Zhijun Liu^*, Jiaxin Liang

Journal of Psychology in Africa, Vol.35, No.3, pp. 361-368, 2025, DOI:10.32604/jpa.2025.068059 - 31 July 2025

Abstract We examined the relationship between social support and career adaptability, as well as the mediating roles of proactive personality and career decision-making self-efficacy in this process. A total of 1354 Chinese college students (female = 964; mean age = 19.53 years, SD = 1.33 years) completed an online questionnaire. Path analysis indicated that social support was positively associated with higher levels of career adaptability. Both proactive personality and career decision-making self-efficacy served as parallel mediators, strengthening the relationship between social support and career adaptability. The complete chain mediation analysis revealed that social support influences career 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 >

Sameera V Mohd Sagheer^1,*, Meghana K H², P M Ameer³, Muneer Parayangat⁴, Mohamed Abbas⁴

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4259-4297, 2025, DOI:10.32604/cmc.2025.063726 - 30 July 2025

Abstract Integrating multiple medical imaging techniques, including Magnetic Resonance Imaging (MRI), Computed Tomography, Positron Emission Tomography (PET), and ultrasound, provides a comprehensive view of the patient health status. Each of these methods contributes unique diagnostic insights, enhancing the overall assessment of patient condition. Nevertheless, the amalgamation of data from multiple modalities presents difficulties due to disparities in resolution, data collection methods, and noise levels. While traditional models like Convolutional Neural Networks (CNNs) excel in single-modality tasks, they struggle to handle multi-modal complexities, lacking the capacity to model global relationships. This research presents a novel approach for… More >

Da Li¹, Yuqing Tian¹, Chengxin Weng^2,3, Fuyou Liang^1,4,5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2867-2882, 2025, DOI:10.32604/cmes.2025.066444 - 30 June 2025

Abstract Veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is a life support intervention for patients with refractory cardiogenic shock or severe cardiopulmonary failure. However, the choice of cannulation strategy remains contentious, partly due to insufficient understanding of hemodynamic characteristics associated with the site of arterial cannulation. In this study, a geometrical multiscale model was built to offer a mathematical tool for addressing the issue. The outflow cannula of ECMO was inserted into the ascending aorta in the case of central cannulation, whereas it was inserted into the right subclavian artery (RSA) or the left iliac artery (LIA) in… More >

Cheng Cheng^*, Xuan-Ping Gong, Xiao-Yu Cheng, Lu Xiao, Xing-Ying Ma

Frontiers in Heat and Mass Transfer, Vol.23, No.3, pp. 1037-1051, 2025, DOI:10.32604/fhmt.2025.065719 - 30 June 2025

Abstract To overcome the challenges associated with predicting gas extraction performance and mitigating the gradual decline in extraction volume, which adversely impacts gas utilization efficiency in mines, a gas extraction pure volume prediction model was developed using Support Vector Regression (SVR) and Random Forest (RF), with hyperparameters fine-tuned via the Genetic Algorithm (GA). Building upon this, an adaptive control model for gas extraction negative pressure was formulated to maximize the extracted gas volume within the pipeline network, followed by field validation experiments. Experimental results indicate that the GA-SVR model surpasses comparable models in terms of mean… More >

Jiajian Wang^1,2,*, Mansor Bin Abu Talib², Biru Chang³, Jingwen Zhang²

Journal of Psychology in Africa, Vol.35, No.2, pp. 223-230, 2025, DOI:10.32604/jpa.2025.068063 - 30 June 2025

Abstract Amidst the unique challenges faced by rural educators is their sense of decent work influenced by levels of social support, career self-efficacy, and marginalization. To investigate these relationships, we surveyed 435 rural school teachers (females = 69.32%, mean years teaching experience = 13.6, SD = 7.7 years). The Structural Equation Modeling results indicated that social support positively predicts teachers’ perceptions of decent work. Career self-efficacy mediated the relationship between social support and a higher sense of decent work, while marginalization mediated the relationship such that lower social support predicted lower perceptions of decent work. Career… More >

Wenqi Lin¹, Chaowei Zhang^2,*, Jingyu Zhang^3,*

Journal of Psychology in Africa, Vol.35, No.2, pp. 179-186, 2025, DOI:10.32604/jpa.2025.065798 - 30 June 2025

Abstract This study explored how perceived social support (PSS) influences the sense of meaning in life (SML) among rural college students, considering positive coping styles (PCS) as a mediator and psychological resilience (PR) as a moderator. 1444 college students (females; 23.55% only child; M_age = 19.76 years, SD = 1.07; 76.66%) were recruited from Jilin province in China. The college students self-reported their perceived social support and positive coping styles, psychological resilience, and sense of meaning in life. The results indicated that higher perceived social support predicted higher college students’ sense of meaning in life. Perceived social… More >

Chengcheng Sha, Lin Wang, Xiaolei Pan^*

Journal of Psychology in Africa, Vol.35, No.2, pp. 207-214, 2025, DOI:10.32604/jpa.2025.065761 - 30 June 2025

Abstract This study investigated the relationship between AI anxiety and deviant behavior, as well as the roles of emotional exhaustion and leader support in this context. The sample comprised 381 Chinese e-commerce employees (72.7% female, age range 21–36 years). The results of the Process model analysis indicate that AI anxiety significantly is associated with higher deviant behaviour. Emotional exhaustion partially mediates this relationship between AI anxiety and employee deviant behavior exacerbating deviant behaviour. Leader support moderates the AI anxiety effect on emotional exhaustion such that when leader support is low. AI anxiety is associated with higher More >

Sana Shahab¹, Ibtehal Alazman², Ashit Kumar Dutta³, Mohd Anjum⁴, Vladimir Simic^5,6,7,*, Željko Stević⁸, Nouf Abdulrahman Alqahtani²

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 2155-2183, 2025, DOI:10.32604/cmes.2025.064553 - 30 May 2025

Abstract With the increasing complexity of hotel selection, traditional decision-making models often struggle to account for uncertainty and interrelated criteria. Multi-criteria decision-making (MCDM) techniques, particularly those based on fuzzy logic, provide a robust framework for handling such challenges. This paper presents a novel approach to MCDM within the framework of Circular Intuitionistic Fuzzy Sets (C-IFS) by combining three distinct methodologies: Weighted Aggregated Sum Product Assessment (WASPAS), an Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN), and the CRITIC method (Criteria Importance Through Intercriteria Correlation). To address the dynamic nature of traveler preferences in hotel selection,… More >

Kun Li¹, Tianfu Li^2,*, Xiuwei Wang¹, Qingchun Meng¹, Zhenjie Wang¹, Jinyang Luo^1,2, Zhaohui Wang¹, Yuedong Yao²

Energy Engineering, Vol.122, No.6, pp. 2215-2238, 2025, DOI:10.32604/ee.2025.062876 - 29 May 2025

Abstract CO₂ flooding for enhanced oil recovery (EOR) not only enables underground carbon storage but also plays a critical role in tertiary oil recovery. However, its displacement efficiency is constrained by whether CO₂ and crude oil achieve miscibility, necessitating precise prediction of the minimum miscibility pressure (MMP) for CO₂-oil systems. Traditional methods, such as experimental measurements and empirical correlations, face challenges including time-consuming procedures and limited applicability. In contrast, artificial intelligence (AI) algorithms have emerged as superior alternatives due to their efficiency, broad applicability, and high prediction accuracy. This study employs four AI algorithms—Random Forest Regression (RFR), Genetic… More >