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  • Open Access

    ARTICLE

    Evaluation of ASM for Ventricular Segmentation in Patients with Diverse Cardiac Abnormalities

    Oskar Kapuśniak1, Adam Piórkowski2,*, Julia Lasek3, Karolina Nurzyńska4

    CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076062 - 09 April 2026

    Abstract The efficacy of Active Shape Models (ASM) for automated ventricular segmentation was evaluated to address the computational demands of manual segmentation and the interpretability limitations of deep learning. A statistical shape model was constructed using a limited cohort of 19 Coronary Computed Tomography Angiography (CCTA) scans derived from patients with diverse cardiac abnormalities. Principal Component Analysis (PCA) was employed to encapsulate morphological variability, and strict point correspondence was enforced to maintain topological consistency. Validation was conducted via leave-one-out cross-validation, benchmarking automated segmentations against expert-delineated ground truths using the Dice Similarity Coefficient (DSC) and Hausdorff Distance More >

  • Open Access

    ARTICLE

    Deterministic PCA-Synchronized 3-D Mesh Watermarking with Fullerene-Guided Carrier Selection

    Run Jiao, Qingyuan Hou, Ziyu Jiang, Hongxia Wang*

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.075967 - 12 March 2026

    Abstract Mesh models are among the primary representations for storing 3-D objects, encapsulating detailed geometric information. 3-D mesh watermarking, in particular, plays a central role in the protection of 3-D content. However, frequency-domain methods rely on complex parameterization and spectral decomposition, which are sensitive to mesh topology and resolution and often introduce perceptible artifacts. Spatial-domain techniques, on the other hand, typically embed watermarks in global or randomly selected regions, leading to visible distortions and reduced robustness. To address the above limitations and protect model copyright without compromising the original aesthetic quality, we propose a deterministice PCA-synchronized… More >

  • Open Access

    ARTICLE

    MHD Thermosolutal Flow in Casson-Fluid Microchannels: Taguchi–GRA–PCA Optimization

    Amina Mahreen1, Fateh Mebarek-Oudina2,3,4,*, Amna Ashfaq1, Jawad Raza1, Sami Ullah Khan5, Hanumesh Vaidya6

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2829-2853, 2025, DOI:10.32604/fdmp.2025.072492 - 01 December 2025

    Abstract Understanding the complex interaction between heat and mass transfer in non-Newtonian microflows is essential for the development and optimization of efficient microfluidic and thermal management systems. This study investigates the magnetohydrodynamic (MHD) thermosolutal convection of a Casson fluid within an inclined, porous microchannel subjected to convective boundary conditions. The nonlinear, coupled equations governing momentum, energy, and species transport are solved numerically using the MATLAB bvp4c solver, ensuring high numerical accuracy and stability. To identify the dominant parameters influencing flow behavior and to optimize transport performance, a comprehensive hybrid optimization framework—combining a modified Taguchi design, Grey… More >

  • Open Access

    ARTICLE

    Comparison of Objective Forecasting Method Fit with Electrical Consumption Characteristics in Timor-Leste

    Ricardo Dominico Da Silva1,2, Jangkung Raharjo1,3,*, Sudarmono Sasmono1,3

    Energy Engineering, Vol.122, No.12, pp. 5073-5090, 2025, DOI:10.32604/ee.2025.071545 - 27 November 2025

    Abstract The rapid development of technology has led to an ever-increasing demand for electrical energy. In the context of Timor-Leste, which still relies on fossil energy sources with high operational costs and significant environmental impacts, electricity load forecasting is a strategic measure to support the energy transition towards the Net Zero Emission (NZE) target by 2050. This study aims to utilize historical electricity load data for the period 2013–2024, as well as data on external factors affecting electricity consumption, to forecast electricity load in Timor-Leste in the next 10 years (2025–2035). The forecasting results are expected… More >

  • Open Access

    ARTICLE

    UHMK1 Promotes Prostate Cancer Progression through a Positive Feedback Loop with MTHFD2

    Chi Zhang1,#, Xi Huang2,#, Cheng Hu1, Bowen Tang1, Jianjie Wu1, Zhuolun Sun1, Weian Zhu1, Xiangfu Zhou1, Hengjun Xiao1,*, Hua Wang1,*

    Oncology Research, Vol.33, No.9, pp. 2331-2351, 2025, DOI:10.32604/or.2025.065119 - 28 August 2025

    Abstract Background: U2AF homology motif kinase 1 (UHMK1) has been associated with RNA processing and protein phosphorylation, thereby influencing tumor progression. The study aimed to explore its regulatory mechanisms and biological functions in human prostate cancer (PCa). Methods: In this study, we systematically evaluated the expression and prognostic significance of UHMK1 in public databases, followed by validation through immunohistochemistry (IHC) in PCa specimens. Both gain-of-function and loss-of-function experiments were conducted to elucidate the role of UHMK1 in vitro and in vivo. Additionally, a series of molecular and biochemical assays were performed to investigate the regulatory mechanisms underlying UHMK1… More >

  • Open Access

    ARTICLE

    Spatial Equity in Urban Mobility: A PCA-Based Analysis of Multimodal Accessibility in Caen, France

