Introduction Mental health is an urgent public health issue with social and economic relevance. Business families play a key ...

Abstract: Recent advancements in Artificial Intelligence (AI) have greatly impacted cybersecurity, particularly in detecting phishing websites. Traditional methods struggle to address evolving ...

Methods: The databases PubMed, EMBASE, Web of Science, and Cochrane Library were queried for English-language papers published from May 2022 onward. Two reviewers independently extracted data from the ...

This database originally covered cases from 1982 to 2012 and has since been updated and expanded numerous times. For analysis and context on this data—including how we built the database, and a change ...

Abstract: Research on the automation of sleep stage classification, particularly single channel EEG, has been a challenge for many years. The research aims to look into the analysis and evaluation of ...

Tired of your smartwatch reminding you that you haven’t hit 10,000 steps today? It’s time to dismiss the notification. Walking any distance is beneficial for health, even if you don’t reach this ...

Nearly 30 per cent of Hong Kong secondary school students have thought about harming or killing themselves during the current academic year, a survey has found, with its researchers encouraging ...

For as long as generative-AI chatbots have been on the internet, Hollywood writers have wondered if their work has been used to train them. The chatbots are remarkably fluent with movie references, ...

To cite the full Handbook online, please use: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al, editor(s). Cochrane Handbook for Systematic Reviews ...

This portal site “JAPAN – Open for Professionals –” offers information for global talent who are interested in working in Japan. Find Japanese companies who are interested in working with global ...

UC San Francisco scientists have found a way to predict Alzheimer’s disease up to seven years before symptoms appear by analyzing patient records with machine learning. The conditions that most ...