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Nazrul Islam

Researcher at University of Exeter

Publications -  349
Citations -  11250

Nazrul Islam is an academic researcher from University of Exeter. The author has contributed to research in topics: Computer science & Chemistry. The author has an hindex of 40, co-authored 304 publications receiving 9497 citations. Previous affiliations of Nazrul Islam include Icahn School of Medicine at Mount Sinai & Aberystwyth University.

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Proteome approaches to characterize seed storage proteins related to ditelocentric chromosomes in common wheat (Triticum aestivum L.)

TL;DR: Changes in protein composition of wheat endosperm proteome were investigated in 39 ditelocentric chromosome lines of common wheat and high correlations in changes of protein intensities were observed among the proteins encoded by genes located in the homoeologous arms.
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Here there be dragons, a pre-roadmap construct for IoT service infrastructure

TL;DR: A precursor road mapping construct is developed which focuses on the service sector and supports 3rd generation road mapping techniques and utilizes the emerging IoT TSS technology base as a case study.
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Effects of chemical conjugation of L-leucine to chitosan on dispersibility and controlled release of drug from a nanoparticulate dry powder inhaler formulation

TL;DR: The conjugate nanoparticles were superior to those of unmodified chitosan in drug loading, entrapment efficiency, and controlled release profile and could be useful, after appropriate testing for biodegradability and toxicity, as an alternative carrier for lung drug delivery with enhanced aerosolization and prolonged drug release from nanoparticulate DPI formulations.
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Induction of depersonalization by the serotonin agonist meta-chlorophenylpiperazine.

TL;DR: There was a significant correlation between the induction of depersonalization and increase in panic, but not nervousness, anxiety, sadness, depression, or drowsiness, suggesting that serotonergic dysregulation may in part underlie depersonALization.
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The impact of blockchain technology on the tea supply chain and its sustainable performance

TL;DR: In this paper, the authors developed a conceptual model of a BCT-driven tea supply chain, which they analyzed using a partial least squares regression-based structural equation modelling method with data collected from 305 experts in India.