Abrar M. Alajlan^1,*, Marwah M. Almasri²

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5237-5262, 2025, DOI:10.32604/cmc.2025.066736 - 23 October 2025

Abstract Cyber-Physical Systems integrated with information technologies introduce vulnerabilities that extend beyond traditional cyber threats. Attackers can non-invasively manipulate sensors and spoof controllers, which in turn increases the autonomy of the system. Even though the focus on protecting against sensor attacks increases, there is still uncertainty about the optimal timing for attack detection. Existing systems often struggle to manage the trade-off between latency and false alarm rate, leading to inefficiencies in real-time anomaly detection. This paper presents a framework designed to monitor, predict, and control dynamic systems with a particular emphasis on detecting and adapting to… More >

Qiuze Yao, Zhensheng Wu, Xiang Peng^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.011507

Abstract Fiber-reinforced composites are widely applied in various fields due to their high strength and modulus, and analyzing their physical field is crucial for improving material performance and structural design. However, traditional analysis methods, such as finite element analysis (FEM) and numerical computation are still limited by computational efficiency and accuracy when applied to microstructures. To address this challenge, convolutional neural network (CNN) approaches are being developed to quickly and accurately predict the physical fields in fiber-reinforced composites. Under static loading, the U-Net framework is developed with an adaptive two-stage training approach to address the generalization… More >

Zehui Zhou¹, Juan Song^2,*, Kelei Guo^1,*

Journal of Psychology in Africa, Vol.35, No.5, pp. 689-694, 2025, DOI:10.32604/jpa.2025.066954 - 24 October 2025

Abstract This study explored the relationship between physical exercise and college students’ mental health, as well as the mediating role of peer relationships and self-esteem. Participants were 1513 undergraduate students (first to fourth year) from six universities in Guangdong Province, China. They completed the Physical Exercise Scale, College Student Mental Health Scale, Peer Relationship Scale, and Self-Esteem Scale. The results following correlation analysis, structural equation modeling, and the bias-corrected percentile bootstrap method indicated. (1) Physical exercise was positively correlated with the mental health of college students and the direct path was significant; (2) Physical exercise and… More >

Dingmeng Mao¹, Guannan Bai², Lin Yang^3,4,5, Jane Jie Yu^1,*

International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1221-1235, 2025, DOI:10.32604/ijmhp.2025.069810 - 30 September 2025

Abstract Background: Physical inactivity among adolescents has become a global public health challenge, with over 80% failing to meet the recommendations of the WHO for activity levels. Existing research predominantly examines how physical activity (PA) enhances resilience, while the predictive role of resilience in PA, particularly its interaction with family factors, has received limited attention. This study aimed to examine the associations between resilience and PA among adolescents, focusing on family functioning and gender differences. Methods: In this cross-sectional study, a total of 909 Chinese adolescents (463 males and 446 females, aged 13.3 ± 0.5 years)… More >

Salam Al-E’mari¹, Yousef Sanjalawe^2,*, Budoor Allehyani³, Ghader Kurdi⁴, Sharif Makhadmeh², Ameera Jaradat⁵, Duaa Hijazi⁶

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3289-3320, 2025, DOI:10.32604/cmc.2025.067950 - 23 September 2025

Abstract Electric Vehicle Charging Systems (EVCS) are increasingly vulnerable to cybersecurity threats as they integrate deeply into smart grids and Internet of Things (IoT) environments, raising significant security challenges. Most existing research primarily emphasizes network-level anomaly detection, leaving critical vulnerabilities at the host level underexplored. This study introduces a novel forensic analysis framework leveraging host-level data, including system logs, kernel events, and Hardware Performance Counters (HPC), to detect and analyze sophisticated cyberattacks such as cryptojacking, Denial-of-Service (DoS), and reconnaissance activities targeting EVCS. Using comprehensive forensic analysis and machine learning models, the proposed framework significantly outperforms existing More >

