• Journal of the Korean Society for Aviation and Aeronautics
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• v.2
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• pp.101-118
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• 1994

미국의 항공운송산업 규제완화법(Airline Deregulation Act of 1978)에 의한 미국의 항공운송산업 자유화 정책은 미국의 국내 항공운송 시장의 환경을 철저한 경쟁의 원리가 적용되는 자유경쟁 시장으로 변화시켰으며, 국제 항공운송 시장에도 자유경쟁의 원리가 점진적으로 도입되는 계기를 마련하였다. 항공운송산업 자유화 정책은 항공사의 운송 시장 환경뿐만 아니라 그들이 이용하는 공항의 경제 환경에도 많은 변화를 가져왔다. 자유화가 공항의 경제에 미친 영향을 연구하기 위하여, 자유화 이후 공항에서 시장 합리화 (Market Rationalization)의 원리가 적용 되었는 가를 조사하였다. 이를 위해 (1) 자유화 이후, 공항료(Airport Rates and Charges)와 공항에서의 활동량 (the Volume of Activity) 간에 유의한 상관 관계가 존재하는 가의 여부 (2) 자유화 이전과 이후를 비교할 때, 각 Hub Class별 공항료의 수준에 있어 유의한 변화가 있는 가의 여부에 대한 통계 분석을 실시하였다. 상관분석의 결과, 자유화 이후, 공항료와 공항에서의 활동량 간에 유의한 상관 관계가 존재한다는 결론을 채택하는 데 실패하였으며 또한 일원 분산 분석의 결과, 자유화 이전과 이후를 비교할 때, 각 Hub Class별 공항료의 수준에 있어 유의한 변화가 있다는 결론을 제시할 수 없었다. 미국의 항공운송산업 자유화 정책이 미국 공항 경제에 미친 영향에 대한 본 연구는 현재 경제규제완화를 실험하고 있는 우리의 경제 정책에 좋은 참고자료가 되기를 기대한다.

• Journal of Fashion Business
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• v.7 no.5
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• pp.101-107
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• 2003

In order to compare the sizes of infants;brands, the apparel size #70 and #80, #90 were surveyed, while upper body lengths, bust circumferences and waists, hip circumferences, shoulder length, sleeve length, neck circumferences of infants' underwears were examined. As a result, it was found that upper body lengths, chest circumferences and lower body lengths of infants' underwears differed more or by $2.0{\sim}3.0cm$ among brands than other sizes. In case of underwear size #70, the average upper body length was 32.8cm; the upper body size of "c" brand was longest or 33.5cm, while that of "e" brand was shortest or 32.0cm. In case of size #80, the average upper body length was 36.0cm; the upper body size of "a" brand was longest or 37.0cm, while that of "e" brand was shortest of 35.0cm. Such findings may be attributable to the fact that the main customers of "a" and "b" brands whose pattern sizes are larger are middle or lower class people who tend to buy larger infants' apparels than their children's actual body sizes. In contrast, "e" brand seems to target the upper class who prefers the apparels almost fitting their children's actual body sizes.

• Asian Journal for Public Opinion Research
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• v.12 no.2
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• pp.75-101
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• 2024

This study investigates the variation in anxiety levels across income classes in the wake of the COVID-19 pandemic in Indonesia. The research is based on data from nationally representative surveys conducted in 2017 and 2021, and it employs a multilevel mixed-effects ordered logistic model. The unique aspect of this investigation lies in its utilization of the Cantril ladder, a commonly employed tool in public opinion research, to gauge anxiety levels. Participants are prompted to assess their present life circumstances concerning their daily worries and anxieties. The empirical findings provide evidence that individuals in provinces with higher exposures to COVID-19 reported heightened anxiety levels. Furthermore, the results highlight a consistent association between higher household income and lower levels of anxiety. Notably, individuals from the highest income group experienced a substantial decline in anxiety levels during the pandemic. When examining specific income classes, the study reveals heightened anxiety among women in higher-income brackets and among lower-income households residing in urban areas. Furthermore, regarding macroeconomic circumstances, the results illustrate a positive correlation between economic prosperity and anxiety levels among members of low-income households. The study also uncovers a positive connection between income inequality and self-assessed anxiety within upper-middle and high-income brackets.

