Kim, Min-Kyung;Park, Sung-Ho;Seo, Deog-Gyu;Song, Yun-Jung;Lee, Yoon;Lee, Chan-Young
Restorative Dentistry and Endodontics
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v.33
no.4
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pp.341-351
/
2008
This study investigated the effect of intermittent polymerization on the rate of polymerization shrinkage and cuspal deflection in composite resins. The linear polymerization shrinkage of each composite was measured using the custom-made linometer along with the light shutter specially devised to block the light at the previously determined interval. Samples were divided into 4 groups by light curing method; Group 1) continuous light (60s with light on); Group 2) intermittent light (cycles of 3s with 2s light on & 1s with light off for 90s): Group 3) intermittent light (cycles of 2s with 1s light on & 1s with light off for 120s); Group 4) intermittent light (cycles of 3s with 1s light on & 2s with light off for 180s). The amount of linear polymerization shrinkage was measured and its maximum rate (Rmax) and peak time (PT) in the first 15 seconds were calculated. For the measurement of cuspal deflection of teeth, MOD cavities were prepared in 10 extracted maxillary premolars. Reduction in the intercuspal distance was measured by the custom-made cuspal deflection measuring machine. ANOVA analysis was used for the comparison of the light curing groups and t-test was used to determine significant difference between the composite resins. Pyramid showed the greater amount of polymerization shrinkage than Heliomolar (p < 0.05). There was no significant difference in the linear polymerization shrinkage among the groups. The Rmax was group 4 < 3, 2 < 1 in Heliomolar and group 3 < 4 < 2, 1 in Pyramid (p < 0.05). Pyramid demonstrated greater cuspal deflection than Heliomolar. The cuspal deflection in Heliomolar was group 4 < 3 < 2, 1 and group 4, 3 < 2, 1 in Pyramid (p < 0.05). It was concluded that the reduced rate of polymerization shrinkage by intermittent polymerization can help to decrease the cuspal deflection.
Recent explosive increase of electronic commerce provides many advantageous purchase opportunities to customers. In this situation, customers who do not have enough knowledge about their purchases, may accept product recommendations. Product recommender systems automatically reflect user's preference and provide recommendation list to the users. Thus, product recommender system in online shopping store has been known as one of the most popular tools for one-to-one marketing. However, recommender systems which do not properly reflect user's preference cause user's disappointment and waste of time. In this study, we propose a novel recommender system which uses data mining and multi-model ensemble techniques to enhance the recommendation performance through reflecting the precise user's preference. The research data is collected from the real-world online shopping store, which deals products from famous art galleries and museums in Korea. The data initially contain 5759 transaction data, but finally remain 3167 transaction data after deletion of null data. In this study, we transform the categorical variables into dummy variables and exclude outlier data. The proposed model consists of two steps. The first step predicts customers who have high likelihood to purchase products in the online shopping store. In this step, we first use logistic regression, decision trees, and artificial neural networks to predict customers who have high likelihood to purchase products in each product group. We perform above data mining techniques using SAS E-Miner software. In this study, we partition datasets into two sets as modeling and validation sets for the logistic regression and decision trees. We also partition datasets into three sets as training, test, and validation sets for the artificial neural network model. The validation dataset is equal for the all experiments. Then we composite the results of each predictor using the multi-model ensemble techniques such as bagging and bumping. Bagging is the abbreviation of "Bootstrap Aggregation" and it composite outputs from several machine learning techniques for raising the performance and stability of prediction or classification. This technique is special form of the averaging method. Bumping is the abbreviation of "Bootstrap Umbrella of Model Parameter," and it only considers the model which has the lowest error value. The results show that bumping outperforms bagging and the other predictors except for "Poster" product group. For the "Poster" product group, artificial neural network model performs better than the other models. In the second step, we use the market basket analysis to extract association rules for co-purchased products. We can extract thirty one association rules according to values of Lift, Support, and Confidence measure. We set the minimum transaction frequency to support associations as 5%, maximum number of items in an association as 4, and minimum confidence for rule generation as 10%. This study also excludes the extracted association rules below 1 of lift value. We finally get fifteen association rules by excluding duplicate rules. Among the fifteen association