Zobrazeno 1 - 10
of 63
pro vyhledávání: '"YIXIN WEN"'
Autor:
Zhuoru Jin, Wei Pang, Yan Zhao, Hui Min, Shijie Yao, Zhifang Bian, Yixin Wen, Chuanyang Peng, Yaming Cao, Li Zheng
Publikováno v:
International Journal for Parasitology: Drugs and Drug Resistance, Vol 25, Iss , Pp 100539- (2024)
Infection with Plasmodium falciparum is often deadly when it results in cerebral malaria, which is associated with neuropathology described as an overwhelming inflammatory response and mechanical obstruction of cerebral microvascular. PI3Kγ is a cri
Externí odkaz:
https://doaj.org/article/0f7ec9bd8b7949fa84774949969d4223
Publikováno v:
Atmosphere, Vol 15, Iss 6, p 627 (2024)
The change in extreme precipitation events in the conterminous United States (CONUS) has been of interest to the research communities in recent years for its intensification under environmental and climate change. Previous studies have not yet used s
Externí odkaz:
https://doaj.org/article/7561a95674c843b6b4005eb5d77e2809
Autor:
Zhi Li, Shang Gao, Mengye Chen, Jiaqi Zhang, Jonathan J. Gourley, Yixin Wen, Tiantian Yang, Yang Hong
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 23, Pp n/a-n/a (2023)
Abstract Flash flooding is a damaging weather event, yet it remains challenging to quantify its severity. We propose a development—the Flashiness‐Intensity‐Duration‐Frequency (F‐IDF) curve—to quantify flash flood intensity based on the fr
Externí odkaz:
https://doaj.org/article/d9ebede875d84e75bc344546f9ae6c4c
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The infrapatellar fat pad (IPFP) is one of the structures surrounding the knee joint that obscures exposure in minimally arthroscopy anterior cruciate ligament reconstruction (ACLR). Most surgeons excise the partial fat pad for better exposu
Externí odkaz:
https://doaj.org/article/3f2738d00ff049a6a82492884c84de01
Autor:
Zhi Li, Xianwu Xue, Robert Clark, Humberto Vergara, Jonathan Gourley, Guoqiang Tang, Xinyi Shen, Guangyuan Kan, Ke Zhang, Jiahu Wang, Mengye Chen, Shang Gao, Jiaqi Zhang, Tiantian Yang, Yixin Wen, Pierre Kirstetter, Yang Hong
Publikováno v:
Journal of Hydrology X, Vol 20, Iss , Pp 100159- (2023)
Hydrologic models are a powerful tool to predict water-related natural hazards. Of all hydrologic models, CREST (Coupled Routing and Excess STorage) was developed to facilitate hydrologic sciences and applications across various spatial and temporal
Externí odkaz:
https://doaj.org/article/5d6b0283c19b4c62bc9b37840d5948ca
Publikováno v:
Earth and Space Science, Vol 10, Iss 6, Pp n/a-n/a (2023)
Abstract Accurate estimation of near‐surface air temperature (TsurfAir) at fine spatiotemporal resolution is crucial for environmental applications, data assimilation into land surface models, and climate change studies. The Atmospheric Infrared So
Externí odkaz:
https://doaj.org/article/607f42e608d249729abe902f4f14c58e
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
ObjectiveThe role of spousal support has been recognized to benefit patients with many chronic diseases and cancers. However, the impact of marital status on the survival of middle-aged and elderly patients with primary bone tumors remains elusive.Ma
Externí odkaz:
https://doaj.org/article/986f60185ccc4617acbb6f3589cdde11
Autor:
Mengye Chen, Yongjie Huang, Zhi Li, Albert Johan Mamani Larico, Ming Xue, Yang Hong, Xiao-Ming Hu, Hector Mayol Novoa, Elinor Martin, Renee McPherson, Jiaqi Zhang, Shang Gao, Yixin Wen, Andres Vitaliano Perez, Isaac Yanqui Morales
Publikováno v:
Atmosphere, Vol 13, Iss 10, p 1666 (2022)
Precipitation estimate is important for earth science studies and applications, and it is one of the most difficult meteorological quantities to estimate accurately. For regions such as Peru, reliable gridded precipitation products are lacking due to
Externí odkaz:
https://doaj.org/article/c761093fbc3a4083a0aea63d92bb5285
Publikováno v:
Earth and Space Science, Vol 8, Iss 2, Pp n/a-n/a (2021)
Abstract Satellite‐based precipitation retrieval is an essential and long‐standing scientific problem. With an increase of observational satellite data, the advances of data‐driven approaches such as machine learning (ML)/deep learning (DL) are
Externí odkaz:
https://doaj.org/article/dbd9f79d4cd3495aa6b58a89efad90c1
Autor:
Zhi Li, Mengye Chen, Shang Gao, Zhen Hong, Guoqiang Tang, Yixin Wen, Jonathan J. Gourley, Yang Hong
Publikováno v:
Remote Sensing, Vol 12, Iss 8, p 1258 (2020)
Quantifying uncertainties of precipitation estimation, especially in extreme events, could benefit early warning of water-related hazards like flash floods and landslides. Rain gauges, weather radars, and satellites are three mainstream data sources
Externí odkaz:
https://doaj.org/article/bffeba5adb414db1a44adefb4520e546