Zobrazeno 1 - 10
of 72
pro vyhledávání: '"BingQian Chen"'
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background To analyse the causal associations of different physical measures with osteoarthritis knee (KOA). Methods Exposure factors (weight, body mass index (BMI), body fat percentage, waist circumference, hip circumference, waist–hip ra
Externí odkaz:
https://doaj.org/article/5a1cee190df74ab7964446a90168a342
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 601-613 (2024)
Subsidence caused by underground coal mining activities seriously threatens the safety of surface buildings, and interferometric synthetic aperture radar has proven to be one effective tool for subsidence monitoring in mining areas. However, the envi
Externí odkaz:
https://doaj.org/article/7c692607c47b475dab1cdffb18bd222e
Autor:
Ying Wu, XiangJie Li, Hao Meng, Ying Wang, Peng Sheng, YongNing Dong, Ju Yang, BingQian Chen, XueSong Wang
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
The understanding of the link between the gut-bone axis is growing yearly, but the mechanisms involved are not yet clear. Our study analyzed the role of Sestrin2 (SESN2)pathway in the gut-bone axis. We established an osteoarthritis (OA) model in Spra
Externí odkaz:
https://doaj.org/article/c9b54d0baaee4819834e00e3dadfd736
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
Distributed scatterer interferometric synthetic aperture radar (DS InSAR) technology has been widely used in various fields. Homogeneous pixel selection is a crucial step in the use of DS InSAR, directly affecting the estimation precision and reliabi
Externí odkaz:
https://doaj.org/article/643eda06e609412798b324bc8bb766c0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1244-1255 (2023)
Net ecosystem productivity (NEP) is a key indicator to describe terrestrial ecosystem functions and carbon sinks. The CASA model was improved by optimizing the parameters optimum temperature and maximum light use efficiency (${\varepsilon }_{\max }$)
Externí odkaz:
https://doaj.org/article/839fd3ed884f4a34b87222e246e0c2ca
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Colorectal cancer is a common malignant tumor in clinic. With the change of people's diet, living environment and living habits, the incidence of colorectal cancer has risen sharply in recent years, which poses a great threat to people's health and q
Externí odkaz:
https://doaj.org/article/635f238d396e4830bb036c26f5dd4632
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Externí odkaz:
https://doaj.org/article/c5899480a8b9448981f77bf31013ef19
Publikováno v:
Minerals, Vol 13, Iss 1, p 117 (2023)
This paper describes a parametric study using discrete element modeling (DEM) of partial mining in a mountain terrain with in situ pillars for overburden support. For room and pillar mining or strip pillar mining, the accurate estimation of pillar st
Externí odkaz:
https://doaj.org/article/7c1438ede9a04a66b7dbb6aec3130821
Autor:
Zhiqi Zeng, Wenda Guan, Yong Liu, Zhengshi Lin, Wenhua Liang, Jingyi Liang, Bingqian Chen, Tong Wu, Yutao Wang, Chunguang Yang, Qiubao Wu, Zhitong Mai, Jinchao Zhou, Junhou Zhou, Zhoulang Wang, Zhijie Lin, Chaohui Hu, Chunqiu Wu, Pengyuan Zhu, Canxiong Chen, Nanshan Zhong, Eric H. Y. Lau, Chitin Hon, Yaoming Liang, Zifeng Yang, Jianxing He
Publikováno v:
Frontiers in Microbiology, Vol 12 (2022)
China implemented stringent non-pharmaceutical interventions (NPIs) in spring 2020, which has effectively suppressed SARS-CoV-2. In this study, we utilized data from routine respiratory virus testing requests from physicians and examined circulation
Externí odkaz:
https://doaj.org/article/cdeb2fe9e4f749a28e1d6dfe6ce3f38b
Autor:
Liang Liang, Ting Huang, Liping Di, Di Geng, Juan Yan, Shuguo Wang, Lijuan Wang, Li Li, Bingqian Chen, Jianrong Kang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1494-1502 (2020)
Leaf area index (LAI) is a valuable indicator used in vegetation growth monitoring. To optimize the index selection according to the type of remote sensing data and to improve the inversion accuracy of LAI, this article analyzes the influence of diff
Externí odkaz:
https://doaj.org/article/541bbc12400440a9bd5ce8ed554e2980