The dairy business and industry in Oman grapples with complex challenges, from wavering milk prices and escalating input ...
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 ...
Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
Objectives To evaluate the long-term efficacy of remote ischaemic postconditioning (RIPC) on functional outcomes in patients ...
Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
The US tax court’s approach to risk distribution is rooted in a flawed reliance on the Law of Large Numbers, argue F. Hale ...
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 ...
One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...