only for the$1x1$sized convolutional kernel (details provided in Section 4), and illustrate the outcomes in Table 2.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.115, 0.473, 0.885, 0.527]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 391, "edu_l1_label": "IOS"}, {"txt": "We note that ConceptVAE, using trained concepts and$5x5$windows or larger, achieves superior Dice metrics.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.115, 0.473, 0.885, 0.527]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 392, "edu_l1_label": "IOS"}, {"txt": "This highlights the benefits of content-style disentanglement and the model's robustness against feature collapse.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14600000, "bbox": [[0.115, 0.473, 0.885, 0.527]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 393, "edu_l1_label": "IOS"}, {"txt": "Table 2: Dice loss on the semantic segmentation test set when using $x_{\\text {concept}}$ only,$x_{\\text {yl}}$only,or $x_{\\text {concept}}$ along with $x_{\\text {style}}$.For each row, the lowest Dice losses are marked with bold.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14700000, "bbox": [[0.114, 0.551, 0.883, 0.581]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 8, "global_sentence_id": 394, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14800000, "bbox": [[0.249, 0.582, 0.741, 0.822]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 9, "global_sentence_id": 395, "edu_l1_label": "EDU_O"}, {"txt": "5.3 Near-OOD Detection", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 14900000, "bbox": [[0.116, 0.847, 0.299, 0.856]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 10, "global_sentence_id": 396, "edu_l1_label": "IOS"}, {"txt": "To assess the proposed model's capability to detect OOD samples, we employed a test set comprising only parasternal long-axis (PLAX) views.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.116, 0.872, 0.879, 0.881], [0.118, 0.886, 0.283, 0.895]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 397, "edu_l1_label": "IOS"}, {"txt": "Unlike the test set from Section 5.1, which includes only apical and short-axis acquisitions,this set is considered OOD because, although it contains echocardiographies, the views are different.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.283, 0.886, 0.883, 0.896], [0.118, 0.901, 0.779, 0.909]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 398, "edu_l1_label": "IOS"}, {"txt": "The aim of this", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15000000, "bbox": [[0.779, 0.901, 0.88, 0.908]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 399, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.492, 0.938, 0.509, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 12, "global_sentence_id": 400, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.171, 0.045, 0.829, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 401, "edu_l1_label": "EDU_O"}, {"txt": "analysis is to determine whether the latent space features can differentiate between the two data distributions(i.e.,apical and SAX versus PLAX views).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15100000, "bbox": [[0.117, 0.097, 0.884, 0.104], [0.117, 0.111, 0.364, 0.121]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 402, "edu_l1_label": "IOS"}, {"txt": "Most OOD methods are designed to work with supervised classification models (e.g., [44,45]), thus requiring explicit labeling either for in-domain classes or for flagging outlier samples.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15200000, "bbox": [[0.115, 0.127, 0.885, 0.209]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 403, "edu_l1_label": "IOS"}, {"txt": "One method that does not require any labels and allows for fast log-likelihood evaluation with respect to the underlying data distribution is Normalising Flows (NFs).To this end, linear NFs [46] were fitted solely on the frozen embeddings of in-distribution data (i.e., apical and SAX views) for both the proposed and baseline models.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15200000, "bbox": [[0.115, 0.127, 0.885, 0.209]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 404, "edu_l1_label": "IOS"}, {"txt": "The NF took the form of Equation (6),where $x$represents an input derived from the latent space,$y$ is the transformed variable, and $A,b$ are trainable parameters.