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 ...
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 ...
This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...
Liver cancer remains a significant global health challenge with limited effective treatments. A new study published in Med Research utilizes multiomics analysis to reveal how the traditional medicinal ...
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 ...
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