Changyu Jeon, Younghoon Kim^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3723-3745, 2025, DOI:10.32604/cmes.2025.073030 - 23 December 2025

Abstract Accurate State-of-Health (SOH) prediction is critical for the safe and efficient operation of lithium-ion batteries (LiBs). However, conventional methods struggle with the highly nonlinear electrochemical dynamics and declining accuracy over long-horizon forecasting. To address these limitations, this study proposes CIPF-Informer, a novel digital twin framework that integrates the Informer architecture with Channel Independence (CI) and a Particle Filter (PF). The CI mechanism enhances robustness by decoupling multivariate state dependencies, while the PF captures the complex stochastic variations missed by purely deterministic models. The proposed framework was evaluated using the Massachusetts Institute of Technology (MIT) battery More >

Yassir M. Abbas^*, Abdulaziz Alsaif^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1789-1819, 2025, DOI:10.32604/cmes.2025.073088 - 26 November 2025

Abstract The rapid advancement of three-dimensional printed concrete (3DPC) requires intelligent and interpretable frameworks to optimize mixture design for strength, printability, and sustainability. While machine learning (ML) models have improved predictive accuracy, their limited transparency has hindered their widespread adoption in materials engineering. To overcome this barrier, this study introduces a Random Forests ensemble learning model integrated with SHapley Additive exPlanations (SHAP) and Partial Dependence Plots (PDPs) to model and explain the compressive strength behavior of 3DPC mixtures. Unlike conventional “black-box” models, SHAP quantifies each variable’s contribution to predictions based on cooperative game theory, which enables… More >

Tong Wu^*, Dawei Zhou

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3067-3094, 2025, DOI:10.32604/cmc.2025.066525 - 23 September 2025

Abstract Fault attacks have emerged as an increasingly effective approach for integrated circuit security attacks due to their short execution time and minimal data requirement. However, the lack of a unified leakage model remains a critical challenge, as existing methods often rely on algorithm-specific details or prior knowledge of plaintexts and intermediate values. This paper proposes the Fault Probability Model based on Hamming Weight (FPHW) to address this. This novel statistical framework quantifies fault attacks by solely analyzing the statistical response of the target device, eliminating the need for attack algorithm details or implementation specifics. Building… More >

Ziyuan Meng, Yongjun Chen, Hui Wang^*

Journal of Psychology in Africa, Vol.35, No.4, pp. 489-496, 2025, DOI:10.32604/jpa.2025.070068 - 17 August 2025

Abstract This study tested a multilevel model of the workplace territorial behaviors and employees’ knowledge sharing relationship, with team identification serving as a mediator and task interdependence as a moderator. Data were collected from 253 employees (females = 128, mean age = 28.626, SD = 6.470) from 40 work teams from different industries in China. Path analysis results indicated that workplace territorial behaviors were associated with lower employee knowledge sharing. Team identification enhanced employee knowledge sharing and partially mediated the relationship between workplace territorial behaviors and employee knowledge sharing. Task interdependence enhanced knowledge sharing and strengthened More >

M. A. H. Nizam¹, A. F. Fuzlin^1,2, A. S. Samsudin^1,2,*

Journal of Polymer Materials, Vol.42, No.1, pp. 173-185, 2025, DOI:10.32604/jpm.2025.059244 - 27 March 2025

Abstract This work explores the dielectric and electrochemical properties of solid biopolymer blend electrolytes (SBEs) based on a combination of alginate and polyvinyl alcohol (PVA), doped with varying concentrations of ammonium iodide (NH₄I). The SBEs were synthesized using the solution casting method, and their ac conductivity exhibited an optimal value of 1.01 × 10⁻⁵ S · cm⁻¹ at 25 wt.% NH₄I. Detailed dielectric and modulus spectroscopy analyses revealed distinctive trends in relation to NH₄I concentration, suggesting complex dielectric relaxation behavior. The universal power law (UPL) analysis identified the Small Polaron Hopping (SPH) mechanism as the dominant conduction process in More >

