Boda Zhang^1,*, Fuhua Luo¹, Yunhao Yu¹, Chameiling Di¹, Ruibin Wen¹, Fei Chen²

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.069323 - 27 January 2026

Abstract The increasing intelligence of power systems is transforming distribution networks into Cyber-Physical Distribution Systems (CPDS). While enabling advanced functionalities, the tight interdependence between cyber and physical layers introduces significant security challenges and amplifies operational risks. To address these critical issues, this paper proposes a comprehensive risk assessment framework that explicitly incorporates the physical dependence of information systems. A Bayesian attack graph is employed to quantitatively evaluate the likelihood of successful cyber attacks. By analyzing the critical scenario of fault current path misjudgment, we define novel system-level and node-level risk coupling indices to precisely measure the… More >

Francisco Daniel García^1,2, Solange Nicole Aigner^1,2, Natalia Raffaeli³, Antonio José Barotto³, Eleana Spavento³, Mariano Martín Escobar^1,4, Marcela Angela Mansilla^1,4, Alejandro Bacigalupe^1,4,*

Journal of Renewable Materials, Vol.14, No.1, 2026, DOI:10.32604/jrm.2025.02025-0181 - 23 January 2026

Abstract This study explores the use of black soldier fly larvae protein as a bio-based adhesive to produce particleboards from sugarcane bagasse. A comprehensive evaluation was conducted, including rheological characterization of the adhesive and physical–mechanical testing of the panels according to European standards. The black soldier fly larvae-based adhesive exhibited gel-like viscoelastic behavior, rapid partial structural recovery after shear, and favorable application properties. Particleboards manufactured with this adhesive and sugarcane bagasse achieved promising mechanical performance, with modulus of rupture and modulus of elasticity values of 30.2 and 3500 MPa, respectively. Internal bond strength exceeded 0.4 MPa,… More > Graphic Abstract

Gowrishankar Jayaraman¹, Ashok Kumar Munnangi², Ramesh Sekaran³, Arunkumar Gopu³, Manikandan Ramachandran^4,*

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071124 - 12 January 2026

Abstract Industrial Cyber-Physical Systems (ICPSs) play a vital role in modern industries by providing an intellectual foundation for automated operations. With the increasing integration of information-driven processes, ensuring the security of Industrial Control Production Systems (ICPSs) has become a critical challenge. These systems are highly vulnerable to attacks such as denial-of-service (DoS), eclipse, and Sybil attacks, which can significantly disrupt industrial operations. This work proposes an effective protection strategy using an Artificial Intelligence (AI)-enabled Smart Contract (SC) framework combined with the Heterogeneous Barzilai–Borwein Support Vector (HBBSV) method for industrial-based CPS environments. The approach reduces run time… More >

Jianhua Du¹, Shaofeng Wang¹, Ting Gao², Huiwen Sun², Wenjing Liu^1,*

Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.071189 - 08 January 2026

Abstract In ultrasonic non-destructive testing of high-temperature industrial equipment, sound velocity drift induced by non-uniform temperature fields can severely compromise defect localization accuracy. Conventional approaches that rely on room-temperature sound velocities introduce systematic errors, potentially leading to misjudgment of safety-critical components. Two primary challenges hinder current methods: first, it is difficult to monitor real-time changes in sound velocity distribution within a thermal gradient; second, traditional uniform-temperature correction models fail to capture the nonlinear dependence of material properties on temperature and their effect on ultrasonic velocity fields. Here, we propose a defect localization correction method based on… More >

Junwen Huo, Haicheng Liang, Weiye Dong, Xiaoming Du^*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-20, 2026, DOI:10.32604/cmc.2025.073285 - 09 December 2025

Abstract With the rapid advancement of electromagnetic launch technology, enhancing the structural stability and thermal resistance of armatures has become essential for improving the overall efficiency and reliability of railgun systems. Traditional aluminum alloy armatures often suffer from severe ablation, deformation, and uneven current distribution under high pulsed currents, which limit their performance and service life. To address these challenges, this study employs the Johnson–Cook constitutive model and the finite element method to develop armature models of aluminum matrix composites with varying heterogeneous graphene volume fractions. The temperature, stress, and strain of the armatures during operation… More >

