机构

• 地理科学与资源研究所 [3]
• 上海药物研究所 [2]
• 计算技术研究所 [1]
• 西北高原生物研究所 [1]
• 合肥物质科学研究院 [1]
• 西安光学精密机械研究... [1]
• 更多

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [10]

发表日期

• 2023 [10]

学科主题

• Environmen... [1]

筛选

浏览/检索结果: 共10条，第1-10条 帮助 限定条件 发表日期：2023    内容类型：期刊论文     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 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：13/0  |  提交时间：2023/12/04 Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses   Systematical targeted multicomponent characterization and comparison of Arnebiae Radix and its three confusing species by offline two-dimensional liquid chromatography/LTQ-Orbitrap mass spectrometry 期刊论文  OAI收割 ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2023, 页码: 13 作者:  Sha, Fei;  Zhang, Jianqing;  Yang, Huanya;  Hu, Yunshu;  Wei, Wenlong   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/02/19 Arnebiae Radix  Two-dimensional liquid chromatography  Mass defect filter  Precursor ion list  Components characterization   Enantioselective Assembly of α, β-Diamine Acid Derivatives via Three-Component Reaction of α-H Diazoacetates with Sulfonamides and Imines 期刊论文  OAI收割 ADVANCED SYNTHESIS & CATALYSIS, 2023, 页码: 8 作者:  Sha, Hongkai;  Xie, Xiongda;  Zhang, Dan;  Hu, Wenhao;  Kang, Zhenghui   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/03/13 asymmetric three-component reaction  alpha, beta-diamine acid  metal carbenes  ammonium ylide  alpha-H diazoacetates   Event-related potentials reveal visual episodic memory deficits in patients with temporal lobe epilepsy 期刊论文  OAI收割 EPILEPSY & BEHAVIOR, 2023, 卷号: 148 作者:  Tian, Ziwei;  Huang, Sha;  Wen, Shirui;  Zhang, Qiong;  Huang, Kailing   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/12/06 Temporal lobe epilepsy  Episodic memory  ERP  FN400  LPC  LPN   FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring 期刊论文  OAI收割 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 5, 页码: 970-984 作者:  Hu, Chun-Yu;  Hu, Li-Sha;  Yuan, Lin;  Lu, Dian-Jie;  Lyu, Lei   |  收藏  |  浏览/下载：0/0  |  提交时间：2024/05/20 federated learning  incremental learning  random forest  wearable health monitoring   Treating relapsed/refractory mature T- and NK-cell neoplasms with tislelizumab: a multicenter open-label phase 2 study 期刊论文  OAI收割 BLOOD ADVANCES, 2023, 卷号: 7 作者:  Bachy, Emmanuel;  Savage, Kerry J.;  Huang, Huiqiang;  Kwong, Yok-Lam;  Gritti, Giuseppe   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/11/10 Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18 作者:     |  收藏  |  浏览/下载：42/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18 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：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   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 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/12/01 Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：24/0  |  提交时间：2024/03/07 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension