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  • Open Access

    ARTICLE

    Computational Modeling to Predict Conservative Treatment Outcome for Patients with Plaque Erosion: An OCT-Based Patient-Specific FSI Modeling Study

    Yanwen Zhu1,#, Chen Zhao2,#, Yishuo Xu2, Zheyang Wu3, Akiko Maehara4, Liang Wang1, Dirui Zhang2, Ming Zeng2, Rui Lv5, Xiaoya Guo6, Mengde Huang1, Minglong Chen7, Gary S. Mintz4, Dalin Tang1,3,*, Haibo Jia2, Bo Yu2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1249-1270, 2025, DOI:10.32604/cmes.2025.067039 - 31 August 2025

    Abstract Image-based computational models have been used for vulnerable plaque progression and rupture predictions, and good results have been reported. However, mechanisms and predictions for plaque erosion are under-investigated. Patient-specific fluid-structure interaction (FSI) models based on optical coherence tomography (OCT) follow-up data from patients with plaque erosion and who received conservative antithrombotic treatment (using medication, no stenting) to identify risk factors that could be used to predict the treatment outcome. OCT and angiography data were obtained from 10 patients who received conservative antithrombotic treatment. Five participants had worse outcomes (WOG, stenosis severity ≥ 70% at one-year… More > Graphic Abstract

    Computational Modeling to Predict Conservative Treatment Outcome for Patients with Plaque Erosion: An OCT-Based Patient-Specific FSI Modeling Study

  • Open Access

    ARTICLE

    Encapsulation of Clove Oil Nanoemlusion in Chitosan-Based Nano-Composite: In Vitro and in Vivo Antifungal Activity against Rhizoctonia solani and Sclerotium rolfsii

    Ahmed Mahmoud Ismail1,2,3,*, Eman Said Elshewy3, Isra H. Ali4,5, Naglaa Abd Elbaki Sallam Muhanna3, Eman Yehia Khafagi3

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2787-2811, 2024, DOI:10.32604/phyton.2024.057518 - 30 November 2024

    Abstract Rhizoctonia solani Kühn and Sclerotium rolfsii Sacc. are the primary soil-borne plant diseases responsible for significant reductions in global crop yields. The primary goal of this study was to investigate the antifungal potentials of clove essential oil (CEO), nanoemulsion form (CEONE) and chitosan/nanoemulsion nanocomposite (CS/CEONE) against R. solani and S. rolfsii through in vitro and in vivo trials. Both CEONE and CS/CEONE were prepared and investigated for their physical chemical and morphological characterization. The poisoned medium method was utilized to evaluate the inhibitory effects of CEO, CEONE and CS/CEONE on the mycelial growth and enzymatic activity of R. solani and S. rolfsii. The… More >

  • Open Access

    ARTICLE

    Heuristic-Based Optimal Load Frequency Control with Offsite Backup Controllers in Interconnected Microgrids

    Aijia Ding, Tingzhang Liu*

    Energy Engineering, Vol.121, No.12, pp. 3735-3759, 2024, DOI:10.32604/ee.2024.054687 - 22 November 2024

    Abstract The primary factor contributing to frequency instability in microgrids is the inherent intermittency of renewable energy sources. This paper introduces novel dual-backup controllers utilizing advanced fractional order proportional integral derivative (FOPID) controllers to enhance frequency and tie-line power stability in microgrids amid increasing renewable energy integration. To improve load frequency control, the proposed controllers are applied to a two-area interconnected microgrid system incorporating diverse energy sources, such as wind turbines, photovoltaic cells, diesel generators, and various storage technologies. A novel meta-heuristic algorithm is adopted to select the optimal parameters of the proposed controllers. The efficacy… More >

  • Open Access

    ARTICLE

    An Updated Lagrangian Particle Hydrodynamics (ULPH)-NOSBPD Coupling Approach for Modeling Fluid-Structure Interaction Problem

    Zhen Wang1, Junsong Xiong1, Shaofan Li2, Xin Lai1,3,*, Xiang Liu3, Lisheng Liu1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 491-523, 2024, DOI:10.32604/cmes.2024.052923 - 20 August 2024

    Abstract A fluid-structure interaction approach is proposed in this paper based on Non-Ordinary State-Based Peridynamics (NOSB-PD) and Updated Lagrangian Particle Hydrodynamics (ULPH) to simulate the fluid-structure interaction problem with large geometric deformation and material failure and solve the fluid-structure interaction problem of Newtonian fluid. In the coupled framework, the NOSB-PD theory describes the deformation and fracture of the solid material structure. ULPH is applied to describe the flow of Newtonian fluids due to its advantages in computational accuracy. The framework utilizes the advantages of NOSB-PD theory for solving discontinuous problems and ULPH theory for solving fluid… More >

  • Open Access

    ARTICLE

    Influence of Methane-Hydrogen Mixture Characteristics on Compressor Vibrations

    Vladimir Ya. Modorskii, Ivan E. Cherepanov*

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.5, pp. 1031-1043, 2024, DOI:10.32604/fdmp.2024.048494 - 07 June 2024

