• Journal of Technologic Dentistry
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• v.30 no.1
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• pp.121-130
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• 2008

The purpose of this research project is to assess students' stress during clinical rotations and to suggest strategies for enhancing professional skills as well as the quality of clinical rotations among the students of dental technology. The participants included 200 sophomores and juniors from dental laboratory college located in Daegu and Jeju. Data was collected December 7, 2007, and March 7, 2008, by survey samplings. A total of 185 completed surveys were obtained and analyzed for this study. Findings from the study are summarized below. When age and stress were compared, it was found that younger students had higher levels of stress related to their environment, role, and activities. Regarding grade level and stress, students in lower levels were slightly (p<.01) more likely to have stress (Sophomore =2.91, junior =2.49). When the stress level was compared with students' satisfaction with their major, the less students were satisfied, the higher their level of stress was. The study found a slight (p<.05) difference between groups [satisfaction group (M=2.44), group in between satisfaction and dissatisfaction (M=2.58), and dissatisfaction (M=2.82)) in the relationship between satisfaction with the major and overall stress. Again, it appears that stress levels increase as satisfaction with the chosen major decreases. Third, the intensity of stress was affected by the environment in which students practiced, classmate relationships, roles, goals and values, and activities, and areas of performance. It showed that the groups unsatisfied and in-between with the quality of practice have more intensified stress than the group with satisfaction. The study showed a slight (p<.01) difference amongst groups [(satisfaction group (M=2.17), group in between satisfaction and dissatisfaction (M=2.68), and dissatisfaction (M=2.96)) in the relationship between satisfaction with the quality of the clinical rotation and overall stress. It appeared that higher levels of stress were seen with lower satisfaction with the major. Overall, students' level of stress was correlated with age and grade level, level of satisfaction in the major and the quality of the clinical rotation. Furthermore, schools need to focus on improving the environment where students practice, classmate relationships, roles, goals and values, and activities, and areas of performance. Dental laboratory colleges should concentrate on the basic case with the quality of clinical rotation and the chosen major. More skillful teaching and properly assigned clinical rotations and classes, along with a strong practical knowledge base applicable to clinical rotations will be needed in order to address these sources of dissatisfaction.

• Korean Journal of Adult Nursing
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• v.13 no.2
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• pp.291-304
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• 2001

The purpose of this study was to develop Intensive Care Unit (ICU) admission and discharge criteria that would lead to the appropriate utilization of ICU resources and nursing services. For this study, a conceptual framework was developed through a review of the literature. Then in order to identify the overall health condition of patients in the ICU, and to draw up preliminary criteria, the medical records of 58 patients who were admitted to the ICU of Y Medical Center in Seoul between March, 1999 to February, 2000 of were analyzed. Two expert validity tests were done for the preliminary criteria for admission and discharge with 21 patients over 18 years of age who were admitted patients and for 12 patients who were discharged between May 30, 2000 and June 5, 2000 a clinical validity test was also done. After this process, the final admission and discharge criteria were developed. The results of this study are summarized as follows: 1. After a review of the literature, there were 9 categories for admission criteria cardiologic, gastrointestinal, neurologic, endocrine, post-op care of major surgery, vital signs, laboratory values, and a category of miscellaneous items. Discharge criteria had 3 categories which were vital signs, laboratory values, and a category of miscellaneous items. 2. From the medical records of the 58 patients who were admitted to the ICU, 45 items for preliminary criteria for admission and 17 for discharge were identified. 3. The two expert validity tests showed that of the 45 items 29 admission items received over 75 percent agreement. The 16 admission items which received less than 75 percent agreement were revised or deleted from the admission criteria. Of the 17 discharge items, 11 had over 75 percent agreement and 6 less then 75 percent agreement. These were revised or deleted from the discharge criteria. 4. In the clinical validity test, 14 admission items showed more than 75 percent agreement and 11 discharge items more than 83 percent agreement. 5. The final criteria consisted of 29 items for admission and 11 items for discharge. Since patients being considered for admission to the ICU have complex problems, there is a need to make the decision based on more than a single issue. This tool will insure that the ICU nursing care and treatment resources are appropriately used by allowing a multi-professional health team to make admission and discharge decisions.

