• Proceedings of the Korean System Dynamics Society
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• 2002.02a
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• pp.19-40
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• 2002

The intent of this study is to develop system dynamics model for assessment of organizational and human factors in nuclear power plant which can contribute to secure the nuclear safety. Previous studies are classified into two major approaches. One is engineering approach such as ergonomics and probability safety assessment(PSA). The other is social science approach such like sociology, organization theory and psychology. Both have contributed to find organization and human factors and to present guideline to lessen human error in NPP. But, since these methodologies assume that relationship among factors is independent they don't explain the interactions among factors or variables in NPP. To overcome these limits, we have developed system dynamics model which can show cause and effect among factors and quantify organizational and human factors. The model we developed is composed of 16 functions of job process in nuclear power, and shows interactions among various factors which affects employees' productivity and job quality. Handling variables such like degree of leadership, adjustment of number of employee, and workload in each department, users can simulate various situations in nuclear power plant in the organization side. Through simulation, user can get insight to improve safety in plants and to find managerial tools in the organization and human side. Analyzing pattern of variables, users can get knowledge of their organization structure, and understand stands of other departments or employees. Ultimately they can build learning organization to secure optimal safety in nuclear power plant.

• Journal of Physiology & Pathology in Korean Medicine
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• v.24 no.3
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• pp.380-384
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• 2010

The present paper attempts to investigate the factors which may affect the attitude toward Oriental Medicine among the university students in Korea and China. The research on determining factors that may influence the attitude toward the Oriental Medicine can provide the answers for the question how the traditional things can acquire their present position and make a development in modern society. The East Asian countries such as Korea and China have promoted the western-style changes and development, thinking that modernization means the westernization. Given this, the research on the attitude toward Oriental Medicine can be a good case study that shows how tradition sustains its place and develops. The present study makes two hypotheses in order to analyze the factors which make the influence on the attitude toward the Oriental Medicine: Hypothesis there will be no significant difference between the socio-demographic variables and attitude toward Oriental Medicine. Hypothesis there will be significant differences between traditionalism, modernity, nationalism, and attitude toward Oriental Medicine. The statistical results show that hypothesis 1 was confirmed in the case of the gender of the participants, whereas it was not confirmed in the case of the birthplace, economic status, and nationality. And hypothesis 2 was not confirmed in the relations between nationalism and modernity and the attitude toward Oriental Medicine, whereas it was confirmed in the relations between traditionalism and the traditional medical concept and attitude toward Oriental Medicine.

• Journal of Korean Academy of Nursing
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• v.47 no.6
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• pp.806-816
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• 2017

Purpose: As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis. Methods: The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword 'comprehensive nursing care service' using Python. A morphological analysis was performed using KoNLPy. Nodes on a 'comprehensive nursing care service' cluster were selected, and frequency, edge weight, and degree centrality were calculated and visualized with Gephi for the semantic network. Results: A total of 536 news pages and 464 tweets were analyzed. In the KNA News and major daily newspapers, 'nursing workforce' and 'nursing service' were highly rated in frequency, edge weight, and degree centrality. On Twitter, the most frequent nodes were 'National Health Insurance Service' and 'comprehensive nursing care service hospital.' The nodes with the highest edge weight were 'national health insurance,' 'wards without caregiver presence,' and 'caregiving costs.' 'National Health Insurance Service' was highest in degree centrality. Conclusion: This study provides an example of how to use atypical big data for a nursing issue through semantic network analysis to explore diverse perspectives surrounding the nursing community through various media sources. Applying semantic network analysis to online big data to gather information regarding various nursing issues would help to explore opinions for formulating and implementing nursing policies.

• Journal of the Korean Chemical Society
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• v.43 no.3
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• pp.321-327
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• 1999

The STS materials, emphasized in the 6th curriculum, in the chemistry part of middle school science textbooks were analyzed. The average value of the STS content of textbook was 13.2%. In the study of chapter of textbook, 15.9% of STS materials was included in the chapter of ？reaction of materials?, 12% in "character and separation of materials", and 10.8% in "composition of materials". When the STS topics classified by Piel were analyzed, the results were as follows; 40.2% on sociology of science, 28.8% on environmental quality and utilization of natural source, 20.4% on effects of technological developments, and 12.9% on energy. However, the topic on human engineering was only included in a textbook, and the topics on space research and national defence were not included in any textbooks. When the STS materials were analyzed by student activities of SATIS, the number of activities was 71. Most activities were consisted of solving problems and decision, simulation and data analysis, and there was no research design and role playing.

• Korean Journal of Health Education and Promotion
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• v.22 no.4
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• pp.215-227
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• 2005

Objectives: The purpose of this study is to develop a Korean Health Literacy Assessment Tool (KHLAT) and to encourage researchers in the public health education field to look at the concept of health literacy as one of the possible strategies to design and develop more effective health education campaigns in Korea. Methods: Data with 117 sample subjects was collected from various classes such as continuing adult classes and undergraduate classes. REALM, well-known and widely used health literacy tool in the US, was translated and modified for cultural considerations. The Korean modified version of the REALM was administrated to the targeted subjects who were asked to fill the survey questionnaires. Results: The findings appear to be consistent with the OCED reading literacy among Koreans. Health literacy among Korean seems to be more serious problem than we have expected before and this could be a major obstacle to effective health public education campaigns. Conclusions: In order to develop better public health education materials as well as health education programs, it may be critical for us as health educators to inform future physicians as well as practicing physicians of the important link between health literacy and the effective health education(or communication). It is now time for us to make sincere efforts in understanding health literacy one of effective strategies toward improving the public health.

