Zobrazeno 1 - 10
of 408
pro vyhledávání: '"Yiyun, Chen"'
Autor:
Justin A. Guerrero, Dorota D. Klysz, Yiyun Chen, Meena Malipatlolla, Jameel Lone, Carley Fowler, Lucille Stuani, Audre May, Malek Bashti, Peng Xu, Jing Huang, Basil Michael, Kévin Contrepois, Shaurya Dhingra, Chris Fisher, Katrin J. Svensson, Kara L. Davis, Maya Kasowski, Steven A. Feldman, Elena Sotillo, Crystal L. Mackall
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract The intensive nutrient requirements needed to sustain T cell activation and proliferation, combined with competition for nutrients within the tumor microenvironment, raise the prospect that glucose availability may limit CAR-T cell function.
Externí odkaz:
https://doaj.org/article/83e1ea5811734dc0b264ba4b71908511
Autor:
Chi Zhang, Yiyun Chen, Yujiao Wei, Peiheng Yu, Yongsheng Hong, Yazhen Hu, Jiaxue Wang, Zhou Shi
Publikováno v:
Geoderma, Vol 450, Iss , Pp 117032- (2024)
Understanding the spatial distribution and mechanisms driving soil organic carbon (SOC) is crucial for assessing soil carbon stocks and implementing effective carbon sequestration strategies in agricultural landscapes. The linear and nonlinear relati
Externí odkaz:
https://doaj.org/article/8ba497bb8fdf493abcdccf5a97d3bc0f
Autor:
Jiaxue Wang, Yiyun Chen, Zihao Wu, Yujiao Wei, Zheyue Zhang, Xiaomi Wang, Jingyi Huang, Zhou Shi
Publikováno v:
Geoderma, Vol 449, Iss , Pp 117026- (2024)
Soil organic carbon (SOC) mapping delivers invaluable information to the global carbon budget and climate change mitigation endeavour. Environmental variables at sample locations are frequently used as explanatory variables for simulating the spatial
Externí odkaz:
https://doaj.org/article/86e2e63a415d444eb9a5206626ed9a12
Publikováno v:
Geoderma, Vol 449, Iss , Pp 117011- (2024)
Soil organic carbon (SOC) is a critical component that affects soil quality and global carbon cycling. Current SOC mapping approaches are based on the spatial stationarity relationship of SOC and soil formation processes. Nevertheless, the spatial pa
Externí odkaz:
https://doaj.org/article/716ca24f2f5d4c0da978deec84d37e12
Publikováno v:
Geoderma, Vol 449, Iss , Pp 116996- (2024)
Soil moisture plays an important role in the transpiration, evaporation and plant growth processes at the land surface-atmosphere interface. Optical remote sensing has great potential for the retrieval of surface soil moisture content (SMC), with man
Externí odkaz:
https://doaj.org/article/f78132c7cb024371bf981db690abc716
Autor:
Kaixing Zeng, Zhi-Han Jiao, Qin Jiang, Ru He, Yixin Zhang, Wei-Guang Li, Tian-Le Xu, Yiyun Chen
Publikováno v:
ACS Central Science, Vol 10, Iss 1, Pp 163-175 (2023)
Externí odkaz:
https://doaj.org/article/ec69b87abccf4ac0a764c76588246113
Publikováno v:
Land, Vol 13, Iss 10, p 1624 (2024)
Integrating ecosystem services (ESs) to delineate ecological functional zones (EFZs) is fundamental in terrestrial spatial planning and ecosystem management. However, existing studies have largely overlooked the refinement of EFZs at local scales, wh
Externí odkaz:
https://doaj.org/article/85bf79ff52454e1ba8cdea3a0766cfd6
Publikováno v:
Sensors, Vol 24, Iss 17, p 5612 (2024)
Soil heavy metal contamination in urban land can affect biodiversity, ecosystem functions, and the health of city residents. Visible and near-infrared (Vis-NIR) spectroscopy is fast, inexpensive, non-destructive, and environmentally friendly compared
Externí odkaz:
https://doaj.org/article/caee492831d0401984d19a05f3bdb717
Publikováno v:
Land, Vol 13, Iss 8, p 1279 (2024)
Heavy metal contamination in urban land has become a serious environmental problem in large cities. Visible and near-infrared spectroscopy (vis-NIR) has emerged as a promising method for monitoring copper (Cu), which is one of the heavy metals. When
Externí odkaz:
https://doaj.org/article/496b3f0f3e4040cbaa576f9b3ae2b299
Autor:
Jiaxue Wang, Yujiao Wei, Zheng Sun, Shixiang Gu, Shihan Bai, Jinming Chen, Jing Chen, Yongsheng Hong, Yiyun Chen
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3017 (2024)
Soil erodibility (K) refers to the inherent ability of soil to withstand erosion. Accurate estimation and spatial prediction of K values are vital for assessing soil erosion and managing land resources. However, as most K-value estimation models are
Externí odkaz:
https://doaj.org/article/51c96d4351a941148dcd0d1e408308b5