• Journal of Korean Home Economics Education Association
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• v.33 no.1
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• pp.101-127
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• 2021

The purpose of this study is to design and develop a teaching-learning process plan for process-based assessment, focusing on the unit related to life design in middle school home economics(HE: Home Economics part of 「Technology and Home Economics」), to propose a feedback plan after implementing it, and to evaluate the plan through participatory observation and interviews. The student reflection journals, teacher's class journals, participatory observation journals, interviews, and performance tasks, were collected and analyzed to provide foundational date to be utilized for feedback to students, and class improvement. The research results are as follows: First, the developed teaching-learning process plan consists of a total of 8 sessions, i.e. 2 sessions for each of the four learning themes, under the practical question of "What should I do to live the life I want?" The portfolio was composed of five evaluation topics and for evaluation, oral presentation, observational evaluation, self-assessment, and peer evaluation were considered. Second, during the class, feedback from teachers, feedback from fellow students, feedback through results, and a plan to record them were provided. Third, from the analysis of collected data including observation journals and interviews, it was apparent that the students recognized the necessity of process-based assessment after the class, and students acknowledged that through the process-based evaluation in which they are evaluated on the efforts they made and provided with feedbacks, they participated more in class, and it lead them to experience a sense of growth and a feeling that they took a step forward into their future. Teachers suggested that the class through feedback was suitable for the unit and the capacity of the class, but the difficulty they experienced in giving feedback was presented as a disadvantage. For the process-based assessment, follow-up research is needed on various ways to provide feedback on-line and off-line through changes in the perception of assessment.

• Trans-
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• v.12
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• pp.51-79
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• 2022

This study investigates the methods for deriving colors which can serve as a reference to users such as designers and or contents creators who search for online images from the web portal sites using specific words for color planning and more. Two experiments were conducted in order to accomplish this. Digital scenery photos within the geographic scope of Korea were downloaded from web portal sites, and those photos were studied to find out what colors were used to describe daytime and nighttime. Machine learning was used as the study methodology to classify colors in daytime and nighttime, and KSCA was used to derive the color frequency of daytime and nighttime photos and to compare and analyze the two results. The results of classifying the colors of daytime and nighttime photos using machine learning show that, when classifying the colors by 51~100%, the area of daytime colors was approximately 2.45 times greater than that of nighttime colors. The colors of the daytime class were distributed by brightness with white as its center, while that of the nighttime class was distributed with black as its center. Colors that accounted for over 70% of the daytime class were 647, those over 70% of the nighttime class were 252, and the rest (31-69%) were 101. The number of colors in the middle area was low, while other colors were classified relatively clearly into day and night. The resulting color distributions in the daytime and nighttime classes were able to provide the borderline color values of the two classes that are classified by brightness. As a result of analyzing the frequency of digital photos using KSCA, colors around yellow were expressed in generally bright daytime photos, while colors around blue value were expressed in dark night photos. For frequency of daytime photos, colors on the upper 40% had low chroma, almost being achromatic. Also, colors that are close to white and black showed the highest frequency, indicating a large difference in brightness. Meanwhile, for colors with frequency from top 5 to 10, yellow green was expressed darkly, and navy blue was expressed brightly, partially composing a complex harmony. When examining the color band, various colors, brightness, and chroma including light blue, achromatic colors, and warm colors were shown, failing to compose a generally harmonious arrangement of colors. For the frequency of nighttime photos, colors in approximately the upper 50% are dark colors with a brightness value of 2 (Munsell signal). In comparison, the brightness of middle frequency (50-80%) is relatively higher (brightness values of 3-4), and the brightness difference of various colors was large in the lower 20%. Colors that are not cool colors could be found intermittently in the lower 8% of frequency. When examining the color band, there was a general harmonious arrangement of colors centered on navy blue. As the results of conducting the experiment using two methods in this study, machine learning could classify colors into two or more classes, and could evaluate how close an image was with certain colors to a certain class. This method cannot be used if an image cannot be classified into a certain class. The result of such color distribution would serve as a reference when determining how close a certain color is to one of the two classes when the color is used as a dominant color in the base or background color of a certain design. Also, when dividing the analyzed images into several classes, even colors that have not been used in the analyzed image can be determined to find out how close they are to a certain class according to the color distribution properties of each class. Nevertheless, the results cannot be used to find out whether a specific color was used in the class and by how much it was used. To investigate such an issue, frequency analysis was conducted using KSCA. The color frequency could be measured within the range of images used in the experiment. The resulting values of color distribution and frequency from this study would serve as references for color planning of digital design regarding natural scenery in the geographic scope of Korea. Also, the two experiments are meaningful attempts for searching the methods for deriving colors that can be a useful reference among numerous images for content creator users of the relevant field.

