Publications by authors named "K B Ashok"

We identified a set of bias-corrected and downscaled Coupled Model Intercomparison Project 6 (CMIP6) models capable of accurately simulating the observed mean Indian summer monsoon rainfall, extreme rain events (EREs) and their respective interannual variability. The future changes in EREs projected by these models for four climate change scenarios-Shared Socioeconomic Pathways (SSPs), 1-2.6, 2-4.

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Type 1 diabetes (T1D) polygenic risk scores (PRS) are effective tools for discriminating T1D from other diabetes types and predicting T1D risk, with applications in screening and intervention trials. A previously published T1D Genetic Risk Score 2 (GRS2) is widely adopted, but challenges in standardization and accessibility have hindered broader clinical and research utility. To address this, we introduce GRS2x, a standardized and cross-compatible method for accurate T1D PRS calculation, demonstrating genotyping and reference panel independent performance across diverse datasets.

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Green synthesis of metal nanoparticles using plant extracts has emerged as an eco-friendly alternative to conventional methods, offering potential applications in biomedicine and environmental remediation. This study demonstrates the successful biosynthesis of silver nanoparticles (SNPs) and gold nanoparticles (GNPs) using Euphorbia acaulis leaf extract as a reducing and capping agent. The nanoparticles were thoroughly characterized using UV-Vis spectroscopy, HR-SEM, EDX, TEM, AFM, XRD, and FTIR analyses, confirming their successful synthesis and revealing their predominantly spherical morphology with sizes ranging from 1 to 100 nm.

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The Arabian Peninsula (AP) has been reported to experience increasing drought in recent decades. With this background, this study evaluates best performing Climate Model Intercomparison Project 6 (CMIP6) Global Climate Models (GCMs) for historical (1985-2014) simulations and future drought projections across the AP until 2100, using the standardized precipitation index (SPI) and standardized precipitation-evapotranspiration index (SPEI). We assess uncertainties from model differences, scenarios, timescales, and methods.

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Non-steroidal anti-inflammatory drugs (NSAIDs) have been researched for their capacity to reduce cancer incidence, primarily due to their COX-2 inhibition properties. However, concerns have arisen regarding the precision of their targeting abilities. Nanoparticle approaches are revolutionizing cancer treatment by enabling targeted drug delivery, which enhances the efficacy and reduces the toxicity of chemotherapy.

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