Kagiso Komane^1,*, Lucas Khoza², Fani Radebe¹

Journal of Cyber Security, Vol.7, pp. 79-108, 2025, DOI:10.32604/jcs.2025.059712 - 20 May 2025

Abstract Financial support, government support, cyber hygiene, and ongoing education and training as well as parental guidance and supervision are all essential components of cybersecurity awareness (CSA) identified in this study among the youth. It’s critical to realize that adequate funding is needed to effectively increase CSA, particularly among South African youth. Previous studies have demonstrated several ways to address inadequate CSA by utilizing various cybersecurity frameworks, ideas, and models. To increase CSA, this literature review seeks to emphasize the significance of integrating cybersecurity education throughout the entire school curriculum. This paper identified ethical issues, protection… More >

John Nwoanjia¹, Jean Jalin Eyinga Biwôlé^1,2,*, Joseph Zobo Mfomo¹, Evariste Fedoung Fongnzossie¹, Antonio Pizzi², Salomé Ndjakomo Essiane³, Achille Bernard Biwole¹

Journal of Renewable Materials, Vol.13, No.5, pp. 901-914, 2025, DOI:10.32604/jrm.2025.02024-0005 - 20 May 2025

Abstract This review aims to identify the assets and limitations of Dabema (Piptadeniastrum africanum) as a sustainable alternative to traditional timber species for furniture and construction applications. Dabema is characterized by its high density and dimensional stability, meeting ASTM (American Society for Testing and Materials) standards for mechanical strength, which is essential for promoting its use. However, its limited availability in trade and ingrained habits of use are obstacles to its widespread commercialization. In addition, thermal and oleothermal treatments have shown great potential for improving the characteristics of this wood, although they require ongoing optimization and rigorous More > Graphic Abstract

Muhammad Qasim^1,2, Syed M. Adnan Shah¹, Qamas Gul Khan Safi¹, Danish Mahmood², Adeel Iqbal^3,*, Ali Nauman³, Sung Won Kim^3,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4429-4445, 2025, DOI:10.32604/cmc.2025.065060 - 19 May 2025

Abstract Grains are the most important food consumed globally, yet their yield can be severely impacted by pest infestations. Addressing this issue, scientists and researchers strive to enhance the yield-to-seed ratio through effective pest detection methods. Traditional approaches often rely on preprocessed datasets, but there is a growing need for solutions that utilize real-time images of pests in their natural habitat. Our study introduces a novel two-step approach to tackle this challenge. Initially, raw images with complex backgrounds are captured. In the subsequent step, feature extraction is performed using both hand-crafted algorithms (Haralick, LBP, and Color… More >

Takanobu Hirosawa^*, Taro Shimizu

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 3919-3944, 2025, DOI:10.32604/cmc.2025.063803 - 19 May 2025

Abstract Artificial Intelligence (AI) is fundamentally transforming medical diagnostics, driving advancements that enhance accuracy, efficiency, and personalized patient care. This narrative review explores AI integration across various diagnostic domains, emphasizing its role in improving clinical decision-making. The evolution of medical diagnostics from traditional observational methods to sophisticated imaging, laboratory tests, and molecular diagnostics lays the foundation for understanding AI’s impact. Modern diagnostics are inherently complex, influenced by multifactorial disease presentations, patient variability, cognitive biases, and systemic factors like data overload and interdisciplinary collaboration. AI-enhanced clinical decision support systems utilize both knowledge-based and non-knowledge-based approaches, employing machine… More >

Taher Alzahrani^*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4575-4606, 2025, DOI:10.32604/cmc.2025.063448 - 19 May 2025

Abstract The rapid evolution of malware presents a critical cybersecurity challenge, rendering traditional signature-based detection methods ineffective against novel variants. This growing threat affects individuals, organizations, and governments, highlighting the urgent need for robust malware detection mechanisms. Conventional machine learning-based approaches rely on static and dynamic malware analysis and often struggle to detect previously unseen threats due to their dependency on predefined signatures. Although machine learning algorithms (MLAs) offer promising detection capabilities, their reliance on extensive feature engineering limits real-time applicability. Deep learning techniques mitigate this issue by automating feature extraction but may introduce computational overhead,… More >

