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  • Open Access


    CircR-ZC3HC1 mediates MiR-384-5p/SIRT1 axis to promote neuronal autophagy and relieves ischemic stroke


    BIOCELL, Vol.48, No.3, pp. 491-499, 2024, DOI:10.32604/biocell.2023.047640

    Abstract Objective: Circular RNAs (circRNAs) have been shown to involve in pathological processes of ischemic stroke (IS), including autophagy. This study was designed to explore the effect of circR-ZC3HC1 on neuronal autophagy in IS and the related mechanisms. Methods: Expression of circR-ZC3HC1 in blood samples of IS patients and healthy controls was detected. Hippocampal neurons were treated with oxygen and glucose deprivation (OGD) to establish IS in vitro model. The expression of LC3 and p62 and the number of autophagosomes were examined to evaluate the autophagy level of OGD induced neurons using western blotting and transmission electron… More >

  • Open Access


    Stroke Risk Assessment Decision-Making Using a Machine Learning Model: Logistic-AdaBoost

    Congjun Rao1, Mengxi Li1, Tingting Huang2,*, Feiyu Li1

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 699-724, 2024, DOI:10.32604/cmes.2023.044898

    Abstract Stroke is a chronic cerebrovascular disease that carries a high risk. Stroke risk assessment is of great significance in preventing, reversing and reducing the spread and the health hazards caused by stroke. Aiming to objectively predict and identify strokes, this paper proposes a new stroke risk assessment decision-making model named Logistic-AdaBoost (Logistic-AB) based on machine learning. First, the categorical boosting (CatBoost) method is used to perform feature selection for all features of stroke, and 8 main features are selected to form a new index evaluation system to predict the risk of stroke. Second, the borderline… More >

  • Open Access


    A Stroke-Limitation AMD Control System with Variable Gain and Limited Area for High-Rise Buildings

    Zuo-Hua Li1, Qing-Gui Wu1,*, Jun Teng1,*, Chao-Jun Chen1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 865-884, 2024, DOI:10.32604/cmes.2023.029927

    Abstract Collisions between a moving mass and an anti-collision device increase structural responses and threaten structural safety. An active mass damper (AMD) with stroke limitations is often used to avoid collisions. However, a stroke-limited AMD control system with a fixed limited area shortens the available AMD stroke and leads to significant control power. To solve this problem, the design approach with variable gain and limited area (VGLA) is proposed in this study. First, the boundary of variable-limited areas is calculated based on the real-time status of the moving mass. The variable gain (VG) expression at the More >

  • Open Access


    TMCA-Net: A Compact Convolution Network for Monitoring Upper Limb Rehabilitation

    Qi Liu1, Zihao Wu1,*, Xiaodong Liu2

    Journal on Internet of Things, Vol.4, No.3, pp. 169-181, 2022, DOI:10.32604/jiot.2022.040368

    Abstract This study proposed a lightweight but high-performance convolution network for accurately classifying five upper limb movements of arm, involving forearm flexion and rotation, arm extension, lumbar touch and no reaction state, aiming to monitoring patient’s rehabilitation process and assist the therapist in elevating patient compliance with treatment. To achieve this goal, a lightweight convolution neural network TMCA-Net (Time Multiscale Channel Attention Convolutional Neural Network) is designed, which combines attention mechanism, uses multi-branched convolution structure to automatically extract feature information at different scales from sensor data, and filters feature information based on attention mechanism. In particular,… More >

  • Open Access


    An Ensemble Machine Learning Technique for Stroke Prognosis

    Mesfer Al Duhayyim1,*, Sidra Abbas2,*, Abdullah Al Hejaili3, Natalia Kryvinska4, Ahmad Almadhor5, Uzma Ghulam Mohammad6

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 413-429, 2023, DOI:10.32604/csse.2023.037127

    Abstract Stroke is a life-threatening disease usually due to blockage of blood or insufficient blood flow to the brain. It has a tremendous impact on every aspect of life since it is the leading global factor of disability and morbidity. Strokes can range from minor to severe (extensive). Thus, early stroke assessment and treatment can enhance survival rates. Manual prediction is extremely time and resource intensive. Automated prediction methods such as Modern Information and Communication Technologies (ICTs), particularly those in Machine Learning (ML) area, are crucial for the early diagnosis and prognosis of stroke. Therefore, this… More >

  • Open Access


    TianmaGouteng yin attenuates ischemic stroke-induced brain injury by inhibiting the AGE/RAGE pathway


