Unlocking insights: Using machine learning to identify wasting and risk factors in Egyptian children under 5.

Introduction: Malnutrition, particularly wasting, continues to be a significant public health issue among children under five years in Egypt. Despite global advancements in child health, the prevalence of wasting remains a critical concern. This study employs machine learning techniques to identify and analyze the determinants of wasting in this population.

The mediating effect of digital literacy and self-regulation on the relationship between emotional intelligence and academic stress among university students: a cross-sectional study.

Background: Academic stress is a prevalent issue affecting students' well-being and academic achievement in today's challenging educational environment. Furthermore, combining digital literacy and self-regulation enhances emotional intelligence, creating a holistic "digitally regulated emotional intelligence" strategy to reduce academic stress effectively. This study emphasizes the significance of developing these abilities in educational settings to prepare students for success in a complex and technology-driven world.

Relationship between digital capabilities and academic performance: the mediating effect of self-efficacy.

Aims: To assess digital capabilities and academic performance among nursing students and investigate the mediating role of students' self-efficacy.

Background: In the context of education and technology, digital capabilities, self-efficacy, and academic performance among nursing students are interconnected concepts. Students who use their digital capabilities and competencies combined with their belief in the ability to efficiently perform learning tasks could improve their academic endeavors.