• Journal of Yeungnam Medical Science
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• v.17 no.1
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• pp.75-81
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• 2000

Background: Systemic embolism, especially, cerebral infarction is one of the most important complications in patients with mitral stenosis. The authors analyzed the some factors that could predict the development of cerebral infarction in cases of mitral stenosis and propose preventive therapeutic measures. Methods: Retrospective study of 127 patients with rheumatic mitral stenosis was performed by analyzing their medical records for transthoracic(TTE) or transesophageal echocardiography(TEE) over a 12 months period. The patients were divided into two groups according to the presence (Group I: n=26, age: $55.0{\pm}13$ years) or absence (Group II: n=101, age: $48.5{\pm}13$ years) of cerebral infarction. No significant difference was observed between the two groups with respect to sex and functional class. Results: Patients in group I were older ($55.0{\pm}13$ vs $48.5{\pm}13$;p<0.05). had more dilated left atrial size($5.10{\pm}0.48$ vs $4.81{\pm}0.70$;p<0.05) and smaller mitral surface area($1.01{\pm}0.39$ vs $1.21{\pm}0.45$;p<0.05). In Group 1. the incidence of atrial fibrillation(22 out of 26 vs 57 out of 101;p<0.05) and spontaneous left intra-atrial contrast phenomenon(22 out of 26 vs 44 out of 101;p<0.05) was more frequently observed. On multivariate analysis. atrial fibrillation and anticoagulant therapy were the independent predictive factors. Conclusion: Age, left atrial dilatation, the severity of mitral stenosis, the presence of spontaneous contrast, and especially the presence of atrial fibrillation are the main predictive factors of the development of cerebral infarction in mitral stenosis. Patients presenting one or several of these factors may benefit from prophylactic anticoagulant treatment.

• Journal of Preventive Medicine and Public Health
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• v.11 no.1
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• pp.98-109
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• 1978

The study was carried out for 101 establishments in Kyong-In areas to evaluate the industrial health management status utilizing the scoring method by Webb's model during the period from 1 September to October 30, 1977. To compare the results, reevaluation was made with the 45 questions' model prepared by 6 Korean professionals who were specialized in industrial health fields. The results were as follows: 1. The mean rate of affirmative answers for 101 establishments was 51.6%. The mean weighted score rate of affirmative answers was 52.3%. 2. The mean rate of affirmative answers on components of the philosophy and facility resource for 101 establishments was higher than that of average rate. The mean rate of affirmative answers on components of the health evaluation and health management among the health service program was lower than that of average rate. 3. The mean rate of affirmative answers on components was highter among the establishments with more than 500 employees. The mean rate of affirmative answers of chemical establishment was lower than that of others. 4. The mean rate of affirmative answers on 45 questions' model for 101 establishments were 67.1%. The mean weighted score rate of affirmative answers was 70.0%. 5. In case of 45 questions' model, the mean rate of affirmative answers on components of philosophy and treatment was higher than that of average rate and the mean rate of affirmative answers on components of the facility resource and the health evaluation was lower than that of average rate. 6. The mean rate of affirmative answers of the 45 Questions' model was higher than that of Webb's model in size and class of 101 establishments. Author concluded that Webb's model must be suitable for evaluating higher conditions of occupational health management than is presently used in Korean establishments. According to the results, however, there were no significant differences between Webb's model and the 45 questions' model. So it could be used to evaluate Occupational Health Program. For this objective, in Korean occupational situations, further study also must be made comprehensively thereafter.

