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The authors looked at if there was any correlation between the phase of the moon and admissions for psychiatric concerns.

The authors looked the ability of sound sensors to predict clogged pipes when the sound intensity data is run through a machine learning algorithm.

The authors looked at variables and their patterns and how those contribute to the properties of X-ray binaries.

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 survey teenagers within the United States regarding the effect of social media use on sleep quality and attention span.

The authors looked at the ability of different machine learning algorithms to predict the level of financial corruption in different countries.

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

Pay is a widely debated factor in workplace motivation, influencing both incentives and job satisfaction. This work analyzed employee reviews across various industries to examine the relationship between pay importance and job satisfaction. Findings suggest that job satisfaction decreases as the importance of pay increases, particularly in construction, food, and finance industries, as well as among entry-level and experienced workers, though the results were not statistically significant.

The authors looked at different models of semantic segmentation to determine which may be best used in the future for segmentation of CT scans to help diagnose certain conditions.

Here the authors conducted a photometric analysis of Supernova (SN) 20234jvj. Through generating a light curve, they determined SN 2023jvj to be a Type Ia supernova located approximately 1.246e8 parasecs away from Earth.