Artificial intelligence (AI) has been increasingly integrated into nursing bed equipment to enable continuous patient monitoring, reduce adverse events, and improve the quality of care for bedridden and elderly individuals. Smart nursing beds equipped with sensors and AI algorithms can non-invasively detect posture changes, falls, and physiological abnormalities; however, the scope, technologic...

The problems of plant leaf disease are rather serious in the world agricultural industry, leading to a significant decrease in crop quantity and quality, consequently, resulting in a huge loss in the economy and food insecurity. Detection and successful classification of plant diseases at the initial stage is essential to further agricultural output and the quality production of food. The recen...

Higher education continues to emphasize theoretical knowledge, leaving students ill-equipped to translate technological advances into viable business solutions. This gap often results in innovation and entrepreneurship projects with limited technological depth or poor execution, ultimately hindering the overall growth index. Therefore, this paper studies the strategies for cultivating college s...

This study examines the development of sociocultural competence among international linguistics students learning English as a second foreign language through global simulation supported by Natural Language Processing (NLP) and speech recognition technologies. Sociocultural competence is defined as the capacity to communicate effectively and appropriately across cultural contexts and is assesse...

Although Vision Transformers (ViTs) have demonstrated impressive achievement in computer vision, they suffer from considerable flaws in deployment due to high computational and memory costs. Post-training quantization (PTQ) is an effective compression method but can cause severe accuracy failure of ViTs, which is mainly caused by the disturbance of attention mechanisms. Based on the scheme of f...

Neuro-Linguistic Programming (NLP) is an instructive approach that enhances teacher effectiveness, learner-centric environments, and language skills. Despite its widespread use in English Language Teaching (ELT), no thorough, systematic review and meta-synthesis evaluating its effectiveness has been conducted to date. The present research adhered to the Preferred Reporting Items for Systematic ...

Persistent dissatisfaction with the outcomes of conventional English instruction in bilingual classroom settings has highlighted the need for more effective pedagogical models for non-linguistic majors in regional universities. These challenges are particularly pronounced in small, instructor-led groups taught primarily by non-native English-speaking lecturers under constrained institutional co...

Despite rapid pilot expansion, public uptake of China’s central bank digital currency, e-CNY, remains uneven. This study synthesizes evidence on e-CNY adoption and develops an integrative perspective that connects technology acceptance with behavioral and cognitive mechanisms. Following Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) 2020, we searched Scopus, Web of ...

The shortest path problem which can not be solved by classical Dijkstra algorithm and Moore-Bellman-Ford algorithm appears frequently, for example, the Anti-risk Path Problem proposed by Xiao et al. To address this kind of shortest path problem, the present work proposes and studies a general single-source shortest path problem, which is motivated by current interest in needing to extend the to...

This study investigates English as a Foreign Language (EFL) students’ perceptions of YouTube's effect as a digital tool on speaking skills, with particular attention to the influence of gender and educational level. The primary objectives are to examine differences in perceptions between male and female students and across varying academic levels within the English Department at Seiyun Universi...

This study examines the sociolinguistic approach based on Kitābun Marqūm developed in order to improve Arabic digital literacy among university students. Using an explanatory sequential mixed methods design, quantitative data related to learning gains were collected through a quasi-experimental pre-test–post-test control group design, which was then followed up with a qualitative inquiry in ord...

To address the significant decline in face recognition performance caused by low resolution, high noise, and complex degradation factors in security surveillance scenarios, this paper proposes a joint optimization framework that integrates a Transformer and a Generative Adversarial Network (GAN). The innovation of this framework lies in: (1) designing the Face Reconstruction Transformer (FRForm...

Wireless Sensor Networks (WSNs) are characterized by severe energy constraints, dynamic topology, and limited computational resources, making routing design a critical challenge. Traditional single-path and static routing protocols often lead to uneven energy consumption and premature node failures, thereby reducing network lifetime. To address these limitations, this paper proposes an energy-a...

This study develops an annotated and validated multicultural sentiment dataset derived from Indonesian digital literature. The study integrates Cultural Sentiment Analysis (CSA) and Critical Discourse Analysis (CDA) to address a significant gap in existing research. No prior corpus has systematically combined cultural affective dimensions with linguistic and ethnographic validation, making this...

This study focuses on the extraction of ethnic music cultural genes and green communication pathways from a digital humanities perspective. Addressing the digital transformation challenges faced by traditional ethnic music preservation, the study constructed a multimodal cultural gene extraction framework integrating deep learning, natural language processing, and computer vision, extracting 68...

This study examines how Artificial Intelligence (AI) can leverage the concept of Redefinition—the highest level of the Substitution-Augmentation-Modification-Redefinition (SAMR) model—to transform the teaching of English as a Foreign Language (EFL) reading from comprehension-focused activities to inquiry-driven and effective reading and writing activities. Based on socio-cultural theory, Projec...

Deep learning technologies have revolutionised pedagogical techniques in recent years by enabling individualised, adaptive learning environments in English for Specific Purposes (ESP) training. The efficacy of these AI-driven systems depends on how well they align with students' cognitive learning styles, including visual, introspective, and kinesthetic styles, which influence how they process ...

Metaphor translation plays a key role in cross-cultural communication. Among metaphor types, animal metaphors stand out for their rich cultural connotations and cognitive complexity, making them a valuable testing ground for translation strategies. Despite growing interest, existing research has yet to fully clarify the cultural adaptation mechanisms involved in rendering animal metaphor transl...

Cancellations on the Dutch Railway network are a common and unpredictable occurrence; however, little research has focused on predicting these cancellations. Previous studies on the Dutch railway system have primarily concentrated on delay prediction. For this regression task, models such as XGBoost, Random Forest, Long Short-Term Memory (LSTM), and Gradient Boosting Decision Tree have been sho...

This study examines the visible thematic patterns of artificial intelligence (AI)–related research in Mainland China, Taiwan, Hong Kong, and Macao from 2021 to 2025. The analysis is based on Scopus-indexed journal articles and uses keyword frequency counts, VOSviewer density visualizations, and KH Coder co-occurrence networks. These methods are applied to describe how AI-related keywords appear...