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Institution

North Eastern Regional Institute of Science and Technology

EducationItanagar, India
About: North Eastern Regional Institute of Science and Technology is a education organization based out in Itanagar, India. It is known for research contribution in the topics: Population & Raman spectroscopy. The organization has 813 authors who have published 1429 publications receiving 16122 citations.


Papers
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Journal ArticleDOI
TL;DR: This review focuses on resources, production, detection and control measures of aflatoxins to ensure food and feed safety and provides knowledge on aflatoxin toxicity to help in ensure food safety.
Abstract: The aflatoxin producing fungi, Aspergillus spp., are widely spread in nature and have severely contaminated food supplies of humans and animals, resulting in health hazards and even death. Therefore, there is great demand for aflatoxins research to develop suitable methods for their quantification, precise detection and control to ensure the safety of consumers’ health. Here, the chemistry and biosynthesis of the mycotoxins is discussed their occurrence and the health hazards to humans and livestock. This review focuses on resources, production, detection and control measures of aflatoxins to ensure food and feed safety. The results presented herein will facilitate health-conscious consumers and for experts, while providing knowledge on new and innovative approaches to ensure food safety and meet the future demands of the increasing population by decreasing the incidence of outbreaks by aflatoxins.

485 citations

Journal ArticleDOI
TL;DR: The findings reveal that SNSs’ participation motivations positively influence customer participation, which in turn significantly affects brand trust and brand loyalty, which contributes as a mediator between customer participation andbrand loyalty on social media brand communities.

373 citations

Journal ArticleDOI
TL;DR: This paper reviews the application of neural networks, fuzzy sets, genetic algorithms, simulated annealing, ant colony optimization, and particle swarm optimization to four machining processes—turning, milling, drilling, and grinding.
Abstract: Machining is one of the most important and widely used manufacturing processes. Due to complexity and uncertainty of the machining processes, of late, soft computing techniques are being preferred to physics-based models for predicting the performance of the machining processes and optimizing them. Major soft computing tools applied for this purpose are neural networks, fuzzy sets, genetic algorithms, simulated annealing, ant colony optimization, and particle swarm optimization. The present paper reviews the application of these tools to four machining processes—turning, milling, drilling, and grinding. The paper highlights the progress made in this area and discusses the issues that need to be addressed.

327 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the trends in reference crop evapotranspiration (ET0) on monthly and annual time scales in Iran using the globally accepted FAO Penman Monteith method.

322 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202220
2021181
2020206
2019150
2018137