data science

Impact of Kolmogorov–Nagumo’s Average in Statistics and Related Fields

The concept of a ‘mean’ is foundational to statistical science, yet the familiar arithmetic mean is but one instance of a much broader and more powerful class of averages. This paper explores the Quasi-Arithmetic Means (QAMs), an axiomatically-grounded generalization that unifies a wide array of specific means, includi...

Motivation across Academic Performance Groups among First-year Undergraduate Physiotherapy Students in Mumbai, Maharashtra, India: A Cross-sectional Study

Introduction: Physiotherapy education in India is transitioning to a competency-based curriculum that emphasises selfdirected learning. Academic motivation is a key learner-related factor that influences academic outcomes. However, evidence on motivational profiles across academic performance groups remains limited, es...

Emotion Regulation and Coping Styles in Bipolar Mood Disorder: A Cross-sectional Study

Introduction: Specific coping mechanisms utilised by Bipolar Mood Disorder (BD) patients are increasingly recognised as stable, trait-like prognostic markers. However, foundational regional data from the Indian subcontinent remains largely unexplored compared to advanced global literature. While international research...

Association Between Maternal Blood Group and Anaemia in First-trimester Pregnancy: A Cross-sectional Study from Tamil Nadu, India

Blood group typing may serve as a supplementary biological marker for identifying vulnerable populations, but effective prevention and management should prioritise evidence based strategies with routine iron supplementation, early haematologic screening, and structured nutritional education to reduce the burden of anae...

Autoethnographic Insights from Double Threshold Cycling Training: A Lived Perspective on Data, Effort, and Adaptation

Competitive endurance athletes invest substantial time and effort into structured training to improve performance, often using sports technologies to guide the process. These technologies provide extensive physiological and performance data, and SportsHCI needs more detailed accounts of how athletes use this data to bo...

Toward Usable Sports Data Repositories: Understanding Prospective Users’ Early Evaluation of Athlete Data for Research and Education

Sports data repositories are rapidly expanding, offering new opportunities for research and education across sport science and related fields. However, there is limited understanding of how to support prospective users’ engagement with athlete data. We address this gap through a think-aloud study with eight university-...

A qualitative evaluation of a STEAM (Science, technology, engineering, arts, and mathematics) peer education intervention on teenagers' knowledge, confidence, and advocacy for HPV vaccine communication.

Digital competency, data science literacy, and fraud detection skills among generation Z accountants: Evidence from Peru

The Roles of Epistemological Versus Content-Based Security in Evolution Acceptance by Religious Students.

The purpose of this study was to characterize, using interview data, the nature of religious university students' reconciliation of evolution and religious belief. Data were collected from a large private Western university and consisted of interviews with students whose previous survey responses indicated acceptance o...

Effectiveness of theory-based educational interventions on fertility and childbearing intentions: a systematic review and meta-analysis among Iranian populations.

Declining fertility highlights the need for theory-based educational interventions that shape couples' childbearing intentions. We examined their effectiveness on fertility and childbearing intentions through a systematic review and meta-analysis. Scopus, Web of Science, PubMed, SID, Magiran and Google Scholar were sea...

How food structure and processing govern metabolizable energy: a critical review of the food-matrix determinants of energy availability and the limits of the Atwater accounting.

Food energy is usually reported using Atwater factors: composition-based coefficients that treat metabolizable energy as a function of macronutrient mass rather than food structure. Yet a growing food-science literature shows that metabolizable energy can diverge materially from Atwater predictions according to the int...

Prevalence of Musculoskeletal Symptoms in Post-COVID-19 Patients

Musculoskeletal symptoms were frequently reported among the post-COVID-19 patients included in this study, particularly in the neck, shoulder, upper-back, and lower-back regions, and these findings highlight the importance of assessing musculoskeletal complaints during post-COVID-19 follow-up.