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The authors studied the effect of potassium bromate, a common food additive, to cell viability.

α-amylase breaks down starch into glucose, which can cause blood sugar spikes and increase the risk of type II diabetes. This study tested natural extracts from cassia cinnamon and green tea as alternatives to synthetic inhibitors like acarbose, which can be costly and cause side effects.

The authors test symbiotic relationships among cyanobacteria species to generate more robust cultures for potential biofuel production.

The authors looked at how activation of the sympathetic nervous system impacts short-term memory.

The authors looked at the impact of calcium on iron absorption in mealworms, hypothesizing that calcium would inhibit iron absorption.

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

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.

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 compare air quality in the presence and absence of a living wall in a high school hallway in Brooklyn, NY.

As AI becomes more integrated into healthcare, public trust in AI-developed treatment plans remains a concern, especially for emotionally charged health decisions. In a study of 81 community college students, AI-created treatment plans received lower trust ratings compared to physician-developed plans, supporting the hypothesis. The study found no significant differences in AI trust levels across demographic factors, suggesting overall skepticism toward AI-driven healthcare.