• Education of Primary School Mathematics
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• v.20 no.4
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• pp.253-266
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• 2017

The purpose of the study was to investigate the perceptions of Elementary school teachers on mathematics instruction. To do this, 7 test items were developed to obtain data on teacher's perception of mathematics instruction and 73 teachers who take mathematical lesson analysis lectures were selected and conducted a survey. Since the data obtained are all qualitative data, they were analyzed through coding and similar responses were grouped into the same category. As a result of the survey, several facts were found as follow; First, When teachers thought about 'mathematics', the first words that come to mind were 'calculation', 'difficult', and 'logic'. It is necessary for the teacher to have positive thoughts on mathematics and mathematics learning, and this needs to be stressed enough in teacher education and teacher retraining. Second, the reason why mathematics is an important subject is 'because it is related to the real life', followed by 'because it gives rise to logical thinking ability' and 'because it gives rise to mathematical thinking ability'. These ideas are related to the cultivating mind value and the practical value of mathematics. In order for students to understand the various values of mathematics, teachers must understand the various values of mathematics. Third, the responses for reasons why elementary school students hate mathematics and are hard are because teachers demand 'thinking', 'because they repeat simple calculations', 'children hate complicated things', 'bother', 'Because mathematics itself is difficult', 'the level of curriculum and textbooks is high', and 'the amount of time and activity is too much'. These problems are likely to be improved by the implementation of revised 2015 national curriculum that emphasize core competence and process-based evaluation including mathematical processes. Fourth, the most common reason for failing elementary school mathematics instruction was 'because the process was difficult' and 'because of the results-based evaluation'. In addition, 'Results-oriented evaluation,' 'iterative calculation,' 'infused education,' 'failure to consider the level difference,' 'lack of conceptual and principle-centered education' were mentioned as a failure factor. Most of these factors can be changed by improving and changing teachers' teaching practice. Fifth, the responses for what does a desirable mathematics instruction look like are 'classroom related to real life', 'easy and fun mathematics lessons', 'class emphasizing understanding of principle', etc. Therefore, it is necessary to deeply deal with the related contents in the training courses for the improvement of the teachers' teaching practice, and it is necessary to support not only the one-time training but also the continuous professional development of teachers.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.59-68
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• 2019

To continue the growth of use of 5-star hotels by Koreans, who have recently shown the consumption trends pursuing the empirical value of a consumption process, and have turned into core customers of 5-star hotels in Seoul, it is necessary to study factors of experience value pursued by Koreans. As a result, fantasy is identified as a major leading factor in usage satisfaction among experiencial values. So it is important to reflect special concepts and atmospheres for emotional values, such as other world experience, new experience, and high-quality experience. And consumer return on investment was identified as a leading factor in positively affecting usage satisfaction. So it is important to develope a proper products that can enough benefits with reasonable prices. In the relationship between usage satisfaction and continuous usage intention, gender characteristics and occupational characteristics were found to play a moderating role. Male customers, and those with professional and self-employed occupations, were found to have higher continuous usage intention than females and other occupational customers. This is a result of the fact that customers with an economical power are likely to be continuous repeat customers of 5-star hotels, so the necessity of strengthening marketing activities such as research on the development of more differentiated and specialized products, service creation and atmosphere production for excellent consumers group.

• Journal of Korean Library and Information Science Society
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• v.51 no.4
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• pp.59-81
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• 2020

The purpose of this study is to compare and analyze the trend of reading research in Korea's LIS Fields in the past 20 years, divided into the 2000s and 2010s, by establishing a keyword network. To achieve this purpose, keywords were extracted from 489 related articles in the four major journals in the LIS field sourced from the Korean Journal Citation Index (KCI) and then analyzed using NetMiner4. The results of the study were as follows: First, in the case of the 2000s, 'Public Library', 'Bibliotherapy', 'Reading Education', and 'School Library' showed high values of Frequency Analysis, Degree Centrality, and Betweenness Centrality. In the 2010s, 'Reading Education', 'School Library', 'Children', 'Adolescents', and 'Public Library' showed high values of the aforementioned measures. Second, in the 2000s, the establishment of library infrastructure for reading and reading education, the improvement of policies and systems, and reading research through the reading movement were actively conducted. In the 2010s, based on the work and research done in the 2000s, customized user reading studies and various detailed reading research were conducted. Third, to meet the demands of the times for the restoration of humanity with creativity and imagination in the Fourth Industrial Revolution, reading research and professional in-depth research should be conducted in various environments beyond public and school libraries and interdisciplinary research and active joint research between the field and academia are needed.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.79-108
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• 2021

