Junyi Wang^*

Journal of Psychology in Africa, Vol.35, No.4, pp. 549-555, 2025, DOI:10.32604/jpa.2025.070065 - 17 August 2025

Abstract The transition to university life presents unique challenges, increasing the risk of mental health issues among first-year students. This study evaluated the efficacy of an eight-week structured mental health education course in enhancing resilience among first-year college students and reducing their stress levels. Utilizing a cluster-randomized controlled trial, a total of 509 first-year students (age range 18–20 years) were allocated to either an intervention group receiving the mental health education course (n = 252), or a control group with no intervention (n = 257) over an 8 week period. They completed self-reported measures of resilience… More >

Abdelhakim Lahrech¹, Tahar Tayebi², Mohamed Kallel^3,*, Mehdi Hashemi-Tilehnoee^4,*, Ali J. Chamkha⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 359-385, 2025, DOI:10.32604/cmes.2025.067099 - 31 July 2025

Abstract The study considers numerical findings regarding magneto-thermosolutal-aided natural convective flow of alumina/water-based nanofluid filled in a non-Darcian porous horizontal concentric annulus. Two equations are assumed to evaluate the thermal fields in the porous medium under Local Thermal Non-Equilibrium (LTNE) conditions, along with the Darcy-Brinkman-Forchheimer model for the flow. By imposing distinct and constant temperatures and concentrations on both internal and external cylinders, thermosolutal natural convection is induced in the annulus. We apply the finite volume method to solve the dimensionless governing equations numerically. The thermal conductivity and viscosity of the nanofluid mixture are determined utilizing… More >

Qamar H. Naith^1,*, H. Mancy^2,3

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 387-405, 2025, DOI:10.32604/cmes.2025.066917 - 31 July 2025

Abstract Effective water distribution and transparency are threatened with being outrightly undermined unless the good name of urban infrastructure is maintained. With improved control systems in place to check leakage, variability of pressure, and conscientiousness of energy, issues that previously went unnoticed are now becoming recognized. This paper presents a grandiose hybrid framework that combines Multi-Agent Deep Reinforcement Learning (MADRL) with Shapley Additive Explanations (SHAP)-based Explainable AI (XAI) for adaptive and interpretable water resource management. In the methodology, the agents perform decentralized learning of the control policies for the pumps and valves based on the real-time… More >

Ali Hasan Mumtaz, Ziyi Huang, Li Zhang^*, Jiajing Wang, Gavaa Zanabazar

Journal of Psychology in Africa, Vol.35, No.3, pp. 299-308, 2025, DOI:10.32604/jpa.2025.067169 - 31 July 2025

Abstract This study explores the interaction of responsible leadership, supportive climate, and creative self-efficacy in enhancing knowledge sharing among employees in the banking sector. Data from 314 employees (42% Females, 58% Males) were analyzed using structural equation modeling (SEM) and a time-lagged survey design. The analysis revealed a higher responsible leadership to be associated with both creative self-efficacy and knowledge sharing. Additionally, the study found that supportive climate moderation to significantly, strengthening the relationship between responsible leadership and knowledge sharing. Creative self-efficacy partially mediated this relationship to be stronger. The results indicate that responsible leadership and More >

Chunhong Guo¹, Huifang Liu², Jingfu Guo^3,*

Journal of Psychology in Africa, Vol.35, No.3, pp. 411-418, 2025, DOI:10.32604/jpa.2025.065763 - 31 July 2025

Abstract We explored the effects of algorithmic opacity on employees’ playing dumb and evasive hiding rather than rationalized hiding. We examined the mediating role of job insecurity and the moderating role of employee-AI collaboration. Participants were 421 full-time employees (female = 46.32%, junior employees = 31.83%) from a variety of organizations and industries that interact with AI. Employees filled out data on algorithm opacity, job insecurity, knowledge hiding, employee-AI collaboration, and control variables. The results of the structural equation modeling indicated that algorithm opacity exacerbated employees’ job insecurity, and job insecurity mediated between algorithm opacity and More >

Jingli Li, Xianting Fu, Yuheng Wen, Hailang Xu, Qian Liao, Deng-Guang Yu^*, Wenliang Song^*