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15200000, "bbox": [[0.115, 0.127, 0.885, 0.209]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 405, "edu_l1_label": "IOS"}, {"txt": "$$y=Ax+b$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15300000, "bbox": [[0.426, 0.216, 0.511, 0.23]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 4, "global_sentence_id": 406, "edu_l1_label": "IOS"}, {"txt": "$$\\ln p(x)=\\ln p_{\\text {prior}}(y)+\\ln \\vert \\text {det}A\\vert\\tag{6}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15400000, "bbox": [[0.389, 0.232, 0.883, 0.25]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 5, "global_sentence_id": 407, "edu_l1_label": "IOS"}, {"txt": "$$p_{\\text {prior}}(y)=\\mathcal {N}(y\\vert \\mathbf {0},I)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15500000, "bbox": [[0.375, 0.25, 0.526, 0.268]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 6, "global_sentence_id": 408, "edu_l1_label": "IOS"}, {"txt": "For ConceptVAE,$x$ is formed by concatenating a$5x5$window of concept probabilities, excluding the style compo-nent.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.115, 0.278, 0.885, 0.375]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 409, "edu_l1_label": "IOS"}, {"txt": "For the baseline model, $x$ is the feature embedding of a single location from the latent space feature grid.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.115, 0.278, 0.885, 0.375]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 410, "edu_l1_label": "IOS"}, {"txt": "For all spatial locations corresponding to ultrasound cones within the latent space grid, and for all training data, the region$($ $)$descriptors $x$ were extracted and fed into the NF to maximize lnp $p$ for in-distribution data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.115, 0.278, 0.885, 0.375]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 411, "edu_l1_label": "IOS"}, {"txt": "The same training data as in Section 5.2 was used to fit the NFs (i.e., only apical and SAX views).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.115, 0.278, 0.885, 0.375]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 412, "edu_l1_label": "IOS"}, {"txt": "After the NFs converged, an image-level score was computed for each test sample by averaging the $\\ln p(x)$ scores for all grid locations pertaining to the ultrasound cone.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15600000, "bbox": [[0.115, 0.278, 0.885, 0.375]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 7, "global_sentence_id": 413, "edu_l1_label": "IOS"}, {"txt": "Two sets of image-level scores were computed, one for in-distribution apical and SAX views and one for OOD PLAX views.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.115, 0.382, 0.885, 0.422]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 414, "edu_l1_label": "IOS"}, {"txt": "ROC curves were used to assess the score separability between the two sets using ConceptVAE and the Vicreg baseline (Figure 6).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.115, 0.382, 0.885, 0.422]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 415, "edu_l1_label": "IOS"}, {"txt": "ConceptVAE has an area-under-curve of 0.753, being $10\\%$larger than the baseline (with 0.655).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15700000, "bbox": [[0.115, 0.382, 0.885, 0.422]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 416, "edu_l1_label": "IOS"}, {"txt": "In contrast to the proposed ConceptVAE, the baseline model had access to PLAX data during its development (as we used a vast collection of many echocardiography types to pretrain the baseline model, following common practices for classical self-supervized pretraining regarding datasetsizes and variability, therefore the PLAX view is not OOD for the baseline model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.114, 0.431, 0.885, 0.539]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 417, "edu_l1_label": "IOS"}, {"txt": "Also, the contrastive objective used for developing the baseline model should promote feature clustering w.r.t.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.114, 0.431, 0.885, 0.539]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 418, "edu_l1_label": "IOS"}, {"txt": "data sub-groups (e.g., anatomical views).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.114, 0.431, 0.885, 0.539]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 419, "edu_l1_label": "IOS"}, {"txt": "Despite this fact,ConceptVAE produces local embeddings that are more separable between echocardiographic views (even near-$OOD$ ones), again indicating a reduction of feature collapse due to the content-style disentanglement.