Institution
Shanghai University
Education•Shanghai, Shanghai, China•
About: Shanghai University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Microstructure & Catalysis. The organization has 59583 authors who have published 56840 publications receiving 753549 citations. The organization is also known as: Shànghǎi Dàxué.
Topics: Microstructure, Catalysis, Computer science, Nonlinear system, Graphene
Papers published on a yearly basis
Papers
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TL;DR: A hybrid MCDM model is proposed in this study for improving FMEA and combines the advantages of interval-valued intuitionistic fuzzy sets (IVIFSs) in coping with uncertainty, vagueness and incompleteness, and the merits of COPRAS and ANP in solving multi-criteria decision making problems.
155 citations
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TL;DR: It is suggested that miR-17-3p contributes to exercise-induced cardiac growth and protects against adverse ventricular remodeling and may represent a novel therapeutic target to promote functional recovery after cardiac ischemia/reperfusion.
Abstract: Limited microRNAs (miRNAs, miRs) have been reported to be necessary for exercise-induced cardiac growth and essential for protection against pathological cardiac remodeling. Here we determined members of the miR-17-92 cluster and their passenger miRNAs expressions in two distinct murine exercise models and found that miR-17-3p was increased in both. miR-17-3p promoted cardiomyocyte hypertrophy, proliferation, and survival. TIMP-3 was identified as a direct target gene of miR-17-3p whereas PTEN was indirectly inhibited by miR-17-3p. Inhibition of miR-17-3p in vivo attenuated exercise-induced cardiac growth including cardiomyocyte hypertrophy and expression of markers of myocyte proliferation. Importantly, mice injected with miR-17-3p agomir were protected from adverse remodeling after cardiac ischemia/reperfusion injury. Collectively, these data suggest that miR-17-3p contributes to exercise-induced cardiac growth and protects against adverse ventricular remodeling. miR-17-3p may represent a novel therapeutic target to promote functional recovery after cardiac ischemia/reperfusion.
155 citations
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TL;DR: In this article, the authors integrated plasmonic Ag/AgCl with a typical semiconductor-like metal-organic framework MIL-88A(Fe) to form ACMA nanocomposites by a facile one-pot solvothermal method.
155 citations
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01 Jul 2021TL;DR: Li et al. as discussed by the authors employed the Semi-parametric Difference-in-Differences (SDID) to evaluate the impact of green finance related policies in China, utilizing text analysis and panel data from 290 cities between 2011 and 2018.
Abstract: This paper is one of the first to offer a comprehensive analysis of the impact of green finance related policies in China, utilizing text analysis and panel data from 290 cities between 2011 and 2018. Employing the Semi-parametric Difference-in-Differences (SDID) we show that overall China's green finance related policies have led to a significant reduction in industrial gas emissions in the review period. Additionally, we found that Fintech development contributes to the depletion of sulphur dioxide emissions and has a positive impact on environmental protection investment initiatives. China is poised to be a global leader in green finance policy implementation and regulators need to accelerate the formulation of green finance products and enhance the capacity of financial institutions to offer green credit. While minimizing the systemic risk fintech poses, policy makers should encourage fintechs to actively participate in environmental protection initiatives that promote green consumption.
155 citations
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TL;DR: In this paper, the authors analyzed heat and mass transfer with the transverse magnetic field on peristaltic motion of two-phase flow (particle-fluid suspension) through a planar channel.
155 citations
Authors
Showing all 59993 results
Name | H-index | Papers | Citations |
---|---|---|---|
Zhong Lin Wang | 245 | 2529 | 259003 |
Yang Yang | 171 | 2644 | 153049 |
Yang Liu | 129 | 2506 | 122380 |
Zhen Li | 127 | 1712 | 71351 |
Xin Wang | 121 | 1503 | 64930 |
Jian Liu | 117 | 2090 | 73156 |
Xin Li | 114 | 2778 | 71389 |
Wei Zhang | 112 | 1189 | 93641 |
Jianjun Liu | 112 | 1040 | 71032 |
Liquan Chen | 111 | 689 | 44229 |
Jin-Quan Yu | 111 | 438 | 43324 |
Jonathan L. Sessler | 111 | 997 | 48758 |
Peng Wang | 108 | 1672 | 54529 |
Qian Wang | 108 | 2148 | 65557 |
Wei Zhang | 104 | 2911 | 64923 |