    Kofi Bonsu*, Olivier Bonin

    Revue Internationale de Géomatique, Vol.34, pp. 639-654, 2025, DOI:10.32604/rig.2025.067000 - 11 August 2025

    Abstract This study analyzes the spatial accessibility of key services in Caen, France, focusing on how different transport modes (car, bicycle, and public transit) influence access to essential services across the urban and suburban landscape. Indeed, the introduction of traffic restrictions in towns with low emission zones encourages a detailed study, on a fine spatial scale, of the differences in accessibility between different modes of transport, for different services and for different journey times. Using spatial analysis techniques, we examine accessibility patterns in relation to services such as shops, healthcare, education, and tourism, highlighting significant disparities… More >

  • Open Access

    ARTICLE

    Floral Volatiles in Natural Populations of Paeonia lactiflora: Key Components and Cultivar Differential Analysis

    Meida Chen1, Tongfei Niu1, Kai Gao2, Zhanxiang Tan1, Yuxin Zhao1, Xiaogai Hou1,*, Lili Guo1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1921-1940, 2025, DOI:10.32604/phyton.2025.065738 - 27 June 2025

    Abstract Floral scent serves as a key criterion for evaluating the ornamental value of flowering plants. Herbaceous peony (Paeonia lactiflora Pall.), a traditional Chinese ornamental species, is valued for its vibrant coloration, intricate floral morphology, and positive cultural symbolism. In this study, dynamic headspace adsorption coupled with gas chromatography-mass spectrometry was employed to analyze volatile organic compounds (VOCs) in flowers of 120 herbaceous peony cultivars at the half-opening stage. We detected 86 VOCs, comprising 25 aromatic compounds (79.70%), 21 hydrocarbons (10.51%), 29 terpenoids (8.37%), 7 fatty acid derivatives (1.03%), and 4 heterocyclic compounds (0.38%). The cultivar ‘Dr.… More >

  • Open Access

    ARTICLE

    Advancing Railway Infrastructure Monitoring: A Case Study on Railway Pole Detection

    Yuxin Yan, Huirui Wang, Jingyi Wen, Zerong Lan, Liang Wang*

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3059-3073, 2025, DOI:10.32604/cmc.2024.057949 - 16 April 2025

    Abstract The development of artificial intelligence (AI) technologies creates a great chance for the iteration of railway monitoring. This paper proposes a comprehensive method for railway utility pole detection. The framework of this paper on railway systems consists of two parts: point cloud preprocessing and railway utility pole detection. This method overcomes the challenges of dynamic environment adaptability, reliance on lighting conditions, sensitivity to weather and environmental conditions, and visual occlusion issues present in 2D images and videos, which utilize mobile LiDAR (Laser Radar) acquisition devices to obtain point cloud data. Due to factors such as… More >

  • Open Access

    ARTICLE

    ERLNs augment simultaneous delivery of GFSV into PC-3 cells: Influence of drug combination on SDH, GPX-4, 5α-RD, and cytotoxicity

    RIYAD F. ALZHRANI1, LAMA BINOBAID2, ABDULAZIZ A. ALORAINI1, MESHAL S. ALSAHLI1, AHMED H. BAKHEIT3, HANADI H. ASIRI3, SABRY M. ATTIA2, ALI ALHOSHANI2, GAMALELDIN I. HARISA1,*

    Oncology Research, Vol.33, No.4, pp. 919-935, 2025, DOI:10.32604/or.2024.054537 - 19 March 2025

    Abstract Objective: Prostate cancer (PCA) is the second most widespread cancer among men globally, with a rising mortality rate. Enzyme-responsive lipid nanoparticles (ERLNs) are promising vectors for the selective delivery of anticancer agents to tumor cells. The goal of this study is to fabricate ERLNs for dual delivery of gefitinib (GF) and simvastatin (SV) to PCA cells. Methods: ERLNs loaded with GF and SV (ERLNGFSV) were assembled using bottom-up and top-down techniques. Subsequently, these ERLN cargoes were coated with triacylglycerol, and phospholipids and capped with chitosan (CS). The ERLNGFSV, and CS engineered ERLNGFSV (CERLNGFSV) formulations were… More > Graphic Abstract

    ERLNs augment simultaneous delivery of GFSV into PC-3 cells: Influence of drug combination on SDH, GPX-4, 5α-RD, and cytotoxicity

  • Open Access

    ARTICLE

    Harmonization of Heart Disease Dataset for Accurate Diagnosis: A Machine Learning Approach Enhanced by Feature Engineering

    Ruhul Amin1, Md. Jamil Khan1, Tonway Deb Nath1, Md. Shamim Reza2, Jungpil Shin3,*

    CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 3907-3919, 2025, DOI:10.32604/cmc.2025.061645 - 06 March 2025

    Abstract Heart disease includes a multiplicity of medical conditions that affect the structure, blood vessels, and general operation of the heart. Numerous researchers have made progress in correcting and predicting early heart disease, but more remains to be accomplished. The diagnostic accuracy of many current studies is inadequate due to the attempt to predict patients with heart disease using traditional approaches. By using data fusion from several regions of the country, we intend to increase the accuracy of heart disease prediction. A statistical approach that promotes insights triggered by feature interactions to reveal the intricate pattern… More >

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