Pub Date : 2026-02-28Epub Date: 2026-01-12DOI: 10.1016/j.scib.2026.01.016
Tianzeng Chen , Jun Liu , Biwu Chu , Yanli Ge , Peng Zhang , Qingxin Ma , Hong He
Secondary organic aerosols (SOA), a major constituent of fine particulate matter (PM2.5), influence atmospheric chemistry, climate, and public health. However, their formation processes remain insufficiently represented in atmospheric models due to their complexity. Here, we investigate SOA formation from representative aromatic hydrocarbons (toluene, m-xylene, and 1,3,5-trimethylbenzene) under varying precursor concentrations using controlled smog chamber experiments. Leveraging high-resolution mass spectrometry and machine learning approaches, we demonstrate that oxidation capacity (characterized by the cumulative OH exposure), modulated by precursor concentration, is the primary driver of SOA yield. A key and novel finding is that at lower precursor concentrations (∼10 ppb), which are more representative of real atmospheric conditions, the enhanced OH exposure per molecule promotes more efficient multigenerational oxidation. This process favors the production of low-volatility organic compounds, thereby substantially increasing SOA formation compared to that at higher precursor concentrations. These findings, validated by the machine learning analysis, provide mechanistic insights into SOA evolution and underscore the need for improved representation of multigenerational oxidation in atmospheric models to enhance air quality and climate predictions.
{"title":"Insufficient oxidation capacity in the photooxidation of aromatic VOCs results in underestimation of SOA yield","authors":"Tianzeng Chen , Jun Liu , Biwu Chu , Yanli Ge , Peng Zhang , Qingxin Ma , Hong He","doi":"10.1016/j.scib.2026.01.016","DOIUrl":"10.1016/j.scib.2026.01.016","url":null,"abstract":"<div><div>Secondary organic aerosols (SOA), a major constituent of fine particulate matter (PM<sub>2.5</sub>), influence atmospheric chemistry, climate, and public health. However, their formation processes remain insufficiently represented in atmospheric models due to their complexity. Here, we investigate SOA formation from representative aromatic hydrocarbons (toluene, m-xylene, and 1,3,5-trimethylbenzene) under varying precursor concentrations using controlled smog chamber experiments. Leveraging high-resolution mass spectrometry and machine learning approaches, we demonstrate that oxidation capacity (characterized by the cumulative OH exposure), modulated by precursor concentration, is the primary driver of SOA yield. A key and novel finding is that at lower precursor concentrations (∼10 ppb), which are more representative of real atmospheric conditions, the enhanced OH exposure per molecule promotes more efficient multigenerational oxidation. This process favors the production of low-volatility organic compounds, thereby substantially increasing SOA formation compared to that at higher precursor concentrations. These findings, validated by the machine learning analysis, provide mechanistic insights into SOA evolution and underscore the need for improved representation of multigenerational oxidation in atmospheric models to enhance air quality and climate predictions.</div></div>","PeriodicalId":421,"journal":{"name":"Science Bulletin","volume":"71 4","pages":"Pages 850-856"},"PeriodicalIF":21.1,"publicationDate":"2026-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146008322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-28Epub Date: 2025-12-18DOI: 10.1016/j.scib.2025.12.022
Ping Li , Zhan Ding , Yuqi Feng , Xiangyu Ren , Yongyue Wei , Changfa Xia , Yitao Yang , Quanbo Yang , Zhe Wang , Xuehong Zhang , L.G. van der Geest , Herbert Yu , Edward Giovannucci , David P. Smith , Michael David , Ahmedin Jemal , Xue Qin Yu , Hongmei Zeng , Guangwen Cao
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer. However, no previous studies systematically provided global HCC burden and population attributable fractions (PAFs) of major risk factors for HCC at the global, regional, subregional, and national levels. We conducted a population-based study to assess the global burden of HCC and the contribution of nine modifiable risk factors. We used data from GLOBOCAN 2022, CI5, GBD 2021, and other large-scale data sources. We categorized nine major modifiable risk factors as infections (hepatitis B or C virus [HBV, HCV], or C. sinensis), metabolic factors (obesity, type 2 diabetes mellitus, and metabolic dysfunction-associated steatotic liver disease [MASLD]), and behavioral/toxic factors (high alcohol use, smoking, and aflatoxin B1). In 2022, globally, there were 684,659 new HCC cases and 597,434 deaths, with the highest age-standardized rates observed in Eastern Asia and Northern Africa. An estimated 78.4% (536,571/684,659) of global HCC cases were attributable to the evaluated risk factors, with 82.5% in Asia and 60.4% in America. Infections contributed most worldwide (65.9%), followed by behavioral/toxic risk factors (22.4%) and metabolic factors (19.7%). Region-specific predominant risk factors included HBV in Eastern Asia (72.5%), HCV in Northern Africa (43.9%), smoking in Northern America (24.5%), and high alcohol use in Western Europe (24.9%). Between 1990 and 2022, infection and behavioral/toxic factors declined globally, whereas metabolic factors steadily increased. The substantial variations in HCC burden and PAF across regions highlight the importance of tailored, region-specific preventive interventions to address the varying modifiable risk factors.