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.114, 0.431, 0.885, 0.539]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 420, "edu_l1_label": "IOS"}, {"txt": "This behavior of embeddings separability even for near-OOD data does not usually manifest for regular deep-neural networks [47].", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15800000, "bbox": [[0.114, 0.431, 0.885, 0.539]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 9, "global_sentence_id": 421, "edu_l1_label": "IOS"}, {"txt": "5.4 Aortic Valve Detection", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 15900000, "bbox": [[0.117, 0.558, 0.31, 0.567]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 10, "global_sentence_id": 422, "edu_l1_label": "IOS"}, {"txt": "To further evaluate the generalization capability of ConceptVAE, we aim to detect latent space grid locations corre-sponding to the aortic valve (AV) region in views not used during pre-training (i.e., PLAX).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.116, 0.583, 0.882, 0.589], [0.118, 0.6, 0.721, 0.605]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 423, "edu_l1_label": "IOS"}, {"txt": "Similarly to Section 5.2,for this task we train a linear convolutional layer on top of frozen embeddings to perform a proxy object detection task.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16000000, "bbox": [[0.721, 0.6, 0.882, 0.607], [0.117, 0.611, 0.882, 0.62]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 424, "edu_l1_label": "IOS"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16100000, "bbox": [[0.291, 0.645, 0.714, 0.858]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 12, "global_sentence_id": 425, "edu_l1_label": "EDU_O"}, {"txt": "Figure 6: The ROC curves comparison between ConceptVAE and the Vicreg baseline model, for distinguishing in-distribution echocardiographic views from OOD PLAX ones. ConceptVAE has an AuROC score of 0.753, while the Vicreg baseline has an AuROC of 0.655.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16200000, "bbox": [[0.115, 0.867, 0.885, 0.906]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 13, "global_sentence_id": 426, "edu_l1_label": "EDU_O"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.492, 0.938, 0.509, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 14, "global_sentence_id": 427, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16300000, "bbox": [[0.171, 0.045, 0.829, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 428, "edu_l1_label": "EDU_O"}, {"txt": "Each testing sample has a bounding box annotation around the AV along with a label indicating if it's open or closed (depending on the cardiac phase depicted in the test image).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16400000, "bbox": [[0.115, 0.094, 0.885, 0.174]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 429, "edu_l1_label": "IOS"}, {"txt": "We downsized the bounding boxes to the output stride of the latent space and used an overlap threshold $t$ to determine the objectness [48] of each latent space grid location,i.e.,if the down-sampled bounding box overlaps a grid location with a ratio larger than $t$ then that grid location objectness is set as 1, otherwise 0.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16400000, "bbox": [[0.115, 0.094, 0.885, 0.174]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 430, "edu_l1_label": "IOS"}, {"txt": "Moreover, for each object grid location the newly added convolutional layer also predicts the AV state (open or closed).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16400000, "bbox": [[0.115, 0.094, 0.885, 0.174]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 431, "edu_l1_label": "IOS"}, {"txt": "For ConceptVAE, the input to the linear layer isa$5x5$window of both concept probabilities and associated styles for the concepts having the highest probability.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16500000, "bbox": [[0.114, 0.182, 0.885, 0.251]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 432, "edu_l1_label": "IOS"}, {"txt": "The output consists of 3 channels, one for classifying objectness and the other two for classifying the AV state.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16500000, "bbox": [[0.114, 0.182, 0.885, 0.251]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 433, "edu_l1_label": "IOS"}, {"txt": "For the baseline Vicreg model, the setup is similar, but the input is the feature vector of a 1x1 latent space grid location (see Section 4 for details).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16500000, "bbox": [[0.114, 0.182, 0.885, 0.251]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 434, "edu_l1_label": "IOS"}, {"txt": "Balanced binary cross-entropy losses are employed to train both objectives (i.e., detection and labeling).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16500000, "bbox": [[0.114, 0.182, 0.885, 0.251]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 435, "edu_l1_label": "IOS"}, {"txt": "The results are illustrated in Table 3.