• Convergence Security Journal
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• v.15 no.3_2
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• pp.53-58
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• 2015

The study of Security Martial Arts is classified into nine categories; philosophy, history, education, sociology, psychology, physiology, training science, movement dynamics, and guard practice. The study of the theory and practice of Security Martial Arts should be concerned at first, for the development and progress for the future of Martial Arts. First, theoretical research that can be utilized in the real field should be performed, and such research outcomes are needed to be published as teaching materials and to be shared through various channels. Second, collaborative research of the characteristics of martial arts should be carried out. The Security Martial Arts would achieve a further development if training methods are complemented, and strengths and weaknesses of the events are fully understood. Third, studies for the independence of disciplines should be performed. The study field is derived into nine areas, and each is needed to be developed scientifically and systematically. Accompanied by sustainable study, academic autonomy of Security Martial Arts will be achieved.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.470-476
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• 2015

Big data has been used in diverse areas. For example, in computer science and sociology, there is a difference in their issues to approach big data, but they have same usage to analyze big data and imply the analysis result. So the meaningful analysis and implication of big data are needed in most areas. Statistics and machine learning provide various methods for big data analysis. In this paper, we study a process for big data analysis, and propose an efficient methodology of entire process from collecting big data to implying the result of big data analysis. In addition, patent documents have the characteristics of big data, we propose an approach to apply big data analysis to patent data, and imply the result of patent big data to build R&D strategy. To illustrate how to use our proposed methodology for real problem, we perform a case study using applied and registered patent documents retrieved from the patent databases in the world.

• Korean Journal of Social Welfare
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• v.64 no.1
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• pp.53-77
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• 2012

The Easterlin Paradox is widely accepted as a pioneer of happiness study in social science disciplines including Economics, Psychology, and Sociology. Moreover, it should be noted, the paradox has abundant implications on many social issues such as 'economic growth or social equity', 'basic income' and so forth. It is in this regard that this paper purports to understand debates around the paradox. For this purpose, the chapter two examines the theoretical perspectives of the Easterlin Paradox, and accordingly the chapter three examines the Easterlin Paradox debates since the early 1990s. In the context of the Easterlin paradox debates, the chapter four scrutinizes the debates around satiation point in income-happiness nexus and duly concludes with some social welfare implications.

• Journal of Environmental Impact Assessment
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• v.16 no.3
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• pp.207-227
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• 2007

본 연구는 오늘날 범지구적 차원에서 심각한 수준에 있는 생태계 파괴에 대한 사회학적 함의를 정립하는 데 목적이 있다. 이를 위해 먼저 생태계의 개념과 구조를 살펴보고, 다음으로 인간활동으로 인한 생태계 파괴의 메커니즘을 분석하고, 마지막으로 그 메커니즘에 기초하여 생태계 파괴에 대한 사회학적 함의를 정립하였다. 생태계로서의 자연은 인간 없이 존재할 수 있지만 인간은 자연 없이는 생존할 수 없다. 따라서 생계위기는 곧 인간의 위기다. 그럼에도 불구하고 18세기 산업혁명 이후 풍요성과 편리성 추구를 위한 인간의 활동 결과 지구는 점용환경용량을 2.5배 초과되었다. 이것은 인간이 범한 모순이다. 이 모순을 해결하면서 사회발전을 추진하자는 이념으로 1987년 지속가능발전이 제창되었고, 지속가능발전은 1990년대 중반에 지속가능사회로 대치되었고, 2000년대에 와서는 지속가능사회가 생태적 근대화로 대체되었다. 18세기 산업혁명 이후 풍요성과 편리성 증대를 위한 인간의 활동으로 생태계가 파괴되기 시작한 후, 생태계를 보전하면서 사회발전을 추진하자는 생태적 근대화 이념이 출현까지의 역사적 과정은 정(正)-반(反)-합(合)의 변증법 과정으로 이론화될 수 있다. 산업혁명 이전의 농업사회 때는 인간의 활동이 점용환경용량 범위 안에서 이루어졌기 때문에 환경문제가 없었다. 이 시대는 생태적 지속가능성이 유지되었기 때문에 생태적 합(合)의 상태라고 할 수 있다. 산업혁명 이후 인간의 활동이 생태계의 점용환경용량을 초월시킨 것은 생태계에 반(反)이 작용한 것이다. 따라서 범지구적 차원에서 환경문제의 심각성을 인식하고 지속가능발전을 위한 정책이 도입되기 이전까지 생태계는 정(正)과 반(反)이 대립상태에서 공존하였다. 1990년대 이후 생태적 지속가능성을 위한 각종 지속가능발전정책의 도입은 정(正)과 반(反)의 대립을 통해 다시 생태학적 합(合)의 상태를 지향하는 과정이라고 할 수 있다.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.253-275
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• 2022

Niklas Luhmann is one of the most contentious and difficult theorist in sociology but follow-up studies on his theory gradually increase for recent 10 years. The purpose of this study is to observe how follow-up studies use the difficult concepts of Luhmann. Unlike previous studies, this study adopted a keyword rather than an article as the unit of analysis because keywords are linguistic constructs that can make concepts observable. The study analyzed co-occurrence of keywords in 139 articles retrieved from social sciences category in Web of Science DB. The key findings were following: the most important keywords were the name of Luhmann(Niklas Luhmann) and theory(social systems); keywords were grouped into 4 clusters(social systems theory, systems theory, legal system and political system, the significant of Luhmann's theory from the viewpoint of the history of social theory); topic terms were systems theory, communication, Autopoiesis, risk, legal system, functional differentiation, environment, social theory, sociological theory, structural coupling, systems and evolution. The significance of the study is following: the study gives keywords as useful access point for beginners of Luhmann's theory; the study proves that content analysis by keywords network can be applied to trend analysis of difficult theoretical researches.