Zobrazeno 1 - 10
of 287
pro vyhledávání: '"Yurong MA"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104143- (2024)
This study introduces an alternate spatial-temporal modeling-assisted InSAR time-series analysis method for mine subsidence mapping, aiming to address the large deformation gradients and decorrelation issues. The approach employs the iterative Modeli
Externí odkaz:
https://doaj.org/article/a2d8dac795b54b09807783ead61ddf60
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
ObjectivesTo accurately predict the risk of ischemic stroke, we established a radiomics model of carotid atherosclerotic plaque-based high-resolution vessel wall magnetic resonance imaging (HR-VWMRI) and combined it with clinical indicators.Materials
Externí odkaz:
https://doaj.org/article/a54643c751e74e0693209987ca8b1f36
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 16, p 8668 (2024)
To investigate the impact of extrusion parameters on the formation of Nε-(carboxymethyl)lysine (CML), Nε-(carboxyethyl)lysine (CEL) and acrylamide in plant-based meat analogues (PBMAs), the content changes and the correlations of compounds related
Externí odkaz:
https://doaj.org/article/77139a4f56784534854283065defbc68
Publikováno v:
SSM - Mental Health, Vol 3, Iss , Pp 100211- (2023)
As an upper-middle-income country, China has a vast territory, a large population and substantial variations in the nature of mental health service provision. Guangzhou, one of the five biggest cities in China, is considered as indicative of the curr
Externí odkaz:
https://doaj.org/article/23ee90a614294982aed80742347b475f
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract In view of the problems in traditional geological modeling methods, such as the insufficient utilization of geological survey data, the inaccurate expression of a stratigraphic model, and the large amount of model data, a 3D geological model
Externí odkaz:
https://doaj.org/article/af26f04a3166484684b1b4a5e8a38440
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract The shells of window pane oyster Placuna placenta are very thin and exhibit excellent optical transparency and mechanical robustness. However, little is known about the biomineralization-related proteins of the shells of P. placenta. In this
Externí odkaz:
https://doaj.org/article/4d9d3fa40ecb49d2bce3cd09623b5989
Autor:
Chongzhen Sun, Hongyan Li, Xiaodan Hui, Yurong Ma, Zhina Yin, Qingsong Chen, Cong Chen, Hui Wu, Xiyang Wu
Publikováno v:
Foods, Vol 12, Iss 18, p 3468 (2023)
Mulberry leaf protein hydrolysates (HMP), and their in vitro gastrointestinal digests (GHMP), have shown favorable chemical antioxidant activities. The aim of this study is to investigate the potential protective effects of HMP and GHMP against 2,2
Externí odkaz:
https://doaj.org/article/d0147bfe72644c3fb9fcf44dd000e41f
Publikováno v:
Foods, Vol 12, Iss 10, p 1967 (2023)
High temperatures applied in the production of plant-based meat analogs (PBMA) lead to the occurrence of Maillard reactions, in which harmful compounds Nε-(carboxymethyl)lysine (CML), Nε-(carboxyethyl)lysine (CEL) and acrylamide are formed. However
Externí odkaz:
https://doaj.org/article/f4ab83ce60044331979f7dc70a76cf78
Publikováno v:
Environmental Pollutants & Bioavailability, Vol 33, Iss 1, Pp 266-277 (2021)
Low-molecular-weight organic acids (LMWOAs) that have a wide variety of biological activities can affect the mobilization of heavy metals in soil. In this study, the effects of three kinds of LMWOAs on the remobilization of Cd, Cr, Pb, and As were in
Externí odkaz:
https://doaj.org/article/5f04bdd3269540bf999f456141cfadc7
Publikováno v:
Brain Sciences, Vol 13, Iss 1, p 143 (2023)
Stroke is a massive public health problem. The rupture of vulnerable carotid atherosclerotic plaques is the most common cause of acute ischemic stroke (AIS) across the world. Currently, vessel wall high-resolution magnetic resonance imaging (VW-HRMRI
Externí odkaz:
https://doaj.org/article/0b0cd109280e48c78aaf3abab02e271a