Bing Wei, Ming Zhong, Qian Chen, Yi Wu^*, Yubin Li

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-20, 2026, DOI:10.32604/cmc.2025.069910 - 09 December 2025

Abstract In erasure-coded storage systems, updating data requires parity maintenance, which often leads to significant I/O amplification due to “write-after-read” operations. Furthermore, scattered parity placement increases disk seek overhead during repair, resulting in degraded system performance. To address these challenges, this paper proposes a Cognitive Update and Repair Method (CURM) that leverages machine learning to classify files into write-only, read-only, and read-write categories, enabling tailored update and repair strategies. For write-only and read-write files, CURM employs a data-difference mechanism combined with fine-grained I/O scheduling to minimize redundant read operations and mitigate I/O amplification. For read-write files,… More >

Roland Mangold, Timea Teglas^*

BIOCELL, Vol.49, No.12, pp. 2239-2244, 2025, DOI:10.32604/biocell.2025.069925 - 24 December 2025

Abstract The quality of life in older adulthood is greatly influenced by cognitive aging, which in turn is affected by nutrition, especially as it relates to hippocampal function. Although the link between hippocampal function and nutrition is defined, the exact mechanics are still unknown. The commentary addresses how docosahexaenoic acid (DHA) contributes to age-related cognitive decline and may play a role in promoting neurogenesis and neuroplasticity on the molecular level. The current challenge to our understanding is to investigate how DHA influences hippocampal function and cognitive aging, which would be possible and even more detailed with More >

Yuchao Pan^*

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1769-1780, 2025, DOI:10.32604/ijmhp.2025.070147 - 28 November 2025

Abstract Objectives: While organizations are increasingly adopting artificial intelligence (AI), its effects on employees’ well-being remain poorly understood. Drawing on social cognitive theory, this study aimed to examine the underlying mechanism through which organizational AI adoption influences employees’ well-being. Methods: A two-wave time-lagged research design was conducted with 262 Chinese employees employing a voluntary and anonymous survey. The survey included measures of organizational AI adoption, AI use anxiety, job insecurity, subjective well-being, and psychological well-being. The data were analyzed using SPSS 26.0 software and macro PROCESS. Results: The moderation analysis revealed that AI use anxiety moderated the association… More >

Nujud Aloshban^*, Abeer A.K. Alharbi

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4795-4826, 2025, DOI:10.32604/cmc.2025.067523 - 23 October 2025

Abstract The rise of 6G networks and the exponential growth of smart city infrastructures demand intelligent, real-time traffic forecasting solutions that preserve data privacy. This paper introduces NeuroCivitas, a federated deep learning framework that integrates Convolutional Neural Networks (CNNs) for spatial pattern recognition and Long Short-Term Memory (LSTM) networks for temporal sequence modeling. Designed to meet the adaptive intelligence requirements of cognitive cities, NeuroCivitas leverages Federated Averaging (FedAvg) to ensure privacy-preserving training while significantly reducing communication overhead—by 98.7% compared to centralized models. The model is evaluated using the Kaggle Traffic Prediction Dataset comprising 48,120 hourly records… More >

Juan Guerrero-Martín^*, Eladio Estella-Nonay, Margarita Bachiller-Mayoral, Mariano Rincón

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4729-4752, 2025, DOI:10.32604/cmc.2025.066083 - 23 October 2025

Abstract Neuropsychological tests, such as the Rey-Osterrieth complex figure (ROCF) test, help detect mild cognitive impairment (MCI) in adults by assessing cognitive abilities such as planning, organization, and memory. Furthermore, they are inexpensive and minimally invasive, making them excellent tools for early screening. In this paper, we propose the use of image analysis models to characterize the relationship between an individual’s ROCF drawing and their cognitive state. This task is usually framed as a classification problem and is solved using deep learning models, due to their success in the last decade. In order to achieve good… More >

Yulin Yao, Kangfeng Zheng, Bin Wu^*, Chunhua Wu, Jiaqi Gao, Jvjie Wang, Minjiao Yang

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4753-4776, 2025, DOI:10.32604/cmc.2025.065059 - 23 October 2025