Taizhi Shen¹, Gang Chen¹, Jiang Bai¹, Dan Zhang^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1917-1934, 2025, DOI:10.32604/fdmp.2025.067114 - 12 September 2025

Abstract Deep shale reservoirs are often associated with extreme geological conditions, including high temperatures, substantial horizontal stress differences, elevated closure stresses, and high breakdown pressures. These factors pose significant challenges to conventional hydraulic fracturing with water-based fluids, which may induce formation damage and fail to generate complex fracture networks. Supercritical carbon dioxide (SC-CO₂), with its low viscosity, high diffusivity, low surface tension, and minimal water sensitivity, has attracted growing attention as an alternative fracturing fluid for deep shale stimulation. This study presents a series of true triaxial large-scale physical experiments using shale samples from the Longmaxi Formation More >

Shubham Desai, Sai Sidhardh^*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1271-1334, 2025, DOI:10.32604/cmes.2025.068141 - 31 August 2025

Abstract The increasing integration of small-scale structures in engineering, particularly in Micro-Electro-Mechanical Systems (MEMS), necessitates advanced modeling approaches to accurately capture their complex mechanical behavior. Classical continuum theories are inadequate at micro- and nanoscales, particularly concerning size effects, singularities, and phenomena like strain softening or phase transitions. This limitation follows from their lack of intrinsic length scale parameters, crucial for representing microstructural features. Theoretical and experimental findings emphasize the critical role of these parameters on small scales. This review thoroughly examines various strain gradient elasticity (SGE) theories commonly employed in literature to capture these size-dependent effects… More >

Phu Tran Tin¹, Minh-Sang Van Nguyen², Quy-Anh Bui¹, Agbotiname Lucky Imoize³, Byung-Seo Kim^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2521-2543, 2025, DOI:10.32604/cmes.2025.066669 - 31 August 2025

Abstract Digital content such as games, extended reality (XR), and movies has been widely and easily distributed over wireless networks. As a result, unauthorized access, copyright infringement by third parties or eavesdroppers, and cyberattacks over these networks have become pressing concerns. Therefore, protecting copyrighted content and preventing illegal distribution in wireless communications has garnered significant attention. The Intelligent Reflecting Surface (IRS) is regarded as a promising technology for future wireless and mobile networks due to its ability to reconfigure the radio propagation environment. This study investigates the security performance of an uplink Non-Orthogonal Multiple Access (NOMA)… More >

Ye Hoon Lee¹, Yoonjung Park^2,*

International Journal of Mental Health Promotion, Vol.27, No.8, pp. 1133-1148, 2025, DOI:10.32604/ijmhp.2025.069800 - 29 August 2025

Abstract Objectives: Population aging is occurring at a rapid speed all over the world, bringing considerable public health challenges, including for the mental health of older adults. Considering that older populations are prone to depression and stress, the need for effective preventive interventions is critical. Thus, we conducted a study aimed at exploring the preventive impact of a community-based Tai Chi program over 8 weeks on depression and perceived stress in healthy older adults in South Korea. Methods: A quasi-experimental design was utilized, with 63 older adults participating (31 individuals in the Tai Chi group and… More >

Zhiyan Xiao¹, Xiangqin Song^2,*

International Journal of Mental Health Promotion, Vol.27, No.8, pp. 1101-1116, 2025, DOI:10.32604/ijmhp.2025.066316 - 29 August 2025

Abstract Objectives: Adults with cataracts are often reported with mental health issues, which has driven researchers to identify modifiable factors so that effective intervention programs can be timely implemented. Thus, we investigated associations of physical activity (PA) and sedentary behavior (SB) with stress, anxiety, and sleep problems among adults with cataracts. Methods: In this cross-sectional study, a total of 2219 participants with cataracts completed self-reported measures on demographic characteristics (e.g., age and sex), PA, SB, anxiety, stress and sleep problems. Multiple linear regression and logistic analyses adjusted for covariates were employed to examine the associations of… More >