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The authors used developed a machine learning tool for studying social media discourse surrounding use of tobacco and cannabis.

The authors looked at ways that seizures in patients with glioblastoma could be treated using C. elegans as a model system.

Determination of Penalty Kick Success in Soccer

The authors looked at the immunogenicity of a newly developed pneumococcal conjugate vaccine compared to a previously developed one. They found the newly developed vaccine did elicit an immune response.

The authors develop a machine learning method to reduce misclassification of objects in safety-critical applications such as medical diagnosis.

The authors computationally screened potential ALDH1 inhibitors, for use as potential cancer therapeutics.

Using machine learning to predict the risk of algae bloom

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.

The authors looked at different treatments to clean up rainwater collected at home. They found that chlorine treatment and treatment with hydrogen peroxide catalyzed by yeast showed similar potential for cleaning up contaminated rainwater, but that further studies are needed to better assess impact on specific contaminant levels still present.

This study investigated the impact of pH on the efficiency of calcium phosphate, used as a drug delivery agent.