Objectives The length and frequency of previous sickness absence (SA) spells have been shown to be associated with future SA. The aim was to examine if this pattern persisted during the COVID-19 ...
Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
A UW study reveals $2 trillion costs from COVID-19 school closures, urging better data collection for future pandemic ...
Cybercrime crackdowns, AI security flaws, and major breaches — from $176M fines to Starlink, F1, and Google’s new threat ...
During an epidemic, some of the most critical questions for healthcare decision-makers are the hardest ones to answer: When ...
Scientists at the Leibniz Institute of Photonic Technology (Leibniz IPHT) have developed a new microarray-based diagnostic ...
OpenAI released vital percentages on ChatGPT usage that reveal the prevalence of mental health aspects among users. This data ...
COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.
When AI is being initially data trained, evildoers can try to insert backdoors. Until now, this was assumed to be hard. Turns ...
This Strategic Joint Evaluation examines how international development and humanitarian actors responded collectively to the COVID-19 pandemic between 2020 and 2022. Drawing on evidence from over ...
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