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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2018     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Impacts of recent climate extremes on spring phenology in arid-mountain ecosystems in China 期刊论文 AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 260, 页码: 31-40 作者:  He, Zhibin;  Du, Jun;  Chen, Longfei;  Zhu, Xi;  Lin, Pengfei 收藏  |  浏览/下载：53/0  |  提交时间：2019/10/09 Spring phenology  Drought  Warming  Arid mountain ecosystems   Regional Variability of Agriculturally-Derived Nitrate-Nitrogen in Shallow Groundwater in China, 2004-2014 期刊论文 SUSTAINABILITY, 2018, 卷号: 10, 期号: 5, 页码: 13 作者:  Li, Jing;  He, Zhibin;  Du, Jun;  Zhao, Liwen;  Chen, Longfei 收藏  |  浏览/下载：27/0  |  提交时间：2019/05/23 shallow groundwater  agro-ecosystems  NO3--N concentration  China   A new organic compound of 2-(2,2-diphenylethenyl)anthracene (DPEA) showing simultaneous electrical charge transport property and AIE optical characteristics 期刊论文 JOURNAL OF MATERIALS CHEMISTRY C, 2018, 卷号: 6, 期号: 15, 页码: 3856-3860 作者:  Liu, Dan;  Li, Jie;  Liu, Jie;  Lu, Xiuqiang;  Hu, Mengxiao 收藏  |  浏览/下载：37/0  |  提交时间：2019/04/09 Carbon Mass Change and Its Drivers in a Boreal Coniferous Forest in the Qilian Mountains, China from 1964 to 2013 期刊论文 FORESTS, 2018, 卷号: 9, 期号: 2, 页码: 16 作者:  Fang, Shu;  He, Zhibin;  Du, Jun;  Chen, Longfei;  Lin, Pengfei 收藏  |  浏览/下载：33/0  |  提交时间：2019/10/09 carbon mass  NPP  Picea crassifolia  climate change   Prognostic significance of NANOG expression in solid tumors: a meta-analysis. 期刊论文 OncoTargets and therapy, 2018, 卷号: Vol.11, 页码: 5515-5526 作者:  Zhao Lingqiong;  Liu Jie;  Chen Shu;  Fang Chun;  Zhang Xianquan 收藏  |  浏览/下载：6/0  |  提交时间：2019/02/25 NANOG  cancer  meta-analysis  prognosis   Switching impulse discharge voltage prediction of EHV and UHV transmission lines-tower air gaps by a support vector classifier 期刊论文 IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 卷号: 12, 期号: 15 作者:  Qiu, Zhibin;  Ruan, Jiangjun;  Jin, Qi;  Wang, Xuezong;  Huang, Daochun 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/05 air gaps  learning (artificial intelligence)  feature extraction  support vector machines  discharges (electric)  power transmission lines  poles and towers  prediction theory  overhead line conductors  power engineering computing  feature extraction  machine learning algorithm  electrostatic field distribution  support vector classifier  engineering gap configurations  conductor-tower gaps  high-voltage engineering  electric field simulation  rod-plane gaps  switching impulse discharge voltage prediction model  HV engineering  UHV transmission lines-tower air gaps  EHV transmission lines-tower air gaps  ultraHV transmission lines-tower air gaps  extraHV transmission lines-tower air gaps  SVC  mean absolute percentage errors  external insulation design