Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hui-Min Xing"'
Autor:
Hui-min XING, Xin-gang XU, Zhen-hai LI, Yi-jin CHEN, Hai-kuan FENG, Gui-jun YANG, Zhao-xia CHEN
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 11, Pp 2444-2458 (2017)
Sensitivity analysis (SA) is an effective tool for studying crop models; it is an important link in model localization and plays an important role in crop model calibration and application. The objectives were to (i) determine influential and non-inf
Externí odkaz:
https://doaj.org/article/af6bfbb65eee4bd6a5f5eeb93e7cfbbd
Publikováno v:
Neural Regeneration Research, Vol 20, Iss 2, Pp 587-597
Several studies have found that transplantation of neural progenitor cells (NPCs) promotes the survival of injured neurons. However, a poor integration rate and high risk of tumorigenicity after cell transplantation limits their clinical application.
Externí odkaz:
https://doaj.org/article/380e0e69a3c345efab730c730119d0da
Publikováno v:
Neural Regeneration Research; Feb2025, Vol. 20 Issue 2, p587-597, 11p
Publikováno v:
Analytical Methods. 14:2833-2840
The in situ ATR-IR technique was used as a powerful tool to gain insight into the synthetic process of p-HPG. This aided in disclosing the important intermediates for the first time and achieving mechanistic understanding of the process.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f53cd8cb669eb0b8bc522318999b231c
https://doi.org/10.1039/d2ay00706a
https://doi.org/10.1039/d2ay00706a
Autor:
Zhen-hai Li, Haikuan Feng, Yi-jin Chen, Hui-min Xing, Zhao-xia Chen, Xin-gang Xu, Guijun Yang
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 11, Pp 2444-2458 (2017)
Sensitivity analysis (SA) is an effective tool for studying crop models; it is an important link in model localization and plays an important role in crop model calibration and application. The objectives were to (i) determine influential and non-inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2a587f7a4d4d648d13645a55a7528b3
https://doi.org/10.1016/s2095-3119(16)61626-x
https://doi.org/10.1016/s2095-3119(16)61626-x
Publikováno v:
Computer and Computing Technologies in Agriculture XI ISBN: 9783030061784
CCTA (2)
CCTA (2)
Since the early 1960s, multispectral imagery has been served as the data source for earth observational remote sensing (RS) in the last thirty years; the advancement of sensor technology had made it accessible to colleting hundreds continues spectral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::658cb69bba25cf3cdd0b83b91827c633
https://doi.org/10.1007/978-3-030-06179-1_28
https://doi.org/10.1007/978-3-030-06179-1_28
