Tae-hyeon Yun¹, Moohong Min^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2707-2731, 2025, DOI:10.32604/cmes.2025.072357 - 26 November 2025

Abstract The dynamic, heterogeneous nature of Edge computing in the Internet of Things (Edge-IoT) and Industrial IoT (IIoT) networks brings unique and evolving cybersecurity challenges. This study maps cyber threats in Edge-IoT/IIoT environments to the Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK) framework by MITRE and introduces a lightweight, data-driven scoring model that enables rapid identification and prioritization of attacks. Inspired by the Factor Analysis of Information Risk model, our proposed scoring model integrates four key metrics: Common Vulnerability Scoring System (CVSS)-based severity scoring, Cyber Kill Chain–based difficulty estimation, Deep Neural Networks-driven detection scoring, and frequency… More >

Zhuoyuan Zheng^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.010939

Abstract Silicon (Si) anodes are promising candidates for lithium-ion batteries due to their high theoretical capacity and low operating voltage. However, the significant volume expansion that occurs during lithiation presents challenges, including material degradation and decreased cycle life. This study employs an electrochemical-mechanical-thermal coupled finite element model, supported by experimental validation, to investigate the impact of lithiation-induced deformation on the energy dissipation of Si anodes. We quantitatively investigate the effects of several key design parameters—C-rate, Si layer thickness, and lithiation depth—on energy losses resulting from various mechanisms, such as mechanical energy loss, polarization, and joule heating.… More >

Gumashvili Megi^1,2, Yiping Mu¹, Kulbo Nora Bakabbey³, Addo Prince Clement^2,3,4,*, Kiti Kanokon¹, Menezes Dalila Batista de Sousa de¹, Baidoo Bernard Ekow¹

Journal of Psychology in Africa, Vol.35, No.3, pp. 287-298, 2025, DOI:10.32604/jpa.2025.067165 - 31 July 2025

Abstract This study investigated the influence of human capital development and technological, strategic, cognitive, and environmental factors on Industry 4.0 readiness, as well as cultural factors acting as a mediator. Respondents were 478 employees from across eight regions in Russia. Survey data were collected on employee technological readiness, human capital development, strategic planning, cognitive perceptions, and environmental and cultural factors influencing the adoption of Industry 4.0 technologies, with cultural factors mediating. These findings from the structure equation analysis show that technological factors and human capital development are the strongest predictors of readiness, suggesting that robust digital More >

Lanxi Zhang¹, Yuming Peng¹, Yudong Wu^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.1, pp. 205-220, 2025, DOI:10.32604/fdmp.2024.056516 - 24 January 2025

Abstract The challenge of aerodynamic noise is a key obstacle in the advancement of low-pressure tube ultra-high-speed maglev transportation, demanding urgent resolution. This study utilizes a broadband noise source model to perform a quantitative analysis of the aerodynamic noise produced by ultra-high-speed maglev trains operating in low-pressure environments. Initially, an external flow field calculation model for the ultra-high-speed maglev train is presented. Subsequently, numerical simulations based on the broadband noise source model are used to examine the noise characteristics. The impact of the train speed and pressure level on noise generation is investigated accordingly. Subsequently, a… More >

Suyadi Kartorono^*, Herlien Dwiarti Setio, Adang Surahman, Ediansjah Zulkifli

Structural Durability & Health Monitoring, Vol.17, No.3, pp. 195-208, 2023, DOI:10.32604/sdhm.2022.023259 - 25 June 2023

Abstract This paper sums up the determining analysis of the measuring location of T_refl using a thermocouple during the thermography tests. Laboratory temperature distribution testing methods, analysis of value and location of T_refl measurement are explained in this paper. The heat source is two halogen lamps of 500 watts each fitted at a distance of 30–50 cm. Noises appearing during testing of thermography are corrected with measured T_refl value. The results of thermogram correction of corroded concrete surfaces using T_refl values are displayed in this paper too. The concrete surface temperature results of quantitative image processing method are More >

