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Bone marrow-derived mesenchymal stem cells attenuate myocardial ischemia–reperfusion injury via upregulation of splenic regulatory T cells

Autor: Ling-Xiao Pang, Wen-Wei Cai, Qian Li, Heng-Jie Li, Min Fei, Yong-Sheng Yuan, Bin Sheng, Ke Zhang, Rong-Cheng An, Ying-Wei Ou, Wen-Jie Zeng

Publikováno v: BMC Cardiovascular Disorders, Vol 21, Iss 1, Pp 1-12 (2021)

Abstract Background Myocardial ischemia–reperfusion injury (MIRI) is the main pathological manifestation of cardiovascular diseases such as myocardial infarction. The potential therapeutic effects of bone marrow-derived mesenchymal stem cells (BM-M

Externí odkaz: https://doaj.org/article/0551a9b7a6fd479a803ed8b783274948

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Influence of miR-142-3p on Pulmonary Fibrosis Through Regulation of p53/NF-κB

Autor: Ye Sen, Heng-Jie Li, Ke Zhang, Sheng-Qin Li, Ying-Ge Xu

Publikováno v: Journal of Pharmacology and Pharmacotherapeutics. :0976500X2311752

Objectives To investigate the role of miR-142-3p in the bleomycin-induced idiopathic pulmonary fibrosis (IPF) mouse model and elucidate its targets. Methods In vitro model: Alveolar epithelial cells (AECs) were isolated and treated with bleomycin (50

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8706cd93674b6b715249c903452b6d2f
https://doi.org/10.1177/0976500x231175222

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Cluster analysis of echelon utilization of power battery based on machine learning

Autor: Heng Jie Li, Jiang Hao Zhu, Hong Li

Publikováno v: 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021).

There are many factors affecting the consistency of power battery. Aiming at the problems of poor consistency and inaccurate clustering reorganization of retired power batteries, this paper mainly considers three characteristic parameters: capacity,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::88bf70c2beea0fd88ea5345c8581724c
https://doi.org/10.1117/12.2620666

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Additional file 1 of Bone marrow-derived mesenchymal stem cells attenuate myocardial ischemia–reperfusion injury via upregulation of splenic regulatory T cells

Autor: Pang, Ling-Xiao, Cai, Wen-Wei, Li, Qian, Heng-Jie Li, Fei, Min, Yuan, Yong-Sheng, Sheng, Bin, Zhang, Ke, An, Rong-Cheng, Ou, Ying-Wei, Zeng, Wen-Jie

Additional file 1. Supplemental Fig 1. BM-MSCs cocultured with splenocytes induced the Treg population and increased the levels of IL-10 and TGF-β1. Splenocyte (5× 106 cells) were freshly isolated from mice and cocultured with BM-MSCs (1×105 cells

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6aba8f70e0bfd437dfd68db79932b86b

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A Nonlinear Optimal Iterative Learning Control Algorithm Based on RBF Neural Network and Clonal Selection Algorithm

Autor: Xiao Hong Hao, Heng Jie Li, Xi Ping Pei

Publikováno v: Advanced Materials Research. :1225-1229

Improved clonal selection algorithms and RBF neural network are used for solving nonlinear optimization problems and modeling respectively in iterative learning control, and a nonlinear optimal iterative learning control algorithm (NOILCA) is propose

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2659aee4a1092ff8735c48a873b4c8e2
https://doi.org/10.4028/www.scientific.net/amr.753-755.1225

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A Clonal Selection Algorithm Based Fuzzy Optimal Iterative Learning Control Algorithm

Autor: Heng Jie Li, Xian Jun Du, Xiao Hong Hao, Ya Rong Jin

Publikováno v: Advanced Materials Research. :329-333

In order to realize effective tracking of output of non-linear plants with model uncertainty in specified time domain, a clonal selection algorithm based fuzzy optimal iterative learning control algorithm is proposed. In the algorithm, a clonal selec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c344358b9bc52e65cf38cf977ae5bb8f
https://doi.org/10.4028/www.scientific.net/amr.490-495.329

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Dynamic Controller Based on Ying Learning Algorithm for Medical Temperature System

Autor: Heng Jie Li, Xiao Hong Hao, Ping Zhang

Publikováno v: Advanced Materials Research. 187:371-376

In order to avoid the over fitting and training and solve the knowledge extraction problem in fuzzy neural networks system. Ying Learning Dynamic Fuzzy Neural Network (YL-DFNN) algorithm is proposed. The Learning Set based on K-VNN is constituted fro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adbb128a52d699e481e6d85d7b2e4192
https://doi.org/10.4028/www.scientific.net/amr.187.371

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