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  • Open Access

    ARTICLE

    Automatic Identification of Local Instability in Shallow-Buried Thick Sand Strata during Diaphragm Wall Construction

    Yuhang Liu1, Xiaoying Zhuang1,2,*, Huilong Ren1

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3287-3305, 2025, DOI:10.32604/cmes.2025.070018 - 30 September 2025

    Abstract Shallow-buried thick sand strata present considerable local instability risks during diaphragm wall trenching construction. However, this critical issue has not been extensively studied, despite its serious safety consequences. This paper proposes an automatic identification model for shallow-buried thick sand strata, integrating three-dimensional limit equilibrium theory with a genetic algorithm to precisely identify the most potentially dangerous local instability mass and determine its minimum safety factor. The model establishes three undetermined parameters: failure angle, upper boundary, and thickness of the local instability mass. These parameters define the search space for the local instability mass. The effectiveness… More >

  • Open Access

    ARTICLE

    Probabilistic Rock Slope Stability Assessment of Heterogeneous Pyroclastic Slopes Considering Collapse Using Monte Carlo Methodology

    Miguel A. Millán1,*, Rubén A. Galindo2, Fausto Molina-Gómez1

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 2923-2941, 2025, DOI:10.32604/cmes.2025.069356 - 30 September 2025

    Abstract Volcanic terrains exhibit a complex structure of pyroclastic deposits interspersed with sedimentary processes, resulting in irregular lithological sequences that lack lateral continuity and distinct stratigraphic patterns. This complexity poses significant challenges for slope stability analysis, requiring the development of specialized techniques to address these issues. This research presents a numerical methodology that incorporates spatial variability, nonlinear material characterization, and probabilistic analysis using a Monte Carlo framework to address this issue. The heterogeneous structure is represented by randomly assigning different lithotypes across the slope, while maintaining predefined global proportions. This contrasts with the more common approach… More >

  • Open Access

    ARTICLE

    Investigating the Role of Antimalarial Treatment and Mosquito Nets in Malaria Transmission and Control through Mathematical Modeling

    Azhar Iqbal Kashif Butt1,*, Tariq Ismaeel2,*, Sara Khan2, Muhammad Imran3, Waheed Ahmad2, Ismail Abdulrashid4, Muhammad Sajid Riaz5

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3463-3492, 2025, DOI:10.32604/cmes.2025.069277 - 30 September 2025

    Abstract Malaria is a significant global health challenge. This devastating disease continues to affect millions, especially in tropical regions. It is caused by Plasmodium parasites transmitted by female Anopheles mosquitoes. This study introduces a nonlinear mathematical model for examining the transmission dynamics of malaria, incorporating both human and mosquito populations. We aim to identify the key factors driving the endemic spread of malaria, determine feasible solutions, and provide insights that lead to the development of effective prevention and management strategies. We derive the basic reproductive number employing the next-generation matrix approach and identify the disease-free and… More >

  • Open Access

    ARTICLE

    Radial Basis Function Neural Network Adaptive Controller for Wearable Upper-Limb Exoskeleton with Disturbance Observer

    Mohammad Soleimani Amiri1, Sahbi Boubaker2,3,*, Rizauddin Ramli4,*, Souad Kamel2

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3113-3133, 2025, DOI:10.32604/cmes.2025.069167 - 30 September 2025

    Abstract Disability is defined as a condition that makes it difficult for a person to perform certain vital activities. In recent years, the integration of the concepts of intelligence in solving various problems for disabled persons has become more frequent. However, controlling an exoskeleton for rehabilitation presents challenges due to their non-linear characteristics and external disturbances caused by the structure itself or the patient wearing the exoskeleton. To remedy these problems, this paper presents a novel adaptive control strategy for upper-limb rehabilitation exoskeletons, addressing the challenges of nonlinear dynamics and external disturbances. The proposed controller integrated… More >

  • Open Access

    REVIEW

    Determinants of Vaginal Microbiome Stability and Homeostasis

    Alejandro Borrego-Ruiz1,*, Juan J. Borrego2

    BIOCELL, Vol.49, No.8, pp. 1311-1338, 2025, DOI:10.32604/biocell.2025.066108 - 29 August 2025

    Abstract The vaginal microbiome plays a pivotal role in maintaining vaginal health and protecting the host from various diseases. There is a broad agreement within the scientific community that the vaginal microbiome exhibits stable bacterial diversity, influenced by age and gonadal hormone levels, and is classified into distinct Community-State Types. A healthy vaginal microbiome is typically characterized by a predominance of Lactobacillus spp., which acidifies the vaginal environment and is essential in defending against invading microbial pathogens. This review examines the evolution of the vaginal microbiome’s composition throughout a woman’s life. It also explores how exogenous factors More >

  • Open Access

    ARTICLE

    Thermodynamic Modeling of the Ti-Hf-Zr-Nb-Ta Refractory High Entropy Alloy and Its Application in Analyzing Phase Stability

    Jian Ding1, Jinghan Gao1, Enkuan Zhang1, Ying Tang2,*, Lijun Zhang3,*, Xingchuan Xia1