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16600000, "bbox": [[0.115, 0.259, 0.885, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 436, "edu_l1_label": "IOS"}, {"txt": "The mAP scores are close (with the baseline slightly better by $1.6\\%$ mAP),while the objectiveness AP is much larger for our proposed model$(+12\\%)$.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16600000, "bbox": [[0.115, 0.259, 0.885, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 437, "edu_l1_label": "IOS"}, {"txt": "This is because our model does a better job in locating Aortic Valve grid positions, but somewhat lags in correctly classifying the AV state for the detected AV locations.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16600000, "bbox": [[0.115, 0.259, 0.885, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 438, "edu_l1_label": "IOS"}, {"txt": "We hypothesise that locating the AV can be done by analyzing concepts (e.g., exploiting a linear separability of concept probabilities w.r.t.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16600000, "bbox": [[0.115, 0.259, 0.885, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 439, "edu_l1_label": "IOS"}, {"txt": "AV presence) while the AV state can be inferred from the style component of the latent space.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16600000, "bbox": [[0.115, 0.259, 0.885, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 440, "edu_l1_label": "IOS"}, {"txt": "To test this, we trained a new linear layer only on the concept components of the latent space and observe a severe degradation in label classification performance while retaining the objectness classification performance.The previous section revealed that the detected concepts on the near-OoD PLAX views are still descriptive of the image's semantics; however, the style component may not fully capture all relevant fine details, since the proposed model was not trained on PLAX views as opposed to the baseline model.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16600000, "bbox": [[0.115, 0.259, 0.885, 0.395]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 4, "global_sentence_id": 441, "edu_l1_label": "IOS"}, {"txt": "Table 3: Mean average precision scores for object detection on PLAX views.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16700000, "bbox": [[0.247, 0.421, 0.751, 0.432]]}]}, "tags": ["table_caption"], "label": "table_title", "web_segment_id": 5, "global_sentence_id": 442, "edu_l1_label": "EDU_O"}, {"txt": "table", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16800000, "bbox": [[0.319, 0.438, 0.68, 0.544]]}]}, "tags": ["table"], "label": "table", "web_segment_id": 6, "global_sentence_id": 443, "edu_l1_label": "EDU_O"}, {"txt": "5.5 Style-Based Synthetic Data Generation", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 16900000, "bbox": [[0.116, 0.571, 0.424, 0.58]]}]}, "tags": ["title"], "label": "title2", "web_segment_id": 7, "global_sentence_id": 444, "edu_l1_label": "IOS"}, {"txt": "We further explore how style information can be used to generate synthetic data.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.115, 0.597, 0.885, 0.649]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 445, "edu_l1_label": "IOS"}, {"txt": "Such data can be valuable for creating inputs conditioned by patient attributes, such as generating images with more textured walls.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.115, 0.597, 0.885, 0.649]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 446, "edu_l1_label": "IOS"}, {"txt": "To achieve this, we leverage the known range of$x_{\\text {l}}$(since the constraint$\\mathcal {L}_{\\text {l}}$is enforced during training), and investigate style-based image generation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.115, 0.597, 0.885, 0.649]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 447, "edu_l1_label": "IOS"}, {"txt": "This involIves adding Gaussian noise at various levels $\\beta$ as described in Equation (7):", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17000000, "bbox": [[0.115, 0.597, 0.885, 0.649]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 8, "global_sentence_id": 448, "edu_l1_label": "IOS"}, {"txt": "$$n\\sim \\mathcal {N}(\\mathbf {0},I)$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17100000, "bbox": [[0.455, 0.658, 0.543, 0.674]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 9, "global_sentence_id": 449, "edu_l1_label": "IOS"}, {"txt": "$$x_{\\text {style}}^{*}=\\frac {x_{\\text {style}}+\\beta n}{\\sqrt {1+\\beta ^{2}}}\\tag{7}$$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17200000, "bbox": [[0.426, 0.678, 0.885, 0.712]]}]}, "tags": ["equation"], "label": "formula", "web_segment_id": 10, "global_sentence_id": 450, "edu_l1_label": "IOS"}, {"txt": "where$\\beta$ controls the amount of noise injected into$x_{\\text {style}}^{*}$", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17300000, "bbox": [[0.115, 0.72, 0.492, 0.736]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 11, "global_sentence_id": 451, "edu_l1_label": "IOS"}, {"txt": "WVe then reconstruct the image using these style attributes.