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This study used surveys, interviews, and XGBoost analysis to examine how experienced and novice entrepreneurs differ in their thinking and decision-making.

The authors looked at which measurements from the NFL combine were the most predictive of success for defensemen in the NFL.

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.

The authors looked at the ability of different machine learning algorithms to predict the level of financial corruption in different countries.

The authors investigated whether the physician-patient relationship affected patient perceptions and treatment adherence.

The authors investigate whether air quality impacts solar production.

The authors investigate the relationship between self-esteem, social desirability, and emotion regulation in children and adolescents.

The authors surveyed individuals diagnosed with coronary artery disease about their mental health to study a potential connection between coronary artery disease and depression.

The authors compare neuroimaging datasets to identify potential new biomarkers for earlier detection of Alzheimer's disease.

The authors look at using publicly available data and machine learning to see if they can develop a criminal activity index for counties within the state of California.