rules, eleven rules contain association between products in "Office Supplies" product group, one rules include the association between "Office Supplies" and "Fashion" product groups, and other three rules contain association between "Office Supplies" and "Home Decoration" product groups. Finally, the proposed product recommender systems provides list of recommendations to the proper customers. We test the usability of the proposed system by using prototype and real-world transaction and profile data. For this end, we construct the prototype system by using the ASP, Java Script and Microsoft Access. In addition, we survey about user satisfaction for the recommended product list from the proposed system and the randomly selected product lists. The participants for the survey are 173 persons who use MSN Messenger, Daum Caf$\acute{e}$, and P2P services. We evaluate the user satisfaction using five-scale Likert measure. This study also performs "Paired Sample T-test" for the results of the survey. The results show that the proposed model outperforms the random selection model with 1% statistical significance level. It means that the users satisfied the recommended product list significantly. The results also show that the proposed system may be useful in real-world online shopping store.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.8
no.4
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pp.129-144
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2013
The consumption of coffee has been drastically increased last two decades. Now almost all the Korean adult people enjoy the coffee and diverse cultures related coffee have been spread widely in Korea. Therefore new marketing strategies are necessary to satisfy consumers according to ages, attitudes, and other characters. It has been continuously discussed whether the coffee gives negative impacts to health. Regardless of the discussions of the effects to health, now coffee became a part of modern daily lives. In this study the motivations of coffee consumption were classified to five; wellbeing motivation, refreshment motivation, social motivation, habitual motivation, and emotional motivation. Future intention of coffee consumption were also classified to five factors: sound mental intention, addictive intention, side-effect recovery intention, economic intention, and psychological intention. The survey was conducted in Seoul City and Kyeongki Province from January 3 to February 2, 2013. Total 500 questionaries were distributed and 450 were collected and 428 samples were used for the analysis of this study. The data were analyzed by SPSS Win 18 Version. The methods used in this study were factors analysis test, reliability test, validity test, t-testy, One-Way ANOVA, and regression analysis. The hypnosis in this study were as follows. First, The motivations of coffee consumption would influence to the intention of coffee consumption. Second, there would be statistical differences to the intention of coffee consumption according to the demographic characteristics. According to the result of the study, the motivation of coffee partially affected to the intention of coffee consumption. And there were statistical differences according to age, occupations, educational levels, and monthly incomes. The implications of this study were the factors related health and emotional feeling were considered more important than tastes and characters of coffee-shop that people thought more important before.
The purpose of this study was to investigate the actual condition of communication of dental hygienist in oral hygiene instruction during scaling. The research was intended for 67 dental hygienists who worked dental hospitals and clinics. Oral hygiene instruction during scaling was audiotaped. Pearson correlation analysis, t-test, one-way ANOVA, and chi-squared test were conducted. The results gained by the research were as follows. An analysis of 67 dental hygienists has found that 63 dental hygienists (94%) educated the patients with dentiform and 65 of them (97%) did rolling method. Thirty-three of them (49.3%) recommended oral care products to the patients. Only 14 of all educators (21%) said simple greetings and educated importance of care of subjects' teeth, side effect of scaling, when they finished all the scaling stage. The average time of oral hygiene education was 161.3 seconds. In detail, the dental hygienists told 155.0 seconds, the patients did 6.3 seconds on average. The percentage of education time without patients' comments and dialogue each other were 35.8% and 37.3% respectively. The conversation frequency according to the education level of dental hygienist showed significant difference (p<0.05). There was a negative correlation between total education time and patients coming for scaling per day and there was a positive correlation between total number of questions and patient talking time. The result of chi-squared test showed that there was significant difference on asking regards depending on setting a limitation of scaling time (p<0.05). The research showed that the dental hygienists seem to educate the patients mechanically, uniformly rather than educate them according to their oral hygiene condition.