Hongliang Tian, Zhong Fan^*, Zhiyang Ruan, Aomen Zhao

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5199-5217, 2025, DOI:10.32604/cmc.2025.063274 - 19 May 2025

Abstract With the continuous growth of exponential data in IoT, it is usually chosen to outsource data to the cloud server. However, cloud servers are usually provided by third parties, and there is a risk of privacy leakage. Encrypting data can ensure its security, but at the same time, it loses the retrieval function of IoT data. Searchable Encryption (SE) can achieve direct retrieval based on ciphertext data. The traditional searchable encryption scheme has the problems of imperfect function, low retrieval efficiency, inaccurate retrieval results, and centralized cloud servers being vulnerable and untrustworthy. This paper proposes… More >

Hao Fang¹, Xiaoyu Xu^2,*

Journal of Psychology in Africa, Vol.35, No.1, pp. 151-157, 2025, DOI:10.32604/jpa.2025.065786 - 30 April 2025

Abstract This study explored the relationship between perceived social support and employment anxiety among Chinese college students, as well as the mediating and moderating effects of psychological resilience and career adaptability on this relationship. A total of 1928 college students (females = 1371, mean age = 20.42, SD = 1.05) completed the Perceived Social Support Scale, Employment Anxiety Questionnaire, Connor-Davidson Resilience Scale and Career Adapt-Abilities Scale. Mediation analysis results showed that psychological resilience mediated the relationship between perceived social support and employment anxiety for lower employment anxiety. Career adaptability moderated the mediating effect of psychological resilience More >

Xiaoying Zeng^1,*, Ying Liu², Yufei Li², Yongping Yu²

Journal of Psychology in Africa, Vol.35, No.1, pp. 91-97, 2025, DOI:10.32604/jpa.2025.065779 - 30 April 2025

Abstract This study constructed a moderated mediation model to examine how the social support received by teachers is associated with their work pay fairness perception in relation to their job satisfaction and job performance. Data were collected from 2411 preschool teachers in China (female = 98.01%; mean age = 29.12 years, SD = 6.28 years). These data were analyzed using structural equation modelling, bootstrapping and latent moderate structural equations. The results indicated that teachers’ perception of pay fairness is directly associated with self-rated job performance. Additionally, pay fairness perceptions have an indirect effect on higher job More >

Xi Chen^1,2, Qing Wang¹, Xiaoxiao Hong¹, Wanru Lin^1,*

Journal of Psychology in Africa, Vol.35, No.1, pp. 37-42, 2025, DOI:10.32604/jpa.2025.065760 - 30 April 2025

Abstract This study investigated the mediating role of basic psychological needs satisfaction in relationship between teacher support and adolescents’ personal growth initiative. A total of 493 adolescents (females = 44.8%, mean age = 12.46, SD = 0.57) completed the Teacher Support Scale, the Adolescents’ Personal Growth Initiative Scale, and the Basic Psychological Needs Scale. The results, analyzed through a Mediation model analysis results indicated higher teacher support to be significantly associated with higher adolescents’ personal growth initiative. Teacher support was also associated with higher basic psychological needs satisfaction. Basic psychological needs satisfaction mediated the relationship between teacher More >

José Antonio Climent-Rodríguez¹, Inmaculada González-Lepe², Juan Gómez-Salgado^3,4,*, Yolanda Navarro-Abal¹

International Journal of Mental Health Promotion, Vol.27, No.4, pp. 507-515, 2025, DOI:10.32604/ijmhp.2025.063497 - 30 April 2025

Abstract Background: Employment can support the recovery of individuals with Severe Mental Disorders by promoting autonomy, reducing hospital admissions and associated costs, fostering social connections, and providing structure to their daily lives. The objective of this pilot study was to analyse job satisfaction and perceived social support in people with severe mental disorders who are users of an Employment Guidance and Support Service in southern Spain. Methods: A descriptive cross-sectional pilot study was carried out with a sample of 39 workers with mental disorders from the province of Huelva (southern Spain) who were users of the… More >