Qing-Xing Qu^1,*, Le Zhang^2,*, Fu Guo¹, Vincent G. Duffy³

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4607-4627, 2025, DOI:10.32604/cmc.2025.069245 - 23 October 2025

Abstract This study aims to validate the Object-Oriented User Interface Customization (OOUIC) framework by employing Use Case Analysis (UCA) to facilitate the development of adaptive User Interfaces (UIs). The OOUIC framework advocates for User-Centered Design (UCD) methodologies, including UCA, to systematically identify intricate user requirements and construct adaptive UIs tailored to diverse user needs. To operationalize this approach, thirty users of Product Lifecycle Management (PLM) systems were interviewed across six distinct use cases. Interview transcripts were subjected to deductive content analysis to classify UI objects systematically. Subsequently, adaptive UIs were developed for each use case, and… More >

Asad Iqbal¹, Mehdi Hussain^1,*, Qaiser Riaz¹, Madiha Khalid¹, Rafia Mumtaz¹, Ki-Hyun Jung^2,*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1693-1714, 2025, DOI:10.32604/cmc.2025.064260 - 29 August 2025

Abstract Ransomware, particularly crypto-ransomware, remains a significant cybersecurity challenge, encrypting victim data and demanding a ransom, often leaving the data irretrievable even if payment is made. This study proposes an early detection approach to mitigate such threats by identifying ransomware activity before the encryption process begins. The approach employs a two-tiered approach: a signature-based method using hashing techniques to match known threats and a dynamic behavior-based analysis leveraging Cuckoo Sandbox and machine learning algorithms. A critical feature is the integration of the most effective Application Programming Interface call monitoring, which analyzes system-level interactions such as file More >

Hsin-Yi Kuo^*, Li-Huan Yang

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 841-872, 2025, DOI:10.32604/cmes.2025.065452 - 31 July 2025

Abstract This study aims to investigate the propagation of harmonic waves in nonlocal magneto-electro-elastic (MEE) laminated composites with interface stress imperfections using an analytical approach. The pseudo-Stroh formulation and nonlocal theory proposed by Eringen were adopted to derive the propagator matrix for each layer. Both the propagator and interface matrices were formulated to determine the recursive fields. Subsequently, the dispersion equation was obtained by imposing traction-free and magneto-electric circuit open boundary conditions on the top and bottom surfaces of the plate. Dispersion curves, mode shapes, and natural frequencies were calculated for sandwich plates composed of BaTiO₃ and More >

Mustafa Turkyilmazoglu^1,2,*, Abdulaziz Alotaibi³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2847-2865, 2025, DOI:10.32604/cmes.2025.068031 - 30 June 2025

Abstract The variable salinity in stored reservoirs connected by a long channel attracts the attention of scientists worldwide, having applications in environmental and geophysical engineering. This study explores the impact of Navier slip conditions on exchange flows within a long channel connecting two large reservoirs of differing salinity. These horizontal density gradients drive the flow. We modify the recent one-dimensional theory, developed to avoid runaway stratification, to account for the presence of uniform slip walls. By adjusting the parameters of the horizontal density gradient based on the slip factor, we resolve analytically various flow regimes ranging… More >

Lei Yang^1,*, Jianfeng Wang¹, Minjing Liu¹, Chunyu Chen², Zhanjun Wu^3,4

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 265-279, 2025, DOI:10.32604/cmc.2025.065676 - 09 June 2025

Abstract Embedding optical fiber sensors into composite materials offers the advantage of real-time structural monitoring. However, there is an order-of-magnitude difference in diameter between optical fibers and reinforcing fibers, and the detailed mechanism of how embedded optical fibers affect the micromechanical behavior and damage failure processes within composite materials remains unclear. This paper presents a micromechanical simulation analysis of composite materials embedded with optical fibers. By constructing representative volume elements (RVEs) with randomly distributed reinforcing fibers, the optical fiber, the matrix, and the interface phase, the micromechanical behavior and damage evolution under transverse tensile and compressive… More >

