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  • Open Access

    CASE REPORT

    Progressive Right Ventricular Outflow Tract Obstruction Following Perimembranous VSD Closure with Lifetech™ Konar-Multifunctional Occluder (MFO) Device: A Rare Case of Valve–Device Interaction

    Mete Han Kizilkaya1, Boran Cakan2,3,*, Mehmet Bicer4, Ender Odemis1,5

    Structural and Congenital Heart Disease, Vol.21, No.1, 2026, DOI:10.32604/schd.2026.074189 - 31 March 2026

    Abstract Background: Transcatheter closure of perimembranous ventricular septal defects (pmVSDs) with Lifetech™ Konar-Multifunctional Occluder (MFO) has demonstrated high procedural success and safety. However, long-term complications due to valve–device interaction are rarely reported. We describe a pediatric patient who developed progressive right ventricular outflow tract (RVOT) obstruction and severe tricuspid regurgitation 20 months after MFO closure, highlighting mechanisms, management, and outcomes. Case Description: A 13-year-old girl underwent successful MFO closure of a 6-mm pmVSD. Early follow-up showed trivial tricuspid regurgitation and mild subpulmonic stenosis. Pre-procedural imaging revealed right ventricular hypertrophy caused by long-standing jet-related turbulence from the pmVSD, with… More >

  • Open Access

    ARTICLE

    Rapid Seismic Damage Quantification for Reinforced Concrete Frames using Minimal Strain Inputs and Neural Networks Trained via Pushover Analysis

    Mohammadreza Vafaei1,*, Sophia C. Alih2, Abdirahman Abdulkadir1

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.078250 - 30 March 2026

    Abstract Rapid quantification of seismic-induced damage immediately following an earthquake is critical for determining whether a structure is safe for continued occupation or requires evacuation. This study proposes a novel damage identification method that utilizes limited strain data points, significantly reducing installation, maintenance, and data analysis costs compared to traditional distributed sensor networks. The approach integrates finite element (FE) modeling to generate capacity curves through pushover analysis, incorporates noise-augmented datasets for Artificial Neural Network (ANN) training, and classifies structural conditions into four damage levels: Operational (OP), Immediate Occupancy (IO), Life Safety (LS), and Collapse Prevention (CP).… More > Graphic Abstract

    Rapid Seismic Damage Quantification for Reinforced Concrete Frames using Minimal Strain Inputs and Neural Networks Trained via Pushover Analysis

  • Open Access

    ARTICLE

    A Deterministic and Stochastic Fractional-Order Model for Computer Virus Propagation with Caputo-Fabrizio Derivative: Analysis, Numerics, and Dynamics

    Najat Almutairi1, Mohammed Messaoudi2, Faisal Muteb K. Almalki3, Sayed Saber3,4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.076371 - 30 March 2026

    Abstract This paper introduces a novel fractional-order model based on the Caputo–Fabrizio (CF) derivative for analyzing computer virus propagation in networked environments. The model partitions the computer population into four compartments: susceptible, latently infected, breaking-out, and antivirus-capable systems. By employing the CF derivative—which uses a nonsingular exponential kernel—the framework effectively captures memory-dependent and nonlocal characteristics intrinsic to cyber systems, aspects inadequately represented by traditional integer-order models. Under Lipschitz continuity and boundedness assumptions, the existence and uniqueness of solutions are rigorously established via fixed-point theory. We develop a tailored two-step Adams–Bashforth numerical scheme for the CF framework More >

  • Open Access

    ARTICLE

    Effect of Green Lipid Treatments on the Morphological, Physical, Hygroscopic, and Mechanical Properties of Pineapple Leaf Fibres

    Achille Désiré Betené Omgba1,2,*, Cheryle Manfouo Tchoupmene1, Benoit Ndiwe1,2,*, Antonios N. Papadopoulos3, Remy Legrand Ndoumou Belinga1, Julien Clerc Obam1, Christel Cedrig Laris Nsi Ongo1, Ioanna A. Papadopoulou4, Armel Brice Mvogo1,2, Fabien Betené Ebanda1,2, Atangana Ateba1,2, Antonio Pizzi5

    Journal of Renewable Materials, Vol.14, No.3, 2026, DOI:10.32604/jrm.2026.02025-0201 - 25 March 2026

    Abstract The high hydrophilicity of pineapple leaf fibres (PALF) limits their use in cement- and gypsum-based composites exposed to moisture. This study evaluates, for the first time, the combined effect of palm kernel oil and beeswax on the hygroscopic resistance and mechanical stability of PALF. The fibres were functionalised with three formulations (oil, wax, and a 1:2 oil/wax blend) applied at different mass ratios (CR = 0.5–2). Treatments increased the average bundle diameter by up to +46% (238 μm) and reduced density down to 1.06 g/cm3. Hygroscopically, water absorption decreased from 202.4% (raw fibres) to 76.3% (CR… More > Graphic Abstract

    Effect of Green Lipid Treatments on the Morphological, Physical, Hygroscopic, and Mechanical Properties of Pineapple Leaf Fibres

  • Open Access

    REVIEW

    Mitochondrial Dysfunction as a Pathophysiological Bridge between Metabolic Dysfunction-Associated Fatty Liver Disease and Chronic Kidney Disease

    Congwei You1,#, Anwen Yin2,#, Jia Xia3, Le Zhang4,*, Xiaolei Wang1,*, Yutong Hou4,*

