G
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..
Papers
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Effectiveness of curcumin mouthwash on radiation-induced oral mucositis among head and neck cancer patients: A triple-blind, pilot randomised controlled trial
TL;DR: Though both the mouthwashes were not able to completely prevent the onset ofRIOM and reduce the severity of RIOM, use of 0.1% curcumin mouthwash was able to significantly delay the onset.
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Synthesis, Characterization and Antimicrobial Activity of Abeliagrandiflora Assisted AgNPs
TL;DR: The biosynthesised AgNPs exhibited the antimicrobial activity against Gram negative bacteria and gram positive bacteria and Gram positive bacteria (Gram (+) Bacteria) and A. grandiflora may be used for the green synthesis of ultra-fine nanoparticles of silver for their antimicrobial activities.
Patent
Visual monitor calibration
TL;DR: In this article, a method for deriving gamma for a display monitor that does not involve color matching tasks is presented, which includes displaying a test pattern to a user on the display monitor, including at least one of a pattern of alternating light and dark regions displayed to the user at different gamma correction levels.
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Porcine sapelovirus among diarrhoeic piglets in India.
P.K. Ray,P. A. Desingu,Swati Kumari,Jeny K. John,Menaka Sethi,Gaurav Sharma,B. Pattnaik,Rahul Singh,G. Saikumar +8 more
TL;DR: The study revealed that five of 70 faecal samples were found positive for PSV using RT-PCR, and complete genome sequencing and analysis of one Indian PSV isolate revealed highest homology with V13 strain from England.
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Image Recognition System using Geometric Matching and Contour Detection
TL;DR: This document presents the representation of the recognition of two images through the process of geometric comparison, performed by comparing the image with a template through the processes of edge detection, scaling, contour matching and RGB to grayscale conversion.