机构

• 西北高原生物研究所 [19]
• 昆明植物研究所 [16]
• 地理科学与资源研究... [14]
• 心理研究所 [14]
• 光电技术研究所 [13]
• 上海药物研究所 [9]
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采集方式

• OAI收割 [172]
• iSwitch采集 [5]

内容类型

• 期刊论文 [172]
• 会议论文 [5]

发表日期

• 2024 [7]
• 2023 [11]
• 2022 [8]
• 2021 [24]
• 2020 [7]
• 2019 [10]
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学科主题

• Chemistry [5]
• Pharmacolo... [3]
• 天文学 [3]
• Chemistry,... [2]
• Chemistry,... [2]
• Ecology [2]
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浏览/检索结果: 共177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 Giant reversible barocaloric effects with high thermal cycle stability in epoxybonded (MnCoGe)0.96(CuCoSn)0.04 composite 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS, 2024 作者:  Kuang, Yafei;  Tao, Kun;  Yang, Bo;  Tong, Peng;  Zhang, Yan   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/11/20 barocaloric effects  cycle stability  reversible isothermal entropy change  reversible adiabatic temperature change  MnCoGe alloys   Exploring the environmental risks and seasonal variations of potentially toxic elements (PTEs) in fine road dust in resource-based cities based on Monte Carlo simulation, geo-detector and random forest model 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 473, 页码: 134708 作者:  Yang, Yufan;  Lu, Xinwei;  Yu, Bo;  Wang, Zhenze;  Wang, Lingqing   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/07/12 Potentially toxic element  Ecological-health risk  Monte Carlo simulation  geo-detector  Random forest   Regulation of Glandular Size and Phytoalexin Biosynthesis by a Negative Feedback Loop in Cotton 期刊论文  OAI收割 ADVANCED SCIENCE, 2024, 页码: 11 作者:  Wu, Wen-Kai;  Nie, Gui-Bin;  Lin, Jia-Ling;  Huang, Jia-Fa;  Guo, Xiao-Xiang   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/07/12 cotton  jasmonate  pigment gland  VQ domain   Factors controlling the contributions of bacterial and fungal residue carbon to soil organic carbon in grassland ecosystems 期刊论文  OAI收割 CATENA, 2024, 卷号: 241, 页码: 108006 作者:  Yu, Yingchao;  Pan, Junxiao;  Wu, Honghui;  Zhu, Juntao;  Zong, Ning   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/09/19 Fungal residue carbon  Bacterial residue carbon  Extracellular enzyme activity  Soil C/N  Alpine grassland  Temperate grassland   Cross-ancestry genome-wide association studies of brain imaging phenotypes 期刊论文  OAI收割 NATURE GENETICS, 2024, 页码: 31 作者:  Fu, Jilian;  Zhang, Quan;  Wang, Jianhua;  Wang, Meiyun;  Zhang, Bing   |  收藏  |  浏览/下载：26/0  |  提交时间：2024/06/29 New fossils reveal the Paleogene establishment of relict Craigia (Malvaceae) in its extant range 期刊论文  OAI收割 PALAEOWORLD, 2024, 卷号: 33, 期号: 2, 页码: 439-447 作者:  Li, Jia;  Zhang, Shi-Tao;  Li, Xue-Yan;  Xu, Cong-Li;  Zhu, Yuan   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/08/28 Endangered plants  floristic evolution  paleoendemism  Paleogene  Malvaceae   Factors controlling the contributions of bacterial and fungal residue carbon to soil organic carbon in grassland ecosystems 期刊论文  OAI收割 CATENA, 2024, 卷号: 241 作者:  Yu, Yingchao;  Pan, Junxiao;  Wu, Honghui;  Zhu, Juntao;  Zong, Ning   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/11/27 Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文  OAI收割 IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15 作者:  Zhang, Yu;  Zuo, Xin;  Zheng, Xuxu;  Gao, Xiaoyong;  Wang, Bo   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/05/20 Few-shot learning  Metric-based learning framework  Softmax loss improvement   Source-specific probabilistic risk evaluation of potentially toxic metal(loid) s in fine dust of college campuses based on positive matrix factorization and Monte Carlo simulation 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 卷号: 347, 页码: 16 作者:  Lu, Xinwei;  Wang, Zhenze;  Chen, Yurong;  Yang, Yufan;  Fan, Xinyao   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/11/29 Potentially toxic metal(loid)s  Positive matrix factorization  Monte Carlo simulation  Fine dust  Campus  Risk assessment   Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文  OAI收割 IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15 作者:  Zhang, Yu;  Zuo, Xin;  Zheng, Xuxu;  Gao, Xiaoyong;  Wang, Bo   |  收藏  |  浏览/下载：23/0  |  提交时间：2024/02/22 Few-shot learning  Metric-based learning framework  Softmax loss improvement