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  • Open Access

    ARTICLE

    Numerical Exploration on Load Transfer Characteristics and Optimization of Multi-Layer Composite Pavement Structures Based on Improved Transfer Matrix Method

    Guo-Zhi Li1, Hua-Ping Wang1,2,*, Si-Kai Wang1, Jing-Cheng Zhou1, Ping Xiang3,4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3165-3195, 2025, DOI:10.32604/cmes.2025.072750 - 23 December 2025

    Abstract Transportation structures such as composite pavements and railway foundations typically consist of multi-layered media designed to withstand high bearing capacity. A theoretical understanding of load transfer mechanisms in these multi-layer composites is essential, as it offers intuitive insights into parametric influences and facilitates enhanced structural performance. This paper employs an improved transfer matrix method to address the limitations of existing theoretical approaches for analyzing multi-layer composite structures. By establishing a two-dimensional composite pavement model, it investigates load transfer characteristics and validates the accuracy through finite element simulation. The proposed method offers a straightforward analytical approach… More >

  • Open Access

    ARTICLE

    Theoretical exploration of the structure and physical properties of AgAlSe2

    T. J. Lia,*, Y. Yuea, L. P. Qua, H. J. Houb, S. H. Fanb, H. L. Guoc, S. R. Zhangd

    Chalcogenide Letters, Vol.22, No.10, pp. 917-927, 2025, DOI:10.15251/CL.2025.2210.917

    Abstract The material AgAlSe2, which adopts a chalcopyrite crystal structure, has attracted significant attention owing to its promising functional properties. To further explore its characteristics, theoretical method was conducted to explore its elastic behavior, electronic structure, dynamic stability, and thermodynamic features. The lattice parameters and elastic constants obtained through simulation agrees well with the reported data. Additionally, the mechanical stability of AgAlSe2 was assessed through its elastic constants, confirming its structural integrity. Electronic property analysis reveals that AgAlSe2 exhibits semiconducting behavior, featuring a direct band gap of approximately 1.1377 eV. More >

  • Open Access

    ARTICLE

    Validation of the Moroccan Three-dimensional Wisdom Scale (3D-WS): A cross-cultural exploration of wisdom

    Saif Allah Allouani1, Amine Zenjari2, Abla Berrada1, Mohammed Ben Amar1, Amal Zaki2,*

    Journal of Psychology in Africa, Vol.35, No.5, pp. 619-625, 2025, DOI:10.32604/jpa.2025.070238 - 24 October 2025

    Abstract This study adapted and validated the Three-Dimensional Wisdom Scale (3D-WS; Ardelt, 2003) for a Moroccan adult sample. The 3D-WS conceptualizes wisdom through cognitive, reflective, and affective dimensions. A total of 404 Moroccan adults (56.9% women; M = 31.8 years, SD = 9.4) completed an online survey. Exploratory factor analysis (principal-axis extraction with Promax rotation) reduced the scale to 15 culturally adapted items across three factors, accounting for 44.3% of the total variance. Confirmatory factor analysis demonstrated satisfactory fit: χ²/df = 1.46, GFI = 0.94, CFI = 0.91, RMSEA = 0.049. Bifactor modeling indicated a strong More >

  • Open Access

    ARTICLE

    A Novel Approach Based on Recuperated Seed Search Optimization for Solving Mechanical Engineering Design Problems

    Sumika Chauhan1, Govind Vashishtha1,*, Riya Singh2, Divesh Bharti3

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 309-343, 2025, DOI:10.32604/cmes.2025.068628 - 31 July 2025

    Abstract This paper introduces a novel optimization approach called Recuperated Seed Search Optimization (RSSO), designed to address challenges in solving mechanical engineering design problems. Many optimization techniques struggle with slow convergence and suboptimal solutions due to complex, nonlinear natures. The Sperm Swarm Optimization (SSO) algorithm, which mimics the sperm’s movement to reach an egg, is one such technique. To improve SSO, researchers combined it with three strategies: opposition-based learning (OBL), Cauchy mutation (CM), and position clamping. OBL introduces diversity to SSO by exploring opposite solutions, speeding up convergence. CM enhances both exploration and exploitation capabilities throughout More >

  • Open Access

    ARTICLE

    Proactive personality and employment preparation: The mediating role of self-efficacy and career exploration behavior

    Yunsheng Ruan*, Li Chen, Zibin Cao, Lina Xu, Chao Han, Qianlu Sun

    Journal of Psychology in Africa, Vol.35, No.3, pp. 319-325, 2025, DOI:10.32604/jpa.2025.068970 - 31 July 2025

