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Institution

China Three Gorges University

EducationYichang, China
About: China Three Gorges University is a education organization based out in Yichang, China. It is known for research contribution in the topics: Catalysis & Landslide. The organization has 11161 authors who have published 8011 publications receiving 82224 citations. The organization is also known as: Sanxia Daxue.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors studied the geologic conditions of a selected landslide mass and developed an expression for the hydrodynamic pressure under the effects of groundwater within the slope area.

56 citations

Journal ArticleDOI
TL;DR: In this article, the effects of solution treatment on microstructural and mechanical properties of a novel Al-Zn-Mg alloy by microalloying with Sc and Zr were investigated by means of optical microscopy (OM), scanning electron microscopy, TEM, energy dispersive X-ray spectroscopy (EDS), differential scanning calorimeter (DSC), Xray diffraction and tensile test, hardness measurement, respectively.

56 citations

Journal ArticleDOI
TL;DR: This study used the saturated fatty acid palmitic acid to activate TLR4 signal pathway in human monocyte cells THP-1 that established an intracellular inflammatory model and showed that key signal molecular TRAF6 is a target of miR-194, which negatively regulates the TLR 4 signal pathway which is activated by PA through directly negative TRAF 6 expression.
Abstract: There is strong evidence to suggest that inflammatory responses link obesity and diseases, and the understanding of obesity-induced inflammatory mechanisms is central to the pathogenesis of diseases such asnonalcoholic fatty liver disease(NAFLD) and atherosclerosis that are modified by obesity Based on this, anti-inflammatory treatments become a potential therapies for obesity-related diseases like NAFLDA critical role of toll-like receptor (TLR) and its downstream molecules such as tumor necrosis factor receptor-associated factor 6(TRAF6) has been documented in inflammatory response induced by fatty acid TLR pathway regulation provides a new insight to controlling the inflammatory response induced by fatty acid Taken together, our study was aimed to understand the mechanism of fatty acid-mediated inflammation and look for an effective target which can prevent the inflammatory response induced by obesity In this study, we used the saturated fatty acid palmitic acid (PA) to activate TLR4 signal pathway in human monocyte cells THP-1 that established an intracellular inflammatory model Followed with activated TLR4, downstream molecular TRAF6 was upregulated and ultimately induced proinflammatory cytokine production Based on this model, we also found that PA downregulated miR-194 expression with TLR4 activation Moreover, our results showed that key signal molecular TRAF6 is a target of miR-194, overexpression of miR-194 directly decreased TRAF6 expression and attenuated the release of proinflammatory cytokine TNF-α in PA-activated monocyte THP-1 We conclude that miR-194 negatively regulates the TLR4 signal pathway which is activated by PA through directly negative TRAF6 expression

55 citations

Journal ArticleDOI
TL;DR: In this article, a simplified center pore model was proposed to study the relationship between the effective tensile and compressive strengths of concrete and porosity, and the pore size was chosen as the representative index of pore structure.

55 citations

Journal ArticleDOI
TL;DR: In this paper, it was shown that no non-constant positive steady state exists if 0 1 and large θ, where non-convex positive steady states can occur, and that p plays a crucial role in leading to spatially nonhomogeneous distribution of the two reactants.

55 citations


Authors

Showing all 11222 results

NameH-indexPapersCitations
Shu Li136100178390
Yu Huang136149289209
Jian Zhang107306469715
Tao Li102248360947
Jian Chen96171852917
Jing Zhang95127142163
Qichun Zhang9454028367
Bin Li92175542835
Xianhui Bu8729020927
Dawei Wang8593441226
Guangshan Zhu7736921281
Fei Xu7174324009
Jian Zhang7031714802
Ying Wu7048922952
Chao Zhang6933123555
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202333
202285
2021997
2020900
2019754
2018571