Introduction Ethnic disparities in reproductive, maternal, neonatal and child health (RMNCH) persist in Latin America, rooted ...

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...

Objective Women of reproductive age (WRA) in low-income and middle-income countries (LMICs) bear a disproportionate burden of ...

Abstract: In this communication, a new sampling method called the knowledge-based sampling method (KBSM) is proposed for deep learning (DL)-assisted planar antenna array design. This approach uses ...

Add Yahoo as a preferred source to see more of our stories on Google. When I see blank walls, I feel like they’re just begging for some kind of artwork. Not only can art make a space seem more ...

Armenia has addressed one of its most pressing statistical challenges in a groundbreaking collaboration between the World Bank’s Poverty and Equity Global Department, WorldPop at the University of ...

Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...

Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A Tokyo Tech ...

The World Health Organization (WHO) warns that air pollution is of great concern and impacts health in many ways. To better the situation, it’s necessary to focus on air quality. However, when ...

Large language models (LLMs) have significantly advanced the field of natural language processing (NLP). These models, renowned for their ability to generate and understand human language, are applied ...