The authors assess the relationship between supportive family environments and internalized stigma in adolescents.
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...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...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...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...Too hot to work? Heat waves, household income, and labor adaptation in India
Paper found that heat waves in India are linked to lower household income, agricultural income, and consumption, with agriculture being affected the most. It also suggests farm workers may adapt to extreme heat over time by increasing labor inputs despite rising temperatures.
Read More...Weather-based power outage prediction in New York City: An ensemble machine learning approach
This study contributes to our understanding of how urban energy systems respond to climate variability and inform strategies for enhancing power grid resilience. The findings can help inform urban planners and infrastructure developers by identifying the factors that make regions within a power grid more vulnerable.
Read More...Linear relationship between nanostructural features and coloring of biomimetic photonic material
Iridescent materials reflect different colored depending on viewing angle. This specific effect can be achieved by biomimetic photonic materials. This project models the quantitative relationship between these material’s coloring and its nanostructure to facilitate personalized design of art materials.
Read More...Is the NFL Combine predictive of a defensive lineman’s NFL career?
The authors looked at which measurements from the NFL combine were the most predictive of success for defensemen in the NFL.
Read More...C reactive protein and risk of neurological deficits and disability in patients with acute ischemic stroke
The authors looked at the correlation between C reactive protein levels and neurological deficits in patients who had suffered an ischemic stroke.
Read More...India’s digital public infrastructure: Analyzing UPI and Aadhaar in GDP growth and cost optimization
India’s Digital Public Infrastructure (DPI)—including the Unified Payments Interface (UPI) and Aadhaar—has been globally recognized for advancing financial inclusion and efficient governance. This study analyzes data from 2016–17 to 2023–24 the impact of these services on India's GDP.
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