    Abstract A transition to clean hydrogen energy will not be possible until the issues related to its production, transportation, storage, etc., are adequately resolved. Currently, however, it is possible to use methane-hydrogen mixtures. Natural gas can be transported using a pipeline system with the required pressure being maintained by gas compression stations. This method, however, is affected by some problems too. Compressors emergency stops can be induced by vibrations because in some cases, mechanical methods are not able to reduce the vibration amplitude. As an example, it is known that a gas-dynamic flow effect in labyrinth… More >

  • Open Access

    ARTICLE

    An Intelligent MCGDM Model in Green Suppliers Selection Using Interactional Aggregation Operators for Interval-Valued Pythagorean Fuzzy Soft Sets

    Rana Muhammad Zulqarnain1, Wen-Xiu Ma1,2,3,*, Imran Siddique4, Hijaz Ahmad5,6, Sameh Askar7

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1829-1862, 2024, DOI:10.32604/cmes.2023.030687 - 29 January 2024

    Abstract Green supplier selection is an important debate in green supply chain management (GSCM), attracting global attention from scholars, especially companies and policymakers. Companies frequently search for new ideas and strategies to assist them in realizing sustainable development. Because of the speculative character of human opinions, supplier selection frequently includes unreliable data, and the interval-valued Pythagorean fuzzy soft set (IVPFSS) provides an exceptional capacity to cope with excessive fuzziness, inconsistency, and inexactness through the decision-making procedure. The main goal of this study is to come up with new operational laws for interval-valued Pythagorean fuzzy soft numbers More >

  • Open Access

    ARTICLE

    Analysis of the Flow Field and Impact Force in High-Pressure Water Descaling

    Yue Cui1,*, Liyuan Wang2, Jian Wu1, Haisheng Liu1, Di Wu1

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.1, pp. 165-177, 2024, DOI:10.32604/fdmp.2023.030311 - 08 November 2023

    Abstract This study aims to improve the performances of the high-pressure water descaling technology used in steel hot rolling processes. In particular, a 2050 mm hot rolling line is considered, and the problem is investigated by means of a fluid–structure interaction (FSI) method by which the descaling effect produced by rolling coils with different section sizes is examined. Assuming a flat fan-shaped nozzle at the entrance of the R1R2 roughing mill, the out- flow field characteristics and the velocity distribution curve on the strike line (at a target distance of 30–120 mm) are determined. It is More >

  • Open Access

    ARTICLE

    OffSig-SinGAN: A Deep Learning-Based Image Augmentation Model for Offline Signature Verification

    M. Muzaffar Hameed1,2, Rodina Ahmad1,*, Laiha Mat Kiah1, Ghulam Murtaza3, Noman Mazhar1

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 1267-1289, 2023, DOI:10.32604/cmc.2023.035063 - 08 June 2023

    Abstract Offline signature verification (OfSV) is essential in preventing the falsification of documents. Deep learning (DL) based OfSVs require a high number of signature images to attain acceptable performance. However, a limited number of signature samples are available to train these models in a real-world scenario. Several researchers have proposed models to augment new signature images by applying various transformations. Others, on the other hand, have used human neuromotor and cognitive-inspired augmentation models to address the demand for more signature samples. Hence, augmenting a sufficient number of signatures with variations is still a challenging task. This… More >

  • Open Access

    ARTICLE

    Analysis and Optimization of Flow-Guided Structure Based on Fluid-Structure Interaction

    Yue Cui1,*, Liyuan Wang2, Jixing Ru3, Jian Wu1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1573-1584, 2023, DOI:10.32604/fdmp.2023.024873 - 30 January 2023

    Abstract Gases containing sulfur oxides can cause corrosion and failure of bellows used as furnace blowers in high-temperature environments. In order to mitigate this issue, the behavior of an effective blast furnace blower has been examined in detail. Firstly, the Sereda corrosion model has been introduced to simulate the corrosion rate of the related bellows taking into account the effects of temperature and SO2 gas; such results have been compared with effective measurements; then, the average gas velocity in the pipeline and the von Mises stress distribution of the inner draft tube have been analyzed using a More >

  • Open Access

    ARTICLE

    Fluid-Structure Interaction in Problems of Patient Specific Transcatheter Aortic Valve Implantation with and Without Paravalvular Leakage Complication

    Adi Azriff Basri1,6,*, Mohammad Zuber2, Ernnie Illyani Basri1, Muhammad Shukri Zakaria5, Ahmad Fazli Abd Aziz3, Masaaki Tamagawa4, Kamarul Arifin Ahmad1,6

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.3, pp. 531-553, 2021, DOI:10.32604/fdmp.2021.010925 - 29 April 2021

    Abstract Paravalvular Leakage (PVL) has been recognized as one of the most dangerous complications in relation to Transcathether Aortic Valve Implantation (TAVI) activities. However, data available in the literature about Fluid Structure Interaction (FSI) for this specific problem are relatively limited. In the present study, the fluid and structure responses of the hemodynamics along the patient aorta model and the aortic wall deformation are studied with the aid of numerical simulation taking into account PVL and 100% TAVI valve opening. In particular, the aorta without valve (AWoV) is assumed as the normal condition, whereas an aorta… More >

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