Ye Tao^*, Ilyana Jalaluddin, Zalina Mohd Kasim

Journal of Psychology in Africa, DOI:10.32604/jpa.2025.066530

Abstract This study investigated the role of self-efficacy and motivation in the relationship between perfectionism and writing performance. Participants were 500 Chinese EFL (English as a Foreign Language) undergraduates (females = 34%, Mage = 21.56 years, SD = 2.27). The students completed the Self-Reported Writing Proficiency Scale, the Frost Multidimensional Perfectionism Scale for Chinese, the Second Language Writer Self-Efficacy Scale, and the English Writing Motivation Questionnaire. Results from Structural Equation Modeling (SEM, Amos 29.0) revealed that perfectionism predicted writing performance positively for students with positive (adaptive) perfectionism, but negatively for those with negative (maladaptive) perfectionism. Self-efficacy and More >

Zhi-Yun Zhang^1,*, Yaqiong Wu¹, Chenshi Deng², Peng Wang³, Weiguaju Nong^4,*

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2025.070883

Abstract Objectives: Medical students often rely on recreational internet media to relieve the stress caused by immense academic and life pressures, and among these media, short-form videos, which are an emerging digital medium, have gradually become the mainstream choice of students to relieve their stress. However, the addiction caused by their usage has attracted the widespread attention of both academia and society, which is why the purpose of this study is to systematically explore the underlying mechanisms that link perceived stress, entertainment gratification, emotional gratification, short-form video usage intensity, and short-form video addiction based on multiple… More >

Fenghua Wang¹, Jianguo Gao^1,*, Zhi-Ying Yao², Kenneth Po-Lun Fung³, Cun-Xian Jia², Sheng-Li Cheng¹, Josephine Pui-Hing Wong⁴

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2025.069458

Abstract Background: Limited mental health literacy (MHL) among university service providers is a significant obstacle to effective psychological support. Developing and systematically assessing evidence-based interventions is an urgent priority, particularly in low- and middle-income countries (LMICs). This study aimed to evaluate the effectiveness of the Acceptance & Commitment to Empowerment: Linking Youths AND ‘Xin’ (Hearts) (ACE-LYNX) intervention in reducing stigma, improving psychological well-being, and enhancing the MHL and empowerment practices of university mental health providers in China. Methods: A total of 124 trained providers participated in this longitudinal study. Quantitative data were collected at baseline, immediately… More >

Jinwoong Choi¹, Young-lae Choi², Kyuhyun Choi^2,*

International Journal of Mental Health Promotion, DOI:10.32604/ijmhp.2025.068306

Abstract Objectives: For the younger generation (i.e., Millennials and Generation Z), running is not only about physical health, but also about building psychological resources and multidimensional well-being, reflecting their unique culture and lifestyle. This study aims to investigate the structural relationships among exercise commitment, psychological capital (PsyCap), and flourishing in younger adults in South Korea by integrating Social Cognitive Theory (SCT) and Broaden-and-Build Theory (BBT) using a second-order partial least squares structural equation modeling (PLS-SEM). Methods: A total of 166 participants were recruited through convenience sampling via online survey. They were young South Korean adults (born… More >

Sara I. Abdelsalam^1,2,*, M. Khairy³, W. Abbas³, Ahmed M. Megahed⁴, M. S. Emam⁵

Frontiers in Heat and Mass Transfer, DOI:10.32604/fhmt.2025.069711

Abstract This comprehensive research examines the dynamics of magnetohydrodynamic (MHD) flow and heat transfer within a couple stress fluid. The investigation specifically focuses on the fluid’s behavior over a vertical stretching sheet embedded within a porous medium, providing valuable insights into the complex interactions between fluid mechanics, thermal transport, and magnetic fields. This study accounts for the significant impact of heat generation and thermal radiation, crucial factors for enhancing heat transfer efficiency in various industrial and technological contexts. The research employs mathematical techniques to simplify complex partial differential equations (PDEs) governing fluid flow and heat transfer.… More >

