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  • Open Access

    ARTICLE

    A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection

    Hamza Murad Khan1, Shakila Basheer2, Mohammad Tabrez Quasim3, Raja`a Al-Naimi4, Vijaykumar Varadarajan5, Anwar Khan1,*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-25, 2026, DOI:10.32604/cmc.2025.069327 - 10 November 2025

    Abstract With the increasing growth of online news, fake electronic news detection has become one of the most important paradigms of modern research. Traditional electronic news detection techniques are generally based on contextual understanding, sequential dependencies, and/or data imbalance. This makes distinction between genuine and fabricated news a challenging task. To address this problem, we propose a novel hybrid architecture, T5-SA-LSTM, which synergistically integrates the T5 Transformer for semantically rich contextual embedding with the Self-Attention-enhanced (SA) Long Short-Term Memory (LSTM). The LSTM is trained using the Adam optimizer, which provides faster and more stable convergence compared… More >

  • Open Access

    ARTICLE

    Determination and assessing the role of serum calcium, vitamin D, ferritin, and uric acid levels on prostate cancer risk

    Abdulbari Bener1,2,*, Ünsal Veli Üstündağ3, Emir Barışık4, Cem Cahit Barışık5

    Canadian Journal of Urology, Vol.32, No.5, pp. 401-409, 2025, DOI:10.32604/cju.2025.067184 - 30 October 2025

    Abstract Objectives: The evidence remains insufficient and controversial for evaluating modifiable parameters—such as vitamin D, calcium, ferritin, and uric acid—as preclinical biomarkers to contribute to the prevention and early diagnosis of prostate cancer, a disease with a prevalence of up to 10%–20% in men over 50 and strongly associated with environmental factors including diet (high in fat and red meat), obesity, physical inactivity, and carcinogen exposure. This study aims to investigate the potential biomarker role of vitamin D, calcium, ferritin, and uric acids in reducing the risk of prostate cancer (PCa). Methods: The case-control design was… More >

  • Open Access

    ARTICLE

    Predictive and Global Effect of Active Smoker in Asthma Dynamics with Caputo Fractional Derivative

    Muhammad Farman1,2,3,*, Noreen Asghar4, Muhammad Umer Saleem4, Kottakkaran Sooppy Nisar5,6, Kamyar Hosseini1,2,7, Mohamed Hafez8,9

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 721-751, 2025, DOI:10.32604/cmes.2025.069541 - 30 October 2025

    Abstract Smoking is harmful to the lungs and has numerous effects on our bodies. This leads to decreased lung function, which increases the lungs’ susceptibility to asthma triggers. In this paper, we develop a new fractional-order model and investigate the impact of smoking on the progression of asthma by using the Caputo operator to analyze different factors. Using the Banach contraction principle, the existence and uniqueness of solutions are established, and the positivity and boundedness of the model are proved. The model further incorporates different stages of smoking to account for incubation periods and other latent… More >

  • Open Access

    ARTICLE

    Non-Newtonian Electroosmotic Flow Effects on a Self-Propelled Undulating Sheet in a Wavy Channel

    Rehman Ali Shah1,2, Zeeshan Asghar3,*, Chenji Li2, Arezoo Ardekani2, Nasir Ali1

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 753-778, 2025, DOI:10.32604/cmes.2025.069177 - 30 October 2025

    Abstract The objective of this work is to investigate the dynamics of a self-propelled undulating sheet in a non-Newtonian electrolyte solution inside a wavy channel under the electroosmotic effect. The electrolyte solution, which is non-Newtonian, is modeled as a Carreau-Yasuda fluid. The flow generated by a combination of an undulating sheet and electroosmotic effect is obtained by solving the continuity and momentum equations. The electroosmotic body force term is derived using the Poisson-Boltzmann equation for the electric potential. A fourth-order ordinary differential equation for the stream function is solved under the Stokes flow regime. The dynamics More >

  • Open Access

    ARTICLE

    A Bi-Level Capacity Configuration Model for Hybrid Energy Storage Considering SOC Self-Recovery

    Fan Chen*, Tianhui Zhang, Man Wang, Zhiheng Zhuang, Qiang Zhang, Zihan Ma

    Energy Engineering, Vol.122, No.10, pp. 4099-4120, 2025, DOI:10.32604/ee.2025.069346 - 30 September 2025

    Abstract The configuration of a hybrid energy storage system (HESS) plays a pivotal role in mitigating wind power fluctuations and enabling primary frequency regulation, thereby enhancing the active power support capability of wind power integration systems. However, most existing studies on HESS capacity configuration overlook the self-recovery control of the state of charge (SOC), creating challenges in sustaining capacity during long-term operation. This omission can impair frequency regulation performance, increase capacity requirements, and shorten battery lifespan. To address these challenges, this study proposes a bi-level planning–operation capacity configuration model that explicitly incorporates SOC self-recovery control. In… More >

  • Open Access

    ARTICLE

    Noninvasive Hemoglobin Estimation with Adaptive Lightweight Convolutional Neural Network Using Wearable PPG

