Publications by authors named "N M Shetty"

Viral infections are characterized by dispersal from an initial site to secondary locations within the host. How the resultant spatial heterogeneity shapes within-host genetic diversity and viral evolutionary pathways is poorly understood. Here, we show that virus dispersal within and between the nasal cavity and trachea maintains diversity and is therefore conducive to adaptive evolution, whereas dispersal to the lungs gives rise to population heterogeneity.

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Background: The Predicting Risk of CVD Events (PREVENT) equations were developed to address limitations of the Pooled Cohort Equations (PCEs) in predicting atherosclerotic cardiovascular disease (ASCVD) risk. The comparative effectiveness of the PREVENT equations versus the PCEs in predicting mortality risk remains unknown.

Objectives: The purpose of this study was to compare the risk discrimination value of the PREVENT equations with the PCEs for predicting mortality.

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This study aimed to develop an advanced ensemble approach for automated classification of mental health disorders in social media posts. The research question was: can an ensemble of fine-tuned transformer models (XLNet, RoBERTa, and ELECTRA) with Bayesian hyperparameter optimization improve the accuracy of mental health disorder classification in social media text. Three transformer models (XLNet, RoBERTa, and ELECTRA) were fine-tuned on a dataset of social media posts labelled with 15 distinct mental health disorders.

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India's road construction is vital for its infrastructure growth, requiring approximately 20,000 tons of high-quality aggregates per kilometer - materials that are increasingly scarce, leading to higher costs and delays. The industrial sector, a cornerstone of the Indian economy, also struggles with waste management. Earlier studies suggested that industrial waste can be used in road construction materials however, the radiological considerations were not focused.

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The Pooled Cohort Equations (PCEs), developed by the American Heart Association (AHA) and American College of Cardiology, have been widely used since 2013 to estimate 10-year atherosclerotic cardiovascular disease (ASCVD) risk and guide statin therapy. Recently, the AHA introduced the Predicting Risk of CVD EVENTs (PREVENT) equations to improve ASCVD risk estimation. However, the effect of using PREVENT instead of PCEs on risk classification and statin eligibility remains unclear.

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