    Abstract This study investigated proactive personality effects on employment preparation and the mediating roles of self-efficacy and career exploration behaviors in this relationship. The study sample comprised 445 university students (68.3% female; aged 20 to 24) from a university in central China. The participants completed measures to assess proactive personality, employment preparation, self-efficacy, and career exploration behaviors. Structural equation modeling analysis results indicated that proactive personality predicted higher employment preparation; Self-efficacy and career exploration behaviors partially mediated this relationship. Specifically, career exploration behaviors had a stronger mediating effect than self-efficacy on the total effect (34.71% vs. More >

  • Open Access

    BOOK REVIEW

    Book Review: Enno Freiherr von Fircks. (2024). Conservativism: A Cultural-Psychological Exploration. Cham: Springer Nature. xx+124pp. ISBN 978-3-031-51205-6 (eBook)

    Nan Xu1, Tingting Hu2,*

    Journal of Psychology in Africa, Vol.35, No.3, pp. 429-430, 2025, DOI:10.32604/jpa.2025.067519 - 31 July 2025

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Barber Optimization Algorithm: A New Human-Based Approach for Solving Optimization Problems

    Tareq Hamadneh1, Belal Batiha2, Omar Alsayyed3, Widi Aribowo4, Zeinab Montazeri5, Mohammad Dehghani5,*, Frank Werner6,*, Haider Ali7, Riyadh Kareem Jawad8, Ibraheem Kasim Ibraheem9, Kei Eguchi10

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2677-2718, 2025, DOI:10.32604/cmc.2025.064087 - 16 April 2025

    Abstract In this study, a completely different approach to optimization is introduced through the development of a novel metaheuristic algorithm called the Barber Optimization Algorithm (BaOA). Inspired by the human interactions between barbers and customers, BaOA captures two key processes: the customer’s selection of a hairstyle and the detailed refinement during the haircut. These processes are translated into a mathematical framework that forms the foundation of BaOA, consisting of two critical phases: exploration, representing the creative selection process, and exploitation, which focuses on refining details for optimization. The performance of BaOA is evaluated using 52 standard… More >

  • Open Access

    REVIEW

    Unveiling the Hidden Pixels: A Comprehensive Exploration of Digital Image Steganography Schemes

    Nagaraj V. Dharwadkar*

    Journal of Information Hiding and Privacy Protection, Vol.7, pp. 1-31, 2025, DOI:10.32604/jihpp.2025.060898 - 27 March 2025

    Abstract Steganography, the art of concealing information within innocuous mediums, has been practiced for centuries and continues to evolve with advances in digital technology. In the modern era, steganography has become an essential complementary tool to cryptography, offering an additional layer of security, stealth, and deniability in digital communications. With the rise of cyber threats such as hacking, malware, and phishing, it is crucial to adopt methods that protect the confidentiality and integrity of data. This review focuses specifically on text-in-image steganography, exploring a range of techniques, including Least Significant Bit (LSB), Pixel Value Differencing (PVD),… More >

  • Open Access

    ARTICLE

    DMHFR: Decoder with Multi-Head Feature Receptors for Tract Image Segmentation

    Jianuo Huang1,2, Bohan Lai2, Weiye Qiu3, Caixu Xu4, Jie He1,5,*

    CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4841-4862, 2025, DOI:10.32604/cmc.2025.059733 - 06 March 2025

    Abstract The self-attention mechanism of Transformers, which captures long-range contextual information, has demonstrated significant potential in image segmentation. However, their ability to learn local, contextual relationships between pixels requires further improvement. Previous methods face challenges in efficiently managing multi-scale features of different granularities from the encoder backbone, leaving room for improvement in their global representation and feature extraction capabilities. To address these challenges, we propose a novel Decoder with Multi-Head Feature Receptors (DMHFR), which receives multi-scale features from the encoder backbone and organizes them into three feature groups with different granularities: coarse, fine-grained, and full set.… More >

  • Open Access

    REVIEW

    Patterns in Heuristic Optimization Algorithms: A Comprehensive Analysis

    Robertas Damasevicius*

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1493-1538, 2025, DOI:10.32604/cmc.2024.057431 - 17 February 2025

    Abstract Heuristic optimization algorithms have been widely used in solving complex optimization problems in various fields such as engineering, economics, and computer science. These algorithms are designed to find high-quality solutions efficiently by balancing exploration of the search space and exploitation of promising solutions. While heuristic optimization algorithms vary in their specific details, they often exhibit common patterns that are essential to their effectiveness. This paper aims to analyze and explore common patterns in heuristic optimization algorithms. Through a comprehensive review of the literature, we identify the patterns that are commonly observed in these algorithms, including… More >

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