
The authors evaluated the effect of concentration and variant of N-Acetylcysteine in hydrolyzing mucus.
Read More...The effects of varied N-acetylcysteine concentration and electronegativity on bovine mucus hydrolysis
The authors evaluated the effect of concentration and variant of N-Acetylcysteine in hydrolyzing mucus.
Read More...Identifying anxiety and burnout from students facial expressions and demographics using machine learning
The authors used machine learning to predict the presence of anxiety and burnout in students based on facial expressions and demographic information.
Read More...A 1D model of ultrasound waves for diagnosing of hepatomegaly and cirrhosis
The authors created a 1D model to diagnose hepatomegaly and cirrhosis via ultrasound of the liver.
Read More...Observing food and density effects on the reproductive strategies of Heterandria formosa
The authors looked at the impact of different harvest and feeding treatments on Heterandria formosa over three generations as a model for changes in marine ecosystems.
Read More...Investigating the impact of short-chain fatty acids on myofiber dynamics and insulin sensitivity
The authors looked at the impacts of short-chain fatty acids on muscle fiber formation as well as insulin sensitivity using a model of mouse myoblasts.
Read More...The effect of common food preservatives on the growth of bacteria
Here the authors aimed to find the best preservative combinations to stop bacterial growth in food, using data modeling and biochemical experiments. They discovered that single preservatives are often not enough, with varying effectiveness against different bacteria, and suggest future research into combining preservatives for better results.
Read More...Investigating intertidal sediment sorting and median particle diameter variation on an eroding beach face
The authors looked at beach nourishment (a way to combat erosion on coasts) and resulting grain size distribution. Their work is important to understand the dynamics of erosion and it's relation to wave action and the implications this has for efforts to mitigate coastal erosion.
Read More...Using two-step machine learning to predict harmful algal bloom risk
Using machine learning to predict the risk of algae bloom
Read More...The effects of cochineal and Allura Red AC dyes on Escherichia coli and Bacillus coagulans growth
Here the authors aimed to compare the effects of artificial Allura Red AC dye and natural cochineal dye on the growth of Escherichia coli and Bacillus coagulans bacteria. Their research found that only Allura Red AC dye significantly affected bacterial growth, specifically amplifying E. coli growth. Based on their results, they suggest that Allura Red AC dye may increase the growth of E. coli bacteria within the human gut.
Read More...Predictive modeling of cardiovascular disease using exercise-based electrocardiography
The authors looked factors that could lead to earlier diagnosis of cardiovascular disease thereby improving patient outcomes. They found that advances in imaging and electrocardiography contribute to earlier detection of cardiovascular disease.
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