Daisuke Ishihara^1,*, Prakasha Chigahalli Ramegowda², Shoichi Aikawa¹, Naoki Iwamaru¹

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1187-1206, 2023, DOI:10.32604/cmes.2023.024614 - 06 February 2023

Abstract This paper demonstrates the importance of three-dimensional (3-D) piezoelectric coupling in the electromechanical behavior of piezoelectric devices using three-dimensional finite element analyses based on weak and strong coupling models for a thin cantilevered piezoelectric bimorph actuator. It is found that there is a significant difference between the strong and weak coupling solutions given by coupling direct and inverse piezoelectric effects (i.e., piezoelectric coupling effect). In addition, there is significant longitudinal bending caused by the constraint of the inverse piezoelectric effect in the width direction at the fixed end (i.e., 3-D effect). Hence, modeling of these More >

Kesheng Lin^1,2, Jiawen Zhou^1,2, Lijuan Han^1,2, Ning Li^1,2,*

Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 285-296, 2023, DOI:10.32604/phyton.2022.023219 - 06 September 2022

Abstract As a traditional herbal medicine, the major alkaloids in Uncaria rhynchophylla have been proven to have blood pressure-lowering and sedative effects. It is essential to develop an effective method for the determination of the major alkaloids in U. rhynchophylla. In this research, a rapid quantitative analysis involving multi-components analysis by a single marker strategy coupled with core-shell column HPLC was adopted to analyse four alkaloids (corynoxeine, isocorynoxeine, isorhynchophylline, rhynchophylline) in U. rhynchophylla. Isorhynchophylline was selected as the internal reference substance, the content of which was determined by the traditional external standard method. Relative correction factors (RCF) between isorhynchophylline More >

Kangze Yuan¹, Kui Liu^1,2,*, Guoyang Yi³, Bowen Yang²

Journal of Renewable Materials, Vol.10, No.12, pp. 3611-3627, 2022, DOI:10.32604/jrm.2022.022458 - 14 July 2022

Abstract Cement Stabilized Loess (CSL) sample has a long history as a method of improving building foundations. In this paper, the main physical (specific gravity, consistency limit, optimum moisture content, and maximum dry density) and mechanical properties (Unconfined Compressive Strength (UCS) and shear strength parameters) of CSL samples with different cement content were investigated, and the change reasons were explored by mean of SEM test. Meanwhile, quantitative analysis software Image-Pro Plus (IPP) 6.0 was used to characterize the microstructural evolution of pores in compacted loess and CSL sample. As the cement content increased, the specific gravity… More > Graphic Abstract

Dong Chen¹, Xiang Wang^1,*, Fuzhou Tang², Yajin Zhao¹

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 150-150, 2019, DOI:10.32604/mcb.2019.07071

Abstract Deformability is a fundamental property of the cells and tissues of living organisms, which is commonly detected to indicate the state of the cells. And the cell deformability usually depends on the methods that we used, which is easy to be confused. The present research is designed to explore the energy characteristic of red blood cell deformability, based on a quantitative analysis of extending-retracting curves acquired from atomic force microscopy. ATP-depleted red blood cells are prepared by treatment with free-glucose Ringer solution. Our results clearly show that the Youngs’ modulus of erythrocyte is closely depended… More >

Daniel Rivera Ruiz^1,*, Alisha Sawant¹

CMC-Computers, Materials & Continua, Vol.59, No.2, pp. 389-396, 2019, DOI:10.32604/cmc.2019.06433

Abstract In this paper we aim to identify certain social factors that influence, and thus can be used to predict, the occurrence of crimes. The factors under consideration for this analytic are social demographics such as age, sex, poverty, etc., train ridership, traffic density and the number of business licenses per community area in Chicago, IL. A factor will be considered pertinent if there is high correlation between it and the number of crimes of a particular type in that community area. More >