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  • Open Access

    ARTICLE

    Validity, Reliability, and Measurement Invariance of the Thai Smartphone Application-Based Addiction Scale and Bergen Social Media Addiction Scale

    Kamolthip Ruckwongpatr1,#, Chirawat Paratthakonkun2,#, Usanut Sangtongdee3,4,*, Iqbal Pramukti5, Ira Nurmala6, Kanokwan Angkasith7, Weena Thanachaisakul7, Jatuphum Ketchatturat8, Mark D. Griffiths9, Yi-Kai Kao10,*, Chung-Ying Lin1,5,11,12

    International Journal of Mental Health Promotion, Vol.26, No.4, pp. 293-302, 2024, DOI:10.32604/ijmhp.2024.047023

    Abstract Background: In recent years, there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs. However, there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand. The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale (SABAS) and Bergen Social Media Addiction Scale (BSMAS). Method: A total of 801 Thai university students participated in an online survey from January 2022 to More >

  • Open Access

    ARTICLE

    A Study on the Role of Tourism in Enhancing Personal Mental Health in the Post-Epidemic Era

    Ruiqin Tian*, Yue Feng, Lingqi Zhan

    International Journal of Mental Health Promotion, Vol.26, No.4, pp. 325-334, 2024, DOI:10.32604/ijmhp.2023.042827

    Abstract With the advent of the post-epidemic era, a great wave of tourism has been ushered in everywhere. The relationship between tourism and mental health has become a hot topic in society. This paper investigates the enhancement of people’s mental health after tourism through social survey. Using Hangzhou as the sample collection site, this paper conducted a study on the role of tourism in enhancing personal mental health through descriptive analysis, factor analysis and structural equation modeling, and further specifically analyzed the role of mediating variables. The results showed that: (1) The purpose of tourism is… More >

  • Open Access

    ARTICLE

    Study on Two-Tier EV Charging Station Recommendation Strategy under Multi-Factor Influence

    Miao Liu, Lei Feng, Yexun Yuan, Ye Liu, Peng Geng*

    Journal on Artificial Intelligence, Vol.5, pp. 181-193, 2023, DOI:10.32604/jai.2023.046066

    Abstract This article aims to address the clustering effect caused by unorganized charging of electric vehicles by adopting a two-tier recommendation method. The electric vehicles (EVs) are classified into high-level alerts and general alerts based on their state of charge (SOC). EVs with high-level alerts have the most urgent charging needs, so the distance to charging stations is set as the highest priority for recommendations. For users with general alerts, a comprehensive EV charging station recommendation model is proposed, taking into account factors such as charging price, charging time, charging station preference, and distance to the More >

  • Open Access

    ARTICLE

    A Bifactor Analysis Approach to Construct Validity and Reliability of the Affective Exercise Experience Questionnaire among Chinese College Students

    Ting Wang1, Markus Gerber2, Fabian Herold3, Joseph Bardeen4, Sebastian Ludyga2, Alyx Taylor5, Arthur F. Kramer6,7, Liye Zou1,*

    International Journal of Mental Health Promotion, Vol.25, No.9, pp. 995-1008, 2023, DOI:10.32604/ijmhp.2023.029804

    Abstract Affective exercise experience as an emerging theoretical concept has great potential to provide a more nuanced understanding of individual factors that influence exercise behavior. However, concerning the Affective Exercise Experiences (AFFEXX) questionnaire, it has not been examined yet whether the structural score of the AFFEXX is a useful index to predict physical activity (refers to any bodily movement produced by skeletal muscles that requires energy expenditure). Furthermore, there is currently a gap in knowledge regarding the psychological mechanisms that can explain the relationship between affective exercise experiences and the level of physical activity (PA). In… More >

  • Open Access

    ARTICLE

    Long-Term Outcome and Risk Factor Analysis of Surgical Pulmonary Valve Replacement in Congenital Heart Disease

    Woo Young Park1, Gi Beom Kim1,*, Sang Yun Lee1, Mi Kyoung Song1, Hye Won Kwon1, Hyo Soon An1, Eun Jung Bae1, Sungkyu Cho2, Jae Gun Kwak2, Woong-Han Kim2

    Congenital Heart Disease, Vol.17, No.3, pp. 335-350, 2022, DOI:10.32604/chd.2022.018666

    Abstract Objectives: To establish long-term outcome of surgical pulmonary valve replacement (PVR) in congenital heart disease (CHD) and to identify risk factors for overall mortality, operative mortality, and repetitive PVR. Methods: This is a retrospective study of 375 surgical PVR in 293 patients who underwent surgical PVR for CHD between January 2000 and May 2020. We only included patients with index PVR with previous open-heart surgery regardless of the number of PVRs. The previous surgical history of patients who underwent PVR during the study period was also included. Patients who underwent the Rastelli operation, and those who… More >

