Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Caihua Wu"'
Autor:
Yongmin Liu, Min Jia, Caihua Wu, Hong Zhang, Chao Chen, Wenqiang Ge, Kexing Wan, Yuye Lan, Shiya Liu, Yuanheng Li, Mengyue Fang, Jiexi He, Hui-Lin Pan, Jun-Qiang Si, Man Li
Publikováno v:
Frontiers in Pharmacology, Vol 12 (2022)
Type 1 and type 2 cannabinoid receptors (CB1 and CB2, respectively) mediate cannabinoid-induced analgesia. Loss of endogenous CB1 is associated with hyperalgesia. However, the downstream targets affected by ablation of CB1 in primary sensory neurons
Externí odkaz:
https://doaj.org/article/c56921ca953c441384905bcbc6d68b20
Autor:
Caihua Wu, Yongmin Liu, Kexing Wan, Yuye Lan, Min Jia, Lixue Lin, Shan Gao, Ke Chen, Jinmei Yang, Hui-Lin Pan, Man Li, Hongrong Mao
Publikováno v:
Journal of Pain Research. 15:2149-2160
Caihua Wu,1 Yongmin Liu,2 Kexing Wan,2 Yuye Lan,2 Min Jia,3 Lixue Lin,4 Shan Gao,1 Ke Chen,1 Jinmei Yang,1 Hui-Lin Pan,5 Man Li,2 Hongrong Mao1 1Department of Acupuncture, Wuhan First Hospital, Wuhan, Hubei Province, 430030, Peopleâs Republic of
Autor:
Yongmin Liu, Min Jia, Caihua Wu, Hong Zhang, Chao Chen, Wenqiang Ge, Kexing Wan, Yuye Lan, Shiya Liu, Yuanheng Li, Mengyue Fang, Jiexi He, Hui-Lin Pan, Jun-Qiang Si, Man Li
Publikováno v:
Frontiers in Pharmacology
Frontiers in Pharmacology, Vol 12 (2022)
Frontiers in Pharmacology, Vol 12 (2022)
Type 1 and type 2 cannabinoid receptors (CB1 and CB2, respectively) mediate cannabinoid-induced analgesia. Loss of endogenous CB1 is associated with hyperalgesia. However, the downstream targets affected by ablation of CB1 in primary sensory neurons
Publikováno v:
Information Sciences. 423:50-65
Nowadays, recommender systems face the problem of time heterogeneous feedback recommendation, in which items are recommended according to several kinds of user feedback with time stamps. Previously proposed recurrent neural network based recommendati
Autor:
Min Jia1,2 (AUTHOR), Caihua Wu1,2 (AUTHOR), Fang Gao1 (AUTHOR), Hongchun Xiang1 (AUTHOR), Ning Sun1 (AUTHOR), Ping Peng3 (AUTHOR), Jingjing Li1 (AUTHOR), Xiaocui Yuan1 (AUTHOR), Hongping Li1 (AUTHOR), Xianfang Meng1,4 (AUTHOR), Bo Tian1,4 (AUTHOR), Jing Shi1,4 (AUTHOR), Man Li1,4 (AUTHOR) liman73@mails.tjmu.edu.cn
Publikováno v:
Molecular Pain. 7/17/2017, Vol. 13, p1-11. 11p. 1 Black and White Photograph, 1 Chart, 5 Graphs.
Publikováno v:
CSSE
Software reliability growth model (SRGM) describes the process of software failure, which is used to evaluate software reliability. Current SRGMs typically assume that software faults are removed once a software fault is detected and no new faults wi
Publikováno v:
Knowledge-Based Systems. 109:90-103
In recommender systems, several kinds of user feedback with time stamps are collected and used for recommendation, which is called the time heterogeneous feedback recommendation problem. The existing recommendation methods can handle only one kind of
Publikováno v:
Information Sciences. 327:1-20
Widely existing conditional preference is seldom taken into consideration in recommender systems. This may lead to unsatisfying recommendation results. To address this issue, in this paper, we propose to use boosted regression trees to represent cond
Autor:
Yueyuan, Fan, Guofu, Huang, Fang, Gao, Caihua, Wu, Xiaocui, Yuan, Hongping, Li, Xiaoli, Pan, Wei, Chen, Yang, Cao, Ludong, Xin, Man, Li
Publikováno v:
Zhongguo zhen jiu = Chinese acupuncturemoxibustion. 36(8)
To explore the anti-inflammatory and analgesia mechanism of electroacupuncture (EA) device of point injection (PI) on rats of inflammatory pain.48 Sprague Dawley (SD) rats were randomly assigned into a control group, a model group, an EA+PI group, an
Publikováno v:
Expert Systems with Applications. 42:774-788
We find the conditional preference exists widely in recommender systems.We propose to use quadratic polynomial to approximate conditional preference.The proposed model is integrated into ListPMF and gets more satisfying results. By investigating the