Cong Wang¹, Mingming Zhao², Qinyue Wang^{2, 3}, Min Li^{2, *}

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2309-2319, 2020, DOI:10.32604/cmc.2020.09958

Abstract This paper introduces a novel mechanism to improve the performance of peer assessment for collaborative learning. Firstly, a small set of assignments which have being pre-scored by the teacher impartially, are introduced as “sentinels”. The reliability of a reviewer can be estimated by the deviation between the sentinels’ scores judged by the reviewers and the impartial scores. Through filtering the inferior reviewers by the reliability, each score can then be subjected into mean value correction and standard deviation correction processes sequentially. Then the optimized mutual score which mitigated the influence of the subjective differences of the reviewers are obtained. We… More >

Karim Hammoudi^1,2,*, Adnane Cabani³, Halim Benhabiles⁴, Mahmoud Melkemi^1,2

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1049-1059, 2020, DOI:10.32604/cmes.2020.011663

Abstract In a context of a virus that is transmissive by sputtering, wearing masks appear necessary to protect the wearer and to limit the propagation of the disease. Currently, we are facing the 2019–2020 coronavirus pandemic. Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. The symptom of COVID-19 was reported first in China and very quickly spreads to the rest of the world. The COVID-19 contagiousness is known to be high by comparison with the flu. In this paper, we propose a design of a mobile application for permitting everyone having a smartphone and… More >

Akram M. Radwan^a,b, Zehra Cataltepe^a,c

Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 777-783, 2018, DOI:10.1080/10798587.2017.1337673

Abstract This paper proposes to apply machine learning techniques to predict students’ performance on two real-world educational data-sets. The first data-set is used to predict the response of students with autism while they learn a specific task, whereas the second one is used to predict students’ failure at a secondary school. The two data-sets suffer from two major problems that can negatively impact the ability of classification models to predict the correct label; class imbalance and class noise. A series of experiments have been carried out to improve the quality of training data, and hence improve prediction results. In this paper,… More >

Nicolas Kluger^1,2, Philippe Charlier^3,4, Antonio Perciaccante^3,5,*

Congenital Heart Disease, Vol.15, No.3, pp. 163-165, 2020, DOI:10.32604/CHD.2020.012394

Abstract Introduction: Visual narratives such as manga, comics and cartoons can play an important role in educating readers on various aspects of life including medicine and disabilities. Methods: We reviewed the animated series entitled “Captain Tsubasa”, focusing our analysis on the episodes which introduced the character Jun Misugi, a football player suffering from an unspecified congenital heart disease (CHD). Discussion: For a child with a CHD, the practice of sports could be risky but also an opportunity to improve heart function and reach personal fulfillment. CHD have an important impact on children’s quality of life, and sports participation has beneficial effects… More >

Trahern W. Jones, Michael D. Seckeler

Congenital Heart Disease, Vol.12, No.5, pp. 578-582, 2017, DOI:10.1111/chd.12486

Abstract Objective: Three-dimensional (3D) printing is a manufacturing method by which an object is created in an additive process, and can be used with medical imaging data to generate accurate physical reproductions of organs and tissues for a variety of applications. We hypothesized that using 3D printed models of congenital cardiovascular lesions to supplement an educational lecture would improve learners’ scores on a board-style examination.
Design and Intervention: Patients with normal and abnormal aortic arches were selected and anonymized to generate 3D printed models. A cohort of pediatric and combined pediatric/emergency medicine residents were then randomized to intervention and control groups.… More >

Tyler H. Harris¹, Mark Adler², Sharon M. Unti³, Mary E. McBride⁴

Congenital Heart Disease, Vol.12, No.4, pp. 546-553, 2017, DOI:10.1111/chd.12483

Abstract Background: Training guidelines state that pediatricians should be able to diagnose, manage, and triage patients with heart disease. Acutely ill cardiac patients present infrequently and with high acuity, yet residents receive less exposure to acute cardiac conditions than previous generations. Trainees must learn to manage these situations despite this gap. Simulation has been used successfully to train learners to provide acute care. We hypothesized that a simulation-based cardiac curriculum would improve residents’ ability to manage cardiac patients.
Methods: Pediatric residents completed 4 simulation cases followed by debriefing and a computer presentation reviewing the learning objectives. Subjects returned at 1 month… More >

