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Consolidating extensive pedagogical knowledge is essential in preservice teacher education as a foundation for developing future professional competences. While mobile learning has emerged as a promising approach for sup...

Abstract The increasing number of Internet of Things (IoT) devices demands a rigid and adaptive routing methodologies to ensure the reliable communication especially for the low-power and lossy networks. The Routing Prot...

Abstract Journaling enables students to reflect on their learning processes and thereby strengthen their self-regulation, a key competency for meeting academic goals. Previous work has shown that students benefit from di...

Attacks on network components and devices pose a significant threat to service continuity, necessitating robust detection mechanisms. This paper presents a Distributed Denial of Service (DDoS) attack detection framework ...

Federated learning (FL) in mobile edge computing (MEC) operates over wireless links with time-varying bandwidth, latency, and packet loss, which makes conventional full-model synchronization inefficient and vulnerable to...

Background: The rapid growth of MALL technology has positined Duolingo establish itself as one of the top language learning platforms in the modern era. However, uncertainty persists regarding how variable user frequency...

Abstract Intertidal macrobenthos are vital bioindicators of coastal ecosystem health due to their ecological roles, limited mobility, and sensitivity to environmental disturbances. However, traditional field‐based moni...

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 ...

Lung diseases such as pneumonia, tuberculosis, COVID-19, and lung cancer remain significant global health challenges that demand rapid and accurate diagnosis to improve patient outcomes. This study proposes NASNet-ViT, a...

Objectives: Deep learning networks have achieved significant progress in caries diagnosis, but automated localization and numbering of carious teeth in cone-beam computed tomography (CBCT) images remain underexplored. Th...

Abstract Background Leishmaniasis is a vector-borne parasitic disease caused by Leishmania protozoa. The disease manifests in several clinical presentations including cutaneous, mucocutaneous, and visceral leishmaniasis....

BackgroundChildhood obesity represents a significant global public health challenge. Accurate and rapid prediction models for identifying obesity risk in children and adolescents are essential for facilitating early prev...

Oceans have often been treated as peripheral to learning and heritage, framed as unstable spaces separating land-based cultures and institutions. Recent work in island studies and the blue humanities has challenged this ...

Abstract Background Mobile technology can deliver public health interventions to reach remote populations such as unique mHealth interventions aimed at low-literacy audiences in low resource settings. This research study...

ObjectiveThis study examined the association between sleep quality and physical learning engagement among Chinese college students and tested the serial mediating roles of smartphone addiction and self-esteem. Both varia...

Background: Postpartum preeclampsia remains a significant contributor to maternal morbidity and mortality in Indonesia. Midwives, as frontline maternal health providers, are expected to deliver holistic care; however, st...

The key component of contemporary biometric security systems is the accurate identification and validation of individuals using facial recognition technology. Advanced security systems can now be personalized through imp...

This study aims to identify the best predictive model for analysing online product reviews (OPRs) in the electronics industry, with a secondary focus on leveraging unstructured customer feedback to support product improv...

Electronic dictionaries are important tools for enhancing vocabulary among foreign language learners. This research investigates Turkish EFL preparatory students' perspectives on the advantages and disadvantages of using...

Learners face numerous hurdles while acquiring a second language. The use of mobile applications and digital technologies in language learning enhances the language proficiency of the learners. The objective of the study...

Ethnomathematics, which integrates mathematical practices grounded in cultural traditions, has gained prominence as an approach to fostering culturally responsive learning in elementary mathematics education. This system...

Even with the introduction of additional security features, the progression toward 6G and Open Radio Access Network (O-RAN) architectures expands security risks, increasing both the scale and complexity of mobile network...

Biotic and abiotic stresses reduce crop yields, yet existing image‑based diagnostic models are often crop‑specific, computationally intensive, and poorly interpretable. This study present: (i) a multi-crop diagnostic...

Disease Diagnosis in crops is a very expensive and lengthy process, as it often involves the need for few experts to make observations, leading to delayed diagnosis, viral spread of diseases, and thus, massive economic l...