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17400000, "bbox": [[0.114, 0.741, 0.885, 0.809]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 452, "edu_l1_label": "IOS"}, {"txt": "Randomly sampled reconstructions w.r.t.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17400000, "bbox": [[0.114, 0.741, 0.885, 0.809]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 453, "edu_l1_label": "IOS"}, {"txt": "multiple $\\beta$ (reusing the same sampled $n$) are illustrated in Figure 7, while Figure 8 illustrates reconstructions with multiple noise samplings $n_{k}$ $\\sim \\mathcal {N}(\\mathbf {0}\\bar {I}$and fixed$\\beta =0.$ $3$ .", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17400000, "bbox": [[0.114, 0.741, 0.885, 0.809]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 454, "edu_l1_label": "IOS"}, {"txt": "We observe that even with relatively high $\\beta$ values, the reconstructions closely resemble the unaltered concepts, while the image textures are modified (with minimal changes to anatomical structures in terms of their shape or placement).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17400000, "bbox": [[0.114, 0.741, 0.885, 0.809]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 455, "edu_l1_label": "IOS"}, {"txt": "This leads to the following observations:", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17400000, "bbox": [[0.114, 0.741, 0.885, 0.809]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 12, "global_sentence_id": 456, "edu_l1_label": "IOS"}, {"txt": "·The model usesxcc$x_{\\text {concept}}$to decode semantic content, such as anatomical structures like chamber walls, blood pools, and valves,while$x_{\\text {style}}$is used to particularize local textures, shadows and speckles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17500000, "bbox": [[0.16, 0.825, 0.884, 0.854]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 13, "global_sentence_id": 457, "edu_l1_label": "IOS"}, {"txt": "·With ConceptVAE, synthetic data can be generated by modifying only textures and speckles while retaining anatomical structures.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17600000, "bbox": [[0.161, 0.861, 0.881, 0.869], [0.175, 0.874, 0.322, 0.881]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 14, "global_sentence_id": 458, "edu_l1_label": "IOS"}, {"txt": "This allows for the generation of novel samples that can serve as style augmentations without modifying the content, potentially enhancing the training performance of dense downstream models,such as those used for segmentation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, 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From the second column to the right,$\\beta$ values are 0 (unaltered reconstruction), 0.2, 0.4 and 0.6, respectively.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17800000, "bbox": [[0.115, 0.301, 0.885, 0.33]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 12, "global_sentence_id": 472, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.192, 0.351, 0.344, 0.446]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 13, "global_sentence_id": 473, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.351, 0.353, 0.502, 0.446]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 14, "global_sentence_id": 474, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.504, 0.352, 0.654, 0.446]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 15, "global_sentence_id": 475, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.654, 0.35, 0.808, 0.446]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 16, "global_sentence_id": 476, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.192, 0.451, 0.344, 0.545]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 17, "global_sentence_id": 477, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.351, 0.451, 0.502, 0.545]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 18, "global_sentence_id": 478, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.503, 0.451, 0.65, 0.545]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 19, "global_sentence_id": 479, "edu_l1_label": "EDU_O"}, {"txt": "figure", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 17900000, "bbox": [[0.655, 0.451, 0.808, 0.545]]}]}, "tags": ["figure"], "label": "figure", "web_segment_id": 20, "global_sentence_id": 480, "edu_l1_label": "EDU_O"}, {"txt": "Figure 8: Reconstructed images with unaltered$x_{\\text {style}}$(left) alongside three reconstructions with constant noise level $\\beta =0.3.