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浏览/检索结果: 共715条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Dissimilarities in the COVID-19 pandemic reshaping of time use and travel in metropolitan and nonmetropolitan resident behavior from 2019 to 2023 期刊论文  OAI收割 CITIES, 2026, 卷号: 171, 页码: 106808 作者:  Shi, Hui;  You, Zhen;  Goulias, Konstadinos G.   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/03/16 Travel behavior  Time use  Metropolitan dynamics  COVID-19   Monitoring port congestion based on vessel stay behavior recognition: A case study of two US ports around COVID-19 pandemic 期刊论文  OAI收割 JOURNAL OF TRANSPORT GEOGRAPHY, 2026, 卷号: 132, 页码: 104600 作者:  Xin, Rui;  Zhu, Qianle;  Wang, Jiaoe;  Yang, Jian;  Pan, Jiale   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Port congestion  Automatic identification system (AIS)  Vessel stay behavior  COVID-19  Spatiotemporal evolution   Desynchrony of public attention dynamics for epidemic development across different geographical scales in the online era 期刊论文  OAI收割 HABITAT INTERNATIONAL, 2026, 卷号: 168, 页码: 103697 作者:  Shen, Nuozhou;  Wang, Xiaoxiao;  Zhang, Haiping;  Xiong, Liyang;  Tang, Guo'An   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/02/09 Health crisis  COVID-19  Public attention dynamics  Geographical regionalization  Multi-scale analysis   The effect of non-pharmaceutical interventions on influenza throughout the COVID-19 pandemic: an 8-year interrupted time series study 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2026, 卷号: 16, 期号: 1, 页码: 6593 作者:  Li, Zhirui   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 Influenza  Covid-19  Interrupted time series analysis (ITSA)  Immunity debt  Non-pharmacological interventions   Global Atmospheric Pollution During the Pandemic Period (COVID-19) 期刊论文  OAI收割 ATMOSPHERE, 2026, 卷号: 17, 期号: 1, 页码: 89 作者:  Alvim, Debora Souza;  Suski, Cassio Aurelio;  Herdies, Dirceu Luis;  Fontana, Caio Fernando;  de Toledo, Eliza Miranda   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/03/16 air pollution  climate-air quality interactions  COVID-19 lockdown  remote sensing  pollutant concentrations   A comparative study of CO2 emissions from provincial transportation industry before and after COVID-19 in China 期刊论文  OAI收割 ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2026, 卷号: N/A 作者:  He, Yi-jing;  Wen, Wen;  Zhang, Xing-man;  Su, Yang;  Gao, Xing   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/02/09 COVID-19  Transportation  Multi-Regional Input-Output model (MRIO)  Carbon emissions  Structural path analysis (SPA)   Deep Learning and COVID-19: Two Pathways to Scientific Evolution 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2025, 卷号: 15, 期号: 16, 页码: 8912 作者:  Kang, Huquan;  Dong, Hanyan;  Ding, Yuang;  Jin, Zhouyang;  Fu, Luoyi   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/10/20 deep learning  COVID-19  interdisciplinary research  science of science  sci-entropy  knowledge diffusion  knowledge integration   Design, Synthesis, and Biological Evaluation of Peptidomimetic Tetrahydropyrrole Spirodihydroindolones as SARS-CoV-2 3CL Protease Inhibitors 期刊论文  OAI收割 ACS MEDICINAL CHEMISTRY LETTERS, 2025, 卷号: 16, 期号: 5, 页码: 790-796 作者:  Hu, Liuyan;  Zhao, Zhi;  Zhang, Shujing;  Yang, Lei;  Cui, Wenjie   |  收藏  |  浏览/下载：24/0  |  提交时间：2025/06/23 COVID-19  SARS-CoV-2  3CL protease  Peptidomimetic inhibitors  Tetrahydropyrrole spirodihydroindolone   Genome-Wide Mining of Chitinase Diversity in the Marine Diatom Thalassiosira weissflogii and Functional Characterization of a Novel GH19 Enzyme 期刊论文  OAI收割 MARINE DRUGS, 2025, 卷号: 23, 期号: 4, 页码: 18 作者:  Cheng, Mengzhen;  Li, Shuang;  Wang, Jiahui;  Yang, Xiaoqi;  Duan, Delin   |  收藏  |  浏览/下载：26/0  |  提交时间：2025/07/11 beta-chitin  chitinase  gene family  glycoside hydrolase 19  diatom  enzymatic activity   Analysis of Population Flow Changes in Red Tourism Counties of China Before and After the COVID-19 Pandemic Based on Mobile Signaling Data 期刊论文  OAI收割 SUSTAINABILITY, 2025, 卷号: 17, 期号: 1, 页码: 148 作者:  Bai, Yaqing;  Wang, Min;  Xu, Xinliang;  Li, Jiahui;  Cheng, Xuepeng   |  收藏  |  浏览/下载：56/0  |  提交时间：2025/02/24 sustainable red tourism development  mobile signaling data  population flow  COVID-19 pandemic  spatiotemporal analysis  post-pandemic recovery