    Florentin Smarandache1, Saleh I. Alzahrani2, Sulaiman Al Amro3, Ijaz Ahmad4, Mubashir Ali5,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3715-3735, 2025, DOI:10.32604/cmes.2025.068736 - 30 September 2025

    Abstract Hemoglobin is a vital protein in red blood cells responsible for transporting oxygen throughout the body. Its accurate measurement is crucial for diagnosing and managing conditions such as anemia and diabetes, where abnormal hemoglobin levels can indicate significant health issues. Traditional methods for hemoglobin measurement are invasive, causing pain, risk of infection, and are less convenient for frequent monitoring. PPG is a transformative technology in wearable healthcare for noninvasive monitoring and widely explored for blood pressure, sleep, blood glucose, and stress analysis. In this work, we propose a hemoglobin estimation method using an adaptive lightweight… More >

  • Open Access

    ARTICLE

    Tolerance of Sweet Sorghum (Sorghum bicolor) to Water Deficit and Irrigation Water Salinity: Water Relations and Production

    Rodrigo Rafael da Silva1,*, Gabriela Carvalho Maia de Queiroz1, Amanda Cibele da Paz Sousa1, Antônio Gustavo de Luna Souto1, Francisco Hélio Alves de Andrade 2, Francimar Maik da Silva Morais1, Rita Magally Oliveira da Silva Marcelino1, Fagner Nogueira Ferreira1, Alex Alvares da Silva3, Maria Isabela Batista Clemente1, Baltazar Cirino Junior1, Wedson Aleff Oliveira da Silva1, Mateus de Freitas Almeida dos Santos1, José Francismar de Medeiros1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2797-2814, 2025, DOI:10.32604/phyton.2025.068089 - 30 September 2025

    Abstract Due to its tolerance to water deficit and salinity, sorghum is considered a suitable crop for cultivation in regions affected by these stress conditions, enabling the efficient use of limited water resources. This study evaluated the resilience of the sweet sorghum cultivar BRS 506 under water deficit and salinity stress, focusing on water relations and yield performance in semiarid conditions. A randomized complete block design was employed in a 3 × 3 factorial arrangement with four replicates. Treatments consisted of three levels of irrigation water salinity (1.50, 3.75, and 6.00 dS m−1) and three irrigation levels… More >

  • Open Access

    ARTICLE

    SMOTE-Optimized Machine Learning Framework for Predicting Retention in Workforce Development Training

    Abdulaziz Alshahrani*

    CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 4067-4090, 2025, DOI:10.32604/cmc.2025.065211 - 23 September 2025

    Abstract High dropout rates in short-term job skills training programs hinder workforce development. This study applies machine learning to predict program completion while addressing class imbalance challenges. A dataset of 6548 records with 24 demographic, educational, program-specific, and employment-related features was analyzed. Data preprocessing involved cleaning, encoding categorical variables, and balancing the dataset using the Synthetic Minority Oversampling Technique (SMOTE), as only 15.9% of participants were dropouts. six machine learning models—Logistic Regression, Random Forest, Support Vector Machine, K-Nearest Neighbors, Naïve Bayes, and XGBoost—were evaluated on both balanced and unbalanced datasets using an 80-20 train-test split. Performance More >

  • Open Access

    ARTICLE

    A Numerical Investigation of Smoke Propagation in Atrium Fires: Role of Make-Up Air Velocity and Fire Source Position with Polystyrene Fuel

    Mohamed Gamal1,#, Hamdy Ashour1,#, Omar Huzayyin2, Maran Marimuthu3, Ghulam E Mustafa Abro4,*, Lina Mohamed1

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 2027-2046, 2025, DOI:10.32604/fdmp.2025.067678 - 12 September 2025

    Abstract Atrium spaces, common in modern construction, provide significant fire safety challenges due to their large vertical openings, which facilitate rapid smoke spread and reduce sprinkler effectiveness. Traditional smoke management systems primarily rely on make-up air to replace the air expelled through vents. Inadequate calibration, particularly with air velocity, can worsen fire conditions by enhancing oxygen supply, increasing soot production, and reducing visibility, so endangering safe evacuation. This study investigates the impact of make-up air velocity on smoke behaviour in atrium environments through 24 simulations performed using the Fire Dynamics Simulator (FDS). Scenarios include various fire… More >

  • Open Access

    ARTICLE

    Smoke Detector for Outdoor Parking Lots Based on Improved YOLOv8

    Gang He1, Zhuoyan Chen1, Mufeng Wang2, Xingcheng Yang3, Zhenyong Zhang1,*

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 729-750, 2025, DOI:10.32604/cmc.2025.066748 - 29 August 2025

    Abstract In rapid urban development, outdoor parking lots have become essential components of urban transportation systems. However, the increasing number of parking lots is accompanied by a rising risk of vehicle fires, posing a serious challenge to public safety. As a result, there is a critical need for fire warning systems tailored to outdoor parking lots. Traditional smoke detection methods, however, struggle with the complex outdoor environment, where smoke characteristics often blend into the background, resulting in low detection efficiency and accuracy. To address these issues, this paper introduces a novel model named Dynamic Contextual Transformer… More >

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