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pro vyhledávání: '"Cuifang Chen"'
Autor:
Wenlin Liu, Jie Wu, Yuanpu Lai, Siyi Zhang, Ankui Yang, Yixuan Li, Cuifang Chen, Zhongming Lu
Publikováno v:
Biology Direct, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background Laryngeal cancer (LCA) is one of the most common head and neck squamous cell carcinoma with poor outcome. LCA stem cells are the main reason for LCA therapy resistance and relapse. Understanding the molecular mechanisms of the sel
Externí odkaz:
https://doaj.org/article/0f505637185844af98c4023ce0b8991d
Autor:
Yu Miao, Qiaorong Chen, Xinyu Liu, Jian Bu, Zhuoqi Zhang, Tongjing Liu, Zhenjie Yue, Lizhen Huang, Shuaishuai Sun, Hao Li, Ankui Yang, Zhongyuan Yang, Cuifang Chen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Head and neck squamous carcinoma (HNSC) is a prevalent malignant disease, with the majority of patients being diagnosed at an advanced stage. Endoplasmic reticulum stress (ERS) is considered to be a process that promotes tumorigenesis and im
Externí odkaz:
https://doaj.org/article/a7356cc90bdc4a85861fb5ba5812f726
Publikováno v:
Risk Management and Healthcare Policy. 13:2593-2599
Background Infection surveillance and risk factor analysis are among the most important prerequisites for the prevention and treatment of nosocomial bacteria infections, which are the demands for both infected and non-infected patients. Purpose To ex
Publikováno v:
Oncology Letters.
Nasopharyngeal carcinoma (NPC) is a common tumor in south China. Kinesin family member 2A (KIF2A) belongs to the kinesin-13 family and is associated with the growth and invasion of a number of different types of human cancer, including ovarian, breas
Autor:
Cuifang Chen
Publikováno v:
FSKD
Web users' interest and preference can be revealed by such factors as access frequencies and time durations of web pages, in which time durations on a web page are denoted by a fuzzy linguistic variable. Thus, a novel concept of fuzzy preference cons
Autor:
Cuifang Chen
Publikováno v:
2009 WRI World Congress on Software Engineering.
In this paper, a fuzzy rough approximation approach is proposed to cluster user access patterns from web logs. In the process of clustering user access patterns, whether a web page is visited or not discloses a web user's interest during a surfing. T