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  • Open Access

    REVIEW

    From Trust to Efficiency: Challenges, Optimizations, and the Hyper-Learning Framework for IoT Ecosystems

    Priyanka Halder, Gopikrishnan Sundaram*

    Journal on Internet of Things, Vol.8, pp. 127-153, 2026, DOI:10.32604/jiot.2026.073962 - 29 May 2026

    Abstract The need for intelligent learning frameworks that can function under stringent limitations relating to privacy, energy, scalability, and trust has increased due to the Internet of Things’ (IoT) and the Internet of Artificial Things’ (IoAT) explosive expansion. Federated Learning (FL), which allows collaborative model training without sharing raw data, has become a potential approach. Non-IID data delivery, inconsistent client engagement, vulnerability to poisoning assaults, and low resource knowledge are among of the significant obstacles that FL alone must overcome. Blockchain integration adds extra overhead in terms of latency, energy consumption, and scalability, but it has… More >

  • Open Access

    ARTICLE

    Health Empowerment and Intention to Use Digital Health Technologies among Korean Older Adults: Extending the Technology Acceptance Model

    Do Young Pyun1, Bingjie Wang2, Kyong Keun Choi3,*, Sungjae Kim4, Taeyeon Koo5,*

    International Journal of Mental Health Promotion, Vol.28, No.5, 2026, DOI:10.32604/ijmhp.2026.078956 - 28 May 2026

    Abstract Backgrounds: South Korea is one of the world’s fastest-aging societies, facing significant challenges in maintaining healthcare quality and accessibility for its rapidly growing elderly population. This study extends the Technology Acceptance Model (TAM) by integrating health empowerment to examine its influence on digital healthcare device adoption among Korean older adults. Specifically, this study aims to investigate how health empowerment is associated with perceived usefulness and perceived ease of use, and how these perceptions subsequently relate to attitude and intention to use digital healthcare devices. Methods: Data were collected from 342 Korean older adults. The analysis followed… More >

  • Open Access

    ARTICLE

    ‘Shared Emotions in Shared Weaves’: Perceived Positivity Resonance and the Social–Emotional Benefits of Equine-Assisted Therapy

    Yalin Aygun1,*, Sakir Tufekci1, Goktug Norman1, Burak Canpolat2, Fatma Hilal Yagin3, Sacide Tufekci4, Cemil Colak5, Burak Yagin5, Huseyin Gurer6, Hulya Berktas1, Emek Guldogan5, Matheus Santos de Sousa Fernandes7, Đina Škulić8, Larisa Draščić Šarinić8

    International Journal of Mental Health Promotion, Vol.28, No.5, 2026, DOI:10.32604/ijmhp.2026.078673 - 28 May 2026

    Abstract Backgrounds: Children’s mental ill health has risen worldwide in recent years, placing increasing emotional demands not only on autistic children but also on their families. A holistic perspective on supportive therapies besides medical treatment is essential. There is a growing need for research and practice that explore equine-assisted therapy through innovative relational frameworks. This qualitative study had two main aims: first, to understand how parents perceived the social and emotional benefits of their autistic child’s involvement in equine-assisted therapy; and second, to explore how parents experienced positive resonance with their child during simultaneous parent–child involvement in… More >

  • Open Access

    ARTICLE

    The Protective Role of Integrated Social Media Access and Perceived Social Resources on Student Mental Health: Evidence from China

    Chun-Chieh Hu1,*, Meixuan Li1,2, Ruize Gao1,2

    International Journal of Mental Health Promotion, Vol.28, No.5, 2026, DOI:10.32604/ijmhp.2026.078559 - 28 May 2026

    Abstract Backgrounds: The mental health consequences of social media use remain debated. Drawing on the “rich-get-richer” perspective, this study examines whether social media access interacts with perceived social resources to shape depression risk among Chinese students. Methods: We analyze nationally representative data from the 2020 and 2022 waves of the China Family Panel Studies (CFPS), constructing a two-period unbalanced student panel. High-dimensional fixed effects linear probability models are estimated with province and year fixed effects and province-specific linear trends. Mediation analyses follow the Baron and Kenny framework and are supplemented by Sobel-Goodman and bootstrap tests. Heterogeneity is… More >

  • Open Access

    ARTICLE

    Associations between Mukbang Viewing and Anxiety among Adolescents: A Cross-Sectional Mediation Analysis of High-Caffeine Beverages and Sugar-Sweetened Beverages Intake

    Eungyeong Kim*

    International Journal of Mental Health Promotion, Vol.28, No.5, 2026, DOI:10.32604/ijmhp.2026.078353 - 28 May 2026

    Abstract Background: Adolescents are highly exposed to digital food-related content, including mukbang videos, yet the psychological consequences of such exposure remain insufficiently understood. This study aimed to examine the association between mukbang viewing and anxiety among adolescents and to investigate the mediating roles of high-caffeine beverages and sugar-sweetened beverages intake. Methods: Data from 51,850 adolescents were drawn from the 2022 Korea Youth Risk Behavior Web-based Survey. Parallel mediation analyses were conducted using PROCESS Model 4 with 5000 bootstrap samples to assess whether the frequency of high-caffeine beverages and sugar-sweetened beverages consumption mediated the association between mukbang viewing… More >

