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This project investigated whether previously identified genetic risk factors in non-Korean populations were associated with high gastric cancer incidence rates in Koreans.

This manuscript explores the performance of five different machine learning models in classifying brain tumors from a dataset of MRI scans. The authors find that several of the models showed >90% accuracy. Thus, the authors suggest that machine learning models demonstrate potential for effective implementation in clinical settings, including as a diagnostic tool that can be used to complement the expertise of neuroradiologists.

This study investigates how the hyperparameters epochs and batch size affect the classification accuracy of a convolutional neural network (CNN) trained on pulsar candidate data. Our results reveal that accuracy improves with increasing number of epochs and smaller batch sizes, suggesting that with optimized hyperparameters, high accuracy may be achievable with minimal training. These findings offer insights that could help create more efficient machine learning classification models for pulsar signal detection, with the potential of accelerating pulsar discovery and advancing astrophysical research.

The authors looked at the importance of different point breakdowns needed to win in a game of tennis.

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.