Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yu-Tong Xia"'
Autor:
Hao-Nan Li, Qing-Qing Yang, Wen-Tao Wang, Xue Tian, Fan Feng, Shu-Ting Zhang, Yu-Tong Xia, Jia-Xue Wang, Yuan-Wu Zou, Jun-Yang Wang, Xiao-Yan Zeng
Publikováno v:
Journal of Neuroinflammation, Vol 18, Iss 1, Pp 1-20 (2021)
Abstract Background Our recent studies have identified that the red nucleus (RN) dual-directionally modulates the development and maintenance of mononeuropathic pain through secreting proinflammatory and anti-inflammatory cytokines. Here, we further
Externí odkaz:
https://doaj.org/article/60353a686fe247de992f8d0db8dd4188
Autor:
Qing-Qing Yang, Hao-Nan Li, Yu-Tong Xia, Xue Tian, Fan Feng, Jian Yang, Ya-Li Xu, Juan Guo, Xiao-Qi Li, Jun-Yang Wang, Xiao-Yan Zeng
Publikováno v:
Frontiers in Molecular Neuroscience, Vol 15 (2022)
Our previous studies have clarified that red nucleus (RN) interleukin (IL)-6 is involved in the maintenance of neuropathic pain and produces a facilitatory effect by activating JAK2/STAT3 and ERK pathways. In this study, we further explored the immun
Externí odkaz:
https://doaj.org/article/a174faf4129548fa8f50bf14e6e4d946
Autor:
Qing-Qing Yang, Hao-Nan Li, Yu-Tong Xia, Xue Tian, Fan Feng, Jian Yang, Ya-Li Xu, Juan Guo, Xiao-Qi Li, Jun-Yang Wang, Xiao-Yan Zeng
Publikováno v:
Frontiers in molecular neuroscience. 15
Our previous studies have clarified that red nucleus (RN) interleukin (IL)-6 is involved in the maintenance of neuropathic pain and produces a facilitatory effect by activating JAK2/STAT3 and ERK pathways. In this study, we further explored the immun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fb9aeda5e61570024c9b16689bda966
https://pubmed.ncbi.nlm.nih.gov/35465093
https://pubmed.ncbi.nlm.nih.gov/35465093
An Environmentally Aware Scheme of Wireless Sensor Networks for Forest Fire Monitoring and Detection
Publikováno v:
Future Internet, Vol 10, Iss 10, p 102 (2018)
Forest fires are a fatal threat to environmental degradation. Wireless sensor networks (WSNs) are regarded as a promising candidate for forest fire monitoring and detection since they enable real-time monitoring and early detection of fire threats in
Externí odkaz:
https://doaj.org/article/b4dbd24dc9834cfb9b55af83f9a42cbf