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Investigating toxicity and antimicrobial properties of silver nanoparticles in Escherichia coli and Drosophila melanogaster

Ghosh et al. | Dec 01, 2025

Investigating toxicity and antimicrobial properties of silver nanoparticles in <em>Escherichia coli</em> and <em>Drosophila melanogaster</em>
Image credit: Ghosh and Hendricks

This paper looks at the antibacterial and toxic effects of silver nanoparticles (AgNPs) on Escherichia coli bacteria and Drosophila melanogaster fruit flies. They modified the AgNPs size, concentration, and surface coating to determine the effects on each of the organisms. For both organisms, increased AgNP concentration demonstrated increased toxicity but particle size and surface coating had opposing effects.

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Analyzing market dynamics and optimizing sales performance with machine learning

Kamat et al. | May 31, 2025

Analyzing market dynamics and optimizing sales performance with machine learning

This study uses interpretable machine learning models, lasso and ridge regression with Shapley analysis, to identify key sales drivers for Corporación Favorita, Ecuador’s largest grocery chain. The results show that macroeconomic factors, especially labor force size, have the greatest impact on sales, though geographic and seasonal variables like city altitude and holiday proximity also play important roles. These insights can help businesses focus on the most influential market conditions to enhance competitiveness and profitability.

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