Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Weijun C"'
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Grazing livestock emits methane through rumen intestinal activity, however, its impact on plant growth in grassland while grazing still has not been explored in detail. Therefore, the study examined the effects of methane pulse sp
Externí odkaz:
https://doaj.org/article/d8180557a30f4e01b18baf1c0a682fd3
Autor:
Weijun Chen, Yitao Gu, Yongjun Ma, Lele Dong, Liangxuan Pan, Chai Ji, Lanlan Guo, Lianxin Qi, Yuanyuan Zhang, Fei Gao
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Influenza A virus subtype H1N1 can cause severe acute respiratory distress syndrome and death in young children and elderly individuals. H1N1 initiates inflammatory responses that aim to contain and eliminate microbial invaders. Various lipi
Externí odkaz:
https://doaj.org/article/6e7fb446201b49b8a8ebc0e2b3bb9476
Publikováno v:
Cell Division, Vol 19, Iss 1, Pp 1-8 (2024)
Abstract The silencing regulatory factor 2-like protein 3 (SIRT3) is a nicotinamide adenine dinucleotide (NAD+) dependent deacetylase located primarily in the mitochondria. This protein plays an important role in oxidative stress, energy metabolism,
Externí odkaz:
https://doaj.org/article/66d23cd1b2574c29a0706a8e354fd423
Publikováno v:
Journal of Electromagnetic Engineering and Science, Vol 24, Iss 3, Pp 215-225 (2024)
Inverse synthetic aperture radar (ISAR) image registration enables the analysis of target dynamics by comparing registered images from different viewpoints. However, it faces significant challenges due to various factors, such as the complex scatteri
Externí odkaz:
https://doaj.org/article/86a727953abe441d8e4e8ab594b23d5a
Publikováno v:
Aquaculture Reports, Vol 38, Iss , Pp 102316- (2024)
This research aimed to determine the effect of dietary guar gum inclusion in high-lipid diets on the liver health of common carp (Cyprinus carpio). Four high-fat diets (10 % crude lipid) containing 0 % (HF), 0.3 % (HFG0.3), 1 % (HFG1), and 3 % (HFG3)
Externí odkaz:
https://doaj.org/article/f62e761c9dd4434dab3781676fb0cf1a
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 177, Iss , Pp 116942- (2024)
Metabolic dysfunction-associated steatotic liver disease (MASLD) has a multifactorial and complex pathogenesis. Notably, the disorder of Bile acid (BA) metabolism and lipid metabolism-induced lipotoxicity are the main risk factors of MASLD. Lupeol, t
Externí odkaz:
https://doaj.org/article/de8fa93af4d240449683e09e73190e69
Autor:
Ruiqi Liu, Yanwei Lu, Jing Li, Weiping Yao, Jiajun Wu, Xiaoyan Chen, Luanluan Huang, Ding Nan, Yitian Zhang, Weijun Chen, Ying Wang, Yongshi Jia, Jianming Tang, Xiaodong Liang, Haibo Zhang
Publikováno v:
Cell Death and Disease, Vol 15, Iss 4, Pp 1-14 (2024)
Abstract Annexin A2 (ANXA2) is a widely reported oncogene. However, the mechanism of ANXA2 in esophageal cancer is not fully understood. In this study, we provided evidence that ANXA2 promotes the progression of esophageal squamous cell carcinoma (ES
Externí odkaz:
https://doaj.org/article/9055ed7ea07e49839355d3bf6029374b
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 3, Pp 346-353 (2024)
China's food industry has witnessed rapid and accelerated development in recent years, which poses higher demands on the quality of food talents. Drawing on Xi Jinping's Thought on Socialism with Chinese Characteristics for a New Era, this paper argu
Externí odkaz:
https://doaj.org/article/0b976dfd9ac64fff853f97f9b7c464c1
Autor:
Weijun Cai, Rong Xiang
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
IntroductionIn sports competitions, judge scoring data serve as an objective measure of an athlete’s performance level. However, research has indicated the unreliability of objective measurements. Controversy often arises regarding the quality of j
Externí odkaz:
https://doaj.org/article/f647d757ccec44b6995bfe2fc4205637
Autor:
Lingyun Qiu, Rong Wu, Xinpeng Lin, Lifeng Qiu, Kainan Shao, Wenming Zhan, Qiang Li, Jieni Ding, Yucheng Li, Weijun Chen
Publikováno v:
IEEE Access, Vol 12, Pp 87615-87624 (2024)
This study utilized the U-Net deep learning model to automate the segmentation of three-dimensional after-loaded metal source applicators, aiming to expedite treatment planning, reduce patient wait times, and enhance the treatment process. Using CT i
Externí odkaz:
https://doaj.org/article/70bc6f0068034ddcbe3cd38372a24476