Kalaphath Kounlaxay¹, Soo Kyun Kim^{2, *}

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 161-180, 2020, DOI:10.32604/cmc.2020.09930

Abstract To improve and develop education systems, the communication between instructors and learners in a class during the learning process is of utmost importance. Currently the presentations of 3D models using mixed reality (MR) technology can be used to avoid misinterpretations of oral and 2D model presentations. As an independent concept and MR applications, MR combines the excellent of each virtual reality (VR) and augmented reality (AR). This work aims to present the descriptions of MR systems, which include its devices, applications, and literature reviews and proposes computer vision tracking using the AR Toolkit Tracking Library. The focus of this work… More >

Ritu Sachdeva¹, Pamela S. Douglas², Michael S. Kelleman¹, Courtney E. McCracken¹, Leo Lopez³, Kenan W.D. Stern⁴, Benjamin W. Eidem⁵, Oscar J. Benavidez⁶, Rory B. Weiner⁶, Elizabeth Welch³, Robert M. Campbell¹, Wyman W. Lai⁷

Congenital Heart Disease, Vol.12, No.3, pp. 373-381, 2017, DOI:10.1111/chd.12455

Abstract Objective: The objective of this study was to evaluate effectiveness of educational intervention (EI) in the Pediatric Appropriate Use of Echocardiography (PAUSE) study to improve appropriateness of transthoracic echocardiograms (TTEs) ordered in pediatric cardiology clinics.
Design: Data were prospectively collected after the publication of the Appropriate Use Criteria (AUC) document during 2 phases: the pre-EI phase (1/1/15 to 4/30/15) and the post-EI phase (7/ 1/15 to 10/30/15). Pre-EI, site-investigators (SI) determined AUC indications, by reviewing the clinic records. Post-EI, providers assigned indications prior to obtaining TTE.
Setting: Pediatric cardiology clinics at six centers.
Patients: Those ≤18 years old, receiving initial… More >

Shae Anderson^1,2, Courtney E. McCracken², Ritu Sachdeva^1,2

Congenital Heart Disease, Vol.13, No.6, pp. 1050-1057, 2018, DOI:10.1111/chd.12679

Abstract Objective: The educational intervention (EI) through the Pediatric Appropriate Use of Echocardiography (PAUSE) multicenter study resulted in improved appropriate‐ ness of transthoracic echocardiogram (TTE) orders at our center. The current study evaluated if this pattern persisted after cessation of EI and the potential physician characteristics influencing appropriateness.
Design: Outpatients (≤18 years old) seen for initial evaluation during the EI (July to October, 2015) and 6‐month post‐EI (May to August, 2016) phases were included. Comparison was made between TTE rates and appropriateness ratings during EI and post‐EI phase. Association between TTE rate and appropriateness with physician characteristics (age, experience, patient volume,… More >

Shelby C. White¹, Jennifer Sedler², Trahern W. Jones³, Michael Seckeler¹

Congenital Heart Disease, Vol.13, No.6, pp. 1045-1049, 2018, DOI:10.1111/chd.12673

Abstract Objective: Applications of three‐dimensional (3D) printed models in medicine in‐ clude preprocedure planning, patient education, and clinical training. Reproducing complex anatomy as a 3D printed model can be useful for understanding congenital heart defects (CHD). We hypothesized that using 3D printed models during didactic sessions with resident physicians will improve trainees’ understanding of CHD.
Design and intervention: We performed a prospective, randomized educational in‐ tervention for teaching pediatric and pediatric/emergency medicine residents about simple (ventricular septal defect [VSD]) and moderately complex (tetralogy of Fallot [ToF]) CHD. Residents were divided into two groups: intervention and control. Each group completed a subjective… More >