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  • Open Access

    ARTICLE

    Numerical Simulation of Damage Behavior in Graphene-Reinforced Aluminum Matrix Composite Armatures under Multi-Physical Field Coupling

    Junwen Huo, Haicheng Liang, Weiye Dong, Xiaoming Du*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-20, 2026, DOI:10.32604/cmc.2025.073285 - 09 December 2025

    Abstract With the rapid advancement of electromagnetic launch technology, enhancing the structural stability and thermal resistance of armatures has become essential for improving the overall efficiency and reliability of railgun systems. Traditional aluminum alloy armatures often suffer from severe ablation, deformation, and uneven current distribution under high pulsed currents, which limit their performance and service life. To address these challenges, this study employs the Johnson–Cook constitutive model and the finite element method to develop armature models of aluminum matrix composites with varying heterogeneous graphene volume fractions. The temperature, stress, and strain of the armatures during operation… More >

  • Open Access

    ARTICLE

    HCF-MFGB: Hybrid Collaborative Filtering Based on Matrix Factorization and Gradient Boosting

    Salahudin Robo1,2, Triyanna Widiyaningtyas1,*, Wahyu Sakti Gunawan Irianto1

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-19, 2026, DOI:10.32604/cmc.2025.073011 - 09 December 2025

    Abstract Recommendation systems are an integral and indispensable part of every digital platform, as they can suggest content or items to users based on their respective needs. Collaborative filtering is a technique often used in various studies, which produces recommendations by analyzing similarities between users and items based on their behavior. Although often used, traditional collaborative filtering techniques still face the main challenge of sparsity. Sparsity problems occur when the data in the system is sparse, meaning that only a portion of users provide feedback on some items, resulting in inaccurate recommendations generated by the system.… More >

  • Open Access

    ARTICLE

    A Generative Steganography Based on Attraction-Matrix-Driven Gomoku Games

    Yi Cao1, Kuo Zhang1, Chengsheng Yuan2,*, Linglong Zhu1, Wentao Ge2

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-24, 2026, DOI:10.32604/cmc.2025.070158 - 09 December 2025

    Abstract Generative steganography uses generative stego images to transmit secret message. It also effectively defends against statistical steganalysis. However, most existing methods focus primarily on matching the feature distribution of training data, often neglecting the sequential continuity between moves in the game. This oversight can result in unnatural patterns that deviate from real user behavior, thereby reducing the security of the hidden communication. To address this issue, we design a Gomoku agent based on the AlphaZero algorithm. The model engages in self-play to generate a sequence of plausible moves. These moves form the basis of the… More >

  • Open Access

    ARTICLE

    A New Image Encryption Algorithm Based on Cantor Diagonal Matrix and Chaotic Fractal Matrix

    Hongyu Zhao1,2, Shengsheng Wang1,2,*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-25, 2026, DOI:10.32604/cmc.2025.068426 - 10 November 2025

    Abstract Driven by advancements in mobile internet technology, images have become a crucial data medium. Ensuring the security of image information during transmission has thus emerged as an urgent challenge. This study proposes a novel image encryption algorithm specifically designed for grayscale image security. This research introduces a new Cantor diagonal matrix permutation method. The proposed permutation method uses row and column index sequences to control the Cantor diagonal matrix, where the row and column index sequences are generated by a spatiotemporal chaotic system named coupled map lattice (CML). The high initial value sensitivity of the… More >

  • Open Access

    REVIEW

    Mechanistic Insights into the Role of Melatonin in Cancer Cell Chemoresistance

    Russel J. Reiter1,*, Ramaswamy Sharma2,*, Walter Manucha3, Walter Balduini4, Doris Loh5, Demetrios A. Spandidos6, Alejandro Romero7, Vasiliki E. Georgakopoulou8, Wei Zhu9

    BIOCELL, Vol.49, No.11, pp. 2033-2067, 2025, DOI:10.32604/biocell.2025.067661 - 24 November 2025

    Abstract The development of cancer cell resistance to conventional treatments continues to be a major obstacle in the successful treatment of tumors of many types. The discovery of a highly efficient direct and indirect free radical scavenger, melatonin, in the mitochondrial matrix may be a factor in determining both the occurrence of cancer cell drug insensitivity as well as radioresistance. This relates to two of the known hallmarks of cancer, i.e., exaggerated free radical generation in the mitochondria and the development of Warburg type metabolism (glycolysis). The hypothesis elaborated in this report assumes that the high… More >

