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Effect of Gram-positive bacteria on antibiotic resistance in Gram-negative bacteria

Willem et al. | Mar 12, 2024

Effect of Gram-positive bacteria on antibiotic resistance in Gram-negative bacteria

Antibiotics are one of the most common treatments for bacterial infections, but the emergence of antibiotic resistance is a major threat to the control of infectious diseases. Many factors contribute to the development of antibiotic resistance. One is bacterial conjugation from Gram-positive to Gram-negative bacteria where there is a transfer of resistance genes from Gram-positive to Gram-negative bacteria that could increase antibiotic resistance in the latter. In light of these observations, we decided to test whether Gram-negative bacteria that came into contact with Gram-positive bacteria had a higher resistance to the antimicrobial properties of spices than Gram-negative bacteria that did not come into contact with Gram-positive bacteria.

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Effects of Prolonged Azithromycin Therapy on Bacterial Resistance to Functionally Analogous Antibiotics

Gibbs et al. | Dec 04, 2020

Effects of Prolonged Azithromycin Therapy on Bacterial Resistance to Functionally Analogous Antibiotics

In this study, the authors investigate a potential case of cross antibiotic-resistance. Using swabs from an individual who received long-term treatments of azithromycin, they addressed the question of whether any bacteria in this individual might develop resistance to not only azithromycin, but also other antibiotics with similar structures. This study cleverly addresses the important issue of antibiotic resistance from a new and thoughtful approach.

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The Effectiveness of Different Palate Relievers Against a Hot Chili Pepper Sauce

Avendaño-Rodríguez et al. | Jun 11, 2016

The Effectiveness of Different Palate Relievers Against a Hot Chili Pepper Sauce

Cuisine with hot chili peppers can be tasty, but sometimes painful to consume because of the burning sensations caused by the capsaicin molecule. The authors wanted to find the palate reliever that decreases the burning sensation of capsaicin the most by testing water, soft drink, olive oil, milk, and ice-cream as possible candidates. The authors hypothesized that olive oil would be the best palate reliever as it is non-polar like the capsaicin molecule. The authors surveyed 12 panelists with low, medium, and high spice tolerances and found that across all levels of spice tolerance, milk and ice-cream were the best palate relievers and soft drink the worst.

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The Effects of Confinement on the Associative Learning of Gallus gallus domesticus

Jaworsky et al. | Dec 23, 2019

The Effects of Confinement on the Associative Learning of <em>Gallus gallus domesticus</em>

This study aimed to determine if confinement affects associative learning in chickens. The research found that the difference in time lapsed before chickens began to consume cottage cheese before and after confinement was significant. These results suggest that confinement distresses chickens, as it impairs associative learning without inducing confusion.

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The Effects of Ezetimibe on Triglyceride and Alanine Transaminase Reduction in Drosophila Melanogaster Model of Nonalcoholic Fatty Liver Disease (NAFLD)

Dania et al. | Apr 30, 2020

The Effects of Ezetimibe on Triglyceride and Alanine Transaminase Reduction in <i>Drosophila Melanogaster</i> Model of Nonalcoholic Fatty Liver Disease (NAFLD)

Nonalcoholic Fatty Liver Disease (NAFLD) is a condition where a surplus of triglycerides or fat are present in the liver. In this study, ezetimibe, a cholesterol lowering drug, was used to treat flies modeling NAFLD. Compared to the coconut oil fed flies that were transferred to the control medium, the flies transferred to the control medium treated with ezetimibe showed a decrease in their triglyceride and alanine transaminase level.

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The effect of activation function choice on the performance of convolutional neural networks

Wang et al. | Sep 15, 2023

The effect of activation function choice on the performance of convolutional neural networks
Image credit: Tara Winstead

With the advance of technology, artificial intelligence (AI) is now applied widely in society. In the study of AI, machine learning (ML) is a subfield in which a machine learns to be better at performing certain tasks through experience. This work focuses on the convolutional neural network (CNN), a framework of ML, applied to an image classification task. Specifically, we analyzed the performance of the CNN as the type of neural activation function changes.

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