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  • 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

    ARTICLE

    Control of Base Pressure in Supersonic Separated Flows over Axisymmetric Bodies Using Triangular Rib Actuators

    Abdul Aabid1,*, Renita Sharon Monis2, Ambareen Khan3, Sher Afghan Khan4, Muneer Baig1

    FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.5, 2026, DOI:10.32604/fdmp.2026.076988 - 27 May 2026

    Abstract Separated flow at a blunt base remains a critical topic in both automotive and aerospace engineering, particularly in the context of high-speed and supersonic vehicles such as modern fighter aircraft. In the separated region, characterized by a recirculation zone, the local pressure is typically lower than the ambient back pressure. This reduced base pressure can account for up to 70 percent of the total drag acting on an axisymmetric body. The present study focuses on regulating the base pressure within the recirculation region to reduce base drag and thereby enhance the operational range of rockets,… More >

  • Open Access

    ARTICLE

    Machine Learning Knowledge Driven Nonlinear Autoregressive Exogenous Networks for Fractional Order Proteasome-Fibril Interaction Model in Parkinson’s Disease Dynamics

    Roshana Mukhtar1, Chuan-Yu Chang2, Muhammad Asif Zahoor Raja1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.079390 - 27 May 2026

    Abstract Parkinson’s disease (PD) is a complex neurodegenerative disease associated with the accumulation of α-synuclein, which is linked to the dysfunctional ubiquitin–proteasome system. Fractional calculus has emerged as a powerful tool for modeling complex disease dynamics due to its promising features that inherently capture memory and hereditary effects. This paper presents a fractional-order Proteasome-Fibril interaction model (F-PFIM) for the dynamics of PD, represented by three fractional differential classes, showing concentrations of fibrils (F), proteasomes (P), and proteasome fibril complex (C). The three classes of the F-PFIM collectively make a controlling system that works for the clearance… More > Graphic Abstract

    Machine Learning Knowledge Driven Nonlinear Autoregressive Exogenous Networks for Fractional Order Proteasome-Fibril Interaction Model in Parkinson’s Disease Dynamics

  • Open Access

    ARTICLE

    GenAI-Powered Autonomous Cyber Offense-Defense: An Explainable LLM Red-vs-Blue Simulation and Self-Defense Framework

    Haitian Du*

    Journal of Cyber Security, Vol.8, pp. 241-279, 2026, DOI:10.32604/jcs.2026.075976 - 25 May 2026

    Abstract Modern cyberattacks evolve rapidly, overwhelming static and rule-based defenses. This paper proposes GenAI-Powered Autonomous Cyber Offense-Defense, a closed-loop framework in which large language models (LLMs) control both a red-team attacker and a blue-team defender. The agents operate in a simulated enterprise network, generate natural-language rationales for every action, and update defensive policies through a self-adaptive learning loop. We instantiate the framework with LLM-based agents that plan multi-stage attacks, detect anomalies, and autonomously execute containment and hardening actions. In experiments on a three-host virtualized testbed and a scalable multi-node emulation, the adaptive blue agent reduces the More >

  • Open Access

    ARTICLE

    Phenotypic Response Surfaces–Guided Optimization (PRS-OPT) of Propolis-Metformin-Regorafenib Combination Therapy for MASLD-Associated Hepatocellular Carcinoma

    Yi-Sian Huang1,2, Chung-Yung Ma1,2, Hsiao-Yuh Roan3, Cheng-Hsiung Chiang4, Hsiao-Hui Tsou4, Chen-Hui Chen3, Yi-Fan Lin2, Horng-Dar Wang2, Chiou-Hwa Yuh1,5,6,7,*

    Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.074145 - 21 May 2026

    Abstract Objectives: Hepatocellular carcinoma (HCC) arising in metabolic dysfunction–associated steatotic liver disease (MASLD) develops under lipid-rich stress and inflammatory remodeling, which can alter therapeutic windows. We aimed to determine whether phenotypic response surface–guided optimization (PRS-OPT) can nominate hepatocyte-sparing propolis–metformin–regorafenib (PMR) dose windows that retain antitumor activity under MASLD-like fatty-acid (FA) stress and translate to an in vivo immune endpoint. Methods: PMR combinations were profiled in hepatoma cell lines (PLC/PRF/5 and HepG2) and non-malignant hepatocytes (THLE-2) under FA-free and FA-enriched conditions. Quadratic response surfaces were fitted and used for constrained dose nomination, followed by in vitro validation. Cell-death contributions were… More >

  • Open Access

    REVIEW

    Obesity, Metabolic Dysfunction-Associated Steatotic Liver Disease and Hepatocellular Carcinoma: How Molecular Changes Impact Cellular Functions

