Athanasios Koutsoukis¹, Xavier Halna du Fretay², Patrick Dupouy³, Phalla Ou⁴, Jean-Pierre Laissy⁴, Jean-Michel Juliard⁵, Fabien Hyafil⁶, Pierre Aubry⁵

Congenital Heart Disease, Vol.12, No.6, pp. 726-732, 2017, DOI:10.1111/chd.12504

Abstract Objective: The diagnosis of anomalous connections of the coronary arteries (ANOCOR) requires an appropriate identification for the management of the patients involved. We studied the observer variability in the description and classification of ANOCOR between a nonexpert group of physicians and a group of expert physicians, using the ANOCOR cohort.
Patients and design: Consecutive patients identified by 71 referring cardiologists were included in the ANOCOR cohort. Anomalous connection was diagnosed by invasive and/or computed tomography coronary angiography. Angiographic images were reviewed by an angiographic committee with experience in this field. Both investigators and angiographic committee filled out a questionnaire to… More >

Hitesh Agrawal^1,2, Oriana K. Wright³, Kathleen E. Carberry^1,4, S. Kristen Sexson Tejtel^1,2, Carlos M. Mery^1,5, Silvana Molossi^1,2

Congenital Heart Disease, Vol.12, No.6, pp. 721-725, 2017, DOI: 10.1111/chd.12473

Abstract Background: Long-term outcome data on patients with anomalous aortic origin of coronary arteries (AAOCA) is sparse and they are often managed in a nonuniform manner. There is subjective perception of anxiety and unmet needs in these patients and families.
Methods: An online survey of 13 questions was sent to 74 families of patients with AAOCA between May and October 2015. Descriptive statistics were performed.
Results: A total of 31 (47%) families responded. Of these, 27 expressed the need to interact with other patients/families with AAOCA. The majority were interested in either face-to-face meetings (77%) or online support groups (71%). Regarding… More >

Varun Aggarwal, Venkatachalam Mulukutla, Athar M. Qureshi, Henri Justino

Congenital Heart Disease, Vol.13, No.5, pp. 782-787, 2018, DOI:10.1111/chd.12653

Abstract Background: Congenital coronary artery fistula is a rare coronary anomaly. Most commonly, such fistulae drain into the right side of the heart or the pulmonary artery. Children with coronary artery fistulae are generally asymptomatic, although they may have left ventricular enlargement in the setting of a moderate sized left to right shunt. Symptoms of congestive heart failure or ischemia are very rare in neonatal period, and suggest the presence of a very large shunt and/or coronary steal.
Methods: Single center retrospective review of transcatheter intervention on coro‐ nary artery fistulae presenting with symptoms in the neonatal period from January 2000… More >

Philip Wackel^1,2, Bryan Cannon^1,2, Joseph Dearani³, Kristen Sessions^1,2, Kimberly Holst³, Jonathan Johnson^1,2, Frank Cetta^1,2

Congenital Heart Disease, Vol.13, No.1, pp. 26-30, 2018, DOI:10.1111/chd.12566

Abstract Background: The increased incidence of preoperative and postoperative arrhythmia in Ebstein anomaly (EA) prompted some clinicians to perform an electrophysiology study (EPS) in all patients prior to surgery for EA. The cone repair (CR) is the current surgical option of choice for most young patients with EA but the effect of the CR on arrhythmia is not well established.
Objectives: To assess the burden of arrhythmia in young patients after CR and to assess the utility of selective preoperative EPS.
Materials and Methods: A retrospective review of all patients <21 years of age with EA who had a CR at… More >

Nicholas Y. Tan¹, Christine H. Attenhofer Jost¹, Murray D. Polkinghorne¹, Emily R. Vargas², David O. Hodge², Joseph A. Dearani³, Samuel J. Asirvatham^1,4, Heidi M. Connolly¹, Christopher J. McLeod¹

Congenital Heart Disease, Vol.14, No.6, pp. 1157-1165, 2019, DOI:10.1111/chd.12841

Abstract Introduction: Mechanisms and risk factors for cerebrovascular accidents (CVAs) in Ebstein’s anomaly (EA) are not well understood; hence, we aimed to clarify these in a large cohort of EA patients.
Methods: Patients with a confirmed diagnosis of EA were retrospectively reviewed. Baseline characteristics were compared between patients with and without a prior history of CVA using logistic regression modeling. Cox regression analysis was used to identify predictors of CVA following initial evaluation. CVA incidence from birth and following tricuspid valve surgery were estimated using the Kaplan‐Meier method.
Results: Nine hundred sixty‐eight patients (median age 21.1 years, 41.5% male) were included,… More >

