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  • Open Access

    ARTICLE

    Time course of the changes in right and left ventricle function and associated factors after transcatheter closure of atrial septal defects

    Byung W. Yoo1, Jung O. Kim2, Lucy Y. Eun2, Jae Y. Choi2, Dong S. Kim3

    Congenital Heart Disease, Vol.13, No.1, pp. 131-139, 2018, DOI:10.1111/chd.12541

    Abstract Objective: The purpose of this study was to evaluate the changes in right ventricle (RV) and left ventricle (LV) function after transcatheter atrial septal defect (ASD) closure and to assess the influence of the age and the amount of shunt.
    Design: Retrospective study
    Patients: Fifty-three adult patients who underwent transcatheter closure were enrolled, then divided into subgroups according to the age (< 40 years vs ≥ 40 years), and the amount of shunt flow (QpQs < 2.5 vs QpQs ≥ 2.5).
    Outcome Measures: Two-dimensional tissue Doppler imaging was performed in a four-chamber view at the basal ventricular septum (VS) and… More >

  • Open Access

    ARTICLE

    Screening performance of congenital heart defects in first trimester using simple cardiac scan, nuchal translucency, abnormal ductus venosus blood flow and tricuspid regurgitation

    Natasa Karadzov Orlic1, Amira Egic1, Barbara Damnjanovic‐Pazin MD2 | Relja Lukic1, Ivana Joksic3, Zeljko Mikovic1

    Congenital Heart Disease, Vol.14, No.6, pp. 1094-1101, 2019, DOI:10.1111/chd.12852

    Abstract Objective: The objective of this study was to analyze if the addition of simple cardiac scan in cases with increased nuchal translucency (NT) and/or abnormal ductus venosus (DV) blood flow, and/or tricuspid regurgitation (TCR) can improve detection of congenital heart defects (CHD) in chromosomally normal fetuses without non‐ cardiac defects at 11‐13 + 6 gestational weeks in a population of singleton pregnancies.
    Methods: During the 10 years period, all singleton pregnancies at 11‐13 + 6 weeks were routinely scanned for NT, DV blood flow and TCR assessment and, if a sin‐ gle of these parameters was abnormal, simple cardiac scan… More >

  • Open Access

    ARTICLE

    Parallelization and I/O Performance Optimization of a Global Nonhydrostatic Dynamical Core Using MPI

    Tiejun Wang1, Liu Zhuang2, Julian M. Kunkel3, Shu Xiao1, Changming Zhao1, *

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1399-1413, 2020, DOI:10.32604/cmc.2020.09701

    Abstract The Global-Regional Integrated forecast System (GRIST) is the nextgeneration weather and climate integrated model dynamic framework developed by Chinese Academy of Meteorological Sciences. In this paper, we present several changes made to the global nonhydrostatic dynamical (GND) core, which is part of the ongoing prototype of GRIST. The changes leveraging MPI and PnetCDF techniques were targeted at the parallelization and performance optimization to the original serial GND core. Meanwhile, some sophisticated data structures and interfaces were designed to adjust flexibly the size of boundary and halo domains according to the variable accuracy in parallel context. In addition, the I/O performance… More >

  • Open Access

    ARTICLE

    Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content

    Muhammad Zubair Asghar1, Fazli Subhan2, Muhammad Imran1, Fazal Masud Kundi1, Adil Khan3, Shahboddin Shamshirband4, 5, *, Amir Mosavi6, 7, 8, Peter Csiba8, Annamaria R. Varkonyi Koczy8

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1093-1118, 2020, DOI:10.32604/cmc.2020.07709

    Abstract Emotion detection from the text is a challenging problem in the text analytics. The opinion mining experts are focusing on the development of emotion detection applications as they have received considerable attention of online community including users and business organization for collecting and interpreting public emotions. However, most of the existing works on emotion detection used less efficient machine learning classifiers with limited datasets, resulting in performance degradation. To overcome this issue, this work aims at the evaluation of the performance of different machine learning classifiers on a benchmark emotion dataset. The experimental results show the performance of different machine… More >

  • Open Access

    ARTICLE

    Corrosion Performance of Stainless Steel Reinforcement in the Concrete Prepared with Seawater and Coral Waste and Its Ecological Effects

    Xingguo Feng1,2,3, Yiji Zhang1, Xiangyu Lu1,*, Yiwen Xu1, Leyuan Zhang1, Chao Zhu1, Tong Wu1, Yashi Yang4, Xuhui Zhao5

    Journal of Renewable Materials, Vol.8, No.5, pp. 513-534, 2020, DOI:10.32604/jrm.2020.09549

    Abstract Durability and ecological effects of the stainless steel reinforced coral waste concrete were compared with those of the carbon steel reinforced ordinary concrete. The results showed that the corrosion current densities of the stainless steel in the coral waste concrete were less than one-tenth of those of the carbon steel in the same grade ordinary concrete. The stainless steel in the seawater coral waste concrete maintained passivation even after more than two years of immersion in 3.5% NaCl solution, while the carbon steel counterparts in the ordinary concrete were seriously corroded under the same condition. Simultaneously, the corrosion current density… More >

