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Gaurav Sharma

Researcher at Shenzhen University

Publications -  1520
Citations -  40824

Gaurav Sharma is an academic researcher from Shenzhen University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 82, co-authored 1244 publications receiving 31482 citations. Previous affiliations of Gaurav Sharma include Northeastern University & D. E. Shaw & Co..

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Proline, catalase and root traits as indices of drought resistance in bold grained rice (Oryza sativa) genotypes

TL;DR: The analysis of variance of eight quantitative traits revealed that there was significant genetic variation among the genotypes for the traits conferring drought resistance, and small difference between GCV and PCV estimates was observed suggesting that these characters were little influenced by environment and could be substantially improved through selection breeding program.
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Anatomic pathology laboratory information systems: a review.

TL;DR: The evolution, necessary components, architecture and functionality of theAPLIS that are crucial to today’s practicing pathologist are discussed and the demands of emerging trends on the future APLIS are addressed.
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Micellization and interfacial behavior of binary surfactant mixtures based on cationic geminis and nonionic Tweens

TL;DR: In this article, the behavior of mixed cationic gemini-nonionic surfactant systems in solution and at interface have been studied by surface tension measurements, and the critical micelle concentration (cmc) values of the mixtures are lower than the values of individual surfactants and decrease with the increase in stoichiometric mole fraction of Tweens in the solution.
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Natural infection of Delta mutant of SARS-CoV-2 in Asiatic lions of India.

TL;DR: Detailed genomic characterization revealed involvement of Delta mutant (Pango lineage B.1.617.2) of SARS‐CoV‐2 at two different locations, and no other feline species enclosed in the zoo/park were found infected.
Proceedings ArticleDOI

See and listen: Score-informed association of sound tracks to players in chamber music performance videos

TL;DR: A framework for combining audio and video analyses of multi-instrument chamber music performances to associate players in the video to the individual separated instrument sources from the audio, in a score-informed fashion is presented.