机构

• 化学研究所 [42]
• 国家天文台 [24]
• 近代物理研究所 [24]
• 地质与地球物理研究... [19]
• 大连化学物理研究所 [18]
• 植物研究所 [18]
• 更多

采集方式

• OAI收割 [381]
• iSwitch采集 [6]

内容类型

• 期刊论文 [383]
• 会议论文 [4]

发表日期

• 2024 [7]
• 2023 [23]
• 2022 [28]
• 2021 [38]
• 2020 [16]
• 2019 [32]
• 更多

学科主题

• Physics [6]
• Plant Scie... [6]
• Chemistry [5]
• Biochemist... [4]
• Pharmacolo... [4]
• Evolutiona... [3]
• 更多

筛选

浏览/检索结果: 共387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 Zexie-Baizhu Decoction ameliorates non-alcoholic fatty liver disease through gut-adipose tissue crosstalk 期刊论文  OAI收割 JOURNAL OF ETHNOPHARMACOLOGY, 2025, 卷号: 337, 页码: 14 作者:  Shi, Jingying;  Liu, Yawen;  Zhang, Zijia;  Zhong, Xianchun;  Cao, Yuhan   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/10/21 Zexie-Baizhu Decoction  Traditional Chinese medicine  Akkermansia muciniphila  Bile acids  Short chain fatty acid  Lipidomics   π-HuB: the proteomic navigator of the human body 期刊论文  OAI收割 NATURE, 2024, 卷号: 636, 期号: 8042, 页码: 322-331 作者:  He, Fuchu;  Aebersold, Ruedi   |  收藏  |  浏览/下载：10/0  |  提交时间：2025/04/01 Prognostic value of lymphocytes in patients with breast cancer receiving radiotherapy after breast-conserving surgery: A post hoc analysis of a phase III randomized trial 期刊论文  OAI收割 RADIOTHERAPY AND ONCOLOGY, 2024, 卷号: 199 作者:  Song, Yu-Chun;  Chen, Si-Ye;  Zhao, Xu-Ran;  Jing, Hao;  Fang, Hui   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/11/22 Breast cancer  Lymphocyte  Radiotherapy  Breast-conserving surgery  Prognosis   Fabricating bio-inspired high impact resistance carbon nanotube network films for multi-protection under an extreme environment 期刊论文  OAI收割 NANO RESEARCH, 2024, 页码: 10 作者:  Zhu, Mingquan;  Xiao KL(肖凯璐);  Zhang, Wei;  Lei XD(雷旭东);  Bai, Yunxiang   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/08/01 carbon nanotubes  composites  mechanical properties  multi-function   Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma 期刊论文  OAI收割 JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2024, 页码: 10 作者:  Lin, Da-Feng;  Li, Hai-Lin;  Liu, Ting;  Lv, Xiao-Fei;  Xie, Chuan-Miao   |  收藏  |  浏览/下载：30/0  |  提交时间：2024/07/04 Linking carbon cycle perturbations to the Late Ordovician glaciation and mass extinction: A modeling approach 期刊论文  OAI收割 EARTH AND PLANETARY SCIENCE LETTERS, 2024, 卷号: 631, 页码: 9 作者:  Zhang, Junpeng;  Li, Chao;  Zhong, Yangyang;  Wu, Xuejin;  Fang, Xiang   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/09/12 Carbon isotopes  Hirnantian glaciation  Weathering  Volcanism  LOME  HICE   Linking carbon cycle perturbations to the Late Ordovician glaciation and mass extinction: A modeling approach 期刊论文  OAI收割 EARTH AND PLANETARY SCIENCE LETTERS, 2024, 卷号: 631, 页码: 9 作者:  Zhang, Junpeng;  Li, Chao;  Zhong, Yangyang;  Wu, Xuejin;  Fang, Xiang   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/06/13 Carbon isotopes  Hirnantian glaciation  Weathering  Volcanism  LOME  HICE   Calcium isotopic variability in hotspot lavas controlled by partial melting and source lithological heterogeneity 期刊论文  OAI收割 CHEMICAL GEOLOGY, 2024, 卷号: 644, 页码: 11 作者:  Wang, Xiao-Jun;  Chen, Li -Hui;  Hanyu, Takeshi;  Zhou, Zhong-Biao;  Liu, Jian-Qiang   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/09/10 Ocean island basalt  Calcium isotopes  Partial melting  Mantle source lithology   Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343, 页码: 109758 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：29/0  |  提交时间：2023/12/04 Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses   In-vivo verified anatomically aware deep learning for real-time electric field simulation 期刊论文  OAI收割 JOURNAL OF NEURAL ENGINEERING, 2023, 卷号: 20, 期号: 6, 页码: 17 作者:  Ma, Liang;  Zhong, Gangliang;  Yang, Zhengyi;  Lu, Xuefeng;  Fan, Lingzhong   |  收藏  |  浏览/下载：23/0  |  提交时间：2024/02/22 electric field  transcranial magnetic stimulation  coil placement  deep learning  in-vivo verification