S
Suvarna Prasad
Researcher at Maharishi Markandeshwar University, Mullana
Publications - 21
Citations - 389
Suvarna Prasad is an academic researcher from Maharishi Markandeshwar University, Mullana. The author has contributed to research in topics: Diabetes mellitus & Diabetic nephropathy. The author has an hindex of 3, co-authored 20 publications receiving 340 citations.
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Nanotechnology in medicine and antibacterial effect of silver nanoparticles
TL;DR: The importance of bactericidal nanomaterials study is because of the increase in new resistant strains of bacteria against most potent antibiotics, which has promoted research in the well known activity of silver ions and silver-based compounds, including silver nanoparticles.
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COVID-19 in India: Are Biological and Environmental Factors Helping to Stem the Incidence and Severity?
Sankha Shubhra Chakrabarti,Upinder Kaur,Anindita Banerjee,Upasana Ganguly,Tuhina Banerjee,Sarama Saha,Gaurav Parashar,Suvarna Prasad,Suddhachitta Chakrabarti,Amit Mittal,Bimal K Agrawal,Ravindra K. Rawal,Robert Chunhua Zhao,Indrajeet Singh Gambhir,Rahul Khanna,Ashok K. Shetty,Kunlin Jin,Sasanka Chakrabarti +17 more
TL;DR: The current pattern of SARS-CoV-2 transmission, testing, and mortality in India is analyzed with an emphasis on the importance of mortality as a marker of the clinical relevance of COVID-19 disease.
Malondialdehyde (MDA): an oxidative stress marker in type II Diabetes mellitus with and without complications.
TL;DR: Increase in serum MDA levels in type-II diabetics with complication and duration reflects the increasing free radical activity and subsequent oxidative stress.
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Weed Dynamics in Greengram as Influenced by Mulching and Weed Management Practices under Eight Year Old Custard Apple Plantation in Agri-horticultural System
Proceedings ArticleDOI
A Fast Arbitrary Down-Sizing Algorithm for Video Transcoding
TL;DR: It is demonstrated that a basic operation in reconstructing 16×16 macroblock, as a whole, can be represented as multiplication by fixed matrices and the computations can be greatly simplified through decomposition of DCT/IDCT matrix operations.