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  • Open Access

    ARTICLE

    A Low-Code Orchestration Middleware for Secure and Transparent IoT–Blockchain Integration

    Jesús Rosa-Bilbao*

    CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.080490 - 08 May 2026

    Abstract The integration of Internet of Things (IoT) infrastructures with Distributed Ledger Technologies (DLT) remains challenging due to the reliance on complex, tightly coupled back-end systems or centralized oracle services that hinder scalability, maintainability, and trust. This paper introduces a lightweight middleware architecture based on a Low-Code Development Platform (LCDP) that enables flexible and secure IoT-to-blockchain orchestration. We develop a custom workflow extension for the n8n platform that supports direct interaction with smart contracts, thereby removing the need for third-party oracle intermediaries. The proposed system was evaluated in a real-world deployment involving a network of Netatmo More >

  • Open Access

    REVIEW

    Applying Deep Learning to Defect Detection in Steel Manufacturing

    Duane G. Noé1, Ku-Chin Lin2, Chang-Lin Chuang3, Yung-Tsung Cheng3,*

    CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.077838 - 08 May 2026

    Abstract Steel manufacturing requires high-throughput and high-reliability surface inspection to minimize safety risks, scrap rates, and downstream quality reductions. Conventional rule-based vision and manual inspection are often impeded in real production environments by variable illumination, complex textures, subtle defect morphology, and stringent latency constraints imposed by production-line operation. Deep learning (DL) has become a dominant paradigm for the detection and classification of defects when inspecting steel, but many previous studies have performed broad architectural overviews without explicitly connecting model and pipeline choices to deployment-critical factors such as processing speed, hardware availability, annotation cost, and robustness during… More >

  • Open Access

    ARTICLE

    A Novel Synthetic Dataset for Effective Detection of Replay Attacks in SDN-Enabled IoT Networks

    Nader Karmous1, Leila Bousbia1, Mohamed Ould-Elhassen Aoueileyine1, Imen Filali2,*, Ridha Bouallegue1

    CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.077454 - 08 May 2026

    Abstract This study proposes an intelligent Intrusion Detection and Prevention System (IDPS) integrated into a centralized Ryu Software-Defined Networking (SDN) controller to mitigate replay attacks within Internet of Things (IoT) environments. To address the scarcity of specialized datasets, a comprehensive dataset was generated using a real-time SDN-IoT testbed encompassing Mininet, multiple OpenFlow 1.3 switches, and a single Ryu controller. The experimental setup featured the exchange of legitimate and malicious Message Queuing Telemetry Transport (MQTT) traffic between hosts and IoT devices to simulate realistic network behaviors and attack vectors. Our methodology introduces a novel feature engineering framework… More >

  • Open Access

    ARTICLE

    Foliar Application of γ-Polyglutamic Acid Enhances Chilling Tolerance in Pepper Seedlings by Orchestrating Root-to-Shoot Defense Responses

    Dongmei Lian#, Zhou Li#, Bizhen Lin, Shaoping Zhang, Susu Yuan, Yunfa Yao, Yudong Ju, Zhengfeng Lai*

    Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.078378 - 28 April 2026

    Abstract Pepper (Capsicum annuum L.) is highly susceptible to chilling stress, which severely constrains its growth and productivity. Although the eco-friendly biostimulant γ-polyglutamic acid (γ-PGA) has shown promise in enhancing plant tolerance to abiotic stresses, its specific role and underlying mechanisms in alleviating chilling injury in pepper remain poorly understood. This study systematically investigated the physiological and molecular mechanisms by which foliar application of 100 mg·L−1 γ-PGA enhances chilling tolerance in pepper seedlings. Our results demonstrated that γ-PGA pretreatment significantly mitigated chilling-induced growth inhibition and promoted root development, evidenced by a 110.8% increase in the number of root… More >

  • Open Access

    ARTICLE

    Positive Youth Development: Impact of a Sports Education Program on Ethnic Minority Students within an Academic Environment of Socio-Educational Exclusion

    Pablo Luna1,*, Lidia Losada2, Débora Rodrigo-Ruiz3, Alba Rodríguez-Donaire1, Javier Cejudo1

    International Journal of Mental Health Promotion, Vol.28, No.4, 2026, DOI:10.32604/ijmhp.2026.078092 - 28 April 2026

    Abstract Objectives: There is a growing global concern regarding mental health and well-being in educational settings, especially in contexts of socio-educational exclusion. Active educational interventions offer an effective approach to enhance students’ mental health and personal and social well-being. This study aimed to evaluate the effects of a psychosocial intervention program based on the Sports Education model (SEM) on subjective well-being (positive and negative affect) and externalizing problems (aggressiveness, hyperactivity, and behavioral problems) in youth students from a highly vulnerable socio-cultural community belonging to an ethnic minority with significant socio-educational support needs associated with socio-educational exclusion. Methods:More >

  • Open Access

    ARTICLE

    Latent Patterns and Transitions of Depressive Symptoms in Middle School Students: Stress Types, Life Satisfaction, and Gender as Predictors

    Shuhua Wei1,#, Hongkun Ji1,#, Fang Kong2, Bijuan Huang1,*

    International Journal of Mental Health Promotion, Vol.28, No.4, 2026, DOI:10.32604/ijmhp.2026.076393 - 28 April 2026