    BIOCELL, Vol.50, No.3, 2026, DOI:10.32604/biocell.2025.072971 - 23 March 2026

    Abstract Metabolic dysfunction-associated fatty liver disease (MAFLD) and chronic kidney disease (CKD) have shown a marked global increase in prevalence, placing a substantial burden on public health and healthcare systems worldwide. Epidemiological data demonstrate a significant overlap between these two conditions, with further evidence from research identifying common pathophysiological features, such as lipid metabolism dysregulation, disrupted energy balance, and chronic systemic inflammation. Mitochondria are central to the pathophysiology of both diseases. In addition to their role in energy production, mitochondria are involved in numerous critical cellular processes, including biosynthesis, lipid metabolism, oxidative phosphorylation, signal transduction, and More >

  • Open Access

    REVIEW

    Surgery Alone Treatment vs. Surgery with Adjuvant Therapy for Laryngeal Mucoepidermoid Cancer: A Systematic Review

    Francesco Chiari1,*, Giovanni Motta2, Daria Maria Filippini3, Claudio Donadio Caporale1, Pierre Guarino1

    Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.073086 - 23 March 2026

    Abstract Objective: Mucoepidermoid carcinoma (MEC) of the larynx is an extremely rare malignancy, accounting for less than 1% of primary laryngeal tumors. The optimal role of adjuvant therapy, particularly radiotherapy (RT), remains unclear due to limited evidence. This systematic review aimed to evaluate oncologic outcomes and the impact of adjuvant treatment in patients with early- and advanced-stage laryngeal MEC. Methods: A systematic literature search was performed according to PRISMA 2020 guidelines in PubMed/Embase, Scopus, and Cochrane for studies published up to 31 July 2025. Results: Twenty-two studies, encompassing 55 patients, were included. Early-stage (T1–T2) patients (n =… More >

  • Open Access

    REVIEW

    Ferroptosis as a Translational Axis in Small Cell Lung Cancer: A Systematic Review of Redox Pathways and Precision Oncology Prospects

    Donatella Coradduzza1,#, Anna La Salvia2,#, Giuseppe Fanciulli3, Maria Rosaria De Miglio3,*

    Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2025.073045 - 23 March 2026

    Abstract Background: An increasing number of studies have shown that ferroptosis is related to the initiation and development of small cell lung cancer (SCLC). The systematic review aimed to summarize the characteristics of ferroptosis from its pathogenetic role to translational therapeutic implications in SCLC. Methods: This systematic review, registered in PROSPERO (CRD420251090058), followed PRISMA 2020 guidelines. Comprehensive research of PubMed, Scopus, and Web of Science was performed for studies published between January 2010 and July 2025 investigating ferroptosis mechanisms, genetic or pharmacological modulation, or molecular profiling in SCLC. Two reviewers independently performed data extraction and quality… More >

  • Open Access

    ARTICLE

    Adaptive Intelligent Control of a Lumped Evaporator Model Using Wavelet-Based Neural PID with IIR Filtering

    M. A. Vega Navarrete1,*, P. J. Argumedo Teuffer1, C. M. Rodríguez Román1, L. E. Marrón Ramírez2, E. A. Islas Narvaez1

    Frontiers in Heat and Mass Transfer, Vol.24, No.1, 2026, DOI:10.32604/fhmt.2026.076095 - 28 February 2026

    Abstract This article presents an adaptive intelligent control strategy applied to a lumped-parameter evaporator model, i.e., a simplified dynamic representation treating the evaporator as a single thermal node with uniform temperature distribution, suitable for control design due to its balance between physical fidelity and computational simplicity. The controller uses a wavelet-based neural proportional, integral, derivative (PID) controller with IIR filtering (infinite impulse response). The dynamic model captures the essential heat and mass transfer phenomena through a nonlinear energy balance, where the cooling capacity “Qevap” is expressed as a non-linear function of the compressor frequency and the… More >

  • Open Access

    REVIEW

    Circular RNAs: Key Regulators of Tumor Metabolic Reprogramming and Clinical Translation

    Yimao Wu1,2,#, Yitong Liu2,#, Ruowei Sun3,#, Yiyuan Zhang2, Qian Zhang4,*, Chen Li5,*, Mengyao Li1,6,*

    Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2026.075012 - 24 February 2026

    Abstract Tumor metabolic reprogramming is a core hallmark of cancer, characterized by pathways such as aerobic glycolysis, aberrant lipid metabolism, and glutaminolysis that support rapid proliferation and immunosuppressive microenvironments. Circular RNAs (circRNAs) are highly stable, evolutionarily conserved non-coding RNAs that have emerged as critical modulators of these metabolic shifts. This review aims to systematically elucidate the roles and mechanisms of circRNAs in reprogramming tumor metabolism, and to discuss their clinical potential as biomarkers and therapeutic targets. Through mechanisms including miRNA sponging, protein interactions, regulation of mitochondrial dynamics, and modulation of metabolic enzymes, circRNAs influence key metabolic… More >

  • Open Access

    ARTICLE

    Concrete Strength Prediction Using Machine Learning and Somersaulting Spider Optimizer

    Marwa M. Eid1,2,*, Amel Ali Alhussan3, Ebrahim A. Mattar4, Nima Khodadadi5,*, El-Sayed M. El-Kenawy6,7

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.073555 - 29 January 2026

    Abstract Accurate prediction of concrete compressive strength is fundamental for optimizing mix designs, improving material utilization, and ensuring structural safety in modern construction. Traditional empirical methods often fail to capture the non-linear relationships among concrete constituents, especially with the growing use of supplementary cementitious materials and recycled aggregates. This study presents an integrated machine learning framework for concrete strength prediction, combining advanced regression models—namely CatBoost—with metaheuristic optimization algorithms, with a particular focus on the Somersaulting Spider Optimizer (SSO). A comprehensive dataset encompassing diverse mix proportions and material types was used to evaluate baseline machine learning models,… More >

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