Zobrazeno 1 - 10
of 1 252
pro vyhledávání: '"Mei HAO"'
Autor:
MEI Hao, SHANG Yong, CHANG Keke, YU Haiyuan, RU Yi, ZHAO Wenyue, ZHAO Haigen, WANG Wenwen, PEI Yanling, LI Shusuo, GONG Shengkai
Publikováno v:
Journal of Aeronautical Materials, Vol 44, Iss 5, Pp 86-104 (2024)
With the global energy transition and increasing environmental requirements，hydrogen-mixed gas turbines as a high-efficiency and low-emission energy conversion equipment has been widely concerned. This paper reviews the development status of hydrog
Externí odkaz:
https://doaj.org/article/306107d3dde54dc9bc2586222ab77052
Autor:
Yang Li Li, Qi Qi Lu, Wen Wen Zheng, Zhao Yu Zhang, Jin Yi Wu, Mei Hao Wei, Xin Zhuo Zhang, Ruo Dan Liu, Zhong Quan Wang, Jing Cui
Publikováno v:
Veterinary Research, Vol 55, Iss 1, Pp 1-19 (2024)
Abstract Long-chain fatty acid transport protein 1 (FATP1) is a member of the fatty acid transporter family. It facilitates transmembrane transport of fatty acids and participates in lipid metabolism. Lipids are essential components of the cell and o
Externí odkaz:
https://doaj.org/article/89239a4455384d849d01802d532d3abd
Autor:
Zhiguo XIAO, Mei HAO
Publikováno v:
Meikuang Anquan, Vol 54, Iss 10, Pp 1-7 (2023)
Coal seam acidification and permeability improving technology is a chemical modification method of coal seam that has emerged in recent years and achieved good results. By injecting one or more acid liquids into the coal seam, dissolving the minerals
Externí odkaz:
https://doaj.org/article/409bb8a66eaa45d496befcbd8ce488fd
Publikováno v:
Meitan kexue jishu, Vol 51, Iss 9, Pp 112-120 (2023)
It is easy to form a coupling effect between ground stress and gas, and cause the accident of coal and gas outburst dominated by ground stress during deep mining. In order to improve the accuracy of mine gas disaster prevention, it is urgent to deepl
Externí odkaz:
https://doaj.org/article/44638a36a53849b793e08eaa812cd60f
Autor:
MEI Hao⁃nan, MA Jiang, SHI Wan⁃ying, LI Hong, ZHANG Jun, TAO Xiao⁃lin, ZHAO Qing⁃qing, LIU Yu, LI Ya⁃yong, HUO Jian⁃xing
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 22, Iss 11, Pp 932-939 (2022)
Objective To evaluate brain plasticity by resting⁃state fMRI (rs⁃fMRI), and to explore the potential neuroendocrine mechanism of repetitive transcranial magnetic stimulation (rTMS) in improving post⁃stroke cognitive impairment (PSCI) in patient
Externí odkaz:
https://doaj.org/article/ee5e3695424845bf8abf03d361fafa5a
Autor:
Qiuping Yang, Leisheng Zhang, Qian Li, Man Gu, Qiu Qu, Xinglong Yang, Qinghua Yi, Kunli Gu, Linli Kuang, Mei Hao, Jing Xu, Hongju Yang
Publikováno v:
BMC Microbiology, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background State-of-the-art renewal has indicated the improvement of diagnostics of patients with metabolic associated fatty liver disease (MAFLD) and/or type II diabetes mellitus (T2DM) by dissecting the clinical characteristics as well as
Externí odkaz:
https://doaj.org/article/3635d223d22e49cfa4df5b1555701250
Autor:
Chen, Zixuan, Liu, Xuandong, Li, Minglin, Hu, Yinfan, Mei, Hao, Xing, Huifeng, Wang, Hao, Shi, Wanxin, Liu, Sen, Xu, Yang
Parameter Server (PS) and Ring-AllReduce (RAR) are two widely utilized synchronization architectures in multi-worker Deep Learning (DL), also referred to as Distributed Deep Learning (DDL). However, PS encounters challenges with the ``incast'' issue,
Externí odkaz:
http://arxiv.org/abs/2407.19721
Autor:
Qing-Zhuo Liu, Mei Hao, Zi-Yang Zhou, Jian-Long Ge, Yi-Chen Wu, Ling-Ling Zhao, Xiang Wu, Yi Feng, Hong Gao, Shun Li, Lei Xue
Publikováno v:
Protein & Cell, Vol 10, Iss 9, Pp 688-693 (2019)
Externí odkaz:
https://doaj.org/article/d91f578672df4751901c203ac61ae67e
Traffic prediction is a crucial topic because of its broad scope of applications in the transportation domain. Recently, various studies have achieved promising results. However, most studies assume the prediction locations have complete or at least
Externí odkaz:
http://arxiv.org/abs/2309.06800
Numerous solutions are proposed for the Traffic Signal Control (TSC) tasks aiming to provide efficient transportation and mitigate congestion waste. In recent, promising results have been attained by Reinforcement Learning (RL) methods through trial
Externí odkaz:
http://arxiv.org/abs/2308.14284