  • Open Access

    ARTICLE

    The Mediating Role of Job Satisfaction in the Relationship between Disaster Relief Workers’ Perception of Survivors’ Rights and Their Performance of Human Rights Advocacy

    Yun-Jung Choi#, Eunjung Ko#,*

    International Journal of Mental Health Promotion, Vol.22, No.1, pp. 19-27, 2020, DOI:10.32604/IJMHP.2020.010883

    Abstract This study aimed to investigate the mediating effect of disaster relief workers’ job satisfaction in the relationship between their perception of survivors’ rights and their performance of human rights advocacy. Two hundred disaster relief workers in Korea were invited to complete structured questionnaires pertaining to their perception of survivors’ rights, job satisfaction, and their performance of human rights advocacy, and the relationships between these variables were analyzed using correlation and multiple regression analysis. There were significant positive correlations between disaster relief workers’ perception of survivors’ rights, job satisfaction, and performance of human rights advocacy in this study. The higher their… More >

  • Open Access

    ARTICLE

    Sunflower-Like SrCo2S4@f-MWCNTs Hybrid Wrapped by Engineering N-Reduced Graphene Oxide for High Performance Dye-Sensitized Solar Cells

    Weiming Zhang1, Muhammad Wasim Khan1, Xueqin Zuo1, Qun Yang1, Huaibao Tang1,2, Shaowei Jin1,2, Guang Li1,2,3,*

    Journal of Renewable Materials, Vol.8, No.4, pp. 431-446, 2020, DOI:10.32604/jrm.2020.09158

    Abstract A novel sunflower-like nanocomposite of SrCo2S4 nanoflakes and functionalized multiwall carbon nanotubes (f-MWCNTs) entanglement enveloped in nitrogen-reduced graphene oxide (N-RGO) is prepared by a cheap process. The unique entanglement structure of the material exhibits higher specific surface area, better electrical conductivity and other properties. This helps to reduce the transfer resistance in the photoelectric process of the battery and improve the electrochemical activity, thus increasing the photoelectric conversion efficiency of the battery. The new ternary cobalt-based sulfide material can replace platinum as the counter electrode (CE) material loaded on dye-sensitized solar cells (DSSCs). DSSCs with SrCo2S4@f-MWCNTs@N-RGO (SCS@f-M@N-R) as CE material… More >

  • Open Access

    ARTICLE

    Comparison between the Seismic Performance of Buried Pipes and Pipes in a Utility Tunnel

    Wei Liu1, 2, *, Qianxiang Wu2

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.2, pp. 661-690, 2020, DOI:10.32604/cmes.2020.07764

    Abstract A utility tunnel system consists of pipes and ancillary facilities. In this paper, a finite element model of a concrete utility tunnel with pipes inside is established. Several tunnel segments were built to simulate a real utility tunnel, while the pipe was fixed by springs on the brackets in the utility tunnel. Using the discrete soil spring element to simulate the soil-structure interaction, actual earthquake records were adopted as excitation to analyze the seismic responses of pipes in a utility tunnel. Moreover, the influences of different parameters, including soil type, earthquake records, and field apparent wave velocity on the seismic… More >

  • Open Access

    ARTICLE

    An Adaptive Power Allocation Scheme for Performance Improvement of Cooperative SWIPT NOMA Wireless Networks

    Manimekalai Thirunavukkarasu1, Romera Joan Sparjan1, *, Laxmikandan Thangavelu1

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 1043-1064, 2020, DOI:10.32604/cmc.2020.09819

    Abstract Future wireless networks demand high spectral efficiency, energy efficiency and reliability. Cooperative non-orthogonal multiple access (NOMA) with simultaneous wireless information and power transfer (SWIPT) is considered as one of the novel techniques to meet this demand. In this work, an adaptive power allocation scheme called SWIPT based adaptive power allocation (SWIPT-APA-NOMA) is proposed for a power domain NOMA network. The proposed scheme considers the receiver sensitivity of the end users while calculating the power allocation coefficients in order to prevent wastage of power allocated to user in outage and by offering priority to any one of the users to use… More >

  • Open Access

    ARTICLE

    Visualization Analysis for Business Performance of Chinese Listed Companies Based on Gephi

    Guang Sun1, Hongzhang Lv1, *, Dianyu Wang2, Xiaoping Fan1, 3, Yi Zuo1, Yanfei Xiao4, Xu Liu1, Wenqian Xiang1, Ziyi Guo1

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 959-977, 2020, DOI:10.32604/cmc.2020.08619

    Abstract When conducting company performance evaluations, the traditional method cannot reflect the distribution characteristics of the company’s operating conditions in the entire securities market. Gephi is an efficient tool for data analysis and visualization in the era of big data. It can convert the evaluation results of all listed companies into nodes and edges, and directly display them in the form of graphs, thus making up for the defects of traditional methods. This paper will take all the listed companies in the Shanghai and Shenzhen Stock Exchange as the analysis object. First uses tushare and web crawlers to collect the financial… More >

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