• The Korean Journal of Health Service Management
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• v.5 no.4
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• pp.27-39
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• 2011

Many Koreans have been interested in health functional foods(HHFs). Use of health functional foods is growing rapidly. This study aims to identify the determinants of HFFs use focusing on health related factors. The subjects were 24,626 samples from Korea Health Panel in 2008. The subjects were divided into two group: under the 20 years old and 20 old and over. The logistic regression model was used to examine influence of health-related factors on use of HFFs for each group. About thirty percent of the subjects have used HFFs. The larger family size, higher education level of parents, more stable economic status and chronic diseases were positively related to use more HFFs in younger 20 years old. Higher education level, more stable economic status, chronic diseases were more likely to use HFFs in 20 years of age and over. Health related factors such as disability, chronic diseases, admission, and physician visit affect the use of HFFs in both groups. We confirmed that health related factors as well as socio-demographic and economic factors affect use of HFFs. In-depth knowledge about relationship between health related factors and HFFs is required.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.521-532
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• 2017

Purpose: The purpose of this study is to structure affective factors related to the tactile sense in order to improve tactile sensibility satisfaction of interior material. In this paper, we propose the design direction of interior material by analyzing the association between material properties and affective factors for automotive interior material. Methods: The relationship between sensibility adjectives and feelings related to tactile sensation were derived through factor analysis after touching prepared samples that were made by changing the material properties of automotive interior material. The association between affective factors and interior material properties were analyzed through ANOVA. Results: Seven kinds of visual and tactile affective factors were derived from the correlation between feeling of material and sensibility adjectives measured by 215 subjects. It is found that there is a quadratic relationship rather than a linear relationship through association analysis between affective factors and the material properties such as roughness, friction coefficient, and hardness. Conclusion: This study suggests the direction of the interior material design which can improve the sensibility satisfaction of the automobile customers by identifying the tactile factors related to the material properties of automotive interior material.

• The Journal of Pediatrics of Korean Medicine
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• v.24 no.3
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• pp.138-149
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• 2010

Objectives: The purpose of this study is to estimate genetic and environmental factors which can effect growth, and predict final height using this factors. Methods: Correlation analysis and regression analysis were conducted between measurements of height and Genetic & environmental factors through survey from 1352 child & adolescent patients. Results: Factors which have correlation with height percentile are MPH(Mid-Parental Height), NBW(Neonatal body weight), anorexia, dyspepsia, atopic dermatitis, frequency of breakfast and quality of sleeping time. MPH has moderate relation, NBW and anorexia have fair relation, and other factors have linear but poor relation. Regression equation from factors which have correlation and height percentile has 26.9% of predictive power. Regression equation considering only genetic factor has 20.4%. MPH has the most effect on height percentile. Anorexia has more effect than NBW. Other factors also have small and similar effect. Conclusions: Height of parents has the most effect on growth, anorexia, dyspepsia, atopic dermatitis, frequency of breakfast and quality of sleeping time also has effect.

• Journal of Construction Engineering and Project Management
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• v.6 no.4
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• pp.7-14
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• 2016

While the idea of the existence of a set of key factors for success in planning, designing and construction of projects is not new, it remains one of the most important issues in the field of construction management. This is due to project success factors are inputs to project management practice which can lead directly or indirectly to project success. This study identifies the success factors which can be used for improving the highway projects performance in Egypt during the project pre-construction and construction phases. Through a detailed literature review 35 success factors are identified. Furthermore, the AHP is adopted to prioritize the studied factors through the application of questionnaire survey. The study establishes that implementing an effective quality control and assurance systems, allow sufficient time for feasibility studies, design, drawing and tender preparation, effective cost control system and frequency of project budget updates, preparing adequate designs and drawings and determining sufficient time to implement the desired scope of work are the most important success factors for enhancing the highway projects performance in Egypt.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.97-107
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• 2021

Nowadays, with the constant enhancement in the health of the economy, the average income and living standard have accordingly increased, making the need for financial independence a favorable choice. This research aims to identify the factors affecting the financial independence of young people. The authors implement quantitative analysis, with a set of primary data collected from a survey of 2664 Vietnamese people aged from 18 to 28. The research results demonstrate the considerable impact of monetary, psychological, group-related, and family-related factors on the financial independence of young people. The results of the sample analysis provide adequate evidence to reject the correlative relationship between family and group factors and the financial independence of young people. In addition, there are 3 factors, including demographic factors, monetary factors, and psychological factors, all have varying degrees and directions of influence on young people's financial independence. Most of the mentioned variables reflect a positive effect on financial independence. The only exception is the education variable, illustrated by its negative standardized beta value. A significant difference in financial independence between genders also is reported, suggesting that males seem to have a higher level of financial independence than females.

