Publications by authors named "Y R Lau"
Background: Anxiety, both generalised anxiety disorder and anxiety symptoms, has been recognised as a risk factor and prodromal symptom of dementia. Digital biomarkers are gaining interest as proxy markers for mental health because they enable passive and continuous data collection, allowing for early detection. However, the association between digital biomarkers and anxiety remains unknown.
View Article and Find Full Text PDFArticle Synopsis
- Neointimal coverage and stent apposition are critical for improving percutaneous coronary interventions (PCI), but current algorithms struggle with automating the analysis of diverse stent types and preselecting necessary segments.
- This study introduces TriVOCTNet, a multi-task deep learning model designed to automate the classification, lumen segmentation, and stent strut segmentation in IVOCT images, all within one efficient network.
- TriVOCTNet demonstrated impressive accuracy with high classification rates and precise segmentation outputs, indicating its potential for enhancing clinical practices in PCI procedures.
Introduction: Excessive social media use, though considered unhealthy, is no longer formally categorized as an addiction or disorder, leading to a lack of consensus on this behavior. It raises concerns regarding the exclusion of Internet Addiction Disorder from the DSM-5-TR due to insufficient empirical evidence. This study investigates the serial mediating effects of positive and negative affect, fear of missing out, and offline and online self-presentation in the relationship between social media use and social media addiction.
View Article and Find Full Text PDFThe global prevalence of psychological problems in different trimesters is unclear due to methodological constraints in previous reviews. A precise estimate would be a key first step in raising awareness and allocating resources. This review aims to (1) calculate the global prevalence of depression, anxiety, and stress symptoms during different trimesters and (2) determine the factors influencing their prevalence estimates.
View Article and Find Full Text PDFis a multidrug-resistant bacterium that has emerged as a significant nosocomial pathogen globally and renowned for its ability to acquire antimicrobial resistance (AMR) genes. However, understanding of its resistance mechanisms to certain drug classes remains limited. This study focused on four bacterial strains (AB863, AB889, AB930, and AB960) exhibiting carbapenem resistance.
View Article and Find Full Text PDF