Nour Elhouda Chalabi¹, Abdelouahab Attia², Abdulaziz S. Almazyad³, Ali Wagdy Mohamed^4,5, Frank Werner⁶, Pradeep Jangir⁷, Mohammad Shokouhifar^8,9,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 967-1008, 2025, DOI:10.32604/cmes.2025.062332 - 11 April 2025

Abstract Multi-objective optimization is critical for problem-solving in engineering, economics, and AI. This study introduces the Multi-Objective Chef-Based Optimization Algorithm (MOCBOA), an upgraded version of the Chef-Based Optimization Algorithm (CBOA) that addresses distinct objectives. Our approach is unique in systematically examining four dominance relations—Pareto, Epsilon, Cone-epsilon, and Strengthened dominance—to evaluate their influence on sustaining solution variety and driving convergence toward the Pareto front. Our comparison investigation, which was conducted on fifty test problems from the CEC 2021 benchmark and applied to areas such as chemical engineering, mechanical design, and power systems, reveals that the dominance approach More >

Kuo Li^1,*, Aimin Wang¹, Limin Wang¹, Yuetan Zhao¹, Xinyu Zhu²

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 617-637, 2025, DOI:10.32604/cmes.2025.061242 - 11 April 2025

Abstract A Bayesian network reconstruction method based on norm minimization is proposed to address the sparsity and iterative divergence issues in network reconstruction caused by noise and missing values. This method achieves precise adjustment of the network structure by constructing a preliminary random network model and introducing small-world network characteristics and combines L1 norm minimization regularization techniques to control model complexity and optimize the inference process of variable dependencies. In the experiment of game network reconstruction, when the success rate of the L1 norm minimization model’s existence connection reconstruction reaches 100%, the minimum data required is… More >

Chao Qu, Xiaoshan Jia, Haidong Zhu^*

International Journal of Mental Health Promotion, Vol.27, No.3, pp. 401-420, 2025, DOI:10.32604/ijmhp.2025.061059 - 31 March 2025

Abstract Objectives: Attachment is a profound and enduring connection to the emotion children progressively form with their parents as they mature. It significantly impacts the social and psychological development of kids and teenagers. This study aimed to explore the latent profiles and longitudinal transition patterns of parent-child and peer attachments among adolescents. Methods: A cohort of 914 participants from China completed the measures with a twelve-month interval. There were 46.8% boys and 53.2% girls in this survey. Latent profile analysis (LPA) was adopted to explore the distinct profiles reflecting different parent-child and peer attachment response patterns… More >

Wan Ying Gan^1,#,*, Wei-Leng Chin^2,3,#, Shih-Wei Huang^4,5, Serene En Hui Tung⁶, Ling Jun Lee¹, Wai Chuen Poon⁷, Yan Li Siaw⁸, Kerry S. O’Brien⁹, Iqbal Pramukti¹⁰, Kamolthip Ruckwongpatr¹¹, Jung-Sheng Chen¹², Mark D. Griffiths¹³, Chung-Ying Lin^{10,11,14,15,*}

International Journal of Mental Health Promotion, Vol.27, No.3, pp. 319-331, 2025, DOI:10.32604/ijmhp.2025.060049 - 31 March 2025

Abstract Background: Weight-related self-stigma (WRSS) is prevalent among individuals with different types of weight status and is associated with a range of negative health outcomes. Social support and coping models explain how individuals may use different coping methods to deal with their mental health needs. Psychological distress (e.g., depression and stress) could lead to overuse of social media and smartphones. When using social media or smartphones, individuals are likely to be exposed to negative comments regarding weight/shape/size posted on the social media. Consequently, individuals who experience problematic social media use (PSMU) or problematic smartphone use (PSPU)… More >

Yaming Ren^1,*, Xing Deng²

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4503-4533, 2025, DOI:10.32604/cmc.2024.059864 - 06 March 2025

Abstract The exponential growth in the scale of power systems has led to a significant increase in the complexity of dispatch problem resolution, particularly within multi-area interconnected power grids. This complexity necessitates the employment of distributed solution methodologies, which are not only essential but also highly desirable. In the realm of computational modelling, the multi-area economic dispatch problem (MAED) can be formulated as a linearly constrained separable convex optimization problem. The proximal point algorithm (PPA) is particularly adept at addressing such mathematical constructs effectively. This study introduces parallel (PPPA) and serial (SPPA) variants of the PPA… More >

