The authors looked at common themes of videos created by 10 different dental influencers.
Read More...Analysis of content created by dental influencers on TikTok and its impact on society
The authors looked at common themes of videos created by 10 different dental influencers.
Read More...Water tubing injury patterns among different demographics: A NEISS study
The authors looked at how injuries sustained during water tubing, that require treatment at an emergency department, differ between males and females.
Read More...The impact of Red 40 artificial food dye on the heart rate of Daphnia magna
In this study, potential physiological effects of Red 40 food dye, found in many different food products, are tested using Daphnia magna, a small freshwater crustacean.
Read More...The determinants and incentives of corporate greenhouse gas emission reduction
This study used hand-collected Greenhouse gas (GHG) emissions data from the Environmental Protection Agency (EPA) and aimed to understand the determinants and incentives of GHG emissions reduction. It explored how companies’ financials, Chief Executive Officer (CEO) compensation, and corporate governance affected GHG emissions. Results showed that companies reporting GHG emissions were wide-spread among the 48 industries represented by two-digit Standard Industrial Classification (SIC) codes.
Read More...Chlorpyrifos exposure in mice leads to altered expression of key neurodevelopmental proteins
Testing the Impact of a Geometric Curvature Variable on the Accuracy of Econometric Forecasting Models
Classical financial forecasting models often fail to capture the complex, nonlinear dynamics of the stock market. This study demonstrates that incorporating a single variable to represent the 'geometric curvature' of a time series dramatically improves the accuracy of standard econometric forecasts. Our findings highlight that geometric properties are a significant predictive factor, opening new avenues for more powerful financial modeling.
Read More...Comparative data analysis on the effect of socioeconomic factors on math proficiency
This study examines how socioeconomic status (SES) influences student mathematics achievement across countries by conducting multiple regression analyses to the Trends in International Mathematics and Science Study (TIMSS) 2019 dataset.
Read More...Computational evidence for differential endocrine disruption by DEHP and PET via estrogen receptor beta binding
The authors demonstrate computationally that two types of nanoplastics can bind to estrogen receptor beta and potentially disrupt endocrine systems.
Read More...Environmental contributors of asthma via explainable AI: Green spaces, climate, traffic & air quality
This study explored how green spaces, climate, traffic, and air quality (GCTA) collectively influence asthma-related emergency department visits in the U.S using machine learning models and explainable AI.
Read More...Obscurity of eyebrows influences recognition of human emotion and impacts older adolescents
Here, seeking to better understand how facial features provide important visual cues to help convey emotions, the authors evaluated the accuracy and reaction time of participants in regards to experimental photographs where a person's eyebrows were obscured and ones where they were not. Their findings revealed that removing eyebrows resulted in a significant decrease in a participant's ability to recognize anger, with adolescents most likely to misidentify emotions.
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