Publications by authors named "V Nagaraju"

Advances in machine learning (ML) have led to applications in safety-critical domains, including security, defense, and healthcare. These ML models are confronted with dynamically changing and actively hostile conditions characteristic of real-world applications, requiring systems incorporating ML to be reliable and resilient. Many studies propose techniques to improve the robustness of ML algorithms.

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In this paper, a dual wavelength short near-infrared system is described for the detection of glucose levels. The system aims to improve the accuracy of blood glucose detection in a cost-effective and non-invasive way. The accuracy of the method is evaluated using real-time samples collected with the reference finger prick glucose device.

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Aim: The aim of the study was to develop microbial enrichments from the nitrifying microbial consortia and the environment for simultaneous removal of ammonia, nitrate, and sulfide in aquaculture systems at varied salinities.

Methods And Results: Sulfur and nitrogen metabolites are the major factors affecting the farmed aquatic animal species and deteriorate the receiving environments causing ecological damage. The present study reports the development of microbial enrichments from the nitrifying microbial consortia and the environment.

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Nearly 90% of cases of coccydynia can be managed with conservative medical treatment; the remaining 10% need other invasive modalities for pain relief, such as ganglion impar block (GIB) or radiofrequency ablation (RFA) of the ganglion impar. A systematic research was conducted of PubMed, MEDLINE, and Google Scholar to identify studies reporting pain relief in terms of visual analogue scale (VAS), or its counterparts, following GIB or RFA in coccydynia patients with the purpose to determine the efficacy of GIB and RFA of the ganglion impar in controlling pain in coccydynia patients. Seven studies were delineated, with a total of 189 patients (104 in GIB group and 85 in RFA group).

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Understanding of pesticide persistence and diffusion on the fresh vegetables are extremely important in food safety and decontamination process. In this study, we examine the persistence and diffusion behaviour of chlorpyrifos pesticide in five different species of vegetables. The chlorpyrifos pesticide was spiked on the vegetable surfaces and the extracted samples from peel and tissues were subjected to Gas Chromatography equipped with a Flame Photometric Detector (GC-FPD).

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