Zobrazeno 1 - 10
of 1 299
pro vyhledávání: '"Yangang Wang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study aimed to evaluate the association between low-density lipoprotein cholesterol (LDL-C) and serum uric acid to serum creatinine (SUA/SCr) ratio in male gout patients at different BMIs. This real-world study included 956 male gout pa
Externí odkaz:
https://doaj.org/article/faa9386b906f4d3d93f8508fe7b5369e
Autor:
Yixuan Li, Yahao Wang, Lili Xu, Chuanfeng Liu, Jiufa Cui, Yajing Huang, Shufa Li, Yangang Wang, Bingzi Dong
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
BackgroundGouty arthritis is a common inflammatory arthritis. The recurrent gout attacks severely damage the joint’s function, lead to bone erosion, and affect bone metabolism. The role of magnesium (Mg) ions in bone homeostasis has been recognized
Externí odkaz:
https://doaj.org/article/39cd15dac1ec4a049c431bed4d2bf275
Autor:
Lixin Shi, Yaoming Xue, Xuefeng Yu, Yangang Wang, Tianpei Hong, Xiaoying Li, Jianhua Ma, Dalong Zhu, Yiming Mu
Publikováno v:
JMIR Public Health and Surveillance, Vol 10, p e54429 (2024)
BackgroundChronic kidney disease (CKD) is a significant long-term complication of diabetes and is a primary contributor to end-stage kidney disease. ObjectiveThis study aimed to report comprehensive nationwide data on the prevalence, screening, and
Externí odkaz:
https://doaj.org/article/2f1c7a41d100454587af42306d6a06f9
Autor:
Fang Zhang, Bingzi Dong, Libo Yang, Jiaxin Liu, Jinfeng Zhan, Yukun Cui, Hua Lin, Yangang Wang, Wenshan Lv
Publikováno v:
Frontiers in Pediatrics, Vol 12 (2024)
Takayasu's arteritis is a primary systemic vasculitis that affects predominantly large vessels, affecting the aorta and its major branches. We report a case of adolescent female patient who initially experienced numbness and weakness in her limbs, su
Externí odkaz:
https://doaj.org/article/8b60ab1389a649babfef5920737989ce
Publikováno v:
Advanced Science, Vol 11, Iss 29, Pp n/a-n/a (2024)
Abstract Hydrogen (H2) has emerged as a clean and versatile energy carrier to power a carbon‐neutral economy for the post‐fossil era. Hydrogen generation from low‐cost and renewable biomass by virtually inexhaustible solar energy presents an in
Externí odkaz:
https://doaj.org/article/19c205ae9ac34d068461aaf341500d39
Autor:
Xiang Xu, Chengqian Li, Xiaolong Yu, Guoqiang Wang, Yanjun Guo, Huaiwen Ni, Wenjuan Zhao, Yangang Wang, Bingzi Dong
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
BackgroundLymph node metastasis is the major cause of increased recurrence and death in patients with papillary thyroid carcinoma (PTC). We evaluate the clinicopathologic factors affecting excellent response (ER) in patients with PTC with lymph node
Externí odkaz:
https://doaj.org/article/1a2a85ea85184a9c8a4084ab2f382277
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 4, Pp 1491-1501 (2024)
Photovoltaic (PV) power forecasting is essential for secure operation of a power system. Effective prediction of PV power can improve new energy consumption capacity, help power system planning, promote development of smart grids, and ultimately supp
Externí odkaz:
https://doaj.org/article/b68b8d403e3047888729b1c79ecfcf16
Autor:
Yiwen Zhang, Liwei Wu, Zepeng Mu, Linlin Ren, Ying Chen, Hanyun Liu, Lili Xu, Yangang Wang, Yaxing Wang, Susan Cheng, Yih Chung Tham, Bin Sheng, Tien Yin Wong, Hongwei Ji
Publikováno v:
Clinical and Molecular Hepatology, Vol 30, Iss 1, Pp 113-117 (2024)
Externí odkaz:
https://doaj.org/article/447c22fb7543402288042c9b48e39db1
Publikováno v:
Journal of Safety Science and Resilience, Vol 4, Iss 4, Pp 329-339 (2023)
Artificial intelligence generated content (AIGC) is a production method based on artificial intelligence (AI) technology that finds rules through data and automatically generates content. In contrast to computational intelligence, generative AI, as e
Externí odkaz:
https://doaj.org/article/4e278d7421e14c288702c496921b7110
Autor:
Shuaiying Hou, Congyi Wang, Wenlin Zhuang, Yu Chen, Yangang Wang, Hujun Bao, Jinxiang Chai, Weiwei Xu
Publikováno v:
Computational Visual Media, Vol 10, Iss 1, Pp 45-59 (2023)
Abstract Inspired by the success of WaveNet in multi-subject speech synthesis, we propose a novel neural network based on causal convolutions for multi-subject motion modeling and generation. The network can capture the intrinsic characteristics of t
Externí odkaz:
https://doaj.org/article/3bd893f996924e05af59539a2860b8f2