• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.586-586
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• 1995

• Korean Medical Education Review
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• v.24 no.2
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• pp.156-171
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• 2022

The purpose of this study was to establish a model for constructing longitudinal data for medical school, and to structure cohort and longitudinal data using data from Yonsei University College of Medicine (YUCM) according to the established input-environment-output (I-E-O) model. The study was conducted according to the following procedure. First, the data that YUCM has collected was reviewed through data analysis and interviews with the person in charge of each questionnaire. Second, the opinions of experts on the validity of the I-E-O model were collected through the first expert consultation, and as a result, a model was established for each stage of medical education based on the I-E-O model. Finally, in order to further materialize and refine the previously established model for each stage of medical education, secondary expert consultation was conducted. As a result, the survey areas and time period for collecting longitudinal data were organized according to the model for each stage of medical education, and an example of the YUCM cohort constructed according to the established model for each stage of medical education was presented. The results derived from this study constitute a basic step toward building data from universities in longitudinal form, and if longitudinal data are actually constructed through this method, they could be used as an important basis for determining major policies or reorganizing the curricula of universities. These research results have implications in terms of the management and utilization of existing survey data, the composition of cohorts, and longitudinal studies for many medical schools that are conducting surveys in various areas targeting students, such as lecture evaluation and satisfaction surveys.

• Journal of the Korean Mathematical Society
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• v.44 no.3
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• pp.525-539
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• 2007

Consider the regression model $Y_i=g(x_i)+e_i\;for\;i=1,\;2,\;{\ldots},\;n$, where: (1) $x_i$ are fixed design points, (2) $e_i$ are independent random errors with mean zero, (3) g($\cdot$) is unknown regression function defined on [0, 1]. Under $Y_i$ are censored randomly, we discuss the asymptotic normality of the weighted kernel estimators of g when the censored distribution function is known or unknown.

• Korea Science and Art Forum
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• v.30
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• pp.217-230
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• 2017

The purpose of this study is to develop a theoretical model identifying how consumers accept a fashionable technology product. A systematic review of 39 influential TAM studies focusing on theory development in the context of information technology results in three tendencies, which become backbone of the model of fashionable technology acceptance. A subsequent review of the nature of fashion fleshes out the backbone with detailed propositions in the more specific context of fashionable technology. The model of fashionable technology acceptance includes key propositions of Theory of Reasoned Action, in which internal beliefs consist of functional, aesthetic and symbolic values, and other factors, such as technology features (i.e., hardware specification, software specification, brand, and price factors), environmental conditions (i.e., technical infrastructure and user occasion), individual differences (i.e., age, gender, experience, personality, aesthetic sense, fashion innovativeness, and income), and social influence (i.e., subjective norms, social reputation, and cultural difference). Implications, limitations, and suggestions for future research are also discussed.

• Journal of the East Asian Society of Dietary Life
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• v.9 no.4
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• pp.427-434
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• 1999

This study was conducted to investigate the effects of vitamin I supplementation on renal function in high fat diet and adriamycin (ADR) induced experimental nephrotic syndrome in model rats. The effects of vitamin E supplementation on renal function in high fat diet and ADR treated rats were as follows. Kidney weight was decreased by vitamin E supplementation. Serum total protein was increased by the excess supplementation. Blood urea nitrogen(BUN) was decreased by the high supplementation. However, serum albumin and creatinine showed no significant differences between groups. Urinary volume tended to increase by vitamin I supplementation. Urinary urea-N tended by vitamin I supplementation. Particularly glomerular filtration rate(GFR) was significantly decreased by vitamin E supplementation. These results suggested that vitamin E supplementation could alleviate the adverse effects caused in renal function by highfatdiet and ADR treatments.

• Korean Journal of Computational Design and Engineering
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• v.5 no.2
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• pp.175-183
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• 2000

Proposed in this paper is a model-bated AFA (automatic feedrate-adjustment) method for maintaining smooth cutting-loads (i.e., cutting-force) during 2D-profile milling. Before the cutting-force model was established, some assumptions were verified through a series of preliminary cutting experiments (The results found that the curving-force was independent of the cutting speed and the cutting action at the cutter bosom). From the data obtained during the main cutting experiments, a “chip-load/cutting-force model”representing the cutting-force as a function of the chip-load (i.e., effective cutting-depth) and a feedrate is proposed. Based on the model. an AFA scheme for maintaining smooth cutting-force by adjusting the feedrate (i.e., F-code) according to the changes in chip-load was proposed. To check the validity of the proposed AFA scheme. another set of cutting experiments was conducted by using feedrate-adjusted NC-data while monitoring the actual machining processes using an accelerometer. The experimental results showed that the proposed AFA-scheme was quite effective.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.273-281
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• 2009