Haishui Han¹, Jian Tan¹, Junshi Li¹, Changhong Zhao², Ruoyu Liu¹, Qun Zhang^3,4, Zemin Ji^3,4, Hao Kang^5,6,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 293-308, 2025, DOI:10.32604/fdmp.2025.058989 - 06 March 2025

Abstract To address the water sensitivity of conglomerate reservoirs, a series of core sensitivity tests were conducted to evaluate the effects of varying ionic content. These findings serve as a foundation for improving reservoir fluid dynamics and optimizing the concentration of anti-swelling agents in water flooding operations. The experiments revealed a marked disparity in response between cores with differing permeabilities. In Core No. 5, characterized by low permeability, a 0.5% anti-swelling agent achieved only a modest 7.47% reduction in water sensitivity. Conversely, in the higher-permeability Core No. 8, a 5% anti-swelling agent significantly reduced the… More >

Yuan Xu^1,*, Govind Gour², Manuela Galati³, Abdollah Saboori³, Antonio Pellegrino⁴

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.013220

Abstract The dynamic behaviour of Ti-6Al-2Sn-4Zr-2Mo additively manufactured by electron beam melting (EBM) is presented in this study considering synchronised tension-torsion loading. A bespoke spilt Hopkinson Tension-Torsion bar is used to generate combined tensile and torsional stress pulses that interact simultaneously with a novel specimen geometry. High-speed digital imaging correlation techniques are employed to assess the high-rate deformation and crack propagation of the specimen. The material's dynamic response was analysed across a spectrum of stress states, including uniaxial tension, shear, and combinations of tension and shear at strain rates ranging between 500 s^-1 and 2000 s^-1. Comparable More >

Ting Cai¹, Chun Ye¹, Zhiwei Ye^1,*, Ziyuan Chen¹, Mengqing Mei¹, Haichao Zhang¹, Wanfang Bai², Peng Zhang³

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1157-1175, 2024, DOI:10.32604/cmc.2024.055080 - 15 October 2024

Abstract The world produces vast quantities of high-dimensional multi-semantic data. However, extracting valuable information from such a large amount of high-dimensional and multi-label data is undoubtedly arduous and challenging. Feature selection aims to mitigate the adverse impacts of high dimensionality in multi-label data by eliminating redundant and irrelevant features. The ant colony optimization algorithm has demonstrated encouraging outcomes in multi-label feature selection, because of its simplicity, efficiency, and similarity to reinforcement learning. Nevertheless, existing methods do not consider crucial correlation information, such as dynamic redundancy and label correlation. To tackle these concerns, the paper proposes a More >

Kun Liu^1,2, Peiran Li³, Yu Zhang^1,*, Jia Ren¹, Ming Li⁴, Xianyu Wang², Cong Li²

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2535-2555, 2024, DOI:10.32604/cmc.2024.052166 - 15 August 2024

Abstract When learning the structure of a Bayesian network, the search space expands significantly as the network size and the number of nodes increase, leading to a noticeable decrease in algorithm efficiency. Traditional constraint-based methods typically rely on the results of conditional independence tests. However, excessive reliance on these test results can lead to a series of problems, including increased computational complexity and inaccurate results, especially when dealing with large-scale networks where performance bottlenecks are particularly evident. To overcome these challenges, we propose a Markov blanket discovery algorithm based on constrained local neighborhoods for constructing undirected… More >

Xue Wen^1,2, Yuyang Zhou³, Jiaxuan Du⁴, Xiaoyan Liu¹, Wei Xu^1,2,*

International Journal of Mental Health Promotion, Vol.26, No.7, pp. 589-598, 2024, DOI:10.32604/ijmhp.2024.053095 - 30 July 2024

Abstract Communication could be an essential part of couples in their daily life. Based on Monitor and Acceptance Theory (MAT), the present study explored the mediating role of communication in the relationship between mindfulness and relationship quality among college-student couples. The research examined the dynamic relationship of monitoring and acceptance to relationship satisfaction in the Actor-Partner Interdependence Model (APIM), and the mediating effect of positive or negative communications in these relationships. A total of 96 pairs of couples in the universities in Nanjing, China participated in the research. Momentary measurements were used to measure the momentary More >