Zobrazeno 1 - 10
of 281
pro vyhledávání: '"Wenmin Wang"'
Autor:
Yan Yang, Xianzhi Li, Shigong Wang, Yingchao Lei, Wenhao Xu, Yongjun Li, Lei Yang, Jinli Miao, Wenmin Wang, Li Yin
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Temperature fluctuations can impact the occurrence and progression of respiratory system diseases. However, the current understanding of the impact of temperature on acute exacerbation of chronic obstructive pulmonary disease (AEC
Externí odkaz:
https://doaj.org/article/d9186a4f46694b419fc6ffdecaa95d97
Autor:
Yifei Wang, Yanyang Ye, Lusha Xuan, Lijie Xu, Pengpeng Wang, Jun Ma, Yuyan Wang, Yanjun Chen, Jinli Miao, Wenmin Wang, Lingjie Zhou
Publikováno v:
Nutrition & Metabolism, Vol 21, Iss 1, Pp 1-10 (2024)
Abstract Background Conflicting findings regarding the impact of High protein intake during the early phase in critically ill patients have been reported. Therefore, we aimed to assess the influence of higher early protein intake on the prognosis of
Externí odkaz:
https://doaj.org/article/c4339b96b8fc4d6dab4af3796fb5c782
Autor:
Xiangjun Chen, Ying Zhang, Zhongkai Cao, Yue Wang, Mengqiu Liao, Yuelin Guan, Caifeng Zhu, Wenmin Wang, Wunan Huang, Wei Li, Yingping Xiao, Yayu Li, Jiazhen Yin, Yuhan Ding, Qinghua Peng, Lidan Hu
Publikováno v:
Pharmacological Research, Vol 208, Iss , Pp 107392- (2024)
Aims: Diabetic nephropathy (DN) is a major complication of diabetes mellitus (DM) without curative interventions currently. Huperzine A (Hup A), a natural alkaloid, has demonstrated significant hypoglycemic and anti-inflammatory effects. We aim to in
Externí odkaz:
https://doaj.org/article/a60d72a141014e32994d3e9434343753
Publikováno v:
Artificial Intelligence Chemistry, Vol 2, Iss 1, Pp 100031- (2024)
Geometric information of molecules is closely related to their properties, and vibrational spectroscopy, as a common and powerful analytical tool for determining molecular structure, can assist in gaining precise geometric information. Traditional me
Externí odkaz:
https://doaj.org/article/713e0dc31d8d4f1aabf0af7552b7bc4a
Autor:
Lidan Hu, Wenmin Wang, Xiangjun Chen, Guannan Bai, Liangjian Ma, Xin Yang, Qiang Shu, Xuekun Li
Publikováno v:
Brain-X, Vol 2, Iss 1, Pp n/a-n/a (2024)
Abstract Neurodegenerative diseases (NDs) stand for a group of disorders characterized by the progressive loss of neurons in the brain and peripheral organs, resulting in motor and cognitive dysfunction. The global prevalence of NDs, including Alzhei
Externí odkaz:
https://doaj.org/article/6334da89b45f4658b0a1111de230a42d
Publikováno v:
Biochemistry and Biophysics Reports, Vol 37, Iss , Pp 101647- (2024)
Objectives: Osteoarthritis (OA) is characterized by a high prevalence, poor prognosis, and a propensity to lead to disability. Despite the availability of standard therapies, they are associated with potential side effects and don't provide a complet
Externí odkaz:
https://doaj.org/article/ab0e9ba5880a4526892275508a364ce2
Autor:
Yuxin Tao, Yuancheng Wei, Jiaqi Ge, Yan Pan, Wenmin Wang, Qianqi Bi, Pengfei Sheng, Changzhong Fu, Wuyun Pan, Li Jin, Hong-Xiang Zheng, Menghan Zhang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Studying language evolution brings a crucial perspective to bear on questions of human prehistory. As the most linguistically diverse region on earth, East and Southeast Asia have witnessed extensive sociocultural and ethnic contacts among d
Externí odkaz:
https://doaj.org/article/b48072becd894154a0f04ace50f08b56
Publikováno v:
Symmetry, Vol 16, Iss 6, p 720 (2024)
A soft fault in an analog circuit is a symptom where the parameter range of a component exists symmetrically to the left and right of its nominal value and exceeds a specific range. The proposed method uses the Grey Wolf Optimization (GWO) optimized
Externí odkaz:
https://doaj.org/article/24b1ee42722b47698c55a07bcd2c838b
Autor:
Xinhe Liu, Wenmin Wang
Publikováno v:
Mathematics, Vol 12, Iss 10, p 1504 (2024)
Deep learning, a crucial technique for achieving artificial intelligence (AI), has been successfully applied in many fields. The gradual application of the latest architectures of deep learning in the field of time series forecasting (TSF), such as T
Externí odkaz:
https://doaj.org/article/a430296f40d94bcc9d60e9e54386e13e
Publikováno v:
Fractal and Fractional, Vol 8, Iss 2, p 91 (2024)
The purpose of this paper is to leverage the advantages of physics-informed neural network (PINN) and convolutional neural network (CNN) by using Legendre multiwavelets (LMWs) as basis functions to approximate partial differential equations (PDEs). W
Externí odkaz:
https://doaj.org/article/268006e8db134f10983db48af78a7e1a