Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Weijun Gong"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-7 (2024)
Abstract The Xishuangbanna game fowl, a local Chinese chicken breed renowned for its athleticism, is facing extinction. Despite its significance, research on its genome assembly and resequencing remains sparse, limiting our understanding of its genet
Externí odkaz:
https://doaj.org/article/8800f2b7b7d348d7bf7c69023a308c45
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract High incidence, severe consequences, unclear mechanism, and poor treatment effect happened in Parkinson’s disease-related dysphagia. Repetitive transcranial magnetic stimulation is an effective treatment for dysphagia in Parkinson’s dise
Externí odkaz:
https://doaj.org/article/4a820d5fee294c36841133b50631c3da
Autor:
Yujin Xie, Yang Jiao, Lei Shi, Di Liu, Ying Liu, Zhen Tang, Weijun Gong, Hong Yu, Yuanshuo Ma
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Occupational hazards occur in all walks of life. China’s horticulture industry is undergoing rapid development. However, the mental health of garden workers has not received much attention. This study investigates the mental hea
Externí odkaz:
https://doaj.org/article/8d1ec574700c4c5789c633bc3cb92775
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionMScanFit is a model-based algorithm for motor unit number estimation (MUNE) from compound muscle action potential (CMAP) scan data. It is a clinically applicable tool because of its quick and automatic implementation. Electrodes with diff
Externí odkaz:
https://doaj.org/article/3f8b7702d2ee442297968687f6a5bbb0
Autor:
Tiancong Li, Xue Tao, Ruifeng Sun, Conglin Han, Xiaoling Li, Ziman Zhu, Wenshan Li, Peiling Huang, Weijun Gong
Publikováno v:
Brain Research Bulletin, Vol 202, Iss , Pp 110761- (2023)
Aging-related cognitive impairment (ARCI) is rapidly becoming a healthcare priority. However, there is currently no excellent cure for it. Cognitive-exercise dual-task intervention (CEDI) is a promising method to improve ARCI, while the underlying me
Externí odkaz:
https://doaj.org/article/343baa882fcd49cc9353d7755bc98ab2
Publikováno v:
BMC Sports Science, Medicine and Rehabilitation, Vol 15, Iss 1, Pp 1-9 (2023)
Abstract Background After stroke, an abnormal gait pattern gradually leads to knee pain and joint lesions, resulting the gait instability. However, the correlation between the knee hyperextension and gait pattern, the meniscus volume, and the water c
Externí odkaz:
https://doaj.org/article/eb52d7961364432f808e786114c7af76
Publikováno v:
Nutrition Journal, Vol 21, Iss 1, Pp 1-12 (2022)
Abstract Background Consumption of high fructose corn syrup sweetened drinks and diet soft drinks has increased in the United States. However, the relationship between the intake of high fructose corn syrup sweetened drinks and diet soft drinks, and
Externí odkaz:
https://doaj.org/article/d7f69f43a83f4f9db16cfca23f787ca5
Publikováno v:
BMJ Open, Vol 13, Iss 6 (2023)
Objectives To summarise the effects of various types of aerobic exercise on the global cognitive function of the elderly with mild cognitive impairment (MCI).Design A meta-analysis of randomised controlled trials (RCTs).Data sources PubMed, EMBASE an
Externí odkaz:
https://doaj.org/article/de75075f3d534f3699b2b6fb9076f51a
Autor:
Wenshan Li, Youwei Li, Qiang Gao, Jingxin Liu, Qiping Wen, Shiqi Jia, Fen Tang, Linhong Mo, Yuanfang Zhang, Mingchun Zhai, Yukun Chen, Yue Guo, Weijun Gong
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Genu recurvatum in stroke patients with hemiplegia causes readily cumulative damage and degenerative changes in the knee cartilage. It is important to detect early cartilage lesions for appropriate treatment and rehabilitation. The purpose o
Externí odkaz:
https://doaj.org/article/882c9d1953b14123bd0caa261544f060
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 10041-10054 (2022)
The effective use of multimodal data to obtain accurate land cover information has become an interesting and challenging research topic in the field of remote sensing. In this article, we propose a new method, multiscale learning and attention enhanc
Externí odkaz:
https://doaj.org/article/38f159c94b644e9c920f3b73f7f7b137