Abstract Cognitive biases are commonly used by attackers to manipulate users’ psychology in phishing emails. This study systematically analyzes the exploitation of cognitive biases in phishing emails and addresses the following questions: (1) Which cognitive biases are frequently exploited in phishing emails? (2) How are cognitive biases exploited in phishing emails? (3) How effective are cognitive bias features in detecting phishing emails? (4) How can the exploitation of cognitive biases in phishing emails be modelled? To address these questions, this study constructed a cognitive processing model that explains how attackers manipulate users by leveraging cognitive biases More >

Miao Wang¹, Menglin Zhao¹, Dangyang Ma¹, Xinyu Ji¹, Donghe Li², Zhansheng Xu^1,3,4,*

International Journal of Mental Health Promotion, Vol.27, No.8, pp. 1165-1180, 2025, DOI:10.32604/ijmhp.2025.067133 - 29 August 2025

Abstract Background: With the proliferation of smartphones, adolescent mobile phone dependency has intensified, potentially precipitating academic burnout and other adverse outcomes among students. Contemporary study mostly examines college populations, resulting in a lack of exploration on the internal mechanisms connecting mobile phone dependency to academic burnout. In addition to analysing the chain-mediated effects of sleep quality and cognitive flexibility, this study sought to provide theoretical insights for prevention by applying the Conservation of Resources theory to examine the relationship between academic burnout and mobile phone dependency among middle and high school students. Methods: A cluster convenience… More >

Abdulatif Alabdulatif^*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1185-1220, 2025, DOI:10.32604/cmc.2025.066898 - 29 August 2025

Abstract FedCognis is a secure and scalable federated learning framework designed for continuous anomaly detection in Industrial Internet of Things-enabled Cognitive Cities (IIoTCC). It introduces two key innovations: a Quantum Secure Authentication (QSA) mechanism for adversarial defense and integrity validation, and a Self-Attention Long Short-Term Memory (SALSTM) model for high-accuracy spatiotemporal anomaly detection. Addressing core challenges in traditional Federated Learning (FL)—such as model poisoning, communication overhead, and concept drift—FedCognis integrates dynamic trust-based aggregation and lightweight cryptographic verification to ensure secure, real-time operation across heterogeneous IIoT domains including utilities, public safety, and traffic systems. Evaluated on the More >

Qing Wang¹, Haiyan Xu², Xuhuan Wang^2,*

Journal of Psychology in Africa, Vol.35, No.4, pp. 497-503, 2025, DOI:10.32604/jpa.2025.070069 - 17 August 2025

Abstract This study investigated the relationship between parental cognitive ability and child logical reasoning ability, and the role of academic expectation and family environment in that relationship. Based on the 2020 China Family Panel Studies (CFPS) data, 1491 children (girls ratio = 53.78%; average grade = 6.023 years, school grade standard deviation = 1.825 years). Results following multiple regression model (OLS) show that the higher the parental cognitive ability, the higher the children’s logical reasoning ability. Secondly, parental academic expectation serves as a mediator between their cognitive ability and children’s logical reasoning ability for higher logical More >

Rwaa Omer Ali Ahmed¹, Salaheldin Farah Attallah Bakhiet^2,*, Ayman Mohamed Taha Abdelaziz Ahmed¹, FadlAlMawla AbdulRadi¹, Ismael Salamah Albursan³

Journal of Psychology in Africa, Vol.35, No.4, pp. 431-439, 2025, DOI:10.32604/jpa.2025.070057 - 17 August 2025

Abstract The study aims to determine the validity and reliability of the Wechsler Preschool and Primary Scale of Intelligence–Third Edition (WPPSI-III) scores in a sample of kindergarten and lower primary pupils from Khartoum State, Sudan. It also aims to examine whether test’s factor structure in this sample replicated that of the original WPPSI-III. The study sample consisted of 384 kindergarten and primary school children in Khartoum State (females = 50% mean age = 4.14, SD = 1.37), selected using stratified random sampling across its seven localities: Khartoum, Jebel Awliya, Khartoum Bahri, East Nile, Omdurman, Ombada, Karari.… More >