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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 how the focus of someone's attention impacted what information was retained in their working memory.

The authors survey high school students regarding preferences for taking notes by hand versus typing.

The study developed Loving Words, a free AI-powered poetry tutor designed to help writers improve their poetry and experience its therapeutic benefits. Two groups of participants wrote poems—one without assistance and one using Loving Words.

The authors looked at student perception on various situations involving third-party tracking to personalize recommendations.

The authors survey adults to assess how childhood adversity may impact adult relationships and ways of giving or receiving affection.

Determination of Penalty Kick Success in Soccer

The authors looked at how activation of the sympathetic nervous system impacts short-term memory.

The authors looked at how students performed on standardized tests when they were taught material via memorization vs. conceptual based approaches.

Depression affects millions globally, yet identifying symptoms remains challenging. This study explored detecting depression-related patterns in social media texts using natural language processing and machine learning algorithms, including decision trees and random forests. Our findings suggest that analyzing online text activity can serve as a viable method for screening mental disorders, potentially improving diagnosis accuracy by incorporating both physical and psychological indicators.