Lianne M. Geerdink^1,2,*, Malindi van der Mheen^3,4, Gideon J. du Marchie Sarvaas⁵, Irene M. Kuipers⁶, Stefan Frerich⁷, Henriëtte ter Heide², Willem A. Helbing⁸, Zina Feijzic¹, Christian Schroer⁹, Chris L. de Korte¹⁰, Livia Kapusta^1,11, Chris M. Verhaak¹², Elisabeth M. W. J. Utens^3,4

Congenital Heart Disease, Vol.15, No.6, pp. 457-472, 2020, DOI:10.32604/CHD.2020.012994

Abstract Background: Due to the improved survival rates of children and adolescents with congenital heart disease (CHD), more attention is now being directed towards their health-related quality of life (HRQoL), emotional and behavioral problems. Ebstein anomaly (EA) is a rare CHD with a broad clinical spectrum. The aim of the current study is to evaluate self- and proxy-reported HRQoL and emotional and behavioral problems in children and adolescents with EA. Methods: In this cross-sectional, multicenter study, we included EA patients (aged 8–17 years), who underwent routine clinical assessments in Dutch university hospitals between May 2017 and March 2019. The Generic Pediatric… More >

Adel Assiri^*

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 767-778, 2021, DOI:10.32604/cmc.2020.013813

Abstract Anomaly classification based on network traffic features is an important task to monitor and detect network intrusion attacks. Network-based intrusion detection systems (NIDSs) using machine learning (ML) methods are effective tools for protecting network infrastructures and services from unpredictable and unseen attacks. Among several ML methods, random forest (RF) is a robust method that can be used in ML-based network intrusion detection solutions. However, the minimum number of instances for each split and the number of trees in the forest are two key parameters of RF that can affect classification accuracy. Therefore, optimal parameter selection is a real problem in… More >

Jiachen Li, Xianchao Jiang, Sim-eng Zhang, Jinyang Liu, Yajuan Zhang, Jun Yan, Shoujun Li, Qiang Wang^*

Congenital Heart Disease, Vol.15, No.5, pp. 387-397, 2020, DOI:10.32604/CHD.2020.013127

Abstract Background: Ebstein’s anomaly (EA) is a malformation of the tricuspid valve (TV) and myopathy of the right ventricle (RV). Surgery is now the main treatment for the defect. Objective: To summarize our surgical results and experience based on patients with EA who were under 7 years of age and treated with different surgical treatments. Design: Single-center cohort study of Ebstein’s anomaly. Setting: China. Participants: 80 patients under 7 years old who were diagnosed of EA and underwent different surgical treatments were consecutively enrolled in our research from January 2010 to December 2019. Results: The median age of the 80 patients… More >

Francisco Javier Ruperti-Repilado^1,#,*, Magalie Ladouceur^2,#, Pastora Gallego³, Laura Dos⁴, Joaquin Rueda Soriano⁵, Berto Bouma⁶, Harald Gabriel⁷, Markus Schwerzmann¹, Judith Bouchardy^8,9, Daniel Tobler^10,#, Matthias Greutmann^11,#

Congenital Heart Disease, Vol.15, No.5, pp. 309-338, 2020, DOI:10.32604/CHD.2020.012599

Abstract Background: Long-term outcomes in adults with prior arterial switch operation (ASO) have not yet been well defined. The aim of this study is to elucidate incidence and predictors of adverse cardiac outcomes in a prospectively followed cohort of adults after their ASO. Methods: The comprehensive longterm follow up of adults with ASO is a project within the European collaboration for prospective outcome research in congenital heart disease (EPOCH). It is designed as a prospective, international multicenter cohort study. Consecutive patients (age ≥ 16 years) with prior ASO will be included at 11 European tertiary care centers. Participants will be followed… More >

Jianfeng Guan^*, Jiawei Li, Zhongbai Jiang

Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 131-141, 2019, DOI:10.31209/2018.100000050

Abstract The traditional web anomaly detection systems face the challenges derived from the constantly evolving of the web malicious attacks, which therefore result in high false positive rate, poor adaptability, easy over-fitting, and high time complexity. Due to these limitations, we need a new anomaly detection system to satisfy the requirements of enterprise-level anomaly detection. There are lots of anomaly detection systems designed for different application domains. However, as for web anomaly detection, it has to describe the network accessing behaviours characters from as many dimensions as possible to improve the performance. In this paper we design and implement a Multidimensional… More >

