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High-Conductivity, Self-Healing, and Adhesive Ionic Hydrogels for Health Monitoring and Human-Machine Interactions Under Extreme Cold Conditions (Adv. Sci. 16/2025) 高导电性、自愈性和粘性离子水凝胶在极端低温条件下的健康监测和人机交互（Adv. Sci. 16/2025）
IF 14.3 1区 材料科学
Advanced Science Pub Date : 2025-04-24 DOI: 10.1002/advs.202570116
Fei Han, Shumeng Chen, Fei Wang, Mei Liu, Jiahui Li, Hao Liu, Yanshen Yang, Haoqing Zhang, Dong Liu, Rongyan He, Wentao Cao, Xiaochuan Qin, Feng Xu
{"title":"High-Conductivity, Self-Healing, and Adhesive Ionic Hydrogels for Health Monitoring and Human-Machine Interactions Under Extreme Cold Conditions (Adv. Sci. 16/2025)","authors":"Fei Han,&nbsp;Shumeng Chen,&nbsp;Fei Wang,&nbsp;Mei Liu,&nbsp;Jiahui Li,&nbsp;Hao Liu,&nbsp;Yanshen Yang,&nbsp;Haoqing Zhang,&nbsp;Dong Liu,&nbsp;Rongyan He,&nbsp;Wentao Cao,&nbsp;Xiaochuan Qin,&nbsp;Feng Xu","doi":"10.1002/advs.202570116","DOIUrl":"https://doi.org/10.1002/advs.202570116","url":null,"abstract":"<p><b>Ionic Conductive Hydrogels</b></p><p>In article number 2412726, Feng Xu and co-workers present an ionic conductive hydrogel with excellent conductivity, self-healing, self-adhesion, and long-term stability under extreme cold conditions. It shows significant potential for non-invasive, continuous health monitoring without signal crosstalk, and enabling real-time, high-fidelity signal transmission in humanmachine interactions.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":"12 16","pages":""},"PeriodicalIF":14.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/advs.202570116","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Programmed Fabrication of Vesicle-Based Prototissue Fibers with Modular Functionalities (Adv. Sci. 16/2025) 具有模块化功能的囊泡基原组织纤维的程序化制备（Sci. 16/2025）
IF 14.3 1区 材料科学
Advanced Science Pub Date : 2025-04-24 DOI: 10.1002/advs.202570113
Tomoya Kojima, Kouichi Asakura, Pierangelo Gobbo, Taisuke Banno
{"title":"Programmed Fabrication of Vesicle-Based Prototissue Fibers with Modular Functionalities (Adv. Sci. 16/2025)","authors":"Tomoya Kojima,&nbsp;Kouichi Asakura,&nbsp;Pierangelo Gobbo,&nbsp;Taisuke Banno","doi":"10.1002/advs.202570113","DOIUrl":"https://doi.org/10.1002/advs.202570113","url":null,"abstract":"<p><b>Vesicle-Based Prototissue Fibers</b></p><p>The cover image features the fabrication of free-standing vesicle-based prototissue fibers as if we were writing with a pen. In article number 2409066 by Tomoya Kojima, Kouichi Asakura, Pierangelo Gobbo, and Taisuke Banno, the fibers with well-controlled lengths and diameters are developed, showing modular functionalities such as magnetic manipulation and spatiotemporal directional signal transduction under connection with different fiber modules.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":"12 16","pages":""},"PeriodicalIF":14.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/advs.202570113","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ROS-Responsive Microneedle Patches Enable Peri-Lacrimal Gland Therapeutic Administration for Long-Acting Therapy of Sjögren's Syndrome-Related Dry Eye (Adv. Sci. 16/2025) ros反应微针贴片使泪腺周围治疗给药长期治疗Sjögren综合征相关性干眼症（Adv. Sci. 16/2025）
IF 14.3 1区 材料科学
Advanced Science Pub Date : 2025-04-24 DOI: 10.1002/advs.202570111
Jingqing Mu, Xiangyu Ding, Yapeng Song, Baoyue Mi, Xiaolong Fang, Baihua Chen, Bin Yao, Xuguang Sun, Xiaoyong Yuan, Shutao Guo, Xia Hua
