Spatiotemporal relationships between extreme weather events and arbovirus transmission across Brazil
This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...
Introduction Timely detection, notification and response are critical for mitigating outbreak impact, yet evidence linking timeliness to public health outcomes is limited.Methods We hypothesised that ...
GenAI is AI capable of generating new content (such as images or text) in response ... face many variables that must all come ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Njoku, C. and Bonang, M. (2025) The Impact of Digital Transformation on Six Commercial Banks Performance in Botswana. Open Journal of Business and Management, 13, 3875-3893. doi: ...
Early broadly neutralising antibody responses against the E1E2 glycoprotein seem to be important for preventing persistence ...
Opinion
The Analysis of Variance: Drawing Conclusions from Data that are Correct, Unambiguous and Defensible
How ANOVA helps ensure process data lead to accurate, defensible decisions. The two-sample t-test determines if two population means are equal. Typical applications involve testing whether a new ...
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...
On Tuesday, White House AI “czar” and venture capitalist David Sacks intensified a frustration that has been building for months. “Anthropic is running a sophisticated regulatory capture strategy ...
Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
Background Hospital incident reporting and patient concerns systems are widely used to detect and respond to patient harm.
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