• The Journal of Korean Society for School & Community Health Education
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• v.17 no.1
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• pp.101-112
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• 2016

Objectives: The purpose of this study was to examine the association between participation in physical activities (PA) and subjective well-being. Methods: We analyzed the data from Korean Youth Risk Behavior Web-based Survey, 2013 containing 36,655 and 35,780 for male and female students respectively. Study variables included PA, participation in physical education class, participation in team sports and subjective well-being. Control variables were school type, socio-economic status, level of parent education, living with parent, academic performance, delinquent behaviors, depression and perceived health. For this study, descriptive analysis, Chi-square test, and multivariate logistic regression analysis were performed. Results: Among boys, after adjusting for control variables, PA (past 7 days 0 time reference group vs. over 4 times: OR 1.306), physical education class (past 7 days 0 time reference group vs. over 3 times: OR 1.140), and team sports (no team reference group vs. 2 team: OR 1.206) were associated with subjective well-being. Among girls, control variables were adjusted. PA (past 7 days 0 time reference group vs over 4 times: OR 1.244), physical education class (past 7 days 0 time reference group vs. over 3 times: OR 1.161), and team sports (no team reference group vs. 2 team: OR 1.181) were associated with subjective well-being. Conclusions: Participation in physical activities may help adolescent promote their life satisfaction. Thus, education experts should develop various exercise curriculums to encourage participation in physical activities.

• Journal of Biomedical Engineering Research
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• v.32 no.2
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• pp.134-143
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• 2011

The selection of meaningful clinical tests and its reference values from a high-dimensional clinical data with imbalanced class distribution, one class is represented by a large number of examples while the other is represented by only a few, is an important issue for differential diagnosis between similar diseases, but difficult. For this purpose, this study introduces methods based on the concepts of both discernibility matrix and function in rough set theory (RST) with two discretization approaches, equal width and frequency discretization. Here these discretization approaches are used to define the reference values for clinical tests, and the discernibility matrix and function are used to extract a subset of significant clinical tests from the translated nominal attribute values. To show its applicability in the differential diagnosis problem, we have applied it to extract the significant clinical tests and its reference values between normal (N = 351) and abnormal group (N = 101) with either cholecystitis or cholelithiasis disease. In addition, we investigated not only the selected significant clinical tests and the variations of its reference values, but also the average predictive accuracies on four evaluation criteria, i.e., accuracy, sensitivity, specificity, and geometric mean, during l0-fold cross validation. From the experimental results, we confirmed that two discretization approaches based rough set approximation methods with relative frequency give better results than those with absolute frequency, in the evaluation criteria (i.e., average geometric mean). Thus it shows that the prediction model using relative frequency can be used effectively in classification and prediction problems of the clinical data with imbalanced class distribution.

• Journal of Korean society of Dental Hygiene
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• v.12 no.1
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• pp.93-101
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• 2012

Objectives : The purpose of this study was to examine the educational effect of cooperative learning, which enables learners to make portfolio by taking advantage of their knowledge and skills acquired through practice, on an oral prophylaxis practice course in an attempt to stir up the spontaneous learning of learners, their learning interest and problem-solving skills. Methods : The selected dental hygiene students engaged in cooperative learning in oral prophylaxis practice III class in the second semester of their sophomore year by utilizing portfolio that was prepared by altering an inclusive dental hygiene practice model. They completed all the 15-week practice course, and then their portfolio was evaluated. They were divided into eight nonequivalent groups whose members were all different in academic standing, and their learning strategies and academic self-efficacy were checked before and after the instruction was provided. And their satisfaction with the class was investigated after the instruction was provided. Results : 1. There were significant gaps to $0.36{\pm}0.07$ in the charge of learning strategies after they engaged in cooperative learning(p<0.01). There were the broadest differences in cognitive strategies to 3.61, followed by metacognitive strategies to 3.19, and significant differences were found in all the subfactors(p<0.01). 2. There were significant gaps in the charge of self-efficancy to $0.13{\pm}0.06$ after they engaged in cooperative learning(p<0.01). There were the widest differences in self-regulating efficancy to 3.49, followed by confidence to 3.03 and task difficulty preference to 2.97, and significant differences were found in all the subfactors(p<0.01). 3. When their satisfaction level was analyzed after engaging in cooperative learning, there were significant gaps to 3.94 in the satisfaction level with all of the lectures(p<0.01). There were significant gaps in the satisfaction level with lecture to 4.20, with ensuring academic achievement to 4.13 and with cooperative learning to 3.48 (p<0.01). Conclusions : The above-mentioned findings indicated that cooperative learning had a positive impact on the learning strategies, academic self-efficacy and class satisfaction of the learners, and this study is expected to lay the foundation for the development of new teaching methods for dental hygiene.