Long Zhao^1,*, Qi Zhao¹, Siyuan Zhou¹, Chenyang Fan², Chao Ji¹

Frontiers in Heat and Mass Transfer, DOI:10.32604/fhmt.2025.069512

Abstract The temperature prediction of the Clamp-conductor coupling zone plays a crucial role in ensuring the safe and stable operation of overhead transmission lines and optimizing the thermal stability margin of transmission lines. While existing research in this field has thoroughly explored temperature rise prediction, the focus has been relatively narrow, either targeting conductors exclusively or focusing solely on clamps, with little attention given to the temperature rise in the conductor-clamp coupling zone or the influence of clamp temperature on conductor temperature rise. Based on this, considering axial heat transfer between the clamp and the conductor,… More >

Kai Xie¹, Shaoqing Yuan², Dayun Zou¹, Jinran Wang^1,*, Genjun Chen¹, Ciwei Gao³, Yinghao Cao¹

Energy Engineering, DOI:10.32604/ee.2025.070733

Abstract The construction of spot electricity markets plays a pivotal role in power system reforms, where market clearing systems profoundly influence market efficiency and security. Current clearing systems predominantly adopt a single-system architecture, with research focusing primarily on accelerating solution algorithms through techniques such as high-efficiency parallel solvers and staggered decomposition of mixed-integer programming models. Notably absent are systematic studies evaluating the adaptability of primary-backup clearing systems in contingency scenarios—a critical gap given redundant systems’ expanding applications in operational environments. This paper proposes a comprehensive evaluation framework for analyzing dual-system adaptability, demonstrated through an in-depth case… More >

Changcheng Li^1,2, Weimeng Chang^1,2, Dahai Zhang^1,*, Jinghan He¹

Energy Engineering, DOI:10.32604/ee.2025.069389

Abstract Effective partitioning is crucial for enabling parallel restoration of power systems after blackouts. This paper proposes a novel partitioning method based on deep reinforcement learning. First, the partitioning decision process is formulated as a Markov decision process (MDP) model to maximize the modularity. Corresponding key partitioning constraints on parallel restoration are considered. Second, based on the partitioning objective and constraints, the reward function of the partitioning MDP model is set by adopting a relative deviation normalization scheme to reduce mutual interference between the reward and penalty in the reward function. The soft bonus scaling mechanism… More >

Hsiao-Chun Han¹, Der-Chen Huang^1,*, Chin-Ling Chen^2,*

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.070944

Abstract This study presents a systematic review of applications of artificial intelligence (abbreviated as AI) and blockchain in supply chain provenance traceability and legal forensics cover five sectors: integrated circuits (abbreviated as ICs), pharmaceuticals, electric vehicles (abbreviated as EVs), drones (abbreviated as UAVs), and robotics—in response to rising trade tensions and geopolitical conflicts, which have heightened concerns over product origin fraud and information security. While previous literature often focuses on single-industry contexts or isolated technologies, this review comprehensively surveys these sectors and categorizes 116 peer-reviewed studies by application domain, technical architecture, and functional objective. Special attention More >

Zeinel Momynkulov^1,2, Azhar Tursynova^1,2,*, Olzhas Olzhayev^1,2, Akhanseri Ikramov^1,2, Sayat Ibrayev¹, Batyrkhan Omarov^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.068615

Abstract Robotic manipulators increasingly operate in complex three-dimensional workspaces where accuracy and strict limits on position, velocity, and acceleration must be satisfied. Conventional geometric planners emphasize path smoothness but often ignore dynamic feasibility, motivating control-aware trajectory generation. This study presents a novel model predictive control (MPC) framework for three-dimensional trajectory planning of robotic manipulators that integrates second-order dynamic modeling and multi-objective parameter optimization. Unlike conventional interpolation techniques such as cubic splines, B-splines, and linear interpolation, which neglect physical constraints and system dynamics, the proposed method generates dynamically feasible trajectories by directly optimizing over acceleration inputs while… More >