Yungui Guo^*, Xuan Fan

Journal of Psychology in Africa, Vol.35, No.6, pp. 791-796, 2025, DOI:10.32604/jpa.2025.067238 - 30 December 2025

Abstract This study examined the moderating role of employees’ learning orientation on the relationship between leaders’ artificial intelligence symbolization behavior (LAISB), employees’ attitude towards digital transformation (ATDT), and enterprise digital transformation. The sample consisted of 261 employees from five enterprises in China (female = 34.5%; primary industry includes the internet and transportation; mean age = 42.51 years, SD = 8.63 years; bachelor’s degree or above = 72.8%). The results of structural equation modeling and simple slope test indicated that LAISB predicted higher enterprise digital transformation, with ATDT partial mediation. Furthermore, employees’ learning orientation weakened the relationship More >

Md Salah Uddin^*

Journal of Polymer Materials, Vol.42, No.4, pp. 1051-1073, 2025, DOI:10.32604/jpm.2025.070688 - 26 December 2025

Abstract Carbon fiber-reinforced composites (CFRCs) have a wide range of applications in the aerospace, automotive, and energy sectors. A higher specific strength-to-weight ratio is desired in high-performance applications. The failure mechanism of CFRCs involves multiscale phenomena, such as failure that can occur at the matrix, fibers, interface, layers, lamina, and laminates. When an impactor hits the CFRCs, the design involves analyzing each of these stages to prevent failure and optimize the properties of CFRCs under various loading conditions. A numerical model was employed to predict the fracture toughness of CFRCs with varying weight fractions and orientations.… More >

Zhijun Liu^*, Junlong Zhang

Journal of Psychology in Africa, Vol.35, No.5, pp. 575-586, 2025, DOI:10.32604/jpa.2025.067476 - 24 October 2025

Abstract This study examined the relationships among social support, career decision-making self-efficacy, goal orientation, and career adaptability, highlighting the bridging roles of career decision-making self-efficacy and goal orientation. A total of 1433 Chinese university students (female = 70.7%; urban = 55.3%, mean age = 19.73 years, SD = 1.60 years) completed validated measures of career adaptability, social support, career decision-making self-efficacy, and goal orientation. Network analysis revealed that social support was associated with higher career adaptability indirectly through career decision-making self-efficacy and goal orientation, which function as key bridging mechanisms. Moreover, urban college students demonstrated greater More >

Ibrahim T. Teke^1,2, Ahmet H. Ertas^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 201-237, 2025, DOI:10.32604/cmes.2025.066644 - 31 July 2025

Abstract Fatigue failure continues to be a significant challenge in designing structural and mechanical components subjected to repeated and complex loading. While earlier studies mainly examined material properties and how stress affects lifespan, this review offers the first comprehensive, multiscale comparison of strategies that optimize geometry to improve fatigue performance. This includes everything from microscopic features like the shape of graphite nodules to large-scale design elements such as fillets, notches, and overall structural layouts. We analyze and combine various methods, including topology and shape optimization, the ability of additive manufacturing to fine-tune internal geometries, and reliability-based More >

Yang Jia^1,2, Yanyan Zhang^1,*

Journal of Psychology in Africa, Vol.35, No.3, pp. 385-392, 2025, DOI:10.32604/jpa.2025.068041 - 31 July 2025

Abstract This study investigated the political, economic, social, and cultural environment perceptions on international students that define their acculturation and health related quality of life. Participants were 117 international students from 32 countries attending a Chinese university (females = 43%, mean age = 21.17 years, SD = 4.45 years). They reported on their acculturation to China and physical and psychological well-being. Results from t-tests and correlation analyses indicate political liberals had more positive attitudes toward China than the conservatives, and higher self-reported physical and psychological results. Higher scores on the “interdependence” dimension of self-construal, as well as More >

Junfei Dai^1,*, Weijiang Chu^2,3,*, Xiangming Ge^2,3, Qingxiang Meng⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3253-3277, 2025, DOI:10.32604/cmes.2025.065063 - 30 June 2025

Abstract The configuration of underground powerhouses is crucial in pumped-storage hydropower projects, which play a vital role in maintaining grid stability, facilitating the integration of renewable energy sources, and managing flood risks. However, geotechnical challenges, such as complex joint orientations, anisotropy in in-situ stress, and rock damage caused by excavation, require thorough stability assessments. This research employs the ubiquitous anisotropic joint model within FLAC3D to investigate the effects of joint dip angle, joint dip direction, and the alignment of in-situ stress on the stability of surrounding rock formations. The key parameters analyzed include joint cohesion, friction angle, More >

Weixiang Peng¹, Hortense Le Ferrand^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.011119

Abstract Natural structural materials have undergone extensive evolution, resulting in intricate microstructural designs over billions of years. These designs have given rise to a diverse array of hierarchical microstructures that exhibit exceptional performance in terms of strength, resilience, toughness, and adaptability [1]. Among these natural microstructures, the microplatelet-based brick-and-mortar arrangement found in the nacreous layers of seashells has been the subject of extensive study. Additionally, more complex microstructural alignments exist, and these mineral orientations showcase varying properties, such as the shrinkage deformations. Inspired by the observed expansion deformation characteristics in nature, this study delves into the… More >

Saad M. Darwish^1,*, Abdul Rahman M. Sabri², Dhafar Hamed Abd², Adel A. Elzoghabi¹

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1595-1624, 2024, DOI:10.32604/csse.2024.054615 - 22 November 2024

Abstract The number of blogs and other forms of opinionated online content has increased dramatically in recent years. Many fields, including academia and national security, place an emphasis on automated political article orientation detection. Political articles (especially in the Arab world) are different from other articles due to their subjectivity, in which the author’s beliefs and political affiliation might have a significant influence on a political article. With categories representing the main political ideologies, this problem may be thought of as a subset of the text categorization (classification). In general, the performance of machine learning models… More >

Donghua Dai^1,2,*, Yanze Li^1,2, Dongdong Gu^1,2,*, Wentai Zhao^1,2, Yuhang Long^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012500

Abstract Laser Directed Energy Deposition (LDED) technology was employed to fabricate internal structures within the hollow interiors of rotating parts, such as tubes and cylinders. A three-dimensional transient multiphysics model for C276 material was developed, which anticipated the impact of angular velocity from tube rotation on various aspects. This model, validated by experiments, focused on the melt pool morphology, Marangoni convection, oriented crystal microevolution, and deposited material microhardness. It was found that at 150 ms deposition, the dimensions of the melt pool stabilized. With an increase in the Peclet number, heat transfer within the melt pool… More >

Dhia K. Suker, Ahmed R. Abdo^*, Khalid Abdulkhaliq M. Alharbi

Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 929-947, 2024, DOI:10.32604/iasc.2024.056341 - 31 October 2024

Abstract This paper presents a deep learning Convolutional Neural Network (CNN) for predicting grain orientations from electron backscatter diffraction (EBSD) patterns. The proposed model consists of multiple neural network layers and has been trained on a dataset of EBSD patterns obtained from stainless steel 316 (SS316). Grain orientation changes when considering the effects of temperature and strain rate on material deformation. The deep learning CNN predicts material orientation using the EBSD method to address this challenge. The accuracy of this approach is evaluated by comparing the predicted crystal orientation with the actual orientation under different conditions, More >