{"title":"Global, regional, and national burden of hepatocellular carcinoma and contribution of nine modifiable risk factors across 185 countries/territories in 2022","authors":"Ping Li , Zhan Ding , Yuqi Feng , Xiangyu Ren , Yongyue Wei , Changfa Xia , Yitao Yang , Quanbo Yang , Zhe Wang , Xuehong Zhang , L.G. van der Geest , Herbert Yu , Edward Giovannucci , David P. Smith , Michael David , Ahmedin Jemal , Xue Qin Yu , Hongmei Zeng , Guangwen Cao","doi":"10.1016/j.scib.2025.12.022","DOIUrl":"10.1016/j.scib.2025.12.022","url":null,"abstract":"<div><div>Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer. However, no previous studies systematically provided global HCC burden and population attributable fractions (PAFs) of major risk factors for HCC at the global, regional, subregional, and national levels. We conducted a population-based study to assess the global burden of HCC and the contribution of nine modifiable risk factors. We used data from GLOBOCAN 2022, CI5, GBD 2021, and other large-scale data sources. We categorized nine major modifiable risk factors as infections (hepatitis B or C virus [HBV, HCV], or <em>C. sinensis</em>), metabolic factors (obesity, type 2 diabetes mellitus, and metabolic dysfunction-associated steatotic liver disease [MASLD]), and behavioral/toxic factors (high alcohol use, smoking, and aflatoxin B1). In 2022, globally, there were 684,659 new HCC cases and 597,434 deaths, with the highest age-standardized rates observed in Eastern Asia and Northern Africa. An estimated 78.4% (536,571/684,659) of global HCC cases were attributable to the evaluated risk factors, with 82.5% in Asia and 60.4% in America. Infections contributed most worldwide (65.9%), followed by behavioral/toxic risk factors (22.4%) and metabolic factors (19.7%). Region-specific predominant risk factors included HBV in Eastern Asia (72.5%), HCV in Northern Africa (43.9%), smoking in Northern America (24.5%), and high alcohol use in Western Europe (24.9%). Between 1990 and 2022, infection and behavioral/toxic factors declined globally, whereas metabolic factors steadily increased. The substantial variations in HCC burden and PAF across regions highlight the importance of tailored, region-specific preventive interventions to address the varying modifiable risk factors.</div></div>","PeriodicalId":421,"journal":{"name":"Science Bulletin","volume":"71 4","pages":"Pages 838-849"},"PeriodicalIF":21.1,"publicationDate":"2026-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146017058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-28Epub Date: 2025-12-30DOI: 10.1016/j.scib.2025.12.047
Na Wang , Meihong Wang , Chun Ma , Xuefan Xing , Dongmei Han , Xiaolong Su
As an important quantum communication protocol, quantum teleportation has broad applications in quantum information science and technology. For the application, it is essential to enhance the ability of quantum teleportation by teleporting multiple quantum states simultaneously. Here, we experimentally demonstrate deterministic quantum teleportation of multiple sideband qumodes of coherent states, which corresponds to teleporting multiple quantum states simultaneously, with the assistance of continuous-variable (CV) quantum entanglement. By fine-tuning the phases of two classical channels according to different adjustable frequencies, we successfully realize deterministic CV quantum teleportation with up to 5 sideband qumodes simultaneously within the frequency bandwidth of 24 MHz. We show that the number of teleported multiple qumodes is controllable by changing the phases of two classical channels. The obtained fidelities of output multiple qumodes are around 70%, which are all beyond the non-cloning limit. The results present a novel method for quantum teleportation of multiple quantum states simultaneously and take a crucial step in enhancing the teleporting ability of quantum teleportation.
