Zobrazeno 1 - 10
of 209
pro vyhledávání: '"Zhilei WANG"'
Publikováno v:
Journal of Materials Research and Technology, Vol 32, Iss , Pp 1971-1983 (2024)
To overcome the disadvantage of the Arrhenius constitutive (AC) equation in predicting complex nonlinear flow behaviors, this work employed an artificial neural network (ANN) to introduce a proportional coefficient reflecting changes in softening mec
Externí odkaz:
https://doaj.org/article/4e6a110723ea4cae80989365200e695a
Publikováno v:
ACS Omega, Vol 9, Iss 36, Pp 37869-37881 (2024)
Externí odkaz:
https://doaj.org/article/e7603493436442399723f81520f2ae52
Autor:
Zheng Li, Langqing Lu, Min Yao, Zhilei Wang, Zhenmin Luo, Qianrui Huang, Tongshuang Liu, Xuhai Pan
Publikováno v:
ACS Omega, Vol 9, Iss 35, Pp 36961-36968 (2024)
Externí odkaz:
https://doaj.org/article/8f82a7eaf38f4fbeac470230deba4c61
Autor:
Wenhao Liao, Yuchen Li, Jingwen Liu, Yu Mou, Mei Zhao, Juan Liu, Tianxin Zhang, Qin Sun, Jianyuan Tang, Zhilei Wang
Publikováno v:
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Background Aberrant inflammatory responses drive the initiation and progression of various diseases, and hyperactivation of NLRP3 inflammasome is a key pathogenetic mechanism. Pharmacological inhibitors of NLRP3 represent a potential therapy
Externí odkaz:
https://doaj.org/article/1ba79f114826463d95517fc9e0bd24c4
Autor:
Juan Liu, Wuwen Feng, Dandan Zhang, Hao Cheng, Yaochuan Zhou, Jing Wu, Zixuan Wang, Zhilei Wang, Chunyan Fang, Guangsen Li, Yaodong You, Xujun Yu, Degui Chang
Publikováno v:
Arabian Journal of Chemistry, Vol 17, Iss 7, Pp 105809- (2024)
Wuzi Yanzong Pill (WZYZP), a classic traditional Chinese medicine prescription, has been widely used to alleviate spermatogenesis dysfunction for hundreds of years. However, the molecular mechanisms of WZYZP treatment for spermatogenesis dysfunction
Externí odkaz:
https://doaj.org/article/315979148d984ddd9c5d90724aa1fc29
Publikováno v:
IEEE Access, Vol 12, Pp 129870-129879 (2024)
To enhance the accuracy of existing nighttime visibility estimation methods, this study proposes a classification algorithm for nighttime visibility levels based on stable light sources. Initially, a target detection network identifies all stable str
Externí odkaz:
https://doaj.org/article/8d1a4d355df847a799edb4a61de6488f
Autor:
Kunyuan Wang, Qianting Lu, Yufeng Luo, Ganxiang Yu, Zhilei Wang, Jiaen Lin, Zhenlin Tan, Yueqiong Lao, Shiming Liu, Hui Yang
Publikováno v:
Biology Direct, Vol 19, Iss 1, Pp 1-14 (2024)
Abstract Background Aberrant expression and activation of circular RNAs (circRNAs) are closely associated with various cancers. The role of circ_MAPK9 (hsa_circ_0001566) in cancer progression remains unknown. This study aims to investigate the functi
Externí odkaz:
https://doaj.org/article/d8515c9986694035bc74c1674d09e322
Autor:
Xiaolong Deng, Zhilei Wang, Nian Wang, Haiting Zhao, Lang Qin, Runzhou Jiang, Meng Yuan, Xijun Chen, Zhen He
Publikováno v:
Agronomy, Vol 14, Iss 11, p 2594 (2024)
Grapevine berry inner necrosis virus (GINV) and grapevine Pinot gris virus (GPGV) are prevalent viral diseases affecting viticulture, posing significant threats in grape-producing regions of China. Previous studies have emphasized the harmful effects
Externí odkaz:
https://doaj.org/article/0bc4248ae56245e19615ce2c407b51f7
Publikováno v:
Materials & Design, Vol 242, Iss , Pp 113011- (2024)
Limitations on data volume and quality are key bottlenecks in using machine learning for property prediction and property-oriented composition design of non-oriented silicon steel. In response, this study employed a Gaussian Mixture Model (GMM) to ge
Externí odkaz:
https://doaj.org/article/1b283be0fe55483abb975e96480937c8
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
The metabolic disease hyperuricemia (HUA) is caused by presence of excessive serum uric acid (UA), which leads to an increased risk of chronic kidney disease and gout. As a widely used traditional Chinese medicine, Euodiae fructus (ER) has strong ant
Externí odkaz:
https://doaj.org/article/539c3df049a34a1a985fca3d43c1f8a4