Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shaoshen Wang"'
The influence of the five-factor model of personality on performance in competitive sports: a review
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
Personality is considered to be a factor affecting athletic performance. However, inconsistency in the research results regarding size and even direction of the relationship. An evaluation of the evidence of the relationship between personality and a
Externí odkaz:
https://doaj.org/article/a27960d155af4601a6af439525d4157c
Autor:
Jieli Bao, Chengmeng Zhang, Junhong Chen, Haochen Xuan, Chaofan Wang, Shaoshen Wang, Jie Yin, Yang Liu, Dongye Li, Tongda Xu
Publikováno v:
Experimental Cell Research. 427:113572
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::febf6f1d48d5d900d33f4cca290c78d0
https://doi.org/10.1016/j.yexcr.2023.113572
https://doi.org/10.1016/j.yexcr.2023.113572
Unsupervised anomaly detection (AD) is a challenging task in realistic applications. Recently, there is an increasing trend to detect anomalies with deep neural networks (DNN). However, most popular deep AD detectors cannot protect the network from l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f823c8884a31fa74a6f18ef6274a28b1
https://hdl.handle.net/10453/163672
https://hdl.handle.net/10453/163672
Publikováno v:
Microcirculation (New York, N.y. : 1994)
Recently, accumulating evidence has highlighted the role of endothelial dysfunction in COVID‐19 progression. Coronary microvascular dysfunction (CMD) plays a pivotal role in cardiovascular disease (CVD) and CVD‐related risk factors (eg, age, gend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f70fc7e73dd8cf79ca5ab9953ed3e3d
https://pubmed.ncbi.nlm.nih.gov/34013612
https://pubmed.ncbi.nlm.nih.gov/34013612
Publikováno v:
Web and Big Data ISBN: 9783030858957
APWeb/WAIM (1)
APWeb/WAIM (1)
Multi-view anomaly detection (Multi-view AD) is a challenging problem due to the inconsistent behaviors across multiple views. Meanwhile, learning useful representations with little or no supervision has attracted much attention in machine learning.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a58b3ae52c6cc08d0dec3f683646fba3
https://hdl.handle.net/10453/157608
https://hdl.handle.net/10453/157608
Autor:
Yin, Jie1 (AUTHOR), Wang, Shaoshen2 (AUTHOR), Liu, Yang1 (AUTHOR), Chen, Junhong2 (AUTHOR), Li, Dongye1 (AUTHOR) dongyeli@xzhmu.edu.cn, Xu, Tongda2 (AUTHOR) xutongda3004@163.com
Publikováno v:
Microcirculation. Oct2021, Vol. 28 Issue 7, p1-11. 11p.
Publikováno v:
Psychology & Psychiatry Journal; 1/5/2024, p401-401, 1p
Publikováno v:
Pain & Central Nervous System Week; 10/6/2023, p1502-1502, 1p
Publikováno v:
Cardiovascular Week; 9/11/2023, p563-563, 1p