Introduction We aimed to determine the association between paternal labour migration and the growth of the left-behind ...

That tension becomes especially clear with heart rate zone training, a popular five-tier system that endurance athletes use to measure effort and fine-tune performance. The well-known formula is ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Abstract: Differential equations are used to predict a wide range of phenomena in physics, engineering, and other fields. In education, differential equations are usually introduced axiomatically, and ...

ABSTRACT: This research aims to develop reliable models using machine learning algorithms to precisely predict Total Dissolved Solids (TDS) in wells of the Permian basin, Winkler County, Texas. The ...

When analyzing data through regression models, evaluating the goodness of fit is an essential step in determining how well the model represents the underlying data. One key measure used in this ...

Objective Adults typically overestimate height and underestimate weight compared with directly measured values, and such misreporting varies by sociodemographic and health-related factors. Using ...