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Showing 15 of 115 academic articles

Family and community resilience: a Photovoice study

Yvonne Tan, Danielle Pinder, Imaan Bayoumi, Rifaa Carter et al. • International Journal for Equity in Health (2024)

Abstract Background Adverse childhood experiences (ACEs), in combination with adverse community environments, can result in traumatic stress reactions, increasing a person’s risk for chronic physical and mental health conditions. Family res...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12939-024-02142-2

SAM-trace: a fuzzy logic approach in identifying interaction effects in the exacerbation of childhood malnutrition severity

S Shruthi, Priya Govindarajan, S. R. Shalini, Pavan John Antony • Discover Artificial Intelligence (2026)

Abstract Pediatric malnutrition remains a major global health challenge. Conventional WHO-based binary classification (Severe Acute Malnutrition (SAM) / Moderate Acute Malnutrition (MAM) relies solely on anthropometric thresholds. It fails ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01450-6

THE MAIN CHARACTER’S NEUROTIC NEEDS IN THE NOVEL THE INVISIBLE MAN BY H. G. WELLS

Andi Febriana Tamrin, Miselin Adveni, Basri Basri • CaLLs: Journal of Culture, Arts, Literature, and Linguistics (2023)

This study analyses the types of neurotic needs experienced by Griffin through three kinds of neurotic conditions, which indicate that he has a neurotic disorder. This study uses psychoanalysis social by Karen Horney's theory about the type...

DOAJ Open Access (DOAJ) DOI: 10.30872/calls.v9i2.9080

Key factors and serial mediation analysis of anxiety and depression among university students: a cross-sectional study

Tan Jiang, Shijia Zhang, Shijia Zhang, Deyou Jiang • Frontiers in Psychiatry (2026)

BackgroundAnxiety and depressive symptoms are prevalent among university students; however, their risk factors are unlikely to operate in isolation. Instead, they may be organized in a multilevel structure that progressively approaches emot...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyt.2026.1809332

Multidimensional Correlates of Childhood Stunting in India: A Spatial Machine Learning and Explainable AI Approach

Bhagyajyothi Rao, Md Gulzarull Hasan, Bandhavya Putturaya, Asha Kamath et al. • Stats (2026)

Childhood stunting remains a major public health challenge in India and is influenced by multiple socioeconomic and environmental factors. This ecological study examined district-level correlates of childhood stunting, including Crimes Agai...

DOAJ Open Access (DOAJ) DOI: 10.3390/stats9020034

A is for Artificial Intelligence

Randi Williams, Hae Won Park, Cynthia Breazeal • CHI Conference on Human Factors in Computing Systems (2019)

We developed a novel early childhood artificial intelligence (AI) platform, PopBots, where preschool children train and interact with social robots to learn three AI concepts: knowledge-based systems, supervised machine learning, and genera...

OPENALEX Open Access DOI: https://doi.org/10.1145/3290605.3300677

A meta-analysis of the relation between math anxiety and math achievement.

Connie Barroso, Colleen M. Ganley, Amanda L. McGraw, Elyssa A. Geer et al. • Psychological Bulletin (2020)

Meta-analyses from the 1990s have previously established a significant, small-to-moderate, and negative correlation between math achievement and math anxiety. Since these publications, research has continued to investigate this relation wit...

OPENALEX other-oa DOI: https://doi.org/10.1037/bul0000307 PMC: 8300863