• Journal of Preventive Medicine and Public Health
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• 제54권4호
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• pp.265-274
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• 2021

Objectives: Given the importance of social determinants of health in promoting the health of slum residents, this study was conducted with the aim of identifying the main dimensions and components of these determinants. Methods: This scoping review study was conducted according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). A comprehensive search was performed of PubMed, ProQuest, Scopus, and Web of Science for articles conducted from 2010 to the end of 2019. Studies were selected based on inclusion criteria, with a special focus on studies dealing with the social determinants of physical and mental health or illness. Results: Thirty-three articles were selected to extract information on the social determinants of health. After reviewing the articles, 7 main dimensions (housing, socioeconomic status of the family, nutrition, neighborhood characteristics, social support and social capital, occupational factors, and health behaviors) and 87 components were extracted as social determinants of health among slum dwellers. Conclusions: This framework could be used by planners, managers, and policy-makers when making decisions affecting the health of these settlements' residents due to the common characteristics of slums around the world, especially in developing countries.

• 수산해양기술연구
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• 제58권3호
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• pp.272-280
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• 2022

The first step is to determine the principal dimensions of the design ship, such as length between perpendiculars, beam, draft and depth when accomplishing the design of a new vessel. To make this process easier, a database with a large amount of existing ship data and a regression analysis technique are needed. Recently, deep learning, a branch of artificial intelligence (AI) has been used in regression analysis. In this paper, deep learning neural networks are used for regression analysis to find the regression function between the input and output data. To find the neural network structure with the highest accuracy, the errors of neural network structures with varying the number of the layers and the nodes are compared. In this paper, Python TensorFlow Keras API and MATLAB Deep Learning Toolbox are used to build deep learning neural networks. Constructed DNN (deep neural networks) makes helpful in determining the principal dimension of the ship and saves much time in the ship design process.

• 대한간호학회지
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• 제29권3호
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• pp.467-484
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• 1999

The main objectives of this study were to investigate the concept of family function from the perspective of the contemporary Korean family, and to construct model of change of family function with chronic illness. The hybrid model approach was applied in which three phases(theoretical phase, empirical phase, and analytic phase) of concept development were explored for family functioning. The study was conducted from 1997 to 1998. In empirical phase, two groups of purposive samples were drawn : normal family group composed of six families without ill family member, and ill family group composed of seven families of which wives have rheumatoid arthritis. Only families with child(or children) in primary or secondary schools were included in the study. The results were as follows : In theoretical phase, six dimensions of family concept were emerged : affective, structural, control, cognitive, financial, and reproductive dimension. In order to analyse the Korean normal family function in middle class with middle-aged women, financial and reproductive dimension were not included. In empirical phase, five dimensions(affective, structural, control, cognitive, and external relationship) were found from the normal family data. External relationship dimension is very important factor as a resource of the support, especially when their parents or siblings had no help or support to them. In the affective dimension, Korean family emphasized harmony and balance rather than affective expression between couples and between parents and children. They also showed common goals of the families to solve their problems to control the family members. The priority of the goals was getting into the higher education of their children or helping their unhealthy parents or family members. Six dimensions (affective, structural, control, cognitive, external relationship, and financial) of family functions were emerged from the ill family data. From the analysis of ill family data, types of restructuring house chore after wives illness were developed : (a) negociated, (b) accomodated, and (c) isolated, enduring types. Although the dimensions of family functioning identified in this study are similar to the conceptualizations that exist in the western literature, there were distinct differences in the nature of major themes and subconcepts under these family function dimensions.

• 한국의상디자인학회지
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• 제23권2호
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• pp.133-146
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• 2021

It is important to conduct an anthropometric study to develop garment patterns to accommodate the changes found in the body size and type of men in their 30s, to effectively address fit dissatisfaction. Thus, this study aims to explore changes in the lower body sizes and body types of men in their 30s, and provide basic measurements for designing pants patterns. For this purpose, key anthropometric dimensions for the lower body of men in their 30s, which were acquired by the 6th (2010) and 7th (2015) survey conducted by Size Korea, were analyzed using SPSS 24.0 for Windows. Independent sample t-tests were conducted on major lower body sizes to track changes over time. Factor and cluster analyses were used to classify lower body types. From the comparison of the 6th (2010) and 7th (2015) surveys, it was found that the overall lower body size of men in their 30s were increasing in the height-related aspects, circumference, thickness, and width-as well as body weight and BMI. The five factors were derived to determine the typical lower body types of men in their 30s and the body types were classified into three categories through cluster analysis: (1) those with the largest body size, body volume, and obesity, (2) those with smallest body size, lower body volume, and obesity degree, visually the most skinny type, (3) those with BMI and weight that are the smallest, like Type 2, but the main circumference of the lower body is lower. In order to visually look at the statistical analysis, results were presented by producing a avatar based on the main lower body values.

• Computers and Concrete
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• 제12권3호
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• pp.337-349
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• 2013

Traditional concrete is effectively an insulator in the dry state. However, conductive concrete can attain relatively high conductivity by adding a certain amount of electronically conductive components in the regular concrete matrix. The main purpose of this study is to investigate the electrical and thermal properties of conductive concrete with various graphite contents, specimen dimensions and applied voltages. For this purpose, six different mixtures (the control mixtures and five conductive mixtures with steel fibers of 2% by weight of coarse aggregate and graphite as fine aggregate replacement at the levels of 0%, 5%, 10%, 15% and 20% by weight) were prepared and concrete blocks with two types of dimensions were fabricated. Four test voltage levels, 48 V, 60 V, 110 V, and 220 V, were applied for the electrical and thermal tests. Test results show that the compressive strength of specimens decreases as the amount of graphite increases in concrete. The rising applied voltage decreases electrical resistivity and increases heat of concrete. Meanwhile, higher electrical current and temperature have been obtained in small size specimens than the comparable large size specimens. From the results, it can be concluded that the graphite contents, applied voltage levels, and the specimen dimensions play important roles in electrical and thermal properties of concrete. In addition, the superior electrical and thermal properties have been obtained in the mixture adding 2% steel fibers and 10% graphite.

