Browse Articles

Mining social media posts: An alternative approach to understanding home health care workers’ experiences

Tang et al. | Jun 15, 2026

Mining social media posts: An alternative approach to understanding home health care workers’ experiences
Image credit: Markus Winkler

This study developed an effective method for extracting valuable information from social media data and employed computer-assisted human coding alongside the AI-powered tool to analyze social media posts. The findings provide a deep understanding of the major challenges that home health care workers are experiencing and offer important implications regarding how to improve home healthcare workers' well-being, and provide suggestions on optimizing the home health care service experience.

Read More...

Large-scale brain network connectivity under anxiety induced by naturalistic story listening

Chang et al. | Jun 03, 2026

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...

Quantifying right atrial dilation relative to atrial septal defect size using an experimental model

Lee et al. | Dec 06, 2025

Quantifying right atrial dilation relative to atrial septal defect size using an experimental model
Image credit: jesse orrico

To address the limitations in predicting the severity of Atrial Septal Defect (ASD), here the authors utilized a fluid-filled chamber model to quantify the relationship between defect size and right atrial fluid output. The findings confirmed that larger ASD diameters result in a linear increase in fluid output, validating a cost-effective model that can improve clinical prognosis and treatment planning for heart failure risks.

Read More...