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浏览/检索结果: 共372条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Terrestrial ecosystem response to Early Cretaceous global environmental change: A calibrated, high-resolution Aptian record from Northeast China 期刊论文  OAI收割 EARTH AND PLANETARY SCIENCE LETTERS, 2025, 卷号: 653, 页码: 13 作者:  Sun, Ming-Dao;  Lin, Qin;  Ramezani, Jahandar;  Liu, Jiang-Si;  Lu, Zheng-An   |  收藏  |  浏览/下载：11/0  |  提交时间：2025/04/03 Early Cretaceous  Aptian  CA-ID-TIMS geochronology  Astrochronology  Carbon isotope stratigraphy   Probability analysis of shallow landslides in varying vegetation zones with random soil grain-size distribution 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2025, 卷号: 183, 页码: 18 作者:  Jiang, Hu;  Zou, Qiang;  Li, Yong;  Jiang, Yao;  Cui, Junfang   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/12/23 landslide  Slope stability  Susceptibility prediction  Random soil strength parameter  Machine learning  Vegetated slopes   Transcriptomic decoding of regional cortical vulnerability to major depressive disorder 期刊论文  OAI收割 COMMUNICATIONS BIOLOGY, 2024, 卷号: 7, 期号: 1, 页码: 12 作者:  Zhu, Jiajia;  Chen, Xiao;  Lu, Bin;  Li, Xue-Ying;  Wang, Zi-Han   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/09/10 Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22 作者:  Jiang, Hu   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/10/08 Spatiotemporal prediction  Rainfall-driven debris flow  Deep learning  Machine learning  Rainfall features   Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22 作者:  Jiang, Hu;  Zou, Qiang;  Zhu, Yunqiang;  Li, Yong;  Zhou, Bin   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/08/14 Spatiotemporal prediction  Rainfall-driven debris flow  Deep learning  Machine learning  Rainfall features   Neoadjuvant chemotherapy with or without camrelizumab in resectable esophageal squamous cell carcinoma: the randomized phase 3 ESCORT-NEO/NCCES01 trial 期刊论文  OAI收割 NATURE MEDICINE, 2024 作者:  Qin, Jianjun;  Xue, Liyan;  Hao, Anlin;  Guo, Xiaofeng;  Jiang, Tao   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/11/22 Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 3, 页码: 4254-4258 作者:  Wu, Wansen;  Yang, Weiyi;  Li, Juanjuan;  Zhao, Yong;  Zhu, Zhengqiu   |  收藏  |  浏览/下载：189/0  |  提交时间：2024/07/03 Crowdsensing  Sensors  Task analysis  Robot sensing systems  Decentralized autonomous organization  Automation  Artificial intelligence  Cyber-physical-social systems (CPSS)  crowdsensing intelligence (CSI)  autonomous crowdsensing   Reduced sulfur compounds and carboxylic acid groups in dissolved PFRs of iron-biochar enhance Cr(VI) reduction in anaerobic conditions 期刊论文  OAI收割 BIOCHAR, 2024, 卷号: 6, 期号: 1, 页码: 17 作者:  Hu, Shujie;  Liu, Chengshuai;  Bu, Hongling;  Chen, Manjia;  Tang, Jiao   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/09/12 Biochar  Iron-modification  PFRs  Hexavalent chromium  Anaerobic condition   Compound extreme inundation risk of coastal wetlands caused by climate change and anthropogenic activities in the Yellow River Delta, China 期刊论文  OAI收割 ADVANCES IN CLIMATE CHANGE RESEARCH, 2024, 卷号: 15, 期号: 1, 页码: 134-147 作者:  Wang, Xiao-Li;  Feng, Ai-Qing;  Hou, Xi -Yong;  Chao, Qing-Chen;  Song, Bai-Yuan   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/10/24 Climate change  Anthropogenic activities  Compound extreme risk  Coastal wetlands  Yellow River Delta   A GSD-driven approach to deriving stochastic soil strength parameters under hybrid machine learning models 期刊论文  OAI收割 EUROPEAN JOURNAL OF SOIL SCIENCE, 2024, 卷号: 75, 期号: 6, 页码: 18 作者:  Jiang, Hu;  Li, Yong;  Zou, Qiang;  Zhang, Jun;  Cui, Junfang   |  收藏  |  浏览/下载：4/0  |  提交时间：2025/01/15 grain-size distribution  Hengduan mountain  hybrid machine learning models  regional physical modelling  stochastic soil strength parameters