$. Each noisy reconstruction uses different noise,$\\sim \\mathcal {N}(\\mathbf {0},I$,as described in Equation (7).", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18000000, "bbox": [[0.115, 0.554, 0.885, 0.582]]}]}, "tags": ["figure_caption"], "label": "figure_title", "web_segment_id": 21, "global_sentence_id": 481, "edu_l1_label": "EDU_O"}, {"txt": "The samples generated with ConceptVAE remain within the original data distribution, and thus can serve as a more calibrated augmentation method.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18100000, "bbox": [[0.117, 0.616, 0.881, 0.626], [0.117, 0.633, 0.335, 0.64]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 22, "global_sentence_id": 482, "edu_l1_label": "IOS"}, {"txt": "In contrast, classical transformations such as rotations and blurring may generate data points with appearances not observed in the initial distribution (e.g., unnatural rotations or texture changes).Ultrasound medical imaging inherently introduces noise in video acquisitions in the form of pixel speckles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18100000, "bbox": [[0.335, 0.633, 0.882, 0.639], [0.117, 0.646, 0.882, 0.653], [0.117, 0.658, 0.82, 0.667]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 22, "global_sentence_id": 483, "edu_l1_label": "IOS"}, {"txt": "Concept-VAE simulates the effect of different realizations of echocardiography-specific noise, producing images that reflect this variability.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18100000, "bbox": [[0.82, 0.658, 0.882, 0.664], [0.118, 0.672, 0.884, 0.686], [0.118, 0.687, 0.217, 0.694]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 22, "global_sentence_id": 484, "edu_l1_label": "IOS"}, {"txt": "Given the large variability between acquisitions and patients in ultrasound imaging [49], the proposed method can potentially improve the robustness of the models on downstream tasks.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18100000, "bbox": [[0.217, 0.687, 0.88, 0.694], [0.118, 0.701, 0.659, 0.708]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 22, "global_sentence_id": 485, "edu_l1_label": "IOS"}, {"txt": "6 Conclusions", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18200000, "bbox": [[0.117, 0.741, 0.248, 0.751]]}]}, "tags": ["title"], "label": "title1", "web_segment_id": 23, "global_sentence_id": 486, "edu_l1_label": "BOS"}, {"txt": "We present ConceptVAE, a novel SSL framework designed to learn disentangled representations of 2D cardiac ul-trasound images.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18300000, "bbox": [[0.117, 0.776, 0.882, 0.783], [0.118, 0.792, 0.231, 0.798]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 24, "global_sentence_id": 487, "edu_l1_label": "IOS"}, {"txt": "This method involves converting input embeddings into a set of discrete concepts and associated continuous styles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18300000, "bbox": [[0.231, 0.792, 0.881, 0.799], [0.117, 0.806, 0.234, 0.812]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 24, "global_sentence_id": 488, "edu_l1_label": "IOS"}, {"txt": "Through multiple qualitative and quantitative analyses, we demonstrate that ConceptVAE captures anatomical infor-mation within concepts vectors and local textures within the style vectors, thereby achieving disentanglement.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18400000, "bbox": [[0.117, 0.824, 0.882, 0.83], [0.117, 0.84, 0.853, 0.847]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 25, "global_sentence_id": 489, "edu_l1_label": "IOS"}, {"txt": "For example, by qualitatively analysing the concept maps, we observe the method is able to specialise certain concepts to independent anatomical structures such as blood pools or septum walls.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18400000, "bbox": [[0.853, 0.84, 0.88, 0.847], [0.117, 0.854, 0.881, 0.86], [0.118, 0.866, 0.584, 0.879]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 25, "global_sentence_id": 490, "edu_l1_label": "IOS"}, {"txt": "These properties prove beneficial for several downstream applications, including region-based instance retrieval, object detection, and synthetic data generation.