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  • Open Access

    ARTICLE

    A New Modified Inverse Lomax Distribution: Properties, Estimation and Applications to Engineering and Medical Data

    Abdullah M. Almarashi*

    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.2, pp. 621-643, 2021, DOI:10.32604/cmes.2021.014407 - 19 April 2021

    Abstract In this paper, a modified form of the traditional inverse Lomax distribution is proposed and its characteristics are studied. The new distribution which called modified logarithmic transformed inverse Lomax distribution is generated by adding a new shape parameter based on logarithmic transformed method. It contains two shape and one scale parameters and has different shapes of probability density and hazard rate functions. The new shape parameter increases the flexibility of the statistical properties of the traditional inverse Lomax distribution including mean, variance, skewness and kurtosis. The moments, entropies, order statistics and other properties are discussed.… More >

  • Open Access

    ARTICLE

    MHD and Viscous Dissipation Effects in Marangoni Mixed Flow of a Nanofluid over an Inclined Plate in the Presence of Ohmic Heating

    D. R. V. S. R. K. Sastry1, Peri K. Kameswaran2, Mohammad Hatami3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.2, pp. 285-300, 2021, DOI:10.32604/fdmp.2021.014429 - 02 April 2021

    Abstract The problem of Marangoni mixed convection in the presence of an inclined magnetic field with uniform strength in a nanofluid (formed by the dispersion of two metallic nanoparticles, i.e., Copper (Cu), and alumina (Al2O3) in water) is addressed numerically. The effects of viscous dissipation and Ohmic heating are also considered. The original set of governing partial differential equations is reduced to a set of non-linear coupled ordinary differential equations employing the similarity transformation technique. The simplified equations are numerically solved through MATLAB ‘bvp4c’ algorithm. The results are presented in terms of graphs for several parameters. It More >

  • Open Access

    CASE REPORT

    Arrhythmias in Common Arterial Trunk (CAT): Uncommon Atrial Tachycardia in CAT with Anomalous Pulmonary Venous Connection and Re-entry Atrial Tachycardia in CAT with HIV Seropositive Mother

    Elio Caruso1, Silvia Farruggio1,*, Davide Calvaruso1, Corrado Di Mambro1, David Angel Ortiz Ruiz1, Salvatore Agati1, Rafie Khoargami2

    Congenital Heart Disease, Vol.16, No.4, pp. 417-425, 2021, DOI:10.32604/CHD.2021.015808 - 19 April 2021

    Abstract We show a brief report of two common arterial trunk cases (CAT) with different arrhythmias and discuss anatomy, clinical and diagnostic management. The burden of volume and pressure overload of this cardiac malformation may predispose to different types of arrhythmia before and after surgical repair. Because of labile hemodynamic state in this group of patients, prompt diagnosis of any arrhythmia is mandatory as the devastating factor on prognosis. The first patient with a diagnosis of CAT Type II Collett and Edwards (CE) had a particular history with HIV seropositive mother assuming antiretroviral therapy during pregnancy, More >

  • Open Access

    REVIEW

    Fetal Bradyarrhythmias: Etiopathogenesis, Diagnosis and Treatment: Between Literature Review and Experience of a Tertiary Center

    Elio Caruso*, Silvia Farruggio, Salvatore Agati, Corrado Di Mambro

    Congenital Heart Disease, Vol.16, No.4, pp. 309-331, 2021, DOI:10.32604/CHD.2021.015470 - 19 April 2021

    Abstract Fetal arrhythmias reach up around 10% of the total third-level perinatal cardiology references. Sustained bradycardia is defined as a baseline fetal heart rate (FHR) of less than 110 bpm sustained for at least 10 min. The overall incidence of malignant fetal bradyarrhythmias, such as complete atrioventricular block (AVB) and channellopathies, is relatively rare, 1:5000 pregnancies, but represents a serious emergency for the gynecologist, neonatologists, and pediatric cardiologists. Fetal complete AVB is strongly associated with maternal connective tissue disease, but it can be also associated with congenital heart disease and usually with a poorer prognosis with More >

  • Open Access

    ARTICLE

    Higher Child-Reported Internalizing and Parent-Reported Externalizing Behaviors were Associated with Decreased Quality of Life among Pediatric Cardiac Patients Independent of Diagnosis: A Cross-Sectional Mixed-Methods Assessment

    Jacqueline S. Lee1,2, Angelica Blais1,2, Julia Jackson1, Bhavika J. Patel1, Lillian Lai4, Gary Goldfield1,3, Renee Sananes5, Patricia E. Longmuir1,2,3,*

    Congenital Heart Disease, Vol.16, No.3, pp. 255-267, 2021, DOI:10.32604/CHD.2021.014628 - 02 March 2021

    Abstract Background: Pediatric cardiology patients often experience decreased quality of life (QoL) and higher rates of mental illness, particularly with severe disease, but the relationship between them and comparisons across diagnostic groups are limited. This mixed-methods cross-sectional study assessed the association between QoL anxiety and behavior problems among children with structural heart disease, arrhythmia, or other cardiac diagnoses. Methods: Children (6–14 years, n = 76, 50% female) and their parents completed measures of QoL (PedsQL), behavior (BASC-2, subset of 19 children) and anxiety (MASC-2, children 8+ years). Pearson correlations/regression models examined associations between QoL, behavior and anxiety,… More >