    BIOCELL, Vol.47, No.6, pp. 1345-1352, 2023, DOI:10.32604/biocell.2023.028866

    Abstract Background: Ischemic stroke is characterized by permanent or transient obstruction of blood flow, leading to a growing risk factor and health burden. Tianmagouteng yin (TMG) is commonly used in Chinese medicine to treat cerebral ischemia. The aim of this study was to investigate the neuroprotective effects of TMG against ischemic stroke. Methods: Either permanent middle cerebral artery occlusion (pMCAO) or sham operation was performed on anesthetized Wistar male rats (n = 36). Results: Results demonstrated that TMG administration reduced the infarction volume and mitigated the neurobehavioral deficits. Hematoxylin and eosin (HE) staining and Prussian blue staining revealed More >

  • Open Access



    Hussein Al-Gburi*, Doaa Fadhil Kareem, Malik N. Hawas

    Frontiers in Heat and Mass Transfer, Vol.18, pp. 1-6, 2022, DOI:10.5098/hmt.18.28

    Abstract In this article, an investigational analysis has been conducted to explore the effect of biodiesel fuel blends on characteristics of engine and releases (CO2, CO, HCl, and NOx) of single-cylinder, four strokes at the variable biodiesel concentration. The releases of gases and the engine's characteristics were measured at six blending biofuels and six-speed conditions and constant load. The blending proportions of biodiesel with diesel fuel-based by volume were at 0% pure diesel, 5%, 10%, 15%, 20%, and 25%. This investigation aims to assess the biodiesel fuel mixture's impact on the CI engine performance in terms More >

  • Open Access


    Deep Learning-Enabled Brain Stroke Classification on Computed Tomography Images

    Azhar Tursynova1, Batyrkhan Omarov1,2, Natalya Tukenova3,*, Indira Salgozha4, Onergul Khaaval3, Rinat Ramazanov5, Bagdat Ospanov5

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1431-1446, 2023, DOI:10.32604/cmc.2023.034400

    Abstract In the field of stroke imaging, deep learning (DL) has enormous untapped potential. When clinically significant symptoms of a cerebral stroke are detected, it is crucial to make an urgent diagnosis using available imaging techniques such as computed tomography (CT) scans. The purpose of this work is to classify brain CT images as normal, surviving ischemia or cerebral hemorrhage based on the convolutional neural network (CNN) model. In this study, we propose a computer-aided diagnostic system (CAD) for categorizing cerebral strokes using computed tomography images. Horizontal flip data magnification techniques were used to obtain more… More >

  • Open Access


    Lower Limb Muscle Forces in Table Tennis Footwork during Topspin Forehand Stroke Based on the OpenSim Musculoskeletal Model: A Pilot Study

    Yuqi He1,2,3, Shirui Shao1, Gusztáv Fekete3, Xiaoyi Yang1, Xuanzhen Cen1,4, Yang Song1,4, Dong Sun1,*, Yaodong Gu1,*

    Molecular & Cellular Biomechanics, Vol.19, No.4, pp. 221-235, 2022, DOI:10.32604/mcb.2022.027285

    Abstract Introduction: Footwork is one of the training contents that table tennis players and coaches focus on. This study aimed to gain a thorough understanding of the muscle activity of the table tennis footwork and creating a musculoskeletal model to investigate the muscle forces, joint kinematic, and joint kinetic characteristics of the footwork during topspin forehand stroke. Methods: Six male table tennis athletes (height: 171.98 ± 4.97 cm; weight: 68.77 ± 7.86 kg; experience: 10.67 ± 1.86 years; age: 22.50 ± 1.64 years) performed chasse step and one-step footwork to return the ball from the coach by… More >

  • Open Access


    Enhanced Detection of Cerebral Atherosclerosis Using Hybrid Algorithm of Image Segmentation

    Shakunthala Masi*, Helenprabha Kuttiappan

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 733-744, 2023, DOI:10.32604/iasc.2023.025919

    Abstract In medical science for envisaging human body’s phenomenal structure a major part has been driven by image processing techniques. Major objective of this work is to detect of cerebral atherosclerosis for image segmentation application. Detection of some abnormal structures in human body has become a difficult task to complete with some simple images. For expounding and distinguishing neural architecture of human brain in an effective manner, MRI (Magnetic Resonance Imaging) is one of the most suitable and significant technique. Here we work on detection of Cerebral Atherosclerosis from MRI images of patients. Cerebral Atherosclerosis is… More >

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