The gap(P-E)-model is based on the disconfirmation paradigm that tries to under stand the effect of the gap between before purchase expectations and after purchase perceptions of the product performance on dependent variables such as customer satis-faction. But Bhote proposed multiply($I{\times}P$)-model instead of gap(P-E)-model in 1998. This paper is focused on Bhote's multiply($I{\times}P$)-model in food service industry. The purpose of this research is to test whether DINESERV's 5-dimensions by multiply($I{\times}P$) model fits in explaining satisfaction, revisit intention and customer loyalty. The F-value of regression model was used to test the fitness of regression model of the multiply($I{\times}P$)-model. Through analysis, it was found that the multiply($I{\times}P$)-model fits.

• Nutrition Research and Practice
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• v.16 no.2
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• pp.205-216
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• 2022

BACKGROUND/OBJECTIVES: While many obesity studies have pointed out the importance of meal regularity, few have conducted empirical analyses using data from food diaries. We examined the association between meal regularity (i.e., meal time regularity [MTR] and calorie intake regularity [CIR]) and weight loss. SUBJECTS/METHODS: We collected food diary data from 637 women who had participated in commercial weight loss programs for 28-168 days (4-24 weeks). This study defined "meal regularity" in terms of two concepts: MTR and CIR. MTR refers to how regularly people eat their meals (i.e., at certain times each day), whereas CIR refers to how regularly people consume a certain amount of calories at each meal. We conducted multiple regression analyses. RESULTS: MTR (model 1: β = -2,576.526, P < 0.001; model 2: β = -1511.447, P < 0.05; model 3: β = -1,721.428, P < 0.05) and CIR (model 1: β = -1,231.551, P < 0.01; model 2: β = -2,082.353, P < 0.001; model 3: β = -1,343.490, P < 0.01) turned out to be significant determinants of the amount of weight loss in breakfast, lunch, and dinner contexts. While meal regularity (i.e., MTR and CIR) was significantly associated with weight loss, daily calorie intake from meals was not significantly associated with the amount of weight loss (model 1: β = 0.13, P > 0.05; model 2: β = 0.11, P > 0.05; model 3: β = 0.14, P > 0.05). Subjects who consumed an equal amount of calories per meal throughout the day lost more weight than those who did not (model 4: β = -3,675.51, P < 0.001). CONCLUSIONS: Eating each meal (i.e., breakfast, lunch, and dinner) at a certain time every day may increase weight loss success. Also, consuming the same amount of calories at each meal may help weight loss success.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.133-140
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• 2018

In this study, a correlation between execution of quality management activities and their results was verified by applying the Malcolm Baldrige model (hereafter referred to as the MB model) as a quality management performance measurement indicator for small and medium enterprises (SMEs) in South Korea. To achieve this goal, we need to determine whether the categorical requirements in the MB model are recognized consistently in SMEs, as a prerequisite. To this end, factor analysis was conducted for measurement variables in each category, which revealed that the process indicator was made up of six factors and the outcome indicator was made up of five factors, like those configured in the MB model. This result can be interpreted to mean that the requirements in each category of the MB model were well produced and recognized consistently throughout SMEs in South Korea. In addition, the analysis of causality between the process indicator (quality management activities) and the outcome indicator (management results) showed high causality between them. Although the quality management levels of SMEs in South Korea are inferior to those of conglomerates or other national quality award-winning companies, this study is significant in that the causality between quality management activities and results was verified, since this study targeted SMEs in South Korea as the target of investigation. Thus, it is empirically proven that the MB model can contribute to improved management results for SMEs in Korea.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.175-196
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• 2012

Compared to the wide spread of convergence in government and industries there are still lack of theoretical foundation and effective methodologies to successfully implement it. Especially, there are few remarkable results on the ideal types of convergence business model (BM) in both domestic and foreign researchers. In this paper we show theoretical types, strategic alternatives, and design steps of convergence BM could be developed based on '4WH1H model' which is a conceptual framework of a BM. 4W1H model includes 5 constituents of a BM, i. e., customer value, value proposition, operation, target market, and supply capability. We derive 5 theoretical types of convergence BMs depending on the focus of innovation, i.e., value, product, operation, market, and capability. After defining the constituents and types (i.e., structural aspects) of convergence BM, we also show a BM could be linked with business strategy by defining the interaction among 5 constituents (i.e., behavioral aspects) of convergence BM.