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The study examined whether high school boys’ water polo teams located near strong programs had similar season performances during the 2024–2025 season.

Here the authors investigate the relationship between environmental pollutants and cancer incidence rates across various geographical clusters in the United States from 2018 to 2020. By calculating Pearson correlation coefficients and t-statistics on CDC and EPA data, they demonstrated a strong correlation between specific pollutants and various cancers, offering insights that could help explain regional disparities in cancer rates and aid in preventing premature deaths.

Physics‑Informed Neural Networks (PINNs) offer a promising way to estimate blood‑flow behavior in arteries, especially near the vessel wall where traditional methods struggle. In this study, students tested how sensor density and placement affect PINN accuracy in modeling carotid artery flow and found that accuracy improves up to a moderate sensor density and depends strongly on how close sensors are placed to the arterial wall. Applying the optimized configuration to a patient‑specific carotid model produced velocity predictions closely matching computational fluid dynamics results, highlighting PINNs’ potential for future personalized cardiovascular assessment.

This study compares traditional and discovery-based instructional methods in online middle school mathematics education. Findings show that discovery-based learning significantly improves students’ academic performance and attitudes, highlighting the value of inquiry-driven instruction for enhancing both understanding and motivation.

The authors evaluated the effectiveness of common stress-relief strategies used by high schoolers.

This study aimed to combat widespread hydrocarbon residue persistently polluting global water sources by developing and testing the ability of modified iron(III) oxide-hydroxide (FeO(OH)) nanoparticles to remove small amounts of motor oil from freshwater

The authors used developed a machine learning tool for studying social media discourse surrounding use of tobacco and cannabis.

The authors looked at using computer vision to evaluate the degree of exotropia in individuals with strabismus.

This study analyzes genetic alterations and expression patterns of protein kinases involved in phagocytosis across multiple cancers using TCGA data.

The authors looked at common themes of videos created by 10 different dental influencers.