• Journal of Preventive Medicine and Public Health
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• v.33 no.2
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• pp.150-156
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• 2000

Objective : To analyze the factors affecting the participation rate in the health screening program of medical insurance. Method : We investigated the factors associated with the participation rate in the health screening program in Korea. Data were collected at the aggregate level from 145 employee health insurance societies and 227 self-employed health insurance societies from 1995 to 1997 Data were also collected at the individual level from four health insurance societies. This study hypothesized that the participation rate of the health screening program was related to 1) the characteristics of its members and the size of the health insurance society; 2) the specifications of the health screening program; 3) the venue of the health screening institution and the interests of individuals in the health screening program; and 4) the activities of the health insurance society. We used bivariate and multiple regression models to examine the factors on the participation rate of the health screening program. Results : First, in the case of dependents of on employee health insurance society, the ratio of dependents 40 years old and over, the average monthly contribution per household, the interest and satisfaction level of individuals in health screening, and the level of refunds for over-payment were all associated with the participation rate in the health screening program, accounting for 54.4% of the participation rate. Second, in case of those insured by the self-employed health insurance society, the interest and satisfaction level of individuals in health screening, the level of refunds for over-payment, and the performance level of on-the-spot health screening were statistically significant, accounting for 40.1% of the participation rate. Conclusion : The factors concerning the participation rate in the health screening program of medical insurance, in both a health insurance society and for individuals, were closely related to the age and gender of individuals and household contributions.

• Korean journal of food and cookery science
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• v.18 no.5
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• pp.505-515
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• 2002

The purpose of this study was to investigate the body mass index and food habits of female university students (nutrition majors) in Seoul. The means of height, weight and BMI were 161.22${\pm}$4.63cm, 52.76${\pm}$6.59kg, and 22.20${\pm}$3.98, respectively. Subjects were divided into 3 groups based on BMI. The ratio of underweight, normal, and overweight students was 25.2%, 56.3%, and 18.5%. respectively. There were significant differences in the recognition rate of body shape and the way to maintain health by BMI. And self satisfaction rate of body shape was significantly higher in underweight subjects compared with others. There was no significant difference in the rate of activity and exercise, food behavior, intake frequency of various foods, intake of convenience food and carbonated drink according to BMI. Weight and body fat of subjects had a significant correlation with BMI. and height, frequency of taking food, frequency of meals, food behavior, intake food, health and exercise consciousness rate showed no correlation with BMI.

• Journal of the Korea Safety Management & Science
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• v.16 no.1
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• pp.139-146
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• 2014

As Crosby notes, the most companies spend 15 to 20% of their sales dollars on quality costs. Generally the most effective way to manage quality costs is to avoid having defects in the first place. In this paper we have studied about the repair(service) problem of domestic gas boiler within warranty period. We develop a system, which man could find the cause of the problem at an early stage and could devise a countermove to the problem under supposing that the service(repair) rate follows exponential distribution and the product is manufactured lot-for-lot continually. Using the developed early sensing system. it is expected to improve the reliability of the product, to save expenses of company and to improve customer's satisfaction. And the system will be expended to incorporate information technology, which can detect the repair rate automatically.

• Journal of the Korea Safety Management & Science
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• v.24 no.2
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• pp.143-154
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• 2022

Korea has the highest suicide rate in the world, and firefighters have the highest suicide rate among the professional population. As a result of the study, post-traumatic stress disorder education is essential in all occupations. Post-traumatic stress disorder is the most common disease and the biggest obstacle for firefighters in Korea. Firefighters who have suffered physical and mental damage in many types of disaster sites due to their extreme occupations are rapidly increasing the suicide rate in recent years. In order to maximize the effect of job training, education on post-traumatic stress disorder from new employees to leadership training is urgently needed.

• Korean Journal of Human Ecology
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• v.16 no.4
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• pp.801-811
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• 2007

This study attempts to propose a pattern design of snug fitting midi briefs for women. Each briefs made of two kinds of fabric, cotton 40's and cotton 40's spandex, was produced for the research in a different shrinkage rate. The result of wearing test of the briefs-sold-in-the-market (BSM) and the briefs-specially-made-for-this-research (BSMR) were as follows: BSMR showed a higher mark than that of BSM in the sense of close fit on the torso, comfortableness, sense of being tight, satisfaction and beauty. In particular, the back design line of BSM gave a lower satisfaction to test wearers, while that of BSMR gave a more comfortableness to them, making their hip comfortably being wrapped by making smoother the angle of the straight line linking sidelines with clutch part, and making sidelines into curve. In a forward research, further studies about grading and other patterns but midi pattern of briefs would be examined.

