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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

Social media, especially among adolescents, has become a popular communication tool, but its link to negative mental health outcomes is a growing concern. This study analyzed public comments on Lizzo's social media, focusing on the nature of praise and criticism.

Pediatric cancers pose unique challenges due to their rarity and distinct biological factors, emphasizing the need for accurate survival prediction to guide treatment. This study integrated generative AI and machine learning, including synthetic data, to analyze 9,184 pediatric cancer patients, identifying age at diagnosis, cancer types, and anatomical sites as significant survival predictors. The findings highlight the potential of AI-driven approaches to improve survival prediction and inform personalized treatment strategies, with broader implications for innovative healthcare applications.

The authors looked at variables associated with identity fraud in the US. They found that national unemployment rate and online banking usage are among significant variables that explain identity fraud.

The authors looked at hydrogen gas production and how reaction temperature, concentration and alkaline solution used impacted the overall reaction with silicon. They found that all alkaline solutions tested would be viable options for using silicon waste to produce hydrogen gas to be used a renewable energy source.