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Partha Pratim Roy

Researcher at Indian Institute of Technology Roorkee

Publications -  509
Citations -  8436

Partha Pratim Roy is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 36, co-authored 404 publications receiving 5505 citations. Previous affiliations of Partha Pratim Roy include Samsung & Indian Statistical Institute.

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Combined experimental and theoretical studies on selective sensing of zinc and pyrophosphate ions by rational design of compartmental chemosensor probe: Dual sensing behaviour via secondary recognition approach and cell imaging studies

TL;DR: A compartmental chemosensor probe HL has been designed and synthesized for the selective recognition of zinc ions over other transition metal ions via fluorescence "ON" strategy and a dual response was established based on "OFF-ON-OFF" strategy for detection of both cation and anion.
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Cross-language framework for word recognition and spotting of Indic scripts

TL;DR: In this article, a cross-language platform for handwritten word recognition and spotting for such low-resource scripts where training is performed with a sufficiently large dataset of an available script and testing is done on other scripts (considered as target script).
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Drug functionalized microbial polysaccharide based nanofibers as transdermal substitute.

TL;DR: In vitro cell culture studies revealed that the fabricated non-cytotoxic nanofibers promoted enhance cell adherence and proliferation of human keratinocytes and data collectively confirmed the potential usage of gellan based electrospun nan ofibers as transdermal substitute for faster skin restoration.
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Bradykinin Regulates Osteoblast Differentiation by Akt/ERK/NFκB Signaling Axis

TL;DR: The data suggest that BK decreases the differentiation of osteoblasts with concomitant increase in osteoclast formation and thus provides new insight into the mechanism of action of BK in modulating bone resorption.
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A lexicon-free approach for 3D handwriting recognition using classifier combination

TL;DR: A lexicon free approach for the recognition of 3D handwritten words in Latin and Devanagari scripts by combining multiple classifiers by using the Recognizer Output Voting Error Reduction (ROVER) framework.