• Journal of Korean Academy of Nursing
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• v.36 no.1
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• pp.74-83
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• 2006

Purpose: The purpose of this study was to develop an evaluation instrument integrated and interdisciplinary death education for the human service areas such as nursing, social welfare, and education and to test the reliability and validity of it. Method: The subjects used to verify the instrument's reliability and validity were 407 students who were enrolled in the departments of nursing, social welfare, and education in universities located in Seoul, Pusan, Daegu, and Daejeon. The data was collected from April to May, 2005, and was analyzed by SPSS/WIN 12. Result: A factor analysis was conducted. Items with over a .40 factor loading and over a 1.0 eigen value were selected. Nine identified factors were learning about death, role of professionals, personal attitudes, hospice care, ethics and legal issues, death and dying, spiritual aspect of' death, transcultural aspect of death, and multidisciplinary theory of death. The instrument consisted of 44 items and the reliability was a cronbach's of .953 Conclusion: Based on the study results, the content scale developed in this study was identified as a tool with a high degree of reliability and validity.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.1
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• pp.131-148
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• 2008

Today, it is not difficult to use information technology (IT), especially, Internet based ones. Many people can not only access IT without learning how to use it but also find and develop new techniques and usages which couldn't be expected by system engineers or designers. This is owing to social interactions among users as well as advancement of IT. Theoretically, such social interactions in using IT can be well explained by adaptive structuration theory (AST) which has been considered as one of trying to capture the change of using IT due to social interactions between users and system. This study is to analyze the relationship between social interactions and motivation in using IT which can determine attitude and intention of using IT. For this purpose we provide a research model, in which two AST related variables, faithfulness of appropriation and consensus on appropriation, are independent variables and three beliefs for using IT, usefulness, ease of use and playfulness, are dependent ones. Additionally, for reflection of changing uses, usefulness is formed as second order factor by two first order factors-usefulness of self-expression and communication. An empirical test of our model for blog users which is analyzed by Partial Least Square method shows supporting most of hypotheses except one, consensus-ease of use.

• Korean Journal of Artificial Intelligence
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• v.6 no.2
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• pp.11-15
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• 2018

Breast cancer is one of the leading causes of cancer related death among women. So prediction of overall survival status is important into decided in adjuvant treatment. Deep belief network is a kind of artificial intelligence (AI). We intended to construct prediction model by deep belief network using associated clinicopathologic factors. 103881 cases were found in the Korean Breast Cancer Registry. After preprocessing of data, a total of 15733 cases were enrolled in this study. The median follow-up period was 82.4 months. In univariate analysis for overall survival (OS), the patients with advanced AJCC stage showed relatively high HR (HR=1.216 95% CI: 0.011-289.331, p=0.001). Based on results of univariate and multivariate analysis, input variables for learning model included 17 variables associated with overall survival rate. output was presented in one of two states: event or cencored. Individual sensitivity of training set and test set for predicting overall survival status were 89.6% and 91.2% respectively. And specificity of that were 49.4% and 48.9% respectively. So the accuracy of our study for predicting overall survival status was 82.78%. Prediction model based on Deep belief network appears to be effective in predicting overall survival status and, in particular, is expected to be applicable to decide on adjuvant treatment after surgical treatment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.6
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• pp.1476-1481
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• 2010

Cyber education community in the digital era is going on across all areas of knowledge accumulation rate of acceleration of the demand for retraining and lifelong learning can effectively accommodate. Therefore, new teaching methods in the future as consumer-driven 21st century is expected to settle into the main education system. However, to properly interact with people due to lack of feedback delay, reading and writing intensive courses is detrimental to the environment caused by a particular student, and Computer skills are based on computer-related technology to disadvantage poor students, and many have problems. In this paper, recent university education and cyber education requires a paradigm shift is required in an environment that factors affecting students' satisfaction were evaluated, and Improvement of cyber education will be studied.

• IE interfaces
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• v.22 no.3
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• pp.252-262
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• 2009

It is crucial to prevent low yields in the semiconductor industry. Since many factors affect variation in yield and they are deeply related, preventing low yield is difficult. There have been substantial researches in the field of yield prediction. Many researchers had used the statistical methods. Many studies have shown that artificial neural network (ANN) achieved better performance than traditional statistical methods. However, despite ANN's superior performance some problems such as over-fitting and poor explanatory power arise. In order to overcome these limitations, a relatively new machine learning technique, support vector machine (SVM), is introduced to classify the yield. SVM is simple enough to be analyzed mathematically, and it leads to high performances in practical applications. This study presents a new efficient classification methodology, Stepwise-SVM (SSVM), for detecting high and low yields. SSVM is step-by-step adjustment of parameters to be precisely the classification for actual high and low yield lot. The objective of this paper is to examine the feasibility of SVM and SSVM in the yield classification. The experimental results show that SVM and SSVM provides a promising alternative to yield classification for the field data.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.453-462
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• 2020

