Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Ruiqin WANG"'
Autor:
Panjing Guo, Xiajing Zhang, Haoran Xu, Ruiqin Wang, Yumin Li, Chengshuo Xu, Yu Yang, Linlin Zhang, Roger Adams, Jia Han, Jie Lyu
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
ObjectiveThis study aims to investigate the plantar biomechanics of healthy young males as they descend a single transition step from varying heights.MethodsThirty healthy young males participated the experiment using the F-scan insole plantar pressu
Externí odkaz:
https://doaj.org/article/495ea65b0e2d4312a8fb2a0fc7a81edf
Publikováno v:
Dianxin kexue, Vol 40, Pp 106-114 (2024)
An attention aware edge-node exchange graph neural network (AENN) model was proposed, which used edge-node switched convolutional graph neural network method for graph encoding in a graph structured data representation framework for semi supervised c
Externí odkaz:
https://doaj.org/article/d34fee5062274a0b8f9051e6d66e1817
Publikováno v:
Dianxin kexue, Vol 39, Pp 105-113 (2023)
Progressive growing of generative adversarial networks (PGGAN) is an adversarial network model that can generate high-resolution images.However, when the categories of samples are unbalanced, or the categories of samples are too similar or too dissim
Externí odkaz:
https://doaj.org/article/b2ba8e9114624f01896b3b918f89096a
Publikováno v:
Dianxin kexue, Vol 38, Pp 89-97 (2022)
Traditional attention-based recommendation algorithms only use position embeddings to model user behavior sequences, however, ignore specific timestamp information, resulting in poor recommendation performance and overfitting of model training.The mu
Externí odkaz:
https://doaj.org/article/9dd0c91711144f99b6d622253d548a4d
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Objective: The plantar pressure analysis technique was used to explore the static balance ability and stability of healthy adult males under the influence of visual and step height factors during bipedal and unipedal stances.Methods: Thirty healthy a
Externí odkaz:
https://doaj.org/article/81420bbe170046c197db7eafe1520f61
Publikováno v:
Dianxin kexue, Vol 38, Pp 95-104 (2022)
Usually the edges of the graph contain important information of the graph.However, most of deep learning models for graph learning, such as graph convolutional network (GCN) and graph attention network (GAT), do not fully utilize the characteristics
Externí odkaz:
https://doaj.org/article/7151b30aaa904c64b68374f19066cc23
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 12 (2023)
SARS-CoV-2 causes a spectrum of clinical symptoms from respiratory damage to gastrointestinal disorders. Intestinal infection of SARS-CoV-2 triggers immune response. However, the cellular mechanism that how SARS-CoV-2 initiates and induces intestinal
Externí odkaz:
https://doaj.org/article/e7421c501aa944b69bc16b0eded5a759
Publikováno v:
Dianxin kexue, Vol 31, Pp 68-74 (2015)
As an effective recommendation method，collaborative filtering typically has the data sparsity and cold-start problems. It was proposed that using multiple data sources of social network to overcome the above problems. First of a11，both the rating
Externí odkaz:
https://doaj.org/article/30a1427f95ef49e0944e8c9845870558
Publikováno v:
Advances in High Energy Physics, Vol 2016 (2016)
We investigate the production of Xb in the process Υ(5S,6S)→γXb, where Xb is assumed to be the counterpart of X(3872) in the bottomonium sector as BB¯⁎ molecular state. We use the effective Lagrangian based on the heavy quark symmetry to explo
Externí odkaz:
https://doaj.org/article/f1973eadd56e47d5adcf575f5ebf22e3
Autor:
Yu Kang, Rui Deng, Can Wang, Tao Deng, Peichao Peng, Xiaoxing Cheng, Guoqing Wang, Minping Qian, Huafang Gao, Bei Han, Yusheng Chen, Yinghui Hu, Rong Geng, Chengping Hu, Wei Zhang, Jingping Yang, Huanying Wan, Qin Yu, Liping Wei, Jiashu Li, Guizhen Tian, Qiuyue Wang, Ke Hu, Siqin Wang, Ruiqin Wang, Juan Du, Bei He, Jianjun Ma, Xiaoning Zhong, Lan Mu, Shaoxi Cai, Xiangdong Zhu, Wanli Xing, Jun Yu, Minghua Deng, Zhancheng Gao
Publikováno v:
PLoS ONE, Vol 7, Iss 6, p e38743 (2012)
Etiologic diagnoses of lower respiratory tract infections (LRTI) have been relying primarily on bacterial cultures that often fail to return useful results in time. Although DNA-based assays are more sensitive than bacterial cultures in detecting pat
Externí odkaz:
https://doaj.org/article/d481c41cd7564ce197decb9a23323a92