  • Open Access

    PROCEEDINGS

    Maximizing Sound Absorption in 3D Printed Lattice Structures

    Xinwei Li*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-2, 2025, DOI:10.32604/icces.2025.010448

    Abstract Advances in 3D printing have unlocked new opportunities for developing lattice structures tailored for enhanced sound absorption. This work explores methods to maximize sound absorption in microlattice designs by introducing heterogeneity, leveraging dual dissipation mechanisms, and reshaping cavity wall geometries. We present a multilayered Helmholtz resonance (MLHR) analytical model to predict and guide the design of broadband sound-absorbing lattices [1]. Through structural optimization, we demonstrate that heterogeneous microlattices with varying pore and cavity morphologies achieve broadband absorption [2–4], with experimentally validated absorption coefficients exceeding 0.75 across a wide frequency range from 1000 to 6300 Hz.
    Beyond… More >

  • Open Access

    ARTICLE

    Magneto-Electro-Elastic 3D Coupling in Free Vibrations of Layered Plates

    Salvatore Brischetto*, Domenico Cesare, Tommaso Mondino

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4491-4518, 2025, DOI:10.32604/cmc.2025.068518 - 23 October 2025

    Abstract A three-dimensional (3D) analytical formulation is proposed to put together magnetic, electric and elastic fields to analyze the vibration modes of simply-supported layered piezo-electro-magnetic plates. The present 3D model allows analyses for layered smart plates in both open-circuit and closed-circuit configurations. The second-order differential equations written in the mixed curvilinear reference system govern the magneto-electro-elastic free vibration problem for multilayered plates. This set consists of the 3D equations of motion and the 3D divergence equations for the magnetic induction and electric displacement. Navier harmonic forms in the planar directions and the exponential matrix method in… More >

  • Open Access

    PROCEEDINGS

    Influence of Resin Matrix Rigidity on the Ballistic Performance of PBO and Aramid Fiber Reinforced Composites

    Jia Liu, Yuwu Zhang*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.011553

    Abstract The rigidity of the resin matrix is a critical factor affecting the impact resistance of composites [1]. However, the intrinsic relationship between resin matrix rigidity and ballistic performance remains insufficiently understood. To reveal the influence mechanisms of resin matrix rigidity on ballistic performance, this study compares the ballistic limits of PBO-140, PBO-200, Aramid III, and Aramid II fiber reinforced composites with resin matrices of different rigidities (epoxy resin, PX90, and PX30) through ballistic impact tests. The experimental results show that, the ballistic limit of composites with PX90 resin is higher than that of composites with… More >

  • Open Access

    ARTICLE

    An Intelligent Zero Trust Architecture Model for Mitigating Authentication Threats and Vulnerabilities in Cloud-Based Services

    Victor Otieno Mony*, Anselemo Peters Ikoha, Roselida O. Maroko

    Journal of Cyber Security, Vol.7, pp. 395-415, 2025, DOI:10.32604/jcs.2025.070952 - 30 September 2025

    Abstract The widespread adoption of Cloud-Based Services has significantly increased the surface area for cyber threats, particularly targeting authentication mechanisms, which remain among the most vulnerable components of cloud security. This study aimed to address these challenges by developing and evaluating an Intelligent Zero Trust Architecture model tailored to mitigate authentication-related threats in Cloud-Based Services environments. Data was sourced from public repositories, including Kaggle and the National Institute for Standards and Technology MITRE Corporation’s Adversarial Tactics, Techniques, & Common Knowledge (ATT&CK) framework. The study utilized two trust signals: Behavioral targeting system users and Contextual targeting system… More >

  • Open Access

    ARTICLE

    Genome-Wide Gene Expression Profiling in Human Adipose-Derived Mesenchymal Stem Cells

    Sae Hee Cheon1, Sung-Whan Kim2,3,*

    BIOCELL, Vol.49, No.9, pp. 1697-1710, 2025, DOI:10.32604/biocell.2025.068743 - 25 September 2025

    Abstract Objectives: Despite the considerable regenerative capacity exhibited by adipose-derived mesenchymal stem cells (ASCs), their genetic and molecular mechanisms remain incompletely understood. Methods: In this study, we analyzed the global gene expression profile of adipose-derived mesenchymal stem cells (ASCs) using microarray analysis and compared it with stromal vascular fraction (SVF) cells. Results: Microarray analysis revealed that ASCs express elevated levels of genes related to the extracellular matrix (ECM; extracellular matrix) and collagen, which are critical components of tissue remodeling and wound healing. Additionally, genes associated with cell growth, differentiation, motility, and plasticity were highly expressed. When compared… More >

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