Lingling Yu^1,2, Yanxia Chen^3,*, Jinming Li², André O. Werneck⁴, Fabian Herold⁵, Alyx Taylor⁶, Benjamin Tari⁷, Liye Zou²

International Journal of Mental Health Promotion, Vol.27, No.2, pp. 97-110, 2025, DOI:10.32604/ijmhp.2025.061237 - 03 March 2025

Abstract Background: Taking actions to maintain a healthy lifestyle, including regular engagement in physical activity (PA) and reducing sedentary behavior (SB), may protect against the development of internalizing problems among healthy youth. However, it remains unclear whether such associations exist among youth with chronic pain who often report symptoms of depression and anxiety. To this end, we aimed to investigate the associations between independent and combined PA and/or SB patterns with indicators of internalizing problems in this vulnerable population. Methods: Data used in this cross-sectional study were retrieved from the U.S. National Survey of Children’s Health… More >

Jianlong Wang^1,#, Xiumei Chen^1,2,#, Muqi Huang³, Rui Liu³, I-Hua Chen^4,5,*, Gordon L. Flett^6,*

International Journal of Mental Health Promotion, Vol.27, No.2, pp. 241-256, 2025, DOI:10.32604/ijmhp.2025.058503 - 03 March 2025

Abstract Background: This study addresses the pressing need to understand the nuanced relationship between ‘mattering’—the perception of being significant to others—and problematic internet use (PIU) among university students. Unlike previous research that has primarily employed variable-centered approaches, this study first adopts a person-centered approach using Latent Profile Analysis (LPA) to identify distinct mattering profiles. Subsequently, through variable-centered analyses, these profiles are examined in relation to different types of PIU—specifically problematic social media use (PSMU) and problematic gaming (PG)—as well as adaptability. Methods: Data were collected from 3587 university students across 19 universities in China. Participants completed… More >

Jun Zhang^1,2,#,*, Junqiao Guo^3,#

International Journal of Mental Health Promotion, Vol.27, No.2, pp. 193-214, 2025, DOI:10.32604/ijmhp.2025.058022 - 03 March 2025

Abstract Background: The academic community is increasingly interested in understanding the mechanisms through which gratitude influences coping strategies. In addition, the role of gratitude in fostering long-term resilience and mental health outcomes has garnered significant attention. This study explores the mechanisms through which gratitude affects problem-focused coping strategies and emotion-focused coping strategies by constructing models involving gratitude, perceived social support, self-esteem, and problem-focused coping strategies, as well as models involving gratitude, perceived social support, self-esteem, and emotion-focused coping strategies. Methods: A longitudinal survey was conducted on 1666 Chinese university students using highly reliable and valid scales,… More >

Xing Wang^1,*, Huazhen Liu¹, Abdelazim G. Hussien², Gang Hu¹, Li Zhang³

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2791-2839, 2025, DOI:10.32604/cmes.2025.058473 - 03 March 2025

Abstract Feature selection (FS) is essential in machine learning (ML) and data mapping by its ability to preprocess high-dimensional data. By selecting a subset of relevant features, feature selection cuts down on the dimension of the data. It excludes irrelevant or surplus features, thus boosting the performance and efficiency of the model. Particle Swarm Optimization (PSO) boasts a streamlined algorithmic framework and exhibits rapid convergence traits. Compared with other algorithms, it incurs reduced computational expenses when tackling high-dimensional datasets. However, PSO faces challenges like inadequate convergence precision. Therefore, regarding FS problems, this paper presents a binary… More >

Yuting Zhu^1,*, Wenyu Zhang^1,2, Hainan Wang¹, Junjie Hou¹, Haining Wang¹, Meng Wang¹

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2177-2198, 2025, DOI:10.32604/cmc.2024.057441 - 17 February 2025

Abstract Addressing the complex issue of emergency resource distribution center site selection in uncertain environments, this study was conducted to comprehensively consider factors such as uncertainty parameters and the urgency of demand at disaster-affected sites. Firstly, urgency cost, economic cost, and transportation distance cost were identified as key objectives. The study applied fuzzy theory integration to construct a triangular fuzzy multi-objective site selection decision model. Next, the defuzzification theory transformed the fuzzy decision model into a precise one. Subsequently, an improved Chaotic Quantum Multi-Objective Harris Hawks Optimization (CQ-MOHHO) algorithm was proposed to solve the model. The… More >