Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Chuanhua Li"'
Autor:
Yifei Nie, Wenqing Meng, Duanqin Liu, Ziqing Yang, Wenhao Wang, Huiping Ren, Kai Mao, Weipeng Lan, Chuanhua Li, Zhifeng Wang, Jing Lan
Publikováno v:
Molecular Medicine, Vol 30, Iss 1, Pp 1-16 (2024)
Abstract Background Apical papilla stem cells (SCAPs) exhibit significant potential for tissue repair, characterized by their anti-inflammatory and pro-angiogenic properties. Exosomes derived from stem cells have emerged as safer alternatives that re
Externí odkaz:
https://doaj.org/article/5e45fa33d8df4cb8b445c5e12cd0fae9
Autor:
Chuanhua Li, Cui Liu, Atsushi Tsunekawa, Yunfan Liu, Peng Yin, Shaoxiu Ma, Min Zhou, Xiaodong Wu
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 11, Pp n/a-n/a (2024)
Abstract The impact of changes in global temperatures and precipitation on climate distribution remains unclear. Taking the annual global average temperatures and precipitation as the origin, this study determined the climate distribution with the di
Externí odkaz:
https://doaj.org/article/d2761801a6514939b4ae02534dd112e7
Publikováno v:
Microorganisms, Vol 12, Iss 8, p 1554 (2024)
In this study, one strain of Beauveria caledonica was isolated from wild fruiting bodies collected from Guizhou Province, China, and its species identification, biological characteristics, domestication, and cultivation methods were studied along wit
Externí odkaz:
https://doaj.org/article/ae34518678124a18a4038362005d3af6
Publikováno v:
Land, Vol 13, Iss 5, p 632 (2024)
Climate warming significantly impacts Arctic vegetation, yet its future role as a carbon sink or source is unclear. We analyzed vegetation growth and carbon exchange in Alaska’s tundra and needle leaf forests using the LPJ-GUESS model. The accuracy
Externí odkaz:
https://doaj.org/article/05420aa340ec42719f1790340d9c690d
Autor:
Wangping Li, Wanchang Zhang, Zhihong Li, Yu Wang, Hao Chen, Huiran Gao, Zhaoye Zhou, Junming Hao, Chuanhua Li, Xiaodong Wu
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 303-312 (2022)
The spectral matching algorithm based on the discrete particle swarm optimization algorithm (SMDPSO) sometimes overestimates extracted surface water areas. Here we constructed a new method (MEDPSO) by coupling discrete particle swarm optimization alg
Externí odkaz:
https://doaj.org/article/b584703ce0cd43c989fbc4eddc3b8db4
Autor:
Chuanhua Li, Liangliang Li, Xiaodong Wu, Atsushi Tsunekawa, Yufei Wei, Yunfan Liu, Lixiao Peng, Jiahao Chen, Keyu Bai
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
Taking the Mongolian Plateau as the research area, this paper studied the vegetation growth from 2001 to 2018. We quantified the vegetation growth changes based on changes in gross primary productivity (GPP) and leaf area index (LAI) and their relati
Externí odkaz:
https://doaj.org/article/a49166bca3514c609b5745b8be7726db
Autor:
Congrui Xu, Chuanhua Li
Publikováno v:
Land, Vol 12, Iss 11, p 2004 (2023)
Human activities and environmental changes have influenced the changes in landscape patterns, which in turn profoundly impact the variation in net primary productivity (NPP) of vegetation. Understanding the relationship between landscape patterns and
Externí odkaz:
https://doaj.org/article/7f900238250643b487be8a3515033c56
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 8, p 1598 (2023)
This article studies the sedimentary characteristics and models of the delta and gravity flow system of the third member of the Shahejie Formation in the Niuzhuang Sag area. Through seismic, logging, and core observation methods, a thorough investiga
Externí odkaz:
https://doaj.org/article/e190b4b1912947c1a4477d654f0a1c1c
Publikováno v:
Ecological Indicators, Vol 132, Iss , Pp 108282- (2021)
Changes in terrestrial net primary productivity (NPP) with climate were thought to arise from the direct effects of temperature and precipitation on plant metabolism. However, the change of NPP may be due to the indirect effect of global hydrothermal
Externí odkaz:
https://doaj.org/article/f2209ecbe6e64749989e3a69df53f662
Publikováno v:
Ecological Indicators, Vol 131, Iss , Pp 108132- (2021)
It is difficult to accurately estimate the spatial distribution of carbon dioxide (CO2) at the grid scale because of the lack of city-level statistical data. In this paper, CO2 emission regions were devided into urban area, industrial area and rural
Externí odkaz:
https://doaj.org/article/434867d8d51d4cee9079a8192e653ed1