{"title":"Controllable deterministic quantum teleportation of multiple sideband qumodes","authors":"Na Wang , Meihong Wang , Chun Ma , Xuefan Xing , Dongmei Han , Xiaolong Su","doi":"10.1016/j.scib.2025.12.047","DOIUrl":"10.1016/j.scib.2025.12.047","url":null,"abstract":"<div><div>As an important quantum communication protocol, quantum teleportation has broad applications in quantum information science and technology. For the application, it is essential to enhance the ability of quantum teleportation by teleporting multiple quantum states simultaneously. Here, we experimentally demonstrate deterministic quantum teleportation of multiple sideband qumodes of coherent states, which corresponds to teleporting multiple quantum states simultaneously, with the assistance of continuous-variable (CV) quantum entanglement. By fine-tuning the phases of two classical channels according to different adjustable frequencies, we successfully realize deterministic CV quantum teleportation with up to 5 sideband qumodes simultaneously within the frequency bandwidth of 24 MHz. We show that the number of teleported multiple qumodes is controllable by changing the phases of two classical channels. The obtained fidelities of output multiple qumodes are around 70%, which are all beyond the non-cloning limit. The results present a novel method for quantum teleportation of multiple quantum states simultaneously and take a crucial step in enhancing the teleporting ability of quantum teleportation.</div></div>","PeriodicalId":421,"journal":{"name":"Science Bulletin","volume":"71 4","pages":"Pages 745-751"},"PeriodicalIF":21.1,"publicationDate":"2026-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146043722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-28Epub Date: 2025-09-10DOI: 10.1016/j.scib.2025.09.013
Bingbing Ma , Xiaoyue Hu , Chenfan Sun , Jijin Xie , Yangyang Luo , Beibei Wang , Youjun Feng , Hangjin Jiang , Qingwei Zhao , Xuming Mao
{"title":"A pleiotropic regulator AtrA undergoes liquid-liquid phase separation in regulating quorum sensing","authors":"Bingbing Ma , Xiaoyue Hu , Chenfan Sun , Jijin Xie , Yangyang Luo , Beibei Wang , Youjun Feng , Hangjin Jiang , Qingwei Zhao , Xuming Mao","doi":"10.1016/j.scib.2025.09.013","DOIUrl":"10.1016/j.scib.2025.09.013","url":null,"abstract":"","PeriodicalId":421,"journal":{"name":"Science Bulletin","volume":"71 4","pages":"Pages 712-716"},"PeriodicalIF":21.1,"publicationDate":"2026-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145249131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-28Epub Date: 2025-09-10DOI: 10.1016/j.scib.2025.09.014
Gang Xu , Jiyu Guo , Shengjin Fan , Si Li , Ting Qiu , Zefeng Chen , Yanan Liu , Luan Wen , Chongwen Lv , Yanan Jiang , Huitao Fan , Juan Xu , Wei Wang , Yongsheng Li
{"title":"Single-cell omics analysis reveals tumor microenvironment rewiring after arsenic trioxide therapy in acute promyelocytic leukemia","authors":"Gang Xu , Jiyu Guo , Shengjin Fan , Si Li , Ting Qiu , Zefeng Chen , Yanan Liu , Luan Wen , Chongwen Lv , Yanan Jiang , Huitao Fan , Juan Xu , Wei Wang , Yongsheng Li","doi":"10.1016/j.scib.2025.09.014","DOIUrl":"10.1016/j.scib.2025.09.014","url":null,"abstract":"","PeriodicalId":421,"journal":{"name":"Science Bulletin","volume":"71 4","pages":"Pages 722-726"},"PeriodicalIF":21.1,"publicationDate":"2026-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-28Epub Date: 2025-12-31DOI: 10.1016/j.scib.2025.12.054
Xi-Ze Min , Xianming Zhang , Zhi-Yong Xie , Anatoly Nikolaev , Katrin Vorkamp , Jian-Min Ma , Lars-Otto Reiersen , Li Li , Ming-Hong Cai , Nan-Qi Ren , Yi-Fan Li , Zi-Feng Zhang , Roland Kallenborn , Derek Muir
Arctic ecosystems face significant threats from chemicals of global concern. Persistent organic pollutants (POPs) and polycyclic aromatic hydrocarbons (PAHs) have been consistently detected in the Arctic through decades of monitoring. POPs are known to bioaccumulate in food webs, and both POPs and PAHs are toxic posing risks to wildlife and human health. While regular monitoring activities have been implemented in most Arctic countries, information from the Russian Arctic is still limited. This review synthesizes the existing knowledge on environmental fate and distribution pathways of POPs, PAHs, and Chemicals Of Emerging Arctic Concern (CEACs) in the Russian Arctic. Except for recent studies on microplastics, data on CEACs remain very limited. Considering mass exchange processes between environmental compartments, including the cryosphere, this review focuses on the Russian Arctic coastal seas, where riverine transport and atmospheric deposition are the main sources of legacy POPs and PAHs. Northward-draining Russian Arctic rivers have been loading legacy POPs from historical sources to coastal seawater. Ongoing volatilization of low-molecular-weight PAHs from both sediments and seawater in the Russian Arctic coastal seas is likely to be accelerated with the ongoing warming climate. PAH and POPs stored in the cryosphere of the Russian Arctic are expected to be released with the ice/snow melting and permafrost thaws. However, more up-to-date information on these chemicals is needed to evaluate these processes and their significance for Arctic pollution.
