Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...

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.

The Python statistics module is a built-in module for performing simple statistical calculations. Since it's part of the standard Python library, it's available in every Python installation. To access ...

The one member of the Miami Dolphins this offseason to get a monster-sized contract extension was defensive tackle Zach Sieler. Sieler, a former seventh-round draft choice by the Baltimore Ravens and ...

The boxplots can be interpreted to mean that the charging limits have a slight effect on the maximum battery capacity. The ...

This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.

We take a deep dive into a pair of decisive Game 3s between the Red Sox and Yankees, as well as the Padres and the Cubs, with stats, trends, and analysis.

Learn how to use the High-Low Method to separate fixed and variable costs efficiently. Discover its applications, limitations, and how to calculate costs.

Estimates of malaria prevalence and intervention coverage in Africa are primarily based on nationally representative household (HH) surveys. However, the expense and infrequency limit the utility of ...

Al Toubi, K., Al Quraini, M. and Al Hubaishi, A. (2025) Oman Provisional Climate Normal Based on the Observation from 2010 to 2021. Atmospheric and Climate Sciences, 15, 816-840. doi: 10.4236/acs.2025 ...

Abstract: This paper presents a comprehensive exploration of earthquake magnitude and depth prediction using an advanced machine learning model and multiple linear regression model. The study ...