Information retrieval in the health field has several challenges. Health information terminology is difficult for consumers (laypeople) to understand. Formulating a query with professional terms is not easy for consumers because health-related terms are more familiar to health professionals. If health terms related to a query are automatically added, it would help consumers to find relevant information. The proposed query expansion (QE) models show how to expand a query using MeSH terms. The documents were represented by MeSH terms (i.e. Bag-of-MeSH), found in the full-text articles. And then the MeSH terms were used to generate LDA (Latent Dirichlet Analysis) topic models. A query and the top k retrieved documents were used to find MeSH terms as topic words related to the query. LDA topic words were filtered by threshold values of topic probability (TP) and word probability (WP). Threshold values were effective in an LDA model with a specific number of topics to increase IR performance in terms of infAP (inferred Average Precision) and infNDCG (inferred Normalized Discounted Cumulative Gain), which are common IR metrics for large data collections with incomplete judgments. The top k words were chosen by the word score based on (TP *WP) and retrieved document ranking in an LDA model with specific thresholds. The QE model with specific thresholds for TP and WP showed improved mean infAP and infNDCG scores in an LDA model, comparing with the baseline result.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.299-309
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• 2019

The purpose of this study was to investigate about student's experiences in occupational therapy through clinical fieldwork, such as the change in perception of occupational therapy, the stress that students experience, and the satisfaction of clinical fieldwork. We conducted a focus group interview with 10 participants to see what they experienced during the clinical fieldwork. The contents of the interview were recorded and conducted, and the meaning was analyzed according to the focus group interview procedure through repeated listening. Components were psychological experience, professional experience, environmental experience, changes of values, and behavioral changes. In psychological experience, he experienced anxiety and burden. Experiential experience was the connection of theory and clinical experience and realization of major knowledge. In the environmental experience, we experienced clinical guidance management system, and the change of values experienced change of perception of occupational therapy and change of perception of disabled person. Finally, behavioral changes have experienced an active response through clinical practice experience. Clinical fieldwork is a basic element that prepares students to become occupational therapists. It affects the role of occupational therapist and perception performance through various experiences in new environment. It is thought that the efforts of the institution are needed. The results of this study will help occupational therapists to direct clinical fieldwork in the right direction in clinical fieldwork.

• Journal of Christian Education in Korea
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• v.78
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• pp.153-189
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• 2024

This study sought to find the characteristics of the Protestant faith that emerged during the early missionary work of Korean Protestants in the Andong region of Gyeongsang Province, where Confucianism was developed. In the early days of Korean Protestantism (1905-1935), it focused on the life and lifestyle of Elder Lee Sang-dong, a nobleman with a background in Toegye Confucianism, who converted from Confucianism. Elder Sang-dong Lee's life and journey of faith can be illuminated and the implications can be connected through the theology of the faith community by Christian education scholar J. h. Westerhoff III. Westerhoff viewed Christian education as forming the values and worldview of individuals in the community while the faith community adapts to society and culture. Westerhoff's view of Christian education is that these values appear as a way of life within social and cultural processes, and this life helps to reveal various aspects of life based on different environments. As Sang-dong Lee began reading the Bible, he came to believe in Jesus and accepted the worldview of the Bible. The values o f the Bible accepted in this way opened up a world view shown by the Christian Bible rather than Confucian Toegye Neo-Confucianism in the encounter between Confucianism in the late Joseon Dynasty and early Protestant church history. Thus, he lived the lifestyle of a believer who put the words of the Bible into practice in the life of a Confucianism nobleman. He founded the Posan-dong Church and started a church with a martyrdom faith community. He was the first in Andong to sing the March 1st Independence Movement on his own, advocated the Korean Independence Movement, liberated slaves and demonstrated the equality movement, and established new education at DeoksinSeosuk. By implementing it, it faithfully fulfilled its role as a teacher of the enlightenment movement and catechesis. In the early days of Korean Protestantism, Lee Sang-dong, a layman who held the office of elder rather than a minister in an institutional church, is a practical example of the values and lifestyle shown through the encounter between Confucianism and Protestantism in the Andong region, the stronghold of Confucianism. It can be seen as providing deep insight in modern church history and from the perspective of Christian education.

