机构

• 上海药物研究所 [12]
• 地球化学研究所 [11]
• 心理研究所 [10]
• 西北高原生物研究所 [9]
• 地质与地球物理研究所 [7]
• 武汉岩土力学研究所 [7]
• 更多

采集方式

• OAI收割 [113]
• iSwitch采集 [4]

内容类型

• 期刊论文 [116]
• 预印本 [1]

发表日期

• 2025 [1]
• 2024 [3]
• 2023 [7]
• 2022 [7]
• 2021 [18]
• 2020 [10]
• 更多

学科主题

• Engineerin... [3]
• Geology [2]
• Plant Scie... [2]
• Science & ... [2]
• 天文学 [2]
• 天文学::星系与宇宙... [2]
• 更多

筛选

浏览/检索结果: 共117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 Science objectives of the Einstein Probe mission 期刊论文  OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2025, 卷号: 68, 期号: 3 作者:  Yuan, Weimin;  Dai, Lixin;  Feng, Hua;  Jin, Chichuan;  Jonker, Peter   |  收藏  |  浏览/下载：35/0  |  提交时间：2025/02/13 Einstein Probe  X-ray astronomy  X-ray telescopes  time-domain astronomy  transients  variability   Simultaneous Quantitative Analysis of Soil Heavy Metals As and Pb Based on Energy Dispersive XRF Spectroscopy 期刊论文  OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 卷号: 44 作者:  Ye, Zi-qi;  Gan, Ting-ting;  Wu, Wen-tao;  Zhao, Nan-jing;  Yin, Gao-fang   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/11/20 X-ray fluorescence  Lead  Arsenic  Overlapping peak analysis  Simultaneous quantitative detection   Introduction and Safe Use of Gas Cylinders in China 期刊论文  OAI收割 ACS Sustainable Chem. Eng., 2024, 卷号: 2024, 期号: 12, 页码: 5496−5508 作者:  Ming-Ming Yu;  Zhenghao hang Zhang;  Gui-Ling Guan;  Bhagyesha Patil;  Priya Darshini Srinivasan   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/12/23 carbon dioxide  doping  Co-based catalysts  hydrogenation  reaction mechanisms   Visible light-activated photosensitizer inhibits the plasmid-mediated horizontal gene transfer of antibiotic resistance genes 期刊论文  OAI收割 Journal of Hazardous Materials, 2024, 卷号: 461, 页码: 132564 作者:  Yan-Zi Wang;  Xin-Li An;  Xiao-Ting Fan;  Qiang Pu;  Hu Li   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/04/19 Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study 期刊论文  OAI收割 BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 13 作者:  Liu, Ting;  Dong, Di;  Zhao, Xun;  Ou, Xiao-Min;  Yi, Jun-Lin   |  收藏  |  浏览/下载：33/0  |  提交时间：2024/02/22 Recurrent nasopharyngeal carcinoma  Re-radiotherapy  Nasopharyngeal necrosis  Radiomics   The association between childhood adiposity in northeast China and anthropogenic heat flux: A new insight into the comprehensive impact of human activities 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH, 2023, 卷号: 254, 页码: 12 作者:  Zhang, Hong-Zhi;  Wang, Dao-Sen;  Wu, Si-Han;  Huang, Guo-Feng;  Chen, Duo-Hong   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/09/10 Anthropogenic heat flux  Adiposity status  Children   A longitudinal resource for population neuroscience of school-age children and adolescents in China 期刊论文  OAI收割 SCIENTIFIC DATA, 2023, 卷号: 10, 期号: 1, 页码: 24 作者:  Fan, Xue-Ru;  Wang, Yin-Shan;  Chang, Da;  Yang, Ning;  Rong, Meng-Jie   |  收藏  |  浏览/下载：40/0  |  提交时间：2023/12/11 A meta-analysis of the association between mindfulness and motivation 期刊论文  OAI收割 FRONTIERS IN PUBLIC HEALTH, 2023, 卷号: 11, 页码: 12 作者:  Li, Li-ying;  Meng, Xue;  Hu, Wen-ting;  Geng, Jia-sen;  Cheng, Tian-hua   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/10/09 mindfulness  motivation  intrinsic motivation  extrinsic motivation  amotivation   Forrestiacids E-K: Further [4+2]-Type Triterpene-Diterpene Hybrids as Potential ACL Inhibitors from the Vulnerable Conifer Pseudotsuga forrestii 期刊论文  OAI收割 JOURNAL OF NATURAL PRODUCTS, 2023, 卷号: 86, 期号: 5, 页码: 1251-1260 作者:  Zhou, Peng-Jun;  Huang, Ting;  Ma, Guang-Lei;  Tong, Ying-Peng;  Chen, Wen-Xue   |  收藏  |  浏览/下载：41/0  |  提交时间：2023/10/17 Rockburst time warning method with blasting cycle as the unit based on microseismic information time series: a case study 期刊论文  OAI收割 BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2023, 卷号: 82, 期号: 4 作者:  Hu, Lei;  Feng, Xia-Ting;  Yao, Zhi-Bin;  Zhang, Wei;  Niu, Wen-Jing   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/08/02 Rockburst  Microseismic monitoring  Rockburst time warning  Deep tunnel  Deep learning