{"title":"ROS-Responsive Microneedle Patches Enable Peri-Lacrimal Gland Therapeutic Administration for Long-Acting Therapy of Sjögren's Syndrome-Related Dry Eye (Adv. Sci. 16/2025)","authors":"Jingqing Mu,&nbsp;Xiangyu Ding,&nbsp;Yapeng Song,&nbsp;Baoyue Mi,&nbsp;Xiaolong Fang,&nbsp;Baihua Chen,&nbsp;Bin Yao,&nbsp;Xuguang Sun,&nbsp;Xiaoyong Yuan,&nbsp;Shutao Guo,&nbsp;Xia Hua","doi":"10.1002/advs.202570111","DOIUrl":"https://doi.org/10.1002/advs.202570111","url":null,"abstract":"<p><b>Microneedle Patches for Dry Eye Treatment</b></p><p>The cover illustrates an intelligent gel-based microneedle (MN) patch designed for targeted drug delivery to the lacrimal gland. This innovative patch facilitates sustained drug release in a reactive oxygen species (ROS)-responsive manner, ensuring precise therapeutic action. Additionally, the patch features a separable base that operates in a temperature-responsive fashion, enhancing user comfort and ease of application. More details can be found in article number 2409562 by Xiaoyong Yuan, Shutao Guo, Xia Hua, and co-workers.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":"12 16","pages":""},"PeriodicalIF":14.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/advs.202570111","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MaTableGPT: GPT-Based Table Data Extractor from Materials Science Literature (Adv. Sci. 16/2025) MaTableGPT：基于gpt的材料科学文献表数据提取器（add . Sci. 16/2025）
IF 14.3 1区 材料科学
Advanced Science Pub Date : 2025-04-24 DOI: 10.1002/advs.202570114
Gyeong Hoon Yi, Jiwoo Choi, Hyeongyun Song, Olivia Miano, Jaewoong Choi, Kihoon Bang, Byungju Lee, Seok Su Sohn, David Buttler, Anna Hiszpanski, Sang Soo Han, Donghun Kim
{"title":"MaTableGPT: GPT-Based Table Data Extractor from Materials Science Literature (Adv. Sci. 16/2025)","authors":"Gyeong Hoon Yi,&nbsp;Jiwoo Choi,&nbsp;Hyeongyun Song,&nbsp;Olivia Miano,&nbsp;Jaewoong Choi,&nbsp;Kihoon Bang,&nbsp;Byungju Lee,&nbsp;Seok Su Sohn,&nbsp;David Buttler,&nbsp;Anna Hiszpanski,&nbsp;Sang Soo Han,&nbsp;Donghun Kim","doi":"10.1002/advs.202570114","DOIUrl":"https://doi.org/10.1002/advs.202570114","url":null,"abstract":"<p><b>GPT-Based Table Data Extractor</b></p><p>MaTableGPT is a GPT-based table data extractor for materials science literature, addressing previous limitations in handling diverse formats of reported tables. It achieves both high extraction accuracy (up to 96.8%) and low GPT usage cost (less than 6 US dollars) for the entire extraction processes over 10,000 articles. Finally, applied to literature of water-splitting catalysis, MaTableGPT enables large-scale data extraction and insightful statistical analyses. More details can be found in article number 2408221 by Anna Hiszpanski, Sang Soo Han, Donghun Kim, and co-workers.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":"12 16","pages":""},"PeriodicalIF":14.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/advs.202570114","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Roles of Kdm6a and Kdm6b in Regulation of Mammalian Neural Regeneration (Adv. Sci. 16/2025) Kdm6a和Kdm6b在哺乳动物神经再生调控中的作用（Sci. 16/2025）
IF 14.3 1区 材料科学
Advanced Science Pub Date : 2025-04-24 DOI: 10.1002/advs.202570118
Shu-Guang Yang, Chang-Ping Li, Xue-Wei Wang, Tao Huang, Cheng Qian, Qiao Li, Ling-Rui Zhao, Si-Yu Zhou, Chen-Yun Ding, Rui Nie,  Saijilafu, Yu-Cai Hong, Chang-Mei Liu, Feng-Quan Zhou