Journal of Polymer Materials, Vol.42, No.2, pp. 435-448, 2025, DOI:10.32604/jpm.2025.064290 - 14 July 2025

Abstract Porous organic polymers are remarkably versatile materials with porous and carefully designed structures. They complement traditional preservation methods by overcoming their limitations and significantly extending the shelf life of preserved products. Notably, porous hollow nanospheres (PHNs), with their unique hollow structures capable of adsorbing and releasing organic molecules, have garnered considerable attention in food preservation. However, most PHNs are challenging to synthesize in one step, and PHNs are usually in powder form, which makes it challenging to apply them directly. In this study, we successfully synthesized PHNs in one step using the Friedel–Crafts reaction. The… More > Graphic Abstract

Ying Shen¹, Shichao Zhao¹, Yanfei Lv¹, Fei Chen¹, Li Fu^1,*, Hassan Karimi-Maleh^2,*

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 1921-1950, 2025, DOI:10.32604/cmc.2025.067427 - 03 July 2025

Abstract This review presents a comprehensive and forward-looking analysis of how Large Language Models (LLMs) are transforming knowledge discovery in the rational design of advanced micro/nano electrocatalyst materials. Electrocatalysis is central to sustainable energy and environmental technologies, but traditional catalyst discovery is often hindered by high complexity, fragmented knowledge, and inefficiencies. LLMs, particularly those based on Transformer architectures, offer unprecedented capabilities in extracting, synthesizing, and generating scientific knowledge from vast unstructured textual corpora. This work provides the first structured synthesis of how LLMs have been leveraged across various electrocatalysis tasks, including automated information extraction from literature,… More >

Jing Wang¹, Shuanghu Fang^1,*, Zihua Li², Shaoyong Ma³

International Journal of Mental Health Promotion, Vol.27, No.6, pp. 845-861, 2025, DOI:10.32604/ijmhp.2025.061476 - 30 June 2025

Abstract Objectives: College students face increasing mental health challenges. Although Acceptance and Commitment Therapy (ACT) is effective, the efficacy of Internet-based ACT (iACT) needs further exploration. Methods: This study examines the efficacy of iACT on college students’ mental health through a randomized controlled trial. We recruited 90 college students (19.16 ± 1.02 years old) and randomly divided them into the iACT group, face-to-face ACT group, and control group. The effects of the interventions were evaluated using the comprehensive assessment of ACT processes (CompACT) and the Depression Anxiety Stress Scales (DASS-21). Results: Two-factor repeated measures ANOVA revealed a… More >

Xiangyu Du, Xiaoquan Lu, Tianyou Zheng, Shaowei Liu^*, Bo Cao

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2833-2846, 2025, DOI:10.32604/cmes.2025.064773 - 30 June 2025

Abstract Sliding electrical contact is a common phenomenon in electrical equipment and affects performance. In this paper, the mechanism of sliding electric contact pair transition and the moment when transition occurs are investigated using the railgun as an example. Transition is the phenomenon where the contact between the armature and rails changes from solid-solid contact to solid-arc-solid contact. In this paper, the finite element-boundary element coupling method (FE-BE method) is used to simulate the process of armature movement. Then, the force, thermal, and electrical parameters on the armature/rail contact surface are analyzed to explore the development… More >

Chengquan Wang^1,2, Rongyang Liu¹, Xinquan Wang^1,2,*, Boyan Ping³, Haimin Qian^1,2, Xiao Li¹, Yuhan Liang¹

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 819-850, 2025, DOI:10.32604/sdhm.2025.060580 - 30 June 2025

Abstract This article provides an overview of the current development status of prestressed segmental precast and assembled piers, Emphasis was placed on analyzing the stress characteristics of bridge piers under impact. The concept of recoverable functional design and its application prospects were elaborated, and finally, the research on the impact resistance performance of prestressed segmental precast and assembled piers was discussed. Research has shown that optimizing design and material selection can effectively enhance the impact resistance and structural durability of bridge piers. At the same time, the introduction of the concept of recoverable functionality provides new More >