Publications by authors named "S V P Vattikuti"

Aflatoxins (AFs), produced by fungi, are highly hazardous and classified as mycotoxins. Controlling their levels is of significant concern. This group consists of 20 fungal metabolites, all structurally derived from difuranocoumarin.

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We developed an inherently interpretable multilevel Bayesian framework for representing variation in regression coefficients that mimics the piecewise linearity of ReLU-activated deep neural networks. We used the framework to formulate a survival model for using medical claims to predict hospital readmission and death that focuses on discharge placement, adjusting for confounding in estimating causal local average treatment effects. We trained the model on a 5% sample of Medicare beneficiaries from 2008 and 2011, based on their 2009-2011 inpatient episodes (approximately 1.

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Article Synopsis
  • The increasing rates of cancer highlight the urgent need for more accurate and rapid diagnostic methods, as traditional techniques often come with complexities and high costs.
  • Monitoring tumor markers is a promising strategy for early detection and prognosis, as their levels increase significantly in the presence of tumors, helping healthcare professionals make informed decisions.
  • This review focuses on recent advancements in electrochemical immunosensors for detecting tumor markers, while also discussing the challenges and future directions in this area of research.
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Sunlight-powered photocatalysts made from CeO nanosized particles and g-CN nanostructures were produced through a thermal decomposition process with urea and cerium nitrate hexahydrate. The preparation of g-CN, CeO, and a binary nanostructured g-CN/CeO photocatalyst was done through a facile thermal decomposition method. The structural properties were analyzed using powder X-ray diffraction, scanning electron microscopy, high-resolution transmission electron microscopy, energy dispersive X-ray spectroscopy, and X-ray photoelectron spectroscopy (XPS).

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Graphitic carbon nitride (CN) is a cost-effective and easily synthesized supercapacitor electrode material. However, its limited specific capacity has hindered its practical use. To address this, we developed a binary nanostructure by growing nanosized CoO particles on CN.

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