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Institution

Zhejiang University

EducationHangzhou, Zhejiang, China
About: Zhejiang University is a education organization based out in Hangzhou, Zhejiang, China. It is known for research contribution in the topics: Catalysis & Population. The organization has 161257 authors who have published 183264 publications receiving 3417592 citations. The organization is also known as: Chekiang University & Zheda.


Papers
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Journal ArticleDOI
30 Apr 2010-Cell
TL;DR: NLRC5 is identified as a negative regulator that blocks two central components of the NF-kappaB and type I interferon signaling pathways and suggest an important role for NLRC5 in homeostatic control of innate immunity.

369 citations

Journal ArticleDOI
TL;DR: The theoretical foundations, algorithms, and applications of adversarial attack techniques are introduced and a few research efforts on the defense techniques are described, which cover the broad frontier in the field.

368 citations

Journal ArticleDOI
TL;DR: This paper introduces TextFlow, a seamless integration of visualization and topic mining techniques, for analyzing various evolution patterns that emerge from multiple topics, and extends an existing analysis technique to extract three-level features.
Abstract: Understanding how topics evolve in text data is an important and challenging task. Although much work has been devoted to topic analysis, the study of topic evolution has largely been limited to individual topics. In this paper, we introduce TextFlow, a seamless integration of visualization and topic mining techniques, for analyzing various evolution patterns that emerge from multiple topics. We first extend an existing analysis technique to extract three-level features: the topic evolution trend, the critical event, and the keyword correlation. Then a coherent visualization that consists of three new visual components is designed to convey complex relationships between them. Through interaction, the topic mining model and visualization can communicate with each other to help users refine the analysis result and gain insights into the data progressively. Finally, two case studies are conducted to demonstrate the effectiveness and usefulness of TextFlow in helping users understand the major topic evolution patterns in time-varying text data.

368 citations

Journal ArticleDOI
TL;DR: The findings suggest that both the surveillance of tet(X) variants in clinical and animal sectors and the use of tetracyclines in food production require urgent global attention.
Abstract: Tigecycline is a last-resort antibiotic that is used to treat severe infections caused by extensively drug-resistant bacteria. tet(X) has been shown to encode a flavin-dependent monooxygenase that modifies tigecycline1,2. Here, we report two unique mobile tigecycline-resistance genes, tet(X3) and tet(X4), in numerous Enterobacteriaceae and Acinetobacter that were isolated from animals, meat for consumption and humans. Tet(X3) and Tet(X4) inactivate all tetracyclines, including tigecycline and the newly FDA-approved eravacycline and omadacycline. Both tet(X3) and tet(X4) increase (by 64-128-fold) the tigecycline minimal inhibitory concentration values for Escherichia coli, Klebsiella pneumoniae and Acinetobacter baumannii. In addition, both Tet(X3) (A. baumannii) and Tet(X4) (E. coli) significantly compromise tigecycline in in vivo infection models. Both tet(X3) and tet(X4) are adjacent to insertion sequence ISVsa3 on their respective conjugative plasmids and confer a mild fitness cost (relative fitness of >0.704). Database mining and retrospective screening analyses confirm that tet(X3) and tet(X4) are globally present in clinical bacteria-even in the same bacteria as blaNDM-1, resulting in resistance to both tigecycline and carbapenems. Our findings suggest that both the surveillance of tet(X) variants in clinical and animal sectors and the use of tetracyclines in food production require urgent global attention.

367 citations

Journal ArticleDOI
TL;DR: Aqueous adsorption of a series of phenols and anilines by a multiwalled carbon nanotube material (MWCNT15), which depends strongly on the solution pH and the number and types of solute groups, was investigated in this study.
Abstract: Aqueous adsorption of a series of phenols and anilines by a multiwalled carbon nanotube material (MWCNT15), which depends strongly on the solution pH and the number and types of solute groups, was investigated in this study. The pH-dependent adsorption coefficients, Kd, could be predicted by the established models including solute pKa and solution pH values. Phenol or aniline substitution with more groups has higher adsorption affinity, and nitro, chloride, or methyl groups enhanced adsorption in the following order: nitro group > chloride group > methyl group. All adsorption isotherms of nondissociated phenols and anilines are nonlinear and fitted well by the Polanyi-theory based Dubinin−Ashtakhov (DA) model. Linear quantitative relationships combining DA model parameters (E and b) with solute solvatochromic parameters were developed to evaluate the adsorptive behaviors of nondissociated species. For the saturated sorbed capacity, Q0, the logarithmic values of phenols and anilines were relatively constan...

367 citations


Authors

Showing all 162389 results

NameH-indexPapersCitations
Stuart H. Orkin186715112182
H. S. Chen1792401178529
Markus Antonietti1761068127235
Yang Yang1712644153049
Gang Chen1673372149819
Jun Wang1661093141621
Hua Zhang1631503116769
Rui Zhang1512625107917
Ben Zhong Tang1492007116294
J. Fraser Stoddart147123996083
Yi Yang143245692268
Jian Yang1421818111166
Liming Dai14178182937
Joseph Lau140104899305
Wei Huang139241793522
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023468
20222,571
202119,859
202017,750
201914,872
201812,285