Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yuanjun Xin"'
Autor:
Yuanjun Xin, Jie Chen, Hongxia Zhang, Robert P. Ostrowski, Yidan Liang, Jun Zhao, Xiang Xiang, Fuming Liang, Wenqiao Fu, Hao Huang, Xintong Wu, Jun Su, Jiewen Deng, Zhaohui He
Publikováno v:
Cells, Vol 11, Iss 19, p 2976 (2022)
White matter damage (WMD), one of the research hotspots of subarachnoid hemorrhage (SAH), mainly manifests itself as myelin injury and oligodendrocyte differentiation disorder after SAH, although the specific mechanism remains unclear. Dexamethasone-
Externí odkaz:
https://doaj.org/article/ff88ae0b0007495fb62a442aa9995e4a
Publikováno v:
Evidence-based complementary and alternative medicine : eCAM. 2022
Nonsmall cell lung cancer (NSCLC) is a predominant subtype of lung cancer and accounts for over 80% of all lung cancer cases. The resistance to pemetrexed (PEM) is frequently occurred and severely affects the NSCLC therapy. Proteomic analysis of hist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8c0f91053060389a95b42a4e9c973fb
https://pubmed.ncbi.nlm.nih.gov/35958929
https://pubmed.ncbi.nlm.nih.gov/35958929
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Drought stress is a critical environmental factor affecting sugarcane yield, and the adaptability of the sugarcane rhizosphere bacterial community is essential for drought tolerance. This review examines the adaptive responses of sugarcane rhizospher
Externí odkaz:
https://doaj.org/article/e0f49be1569a4e0d8a255dfb37b1f972
Autor:
Wenqiao Fu, Yidan Liang, Hao Huang, Zhaohui He, Jun Zhao, Hongxia Zhang, Jiewen Deng, Xiang Xiang, Fu Ming Liang, Yuanjun Xin, Jie Chen, Xintong Wu
BackgroundWhite matter damage (WMD), different from the widely studied neuronal death, is also involved in neurological dysfunction after subarachnoid hemorrhage (SAH) although the specific mechanism is not yet known. Dexras1 (RASD1) has been reporte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72b1b05c0f10d660a7fbf2b8f83483c5
https://doi.org/10.21203/rs.3.rs-672344/v1
https://doi.org/10.21203/rs.3.rs-672344/v1
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 5 (2023)
ABSTRACT Sugarcane is highly sensitive to changes in moisture, and increased drought severely restricts its growth and productivity. Recent studies have shown that plant growth-promoting microorganisms are essential to reduce the adverse effects of e
Externí odkaz:
https://doaj.org/article/c40bc2e8f8ed4298945440cbd44e76f6
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 628 (2023)
Dynamic detection of forest change is the fundamental method of monitoring forest resources and an essential means of preserving the accuracy and timeliness of forest land resource data. This study focuses on a deep learning-based method for dynamic
Externí odkaz:
https://doaj.org/article/bdc5fd3b3cf04451987c7514285f50ee
Autor:
Qi Liu, Xiaowen Zhao, Yue Liu, Sasa Xie, Yuanjun Xing, Jicao Dao, Beilei Wei, Yunchang Peng, Weixing Duan, Ziting Wang
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
Sugarcane is an important sugar and energy crop, and its yield is greatly affected by drought. Although a large number of studies have shown that rhizosphere microorganisms can help improve the adaptability of plants to biotic or abiotic stresses, th
Externí odkaz:
https://doaj.org/article/145367c9343e4af4b3cbbf731e40e2de
Autor:
Qi Liu, Sasa Xie, Xiaowen Zhao, Yue Liu, Yuanjun Xing, Jicao Dao, Beilei Wei, Yunchang Peng, Weixing Duan, Ziting Wang
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
Rhizosphere bacteria, the main functional microorganisms inhabiting the roots of terrestrial plants, play important roles in regulating plant growth and environmental stress resistance. However, limited information is available regarding changes occu
Externí odkaz:
https://doaj.org/article/3fee12a849674436863efe2e9e922d9a
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 5046 (2022)
The use of remote sensing images to detect forest changes is of great significance for forest resource management. With the development and implementation of deep learning algorithms in change detection, a large number of models have been designed to
Externí odkaz:
https://doaj.org/article/6425a895f06649c28f3bb793ee619825