The authors studied bacterial contamination of the New York City transit system, as well as the effectiveness of hand washing and hand sanitizer.
Read More...Bacterial contamination on New York City transit and the effectiveness of hand hygiene
The authors studied bacterial contamination of the New York City transit system, as well as the effectiveness of hand washing and hand sanitizer.
Read More...Distributional effects of residential energy tax credits: A machine learning approach
Tax incentives for sustainable technology are a key part of the push for a greener future. However, these incentives may not reach all income strata equally. Using a machine learning approach, this study analyzed the distributional effects of residential energy tax credits across different income levels in the United States.
Read More...Innovative fake health news detection: Integrating emotional features into graph neural networks
This manuscript tackles a major social issue in the health news sector, with social media being one of the primary sources of information and a prime spot to propagate fake news. The author proposes X-HND , which is a unique architecture that combines emotional and contextual analysis in a Graph Neural Network to accurately detect fake news. This was a multi-step process which involved the creation of a custom health news dataset (HNDataset), and an emotional variant that uses RoBERTa to extract emotion. These dataset were then used to prove the hypothesis that accuracy increases when the custom dataset is used to train the model and that with the integration of emotion capture, the detection accuracy increases further.
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...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...Sector Dynamics: Equity and fixed-income performance across market cycles
The authors examined the relationships between S&P 500 Technology and Financials equity sectors and their corresponding investment-grade fixed-income markets from 1995 to 2025.
Read More...A five-year retrospective analysis of Tuberculosis risk factors and their variability in the United States
The main goal of this study is to determine what demographics are related to tuberculosis incidence in the United States populations, particularly if changing demographics are related to differences in tuberculosis risk over two discrete time periods. The major finding is that in the two studied time periods, tuberculosis risk factors were somewhat consistent and may be influenced by things such as immigration, healthcare access, and race or ethnicity, although the top predictor did change.
Read More...Towards multimodal longitudinal analysis for predicting cognitive decline
Understanding and predicting cognitive decline in Alzheimer's disease
Read More...Locating carcinogenic per- and poly-fluoroalkyl substances in Santa Clarita groundwater
This study investigates PFAS contamination in Santa Clarita groundwater, focusing on potential sources. The study employs statistical analysis to assess data quality and trends which allowed them to identified domestic waste, fire extinguisher materials, and food packaging as the most likely sources of contamination.
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