  • Open Access

    ARTICLE

    Analyzing the Urban Hierarchical Structure Based on Multiple Indicators of Economy and Industry: An Econometric Study in China

    Jing Cheng1, Yang Xie2, Jie Zhang1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1831-1855, 2022, DOI:10.32604/cmes.2022.020178

    Abstract For a city, analyzing its advantages, disadvantages and the level of economic development in a country is important, especially for the cities in China developing at flying speed. The corresponding literatures for the cities in China have not considered the indicators of economy and industry in detail. In this paper, based on multiple indicators of economy and industry, the urban hierarchical structure of 285 cities above the prefecture level in China is investigated. The indicators from the economy, industry, infrastructure, medical care, population, education, culture, and employment levels are selected to establish a new indicator… More >

  • Open Access

    ARTICLE

    Fluidity Influencing Factor Analysis and Ratio Optimization of New Filling Slurry Based on the Response Surface Method

    Guanfeng Chang, Xinzhu Hua*, Xiao Liu, Chen Li, Enqian Wang, Bingjun Sun

    Journal of Renewable Materials, Vol.10, No.5, pp. 1439-1458, 2022, DOI:10.32604/jrm.2022.018607

    Abstract The filling mining method is important in realizing the green mining of mineral resources. Aiming at the problems of land resource occupation, environmental pollution, and rational utilization of coal-based solid wastes such as coal gangue, fly ash, and desulfurization gypsum, a new paste filling material was developed with coal gangue, fly ash, and desulfurization gypsum as raw materials. The microstructure of the raw materials was analyzed by XRD and SEM. Combined with the Box-Behnken experimental design, the effect of each component on the fluidity of the filling slurry was analyzed through the response surface analysis.… More > Graphic Abstract

    Fluidity Influencing Factor Analysis and Ratio Optimization of New Filling Slurry Based on the Response Surface Method

  • Open Access

    ARTICLE

    Using Sieve of Eratosthenes for the Factor Analysis of Neutrosophic Form of the Five Facet Mindfulness Questionnaire as an Alternative Confirmatory Factor Analysis

    Volkan Duran1, Selçuk Topal2,*, Florentin Smarandache3, Said Broumi4

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 953-971, 2021, DOI:10.32604/cmes.2021.016696

    Abstract In this study, the Five Facet Mindfulness Questionnaire which was adapted from the short form of the Five Facet Mindfulness Questionnaire was evaluated and this scale into neutrosophic form was converted and the results of the scale were compared for proposing new type confirmatory analysis procedure as well as developing neutrosophic scales. The exploratory factor analysis was used in the analysis of the data. Besides, test results were analyzed for Kaiser–Meyer–Olkin and Bartlett values, common factor variance values, scree plot graphs, and the principal component analysis results. The sample of the study consists of 194… More >

  • Open Access

    ARTICLE

    Performance Estimation of Machine Learning Algorithms in the Factor Analysis of COVID-19 Dataset

    Ashutosh Kumar Dubey1,*, Sushil Narang1, Abhishek Kumar1, Satya Murthy Sasubilli2, Vicente García-Díaz3

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1921-1936, 2021, DOI:10.32604/cmc.2020.012151

    Abstract Novel Coronavirus Disease (COVID-19) is a communicable disease that originated during December 2019, when China officially informed the World Health Organization (WHO) regarding the constellation of cases of the disease in the city of Wuhan. Subsequently, the disease started spreading to the rest of the world. Until this point in time, no specific vaccine or medicine is available for the prevention and cure of the disease. Several research works are being carried out in the fields of medicinal and pharmaceutical sciences aided by data analytics and machine learning in the direction of treatment and early… More >

  • Open Access

    ARTICLE

    Risk Factor Analysis for Shunt Failure after Systemic Pulmonary Shunt

    Han Zhang, Gang Li, Xiangming Fan, Junwu Su*

    Congenital Heart Disease, Vol.15, No.5, pp. 361-367, 2020, DOI:10.32604/CHD.2020.013020

    Abstract Background: To identify factors associated with shunt failure in patients with a systemic pulmonary shunt (SPS). Methods: We retrospectively assessed 451 patients who received SPS. Perioperative parameters such as hemoglobin, Nakata Index, and shunt size were assessed, and factors influencing shunt failure after an initial palliative shunt operation were analyzed. Results: We analyzed 451 patients who underwent isolated SPS surgery at Anzhen Hospital. Of these, shunt failure occurred in 48 (10.6%) cases after a median of 6.5 days. The 30-day mortality rate was 2.1%. Univariate and logistic regression analysis revealed that a Nakata Index ≤ 105 and More >

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