• 한국의상디자인학회지
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• 제8권3호
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• pp.1-15
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• 2006

The purpose of this research is to find out the effect of clothing style and mixtures of stripe pattern direction, width, and coloration of an upper garment. The experimental materials made for this study are a set of stimuli and response scale(The 7-Point semantic). The subjects were 480 female undergraduate students in Seoul, Busan, Gyung-nam. The 80 stimuli which were variously incorporated with clothing styles and stipe patterns were assessed by the students. The following contents summarizes the results of the research. Impression factors of the stimuli consists of the 5 dimensions(Attractiveness, Show, Activity, Clearness, mildness). Amon these, the Attractiveness and Show dimensions proved to be more important. The clothing style and pattern direction indicated main effect in attractiveness and activity dimension. The pattern coloration showed a significant effect in dimensions except attractiveness and clearness. The pattern width had a significant effect only in the activity. Significant interaction effects of each clothing clause were found in the attractiveness, activity and clearness, but Show and mildness had no significant interaction effect. This research, as the 06 S/S, F/W trend, is a meaningful study in that it handled in the form of expression the stripe pattern used unrestrictedly in the casual wear or the formal wear by a fashion keyword.

• 가정과삶의질연구
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• 제10권2호
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• pp.145-161
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• 1992

The purpose of this study are to identify dimensions of leisure motivation of urban housewives. to segment hose wives according to their leisure motivation type and to find out the characteristics of each group. Sample of survey are 574 married women under age 60 living in Seoul. data collected by questionnaire and interview were analyzed through statistical method including factor analysis. ANOVA, Duncan test, MCA and cluster analysis etc. Major finding are as follows; 1) Urban housewives' motivation for leisure activity is composed of self-developmental, relaxatonal, social, family-oriented and imitational dimensions. 2) Main determinants of wives' leisure motivation are their age, education, job, stage in family life cycle. number of family members and household income. Their Sex role personality traits also have effect. 3) The urban housewives' leisure motivation is strongly correlated with their participation in leisure activity. 4) According to the factor scores of each motivation dimensions, subjects can be grouped to 4 typed by use of cluster analysis technique. They were named as Leisure-Indifferent type, Little-Leisure-Seekers. Passive-Leisure-Seekers and Active-Leisure-Seekers. Each of these groups showed different features in socio-demographic factors. different personality traits, and different leisure behavior. For and urban housewife, the most important need for leisure is developing herself. Rest. social life and family are important for leisure, too. Imitation is another reason. Groups with different combination of leisure motivation seem to have different resource and personality. These results have implication for futuer leisure plan for them.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.791-801
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• 2021

This study aims to test whether and to what extend national culture affects the readiness of business-to-consumer (B2C) e-commerce across the world. We regress two sets of data at national level: (1) the ratings of two main dimensions of Hofstede's national culture framework, uncertainty avoidance and individualism, and (2) UTCTAD B2C e-commerce index value. A sample of 83 countries was tested in this study. Several control variables at national level are included in our regression model. We find that these two cultural dimensions have an effect on the readiness of B2C e-commerce in various ways. We find that countries with high individualism score have high index value of B2C e-commerce development. We discuss the implications of these findings for B2C e-commerce developing strategies. We then call for designing relative policies with full consideration on national culture to promote the development of B2C e-commerce. In addition, we identify the limitations of the study and propose recommendations for future research. This study is the first one to use UNCTAD data on B2C e-commerce to explore the relationships between two dimensions of Hofstede's national culture and the readiness of B2C e-commerce and adds to the knowledge of literature in this research field.

• International Journal of Quality Innovation
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• 제10권2호
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• pp.57-76
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• 2009

Although many adherents openly praise the importance of quality management practices (QMP) in organisations, others have identified significant costs and implementation obstacles. Some recent studies showed that QMP have failed due to the ignorance of quality cultures. How to improve the success rate of QMP in organisations has become a critical issue both in the academy and in practice. This paper discusses the common enablers of and cultural impacts on QMP. It explores the dimensions of national versus organisational culture, and identifies the main features of four quality culture models as advocated in the literature in relation to facilitating QMP in organisations. It was found that flat structures, decentralised functions, empowerment, flexibility, innovation, limited rules and regulations and teamwork favor the QMP implementation. For facilitating culture changes for QMP, values associated with low power distance, low uncertainty avoidance and collectivism would have to be nurtured. Further research is needed to incorporate the findings and develop a practical quality culture approach for real applications in industry.

• 복식문화연구
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• 제12권3호
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• pp.379-391
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• 2004

The purpose of this study was to examine the effects of uniform's color and motif on nurse's impression formation. The experimental design was 5×3×2(uniform color×motif ×perceiver's gender) factorial design with a between-subjects design. The experimental materials developed for the study were a set of stimuli and a response scale. The subjects were 738 undergraduate students of Daejon and Chungnam province. The SPSS package was used for data analysis which includes factor analysis, two-way ANOVA, Duncan's multiple range test, and Cronbach's α to measure the reliability. Results were as follows; The image or the stimulus was consisted of the 4 different dimensions(evaluation, sociability, ability, potency). All the independent variables showed some significant impression effects on selected dimensions. The motif and perceiver's gender also showed significant main effects as well as some interaction effects with the color variable on some selected impression dimension and the impression effects of the three variables in relationship to perceiving nurses' images. On a conclusion, these results supported the Gestalt theory.