S. H. Fan^1,*, Y. S. Song¹, H. J. Hou¹, H. L. Guo², S. R. Zhang³

Chalcogenide Letters, Vol.22, No.12, pp. 987-997, 2025, DOI:10.15251/CL.2025.2212.987 - 01 December 2025

Abstract Using first-principles calculations, the physical behavior of α-Cu₂Se are thoroughly examined. The computed structural parameters align closely with experimental data. Through computational analysis, the electronic properties for α-Cu₂Se are determined. Additionally, mechanical characteristics-including bulk modulus B, shear modulus G, Young’s modulus E, and B/G are evaluated under varying pressure conditions. Furthermore, the optical properties are investigated. The study reveals that α-Cu₂Se exhibits a direct bandgap of 0.782 eV, indicating its promising potential for optoelectronic applications. More >

Youngho Kim¹, Jonghwa Lee^2,*

International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1949-1960, 2025, DOI:10.32604/ijmhp.2025.072560 - 31 December 2025

Abstract Background: Shift-based occupations have been consistently linked to adverse psychological outcomes; however, limited research has examined how work schedule type and physical activity are jointly associated with mental health and job stress in public transportation employees, a population frequently exposed to irregular hours and safety-critical responsibilities. This study investigated the associations between work schedule type and physical activity with mental health indicators and job stress among Seoul Metro employees. Methods: A cross-sectional survey was administered to 298 full-time male employees of Seoul Metro. Participants were categorized by work schedule (shift vs. regular) and physical activity level… More >

Lei Zheng^1,*, Hong Pan^2,3, Yuelei Ruan^2,4, Guoxin Zhang¹, Lei Zhang^1,*, Jianda Xin¹, Zhenyang Zhu¹, Jianyao Zhang^2,5, Wei Liu¹

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3217-3241, 2025, DOI:10.32604/cmes.2025.074651 - 23 December 2025

Abstract As a critical material in construction engineering, concrete requires accurate prediction of its outlet temperature to ensure structural quality and enhance construction efficiency. This study proposes a novel hybrid prediction method that integrates a heat conduction physical model with a multilayer perceptron (MLP) neural network, dynamically fused via a weighted strategy to achieve high-precision temperature estimation. Experimental results on an independent test set demonstrated the superior performance of the fused model, with a root mean square error (RMSE) of 1.59°C and a mean absolute error (MAE) of 1.23°C, representing a 25.3% RMSE reduction compared to More >

Khalid Haseeb¹, Imran Qureshi^2,*, Naveed Abbas¹, Muhammad Ali³, Muhammad Arif Shah⁴, Qaisar Abbas²

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4349-4362, 2025, DOI:10.32604/cmes.2025.072326 - 23 December 2025

Abstract The rapid evolution of smart cities has led to the deployment of Cyber-Physical IoT Systems (CPS-IoT) for real-time monitoring, intelligent decision-making, and efficient resource management, particularly in intelligent transportation and vehicular networks. Edge intelligence plays a crucial role in these systems by enabling low-latency processing and localized optimization for dynamic, data-intensive, and vehicular environments. However, challenges such as high computational overhead, uneven load distribution, and inefficient utilization of communication resources significantly hinder scalability and responsiveness. Our research presents a robust framework that integrates artificial intelligence and edge-level traffic prediction for CPS-IoT systems. Distributed computing for More >

G. Yan^a, S. R. Zhang^a,*, H. J. Hou^b, Z. F. Yin^b, H. L. Guo^c

Chalcogenide Letters, Vol.22, No.1, pp. 33-42, 2025, DOI:10.15251/CL.2025.221.33

Abstract The theoretical approach was employed to comprehensively investigate the structural, dynamical, band structure, optical characteristics, and elastic anisotropy of CuAlS₂. The determined lattice parameters (a and c), elastic properties exhibit with the available data. The band structure and density of state indicates that CuAlS₂ exhibits semiconductor properties, characterized by a direct band gap measuring approximately 1.791 eV. The mechanical stability and optical properties of CuAlS₂ was calculated and analyzed. More >