{"title":"Roles of Kdm6a and Kdm6b in Regulation of Mammalian Neural Regeneration (Adv. Sci. 16/2025)","authors":"Shu-Guang Yang,&nbsp;Chang-Ping Li,&nbsp;Xue-Wei Wang,&nbsp;Tao Huang,&nbsp;Cheng Qian,&nbsp;Qiao Li,&nbsp;Ling-Rui Zhao,&nbsp;Si-Yu Zhou,&nbsp;Chen-Yun Ding,&nbsp;Rui Nie,&nbsp; Saijilafu,&nbsp;Yu-Cai Hong,&nbsp;Chang-Mei Liu,&nbsp;Feng-Quan Zhou","doi":"10.1002/advs.202570118","DOIUrl":"https://doi.org/10.1002/advs.202570118","url":null,"abstract":"<p><b>Mammalian Neural Regeneration</b></p><p>Glaucoma primarily results from damage to the optic nerves. Shu-Guang Yang, Chang-Ping Li, and co-workers have made a groundbreaking discovery: deleting the histone demethylase Kdm6a in neurons increases histone methylation levels. This change alters the chromosome structure, making it more densely packed and effectively silencing the expression of regeneration suppressor genes. This study described in article number 2405537 identifies a promising new target for treating glaucoma and other retinal injuries.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":"12 16","pages":""},"PeriodicalIF":14.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/advs.202570118","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Subsurface Oxygen Vacancy Mediated Surface Reconstruction and Depolarization of Ferroelectric BaTiO3 (001) Surface (Adv. Sci. 16/2025) 亚表面氧空位介导的铁电BaTiO3（001）表面重构及去极化（ei）
IF 14.3 1区 材料科学
Advanced Science Pub Date : 2025-04-24 DOI: 10.1002/advs.202570117
Jeehun Jeong, Jaejin Hwang, Yaolong Xing, Zhipeng Wang, Jaekwang Lee, Sang Ho Oh
{"title":"Subsurface Oxygen Vacancy Mediated Surface Reconstruction and Depolarization of Ferroelectric BaTiO3 (001) Surface (Adv. Sci. 16/2025)","authors":"Jeehun Jeong,&nbsp;Jaejin Hwang,&nbsp;Yaolong Xing,&nbsp;Zhipeng Wang,&nbsp;Jaekwang Lee,&nbsp;Sang Ho Oh","doi":"10.1002/advs.202570117","DOIUrl":"https://doi.org/10.1002/advs.202570117","url":null,"abstract":"<p><b>Surface Reconstructions</b></p><p>In situ atomic-scale electron microscopy reveals that planar accumulation of oxygen vacancies in the subsurface TiO<sub>2</sub> layer of vacuum-annealed ferroelectric BaTiO<sub>3</sub> (001) surface mitigates the depolarization field by facilitating cooperative rumpling of surface and subsurface layers in a tail-to-tail dipole configuration. More details can be found in article number 2412781 by Jeehun Jeong, Jaejin Hwang, and co-workers.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":"12 16","pages":""},"PeriodicalIF":14.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/advs.202570117","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Issue Information: (Adv. Sci. 16/2025) 发布信息：（科学通报16/2025）
IF 14.3 1区 材料科学
Advanced Science Pub Date : 2025-04-24 DOI: 10.1002/advs.202570115
{"title":"Issue Information: (Adv. Sci. 16/2025)","authors":"","doi":"10.1002/advs.202570115","DOIUrl":"https://doi.org/10.1002/advs.202570115","url":null,"abstract":"","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":"12 16","pages":""},"PeriodicalIF":14.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/advs.202570115","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tumor Microenvironment On-A-Chip and Single-Cell Analysis Reveal Synergistic Stromal–Immune Crosstalk on Breast Cancer Progression (Adv. Sci. 16/2025) 肿瘤微环境芯片和单细胞分析揭示基质-免疫串扰在乳腺癌进展中的协同作用（Sci. 16/2025）
IF 14.3 1区 材料科学
Advanced Science Pub Date : 2025-04-24 DOI: 10.1002/advs.202570119
Kalpana Ravi, Yining Zhang, Lydia Sakala, Twinkle Jina Minette Manoharan, Barbara Pockaj, Joshua LaBaer, Jin G. Park, Mehdi Nikkhah
{"title":"Tumor Microenvironment On-A-Chip and Single-Cell Analysis Reveal Synergistic Stromal–Immune Crosstalk on Breast Cancer Progression (Adv. Sci. 16/2025)","authors":"Kalpana Ravi,&nbsp;Yining Zhang,&nbsp;Lydia Sakala,&nbsp;Twinkle Jina Minette Manoharan,&nbsp;Barbara Pockaj,&nbsp;Joshua LaBaer,&nbsp;Jin G. Park,&nbsp;Mehdi Nikkhah","doi":"10.1002/advs.202570119","DOIUrl":"https://doi.org/10.1002/advs.202570119","url":null,"abstract":"<p><b>Tumor on-a-Chip</b></p><p>This image depicts a cutting-edge 3D tumor-on-a-chip model that recapitulates the breast tumor microenvironment, highlighting interactions between stromal, immune, and metastatic triplenegative breast cancer cells. By mimicking tumor-stroma-immune crosstalk, this model reveals cancer cell metabolic reprogramming through bioinformatic analysis. This innovative platform advances the understanding of tumor biology, providing insights into cellular adaptations and potential therapeutic targets. More details can be found in article number 2413457 by Mehdi Nikkhah, and co-workers. Create with BioRender.com.