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  • Open Access

    ARTICLE

    HE4 Might Participate in Extracellular Matrix Remodeling in Ovarian Cancer via Activation of Fibroblasts

    Yimin Liu1,#, Bin Liu2,3,4,#, Huabin Gao1, Jinlong Wang5, Jingya Duan1, Xiaolan Huang1, Yuexi Liu1, Ying Huang1, Wenjing Liao1, Ruonan Li1,*, Hua Linghu1,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.069007 - 30 December 2025

    Abstract Objectives: High-grade serous ovarian cancer (HGSOC), the most common subtype of epithelial ovarian cancer (EOC), exhibits a mesenchymal phenotype characterized by fibrotic stroma and poor prognosis. Human epididymis protein 4 (HE4), a key diagnostic biomarker for ovarian cancer, is involved in fibrotic processes in several non-malignant diseases. Given the clinical significance of stromal fibrosis in HGSOC and the potential link between HE4 and fibrosis, this study aimed to investigate the role of HE4 in the formation of stromal fibrosis in HGSOC. Methods: A total of 126 patients with gynecological conditions were included and divided into… More > Graphic Abstract

    HE4 Might Participate in Extracellular Matrix Remodeling in Ovarian Cancer via Activation of Fibroblasts

  • 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

    Synergistic Effects of Melatonin and Methyl Jasmonate in Mitigating Drought-Induced Oxidative Stress in Common Bean (Phaseolus vulgaris)

    Totan Kumar Ghosh1, Md. Roushonuzzaman Rakib1, Munna1, S. M. Zubair AL-Meraj1, Md. Moshiul Islam2, Anika Nazran1, Mohammad Golam Mostofa3,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 3925-3943, 2025, DOI:10.32604/phyton.2025.073382 - 29 December 2025

    Abstract The productivity of common bean (Phaseolus vulgaris L.), an economically important legume, is severely hindered by drought stress. While melatonin (Mel) and methyl jasmonate (MeJA) are known to alleviate abiotic stresses, their combined effects in mitigating drought-induced oxidative stress are unknown. Here, we examined the synergistic effects of Mel and MeJA in alleviating drought-associated oxidative damage in common bean. Compared with well-watered controls, drought stress caused a significant decline in plant biomass, photosynthetic pigments, and photosystem II efficiency (Fv/Fm). Drought also significantly increased hydrogen peroxide (H2O2) accumulation, which likely contributed to membrane lipid peroxidation, as indicated by… More >

  • Open Access

    ARTICLE

    PPG Based Digital Biomarker for Diabetes Detection with Multiset Spatiotemporal Feature Fusion and XAI

    Mubashir Ali1,2, Jingzhen Li1, Zedong Nie1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4153-4177, 2025, DOI:10.32604/cmes.2025.073048 - 23 December 2025

    Abstract Diabetes imposes a substantial burden on global healthcare systems. Worldwide, nearly half of individuals with diabetes remain undiagnosed, while conventional diagnostic techniques are often invasive, painful, and expensive. In this study, we propose a noninvasive approach for diabetes detection using photoplethysmography (PPG), which is widely integrated into modern wearable devices. First, we derived velocity plethysmography (VPG) and acceleration plethysmography (APG) signals from PPG to construct multi-channel waveform representations. Second, we introduced a novel multiset spatiotemporal feature fusion framework that integrates hand-crafted temporal, statistical, and nonlinear features with recursive feature elimination and deep feature extraction using… More >

  • Open Access

    ARTICLE

    Double Diffusion Convection in Sisko Nanofluids with Thermal Radiation and Electroosmotic Effects: A Morlet-Wavelet Neural Network Approach

    Arshad Riaz1,*, Misbah Ilyas1, Muhammad Naeem Aslam2, Safia Akram3, Sami Ullah Khan4, Ghaliah Alhamzi5

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3481-3509, 2025, DOI:10.32604/cmes.2025.072513 - 23 December 2025

    Abstract Peristaltic transport of non-Newtonian nanofluids with double diffusion is essential to biological engineering, microfluidics, and manufacturing processes. The authors tackle the key problem of Sisko nanofluids under double diffusion convection with thermal radiations and electroosmotic effects. The study proposes a solution approach by using Morlet-Wavelet Neural Networks that can effectively solve this complex problem by their superior ability in the capture of nonlinear dynamics. These convergence analyses were calculated across fifty independent runs. Theil’s Inequality Coefficient and the Mean Squared Error values range from 10−7 to 10−5 and 10−7 to 10−10, respectively. These values showed the proposed 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 >

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