Ming Wan¹, Jinfang Li¹, Jiangyuan Yao^{2, *}, Rongbing Wang^{1, 3}, Hao Luo¹

CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1415-1431, 2020, DOI:10.32604/cmc.2020.09692

Abstract In process industries, the characteristics of industrial activities focus on the integrality and continuity of production process, which can contribute to excavating the appropriate features for industrial anomaly detection. From this perspective, this paper proposes a novel state-based control feature extraction approach, which regards the finite control operations as different states. Furthermore, the procedure of state transition can adequately express the change of successive control operations, and the statistical information between different states can be used to calculate the feature values. Additionally, OCSVM (One Class Support Vector Machine) and BPNN (BP Neural Network), which are optimized by PSO (Particle Swarm… More >

Lianne M. Geerdink^1,2, Gideon J. du Marchie Sarvaas³, Irene M. Kuipers⁴, Willem A. Helbing⁵, Tammo Delhaas⁶, Henriette ter Heide⁷, Lieke Rozendaal⁸, Chris L. de Korte⁹, Sandeep K. Singh¹⁰, Tjark Ebels¹¹, Mark G. Hazekamp¹², Felix Haas¹³, Ad J. J. C. Bogers¹⁴, Livia Kapusta^1,15

Congenital Heart Disease, Vol.12, No.1, pp. 32-39, 2017

Abstract Objective: Surgical outcomes of pediatric patients with Ebstein’s anomaly are often described as part of all-age-inclusive series. Our objective is to focus on patients treated surgically in childhood (0-18 y). We study the intended treatment (biventricular or 1.5 ventricle repair or univentricular palliation), freedom from unplanned reoperation and survival of this specific age group, in a nationwide study.
Design: Records of all Ebstein’s anomaly patients born between 1980 and 2013 were reviewed. Demographic variables, intraoperative procedures and postoperative outcomes were analyzed.
Results: Sixty-three patients underwent 109 operations. Median follow-up after diagnosis was 121 months (range 0-216 months). Twenty-nine (46%) patients… More >

Haiwen Chen¹, Guang Yu¹, Fang Liu², Zhiping Cai^{1, *}, Anfeng Liu³, Shuhui Chen¹, Hongbin Huang¹, Chak Fong Cheang⁴

CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 917-927, 2020, DOI:10.32604/cmc.2020.05981

Abstract For many Internet companies, a huge amount of KPIs (e.g., server CPU usage, network usage, business monitoring data) will be generated every day. How to closely monitor various KPIs, and then quickly and accurately detect anomalies in such huge data for troubleshooting and recovering business is a great challenge, especially for unlabeled data. The generated KPIs can be detected by supervised learning with labeled data, but the current problem is that most KPIs are unlabeled. That is a time-consuming and laborious work to label anomaly for company engineers. Build an unsupervised model to detect unlabeled data is an urgent need… More >

Chaochao Luo¹, Shen Su^{2, *}, Yanbin Sun², Qingji Tan³, Meng Han⁴, Zhihong Tian^{2, *}

CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 399-411, 2020, DOI:10.32604/cmc.2020.06507

Abstract Since the web service is essential in daily lives, cyber security becomes more and more important in this digital world. Malicious Uniform Resource Locator (URL) is a common and serious threat to cybersecurity. It hosts unsolicited content and lure unsuspecting users to become victim of scams, such as theft of private information, monetary loss, and malware installation. Thus, it is imperative to detect such threats. However, traditional approaches for malicious URLs detection that based on the blacklists are easy to be bypassed and lack the ability to detect newly generated malicious URLs. In this paper, we propose a novel malicious… More >

Sasan Saqaeeyan¹, Hamid Haj Seyyed Javadi^1,2,*, Hossein Amirkhani^1,3

CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 815-834, 2019, DOI:10.32604/cmes.2019.07848

Abstract Anomaly detection in smart homes provides support to enhance the health and safety of people who live alone. Compared to the previous studies done on this topic, less attention has been given to hybrid methods. This paper presents a two-steps hybrid probabilistic anomaly detection model in the smart home. First, it employs various algorithms with different characteristics to detect anomalies from sensory data. Then, it aggregates their results using a Bayesian network. In this Bayesian network, abnormal events are detected through calculating the probability of abnormality given anomaly detection results of base methods. Experimental evaluation of a real dataset indicates… More >