• Journal of the Korean Institute of Gas
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• v.5 no.4 s.16
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• pp.1-7
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• 2001

This paper presents a 'consequence analysis' for vapor cloud explosions caused by heavy gas leakages from commercially used storage tanks at petrochemical plants. Particularly, this paper emphasizes on evaluating the results of various vapor cloud explosion accidents from Butane storage tanks. Also this paper analyses the impact of variables on the accidents in order to acquire the optimum conditions for variables. $SuperChems^{TM}$ Professional Edition was applied to analyse the impact (If atmospheric and other variables in the situation where vapor cloud continuously disperses from the ground level. Under the assumption that practical operating conditions are selected as a standard condition, and Butane leaks from the storage tank for 15 minutes, the results show that the maximum distance of LFL (Lower Flammable Limit) was 52 meters and overpressure by the vapor cloud explosion was 1 psi at 128.2 meters. It is observed that the impact of the variables on accidental Butane storage tank leakage mainly varied upon atmospheric stability, wind velocity, pipe line size, visible length, etc., and changes in the simulation result occurred as the variables varied. The maximum distance of the LFL (Lower Flammable Limit) increased as the visible length became shorter, the size of the leak became larger, the wind velocity was decreased, and the climatic conditions became more stable. Thus, by analysing the variables that influence the simulation results of explosions of Butane storage tanks containing heavy gases, I am presenting the most appropriate method for 'consequence analysis' and the selection of standards for suitable values of variables, to obtain the most optimal conditions for the best results.

• Asia pacific journal of information systems
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• v.19 no.2
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• pp.157-178
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• 2009

Corporate credit rating is a very important factor in the market for corporate debt. Information concerning corporate operations is often disseminated to market participants through the changes in credit ratings that are published by professional rating agencies, such as Standard and Poor's (S&P) and Moody's Investor Service. Since these agencies generally require a large fee for the service, and the periodically provided ratings sometimes do not reflect the default risk of the company at the time, it may be advantageous for bond-market participants to be able to classify credit ratings before the agencies actually publish them. As a result, it is very important for companies (especially, financial companies) to develop a proper model of credit rating. From a technical perspective, the credit rating constitutes a typical, multiclass, classification problem because rating agencies generally have ten or more categories of ratings. For example, S&P's ratings range from AAA for the highest-quality bonds to D for the lowest-quality bonds. The professional rating agencies emphasize the importance of analysts' subjective judgments in the determination of credit ratings. However, in practice, a mathematical model that uses the financial variables of companies plays an important role in determining credit ratings, since it is convenient to apply and cost efficient. These financial variables include the ratios that represent a company's leverage status, liquidity status, and profitability status. Several statistical and artificial intelligence (AI) techniques have been applied as tools for predicting credit ratings. Among them, artificial neural networks are most prevalent in the area of finance because of their broad applicability to many business problems and their preeminent ability to adapt. However, artificial neural networks also have many defects, including the difficulty in determining the values of the control parameters and the number of processing elements in the layer as well as the risk of over-fitting. Of late, because of their robustness and high accuracy, support vector machines (SVMs) have become popular as a solution for problems with generating accurate prediction. An SVM's solution may be globally optimal because SVMs seek to minimize structural risk. On the other hand, artificial neural network models may tend to find locally optimal solutions because they seek to minimize empirical risk. In addition, no parameters need to be tuned in SVMs, barring the upper bound for non-separable cases in linear SVMs. Since SVMs were originally devised for binary classification, however they are not intrinsically geared for multiclass classifications as in credit ratings. Thus, researchers have tried to extend the original SVM to multiclass classification. Hitherto, a variety of techniques to extend standard SVMs to multiclass SVMs (MSVMs) has been proposed in the literature Only a few types of MSVM are, however, tested using prior studies that apply MSVMs to credit ratings studies. In this study, we examined six different techniques of MSVMs: (1) One-Against-One, (2) One-Against-AIL (3) DAGSVM, (4) ECOC, (5) Method of Weston and Watkins, and (6) Method of Crammer and Singer. In addition, we examined the prediction accuracy of some modified version of conventional MSVM techniques. To find the most appropriate technique of MSVMs for corporate bond rating, we applied all the techniques of MSVMs to a real-world case of credit rating in Korea. The best application is in corporate bond rating, which is the most frequently studied area of credit rating for specific debt issues or other financial obligations. For our study the research data were collected from National Information and Credit Evaluation, Inc., a major bond-rating company in Korea. The data set is comprised of the bond-ratings for the year 2002 and various financial variables for 1,295 companies from the manufacturing industry in Korea. We compared the results of these techniques with one another, and with those of traditional methods for credit ratings, such as multiple discriminant analysis (MDA), multinomial logistic regression (MLOGIT), and artificial neural networks (ANNs). As a result, we found that DAGSVM with an ordered list was the best approach for the prediction of bond rating. In addition, we found that the modified version of ECOC approach can yield higher prediction accuracy for the cases showing clear patterns.