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Akademický článek

Small needle-knife versus extracorporeal shock wave therapy for the treatment of plantar fasciitis: A systematic review and meta-analysis

Autor: Chaoqun Feng, Junjie Yao, Yizhou Xie, Min Zhao, Youpeng Hu, Ziang Hu, Ruoyan Li, Haoyang Wu, Yuanxin Ge, Fei Yang, Xiaohong Fan

Publikováno v: Heliyon, Vol 10, Iss 1, Pp e24229- (2024)

Background: Plantar fasciitis (PF) is the most common cause of chronic heel pain among adults. Extracorporeal shock wave therapy (ESWT) is the recommended in the current guidelines, and the small needle-knife yields acceptable clinical effects for mu

Externí odkaz: https://doaj.org/article/ea437413346c42988fab271324cf1cd2

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Akademický článek

Epidemiological features of traumatic spinal cord injury in China: A systematic review and meta-analysis

Autor: Youpeng Hu, Lianxin Li, Binxue Hong, Yizhou Xie, Tong Li, Chaoqun Feng, Fei Yang, Yehui Wang, Jie Zhang, Yang Yu, Xiaohong Fan

Publikováno v: Frontiers in Neurology, Vol 14 (2023)

BackgroundTraumatic spinal cord injury (TSCI) is a highly fatal and disabling event, and its incidence rate is increasing in China. Therefore, we collated the epidemiological factors of TSCI in different regions of China to update the earlier systema

Externí odkaz: https://doaj.org/article/33269bc84e7c4b959b108eb7c14085d5

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Akademický článek

A Simple Graph Convolutional Network With Abundant Interaction for Collaborative Filtering

Autor: Ronghui Guo, Xunkai Li, Youpeng Hu, Yixuan Wu, Xin Xiong, Meixia Qu

Publikováno v: IEEE Access, Vol 9, Pp 77407-77415 (2021)

Recently, recommender systems based on Graph Convolution Network (GCN) have become a research hotspot, especially in collaborative filtering. However, most GCN-based models have inferior embedding propagation mechanism, leading to low information ext

Externí odkaz: https://doaj.org/article/93654cbef37a493e8efd4d1108d02479

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Akademický článek

A Deep Graph Structured Clustering Network

Autor: Xunkai Li, Youpeng Hu, Yaoqi Sun, Ji Hu, Jiyong Zhang, Meixia Qu

Publikováno v: IEEE Access, Vol 8, Pp 161727-161738 (2020)

Graph clustering is a fundamental task in data analysis and has attracted considerable attention in recommendation systems, mapping knowledge domain, and biological science. Because graph convolution is very effective in combining the feature informa

Externí odkaz: https://doaj.org/article/80709615459f42f7b98c8760cdd85f31

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