{"title":"Organic chemicals of Arctic concern in Russian coastal seas","authors":"Xi-Ze Min , Xianming Zhang , Zhi-Yong Xie , Anatoly Nikolaev , Katrin Vorkamp , Jian-Min Ma , Lars-Otto Reiersen , Li Li , Ming-Hong Cai , Nan-Qi Ren , Yi-Fan Li , Zi-Feng Zhang , Roland Kallenborn , Derek Muir","doi":"10.1016/j.scib.2025.12.054","DOIUrl":"10.1016/j.scib.2025.12.054","url":null,"abstract":"<div><div>Arctic ecosystems face significant threats from chemicals of global concern. Persistent organic pollutants (POPs) and polycyclic aromatic hydrocarbons (PAHs) have been consistently detected in the Arctic through decades of monitoring. POPs are known to bioaccumulate in food webs, and both POPs and PAHs are toxic posing risks to wildlife and human health. While regular monitoring activities have been implemented in most Arctic countries, information from the Russian Arctic is still limited. This review synthesizes the existing knowledge on environmental fate and distribution pathways of POPs, PAHs, and Chemicals Of Emerging Arctic Concern (CEACs) in the Russian Arctic. Except for recent studies on microplastics, data on CEACs remain very limited. Considering mass exchange processes between environmental compartments, including the cryosphere, this review focuses on the Russian Arctic coastal seas, where riverine transport and atmospheric deposition are the main sources of legacy POPs and PAHs. Northward-draining Russian Arctic rivers have been loading legacy POPs from historical sources to coastal seawater. Ongoing volatilization of low-molecular-weight PAHs from both sediments and seawater in the Russian Arctic coastal seas is likely to be accelerated with the ongoing warming climate. PAH and POPs stored in the cryosphere of the Russian Arctic are expected to be released with the ice/snow melting and permafrost thaws. However, more up-to-date information on these chemicals is needed to evaluate these processes and their significance for Arctic pollution.</div></div>","PeriodicalId":421,"journal":{"name":"Science Bulletin","volume":"71 4","pages":"Pages 946-959"},"PeriodicalIF":21.1,"publicationDate":"2026-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146027811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-28Epub Date: 2026-01-20DOI: 10.1016/j.scib.2026.01.034
Zi-Zhen Guo , Renyan Wu , Weixiang Li , Keyu Yang , Xuexiang Ying , Hamid Alinejad-Rokny , Youqiong Ye
Spatial transcriptomics (ST) has become a key technology for interrogating gene expression within spatial context, providing spatially resolved insights into tissue architecture and microenvironmental organization. Rapid advances in experimental platforms and analytical methods, however, have resulted in challenges for technology selection, methodological comparison, and data interpretation. In this review, we present a systematic summary of 594 ST analysis tools spanning 77 ST technologies (as of September 2025). We outline the complete analytical workflow and discuss major analytical tasks, including data preprocessing, denoising and imputation, spatial pattern and domain identification, cellular composition, trajectory analysis, cell-cell communication, and spatial multi-omics integration. For each task, we summarize representative methodological principles and emphasize platform-dependent considerations arising from differences in spatial resolution and detection efficiency. We further highlight how analytical applications of ST data have enabled biomedical discoveries by revealing spatial heterogeneity, tissue organization, and context-dependent cellular interactions. Furthermore, we develop SpatialToolDB (https://www.spatialtooldb.yelab.site/), a systematically curated, categorized, and continuously updated platform that integrates the ST technologies, analytical methods, and related databases covered in this review, facilitating informed tool selection and method comparison. We also discuss development trends and future directions of spatial-omics technologies and analytical tools, including advances in spatial technologies, AI-driven computation, benchmarking and standardization, and improved experimental validation for mechanistic and predictive spatial biology. Together, this review and SpatialToolDB provide a data-driven foundation for selecting ST platforms and analytical strategies tailored to diverse biological and translational research applications.
