The paper examines whether recent labour law reforms deliver real gender equality or merely formal compliance. It concludes ...

I’ve talked before about the growing shortage of doctors in Idaho. Hospitals have problems hiring them, especially when they ...

Objective To investigate the relationship between adverse childhood experiences (ACEs) and health outcomes in childhood-onset ...

Objective Children and young people (CYP) with special educational needs (SENs) have an increased risk of psychopathology and ...

The Development of the American Economy (DAE) program was one of the first research programs launched by Martin Feldstein in 1978 when he formalized the modern structure of the NBER. The mission of ...

Introduction Obesity and its downstream non-communicable diseases (NCDs) are the greatest health challenges of the 21st century, even in low-income and middle-income countries such as India. As ...

1 Department of Epidemiology and Biostatistics,American University of Beirut, Beirut, Lebanon 3 FXB Center for Health and Human Rights, T. H. Chan School of Public Health, Harvard University, Boston, ...

Binary cross-entropy (BCE) is the default loss function for binary classification—but it breaks down badly on imbalanced datasets. The reason is subtle but important: BCE weighs mistakes from both ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...