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The authors studied the ability of deep learning models to predict droughts in the midwestern United States.

The authors studied the response of various construction materials to UV solar radiation and heat.

The authors assess a genetic variant within a well-known interaction partner of huntingtin that has been linked to modifying the age of onset of Huntington's disease.

The authors looked at the impact of vitamin A (retinol) on growth of S. epidermidis (most abundant bacterium on the skin) and E. coli (found in the gut microbiome, but not on the skin).

The authors looked at how activation of the sympathetic nervous system impacts short-term memory.

The authors looked the ability to predict future stock prices using various machine learning models.

The authors used Monte Carlo simulations to assess the impacts of various factors on neonatal seizure risk.

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

The authors looked at soil quality of former military sites where chemical disposal was known to have occurred. Along with testing for heavy metals, the authors also looked for the presence (and number) of earthworms present in topsoil samples as a marker of soil health.

Investigation of resonant vibration using cello model