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浏览/检索结果: 共606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 Effects of seawater acidification and warming on morphometrics and biomineralization-related gene expression during embryo-larval development of a lightly-calcified echinoderm 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH, 2024, 卷号: 248, 页码: 8 作者:  Song, Mingshan;  Huo, Da;  Pang, Lei;  Yu, Zhenglin;  Yang, Xiaolong   |  收藏  |  浏览/下载：0/0  |  提交时间：2024/05/07 Less-calcified echinoderm  Apostichopus japonicus  Climate change  Biomineralization  Gene expression  Embryo -larval development   Evapotranspiration partitioning by integrating eddy covariance, micro-lysimeter and unmanned aerial vehicle observations: A case study in the North China Plain 期刊论文  OAI收割 AGRICULTURAL WATER MANAGEMENT, 2024, 卷号: 295, 页码: 19 作者:  Bian, Jiang;  Hu, Xiaolong;  Shi, Liangsheng;  Min, Leilei;  Zhang, Yucui   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/05/20 High-resolution images  Multi-objective optimization  Shuttleworth-Wallace model  Flux footprint   Atomically dispersed Co-Mn dual sites anchored in photoresponsive carbon nitride mediated peroxymonosulfate activation for elimination of petroleum hydrocarbon in water 期刊论文  OAI收割 APPLIED CATALYSIS B-ENVIRONMENT AND ENERGY, 2024, 卷号: 343, 页码: 15 作者:  Guo, Qi;  Yu, Xue-Fang;  Zhang, Kaisheng;  Xia, Linhong;  Liu, Senmiao   |  收藏  |  浏览/下载：23/0  |  提交时间：2024/04/07 Peroxymonosulfate activation  Diatomic catalyst  Carbon nitride  Cobalt  Manganese   Improving the evapotranspiration estimation by considering the effect of flux footprint climatology 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2024, 卷号: 631, 页码: 16 作者:  Bian, Jiang;  Hu, Xiaolong;  Shi, Liangsheng;  Min, Leilei;  Zhang, Yucui   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/19 Flux footprint climatology  Evapotranspiration  Surface conductance  Vegetation indices  UAV   TiO2 nanorod arrays@PDA/Ag with biomimetic polydopamine as binary mediators for duplex SERS detection of illegal food dyes 期刊论文  OAI收割 Analytica Chimica Acta, 2024, 卷号: 1287, 页码: 342047 作者:  Lin Tan;  Yanqiang Cao;  Juanjuan Yan;  Kang Mao;  Li Liu   |  收藏  |  浏览/下载：24/0  |  提交时间：2024/03/25 Effect of peak current on the microstructure, mechanical properties and tribological behavior of MoxN coatings deposited by high power impulse magnetron sputtering 期刊论文  OAI收割 Tribology International, 2023, 期号: 189, 页码: 108955 作者:  Xiaolong Lu;  Xudong Sui;  Jian Kang;  Xiao Zhang;  XingXu Miao   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/10/31 Joint Defocus Deblurring and Superresolution Learning Network for Autonomous Driving 期刊论文  OAI收割 IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 页码: 12 作者:  Wang, Rui;  Zhang, Chunjie;  Zheng, Xiaolong;  Lv, Yisheng;  Zhao, Yao   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/11/16 Task analysis  Image reconstruction  Autonomous vehicles  Superresolution  Cameras  Visualization  Transformers   Factors predictive of the biogeographic distribution of comammox Nitrospira in terrestrial ecosystems 期刊论文  OAI收割 SOIL BIOLOGY & BIOCHEMISTRY, 2023, 卷号: 184, 页码: 9 作者:  Gao, Wenlong;  Fu, Yajun;  Fan, Changhua;  Zhang, Wen;  Wang, Yongsheng   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/10/09 Comammox Nitrospira  Ecological preference  Predictive factors  Incomplete nitrifiers  Population co-variation  Random forest modelling   Absolute and relative POD of LEO satellites in formation flying: Undifferenced and uncombined approach 期刊论文  OAI收割 ADVANCES IN SPACE RESEARCH, 2023, 卷号: 72, 期号: 4, 页码: 1070-1080 作者:  Mi, Xiaolong;  Allahvirdi-Zadeh, Amir;  El-Mowafy, Ahmed;  Huang, Zhiyong;  Wang, Kan   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/13 Low Earth Orbit (LEO)  Precise Orbit Determination (POD)  Formation flying  Global Navigation Satellite System (GNSS)  Integer Amb-iguity Resolution (IAR)  Undifferenced and Uncombined (UDUC)   Boosting deep cross-modal retrieval hashing with adversarially robust training 期刊论文  OAI收割 APPLIED INTELLIGENCE, 2023, 页码: 13 作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji;  Zeng, Daniel Dajun   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/11/17 Cross-modal retrieval  Adversarial training  Deep hashing model  Deep neural network