What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

A new study suggests that a single blood sample could soon detect multiple cancers, including liver, stomach, and lung cancer ...

This is a potentially important study comparing infants (8 months) and adults with respect to rhythmic EEG response properties during periodic and aperiodic visual stimulation. The results provide ...

Introduction Women with high-risk pregnancies (eg, pre-eclampsia, imminent preterm birth) are often hospitalised due to the need for foetal and maternal monitoring. They are monitored for 30–45 min up ...

Sampling (or sample) bias is a widespread concern in scientific research, across several disciplines. The concept of sampling bias originated in statistical studies. The consequence of a biased sample ...

Abstract: Point cloud sampling is a less explored research topic for this data representation. The most commonly used sampling methods are still classical random sampling and farthest point sampling.

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

This paper addresses an important topic (normative trajectory modelling), seeking to provide a method aiming to accurately reflect the individual deviation of longitudinal/temporal change compared to ...

- Uses a clean, readable design with alternating pastel row colors. - Includes definitions, methodology, use cases, advantages, and real-life examples. - Enhances readability with emojis and clear ...