  • Open Access

    ARTICLE

    Examining Associations between Teacher–Student Relationships and Adolescent Well-Being: The Roles of School Belonging, Moral Disengagement, and Growth Mindset

    Xingchen Zhu1, Haohan Zhao2,*, Wencan Li3,*, Zixu Wang1

    International Journal of Mental Health Promotion, Vol.28, No.5, 2026, DOI:10.32604/ijmhp.2026.078033 - 28 May 2026

    Abstract Backgrounds: Adolescent psychological well-being has become a pressing global concern, with rising levels of emotional distress among youth. Although prior research highlights the positive influence of teacher–student relationships, the underlying mechanisms—particularly the roles of school belonging, moral disengagement, and growth mindset—remain insufficiently understood. This study investigates the associations between teacher-student relationship quality and adolescent psychological well-being, examining school belonging and moral disengagement as potential mediators, and growth mindset as a moderator of these relationships. Methods: A total of 785 adolescents were recruited from six schools across Shanghai and Liaoning Province, China. Participants completed validated measures of… More >

  • Open Access

    REVIEW

    Sustainable Plant-Based Starch as Binder in Biocomposites: Extraction, Modification, and Their Calorific Behaviour

    Adib Hafiizhullah Mohamad Prim Nasir1,2, Mohd Nurazzi Norizan1,2,3,*, Nur Izzaati Saharudin1,2, Sumarni Mansur1,2

    Journal of Renewable Materials, Vol.14, No.5, 2026, DOI:10.32604/jrm.2025.02025-0156 - 28 May 2026

    Abstract Plant-based starch has emerged as a promising natural binder in biocomposites owing to its biodegradability, renewability, and functional adaptability. This study critically reviews the extraction, modification, and performance of starches derived from sources such as corn, potato, and cassava, with particular attention to their calorific behaviour as measured through bomb calorimetry. Calorimetric analysis provides insight into the energy density and combustion efficiency of starch binders, parameters that influence both processing and End-of-life valorisation of biocomposites. Through physical, chemical, enzymatic, and genetic modifications, the inherent limitations of native starch such as moisture sensitivity and low mechanical More > Graphic Abstract

    Sustainable Plant-Based Starch as Binder in Biocomposites: Extraction, Modification, and Their Calorific Behaviour

  • Open Access

    ARTICLE

    Interpretable Deep Learning Framework for Predicting Compressive Strength of Steel Fiber Reinforced Geopolymer Concrete

    Quynh-Anh Thi Bui1,*, Son Hoang Trinh1, Maryam Sayadi2, Reza Khanali3

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.081794 - 27 May 2026

    Abstract Geopolymer concrete has attracted increasing attention as a lower-carbon alternative to ordinary Portland cement concrete because it can utilize aluminosilicate-rich industrial by-products while still achieving satisfactory mechanical performance. However, the 28-day compressive strength of steel fiber-reinforced geopolymer concrete (SFGPC) is governed by multiple interacting mixture variables, which makes reliable prediction difficult, especially for medium-sized experimental datasets. This study developed an interpretable deep-learning framework to predict the 28-day compressive strength (CS28) of SFGPC using an original experimental dataset of 189 mixtures produced under a consistent laboratory protocol in Vietnam. The dataset covered nine mixture variables, including… More >

  • Open Access

    ARTICLE

    Low-Velocity Impact Response of Hybrid Fiber Reinforced Composite Thin-Walled Structures

    Chaoshuai Duan, Yin Wang, Guohua Zhu*, Xiaotian Zhang, Jiale Wang, Zhen Wang

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.081676 - 27 May 2026

    Abstract Hybrid fiber reinforced plastic (HFRP) composites, especially intra-layer carbon/glass hybrids, offer a promising balance of specific strength, impact resistance, and cost efficiency for thin-walled energy-absorbing structures. This study investigates the low-velocity impact response and energy absorption of intra-layer carbon/glass hybrid hat-shaped beams. Tensile and impact tests evaluated the effects of hybrid ratio and fiber orientation. A multiscale damage model based on micromechanical damage and failure criteria was established via Abaqus/VUMAT, integrating stress amplification factors to bridge micro-meso-macro scales. Experimental results show that carbon fibers aligned with the loading direction yield hybrid composites with superior tensile… More >

  • Open Access

    ARTICLE

    GreenShield: A Lightweight and Robust Vision Transformer Framework in Retinal Disease Classification

    Munthir Qasaimeh1, Mostafa Ali1, Qasem Abu Al-Haija2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.080864 - 27 May 2026

    Abstract Vision Transformers (ViTs) have recently achieved high performance in retinal Optical Coherence Tomography (OCT) classification studies. However, ViT models continue to face significant challenges, including high computational cost, vulnerability to adversarial attacks, and pronounced sensitivity to preprocessing techniques. This study introduces GreenShield, a unified framework designed to produce an efficient and robust ViT model, referred to as GreenShield-ViT, which outperforms existing lightweight ViT variants in terms of adversarial robustness for retinal OCT classification. The framework integrates a gradient-based block-importance pruning strategy to compress the ViT/B-16 architecture, and adversarial training with proper ImageNet normalization and anti-saturation… More >

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