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The authors looked at how the length of an audio clip used of a song impacted the ability to properly classify it by musical genre.

The authors combine fine needle aspiration biopsy and machine learning algorithms to develop a breast cancer detection method suitable for resource-constrained regions that lack access to mammograms.

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.

The luxury market has grown through digital marketing, with many brands benefiting from exclusivity, which limits product availability. While exclusivity boosts sales, it may negatively affect consumers' mental health. This study of 129 respondents explored the main motivation for purchasing luxury goods and connection to mental health.

The authors test the effect of test score comparison on the self-efficacy of adolescents versus adults.

The authors examine the relationships between race, racist beliefs, and perceptions of beauty across cultures and generations.

Black patients tend to have better health outcomes when cared for by Black physicians, yet Black doctors make up only 5% of U.S. physicians, despite Black people comprising 14% of the population. This analysis of data from Florida medical schools showed a higher enrollment of Black first-year students (13.5%) compared to the national average (9%), and a national increase from 6% in 2013 to 9% in 2021, aligning with the rise of social justice movements. Increasing Black medical student enrollment could reduce health disparities and improve outcomes for Black communities.

Here, the authorized analyzed data from the Florida Department of Education Office of Safe Schools regarding disciplinary outcomes in Collier County public schools. They reported that Black Students were more likely to receive both in-school and out-of-school suspensions than White students, which they concluded suggests racial inequities in school discipline that requires addressing as a society.

Middle school math forms the basis for advanced mathematical courses leading up to the university level. Large language models (LLMs) have the potential to power next-generation educational technologies, acting as digital tutors to students. The main objective of this study was to determine whether LLMs like ChatGPT, Bard, and Llama 2 can serve as reliable middle school math tutoring assistants on three tutoring tasks: hint generation, comprehensive solution, and exercise creation.

The authors investigate how well AI-detection machine learning models can detect real versus AI-generated art across different art styles.