BIOTECHNOLOGICAL ADVANCEMENTS AND CHALLENGES IN TEXTILE EFFLUENTS MANAGEMENT FOR A SUSTAINABLE BIOECONOMY: INDIAN CASE STUDIES

Biotechnological advancements and challenges in textile effluents management for a sustainable bioeconomy: Indian case studies

The textile industries role on imminent hazardous environmental impact has global attention.The remediation of textile effluent is often challenging because of the presence of a wide variety of pollutants like dyes, acids, bases, metal salts, Rubber Doormat and microorganisms.The use of biological recycling methods are contemplated to mitigate the

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LORETA current source density for duration mismatch negativity and neuropsychological assessment in early schizophrenia.

INTRODUCTION: Patients with schizophrenia elicit cognitive decline from the early phase of the illness.Mismatch negativity (MMN) has been shown to be associated with cognitive function.We investigated the current source density of duration mismatch negativity (dMMN), by using low-resolution brain electromagnetic tomography (LORETA), and neuropsycho

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A Novel Predictive Modeling for Student Attrition Utilizing Machine Learning and Sustainable Big Data Analytics

Student attrition poses significant societal and economic challenges, leading to unemployment, lower earnings, and other adverse outcomes for individuals and communities.To address this, predictive systems leveraging machine learning and big data aim to identify at-risk students early and intervene effectively.This study leverages big data and mach

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