Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aibo Xu"'
Autor:
Yimin Yang, Xuling Luo, Yaling Wang, Aibo Xu, Lina Peng, Xiaoting Zhang, Zhen Wang, Youmin Ying, Kaiqiang Li
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 177, Iss , Pp 117074- (2024)
Glioma, a common and highly malignant central nervous system tumor, markedly influences patient prognosis via interactions with glioma-associated macrophages. Previous research has revealed the anticancer potential of β-mangostin, a xanthone derivat
Externí odkaz:
https://doaj.org/article/7cc73f79db0b4a4eb6d5bb14e61ed7f6
Publikováno v:
Mathematics, Vol 12, Iss 3, p 396 (2024)
This paper proposes a derivative-variance hybrid global sensitivity measure with optimal sampling method selection. The proposed sensitivity measure is as computationally efficient as the derivative-based global sensitivity measure, which also serves
Externí odkaz:
https://doaj.org/article/8042789bb4a3419ba2de5966e8f2b20b
Autor:
Kaiqiang Li, Bingyu Chen, Aibo Xu, Jinglan Shen, Kaixuan Li, Ke Hao, Rongrong Hao, Wei Yang, Wanli Jiang, Yongfa Zheng, Feihang Ge, Zhen Wang
Publikováno v:
Redox Biology, Vol 56, Iss , Pp 102451- (2022)
Objective: Glioblastoma is one of the most common intracranial malignant tumors with an unfavorable prognosis, and iron metabolism as well as ferroptosis are implicated in the pathogenesis of glioblastoma. The present study aims to decipher the role
Externí odkaz:
https://doaj.org/article/1ece35045ae24483bd56ff644cc94c3c
Autor:
Kaiqiang Li, Ke Hao, Yu Zhang, Aibo Xu, Qianni Wang, Yaoqiang Du, Lingling Wu, Bingyu Chen, Wei Zhang, Zhen Wang
Publikováno v:
ACS Omega, Vol 5, Iss 39, Pp 25156-25163 (2020)
Externí odkaz:
https://doaj.org/article/fefa1da05ccb4336825800e74cb7157e
Publikováno v:
2022 2nd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS).
Publikováno v:
2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA).
Tool wear is inevitable in manufacturing and affects the surface quality and geometric tolerance significantly. Detection of the tool wear and residual life can significantly improve the usage rate of machining and reduce the economic losses due to t
Publikováno v:
2020 13th International Conference on Intelligent Computation Technology and Automation (ICICTA).
Named entity recognition is a fundamental and important task in natural language processing in some specific fields, such as network security, medical diagnosis, law and so on. In these field, there are many complicated named entities with less conte
Publikováno v:
ICCSE
Aiming at the deficiency of K-means clustering algorithm, Both the random selection of initial clustering center and the empirical determination of K value have a certain impact on k-means clustering results. A k-means clustering algorithm based on c