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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 assessed the correlation between the stock, commodity, and consumer markets with the housing market.

The authors looked at the potential of different phenolic compounds to reduce oxidative stress (i.e., act as antioxidants).

The authors test the effects of pH level on different kinds of dental cement to model the long-term effects of reflux-induced stomach acid exposure.

The authors use computational methods to compare tau acetylation to the better studied tau phosphorylation in Alzheimer's disease and then design and computationally test a new drug to prevent abnormal post-translational modifications of tau.

The authors used RNA-seq datasets to assess the effect of CDK7 inhibition on transcriptional pathways in castration-resistant prostate cancer cells.

The authors test the antioxidant content of Taiwanese high mountain teas grown in or processed under differing conditions.

Pathogenic bacteria cause major economic losses in agriculture, and widespread antibiotic use has led to increasing resistance. This study tested whether a low-cost DIY method could produce antibacterial colloidal silver effective against both Gram-negative and Gram-positive plant pathogens.

The authors investigated the impact of light pollution on astrophotography.

Here the authors investigated the relationship between offensive play-calling styles and scoring success within the NFL's red zone by analyzing play-by-play data and expected points metrics. Their findings suggest that a conservative approach to play design and execution is more strongly associated with maximizing efficiency and point-value gains than aggressive strategies.