Zobrazeno 1 - 10
of 271
pro vyhledávání: '"ChangJiang Wang"'
Autor:
Xiangfeng Meng, Yue Zhou, Lei Xu, Limu Hu, Changjiang Wang, Xiao Tian, Xiang Zhang, Yi Hao, Bo Cheng, Jing Ma, Lei Wang, Jialin Liu, Ran Xie
Publikováno v:
ACS Central Science, Vol 10, Iss 5, Pp 1065-1083 (2024)
Externí odkaz:
https://doaj.org/article/50d39684749e416da0068c356c40c393
Autor:
Xinrong Zou, Changjiang Wang, Lan Wang, Shenghua Huang, Danfang Deng, Lamei Lin, Xiaoqin Wang
Publikováno v:
Renal Failure, Vol 46, Iss 2 (2024)
Objective This study aimed to investigate the effect of the soluble Klotho (sKlotho)/Wnt/β-catenin signaling pathway on vascular calcification in rat models of chronic kidney disease (CKD) and the intervention effect of Shenyuan granules.Methods Rat
Externí odkaz:
https://doaj.org/article/54aaf862607c48ab8199d655378ffee0
Autor:
Miao Sun, Changjiang Wang, Huaye Luo, Yanfei Chen, Guanggang Qu, Jian Chen, Ling Li, Min Zhang, Qinghong Xue
Publikováno v:
Microbial Cell Factories, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Peste des petits ruminants (PPR) is an acute, contact infectious disease caused by the small ruminant morbillivirus (SRMV), and its morbidity in goats and sheep can be up to 100% with significant mortality. Nanobody generated from camelid an
Externí odkaz:
https://doaj.org/article/b87ed1a190814972a8018025688d2133
Autor:
Xiao Tian, Lingna Zheng, Changjiang Wang, Yida Han, Yujie Li, Tongxiao Cui, Jialin Liu, Chuanming Liu, Guogeng Jia, Lujie Yang, Yi Hsu, Chen Zeng, Lijun Ding, Chu Wang, Bo Cheng, Meng Wang, Ran Xie
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract Metabolic oligosaccharide engineering (MOE) is a classical chemical approach to perturb, profile and perceive glycans in physiological systems, but probes upon bioorthogonal reaction require accessibility and the background signal readout ma
Externí odkaz:
https://doaj.org/article/45f98550260f4bd58109d674fc895759
Publikováno v:
Energies, Vol 17, Iss 19, p 5001 (2024)
Accurate monitoring of lithium-ion battery temperature is essential to ensure these batteries’ efficient and safe operation. This paper proposes a relevance-based reconstruction-oriented EMD-Informer machine learning model, which combines empirical
Externí odkaz:
https://doaj.org/article/8e11f7d77a3645aa9deefd305fc82bdc
Autor:
Yihong Zhong, Lijia Xu, Chen Yang, Le Xu, Guyu Wang, Yuna Guo, Songtao Cheng, Xiao Tian, Changjiang Wang, Ran Xie, Xiaojian Wang, Lin Ding, Huangxian Ju
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-17 (2023)
Abstract The construction of polymer-based mimicry on cell surface to manipulate cell behaviors and functions offers promising prospects in the field of biotechnology and cell therapy. However, precise control of polymer grafting sites is essential t
Externí odkaz:
https://doaj.org/article/fe31b7c4311d4eb8916ca9bd5a81ccdb
Autor:
Haitao Wang, Zedong Yang, Ning Wang, Haiyang Jiang, Yu Cui, Jinchi Han, Shuguang Li, Changjiang Wang
Publikováno v:
Energy Conversion and Economics, Vol 4, Iss 3, Pp 171-178 (2023)
Abstract Prolonged exposure of power transmission lines to extreme ice disasters in the atmosphere disrupts transmission. First, this study establishes a comprehensive failure probability model for the impact of extreme ice disasters on the transmiss
Externí odkaz:
https://doaj.org/article/2494e38cfd2d4735a4dd8afbd641a47b
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 428 (2024)
To further improve the performance of the Proton Exchange Membrane Fuel Cell (PEMFC), in this paper, we designed a blocked flow channel with trapezoidal baffles, and geometric parameters of the baffle were optimized based on CFD simulation, Artificia
Externí odkaz:
https://doaj.org/article/2bfc478f4d274e0fae8895e1b796420a
Autor:
Dongdong He, Yuan Guo, Xushu Zhang, Changjiang Wang, Zihui Zhao, Weiyi Chen, Kai Zhang, Binping Ji
Publikováno v:
Medicine in Novel Technology and Devices, Vol 17, Iss , Pp 100206- (2023)
The morphological quantification of the proximal tibia of the knee joint is important in knee replacement. Accurate knowledge of these parameters provides the basis for design of the tibial prosthesis and its fixation. Ideally, a prosthesis that is s
Externí odkaz:
https://doaj.org/article/524a91e74eb94e08826673b29710e515
Publikováno v:
IET Energy Systems Integration, Vol 3, Iss 3, Pp 250-262 (2021)
Abstract Weak inertia characteristics of power systems with high penetrations of renewables have become a prominent problem for frequency security. To solve this problem, a convolutional neural network (CNN)‐based deep learning approach is applied
Externí odkaz:
https://doaj.org/article/17a0662da2734863a645e6c850d318e1