• Women's Health Nursing
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• v.26 no.4
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• pp.260-273
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• 2020

Purpose: The purpose of this study was to analyze and synthesize the literature on intimate partner violence (IPV) against women in South Korea. Methods: Whittemore and Knafl's integrative review method was used. Studies in English and Korean were searched in seven electronic databases using the following combination of terms: "Korea," "females or women or girls," "intimate partner violence or domestic violence or domestic abuse." Results: Twenty-five studies were ultimately selected, all of which met the quality appraisal criteria with a grade of medium or higher, using Gough's weight of evidence. IPV was divided into marital violence and dating violence. Factors related to IPV were classified into intrapersonal, interpersonal, and social factors, and these three factors were linked together. Intrapersonal factors included general characteristics, perceptions, attitudes, psychological factors, and violent experiences. Interpersonal factors involved relationships with parents and partners. Finally, social factors and attributes were integrated into social support and influences on life. Conclusion: In order to minimize and prevent harm to women from IPV when caring for women who experienced IPV, multiple factors should be considered. Specifically, general and psychological characteristics, perceptions and attitudes toward IPV, relationships with families and partners, and available social support systems and resources should be considered. Moreover, these findings will be helpful for assessing women or providing interventions for victims of violence. Finally, more diverse IPV studies should be conducted by nurses in the future.

• Communications for Statistical Applications and Methods
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• v.28 no.4
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• pp.339-350
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• 2021

In medical research, the risk factors associated with human diseases need to be identified to predict the incidence rate and determine the treatment plan. Logistic regression analysis is primarily used in order to select risk factors. However, individuals who are unfamiliar with statistics outcomes have trouble using these methods. In this study, we develop a nomogram that graphically represents the numerical association between the disease and risk factors in order to identify the risk factors for delirium and to interpret and use the results more effectively. By using the logistic regression model, we identify risk factors related to delirium, construct a nomogram and predict incidence rates. Additionally, we verify the developed nomogram using a receiver operation characteristics (ROC) curve and calibration plot. Nursing home, stroke/epilepsy, metabolic abnormality, hemodynamic instability, and analgesics were selected as risk factors. The validation results of the nomogram, built with the factors of training set and the test set of the AUC showed a statistically significant determination of 0.893 and 0.717, respectively. As a result of drawing the calibration plot, the coefficient of determination was 0.820. By using the nomogram developed in this paper, health professionals can easily predict the incidence rate of delirium for individual patients. Based on this information, the nomogram could be used as a useful tool to establish an individual's treatment plan.

• Architectural research
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• v.24 no.1
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• pp.1-11
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• 2022

As the occurrence of a crime is dependent on different factors, their correlations are beyond the ordinary cognitive range. Owing to this limitation, systems face difficulty in correlating various factors, thereby requiring the assistance of artificial intelligence (AI) to overcome such limitations. Therefore, AI has become indispensable for crime prediction. Crimes can cause severe and irrevocable damage to a society. Recently, big data has been introduced for developing highly accurate models for crime prediction. Prediction of night crimes should be given significant consideration, because crimes primarily occur during nights, when the spatiotemporal characteristics become vulnerable to crimes. Many environmental factors that influence crime rate are applied for crime prediction, and their influence on crime rate may differ based on temporal characteristics and the nature of crime. This study aims to identify the environmental factors that influence sex and theft crimes occurring at night and proposes an artificial neural network (ANN) model to predict sex and theft crimes at night in random areas. The crime data of A district in Seoul for 12 years (2004-2015) was used, and environmental factors that influence sex and theft crimes were derived through multiple regression analysis. Two types of crime prediction models were developed: Type A using all environmental factors as input data; Type B with only the significant factors (obtained from regression analysis) as input data. The Type B model exhibited a greater accuracy than Type A, by 3.26 and 9.47 % higher for theft and sex crimes, respectively.

• Child Health Nursing Research
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• v.29 no.2
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• pp.101-110
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• 2023

Purpose: Developmental disabilities (DDs) are a global childhood problem whose prevalence is rising, with a disproportionate impact on individuals in low-and middle-income countries. However, data on the prevalence of DDs in the Arab world are limited. This review highlights what is currently known about the prevalence and risk factors of DDs in preschool children in the Arab world. Methods: PubMed, Cochrane Library, Scopus, CINAHL, Science Direct, and Google Scholar were searched for publications on DDs among preschool children in the Arab world. Only 14 studies were identified in the literature, from 12 Arab countries. Results: The overall estimated prevalence of DDs among preschool children in the Arab world is 27.5%. An analysis of risk factors for DDs showed that child-related, maternal, and family-related factors account for a significant cumulative risk of developing DDs in preschool children. Maternal factors, such as antenatal and perinatal complications, were the most common risk factors. Conclusion: The prevalence of DDs among preschoolers is significantly high in the Arab world, which emphasizes the importance of the early detection and diagnosis of DD, as well as its associated risk factors.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.6
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• pp.1038-1056
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• 2023

This study investigates the effects of ChatGPT's quality characteristics (service and information) on purchase intention and word of mouth intention. We distributed questionnaires among domestic men and women aged in their 20s and 30s who had experience of using ChatGPT. A total of 222 responses were subjected to frequency analysis, factor analysis, correlation analysis, and multiple linear regression analysis using the IBM SPSS statistical program version 26. The major findings were as follows: (1) The factors of service quality were categorized as Tangibility, Reliability, Empathy, and Assurance, while the factors of information quality were categorized as Recency, Accuracy, and Usefulness. (2) Among the service quality factors of ChatGPT, two factors (Reliability and Empathy) significantly impacted purchase intention, and three factors (Tangibility, Reliability, and Empathy) significantly affected word of mouth intention. (3) Among ChatGPT's information quality factors, two factors (Usefulness and Recency) had a significant effect on purchase intention, and two factors (Usefulness and Accuracy) exerted a significant influence on word of mouth intention. (4) Purchase intention had a significant effect on word of mouth intention.