The research postulates the conceptualization of talent in the Vietnamese banking sector via examining the factors pertaining to the concept of talent and talent management (TM) in the sector. This study applied qualitative research methods. A total of 20 managers and directors of ten banks (three public, four private and three foreign banks) were recruited for semi-structured interviews. The findings revealed that a combination of interconnected soft skills, learning ability, flexibility, technology adaptability, integrity and risk management skills contributes to talent identification. Managers in some private banks construed talent to be commensurate with high performance and high potential, whereas managers in public banks and foreign banks mainly relied on performance results in talent recognition. Moreover, talented employees holding sales-related jobs are given the most attention by management in the studied banks. Regarding practical implications, the banking community and practitioners' focus should be imparted to soft skills development and integrity control in order to foster employee performance and attitudes. Attention should be paid not only to sales positions, but also to other positions within the bank. This study is one of a few which explores talent concepts and TM approaches in the banking sector in general and Vietnamese banking field in particular.

• International Journal of Contents
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• v.16 no.3
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• pp.101-110
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• 2020

Problem solving in real life is a core competency commonly adopted in several subjects recently. The real-world problems were rarely resolved with only one domain of knowledge. Thus, convergence education is becoming a trend in many countries. As on-line education is revitalized because of COVID-19, the need for changes to STEAM education is emerging. In December 2019, the on-line education systems quickly settled in schools because of COVID-19. During the first semester of 2020, most school education was conducted as virtual/distance learning classes. It is necessary to analyze how much technology has been used in the STEAM classes in Korea. This paper analyzes the research papers related to the STEAM education in Korea conducted in the last 10 years. By doing this, we analyze what kind of edutechs we were interested in, what kind of STEAM education actually occurred, and to whom it was conducted. The previous research papers analyzed in this paper are the papers in the Korea Citation Index accredited journals and candidate journals. Finally, this paper proposes educational changing factors to be considered for future technology-based STEAM education.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.225-235
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• 2006

Not a few nations have tried to copy the success of Silicon Valley since 1980's. Research of information communication industry cluster has emerged in Korea since 1990. In this background this paper thoroughly reviewed scholarly literature related to industry cluster with an attempt to extract dominant factors for cluster formation, and designed a survey instrument to measure the status-quo of cluster formation of software industry in Chungbuk Province Korea, as an example. Based on the results from statistical analysis a strategic scheme was proposed to propel software industry cluster formation in the region.

• Korean Journal of Community Nutrition
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• v.9 no.4
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• pp.511-518
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• 2004

This study was designed to compare general characteristics and dietary habits between volunteers for a nutrition survey and non-volunteers using a questionnaire. Volunteers were recruited by advertising on the homepage of a university to assess nutritional status by examining dietary intake for three days and blood analysis. Non-volunteers were selected from some classes not related to nutrition. There were no significant differences in sex, monthly allowances, eating-out cost, drinking and exercise between the two groups, while the proportion of self-boarding was higher in the volunteer group than in the non-volunteer group, and smoking rate of volunteers was approximately 2.4 times lower than that of non-volunteers. Volunteers were less concerned about their diet than non-volunteers. No significant differences in concern about health, considering factors in their diet, self-evaluation of their diet, learning experience about nutrition, and vitamin/mineral supplement use were observed. The frequency and the place of eating-out for dinner were significantly different between the two groups. More proportions of volunteers tended to eat regularly and eat breakfast. Volunteers consumed seaweeds more frequently, and milk, fruits and fast foods less frequently than non-volunteers. Our results indicate that some characteristics and dietary habits of volunteers are different from those of non-volunteers. However, we could not show that volunteers were more interested in their diet and had desirable dietary habits than non-volunteers. Further research on the characteristics of volunteers who participate in nutrition survey may be helpful to interpret and generalize the survey results.

• Journal of the Korea Furniture Society
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• v.28 no.3
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• pp.185-197
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• 2017

With the advent of industrial society, the phenomenon of nuclear families has brought many changes in the family environment. Of changes, a decrease in the number of new-born babies led to one-child families, which then led to an increase in interest in children. Interest in children gave birth to a consumptive trend called "kids marketing," and phenomena of generous investment and consumption for children appear to continue to the future. In reality, too, the consumer market of children's apparel and learning materials for children has sharply increased over the past few years, and products related to children have become the center of family consumptions. Therefore, at this point when children are the center of consumptive life in the family and the relationship between products and users is becoming an increasingly more important variable, the conductive research focusing on children is necessary. These important factors embraced wide areas of activities in research on children, from children's physical changes, children's preference, such as color and material, to children's consumptive environment, as they can provide a foundation for furniture design suitable for children.