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 539-556, 2025, DOI:10.32604/cmc.2025.067266 - 29 August 2025

    Abstract Ti-Hf-Zr-Nb-Ta refractory high-entropy alloys (RHEAs) exhibiting a dual-phase structure resulting from martensitic transformation offer significant ductility enhancement, but their design requires precise control of the phase stability between body-centred cubic (BCC) and hexagonal close-packed (HCP) phases. This study establishes a comprehensive thermodynamic database for the Ti-Hf-Zr-Nb-Ta system using the 3rd-generation Calculation of Phase Diagrams (CALPHAD) model. The reliability of the database is validated by the strong agreement between the calculated thermodynamic properties and phase equilibria and the experimental data for pure element, as well as for binary and ternary systems. Utilizing this database, the phase… More >

  • Open Access

    ARTICLE

    The Overcurrent Limiting Method of GF-SVG in a Wind Farm Based on Adaptive Virtual Reactance

    Jikai Chen, Jiawei Wang, Jiayang Zhang, Shuangshuang Yao, Qianxin Li, Haoru Li*

    Energy Engineering, Vol.122, No.9, pp. 3703-3718, 2025, DOI:10.32604/ee.2025.066620 - 26 August 2025

    Abstract As a new dynamic reactive power compensator, the grid-forming Static Var Generator (GF-SVG) can not only provide reactive power-voltage support, but also has inertial support capability. It has been experimentally deployed in many wind farms. However, studies have shown that when the three-phase short-circuit fault occurs in the wind farm, the transient overcurrent during the fault occurrence and fault clearance is suppressed, making it difficult for GF-SVG to use traditional fixed virtual impedance. Aiming at the problem, firstly, the influence of virtual reactance on control stability is analyzed using the GF-SVG’s current open-loop transfer function.… More >

  • Open Access

    ARTICLE

    High Accuracy Simulation of Electro-Thermal Flow for Non-Newtonian Fluids in BioMEMS Applications

    Umer Farooq1, Nabil Kerdid2,*, Yasir Nawaz3, Muhammad Shoaib Arif 4

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 873-898, 2025, DOI:10.32604/cmes.2025.066800 - 31 July 2025

    Abstract In this study, we proposed a numerical technique for solving time-dependent partial differential equations that arise in the electro-osmotic flow of Carreau fluid across a stationary plate based on a modified exponential integrator. The scheme is comprised of two explicit stages. One is the exponential integrator type stage, and the second is the Runge-Kutta type stage. The spatial-dependent terms are discretized using the compact technique. The compact scheme can achieve fourth or sixth-order spatial accuracy, while the proposed scheme attains second-order temporal accuracy. Also, a mathematical model for the electro-osmotic flow of Carreau fluid over… More >

  • Open Access

    ARTICLE

    CYMP-AS1 Promotes Ovarian Cancer Progression by Enhancing the Intracellular Translocation of hnRNPM and Reducing the Stability of AXIN2 mRNA

    Yuhan Wang, Yimei Meng, Wanqiu Xia, Yusen Liang, Yaru Wang, Peiling Li*, Lei Fang*

    Oncology Research, Vol.33, No.8, pp. 2141-2159, 2025, DOI:10.32604/or.2025.064367 - 18 July 2025

    Abstract Background: Ovarian cancer (OC) is a representative malignancy of the female reproductive system, with a poor prognosis. Long non-coding RNAs (lncRNAs) crucially affect tumor development. This study aimed to identify lncRNAs that potentially participated in OC. Methods: LncRNA expression in cells and tissues was quantified using reverse transcription-quantitative PCR, while fluorescence in situ hybridization determined their cellular localization. Various in vitro assays, together with a mouse xenograft model, were employed to elucidate the function of CYMP antisense RNA 1 (CYMP-AS1) in OC. The molecular mechanisms underlying CYMP-AS1 regulation were investigated through RNA pull-down and immunoprecipitation assays, immunofluorescence… More > Graphic Abstract

    CYMP-AS1 Promotes Ovarian Cancer Progression by Enhancing the Intracellular Translocation of hnRNPM and Reducing the Stability of AXIN2 mRNA

  • Open Access

    ARTICLE

    Modeling and Simulation of Epidemics Using q-Diffusion-Based SEIR Framework with Stochastic Perturbations

    Amani Baazeem1, Muhammad Shoaib Arif2,*, Yasir Nawaz3, Kamaleldin Abodayeh2

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3463-3489, 2025, DOI:10.32604/cmes.2025.066299 - 30 June 2025

    Abstract The numerical approximation of stochastic partial differential equations (SPDEs), particularly those including q-diffusion, poses considerable challenges due to the requirements for high-order precision, stability amongst random perturbations, and processing efficiency. Because of their simplicity, conventional numerical techniques like the Euler-Maruyama method are frequently employed to solve stochastic differential equations; nonetheless, they may have low-order accuracy and lower stability in stiff or high-resolution situations. This study proposes a novel computational scheme for solving SPDEs arising from a stochastic SEIR model with q-diffusion and a general incidence rate function. A proposed computational scheme can be used to… More >

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