The authors survey teenagers within the United States regarding the effect of social media use on sleep quality and attention span.
Read More...Gender differences in social media, sleep, and cognition in U.S. teens
The authors survey teenagers within the United States regarding the effect of social media use on sleep quality and attention span.
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...Associations between fentanyl usage and social media use among U.S. teens
Here the authors aimed to understand factors influencing adolescent fentanyl exposure, hypothesizing a positive association between social media usage, socioeconomic factors, and fentanyl abuse among U.S. teens. Their analysis of the Monitoring the Future dataset revealed that a history of suspension and use of marijuana or alcohol were linked to higher fentanyl use, and while not statistically significant, a notable positive correlation between social media use and fentanyl frequency was observed.
Read More...Simple solving heuristics improve the accuracy of sudoku difficulty classifiers
The Mount Laurel doctrine: A case study in housing affordability and the labor market in New Jersey
The authors explored the effects of the Mount Laurel Doctrine on housing affordability, unemployment rate, and civilian labor force in Burlington County, New Jersey compared to nearby counties.
Read More...Investigating the connection between free word association and demographics
Utilization of neural network to analyze Free Word Association to predict accurately age, gender, first language, and current country.
Read More...Advancing pediatric cancer predictions through generative artificial intelligence and machine learning
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.
Read More...Does emotion regulation moderate the relationship between self-esteem and social desirability?
The authors investigate the relationship between self-esteem, social desirability, and emotion regulation in children and adolescents.
Read More...Uncovering the hidden trafficking trade with geographic data and natural language processing
The authors use machine learning to develop an evidence-based detection tool for identifying human trafficking.
Read More...Do self-expression values affect global jazz popularity? An analysis of postmaterialism and political activity
Jazz music is a unique American art form that has spread around the world. Iyer and Iyer study this spread through a computational sociology project examining how jazz popularity is correlated with postmaterialism (an ideology that values self-expression) and political activity.
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