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":"12 16","pages":""},"PeriodicalIF":14.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/advs.202570119","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine Learning-Enabled Drug-Induced Toxicity Prediction (Adv. Sci. 16/2025) 基于机器学习的药物毒性预测（科学进展16/2025）
IF 14.3 1区 材料科学
Advanced Science Pub Date : 2025-04-24 DOI: 10.1002/advs.202570112
Changsen Bai, Lianlian Wu, Ruijiang Li, Yang Cao, Song He, Xiaochen Bo
{"title":"Machine Learning-Enabled Drug-Induced Toxicity Prediction (Adv. Sci. 16/2025)","authors":"Changsen Bai,&nbsp;Lianlian Wu,&nbsp;Ruijiang Li,&nbsp;Yang Cao,&nbsp;Song He,&nbsp;Xiaochen Bo","doi":"10.1002/advs.202570112","DOIUrl":"https://doi.org/10.1002/advs.202570112","url":null,"abstract":"<p><b>Machine Learning</b></p><p>In article number 2413405, Yang Cao, Song He, Xiaochen Bo, and co-workers present the transformative role of artificial intelligence (AI) in drug toxicity prediction. AI models leverage the structural and multiomics features of drugs to predict toxicity while enhancing interpretability, bridging the gap between predictive accuracy and mechanistic understanding. It highlights AI's potential to revolutionize toxicological research and drug development, offering new avenues for safer, more effective therapies.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":"12 16","pages":""},"PeriodicalIF":14.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/advs.202570112","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Self-Adaptive Quantum Kernel Principal Component Analysis for Compact Readout of Chemiresistive Sensor Arrays (Adv. Sci. 15/2025) 自适应量子核主成分分析在化学电阻传感器阵列中的应用（ei）
IF 14.3 1区 材料科学
Advanced Science Pub Date : 2025-04-17 DOI: 10.1002/advs.202570102
Zeheng Wang, Timothy van der Laan, Muhammad Usman
{"title":"Self-Adaptive Quantum Kernel Principal Component Analysis for Compact Readout of Chemiresistive Sensor Arrays (Adv. Sci. 15/2025)","authors":"Zeheng Wang,&nbsp;Timothy van der Laan,&nbsp;Muhammad Usman","doi":"10.1002/advs.202570102","DOIUrl":"https://doi.org/10.1002/advs.202570102","url":null,"abstract":"<p><b>Quantum Machine Learning</b></p><p>In article number 2411573, Zeheng Wang, Timothy van der Laan, and Muhammad Usman introduce a quantum algorithm-driven framework to compress chemiresistive sensor data. By employing a self-adaptive quantum kernel (SAQK), classical data are mapped into a quantum state space, where quantum principal component analysis (qPCA) is used to achieve significant dimensionality reduction. This innovative method not only minimizes information loss but also improves the subsequent AI-driven readout accuracy. The work highlights the synergy of quantum algorithms and AI, paving the way for efficient IoT data handling on noisy intermediate-scale quantum (NISQ) devices.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":"12 15","pages":""},"PeriodicalIF":14.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/advs.202570102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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