A review on current advances in machine learning based diabetes prediction

Jaiswal, Varun and Negi, Anjli and Pal, Tarun (2021) A review on current advances in machine learning based diabetes prediction. Primary Care Diabetes, 15 (3). pp. 435-443. ISSN 17519918

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Abstract

The aquatic ecosystem is under threat due to the continuous inlet of various emerging contaminants affecting the
inhabiting organisms. The Silica nanoparticles (SiNPs) are among the most abundantly produced nanoparticles
globally posing a threat to the aquatic organisms because of their entry into aquatic ecosystem through various
point and nonpoint sources. In this work, we report the toxicological impacts of SiNPs on fresh water snail Pila
virens (P.virens) as a biomonitor. The acute toxicity of SiNPs on P. virens was performed in a 96 h static renewal tests. The median lethal concentration of SiNPs for 96 h on P. virens is 366.92 μg/L. The P. virens were exposed to 165 μg/L for 24 and 48 h respectively shown a significant increase in lipid peroxidation, protein carbonyl, su- peroxide dismutase and reduction in total glutathione content in comparison to their controls. The fresh water edible snail P. virens serve as model organisms for other engineered nanomaterials toxicity.

Item Type: Article
Subjects: AC Rearch Cluster
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 27 Dec 2023 11:22
Last Modified: 27 Dec 2023 11:22
URI: https://ir.vignan.ac.in/id/eprint/708

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