Zobrazeno 1 - 10
of 505
pro vyhledávání: '"Shuai JI"'
Hybrid friction modeling method for robot joints integrating mechanistic model and ensemble learning
Publikováno v:
工程科学学报, Vol 46, Iss 6, Pp 1140-1150 (2024)
Robot integrated joints are extensively employed in the fields of medical and collaborative robots, and their friction characteristics are the crucial factors that affect robot performance. To improve the accuracy of the friction model, a hybrid fric
Externí odkaz:
https://doaj.org/article/baedd050b76f425e8a298774ef439286
Autor:
Xinghong Zhou, Shuai Ji, Liqian Chen, Xiaoyu Liu, Yijian Deng, Yanting You, Ming Wang, Qiuxing He, Baizhao Peng, Ying Yang, Xiaohu Chen, Hiu Yee Kwan, Lin Zhou, Jieyu Chen, Xiaoshan Zhao
Publikováno v:
Microbiome, Vol 12, Iss 1, Pp 1-20 (2024)
Abstract Background The prevalence of hyperuricaemia (HUA), a metabolic disorder characterized by elevated levels of uric acid, is on the rise and is frequently associated with renal injury. Gut microbiota and gut-derived uremic toxins are critical m
Externí odkaz:
https://doaj.org/article/51c9334dc06c4fa197eb2882452c9ff7
Autor:
Hui-Wen Yang, Yan Lan, An Li, Han Wu, Zi-Wei Song, Ai-Ling Wan, Yue Wang, Shi-Bao Li, Shuai Ji, Zhong-Cheng Wang, Xin-Yu Wu, Ting Lan
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/36275cca43b946a694075805d5a7b107
Autor:
Yijian Deng, Liying Zeng, Huaxi Liu, Anna Zuo, Jie Zhou, Ying Yang, Yanting You, Xinghong Zhou, Baizhao Peng, Hanqi Lu, Shuai Ji, Ming Wang, Yigui Lai, Hiu Yee Kwan, Xiaomin Sun, Qi Wang, Xiaoshan Zhao
Publikováno v:
Redox Biology, Vol 77, Iss , Pp 103360- (2024)
Acute kidney injury (AKI) is primarily caused by renal ischemia-reperfusion injury (IRI), which is one of the most prevalent triggers. Currently, preventive and therapeutic measures remain limited. Ferroptosis plays a significant role in the pathophy
Externí odkaz:
https://doaj.org/article/78a42f73041745b0ad9edd537d7d37d6
Autor:
Zihao Jiang, Jieyu Chen, Siqi Wu, Shuai Ji, Ying Yang, Wen Fang, Ziwei Li, Jingxin Lin, Jie Chen, Chuanghai Wu, Hiu Yee Kwan, Yigui Lai, Xiaoshan Zhao
Publikováno v:
The Journal of Nutrition, Health and Aging, Vol 28, Iss 9, Pp 100319- (2024)
Background: The relationship between serum uric acid (SUA) levels and brain-related health remains uncertain. Objectives: This study aimed to investigate the relationship between SUA levels and some neurodegenerative disorders and brain structure. De
Externí odkaz:
https://doaj.org/article/086ee7d4dd7e4454a1211a291fc686b2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Asprosin, an adipokine, was recently discovered in 2016. Here, the correlation between asprosin and metabolic-associated fatty liver disease (MAFLD) was examined by quantitatively assessing hepatic steatosis using transient elastography and
Externí odkaz:
https://doaj.org/article/56fd3537e8374810ba91df923683af31
Autor:
Yue Wang, Ying Li, Liang Wang, Buze Chen, Miaolin Zhu, Chunyi Ma, Chunyan Mu, Aibin Tao, Shibao Li, Lan Luo, Ping Ma, Shuai Ji, Ting Lan
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/6c3e4bd35f224880965f65cfb5066c7f
Publikováno v:
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract The tumor microenvironment (TME) constitutes a complex microenvironment comprising a diverse array of immune cells and stromal components. Within this intricate context, tumor-associated macrophages (TAMs) exhibit notable spatial heterogenei
Externí odkaz:
https://doaj.org/article/46421d96d3254d59b417d6d16472da6f
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 3131-3147 (2023)
Due to China’s high demand for foreign crude oil, reducing oil storage energy consumption has become the focus of national attention. In this paper, the mathematical model of the heating process of a single-disk floating roof tank is established. T
Externí odkaz:
https://doaj.org/article/2d2c16fead804ac0970d7fccfb26d8a8
Publikováno v:
Materials, Vol 17, Iss 18, p 4441 (2024)
Vision-based laser penetration control has become an important research area in the field of welding quality control. Due to the complexity and large number of parameters in the monitoring model, control of the welding process based on deep learning
Externí odkaz:
https://doaj.org/article/e4187486a85d4dd2949a1c96be275b96