Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Meng-ting Jin"'
Autor:
Yuan-hui Li, Shuang Shen, Tong Shao, Meng-ting Jin, Dong-dong Fan, Ai-fu Lin, Li-xin Xiang, Jian-zhong Shao
Publikováno v:
Cell Death Discovery, Vol 7, Iss 1, Pp 1-16 (2021)
Abstract Mesenchymal stem cell (MSC) therapy has become a promising treatment for liver fibrosis due to its predominant immunomodulatory performance in hepatic stellate cell inhibition and fibrosis resolution. However, the cellular and molecular mech
Externí odkaz:
https://doaj.org/article/b1a717fc229c4d82b88e4c6d4a3e5077
Autor:
Shuang Shen, Li-Xin Xiang, Dong-Dong Fan, Meng-ting Jin, Tong Shao, Jian-Zhong Shao, Aifu Lin, Yuan-hui Li
Publikováno v:
Cell Death Discovery, Vol 7, Iss 1, Pp 1-16 (2021)
Mesenchymal stem cell (MSC) therapy has become a promising treatment for liver fibrosis due to its predominant immunomodulatory performance in hepatic stellate cell inhibition and fibrosis resolution. However, the cellular and molecular mechanisms un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1afaf65db19bfcfa7ef5154f86d9fcc8
https://doaj.org/article/b1a717fc229c4d82b88e4c6d4a3e5077
https://doaj.org/article/b1a717fc229c4d82b88e4c6d4a3e5077
Heavy metal pollution in soil has become a global environmental problem in recent years. This study assessed heavy metals' pollution distribution, level and ecological risk in soils from different functional areas in Shihezi City, China. Heavy metals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d351fc583a72eead64a95a18284cf716
https://doi.org/10.21203/rs.3.rs-1217348/v1
https://doi.org/10.21203/rs.3.rs-1217348/v1
Publikováno v:
Agro-Geoinformatics
Surface soil moisture (SSM) is a significant component in the modeling of climatological, hydrological and ecological systems. In this study, an approach is presented and validated for combining the water cloud and Change Detection models to invert s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::076abae224b00f283cf09c5b6f19ca94
https://doi.org/10.1109/agro-geoinformatics.2017.8047013
https://doi.org/10.1109/agro-geoinformatics.2017.8047013