Veronika Dyakova^1,2,*, Olga Vlasova¹, Victor Kozlov¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 493-508, 2025, DOI:10.32604/fdmp.2025.060577 - 01 April 2025

Abstract An experimental investigation of the dynamics of the interface between two low-viscosity fluids with high density contrast oscillating in a fixed vertical slotted channel has been conducted. It has been found that as the amplitude of the liquid column oscillations increases, parametric oscillations of the interface are excited in the form of a standing wave located in the channel plane. In particular, depending on the interfacial tension, the standing waves have a frequency equal to that of liquid piston oscillations (harmonic response), or half of the frequency of oscillations of the liquid column in the… More >

Lei Zhang^1,2,*, Hangyuan Deng^1,2

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1-11, 2025, DOI:10.32604/cmc.2025.062666 - 26 March 2025

Abstract NJmat is a user-friendly, data-driven machine learning interface designed for materials design and analysis. The platform integrates advanced computational techniques, including natural language processing (NLP), large language models (LLM), machine learning potentials (MLP), and graph neural networks (GNN), to facilitate materials discovery. The platform has been applied in diverse materials research areas, including perovskite surface design, catalyst discovery, battery materials screening, structural alloy design, and molecular informatics. By automating feature selection, predictive modeling, and result interpretation, NJmat accelerates the development of high-performance materials across energy storage, conversion, and structural applications. Additionally, NJmat serves as an… More >

Chayut Bunterngchit¹, Laith H. Baniata², Mohammad H. Baniata³, Ashraf ALDabbas⁴, Mohannad A. Khair⁵, Thanaphon Chearanai⁶, Sangwoo Kang^2,*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 517-536, 2025, DOI:10.32604/cmc.2025.060368 - 26 March 2025

Abstract Stroke is a leading cause of death and disability worldwide, significantly impairing motor and cognitive functions. Effective rehabilitation is often hindered by the heterogeneity of stroke lesions, variability in recovery patterns, and the complexity of electroencephalography (EEG) signals, which are often contaminated by artifacts. Accurate classification of motor imagery (MI) tasks, involving the mental simulation of movements, is crucial for assessing rehabilitation strategies but is challenged by overlapping neural signatures and patient-specific variability. To address these challenges, this study introduces a graph-attentive convolutional long short-term memory (LSTM) network (GACL-Net), a novel hybrid deep learning model… More >

Kai Shi, Dongyang Yang^*

Energy Engineering, Vol.122, No.2, pp. 471-492, 2025, DOI:10.32604/ee.2025.059651 - 31 January 2025

Abstract The rapid development of new energy power generation technology and the transformation of power electronics in the core equipment of source-grid-load drives the power system towards the “double-high” development pattern of “high proportion of renewable energy” and “high proportion of power electronic equipment”. To enhance the transient performance of AC/DC hybrid microgrid (HMG) in the context of “double-high,” a type virtual synchronous generator (-VSG) control strategy is applied to bidirectional interface converter (BIC) to address the issues of lacking inertia and poor disturbance immunity caused by the high penetration rate of power electronic equipment and… More >

Ruikun Xu¹, Jiu Li¹, Wenjie Li¹, Wei Zhang^2,*

Structural Durability & Health Monitoring, Vol.19, No.2, pp. 285-305, 2025, DOI:10.32604/sdhm.2024.057513 - 15 January 2025

Abstract This study investigates the bond performance at the interfacial region shared by Ultra-High Performance Concrete (UHPC) and steel tubes through push-out tests. This study examines how changes in steel fiber volumetric ratio and thickness of steel tube influence the bond strength characteristics. The results show that as the enhancement of the steel tube wall thickness, the ultimate bond strength at the interface improves significantly, whereas the initial bond strength exhibits only slight variations. The influence of steel fiber volumetric ratio presents a nonlinear trend, with initial bond strength decreasing at low fiber content and increasing More >