It then shakes the claim otherwise made in IMF programmes that social spending will be protected, given the IMF programme ...

Delayed consultation represents a major barrier to effective stroke management in Pointe-Noire. It is associated with ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

A hybrid modeling framework to optimize Chinese hamster ovary cell cultures for monoclonal antibody (mAb) production reduces the number of modeling parameters needed while returning results that ...

Aim: To determine how EMG, anthropometric, and psychological factors, and physical activity levels affect isokinetic peak torque performance (IPT) of multiple set exercise sessions. Methods: 20 ...

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 ...

Abstract: Learning a function from input and output data pairs is one of the most fundamental tasks in machine learning. In this work, we propose a generalization of the Canonical Polyadic ...