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Sanjay Ghosh

Researcher at Indian Institute of Technology Roorkee

Publications -  209
Citations -  3999

Sanjay Ghosh is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Bilateral filter & Normalized Difference Vegetation Index. The author has an hindex of 30, co-authored 196 publications receiving 3079 citations. Previous affiliations of Sanjay Ghosh include Indian Institutes of Technology & University of Cambridge.

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Mutational Analysis of the Tetrahydrobiopterin-binding Site in Inducible Nitric-oxide Synthase

TL;DR: Together, this work shows how hydrogen bonding and aromatic stacking interactions of Arg-375, Trp-457, TrP-455, and Phe-470 influence iNOSox dimeric structure, heme environment, and NO synthesis and thus help modulate the multiple effects of H4B.
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Deep learning-based road damage detection and classification for multiple countries

TL;DR: In this article, the authors proposed a large-scale heterogeneous road damage dataset comprising 26,620 images collected from multiple countries (India, Japan, and the Czech Republic) using smartphones.
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Trafficking of cholesterol to the ER is required for NLRP3 inflammasome activation

TL;DR: ER sterol levels are revealed as a metabolic rheostat for the activation of the NLRP3 inflammasome by using pharmacological and genetic approaches targeting NPC1 to reveal that blockade of cholesterol trafficking through the late endosome–lysosome pathway blunts NLRP2 inflammaome activation.
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Effective knockdown of Drosophila long non-coding RNAs by CRISPR interference

TL;DR: This work shows that coexpression of the catalytically inactive Cas9 (dCas9) and guide RNAs targeting the endogenous roX locus in the Drosophila cells results in a robust and specific knockdown of roX1 and roX2 RNAs, thus eliminating the need for recruiting chromatin modifying proteins for effective gene silencing.
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Effect on specific crop mapping using WorldView-2 multispectral add-on bands: soft classification approach

TL;DR: In this paper, new add-on bands in a multispectral dataset of WorldView-2, DigitalGlobe's second next-generation satellite, have been evaluated.