ABSTRACT: As labor markets have become increasingly volatile, more workers are susceptible to conditions that threaten their economic security. COVID-19 has further laid bare such economic insecurity ...

ABSTRACT: This study investigates the impact of Corporate Social Responsibility (CSR) on financial performance for non-financial firms listed on the Saudi Stock Exchange (Tadawul) from 2016 to 2022, ...

A simple implementation of the Nadaraya-Watson kernel regression estimator for usage with scikit-learn. Please note that the parameterization is slightly different from this other library. In my ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

Background: Ovarian endometriosis cysts are associated with infertility, and recent research increasingly focuses on improving pregnancy outcomes. Traditional Chinese medicine (TCM) has long been used ...

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: This study introduces a novel approach to example selection in few-shot learning scenarios for dialog intent classification, leveraging logistic regression to refine the set of examples ...

Machine learning (ML) models have proven to be an efficient technique for better understanding and quantification of surface water quality, especially in agricultural watersheds where considerable ...