The authors monitored water quality over time looking for influences from construction and deforestation.
Read More...A low-cost, Arduino-based system for real-time abiotic monitoring of a local watershed
The authors monitored water quality over time looking for influences from construction and deforestation.
Read More...Legacy mercury, reservoir dynamics, and dredging effects on methylmercury in San Francisco Bay
This study analyzes over two decades of monitoring data (1999-2022) to investigate how legacy mining, reservoir water releases, and dredging activities influence toxic methylmercury (MeHg) levels in San Francisco Bay. The findings reveal a significant delayed correlation between river flow and San Francisco Bay MeHg, and counter to the authors' hypothesis, a strong association between increased MeHg concentrations in the bay and both total annual dredging volume and beneficial sediment reuse / upland sediment disposal.
Read More...Social and psychosocial factors associated with mood states among adolescents: A questionnaire-based study
The authors assess the relationship between supportive family environments and internalized stigma in adolescents.
Read More...Evaluation of hepatotoxicity from excessive acetaminophen: physiological and histological changes
The authors looked at how acetaminophen may cause liver damage by looking at both serum level markers of liver damage as well as liver pathology.
Read More...Demographic trends of alcohol and marijuana co-use: examining age, gender, and race/ethnicity trends
This study aims to examine the demographic factors that predict patterns of co-use of alcohol and marijuana in the United States. Significant findings were identified using data from the National Survey on Drug Use and Health (2012-2022), showing that there were significant differences in the prevalence of substance use among demographic groups, with young adults showing the highest co-use of alcohol and marijuana.
Read More...Comparative study on three machine learning models in novel autonomous drone-based detection of invasive plant Brassica nigra
Autonomous drone imaging combined with machine learning offers a promising approach for early detection of invasive species. In this study, students built an autonomous drone and compared three models: CNN, SGDC, and XGBoost, to identify Brassica nigra from aerial footage. Their results show that CNNs most effectively recognize key visual features, demonstrating strong potential for supporting conservation and invasive plant management.
Read More...Eye color, visual acuity and photophobia: How eye color affects light sensitivity
This study examined whether eye color affects photophobia and vision in elementary school students and staff, finding no significant relationship between eye color, light sensitivity, or visual acuity. However, photophobia was common across age groups, highlighting the need for greater awareness of light sensitivity in learning environments.
Read More...Influence of induction heating on static recrystallization kinetics of AISI 4130 steel
This article investigates whether induction heating can speed up static recrystallization in AISI 4130 steel compared with traditional radiant heating. It was found that induction-heated samples recrystallized faster, softened more quickly, and showed earlier microstructural changes like grain nucleation and pearlite spheroidization, suggesting induction heating could be a more efficient alternative for industrial metal heat treatments.
Read More...Differential physiological response of microalgae exposed to petroleum- and bio-based microplastics
The authors test the effect of petroleum-based and bio-based microplastics on the growth of two microalgae species.
Read More...Protein kinases in phagocytosis (phagocytotic kinome): A promising biomarker set in cancer therapeutics
This study analyzes genetic alterations and expression patterns of protein kinases involved in phagocytosis across multiple cancers using TCGA data.
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