{"title":"Mapping biology in space: from spatial transcriptomics platforms to analytical tools and databases","authors":"Zi-Zhen Guo , Renyan Wu , Weixiang Li , Keyu Yang , Xuexiang Ying , Hamid Alinejad-Rokny , Youqiong Ye","doi":"10.1016/j.scib.2026.01.034","DOIUrl":"10.1016/j.scib.2026.01.034","url":null,"abstract":"<div><div>Spatial transcriptomics (ST) has become a key technology for interrogating gene expression within spatial context, providing spatially resolved insights into tissue architecture and microenvironmental organization. Rapid advances in experimental platforms and analytical methods, however, have resulted in challenges for technology selection, methodological comparison, and data interpretation. In this review, we present a systematic summary of 594 ST analysis tools spanning 77 ST technologies (as of September 2025). We outline the complete analytical workflow and discuss major analytical tasks, including data preprocessing, denoising and imputation, spatial pattern and domain identification, cellular composition, trajectory analysis, cell-cell communication, and spatial multi-omics integration. For each task, we summarize representative methodological principles and emphasize platform-dependent considerations arising from differences in spatial resolution and detection efficiency. We further highlight how analytical applications of ST data have enabled biomedical discoveries by revealing spatial heterogeneity, tissue organization, and context-dependent cellular interactions. Furthermore, we develop SpatialToolDB (<span><span>https://www.spatialtooldb.yelab.site/</span><svg><path></path></svg></span>), a systematically curated, categorized, and continuously updated platform that integrates the ST technologies, analytical methods, and related databases covered in this review, facilitating informed tool selection and method comparison. We also discuss development trends and future directions of spatial-omics technologies and analytical tools, including advances in spatial technologies, AI-driven computation, benchmarking and standardization, and improved experimental validation for mechanistic and predictive spatial biology. Together, this review and SpatialToolDB provide a data-driven foundation for selecting ST platforms and analytical strategies tailored to diverse biological and translational research applications.</div></div>","PeriodicalId":421,"journal":{"name":"Science Bulletin","volume":"71 4","pages":"Pages 921-945"},"PeriodicalIF":21.1,"publicationDate":"2026-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146083856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-28Epub Date: 2025-08-23DOI: 10.1016/j.scib.2025.08.039
Yuxing Huang , Xiaojie Yan , Xing Liu , Congcong Ji , Wenmin Tian , Haohao Tang , Yong Li , Yiling Wen , Peiyao Fan , Hongli Wang , Cankun Xi , Zhongtian Li , Tian Lu , Fuping You , Xin Yin , Yang Chen
{"title":"Migrion: a Migrasome-mediated unit for intercellular viral transmission","authors":"Yuxing Huang , Xiaojie Yan , Xing Liu , Congcong Ji , Wenmin Tian , Haohao Tang , Yong Li , Yiling Wen , Peiyao Fan , Hongli Wang , Cankun Xi , Zhongtian Li , Tian Lu , Fuping You , Xin Yin , Yang Chen","doi":"10.1016/j.scib.2025.08.039","DOIUrl":"10.1016/j.scib.2025.08.039","url":null,"abstract":"","PeriodicalId":421,"journal":{"name":"Science Bulletin","volume":"71 4","pages":"Pages 717-721"},"PeriodicalIF":21.1,"publicationDate":"2026-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145008073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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