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 ...

ABSTRACT: This article critically assessed the validity of five multiple linear regression models across three separate studies. The first examined the cytotoxic properties of ...

mDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, ...

1 Nursing Training Institute Raymond-Poincaré, Assistance Publique-Hôpitaux de Paris (AP-HP), Garches, France. 2 Nursing Sciences Departement, Paris Cité University, Paris, France. 3 Nursing Sciences ...

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 ...

Objectives To investigate menstrual hygiene practices among women residing in Jordanian refugee camps, and explore their potential relationships with mental health and other sociodemographic ...

The aim of this study was to investigate the impact of Philosophy for Children (P4C) activities integrated into Turkish lessons on the speaking skills of gifted students. Both quantitative and ...

Digital health technologies can generate data that can be used to train artificial intelligence (AI) algorithms, which have been particularly transformative in cardiovascular health-care delivery.

Using qualitative methods such as non-random sampling and snowball technique, the study presented at this seminar explores 8-mile settlement residents’ electricity access challenges, coping strategies ...