Molly Clarke^1,*, Karin Hamann², Nancy Klein², Laura Olivieri³, Yue-Hin Loke²

Congenital Heart Disease, Vol.19, No.1, pp. 5-17, 2024, DOI:10.32604/chd.2024.046328

Abstract Background: Patients with congenital heart disease (CHD) will transition to lifelong adult congenital cardiac care. However, their structural heart disease is challenging to convey via two-dimensional drawings. This study utilized a tele-educational environment, with personalized three-dimensional (3D) modeling and health Details (3D + Details = “4D”), to improve actual and perceived knowledge, both important components of transition readiness in CHD patients. Methods: Participants aged ≥13 years with a history of CHD and cardiac magnetic resonance imaging (MRI) studies were eligible. Cardiac MRI datasets were then used to segment and create 3D heart models (using Mimics, Materialize Inc.). Participants first completed… More >

Tao Xu^1,*, Fangqiang Zuo¹, Kai Zheng^2,*

International Journal of Mental Health Promotion, Vol.26, No.2, pp. 93-103, 2024, DOI:10.32604/ijmhp.2023.043226

Abstract Background: This study aimed to investigate the relationship between parental educational expectations and adolescent mental health problems, with academic pressure as a moderating variable. Methods: This study was based on the baseline data of the China Education Panel Survey, which was collected within one school year during 2013–2014. It included 19,958 samples from seventh and ninth graders, who ranged from 11 to 18 years old. After removing missing values and conducting relevant data processing, the effective sample size for analysis was 16344. The OLS (Ordinary Least Squares) multiple linear regression analysis was used to examine the relationship between parental educational… More >

Ronglei Hu¹, Chuce He¹, Yaping Chi², Xiaoyi Duan¹, Xiaohong Fan¹, Ping Xu¹, Wenbin Gao^1,*

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3387-3422, 2023, DOI:10.32604/cmc.2023.042000

Abstract In the education archive sharing system, when performing homomorphic ciphertext retrieval on the storage server, there are problems such as low security of shared data, confusing parameter management, and weak access control. This paper proposes an Education Archives Sharing and Access Control (EduASAC) system to solve these problems. The system research goal is to realize the sharing of security parameters, the execution of access control, and the recording of system behaviors based on the blockchain network, ensuring the legitimacy of shared membership and the security of education archives. At the same time, the system can be combined with most homomorphic… More >

Fei Xue^*

Journal on Artificial Intelligence, Vol.5, pp. 131-143, 2023, DOI:10.32604/jai.2023.046293

Abstract Vocational education can effectively improve the vocational skills of employees, improve people’s traditional concept of vocational education, and focus on the training of vocational skills for students by using new educational methods and concepts, so that they can master key vocational skills and develop key abilities. In this paper, three different learning models, Deep Knowledge Tracing (DKT), Dynamic Key-Value Memory Networks (DKVMN) and Double Deep Q-network (DDQN), are used to evaluate the indicators in the vocational education system. On the one hand, the influence of learning degree on the performance of the model is compared, on the other hand, the… More >

Xinzheng Wang^1,2,*, Bing Guo¹, Yan Shen³

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1183-1206, 2024, DOI:10.32604/cmes.2023.029552

Abstract Predicting students’ academic achievements is an essential issue in education, which can benefit many stakeholders, for instance, students, teachers, managers, etc. Compared with online courses such as MOOCs, students’ academic-related data in the face-to-face physical teaching environment is usually sparsity, and the sample size is relatively small. It makes building models to predict students’ performance accurately in such an environment even more challenging. This paper proposes a Two-Way Neural Network (TWNN) model based on the bidirectional recurrent neural network and graph neural network to predict students’ next semester’s course performance using only their previous course achievements. Extensive experiments on a… More > Graphic Abstract

Kerstin Faravel^1,*, Marie-Eve Huteau¹, Marta Jarlier², Laetitia Meignant³, Pierre Senesse¹, William Jacot⁴, Anne Stoebner¹

Psycho-Oncologie, Vol.17, No.3, pp. 123-131, 2023, DOI:10.32604/po.2023.044806

Abstract Environ la moitié des patientes traitées par hormonothérapie (HT) après un cancer du sein souffrent de douleurs ostéo-articulaires, ce qui augmente les interruptions de traitement et les risques de récidives. Notre objectif était de montrer la faisabilité et l’adhésion des patientes à un programme de kinésithérapie-yoga basé sur l’apprentissage d’une pratique quotidienne de yoga et d’évaluer l’évolution de la douleur, la souplesse et la satisfaction. La faisabilité était évaluée par l’assiduité à au moins 4/6 séances encadrées et 70% de la pratique autonome. L’intervention se déroulait sur deux périodes (P) de 6 semaines : P1 comprenant une séance hebdomadaire de… More >

Andy Man Yeung Tai^1,*, Janet Suen², Mostafa Mamdouh Kamel², Georg Schomerus³, Angelo Giovanni Icro Maremmaniz⁴, Reinhard Michael Krausz¹

International Journal of Mental Health Promotion, Vol.25, No.9, pp. 985-993, 2023, DOI:10.32604/ijmhp.2023.030087

Abstract Objectives: In 2019, the Insititue for Health Metrics and Evaluation reported that 16% of life lost were attributed to mental health. As a result, global shortage of psychiatrists is a pressing issue due to the increasing burden of mental illness. In 2016, a mere 5% of US medical students chose psychiatry as a career, a trend mirrored in Germany and Italy. As the medical students of 2016 have graduated or transitioned into residency in 2023, their attitudes towards psychiatry could have contributed to today’s shortage of psychiatrists. The global mental health burden has only been exacerbated by the COVID-19 pandemic.… More >

Hao Yao¹, Shuzhen Chen^2,*

International Journal of Mental Health Promotion, Vol.25, No.9, pp. 1053-1065, 2023, DOI:10.32604/ijmhp.2023.028844

Abstract In the context of the COVID-19 pandemic and under the pressure of high competitiveness for higher education in China, junior high school students’ mental health is facing greater challenges. Understanding the time allocation of study and sleep is necessary for developing effective prevention and treatment programs. Based on a survey of 31,057 junior high school students in 47 junior high schools in Gansu Province, mainland China, the study analyzed the associations of time spent on study and sleep with anxiety and depressive symptoms among junior high school students through chi-square test, ANOVA, logistic regression model and threshold regression model. It… More >

Mohammed Al Jaffal^*

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 881-890, 2023, DOI:10.32604/ijmhp.2023.028982

Abstract Many individuals with autism spectrum disorder (ASD) experience delays in the development of social and communications skills, which can limit their opportunities in higher education and employment resulting in an overall negative impact to their quality of life. This systematic review identifies 15 studies that explored the effectiveness of Video-Based Interventions (VBIs) for those with ASD during the critical years of adolescence and young adulthood. The 15 studies described herein found this to be an effective intervention for this population for the improvement of their vocational, daily living, and academic skills. In addition, VBIs allow for the maintenance and generalization… More >

Jing Geng^1,*, Huali Yang², Shengze Hu³

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1311-1324, 2023, DOI:10.32604/iasc.2023.038481

Abstract Educational data mining based on student cognitive diagnosis analysis can provide an important decision basis for personalized learning tutoring of students, which has attracted extensive attention from scholars at home and abroad and has made a series of important research progress. To this end, we propose a noise-filtering enhanced deep cognitive diagnosis method to improve the fitting ability of traditional models and obtain students’ skill mastery status by mining the interaction between students and problems nonlinearly through neural networks. First, modeling complex interactions between students and problems with multidimensional features based on cognitive processing theory can enhance the interpretability of… More >