Objective: Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease. Data from sub-Saharan Africa, particularly Central Africa, remain scarce and diagnosis is often delayed. This study aimed to describe the epidemiological, clinical, biological, radiological, therapeutic, and functional profile of RA in Chad and to situate these findings within the sub-Saharan and international literature. Methods: We conducted a retrospective descriptive study from January 2018 to December 2024 in...

Epidemiology 

Depression is a clinically heterogeneous disorder comprising subtypes such as melancholic, atypical, anxious, and unspecified, each characterized by distinct symptom profiles and treatment responses. Accurate identification of these subtypes is essential for precision psychiatry and optimizing therapeutic outcomes. This study investigates the potential of quantum-inspired feature representations to enhance the classification of depression subtypes from clinical data. A synthetic dataset of 5000 ...

Psychiatry & Psychology  Neurology 

As future educators, normal students’ mental health resilience is directly related to the quality of education and teaching and students’ development. With the rapid development of artificial intelligence technology, GenAI provides a new technical path for mental health intervention. Focusing on normal university students, this study explored the key mechanisms and effective intervention strategies of GenAI technology in the cultivation of psychological resilience through mixed research methods....

Artificial Intelligence 

This study examines the evolving dynamics of digital advertising in emerging Middle Eastern markets, with a particular focus on Palestine and Jordan. It identifies key trends shaping the sector, including hyper-personalization and the adoption of immersive technologies such as augmented reality (AR) and virtual reality (VR). Employing a qualitative research design that integrates interviews, focus groups, content analysis, and scenario planning, the study explores the primary forces driving digi...

Marketing 

This paper presents a comparative semantic analysis of the concept of “peach” as manifested in Chinese and Japanese four-character idioms and proverbs. Drawing on authoritative lexicographical sources, the study examines both shared and divergent cultural perceptions associated with peaches in the two languages. Guided by theories from cognitive linguistics—specifically metaphor, metonymy, and synecdoche—the paper analyzes the mechanisms through which semantic extensions develop from the core me...

Culture 

The COVID-19 pandemic disrupted schooling worldwide and forced education systems to reconsider what knowledge and skills are most critical when time, access, and support are limited. In Philippines, the Department of Education responded by introducing the Most Essential Learning Competencies (MELCs), a prioritized set of learning outcomes derived from the K to 12 Curriculum to guide instruction, assessment, and learning material development across flexible learning modalities. This article exami...

Educational Psychology  Sociology  E-Learning and Knowledge Management  Teacher Education  Psychology  Curriculum Development 

This study examines the behavioral supports utilized by teachers for learners with attention deficit hyperactivity disorder (ADHD) and analyzes their effectiveness as the empirical basis for developing a targeted training program for educators in selected schools within the Division of Caloocan City during School Year 2022-2023. Employing a descriptive-correlation design, the research involved 50 educators (4 master teachers and 46 regular teachers) chosen through purposeful sampling. Seven beha...

Educational Psychology  Teacher Education  Special Education 

Major depressive disorder (MDD) has been repeatedly linked to disruptions of the gut brain axis (GBA), yet practical decision systems that convert multi-omics patterns into patient-specific guidance remain limited. We present an end-to-end, explainable pipeline that learns putative GBA signatures of MDD from synthetic data and translates model attributions into hypothesis-driven nutritional and pharmacological suggestions. We simulated a cohort of N = 1,500 individuals (30% MDD) comprising 200 m...

Artificial Intelligence  Psychiatry & Psychology  Neurology 

Modern Security Operations Centers (SOCs) face the dual challenge of identifying zero-day threats in high-throughput network streams and mitigating analyst alert fatigue. This paper proposes Sentinel AI, a hybrid detection framework orchestrating unsupervised statistical learning with Large Language Model (LLM) reasoning. We introduce a novel dual-engine architecture: a low-latency Isolation Forest model for real-time anomaly filtration (  complexity), and a semantic analysis engine utilizi...

Artificial Intelligence  Computer and Network Security  Information and Communication: Security, Privacy, and Trust 

Background: Dental anxiety is a common barrier to effective care in pediatric patients. Deep touch pressure (DTP) interventions, such as weighted sensory tools, have demonstrated calming effects in various clinical settings, but their role in pediatric dentistry remains underexplored. Methods: This randomized controlled trial evaluated the effect of a weighted stuffed animal on anxiety and behavior in children aged 4 to 14 years receiving restorative dental trea...

Dentistry  Pediatrics