Tânia Branco Mano^1,*, João Ferreira Reis¹, Ana Figueiredo Agapito¹, André Monteiro¹, Mário Oliveira¹, Luísa Moura Branco¹, José Fragata², Fátima Pinto³, Rui Cruz Ferreira¹, Lídia de Sousa¹

Congenital Heart Disease, Vol.15, No.3, pp. 153-162, 2020, DOI:10.32604/CHD.2020.011500

Abstract Introduction: Due to the low prevalence and wide variation of severity of Ebstein’s Anomaly (EA), long-term follow-up data are scarce. The aim was to evaluate the long-term outcome of an adult population with EA. Methods: Retrospective analysis of EA adults followed in the past 42 years in a tertiary congenital heart disease outpatient clinic. Predictors of complications and mortality were assessed. Results: We studied 53 patients: 53% females, mean age 46 ± 19 years, 36% cyanotic, 55% diagnosed at adult age. Tricuspid regurgitation was moderate or severe in 33% and 46%, respectively, and during follow-up (mean 12 ± 10… More >

Fang Wang^{1, *}, Zhe Wei¹, Xu Zuo²

CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1063-1073, 2020, DOI:10.32604/cmc.2020.09774

Abstract The heterogeneous nodes in the Internet of Things (IoT) are relatively weak in the computing power and storage capacity. Therefore, traditional algorithms of network security are not suitable for the IoT. Once these nodes alternate between normal behavior and anomaly behavior, it is difficult to identify and isolate them by the network system in a short time, thus the data transmission accuracy and the integrity of the network function will be affected negatively. Based on the characteristics of IoT, a lightweight local outlier factor detection method is used for node detection. In order to further determine whether the nodes are… More >

Muhammad Hasnain¹, Seung Ryul Jeong^{2, *}, Muhammad Fermi Pasha³, Imran Ghani⁴

CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 729-752, 2020, DOI:10.32604/cmc.2020.010394

Abstract Performance anomaly detection is the process of identifying occurrences that do not conform to expected behavior or correlate with other incidents or events in time series data. Anomaly detection has been applied to areas such as fraud detection, intrusion detection systems, and network systems. In this paper, we propose an anomaly detection framework that uses dynamic features of quality of service that are collected in a simulated setup. Three variants of recurrent neural networks-SimpleRNN, long short term memory, and gated recurrent unit are evaluated. The results reveal that the proposed method effectively detects anomalies in web services with high accuracy.… More >

Richard D. Mainwaring, Frank L. Hanley

Congenital Heart Disease, Vol.14, No.4, pp. 504-510, 2019, DOI:10.1111/chd.12826

Abstract Objective: Anomalous left main coronary artery (LMCA) with an intraconal course is a relatively rare form of anomalous aortic origin of a coronary artery (AAOCA) from the wrong sinus of Valsalva. There is currently a paucity of information regarding this entity. The purpose of this article is to review our surgical experience with repair of anomalous LMCA with an intraconal course.
Methods: This was a retrospective review of 12 patients with an anomalous LMCA and an intraconal course who underwent surgical repair. The median age at surgery was 15 years (range 2‐47). The seven oldest patients all had preoperative symptoms… More >

Varisara Pornprasertchai, Chodchanok Vijarnsorn, Supaluck Kanjanauthai, Paweena Chungsomprasong, Prakul Chanthong, Kritvikrom Durongpisitkul, Jarupim Soongswang

Congenital Heart Disease, Vol.14, No.4, pp. 619-627, 2019, DOI:10.1111/chd.12759

Abstract Background: The increasing number of patients with Ebstein anomaly (EA) surviving into adulthood implies improvements in the treatments for the complex lesion. We revisited the clinical outcomes of patients with EA to demonstrate their “real world” survival.
Objectives: To identify the survival and predictors of mortality in patients with EA who underwent medical or surgical management in the present era.
Methods: All patients who had EA with atrioventricular concordance between 1994 and 2016 were retrospectively reviewed. Baseline characteristics, initial echocardio‐ graphic findings, treatments, and outcomes were explored. The survival analysis was performed at the end of 2017. A multivariate analysis… More >