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Institution

Shanghai University

EducationShanghai, 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 & Graphene. The organization has 59583 authors who have published 56840 publications receiving 753549 citations. The organization is also known as: Shànghǎi Dàxué.


Papers
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Proceedings ArticleDOI
Junjie Peng1, Xuejun Zhang, Zhou Lei1, Bofeng Zhang1, Wu Zhang1, Qing Li1 
26 Dec 2009
TL;DR: The characteristics, architectures and applications of several popular cloud computing platforms are analyzed and discussed in detail so that users can better understand the different cloud platforms and more reasonablely choose what they want.
Abstract: Cloud computing is the development of parallel computing, distributed computing and grid computing. It has been one of the most hot research topics. Now many corporations have involved in the cloud computing related techniques and many cloud computing platforms have been put forward. This is a favorable situation to study and application of cloud computing related techniques. Though interesting, there are also some problems for so many flatforms. For to a novice or user with little knowledge about cloud computing, it is still very hard to make a reasonable choice. What differences are there for different cloud computing platforms and what characteristics and advantages each has? To answer these problems, the characteristics, architectures and applications of several popular cloud computing platforms are analyzed and discussed in detail. From the comparison of these platforms, users can better understand the different cloud platforms and more reasonablely choose what they want.

259 citations

Journal ArticleDOI
TL;DR: Numerical calculations for two networks with different topological connections are presented and interesting synchronization and desynchronization alternately appear with increasing value of the coupling strength.
Abstract: We study synchronization for two unidirectionally coupled networks. This is a substantial generalization of several recent papers investigating synchronization inside a network. We derive analytically a criterion for the synchronization of two networks which have the same (inside) topological connectivity. Then numerical examples are given which fit the theoretical analysis. In addition, numerical calculations for two networks with different topological connections are presented and interesting synchronization and desynchronization alternately appear with increasing value of the coupling strength.

258 citations

Journal ArticleDOI
TL;DR: The results indicated that SiNPs accumulate mainly in lungs, liver and spleen and are retained for over 30 days in the tissues because of the endocytosis by macrophages, and could potentially cause liver injury when intravenously injected.
Abstract: As the biosafety of nanotechnology becomes a growing concern, the in vivo nanotoxicity of NPs has drawn a lot of attention. Silica nanoparticles (SiNPs) have been widely developed for biomedical use, but their biodistribution and toxicology have not been investigated extensively in vivo. Although investigations of in vivo qualitative distribution of SiNPs have been reported, the time-dependent and quantitative informations about the distribution of SiNPs are still lacking. Here we investigated the long-term (30 days) quantitative tissue distribution, and subcellular distribution, as well as potential toxicity of two sizes of intravenously administered SiNPs in mice using radiolabeling, radioactive counting, transmission electron microscopy and histological analysis. The results indicated that SiNPs accumulate mainly in lungs, liver and spleen and are retained for over 30 days in the tissues because of the endocytosis by macrophages, and could potentially cause liver injury when intravenously injected.

256 citations

Journal ArticleDOI
Qun Luo1, Jianding Li2, Bo Li2, Bin Liu1, Huaiyu Shao2, Qian Li1 
TL;DR: In this article, a review on the enhancement method of kinetics in Mg-based hydrogen storage materials and introduces the new kinetic models is presented, which is an efficient way to reveal the hydriding/dehydriding (H/D) kinetic mechanism.

256 citations


Authors

Showing all 59993 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Yang Yang1712644153049
Yang Liu1292506122380
Zhen Li127171271351
Xin Wang121150364930
Jian Liu117209073156
Xin Li114277871389
Wei Zhang112118993641
Jianjun Liu112104071032
Liquan Chen11168944229
Jin-Quan Yu11143843324
Jonathan L. Sessler11199748758
Peng Wang108167254529
Qian Wang108214865557
Wei Zhang104291164923
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023182
2022741
20216,318
20205,569
20195,063
20184,235