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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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New age orientalism: Ayurvedic ‘wellness and spa culture’

TL;DR: The branding of ayurveda as a market strategy for the health consumer has become an important factor in the creation of orientalist desire as mentioned in this paper, using Vedic Village as a case.
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A multi-criteria analysis of coal-based power generation in Bangladesh

TL;DR: In this article, the authors identified and analyzed the predominant factors related to coal-based power generation in Bangladesh and assessed their relative importance using an Analytical Hierarchy Process based on expert judgments.
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Crossing the Valley of Death—An Integrated Framework and a Value Chain for Emerging Technologies

TL;DR: An integrated technology-push and market-pull framework, a value chain model for crossing the valley of death (VOD—the gap between laboratory and market) for emerging technologies based on primary and secondary data analyses, and a survey conducted on European research and development projects are developed.
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Social media users’ online subjective well-being and fatigue: A network heterogeneity perspective

TL;DR: In this article, the authors explored the associations between specific aspects related to network heterogeneity and social media fatigue for social media users in the United States of America (USA), and examined the mediating effect of network heterogeneity on the association between users' online subjective well-being (OSWB), privacy concerns and self-disclosure are positively correlated with fatigue.
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Psychological and behavioral outcomes of social media-induced fear of missing out at the workplace

TL;DR: In this paper, a theoretical model based on the associations among individual tendencies (exhibitionism and voyeurism), fear of missing out (FoMO), and individual-level psychological (compulsive use of social media) and behavioral (work performance decrement and procrastination) outcomes was proposed to understand the drivers and outcomes of such behaviour.