Objectives To describe the characteristics of COVID-19 among elite Japanese athletes and their return-to-play (RTP) ...
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 ...
COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.
As the US foreign assistance architecture faces unprecedented dismantling, lessons from past crises take on urgent significance. Our new analysis of COVID-19 donor funding1 reveals a profound ...
A UW study reveals $2 trillion costs from COVID-19 school closures, urging better data collection for future pandemic ...
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...
OpenAI released vital percentages on ChatGPT usage that reveal the prevalence of mental health aspects among users. This data ...
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