The modern battlefield demands a new breed of Soldier, one equipped not just with physical prowess but also with the ability ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

For this, we come up with a new approach that yields optimal value for convex optimization problem in DbMC using logarithmic barrier followed by modified Karush–Kuhn–Tucker conditions, Newton Raphson ...

The main exclusion criteria were (1) age <18 years; (2) known active liver disease or abnormal liver function tests ... of surgery and age were included as covariates in a logistic regression model.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

An improved variable step size LMS algorithm based on logarithmic function is proposed. By improving the nonlinear-function relationship between the step size a ...

Background Immune-mediated processes leading to childhood type 1 diabetes may begin in fetal life. We hypothesised that a ...

Description: This issue is to track a regression introduced in version 4.7.3 of the @azure/functions Node.js library. Problem Version 4.7.3 of @azure/functions upgraded the undici dependency from 5.x ...