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浏览/检索结果: 共522条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Differences in plant water use between check-dam land and slope land on the Loess Plateau: Significance for vegetation restoration 期刊论文  OAI收割 AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2024, 卷号: 362, 页码: 108849 作者:  Jia, Xiaoxu;  Bai, Xiao;  Liu, Chenggong;  Zhao, Chunlei;  Shao, Ming 'an   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/01/26 Hillslope  Check dam  Water resource  Plant water use strategy   Structural succession of land resources under the influence of different policies: A case study for Shanxi Province, China 期刊论文  OAI收割 LAND USE POLICY, 2023, 卷号: 132, 页码: 106810 作者:  Yu, Ziyue;  Deng, Xiangzheng;  Cheshmehzangi, Ali;  Mangi, Eugenio   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/09/07 Land resources  Scenario simulation  CGELUC  DLS model  SAM table  Land use policy   A preliminary investigation of water storage in check-dams across China's Loess Plateau using electrical resistivity tomography 期刊论文  OAI收割 HYDROLOGICAL PROCESSES, 2023, 卷号: 37, 期号: 2 作者:  Liu, Chenggong;  Jia, Xiaoxu;  Ren, Lidong;  Duan, Guoxiu;  Shao, Ming'an   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/04/06 check-dam  electrical resistivity tomography  groundwater  the Loess Plateau  water resource   Tracing the geographic origin of endangered plant species using transcriptome-derived SNPs: An example of Cathaya argyrophylla 期刊论文  OAI收割 MOLECULAR ECOLOGY RESOURCES, 2023, 卷号: 23, 期号: 4, 页码: 844-854 作者:  Sun, Jing-Jing;  Xia, Xiao-Mei;  Wei, Xiao-Xin;  Wang, Xiao-Quan   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/03/07 Cathaya  double-blind trial  geographic traceability  population genetics  RNA-seq  SNPs   Valuation of Land-Use/Land-Cover-Based Ecosystem Services in Afghanistan-An Assessment of the Past and Future 期刊论文  OAI收割 LAND, 2022, 卷号: 11, 期号: 11, 页码: 32 作者:  Najmuddin, Omaid;  Li, Zhihui;  Khan, Rabnawaz;  Zhuang, Weiqing   |  收藏  |  浏览/下载：13/0  |  提交时间：2022/12/20 ecosystem services value  value coefficient  DLS  scenario analysis  land use change   Valuation of Land-Use/Land-Cover-Based Ecosystem Services in Afghanistan-An Assessment of the Past and Future 期刊论文  OAI收割 LAND, 2022, 卷号: 11, 期号: 11, 页码: 32 作者:  Najmuddin, Omaid;  Li, Zhihui;  Khan, Rabnawaz;  Zhuang, Weiqing   |  收藏  |  浏览/下载：9/0  |  提交时间：2022/12/20 ecosystem services value  value coefficient  DLS  scenario analysis  land use change   Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging 期刊论文  OAI收割 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 10, 页码: 2570-2581 作者:  Xiao, Anqi;  Shen, Biluo;  Shi, Xiaojing;  Zhang, Zhe;  Zhang, Zeyu   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/11/14 Imaging  Computer architecture  Fluorescence  Feature extraction  Surgery  Biomedical imaging  Medical diagnostic imaging  Deep learning  glioma grading  intraoperative imaging  multi-modal imaging  neural architecture search  NIR-II fluorescence imaging   How multiple noncovalent interactions regulate the aggregation behavior of amphiphilic triblock copolymer/surface-active ionic liquid mixtures 期刊论文  OAI收割 JOURNAL OF MOLECULAR LIQUIDS, 2022, 卷号: 363, 页码: 12 作者:  Luo, Haiyan;  Jiang, Kun;  Wang, Xiaotian;  Yao, Haoyu;  Liang, Xiangfeng   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/02/24 Noncovalent interactions  Block copolymers  Ionic liquids  Aggregation behavior  Structural evolution   Large aperture phase-coded diffractive lens for achromatic and 16° field-of-view imaging with high efficiency 期刊论文  OAI收割 Chinese Physics B, 2022, 卷号: 31, 期号: 7 作者:  Ma, Gu;  Zheng, Peng-Lei;  Hu, Zheng-Wen;  Ma, Suo-Dong;  Xu, Feng   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/08/31 achromatic imaging  diffractive lens  phase coding  large aperture  high efficiency   Deep learning with whole slide images can improve the prognostic risk stratification with III colorectal cancer 期刊论文  OAI收割 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 11 作者:  Sun, Caixia;  Li, Bingbing;  Wei, Genxia;  Qiu, Weihao;  Li, Danyi   |  收藏  |  浏览/下载：29/0  |  提交时间：2022/07/25 Chemotherapy duration  Whole slide images  Deep learning  Colorectal cancer  Prognosis