• The Journal of Korean Academic Society of Nursing Education
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• v.13 no.2
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• pp.266-276
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• 2007

Purpose: The purpose of this study was to identify variables related to smoking behaviors (never smoked, former smoker, current smoker) among college students on the basis of the PRECEDE model. Method: Data were collected from 327 college students in Chungbuk Province from May to June 2006 using a self-reported questionnaire. Result: The rate of current smokers was 19.0%. The rate of current smokers in male students (41.1%) was significantly higher than that of female students(8.3%). Also, there were significant differences by general characteristics such as major, academic achievements, satisfaction with major and alcohol consumption. Number of smokers among five close friends was 1.72 and it showed significant differences among different gender, majors, levels of satisfaction with majors and alcohol consumption. In discriminant analysis, discriminant variables on smoking behavior were the number of smokers among close friends, the referent persons' responses about smoking and subject's belief about smoking. Conclusion: These research findings suggest that we can enhance the prevention of college students' smoking by strengthening the related factors such as enforcing a non-smoking environment and strengthening college health education strategies of non-smoking including a negative belief of smoking and the hazard of passive smoking.

• Korean Journal of Adult Nursing
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• v.20 no.2
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• pp.321-330
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• 2008

Purpose: This study was intended to determine how the choice of music affects the physiological and psychological status of women college student during music therapy. Methods: A nonequivalent experimental group pretest-posttest design was used. 19 out of 54 subjects were assigned to listen to their favorite music and 17 to their unfavorite music for 20 minutes using MP3 players and headphones. Anxiety, blood pressure, pulse and blood glucose levels of the subjects were measured before treatment. The data was analyzed by Mann-Whitney and Wilcoxon signed rank test using the SPSS/WIN 10.0 program. Results: The result showed that systolic blood pressure, blood glucose and anxiety level decreased significantly in the favorite music group. however systolic blood pressure, pulse rate and anxiety level increased significantly in the unfavorite music group. The favorite music group showed a significantly higher level of satisfaction than the unfavorite music group. Conclusion: Choice of music affects the physiological and psychological status of an individual. Favorite music listening would enhance the effect of music therapy. Therefore, selection of music must be considered in light of the subject's preference and characteristics.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.7
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• pp.512-518
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• 2013

A resource allocation algorithm has a high impact on user satisfaction as well as the ability to accommodate and process services in a distributed cloud computing. In other words, service rejections, which occur when datacenters have no enough resources, degrade the user satisfaction level. Therefore, in this paper, we propose a resource allocation algorithm considering the cloud domain's remaining resources to minimize the number of service rejections. The resource allocation rate based on Q-Learning increases when the remaining resources are sufficient to allocate the maximum allocation rate otherwise and avoids the service rejection. To demonstrate, We compare the proposed algorithm with two previous works and show that the proposed algorithm has the smaller number of the service rejections.

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.41-57
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• 2023

This paper aims to analyse the factors influencing the implementation of smart factories and their performance after implementation, using the grounded theory analysis method based on interview data. The research subjects were 21 companies that were selected by the Smart Manufacturing Innovation Promotion Group under the SME Technology Information Promotion Agency in 2020-2021 as the best case smart factory implementation companies, and introduced the intermediate stage 1 or above. A total of 87 concepts were generated as a result of the analysis. We were able to classify them into 16 detailed categories, and finally derived six broad categories. These six categories are "motivation for adoption", "adoption context", "adoption level", "technology adoption", "usage effect" and "management effect". As a result of the overall structure analysis, it was found that the adoption level of smart factory is determined by the adoption motivation, the IT technology experience affects the adoption level, the adoption level determines the usage and usage satisfaction, internal and external training affects the usage and usage satisfaction, and the performance or results obtained by the usage and usage are reduced defect rate, improved delivery rate and improved productivity. This study was able to derive detailed variables of environmental factors and technical characteristics that affect the adoption of smart factories, and explore the effects on the usage effects and management effects according to the level of adoption. Through this study, it is possible to suggest the direction of adoption according to the characteristics of SMEs that want to adopt smart factories.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.39-53
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• 2017

The purpose of this study was to investigate the effects of the rural migration factors, degree of preparation for migration, lifestyle conditions and support policies reflected against the family satisfaction of the migration. In this study family factors were used as control variables. Independent variables for this study will consist of the factors of rural migration, the degree of preparation for migration, living conditions of the farmers and the support policies, where as the dependent variable is the satisfaction of migration with an adjusting factor of the family satisfaction which will be further analysed to identify its effects on the dependent variable. For this study, a questionnaire survey was conducted for the residents and 237 valid questionnaires were collected. Multiple regression analysis was performed based on the collected data where demographic attributes being the controlling variable, and regression analysis was performed for the adjusting variable of the family. As the economic factor increases, the level of satisfaction generated to be higher in rural migration. As for the degree of preparation, living condition and support policies resulted, great quantity of green nature, safety and agriculture startup support, respectively, indicated a positive effect to the satisfaction level of migration. From the results, adjustment effect of the family factors on the economic, nature, convenience and satisfaction of the migration have appeared. The conclusion of this study is that policy support, regional stability, and economic gain are the most important factors to increase satisfaction and to reduce re-migration rate to city.