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  • Open Access

    ARTICLE

    Multi-Label Machine Learning Classification of Cardiovascular Diseases

    Chih-Ta Yen1,*, Jung-Ren Wong2, Chia-Hsang Chang2

    CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 347-363, 2025, DOI:10.32604/cmc.2025.063389 - 09 June 2025

    Abstract In its 2023 global health statistics, the World Health Organization noted that noncommunicable diseases (NCDs) remain the leading cause of disease burden worldwide, with cardiovascular diseases (CVDs) resulting in more deaths than the three other major NCDs combined. In this study, we developed a method that can comprehensively detect which CVDs are present in a patient. Specifically, we propose a multi-label classification method that utilizes photoplethysmography (PPG) signals and physiological characteristics from public datasets to classify four types of CVDs and related conditions: hypertension, diabetes, cerebral infarction, and cerebrovascular disease. Our approach to multi-disease classification… More >

  • Open Access

    ARTICLE

    Shock-Capturing Particle Hydrodynamics with Reproducing Kernels

    Stephan Rosswog1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1713-1741, 2025, DOI:10.32604/cmes.2025.062063 - 30 May 2025

    Abstract We present and explore a new shock-capturing particle hydrodynamics approach. Our starting point is a commonly used discretization of smoothed particle hydrodynamics. We enhance this discretization with Roe’s approximate Riemann solver, we identify its dissipative terms, and in these terms, we use slope-limited linear reconstruction. All gradients needed for our method are calculated with linearly reproducing kernels that are constructed to enforce the two lowest-order consistency relations. We scrutinize our reproducing kernel implementation carefully on a “glass-like” particle distribution, and we find that constant and linear functions are recovered to machine precision. We probe our More >

  • Open Access

    ARTICLE

    Stretch Enhances Secretion of Extracellular Vehicles from Airway Smooth Muscle Cells via Endoplasmic Reticulum Stress Signaling in Relation to Ventilator-Induced Lung Injury

    MINGZHI LUO#,*, CHANGYU SUN#, JIA GUO, XIANGRONG ZHANG, JING ZHANG, XUANYU SHI, LEI LIU, YAN PAN, JINGJING LI, LINHONG DENG*

    BIOCELL, Vol.49, No.5, pp. 833-855, 2025, DOI:10.32604/biocell.2025.063869 - 27 May 2025

    Abstract Background: Mechanical ventilation (MV) provides life support for patients with severe respiratory distress but can simultaneously cause ventilator-induced lung injury (VILI). However, due to a poor understanding of its mechanism, there is still a lack of effective remedies for the often-deadly VILI. Recent studies indicate that the stretch associated with MV can enhance the secretion of extracellular vesicles (EVs) and induce endoplasmic reticulum (ER) stress in airway smooth muscle cells (ASMCs), both of which can contribute to VILI. But whether MV-associated stretch enhances the secretion of EVs via ER stress in ASMCs as an underlying… More > Graphic Abstract

    Stretch Enhances Secretion of Extracellular Vehicles from Airway Smooth Muscle Cells via Endoplasmic Reticulum Stress Signaling in Relation to Ventilator-Induced Lung Injury

  • Open Access

    ARTICLE

    Enhancing Fire Detection with YOLO Models: A Bayesian Hyperparameter Tuning Approach

    Van-Ha Hoang1, Jong Weon Lee1, Chun-Su Park2,*

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4097-4116, 2025, DOI:10.32604/cmc.2025.063468 - 19 May 2025

    Abstract Fire can cause significant damage to the environment, economy, and human lives. If fire can be detected early, the damage can be minimized. Advances in technology, particularly in computer vision powered by deep learning, have enabled automated fire detection in images and videos. Several deep learning models have been developed for object detection, including applications in fire and smoke detection. This study focuses on optimizing the training hyperparameters of YOLOv8 and YOLOv10 models using Bayesian Tuning (BT). Experimental results on the large-scale D-Fire dataset demonstrate that this approach enhances detection performance. Specifically, the proposed approach… More >

  • Open Access

    ARTICLE

    YOLO-AB: A Fusion Algorithm for the Elders’ Falling and Smoking Behavior Detection Based on Improved YOLOv8

    Xianghong Cao, Chenxu Li*, Haoting Zhai

    CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5487-5515, 2025, DOI:10.32604/cmc.2025.061823 - 19 May 2025

    Abstract The behavior safety testing of more and more elderly people living alone has become a hot research topic along with the arrival of an aging society. A YOLO-Abnormal Behaviour (YOLO-AB) algorithm for fusion detection of falling and smoking behaviors of elderly people living alone has been proposed in this paper, which can fully utilize the potential of the YOLOv8 algorithm on object detection and deeply explore the characteristics of different types of behaviors among the elderly, to solve the problems of single detection type, low fusion detection accuracy, and high missed detection rate. Firstly, datasets… More >

