Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Runke, Wang"'
Autor:
Chengyong WU, Guangchao CAO, Kelong CHEN, Dingqiuying BA, Baokang LIU, Runke WANG, Yaya SHI, Chongyi E
Publikováno v:
Gaoyuan qixiang, Vol 43, Iss 3, Pp 802-808 (2024)
Gansu-Yellow River basin is a natural-social-economic complex ecosystem intertwined with ecological and development issues.Soil conservation service （SCS） is an important safeguard for preventing soil erosion and promoting high-quality developmen
Externí odkaz:
https://doaj.org/article/0e6907a36a2942dc9262b306798a7fb9
Publikováno v:
Water, Vol 16, Iss 18, p 2603 (2024)
An accurate estimation of evapotranspiration (ET) is critical to understanding the water cycle in watersheds and promoting the sustainable utilization of water resources. Although there are various ET products in the Yellow River Basin, various ET pr
Externí odkaz:
https://doaj.org/article/e6efbabc92cc4c458ab7151b43f33525
Autor:
Runke, Wang1 (AUTHOR) wrk0531@tsnu.edu.cn, Xiaoni, You1 (AUTHOR), Yaya, Shi1 (AUTHOR), Chengyong, Wu1 (AUTHOR), Baokang, Liu1 (AUTHOR)
Publikováno v:
PLoS ONE. 8/16/2022, Vol. 17 Issue 8, p1-23. 23p.
Autor:
Chengyong Wu, Kelong Chen, Chongyi E, Xiaoni You, Dongcai He, Liangbai Hu, Baokang Liu, Runke Wang, Yaya Shi, Chengxiu Li, Fumei Liu
Publikováno v:
Geoscientific Model Development. 15:6919-6933
The Carnegie–Ames–Stanford Approach (CASA) model is widely used to estimate vegetation net primary productivity (NPP) at regional scales. However, the CASA is still driven by multisource data, e.g. satellite remote sensing (RS) data, and ground o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb4383e939965a95a8d83dc04ef94699
https://doi.org/10.5194/gmd-15-6919-2022
https://doi.org/10.5194/gmd-15-6919-2022
Autor:
Shengyuan Ma, Runke Wang, Suhao Qiu, Ruokun Li, Qi Yue, Qingfang Sun, Liang Chen, Fuhua Yan, Guang-Zhong Yang, Yuan Feng
Magnetic Resonance Elastography (MRE) can characterize biomechanical properties of soft tissue for disease diagnosis and treatment planning. However, complicated wavefields acquired from MRE coupled with noise pose challenges for accurate displacemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b86db21899b0a5c51b1dffc8a28ab69
Publikováno v:
Journal of visualized experiments : JoVE. (183)
Characterization of biomechanical properties of soft biological tissues is important to understand the tissue mechanics and explore the biomechanics-related mechanisms of disease, injury, and development. The mechanical testing method is the most str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5954d7fa301b09c77a45b509b8b42557
https://pubmed.ncbi.nlm.nih.gov/35635467
https://pubmed.ncbi.nlm.nih.gov/35635467
Autor:
Chengyong Wu, Kelong Chen, Chongyi E, Xiaoni You, Dongcai He, Liangbai Hu, Baokang Liu, Runke Wang, Yaya Shi, Chengxiu Li, Fumei Liu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72e1e09b1d9672e664c83182caaab8fa
https://doi.org/10.5194/gmd-2021-258-supplement
https://doi.org/10.5194/gmd-2021-258-supplement
Publikováno v:
NMR in Biomedicine. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39087207b924fc216e09a22cbcfd874b
https://doi.org/10.1002/nbm.4655
https://doi.org/10.1002/nbm.4655
Publikováno v:
NMR in biomedicineREFERENCES. 34(12)
Our goal is to design, test and verify an electromagnetic actuator for brain magnetic resonance elastography (MRE). We proposed a grappler-shaped design that can transmit stable vibrations into the brain. To validate its performance, simulations were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee297213c48b416d85e87e78cf949438
https://pubmed.ncbi.nlm.nih.gov/34291510
https://pubmed.ncbi.nlm.nih.gov/34291510
Publikováno v:
Physics in Medicine & Biology. 67:025007
Objective. To achieve fast magnetic resonance elastography (MRE) at a low frequency for better shear modulus estimation of the brain. Approach. We proposed a multiphase radial DENSE MRE (MRD-MRE) sequence and an improved GRASP algorithm utilizing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98b81123ed0c9403ceb6230971e0bce9
https://doi.org/10.1088/1361-6560/ac4a42
https://doi.org/10.1088/1361-6560/ac4a42