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This study presents the development of a structured and contextually grounded industry internship model—PRIGEL—designed to align with Indonesia's Merdeka Belajar Kampus Merdeka (MBKM) policy. The PRIGEL model compris...

Abstract Background Thalassemia is the most prevalent single-gene disorder in Sri Lanka, imposing a significant socioeconomic and healthcare burden. Early carrier detection is essential for genetic counselling and the pr...

Global food security relies heavily on rice production, which is continuously threatened by crop diseases. Although deep learning (DL) models have demonstrated strong diagnostic performance, their high computational and ...

Abstract Alkaline water electrolysis represents a promising pathway for green hydrogen production, yet comprehensive multi-physics simulation remains computationally prohibitive for practical design optimization. This st...

This integrative literature review examines the underexplored dynamics of industry-academia partnerships within Canadian polytechnic business education. While polytechnics are recognized for fostering applied learning in...

IntroductionReliable classification of lung nodules from computed tomography (CT) images remains a challenging problem due to variations in image intensity, noise, and unstable feature representations during deep network...

Abstract This paper proposes a novel hybrid ensemble machine learning framework integrated with Explainable AI (XAI) to overcome the fundamental trade-off between non-detection zones (NDZ) and false positives in conventi...

Despite decades of global attention, work-related musculoskeletal disorders (MSD) remain a significant challenge, with substantial personal and societal costs (1). The lack of progress in addressing this prevalent proble...

Adaptive learning systems require effective mechanisms to model students’ evolving learning states and provide personalized learning path recommendations. Traditional rule-based approaches are limited in capturing...

The relevance of this study is driven by the growing need to integrate innovative digital tools, particularly artificial intelligence (AI)-based chatbots, into the educational process to enhance language learning efficie...

Background: South Africa continues to experience persistently high unemployment, which constrains graduates’ successful integration into the labour market. Objectives: This article systematically reviews school-to-wo...

Purpose – This study systematically maps global research trends on entrepreneurial readiness in vocational education from 2020 to 2025 and identifies implications for strengthening the Indonesian vocational education s...

Federated Learning (FL) has emerged as a privacy-preserving distributed learning paradigm that enables collaborative model training without sharing raw data. Despite its advantages, ensuring trustworthy FL deployment rem...

Abstract Atomic force microscopy (AFM) is a widely used tool for nanoscale characterization across materials science, energy research, and biology. However, its adoption in high-throughput materials discovery and statist...

Abstract Background Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives....

As Machine Learning Operations (MLOps) adoption accelerates, systematic integration of explainability is imperative for reliability, transparency, and continuous quality assurance. This paper presents a scoping review ex...

Early diagnosis of primary immunodeficiency (PID) remains a significant clinical challenge, often delaying treatment and increasing the risk of severe infections. Accurate identification of antibody (Ab) deficiencies typ...

Gender equality is a central aspect of teacher education and home and consumer studies (HCS) in Sweden. Despite clear educational goals, studies indicate that gender equality perspectives are insufficiently integrated in...

Teaching chemistry on the topic of atomic structure still faces challenges due to its abstract nature and the limitations of teaching materials in visualizing the concept. The use of Assemblr Edu, which provides interact...

Network governance has become a dominant lens for organising integrated digital care, often accompanied by the promotion of co-creation as an inclusive and collaborative ideal. This article critically examines co-creatio...

Background: Medical waste management in resource-limited healthcare facilities remains dominated by manual segregation, which is error-prone and difficult to standardize. Existing automated solutions often rely on cloud-...

Abstract English proficiency and communication confidence are vital for graduates entering internationalized workplaces. This study investigates how self-esteem and social exposure factors predict Thai university student...

Abstract This study seeks to address persistent challenges in traditional music education, particularly the subjectivity inherent in assessment criteria and the frequent delays in feedback, by harnessing the capabilities...

This paper will offer a unified strategy to the optimization of the chassis of a Formula SAE Supra car and predict structural failures using machine learning and Finite Element Analysis (FEA). The work demonstrates that ...