    Abstract Background: Early adolescents (ages 11–15), mainly Chinese middle-school students, face academic tracking pressure for the high-school entrance exam and multiple stressors, with depressive symptoms detected in up to 21.9% of this group. Because this stage is a “critical window” for depression intervention and the Ministry of Education requires “stratified and classified interventions”, systematically identifying the patterns and dynamic transition patterns of adolescent depressive symptoms is of considerable practical and theoretical importance. This study aimed to identify the latent profiles and transitions of depressive symptoms among middle-school students and to examine how different types of stress, life… More >

  • Open Access

    ARTICLE

    Nomophobia and psychological loneliness: Their relationship to sleep disorders among university students in Middle Eastern countries

    Mohammad Farhan Al. Qudah1, Ismael Salamah Albursan1, Salaheldin Farah Attallah Bakhiet2,*, Mohammed Awad Al-Tartouri3, Mohammed M. Ateik Al-Khadher1, Abdo Hasan Al-Qadri4

    Journal of Psychology in Africa, Vol.36, No.2, pp. 257-266, 2026, DOI:10.32604/jpa.2025.070220 - 29 April 2026

    Abstract This study explored the level of nomophobia among university students in relation to psychological loneliness, sleep disorders, smartphone usage, age, and the duration of smartphone ownership. A sample of 2162 students from Middle Eastern countries: Jordan (n = 470), Saudi Arabia (n = 279), United Arab Emirates (n = 315), Egypt (n = 625), Oman (n = 237), and Sudan (n = 189) (female = 1706; 78.9%; mean age = 33.36, SD = 10.69). Data were collected using the Nomophobia Questionnaire (Yildirim et al., 2016), the UCLA Psychological Loneliness Scale (Russell, 1996), the Sleep Disorders… More >

  • Open Access

    ARTICLE

    Optimizing IoT-Driven Smart Cities with the Dynamic Leader Sibha Algorithm: A Novel Approach to Feature Selection and Hyperparameter Tuning

    Safaa Zaman1, Marwa M. Eid2,*, Ebrahim A. Mattar3, Doaa Sami Khafaga4, El-Sayed M. El-Kenawy5,6

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.079827 - 27 April 2026

    Abstract The rapid growth of Internet of Things (IoT) technologies has transformed modern urban environments into complex smart cities, generating vast amounts of high-dimensional, heterogeneous data. Effectively analyzing this data is crucial for optimizing urban infrastructure, enhancing quality of life, and supporting sustainable development. However, smart city data presents significant challenges, including non-linear dependencies, noisy signals, and high dimensionality. To address these challenges, this study proposes the Dynamic Leader Sibha Algorithm (DLSA), a novel metaheuristic optimization technique inspired by the structured counting dynamics of the Sibha. The DLSA was applied to the Smart Cities Index dataset,… More >

  • Open Access

    ARTICLE

    Regulation of Histone Emulsification by HPDL via LDHA/LDHB Promotes EC Cell Proliferation

    Yan Wang1,#, Jialei Zhu2,#, Shiyang Wei3,4,#, Lijie Jin1, Zhanqiu Liu1, Jie Xu1, Nana Yang1, Xuefeng Jiang4, Caizhi Wang1,*, Lingling Wang1,*

    Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.068833 - 22 April 2026

    Abstract Background: The role of 4-hydroxyphenylpyruvate dioxygenase-like protein (HPDL) in endometrial cancer (EC) progression remains poorly understood, particularly its involvement in metabolic-epigenetic crosstalk via lactate-driven histone lactylation. This study aimed to investigate HPDL’s mechanistic contribution to EC pathogenesis. Methods: Stable HPDL-overexpressing and knockdown EC cell lines (HEC-1-B and AN3CA) were generated using lentiviral vectors. Functional assays (proliferation, migration, invasion), subcutaneous xenograft models in BALB/c nude mice, and molecular analyses were conducted. Lactate levels, Pan-lysine lactylation (pan-kla), histone H3K18 lactylation (H3K18la), and effects of sodium oxamate (lactate modulator) were assessed. Lactate Dehydrogenase A/Lactate Dehydrogenase B (LDHA/LDHB) knockdown,… More >

  • Open Access

    ARTICLE

    Mitigating Fragmentation Attacks in DNP3-Based Microgrids through Permissioned Blockchain Validation

    Benedict Djouboussi1,*, Elie Fute Tagne1,2

    Journal of Cyber Security, Vol.8, pp. 171-187, 2026, DOI:10.32604/jcs.2026.079617 - 15 April 2026

    Abstract The Distributed Network Protocol 3 (DNP3) is widely deployed in SCADA-based microgrids; however, it was not originally designed to meet the cybersecurity requirements of modern decentralized energy infrastructures. Although DNP3 Secure Authentication (DNP3-SA) introduces HMAC-based session-level protection, it does not ensure fragment-level integrity, leaving the protocol vulnerable to fragmentation disruption, replay attacks, and sequence manipulation. Such vulnerabilities can cause desynchronization between master and outstation devices, compromising the operational reliability of distributed energy resources. This paper proposes DNP3Chain, a blockchain-enabled framework that provides real-time fragment-level validation and enforces end-to-end message integrity in DNP3 communications. An OpenDNP3-based… More >

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