Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Background Globally, adolescent mothers and their children have poorer health outcomes. However, little is known regarding ...

Aims To assess cytokine levels in peripheral blood and tears of patients after allogeneic haematopoietic stem cell ...

This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

Background Tobacco price is an important determinant of smoking behaviour. Using electronic point-of-sales (EPOS) data, this study assesses purchase price of factory-made cigarettes (FMC) and ...