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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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Multiplex PCR for rapid detection of serotype A foot-and-mouth disease virus variants with amino acid deletion at position 59 of the capsid protein VP3

TL;DR: A rapid multiplex PCR assay was developed for detection of the dominating VP3(59)-deletion group with 100% sensitivity and specificity, even before generating sequence data and confirmatory phylogenetic analysis, important for surveillance of FMD in India.
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Etiology and pathophysiology of heart failure in people with HIV.

TL;DR: In this paper, the authors explored the proposed mechanisms by which chronic HIV infection induces cardiomyopathy and heart failure in the setting of highly active anti-retroviral therapy (HAART), even when accounting for known cardiovascular risk factors.
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The Origin and Clinical Relevance of Yoga Nidra

TL;DR: Yoga nidra, also known as "yogic sleep", is a simplified form of an ancient tantric relaxation technique as discussed by the authors , which combines guided mental imagery with a specific yoga posture called Shavasana (or "corpse pose").
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Online Audio-Visual Source Association for Chamber Music Performances

TL;DR: A computational system that models audio- visual correspondences to achieve source association for Western chamber music ensembles including strings, woodwind, and brass instruments and enables novel applications such as interactive audio-visual music editing and auto-whirling camera in concerts.
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Dual Modulated QR Codes for Proximal Privacy and Security

TL;DR: This work proposes dual modulated QR (DMQR) codes, a novel QR code extension via which users can securely communicate private information in public places using their smartphones and a camera interface, and demonstrates that the proposed DMQR codes are effective in meeting their objective.