Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jiabang Liu"'
Autor:
Jiao Luo, You Cai, Peng Xiao, Changchun Cao, Meiling Huang, Xiaohua Zhang, Jie Guo, Yongyang Huo, Qiaoyan Tang, Liuyang Zhao, Jiabang Liu, Yaqi Ma, Anqun Yang, Mingchao Zhou, Yulong Wang
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 15 (2024)
Background Neuroinflammatory responses are closely associated with poststroke prognosis severity. This study aimed to develop a predictive model, combining inflammation‐derived markers and clinical indicators, for distinguishing functional outcomes
Externí odkaz:
https://doaj.org/article/ffdc9aea2b72485babb87fa41622586c
Autor:
You Cai, Ting Chen, Yanling Cai, Jiabang Liu, Bin Yu, Yixian Fan, Jun Su, Yixuan Zeng, Xiaohua Xiao, Lijie Ren, Yizhe Tang
Publikováno v:
Journal of Extracellular Vesicles, Vol 13, Iss 4, Pp n/a-n/a (2024)
Abstract Noninvasive and effortless diagnosis of Alzheimer's disease (AD) remains challenging. Here we report the multiplexed profiling of extracellular vesicle (EV) surface proteins at the single EV level in five types of easily accessible body flui
Externí odkaz:
https://doaj.org/article/a39fbd8d6b4a429299fd240d08acb6f4
Autor:
Dong Li, Yinchu Cheng, Ping Yuan, Ziyang Wu, Jiabang Liu, Jinfu Kan, Kun Zhang, Zhanguo Wang, Hui Zhang, Guangwu Zhang, Tao Xue, Junxiu Jia, Suodi Zhai, Zhenpeng Guan, Yanjie Yin
Publikováno v:
Chinese Medical Journal, Vol 136, Iss 18, Pp 2187-2194 (2023)
Abstract. Background:. Clinical trial evidence is limited to identify better topical non-steroidal anti-inflammatory drugs (NSAIDs) for treating knee osteoarthritis (OA). We aimed to compare the clinical efficacy and safety of flurbiprofen cataplasms
Externí odkaz:
https://doaj.org/article/4ae3f46e98324b65808b97c73b5488e1
Autor:
Shi Xie, Rong Yan, Anqi Zheng, Mengfen Shi, Longqing Tang, Xueying Li, Jiabang Liu, Yifan Gan, Yu Wang, Deke Jiang, Li Liu, Hongkai Wu, Zhanhui Wang
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
BackgroundThe tumor microenvironment in hepatocellular carcinoma (HCC) is complicated. Tumor-infiltrating T and B cells play a pivotal role in anti-tumor immunity. T cell receptor (TCR) and B cell receptor (BCR) features may reflect the disease-assoc
Externí odkaz:
https://doaj.org/article/d4cac6353a294dd1a9e3b85c5d6e13bf
Autor:
Chaojie Xu, Lishan Song, Yubin Yang, Yi Liu, Dongchen Pei, Jiabang Liu, Jianhua Guo, Nan Liu, Xiaoyong Li, Yuchen Liu, Xuesong Li, Lin Yao, Zhengjun Kang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundNumerous studies have found that infiltrating M2 macrophages play an important role in the tumor progression of lung adenocarcinoma (LUAD). However, the roles of M2 macrophage infiltration and M2 macrophage-related genes in immunotherapy an
Externí odkaz:
https://doaj.org/article/78a3c7f163c344cc8077a199860b51c9
Autor:
Chaojie Xu, Lishan Song, Hui Peng, Yubin Yang, Yi Liu, Dongchen Pei, Jianhua Guo, Nan Liu, Jiabang Liu, Xiaoyong Li, Chen Li, Zhengjun Kang
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
Background: Numerous studies have shown that infiltrating eosinophils play a key role in the tumor progression of bladder urothelial carcinoma (BLCA). However, the roles of eosinophils and associated hub genes in clinical outcomes and immunotherapy a
Externí odkaz:
https://doaj.org/article/1477da028c1b4bfaa66c37eb56a3bf69
Publikováno v:
PLoS ONE, Vol 9, Iss 7, p e102621 (2014)
Osteosarcoma is the most common primary tumor of the bone. It leads to many deaths because of its rapid proliferation and metastasis. Recent studies have shown that microRNAs are important gene regulators that are involved in various cancer-related p
Externí odkaz:
https://doaj.org/article/e44e2fac6a2d4797b13c7dfcb3ac7424
Autor:
Xueying Li, Anqi Zheng, Jiabang Liu, Mengfen Shi, Baolin Liao, Shi Xie, Rong Yan, Yifan Gan, Xuan Zuo, Mingxing Gong, Hongkai Wu, Zhanhui Wang
Publikováno v:
Antiviral Research. 214:105608
Publikováno v:
Expert Systems. 39
Publikováno v:
CSCWD
Computation offloading is an attractive and challenging problem in Edge Computing. Existing offloading approaches are mostly designed for the mobile devices in the service coverage of edge servers, which neglects the devices in the dummy area (i.e.,