Background The global surge in ultra-processed food (UPF) consumption is a major public health challenge, particularly among ...

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 ...

Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

In an interview with 'Million Dollaz Worth of Game', the musician spoke about how sampling polices Black creativity Ilana Kaplan is a Staff Editor at PEOPLE. She has been working at PEOPLE since 2023.

The least populated class in y has only 1 member, which is too few. The minimum number of groups for any class cannot be less than 2. This occurs when some genres have too few movies for stratified ...

This issue proposes adding cluster sampling capabilities to the scikit-sampling library. Cluster sampling is a probability sampling technique where the population is divided into naturally occurring ...

The Journal of Geo-information Science recently published an online article on research led by researcher Lianfa Li and researcher Xiaomei Yang (Institute of Geographic Sciences and Natural Resources ...

The following is a summary of “Using a Two-Steps Clustering and PCA Analysis for Stratified Chronic Non-Cancer Pain Care: A Retrospective Cross-Sectional Study,” published in the February 2025 issue ...

Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...