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18500000, "bbox": [[0.117, 0.886, 0.882, 0.895], [0.117, 0.901, 0.381, 0.909]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 26, "global_sentence_id": 491, "edu_l1_label": "IOS"}, {"txt": "footer", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18600000, "bbox": [[0.492, 0.938, 0.509, 0.947]]}]}, "tags": ["footer"], "label": "O", "web_segment_id": 27, "global_sentence_id": 492, "edu_l1_label": "EDU_O"}, {"txt": "header", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18600000, "bbox": [[0.169, 0.045, 0.829, 0.058]]}]}, "tags": ["header"], "label": "O", "web_segment_id": 1, "global_sentence_id": 493, "edu_l1_label": "EDU_O"}, {"txt": "Specifically, we provide empirical evidence that ConceptVAE outperforms traditional SSL methods like Vicreg in region-based instance retrieval, OOD detection, semantic segmentation, and object detection.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18600000, "bbox": [[0.117, 0.094, 0.881, 0.104], [0.118, 0.111, 0.732, 0.117]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 494, "edu_l1_label": "IOS"}, {"txt": "Moreover, the method shows promising results in generating synthetic data samples that reflect the original data distribution and preserve anatomical concepts while varying styles.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18600000, "bbox": [[0.732, 0.111, 0.882, 0.117], [0.117, 0.124, 0.881, 0.131], [0.117, 0.138, 0.39, 0.144]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 2, "global_sentence_id": 495, "edu_l1_label": "IOS"}, {"txt": "For future work, we propose to apply the method to a broader range of medical image modalities.", "language": "english", 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"position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18700000, "bbox": [[0.419, 0.186, 0.881, 0.193], [0.117, 0.201, 0.881, 0.206], [0.118, 0.212, 0.189, 0.22]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 498, "edu_l1_label": "IOS"}, {"txt": "Furthermore, we plan to test and extend our method to 3D data, which is prevalent in medical imaging,but adds another level of complexity both for pre-training and for concept identification.", "language": "english", "position": {"pdf_position": [{"page_number": 0, "shape": [1650, 1275], "position_id": 18700000, "bbox": [[0.189, 0.212, 0.882, 0.222], [0.118, 0.225, 0.7, 0.234]]}]}, "tags": ["text"], "label": "content", "web_segment_id": 3, "global_sentence_id": 499, "edu_l1_label": "IOS"}, {"txt": "In-depth analyses of disen-tangled representations may also reveal other properties such as enhanced interpretability and explainability, opening promising avenues for future 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# CONCEPTVAE: SELF-SUPERVISED FINE-GRAINED CONCEPTDISENTANGLEMENT FROM 2D ECHOCARDIOGRAPHIES ## ABSTRACT ## 1 Introduction ## 2 Related Work ## 3 ConceptVAE ### 3.1 Model Architecture ### 3.2 Training Objectives ### 3.3 Pre-Training Data and Hyper-Parameters ## 4 Latent Space and Qualitative Analysis ## 5 Quantitative Model Analysis ### 5.1 Region-Based Instance Retrieval ### 5.2 Semantic Segmentation ### 5.3 Near-OOD Detection ### 5.4 Aortic Valve Detection ### 5.5 Style-Based Synthetic Data Generation ## 6 Conclusions
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# 广州年度吃喝指南,2025版。 ## 🍢10元级市井小吃 精细与朴实的地道之味 ### 01 各有功底的牛杂店,三家 @肥记牛杂、江南西牛杂、容意发牛杂店 ### 02 猪杂界的宝藏店 @猪肠仔风味店 ### 03 独沽一味的鲜鸡杂店 @鸡什猪红 ### 04 风格各异的肠粉店,三家 @华记石磨肠粉、六记肠粉、云桂面店 ### 04 老广依赖的汤汤水水,两家 @信行丰炖品皇、上膳汤水 ## 🍜碳水暴击 各种吃不厌的粉面 ### 01 标致地道的广府面,两家 @恩宁刘福记、虾籽记 ### 02 深受认可的一碗细粉 @一品为先食得好 ### 03 最炫技一份捞河粉 @文记河粉 ### 04 最足料纯正的濑粉 @合兴小食店 ## 再一波碳水 花小钱,吃点精细的饭 ### 01 好吃的煲仔饭,万里挑三 @两味煲仔饭、香港庙街煲仔饭、囍和煲仔饭 ### 02 独步全城的肥叉砵仔饭 @汶记美食店 ## 🥧各种咸甜糕点 丰富美味价廉 ### 01 不输餐厅的传统点心小店 @祥兴传统煎饺·砵仔芋头糕 ### 02 酥皮蛋挞的头部选手 @清心鸡蛋挞皇·酥皮蛋挞 ### 03 真⦁诚恳鸡蛋仔 @诚诚恳恳鸡蛋仔 ### 04 各有风格的钵仔糕,两家 @步步糕昇钵仔糕、歪歪钵仔糕 ### 05 几近式微的手工斋烧鹅 @菜根香嫡系斋卤味 ## 🐖几间烧味小店 必吃肉肉绝品 ### 01 城中斩料烧鹅首选 @永兴烧腊 ### 02 入味香滑的豉油鸡 @喜喜豉油鸡专门店 ### 03 手撕鸡的技术型选手 @胜记万利烧腊店 ### 04 打遍烧肉界无敌手 @森成美食店 ## 🍨沁人心脾糖水铺 传统新派俱备 ### 01 细节出挑的糖水铺,2家 @沙湾姜埋奶、张仨甜品 ### 02 百年历史的猪脚姜 @耕田公 ## 🥢各有所长的实力粤菜馆 丰俭由人 ### 01 细水长流的老广风味 尤以海鲜见开 @信记海鲜饭店 #### 信记的打开方式一:是以丰富做法见长的海鲜,烹调手法就有十多种可选。 #### 信记的打开方式二:一些熟客才知道的预订菜,都是功夫。 ### 02 讲究且深有功架 还能吃到一堆尖货 @佬佬餐厅 #### 初阶吃法:一些常见菜,吃这里的精细化表达。 #### 进阶吃法:各种咸淡水尖货与功夫菜,刷新食物见识。 ### 03 一煲老火汤独步全城 附带一堆隐藏菜单 @南围村大排档 ### 04 富豪饭堂的隐藏菜单 @雅苑餐厅 ### 05 几近式微的水乡菜 要趁早也要赶巧 @腰记饭店 ### 06 始终是冠绝全城的啫啫神店 @惠食佳 ### 07 几乎没有短版的精致粤菜馆 @广御轩 ### 08 粤西风味精致粤菜 @悦景轩 ## 🥧广式早茶点心 有大众,也有精致 ### 01 精致饮茶之选,两家 @利苑、花城苑 ### 02 系出同门的利苑平替 @悦满堂 ## 🌙名厨富豪都光顾的 宵夜好店 ### 01 新晋富豪饭堂 @同福·尚品轩 ### 02 潮汕宵夜精致好店 @头家夜粥 ### 03 独一家的清远食材大排档 @够姜大排档 ## 🐦单一品类小神店 值得专程一试 ### 01 鸽子吃法大包围 仅此一家 @富鸽天下 ### 02 广州人对火锅的审美 全浓缩在这两家店里 @ 顺德松记食店 @ 百家熟食店 ## 🧋也不能错过这些茶饮店 ### 01 全城最佳港式茶饮 @赏饮·WILL TEA ### 02 低调实力柠檬茶档 @孖烟通·茶档 ## 🥮一堆好吃传统糕饼 地道手信,送礼合意 ### 01 一口脆屑纷飞的蛋卷 @蛋卷王 ### 02 传统广式糕饼小点,6家 @纯心饼屋、国强饼店、明华饼店、萝卜糕、 珩记、连姐老广味