  • Open Access

    ARTICLE

    Deterministic Convergence Analysis for GRU Networks via Smoothing Regularization

    Qian Zhu1, Qian Kang1, Tao Xu2, Dengxiu Yu3,*, Zhen Wang1

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 1855-1879, 2025, DOI:10.32604/cmc.2025.061913 - 16 April 2025

    Abstract In this study, we present a deterministic convergence analysis of Gated Recurrent Unit (GRU) networks enhanced by a smoothing regularization technique. While GRU architectures effectively mitigate gradient vanishing/exploding issues in sequential modeling, they remain prone to overfitting, particularly under noisy or limited training data. Traditional regularization, despite enforcing sparsity and accelerating optimization, introduces non-differentiable points in the error function, leading to oscillations during training. To address this, we propose a novel smoothing regularization framework that replaces the non-differentiable absolute function with a quadratic approximation, ensuring gradient continuity and stabilizing the optimization landscape. Theoretically, we rigorously… More >

  • Open Access

    ARTICLE

    Growth Dilatory Effects of PEG and Sucrose on Geranium wallichianum: An In Vitro Approach for Conservation

    Zubair Ashraf1, Yasar Sajjad1,*, Sabaz Ali Khan1, Gulzar Akhtar2, Ahmed Mahmoud Ismail3,4,*, Tarek A. Shalaby3, Bader Alsubaie5, Othman Al-Dossary5

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 987-1006, 2025, DOI:10.32604/phyton.2025.062351 - 31 March 2025

    Abstract The medicinal herb Geranium wallichianum belongs to the family Geraniaceae. The East Asian Himalayas are its primary habitat. Overexploitation and overharvesting pose a threat to this plant, given its extensive ethnomedical utilization in the community. In Pakistan, its population has already declined by over 75%. Given its critical medicinal importance, urgent conservation efforts are needed to prevent extinction. The aim of the current research was to determine the effectiveness of sucrose and polyethylene glycol (PEG) in decelerating the growth of this medicinally important species. Nodal segments were utilized as explant with varying levels of polyethylene glycol… More >

  • Open Access

    ARTICLE

    First Occurrence of Coffee (Coffea arabica L.) Wilt Disease Caused by Neocosmospora falciformis in Saudi Arabia as Corroborated by Molecular Characterization and Pathogenicity Test

    Ahmed Mahmoud Ismail1,2,*, Khalid Alhudaib1, Donato Magistà3,4

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 679-693, 2025, DOI:10.32604/phyton.2025.062196 - 31 March 2025

    Abstract Coffee wilt represents one of the most devastating diseases of Arabica coffee (Coffea arabica L.) plantations in the primary coffee-producing regions. In this study, coffee trees manifesting wilt symptoms accompanied by the defoliation and drying of the whole tree were observed in the Jazan, El Baha, Najran, and Asir regions. The purpose of this investigation was to isolate and identify the Fusarium species recovered from symptomatic coffee trees. The developed fungi were initially characterized based on their morphological features followed by molecular phylogenetic multi-locus analysis of the combined sequences of ITS, TEF1-α, RPB2, and CaM. Twenty-five isolates… More >

  • Open Access

    REVIEW

    From Cell Division to Stress Tolerance: The Versatile Roles of Cytokinins in Plants

    Antonio Rodrigues da Cunha Neto1, Alexandra dos Santos Ambrósio1, Arlinda de Jesus Rodrigues Resende1, Breno Régis Santos1, Michele Carla Nadal2,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 539-560, 2025, DOI:10.32604/phyton.2025.061776 - 31 March 2025

    Abstract Cytokinins are plant hormones that are essential for plant growth and development and are involved in a variety of processes. They are synthesized by the modification of adenine with an isoprenoid chain, resulting in cytokinins such as isopentenyladenine and zeatin. The levels of these hormones are regulated by conjugation, degradation and oxidation processes that modulate their activity. Cytokinins are perceived by cells through specific receptors that, when activated, trigger signaling cascades responsible for regulating the expression of genes critical for development. In addition, cytokinins interact with other hormones, such as auxins, to coordinate plant growth… More >

  • Open Access

    ARTICLE

    Nanoparticle Distribution in Compression Ignition Engines Using Rapeseed Methyl Ester

    Hayder A. Dhahad1, Miqdam T. Chaichan2,*, Mohammed A. Fayad2, Hasanain A. Abdul Wahhab3, T. Magrites4

    Energy Engineering, Vol.122, No.4, pp. 1249-1264, 2025, DOI:10.32604/ee.2025.061617 - 31 March 2025

    Abstract One of the most important of these emissions is fine particulate matter, which is a harmful emission of diesel engines, leading to the imposition of strict regulations. Biodiesel, with its high oxygen content, is an effective alternative to significantly reduce these emissions. In this study, rapeseed methyl ester (RME) was used as a diesel engine fuel and the emitted particulate matter was compared with ultra-low sulfur diesel (ULSD). In most experimental studies, the emission of soot was measured. In this work, the effects of injection timing, injection pressure (IP), and engine load on fine particulate… More > Graphic Abstract

    Nanoparticle Distribution in Compression Ignition Engines Using Rapeseed Methyl Ester

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