Publications by authors named "A V N Ashok Kumar"

This detailed study examines the complex role of the SOX family in various tumorigenic contexts, offering insights into how these transcription factors function in cancer. As the study progresses, it explores the specific contributions of each SOX family member. The significant roles of the SOX family in the oncogenic environment are well-recognized, highlighting a range of regulatory mechanisms that influence tumor progression.

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Purpose Of Review: The review aims to address the knowledge gap and promote the widespread adoption of quinoa as a functional food for improving metabolic health. By presenting a comprehensive overview of its nutritional profile and bioactive components, the review aims to increase consumers' awareness of the potential therapeutic benefits of incorporating quinoa into diets.

Recent Findings: Recent studies have highlighted the diverse range of bioactive compounds in quinoa, such as phytosterols, saponins, phenolic acids, phytoecdysteroids, and betalains.

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User satisfaction with Assistive Technology (AT) is one of the crucial factors in the success of any AT service. The current study aimed to estimate satisfaction with AT and the reasons for dissatisfaction and unsuitability among persons with functional difficulties in India. Using the WHO Rapid Assistive Technology Assessment tool, a cross-sectional study was conducted in eight districts, representing four zones of India.

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Diffusion-limited kinetics is a key mechanistic debate when consecutive photoelectron transfer (conPET) is discussed in photoredox catalysis. In-situ generated organic photoactive radicals can access catalytic systems as reducing as alkaline metals that can activate remarkably stable bonds. However, in many cases, the extremely short-lived transient nature of these doublet state open-shell species has led to debatable mechanistic studies, hindering adoption and development.

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Objective: This study examined economic inequality in coverage of selected maternal and child healthcare (MCH) indicators in India and its states over the last 15 years.

Design: The study analysed last three rounds of the National Family Health Survey data, conducted during 2005-2006, 2015-2016 and 2019-2021. Bivariate analyses, ratio of richest to poorest, slope index of inequality (SII) and multivariate binary logistic regression analyses were used to examine the coverage as well as inequalities in the outcome indicators for India and its states and at district level.

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