机构

• 地理科学与资源研究... [22]
• 上海药物研究所 [7]
• 合肥物质科学研究院 [3]
• 科技战略咨询研究院 [1]
• 西北高原生物研究所 [1]
• 海洋研究所 [1]
• 更多

采集方式

• OAI收割 [37]

内容类型

• 期刊论文 [37]

发表日期

• 2025 [4]
• 2024 [4]
• 2023 [5]
• 2022 [14]
• 2021 [6]
• 2018 [3]
• 更多

学科主题

• Plant Scie... [1]

筛选

浏览/检索结果: 共37条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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作者升序作者降序 Environmental Conditions and Mite Vectors Shape the Spatiotemporal Patterns of Scrub Typhus in Guangdong Province, Mainland China 期刊论文  OAI收割 TROPICAL MEDICINE AND INFECTIOUS DISEASE, 2025, 卷号: 10, 期号: 11, 页码: 326 作者:  Fan, Peiwei;  Ma, Tian;  Meng, Ze;  Ding, Fangyu;  Chen, Shuai   |  收藏  |  浏览/下载：4/0  |  提交时间：2026/01/21 scrub typhus  spatiotemporal patterns  driving factors  bimodal pattern  Bayesian hierarchical mixed model   Modeling the Potential Invasion Risk of Ageratina adenophora in China From an Ecological Suitability Perspective 期刊论文  OAI收割 ECOLOGY AND EVOLUTION, 2025, 卷号: 15, 期号: 10, 页码: e72392 作者:  Xie, Xiaolan;  Ma, Tian;  Chen, Yu;  Zhuo, Jun;  Chen, Shuai   |  收藏  |  浏览/下载：5/0  |  提交时间：2025/11/17 Ageratina Adenophora  climate change  future prediction  human activity  invasion risk  random forest   Biostratigraphy and Microfacies of Upper Cretaceous Oceanic Red Beds in the Northern Tethyan Himalaya: A Case Study from the Zhangguo Section, Gyangze, Southern Tibet, China 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2025, 卷号: 15, 期号: 13, 页码: 27 作者:  Li, Yuewei;  Li, Guobiao;  Ding, Jie;  Xie, Dan;  Wang, Tianyang   |  收藏  |  浏览/下载：4/0  |  提交时间：2025/10/16 CORBs  planktic foraminiferal biostratigraphy  microfacies  Late Cretaceous  Zhangguo  Tibet   A prodrug nanodevice co-delivering docetaxel and ROR1 siRNA for enhanced triple negative breast cancer therapy 期刊论文  OAI收割 ACTA BIOMATERIALIA, 2025, 卷号: 193, 页码: 498-513 作者:  Yin, Lixuan;  Fu, Zirang;  Wang, Mengmeng;  Liu, Bo;  Sun, Xujie   |  收藏  |  浏览/下载：66/0  |  提交时间：2025/04/01 Triple-negative breast cancer  Docetaxel  Prodrug nanoparticle  ROR1 siRNA  pH responsive   Berberine Derivative B68 Promotes Tumor Immune Clearance by Dual-Targeting BMI1 for Senescence Induction and CSN5 for PD-L1 Degradation 期刊论文  OAI收割 ADVANCED SCIENCE, 2024, 页码: 21 作者:  Hu, Hongmei;  Wang, Qun;  Yu, Dianping;  Tao, Xiaoyu;  Guo, Mengmeng   |  收藏  |  浏览/下载：64/0  |  提交时间：2025/02/28 BMI1  colorectal cancer  CSN5  PD-L1  tumor cell senescence   The impacts of climate change on violent conflict risk: a review of causal pathways 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2024, 卷号: 6, 期号: 11, 页码: 112002 作者:  Xie, Xiaolan;  Hao, Mengmeng;  Ding, Fangyu;  Scheffran, Juergen;  Ide, Tobias   |  收藏  |  浏览/下载：41/0  |  提交时间：2024/12/20 climate change  violent conflict risk  causal pathways   Expression characteristics and interference analysis of glucose-6-phosphate dehydrogenase reveal its importance in Pyropia yezoensis under salt stress 期刊论文  OAI收割 ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS, 2024, 卷号: 80, 页码: 7 作者:  Shi, Mengmeng;  Lin, Guohong;  Zhang, Baoyu;  Xie, Xiujun;  Qiang, Xi   |  收藏  |  浏览/下载：52/0  |  提交时间：2024/08/29 Cytoplasmic G6PDH  Chloroplastic G6PDH  Pyropia yezoensis  Salt stress  Cyclic electron flow   Fine-resolution estimation for urban surface water pollution susceptibility with multi-modal earth observation data 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 6, 页码: 9 作者:  Shao, Mengmeng;  Xie, Xiao;  E, Chao;  Li, Jingzhong;  Ren, Wanxia   |  收藏  |  浏览/下载：66/0  |  提交时间：2024/07/24 multi-modal earth observation data  very-high-resolution UAV image  deep learning  surface water pollution susceptibility  water quality   Modeling analysis of armed conflict risk in sub-Saharan Africa, 2000-2019 期刊论文  OAI收割 PLOS ONE, 2023, 卷号: 18, 期号: 10, 页码: 13 作者:  Xie, Xiaolan;  Jiang, Dong;  Hao, Mengmeng;  Ding, Fangyu   |  收藏  |  浏览/下载：45/0  |  提交时间：2023/11/06 An integrated deep-learning and multi-level framework for understanding the behavior of terrorist groups 期刊论文  OAI收割 HELIYON, 2023, 卷号: 9, 期号: 8, 页码: 17 作者:  Jiang, Dong;  Wu, Jiajie;  Ding, Fangyu;  Ide, Tobias;  Scheffran, Juergen   |  收藏  |  浏览/下载：60/0  |  提交时间：2023/10/09 Terrorism  Deep learning  Terrorist group  Terrorist network