Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Guocai Chen"'
Autor:
Boqun Wang, Xiangling Ye, Guocai Chen, Yongqiang Zhang, Zhikui Zeng, Cansen Liu, Zhichao Tan, Xiaohua Jie
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
Introduction: Bone defects remain a thorny challenge that clinicians have to face. At present, scaffolds prepared by 3D printing are increasingly used in the field of bone tissue repair. Polylactic acid (PLA) has good thermoplasticity, processability
Externí odkaz:
https://doaj.org/article/890272d7852747009458a5b4bfc6cabf
Autor:
Qingbin Li, Zhaohua Zhang, Guocai Chen, Yongbo Hu, Rongjun Mao, Le Xie, Shaoluan Chen, Yongqiang Lao, Junqing Gao
Publikováno v:
Frontiers in Surgery, Vol 9 (2023)
Giant cell angioblastoma is a relatively rare vasogenic tumour. To date, studies on its clinical manifestations, imaging characteristics, pathological features, and prognosis are extremely limited and unknown, with only a few cases recorded. In this
Externí odkaz:
https://doaj.org/article/d73a2148e8b54901ace65a40c7489d9c
Autor:
Tao Zhang, Jiajun Hu, Erkan Oterkus, Selda Oterkus, Xueliang Wang, Zhentao Jiang, Guocai Chen
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8196 (2023)
This paper proposes an approach that utilizes Artificial-Intelligence-Generated Content (AIGC) to overcome the constraints of Structural Health Monitoring (SHM) devices in capturing global stress with limited sensors. Feature elements are selected ba
Externí odkaz:
https://doaj.org/article/b607aa239891446a8f44aa17f07f32f5
Autor:
Zugui Wu, Yi Wang, Zixuan Ye, Yingxing Guan, Xiangling Ye, Zehua Chen, Congcong Li, Guoqian Chen, Yue Zhu, Jianping Du, Guocai Chen, Wengang Liu, Xuemeng Xu
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Background: The influences of age and sex on properties of lumbar erector spinae have not been previously studied. Changes in the performance of lumbar erector spinae properties associated with age represent a valuable indicator of risk for lower-bac
Externí odkaz:
https://doaj.org/article/f797d18a6857489fb6d2a062f8670f42
Autor:
Zugui Wu, Yi Wang, Xiangling Ye, Zehua Chen, Rui Zhou, Zixuan Ye, Jinyou Huang, Yue Zhu, Guocai Chen, Xuemeng Xu
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Background: Chronic low back pain (CLBP) is one of the most common musculoskeletal diseases in the elderly, which has a severe impact on the health of the elderly. However, CLBP treatment is very challenging, and more effective treatment methods are
Externí odkaz:
https://doaj.org/article/5ab8c705bf1b49ba905b28ec812c6be9
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss S1, Pp 1-9 (2019)
Abstract Background Disease comorbidity is very common and has significant impact on disease treatment. Revealing the associations among diseases may help to understand the mechanisms of diseases, improve the prevention and treatment of diseases, and
Externí odkaz:
https://doaj.org/article/4eb02b36eb00487dbaf0208cf07281fa
Publikováno v:
Frontiers in Medicine, Vol 7 (2020)
Purpose: Rheumatoid arthritis (RA) is a pervasive inflammatory autoimmune disease that seriously impairs human health and requires more effective non-pharmacologic treatment approaches. This study aims to systematically review and evaluate the effica
Externí odkaz:
https://doaj.org/article/b56038a15b2a44269fe28cee1134ab5a
Autor:
Guoqian Chen, Jiatao Wu, Guocai Chen, Yanyan Lu, Wei Ren, Wu Xu, Xuemeng Xu, Zugui Wu, Yingxin Guan, Yi Zheng, Bofan Qiu
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0220521 (2019)
The reliability of MyotonPRO that can monitor the mechanical properties of tissues is still unclear. This study aimed to analyze the within-day inter-operator and between-day intra-operator reliability of MyotonPRO for assessing tone and stiffness of
Externí odkaz:
https://doaj.org/article/42f56b70f269416cbd4bc67ef7c428ac
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 6, p e1003666 (2014)
Gene regulatory networks are a crucial aspect of systems biology in describing molecular mechanisms of the cell. Various computational models rely on random gene selection to infer such networks from microarray data. While incorporation of prior know
Externí odkaz:
https://doaj.org/article/5f6a892225804071b440f20f35eb700b
Autor:
Boqun Wang, Xiangling Ye, Guocai Chen, Yongqiang Zhang, Zhikui Zeng, Cansen Liu, Zhichao Tan, Xiaohua Jie
Publikováno v:
Frontiers in Bioengineering & Biotechnology; 2024, p1-13, 13p