Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Hui-Ling He"'
Autor:
Zi-Jian Zheng, Ze-Hua Cui, Qiu-Yue Diao, Xin-Qing Ye, Zi-Xing Zhong, Tian Tang, Shuai-Bin Wu, Hui-Ling He, Xin-Lei Lian, Liang-Xing Fang, Xi-Ran Wang, Li-Jie Liang, Ya-Hong Liu, Xiao-Ping Liao, Jian Sun
Publikováno v:
Virulence, Vol 13, Iss 1, Pp 77-88 (2022)
The extensive use of tetracycline antibiotics has led to the widespread presence of tetracycline-resistance genes in Gram-negative bacteria and this poses serious threats to human and animal health. In our previous study, we reported a method for rap
Externí odkaz:
https://doaj.org/article/ee666b88daa84834b43f8ca42e6c90d3
Autor:
Ze-Hua Cui, Hui-Ling He, Zi-Jian Zheng, Zhao-Qi Yuan, Ying Chen, Xin-Yi Huang, Hao Ren, Yu-Feng Zhou, Dong-Hao Zhao, Liang-Xing Fang, Yang Yu, Ya-Hong Liu, Xiao-Ping Liao, Jian Sun
Publikováno v:
Antibiotics, Vol 12, Iss 4, p 760 (2023)
Objectives: Multidrug-resistant (MDR) Gram-negative bacterial infections have limited treatment options due to the impermeability of the outer membrane. New therapeutic strategies or agents are urgently needed, and combination therapies using existin
Externí odkaz:
https://doaj.org/article/87fb671db1a54ff4ac3fbe4bcb729674
Autor:
Ze-Hua Cui, Hui-Ling He, Shuai-Bin Wu, Chun-Liu Dong, Si-Ya Lu, Ti-Jiang Shan, Liang-Xing Fang, Xiao-Ping Liao, Ya-Hong Liu, Jian Sun
Publikováno v:
Antibiotics, Vol 10, Iss 4, p 463 (2021)
Antimicrobial resistance is recognized as one of the major global health challenges of the 21st century. Synergistic combinations for antimicrobial therapies can be a good strategy for the treatment of multidrug resistant infections. We examined the
Externí odkaz:
https://doaj.org/article/27f3a9ab7594405cab1a7ef8ecbc9473
Autor:
Zi-Jian, Zheng, Ze-Hua, Cui, Qiu-Yue, Diao, Xin-Qing, Ye, Zi-Xing, Zhong, Tian, Tang, Shuai-Bin, Wu, Hui-Ling, He, Xin-Lei, Lian, Liang-Xing, Fang, Xi-Ran, Wang, Li-Jie, Liang, Ya-Hong, Liu, Xiao-Ping, Liao, Jian, Sun
Publikováno v:
Virulence, Vol 13, Iss 1, Pp 77-88 (2022)
The extensive use of tetracycline antibiotics has led to the widespread presence of tetracycline-resistance genes in Gram-negative bacteria and this poses serious threats to human and animal health. In our previous study, we reported a method for rap
Autor:
Jian Sun, Cui Zehua, Shuai-Bin Wu, Lu Siya, Tijiang Shan, Xiao-Ping Liao, Ya-Hong Liu, Chun-Liu Dong, Liang-Xing Fang, Hui-Ling He
Publikováno v:
Antibiotics
Volume 10
Issue 4
Antibiotics, Vol 10, Iss 463, p 463 (2021)
Volume 10
Issue 4
Antibiotics, Vol 10, Iss 463, p 463 (2021)
Antimicrobial resistance is recognized as one of the major global health challenges of the 21st century. Synergistic combinations for antimicrobial therapies can be a good strategy for the treatment of multidrug resistant infections. We examined the
Publikováno v:
Guang pu xue yu guang pu fen xi = Guang pu. 36(10)
The stellar classification was an important research field for understanding the formation and evolution of stars and galaxies. With large sky surveys and its massive data, the speed and accuracy of the celestial automatic classification was very imp
Publikováno v:
Journal of Biological Chemistry. 290:14679-14691
Brown adipose tissue expends energy in the form of heat via the mitochondrial uncoupling protein UCP1. Recent studies showed that brown adipose tissue is present in adult humans and may be exploited for its anti-obesity and anti-diabetes actions. Ape
Publikováno v:
Research in Astronomy and Astrophysics. 16:002
The quality of full-disk solar Hα images is significantly degraded by stripe interference. In this paper, to improve the analysis of morphological evolution, a robust solution for stripe interference removal in a partial full-disk solar Hα image is
Publikováno v:
2009 International Conference on Machine Learning and Cybernetics.
Mining maximal frequent itemsets is an active research area in data stream mining. A new algorithm, called MFI-TD (mine maximal frequent itemsets based on time decay model) is proposed for mining maximum frequent itemsets. A new data structure, calle
Publikováno v:
2009 International Conference on Machine Learning and Cybernetics.
In order to improve the mining efficiency of frequent patterns in data streams, we present an algorithm DS-FPM for mining frequent patterns in data streams. First, a data structure DSFP-tree is constructed and the data stream is divided into a set of