  • Open Access

    ARTICLE

    Cardiac Arrhythmia Disease Classification Using LSTM Deep Learning Approach

    Muhammad Ashfaq Khan, Yangwoo Kim*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 427-443, 2021, DOI:10.32604/cmc.2021.014682 - 12 January 2021

    Abstract Many approaches have been tried for the classification of arrhythmia. Due to the dynamic nature of electrocardiogram (ECG) signals, it is challenging to use traditional handcrafted techniques, making a machine learning (ML) implementation attractive. Competent monitoring of cardiac arrhythmia patients can save lives. Cardiac arrhythmia prediction and classification has improved significantly during the last few years. Arrhythmias are a group of conditions in which the electrical activity of the heart is abnormal, either faster or slower than normal. It is the most frequent cause of death for both men and women every year in the… More >

  • Open Access

    ARTICLE

    Arrhythmic Risk in Paediatric Patients Undergoing Surgical Repair for Pulmonary Atresia with Intact Ventricular Septum

    Pietro Paolo Tamborrino1,2, Corrado Di Mambro1,2,*, Cecilia Marcolin1,2, Walter Vignaroli3, Giulia Cafiero4, Gianluca Brancaccio3, Sonia Albanese3, Massimo Stefano Silvetti1,2, Adriano Carotti3, Fabrizio Drago1,2

    Congenital Heart Disease, Vol.16, No.1, pp. 85-94, 2021, DOI:10.32604/CHD.2021.013038 - 23 December 2020

    Abstract Introduction: While previous studies only focused on the arrhythmic risk associated with specific correction strategies, this study evaluates this risk in a large cohort of paediatric patients with all phenotypes of PA-IVS after surgical repair. Methods: In this single centre observational cohort study, we retrospectively evaluated 165 patients with a diagnosis of PA-IVS and we excluded those with an exclusively percutaneous treatment, patients lost or with insufficient follow-up and those affected by other arrhythmic syndromes. Surgical history and clinical outcomes were reviewed. Results: 86 patients were included in the study (54 male [62.8%], mean age 16.4 ±… More >

  • Open Access

    ARTICLE

    A New Logarithmic Family of Distributions: Properties and Applications

    Yanping Wang1,2, Zhengqiang Feng1, Almaspoor Zahra3,*

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 919-929, 2021, DOI:10.32604/cmc.2020.012261 - 30 October 2020

    Abstract In recent years, there has been an increased interest among the researchers to propose new families of distributions to provide the best fit to lifetime data with monotonic (increasing, decreasing, constant) and non-monotonic (unimodal, modified unimodal, bathtub) hazard functions. We further carry this area of research and propose a new family of lifetime distributions called a new logarithmic family via the T-X family approach. For the proposed family, explicit expressions for some mathematical properties along with the estimation of parameters through Maximum likelihood method are discussed. A sub-model, called a new logarithmic Weibull distribution is taken… More >

  • Open Access

    ARTICLE

    Abnormal Coronary Anatomy in Patients with Transposition of the Great Arteries and Atrial Switch: A Predictor of Serious Cardiac Adverse Events?

    Yoann Perreux1, Marie Alexandre Chaix2, Anna Kamp3, François-Pierre Mongeon2, Magali Pham2, Loïc Boussel1, Roland Henaine1, Annie Dore2, Blandine Mondésert2, Sylvie Di-Filippo1, Paul Khairy2, Francis Bessiere1,*

    Congenital Heart Disease, Vol.15, No.6, pp. 473-482, 2020, DOI:10.32604/CHD.2020.013032 - 02 November 2020

    Abstract Sudden cardiac death and heart failure are well known long-term complications after atrial switch for D-transposition of the great arteries (D-TGA). Right systemic ventricular dysfunction is common and myocardial ischemia has been implicated as a putative mechanism for sudden death, with coronary anomalies prevalent in 30% of cases. We sought to assess an association between adverse events and coronary anomalies in patients with D-TGA and atrial switch surgery. An observational study was conducted in 3 tertiary centers (Montreal Heart Institute, Canada, Nationwide Children’s hospital, Chicago, USA and Hopital cardiologique Louis Pradel de Lyon, France). Adults… More >

  • Open Access

    ARTICLE

    PDNet: A Convolutional Neural Network Has Potential to be Deployed on Small Intelligent Devices for Arrhythmia Diagnosis

    Fei Yang1,2,#, Xiaoqing Zhang1,*,#, Yong Zhu3

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 365-382, 2020, DOI:10.32604/cmes.2020.010798 - 18 September 2020

    Abstract Heart arrhythmia is a group of irregular heartbeat conditions and is usually detected by electrocardiograms (ECG) signals. Over the past years, deep learning methods have been developed to classify different types of heart arrhythmias through ECG based on computer-aided diagnosis systems (CADs), but these deep learning methods usually cannot trade-off between classification performance and parameters of deep learning methods. To tackle this problem, this work proposes a convolutional neural network (CNN) model named PDNet to recognize different types of heart arrhythmias efficiently. In the PDNet, a convolutional block named PDblock is devised, which is comprised More >

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