Vishwas Deep Joshi¹, Priya Agarwal¹, Lenka Čepová², Huda Alsaud³, Ajay Kumar^4,*, B. Swarna⁵, Ashish Kumar⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 969-1011, 2025, DOI:10.32604/cmes.2025.063996 - 31 July 2025

Abstract In a world where supply chains are increasingly complex and unpredictable, finding the optimal way to move goods through transshipment networks is more important and challenging than ever. In addition to addressing the complexity of transportation costs and demand, this study presents a novel method that offers flexible routing alternatives to manage these complexities. When real-world variables such as fluctuating costs, variable capacity, and unpredictable demand are considered, traditional transshipment models often prove inadequate. To overcome these challenges, we propose an innovative fully fuzzy-based framework using LR flat fuzzy numbers. This framework allows for more… More >

Ravi Nahta¹, Nagaraj Naik^2,*, Srivinay³, Swetha Parvatha Reddy Chandrasekhara⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 461-487, 2025, DOI:10.32604/cmes.2025.063973 - 31 July 2025

Abstract The exponential growth of over-the-top (OTT) entertainment has fueled a surge in content consumption across diverse formats, especially in regional Indian languages. With the Indian film industry producing over 1500 films annually in more than 20 languages, personalized recommendations are essential to highlight relevant content. To overcome the limitations of traditional recommender systems—such as static latent vectors, poor handling of cold-start scenarios, and the absence of uncertainty modeling—we propose a deep Collaborative Neural Generative Embedding (C-NGE) model. C-NGE dynamically learns user and item representations by integrating rating information and metadata features in a unified neural More >

Jin Peng, Jiabei He^*, Na Li^*

International Journal of Mental Health Promotion, Vol.27, No.7, pp. 953-977, 2025, DOI:10.32604/ijmhp.2025.066405 - 31 July 2025

Abstract Background: Parenting exerts a profound influence on children’s mental health and behavioral development. Despite the high prevalence of children’s emotional and behavioral problems (CEBP) in China, evidence-based parenting interventions remain scarcely investigated as preventive public health strategies. This pilot study evaluated a school-based intervention for preventing CEBP. Methods: We employed a quasi-experimental design with propensity score matching (PSM) to select 28 families (intervention: n = 13; control: n = 15) from two matched urban primary schools. Quantitative data from seven validated scales were analyzed using t-tests and ANCOVA. Qualitative insights were derived from 10 semi-structured interviews… More >

Min Qu^1,2,#, Xiumei Chen^1,3,#, Yue Zhou⁴, Xuelian Wang^5,6,*, I-Hua Chen^7,8,*

International Journal of Mental Health Promotion, Vol.27, No.7, pp. 1029-1044, 2025, DOI:10.32604/ijmhp.2025.065876 - 31 July 2025

Abstract Background: Despite growing research on parental technology use and its impacts on adolescent development, the influence of parental smartphone behavior on creativity remains understudied. This study addresses this gap by examining how parental phubbing affects adolescent creativity, exploring both direct and indirect pathways through creative self-efficacy as a mediator and problematic smartphone use (PSU) as a moderator. Methods: A total of 9111 Chinese vocational school adolescents (60.3% male; mean age = 16.88 years) were recruited via convenience sampling. Participants completed validated self-report questionnaires assessing creativity, parental phubbing, creative self-efficacy, and PSU. A moderated mediation model… More >

Thi My Binh Nguyen^#, Thi Hoa Hue Nguyen^#, Thi Ngoc Huyen Do^*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5063-5076, 2025, DOI:10.32604/cmc.2025.064610 - 30 July 2025

Abstract Efficient warehouse management is critical for modern supply chain systems, particularly in the era of e-commerce and automation. The Multi-Picker Robot Routing Problem (MPRRP) presents a complex challenge involving the optimization of routes for multiple robots assigned to retrieve items from distinct locations within a warehouse. This study introduces optimized metaheuristic strategies to address MPRRP, with the aim of minimizing travel distances, energy consumption, and order fulfillment time while ensuring operational efficiency. Advanced algorithms, including an enhanced Particle Swarm Optimization (PSO-MPRRP) and a tailored Genetic Algorithm (GA-MPRRP), are specifically designed with customized evolutionary operators to More >

Yuan Zou¹, Chao Lu^1,*, Lvjiang Yin², Xiaoyu Wen³

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2305-2330, 2025, DOI:10.32604/cmc.2025.065972 - 03 July 2025

Abstract The shop scheduling problem with limited buffers has broad applications in real-world production scenarios, so this research direction is of great practical significance. However, there is currently little research on the hybrid flow shop scheduling problem with limited buffers (LBHFSP). This paper deeply investigates the LBHFSP to optimize the goal of the total completion time. To better solve the LBHFSP, a multi-level subpopulation-based particle swarm optimization algorithm (MLPSO) is proposed, which is founded on the attributes of the LBHFSP and the shortcomings of the basic PSO (particle swarm optimization) algorithm. In MLPSO, firstly, considering the… More >

Jiye Zhou¹, Yun-Fei Fu², Kazem Ghabraie^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3233-3251, 2025, DOI:10.32604/cmes.2025.065935 - 30 June 2025

Abstract Most material distribution-based topology optimization methods work on a relaxed form of the optimization problem and then push the solution toward the binary limits. However, when benchmarking these methods, researchers use known solutions to only a single form of benchmark problem. This paper proposes a comparison platform for systematic benchmarking of topology optimization methods using both binary and relaxed forms. A greyness measure is implemented to evaluate how far a solution is from the desired binary form. The well-known Zhou-Rozvany (ZR) problem is selected as the benchmarking problem here, making use of available global solutions… More >

Ronghua Wen¹, Lan Luo^2,*, Shiping Luo³, Tianlin Chen², Meng Fan¹

Journal of Psychology in Africa, Vol.35, No.2, pp. 231-239, 2025, DOI:10.32604/jpa.2025.065770 - 30 June 2025

Abstract This study investigated the relationship between social anxiety and problematic Internet use in college students, and how it is moderated by attitudes toward seeking professional psychological help. Participants were 1451 Chinese college students (female = 60.2%; mean age = 19.85 years, SD = 1.89 years). They completed the Interaction Anxiousness Scale, the Attitudes Toward Seeking Professional Psychological Help Scale-Short Form, and the Problematic Internet Use Scale. The results revealed that college students with higher social anxiety reported greater severity of problematic Internet use. Moreover, students with negative attitudes toward seeking professional psychological help also reported More >

Simon Tanguay

Canadian Journal of Urology, Vol.32, No.2, pp. 1767-1767, 2025

Abstract This article has no abstract. More >

Salman A. Khan^1,*, Mohamed Mohandes^2,3, Shafiqur Rehman³, Ali Al-Shaikhi^2,4, Kashif Iqbal¹

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 553-581, 2025, DOI:10.32604/cmc.2025.064560 - 09 June 2025

Abstract Wind energy has emerged as a potential replacement for fossil fuel-based energy sources. To harness maximum wind energy, a crucial decision in the development of an efficient wind farm is the optimal layout design. This layout defines the specific locations of the turbines within the wind farm. The process of finding the optimal locations of turbines, in the presence of various technical and technological constraints, makes the wind farm layout design problem a complex optimization problem. This problem has traditionally been solved with nature-inspired algorithms with promising results. The performance and convergence of nature-inspired algorithms… More >