Purpose: The purpose of this study was to determine differences in eating-out, dietary life styles, and healthy dietary competencies among middle-aged consumers according to obesity status and gender for implications of consumer education. Methods: Data were drawn from the 2016 Food Consumption Behavior Survey, and 3,022 subjects (mail 1,388; female 1,634) who were middle-aged adults were investigated. Analysis of variance with $Scheff\acute{e}$ test, t-test, $x^2$-test, and factor analysis were performed using SPSS v.24. Results: Males showed less interest in diet than females. For both males and females, higher BMI degrees were associated with higher levels of interest in diet. For frequency, monthly average consumption expenditure, one-time cost for eating out, and drinking frequency, males showed higher levels than females. Especially for the male group, higher obesity status was associated with higher levels of eating out and drinking. Dietary lifestyles of males and females turned out to be very similar. For the male group, normal weight group was more likely to show 'health and high quality pursuit dietary life-style' than the other groups. For females, the normal weight group were more likely to show 'health and high quality pursuit dietary life-style' and 'safety pursuit dietary life-style' than the other groups. The level of 'healthy dietary competence' for females was found to be higher than that for males. For the female group, there were significant differences according to obesity status, and practice was more important than knowledge in determining a healthy dietary life. Conclusion: For dietary life-related education for obese middle-aged consumers, it is important to emphasize less eating-out and drinking and less overeating while eating-out based on the results that eating-out, drinking, and overeating in the obesity group were significantly higher than in the normal group. It is important to focus on the value of dietary life and diverse foods, based on the results that the obesity group was less likely to be have healthy dietary lifestyles and consume less diverse foods than the normal group.
Purpose: This study was performed to analyze customer needs for the operation of unmanned food stores on a university campus. Methods: A total of 329 responses were collected from customers who had purchased food at the stores. Statistical analyses were conducted using the SPSS program for frequency analysis, χ2-test, t-test, one-way analysis of variance, and Duncan's multiple range test. Results: On average, the overall satisfaction score for lunch and the eating location was 3.91 out of 5 points. Overall satisfaction was significantly higher for home cooking, and lower for eating at convenience stores (p < 0.001), and the score for eating with family was significantly higher than for eating alone or with friends (p < 0.001). On average, the intention to use an unmanned store received a score of 3.98 out of 5 points, while 'home cooking (3.76)' was significantly lower than other eating locations and eating at 'convenience stores (4.38)' was significantly higher than other eating locations (p < 0.05). The desired time of use for unmanned food stores was 'lunch (54.1%)', 'dinner (46.2%)', and 'afternoon snack (41.9%)', and the desired foods were 'doshirak (62.0%)', 'sandwich (56.2%)', 'fruit cup (54.4%)', 'salad (51.7%)', and 'kimbap (50.5%)'. There were significantly more opinions that single-person households would use unmanned food stores for dinner more than family households (p < 0.05), and significantly more willingness to purchase fruit cup (p < 0.05). The average prices (Korean won) that the subjects were willing to pay for the purchase of food were 4,991 for doshirak, 3,403 for salad, 2,745 for fruit cup, 2,609 for sandwich, and 2,235 for kimbap. Conclusion: For the successful operation of the unmanned food stores on the university campus, the store manager should grasp the customer's needs in real-time and establish an effective marketing strategy.
This study conducted oral examinations and individual interviews on migrant multi-cultural family women in Daegu and measured their socio-demographic characters, oral health conditions and OHIP-14 in an aim to investigate the relevance between the oral health of migrant multi-cultural family women living in some big cities and their quality of life. Based on data finally collected from 189 women, the t-test, ANOVA and binary logistic regression analysis were conducted and the conclusions are as follows: The average number of decayed teeth was 2.23, loss teeth was 1.48, and treated teeth was 5.58. Women from the Philippines had more number of loss teeth than those from other countries, and women from China relatively had a small number of filled permanent teeth. The quality of life related to oral health was found to be poor in proportion to the number of loss teeth. A comparison of life quality related to oral health depending on loss teeth showed that life quality related to oral health was lowest in the areas of mental discomfort, physical ability decrease, mental ability decrease, social ability decrease and social disadvantage. Life quality related to oral health was found to be low in proportion to the number of permanent teeth with decay experience and poor monthly household income, which shows that the number of permanent teeth with decay experience and monthly income are mostly related to life quality related to oral health. As migrant multi-cultural family women's life quality related to oral health is low in proportion to the number of loss teeth and decayed teeth, it needs to develop a program to improve their oral healthrelated life quality and conduct follow-up research to verify its effect.
