The authors test the effect of test score comparison on the self-efficacy of adolescents versus adults.
Read More...Upward social comparison on standardized test performance in adolescents and adults
The authors test the effect of test score comparison on the self-efficacy of adolescents versus adults.
Read More...The effect of adverse childhood experiences on e-cigarette usage in people aged 18–30 in the US
Recently, e-cigarette usage has been increasing rapidly. Previous research has found that adverse
childhood experiences (ACEs) are correlated to cigarette usage. However, there is limited data exploring if ACEs affect vaping. Therefore, in this work, we investigated the effects of ACEs on e-cigarette usage and hypothesize that witnessing vaping in the house and facing ACEs would increase e-cigarette usage while education on the dangers of vaping would decrease e-cigarette usage. We found that different types of ACEs had different correlations with e-cigarette usage and that education on the dangers of vaping had no effect on e-cigarette usage.
Chlorpyrifos exposure in mice leads to altered expression of key neurodevelopmental proteins
Impacts of childhood adversity on relationships: Expressions of affection and social connection
The authors survey adults to assess how childhood adversity may impact adult relationships and ways of giving or receiving affection.
Read More...Investigating the impact of short-chain fatty acids on myofiber dynamics and insulin sensitivity
The authors looked at the impacts of short-chain fatty acids on muscle fiber formation as well as insulin sensitivity using a model of mouse myoblasts.
Read More...Enhanced Iron and Manganese Removal Using Nanocomposite CA/PVP Membranes Doped with CNC, CNF, and HNT
We developed new eco-friendly membranes enriched with natural nanomaterials to clean iron and manganese from drinking water. Some nanocomposite membranes achieved over 95% metal removal while maintaining water flux, suggesting improved performance compared to the undoped control group.
Read More...Forecasting air quality index: A statistical machine learning and deep learning approach
Here the authors investigated air quality forecasting in India, comparing traditional time series models like SARIMA with deep learning models like LSTM. The research found that SARIMA models, which capture seasonal variations, outperform LSTM models in predicting Air Quality Index (AQI) levels across multiple Indian cities, supporting the hypothesis that simpler models can be more effective for this specific task.
Read More...The impact of COVID-19 quarantine on physical activities in Basra, Iraq: A cross-sectional study
As the COVID-19 pandemic continues, the authors noticed a change in the physical activity of many people, as well as a change in the type of physical activity they practice. Here, the authors used a cross-sectional survey of 150 participants from the province of Basra in Iraq. They found an overall decrease in the number of days of physical activity for participants along with an increasing proportion of at-home exercises compared to other activities that are performed inside sports clubs during the pandemic.
Read More...Combating Insulin Resistance Using Medicinal Plants as a Supplementary Therapy to Metformin in 3T3-L1 Adipocytes: Improving Early Intervention-Based Diabetes Treatment
A primary cause of diabetes is insulin resistance, which is caused by disruption of insulin signal transduction. The objective of this study was to maximize insulin sensitivity by creating a more effective, early intervention-based treatment to avert severe T2D. This treatment combined metformin, “the insulin sensitizer”, and medicinal plants, curcumin, fenugreek, and nettle.
Read More...The impact of light pollution on astrophotography and visual astronomy in varying environments