The meta-analysis revealed that electronic media use was significantly linked with decreased sleep quality and increased sleep problems with varying effect sizes across subgroups. A significant ...

Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...

A comprehensive, modular Python automation system for HEC-RAS flood analysis workflows. This professional-grade tool demonstrates advanced hydraulic modeling capabilities, Python integration, and ...

As many market participants anticipate a year-end rally, there are mounting indications that such an outcome is far from assured. Investor positioning appears increasingly stretched, with multiple ...

Abstract: This paper examines the use of sentiment analysis to detect mental health conditions from social media posts using machine learning techniques. A dataset of over 53,000 labelled posts was ...