Journal of the Korean Society for Library and Information Science
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v.46
no.1
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pp.183-200
/
2012
The purpose of this study was to assess the activities and satisfaction of school library parent volunteers. The questionnaire survey, which consisted of questions regarding personal background, volunteering experience, training, interpersonal relation, and satisfaction, was administered for two weeks in November 2011 to volunteers in 34 elementary schools in Anyang and Gwacheon area. Data collected from 524 volunteers (response rate was 60.6%) were analyzed by descriptive statistics, t-test, ANOVA, and correlation analysis. Most of the volunteers were female, 36-40 in age, and with college education. The biggest group had seven to 12 months volunteering experience, less than six hours, and frequencies for the last six months. Seventy-four percent had training before the volunteer service and 50.9% had continuing education experience. The mean score of satisfaction was 3.64 on a five-point Likert scale. There were significant statistical differences in satisfaction, depending on sex, education, level of volunteering experience, and continuing education. There was a positive correlation between interpersonal relationship and satisfaction. Based on the results, recommendations for systematic volunteer management were suggested to improve effectiveness and satisfaction.
Perception level and social position of radiological technologist influence satisfaction level of their job. This study aims to use foundational data to improve perception level and social position of radiological technologists. We conducted interviews and a fill-out survey with 233 students who have been majoring in health-related fields at five universities and colleges located in Busan and who finished internship programs. The study analyzed 233 answer sheets excluding 17 inadequate answer sheets using T-test, ANOVA and multiple regression analysis with SAS9.1. The mean score of perception level was $3.33{\pm}0.56$. The personal image of radiological technologist showed the best score($3.43{\pm}0.56$) whereas the social image showed the worst($3.12{\pm}0.58$). According to the classification of the subject, the answer, "radiological technologist is specialized job", showed the best score($3.99{\pm}0.79$). The answer "radiological technologist suffered from less stress and workload than others when they work usually" showed the worst score($2.88{\pm}0.98$). According to the classification of each health-related major, the mean score of students who are a major in the department of the radiological technologist was the best($3.46{\pm}0.46$) and the students who are major in department of the physical therapy was the worst($3.24{\pm}0.40$). The radiological technologist have to effort to make positive image in the hospital. It is possible to be developed their knowledge and professionalism by cooperating between school and hospital as well as advertising with mass madia.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.6
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pp.286-295
/
2020
This study examined the effects of emotional clarity and empathic ability on interpersonal competence among nursing college students. The subjects included college students in some provinces. The research period was November and December 2019. Two hundred and eighty five students were analyzed. The data collected were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation, and stepwise multiple regression analysis. The findings show that empathy (β=.551, p<.001), emotional clarity (β=.288, p<.001), and satisfaction with college life (β=.092, p<.001) had significant effects on interpersonal competence with an explanatory power of 47.4%. Interpersonal competence had significant positive correlations with empathy (r=.641, p<.001) and emotional clarity (r=.443, p<.001). Therefore, it is important to reinforce the development and application of customized individual counseling programs designed to enhance empathy. This encourages nursing college students to understand emotional clarity, which helps them recognize others' emotions as well as their own and make proper reactions. Accordingly, satisfaction with college life, which adds more vitality to their college life, will increase the interpersonal competence of nursing college students. In the future, repeating and in-depth research should be conducted to include emotional and psychological factors of interpersonal competence. A standardized research tool will be needed to measure interpersonal competence.
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