This study used machine learning models to examine which factors most influenced U.S. household energy consumption in 2020 using data from 18,496 households.
Read More...The influence of economic factors on United States household energy consumption in 2020
This study used machine learning models to examine which factors most influenced U.S. household energy consumption in 2020 using data from 18,496 households.
Read More...Large-scale brain network connectivity under anxiety induced by naturalistic story listening
This study found that anxiety induced by a suspenseful story increased communication between the brain’s salience, default mode, and central executive networks, with the central executive network acting as a bridge during peak tension. These findings suggest that anxiety alters large-scale brain connectivity patterns and may help inform future diagnostic tools and personalized treatments for anxiety disorders.
Read More...Effectiveness of different fabrics in protecting from ultraviolet rays
The authors looked at how different blends of synthetic and non-synthetic fabrics protected against UV radiation.
Read More...Differences in online reviews between different communities: An empirical study on Amazon and Goodreads
Online review platforms often provide different reviews on the same product, potentially confusing consumers. In this study, we found that the number of raters on Amazon is lower for the same book, while ratings on Amazon were higher than those on Goodreads. Furthermore, these differences in ratings and rater counts were larger for fiction books than for non‑fiction books.
Read More...Improper storage of sunscreen might decrease effectiveness
This study explored sunscreen storage temperature affects the efficacy of sunscreen to block UV light.
Read More...The decision-making process of an MLB batter: effects of feedback stimuli and anxiety on batting performance
This study examined whether findings from laboratory studies of baseball cognition also apply during real games. Using 2024 MLB data from 30 players, researchers analyzed batting performance under different levels of feedback and anxiety.
Read More...Algorithmic barriers: Investigating student perceptions of AI bias in subjective “culture fit” hiring
This study investigated perceptions of the emerging workforce toward the use of artificial intelligence in hiring, specifically for assessing subjective "culture fit." Through a mixed-methods survey of 150 high school and early-college students in Nepal, we found a significant disconnect between organizational adoption of AI and the profound skepticism of young job candidates, who express deep concerns about fairness, transparency, and the potential for AI to perpetuate systemic discrimination.
Read More...Leveraging transfer learning with convolutional neural networks for cardiovascular disease detection
This study shows the efficacy of leveraging transfer learning, specifically from residual networks, to detect CVDs and possible signs of CVDs. The findings indicate that leveraging transfer learning from residual networks alongside medical professionals is a highly promising approach for CVD detection and diagnosis, warranting further investigation.
Read More...The effects of a high-sucrose diet on the survival of Drosophila melanogaster from a bacterial infection
Excess sucrose consumption has been associated with several health problems, including inflammation and potential negative effects on immune function. However, the exact relationship between sucrose intake and immunity remains unclear, especially during bacterial infections. This study examined how sucrose intake affected the survival of fruit flies following oral infection with the bacterial pathogen Serratia marcescens.
Read More...The effect of chondroitin sulfate on the development of plants grown in roadside soil
Heavy metal contamination from transportation can damage soil and vegetation by increasing oxidative stress, disrupting enzymes, and impairing photosynthesis. This study investigated whether chondroitin sulfate (CS) could reduce the harmful effects of contaminated roadside soil on plant growth by binding with metal ions.
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