    Ralf Weiskirchen1, Amedeo Lonardo2,*

    BIOCELL, Vol.50, No.5, 2026, DOI:10.32604/biocell.2026.076177 - 13 May 2026

    Abstract Obesity is a complex chronic condition characterized by an excess of body fat that manifests in various clinical pathophenotypes, each affecting liver health differently. One significant cause of chronic liver diseases among those living with obesity is metabolic dysfunction-associated steatotic liver disease (MASLD), which is linked to one or more cardiometabolic risk factors in individuals who do not engage in harmful alcohol consumption. Hepatocellular carcinoma (HCC) is the most common form of primary liver cancer and is increasingly being associated with MASLD through intricate immunological, cellular, proinflammatory, molecular, and genetic mechanisms. In this review, we More > Graphic Abstract

    Obesity, Metabolic Dysfunction-Associated Steatotic Liver Disease and Hepatocellular Carcinoma: How Molecular Changes Impact Cellular Functions

  • Open Access

    ARTICLE

    Threat Analysis and Assessment Based on a Collaboration Interface for Manned-Unmanned Teaming Systems

    Gaeul Kim1, Dohoon Kim2,*

    CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.078931 - 08 May 2026

    Abstract Manned-Unmanned Teaming (MUM-T) is an operational system where manned and unmanned systems perform missions through a collaboration interface, expanding beyond defense into civilian domains. The core of MUM-T lies in the organic interaction between manned and unmanned systems. The Collaboration Interface enabling this interaction becomes a primary target for cyber attacks due to its reliance on wireless networks. Compromising the reliability of the collaboration interface goes beyond simple communication failures; it directly leads to mission failure and aircraft safety issues. Therefore, systematic threat analysis and assessment tailored to this specific domain are essential. This study… More >

  • Open Access

    ARTICLE

    Modeling and Analysis on Flow Instability of Helical Coiled Tube Steam Generator of Liquid Metal Fast Reactor under Coupled Heat Transfer Conditions

    Jialun Liu1,2,3,*, Yuchang Lu4, Jianjun Lin3, Shebing Li3, Ruixia Gao5, Zhao Li6

    Frontiers in Heat and Mass Transfer, Vol.24, No.2, 2026, DOI:10.32604/fhmt.2026.076292 - 30 April 2026

    Abstract A steady thermo-hydraulic model of the helical tube steam generator was first constructed to study the coupled heat transfer process between the primary and secondary sides based on a discrete modeling method, and obtain the heat flux density distribution along the steam generator. Then, taking the obtained coupled heat flux density distribution as the thermal boundary condition input, considering the dynamic variation of physical properties on the secondary side, a dynamic model based on the time-domain method suitable for two-phase flow instability among parallel multiple channels of the steam generator was constructed. Finally, taking the… More >

  • Open Access

    ARTICLE

    Teacher work values, motivation, and job satisfaction: Mediation professional development engagement

    Guoxiu Tian, Yanbin Guo*

    Journal of Psychology in Africa, Vol.36, No.2, pp. 201-208, 2026, DOI:10.32604/jpa.2026.072897 - 29 April 2026

    Abstract The present study explored how teacher professional development (PD) activities function as a mediator between teachers’ perceptions of work value and policy orientation, their motivation, and their overall job satisfaction. The study drew on a sample of 3047 Chinese junior high school teachers from the 2018 Teaching and Learning International Survey (TALIS), of whom 74.47% were female. Results from the mediation model revealed that job satisfaction was positively associated with teacher motivation, as well as with teachers’ perceptions of value and policy orientation. The findings further revealed that teacher participation in PD activities played a More >

  • Open Access

    ARTICLE

    Addressing Uncertainties in Decentralized Context Models of Autonomous Robot Teams

    Marvin Zager1,*, Gianluca Manca2, Alexander Fay2, Felix Gehlhoff1

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.079058 - 27 April 2026

    Abstract Autonomous robot teams operating in dynamic, uncertain environments require reliable mechanisms to build decentralized context models without centralized coordination. Traditional consensus methods often fail under uncertainty caused by inconsistent sensing, communication delays, or heterogeneous perception models. This paper introduces the Decentralized Belief Consensus (DBC) algorithm, a novel approach that integrates probabilistic reasoning with entropy-based certainty measures to enable adaptive and robust consensus formation in heterogeneous multi-robot systems. Each robot quantifies the uncertainty of its local observations using Shannon entropy, derives a certainty score, and fuses beliefs with neighbors through certainty-weighted averaging. This allows the team… More >

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