• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.371-382
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• 2017

This study aims to analyze the research trend of cultural policy-related papers based on 832 key words among 186 whole articles in the Journal of Cultural Policy by the Korea Culture & Tourism Institute from October 2008 to January 2017. The analysis was performed using a big data analysis technique called the Semantic Network Analysis. The Semantic Network Analysis consists of frequency analysis, density analysis, centrality analysis including degree centrality, betweenness centrality, and eigenvector centrality. Lastly, the study shows a figure visualizing the results of the centrality analysis through Netdraw program. The most frequently exposed key words were 'culture', 'cultural policy/administration', 'cultural industry/cultural content', 'policy', 'creative industry', in the order. The key word 'culture' was ranked as the first in all the analysis of degree centrality, betweenness centrality and eigenvector centrality, followed by 'policy' and 'cultural policy/administraion'. The key word 'cultural industry/cultural content' with very high frequency recorded high points in degree centrality and eigenvector centrality, but showed relatively low points in betweenness centrality.

• Journal of Navigation and Port Research
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• v.34 no.2
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• pp.131-136
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• 2010

The aim of the paper is to solve the problem of customer reduction due to the difficulty of parts sourcing which impacts production delay and delivery delay in SC networks. Furthermore, this paper is to suggest the new inventory policy of MTS in order to solve the problem of current inventory policy. In order to compare two policies, a LCD maker is selected as a case study and the real data for 2007 years is used for simulation input. The maker uses MTO policy for parts sourcing which has the problem of lead time even if it has some advantage of inventory cost. Based on current process. The simulation program of AS-IS model and TO-BE model using ARENA 10 version is developed for evaluation. In a result, the order number of two policies shows that MTO is 52 and MTS is 53. However the quantity of order shows big difference such that MTO is 168,460 and MTS is 225,106. Particularly, the lead time of new inventory policy shows much shorter that that of MTO such that MTO 100 is days and MTS is 16 days. In spite of short lead time by MTS policy, new policy has to take burden of inventory cost per year. Total inventory cost per year by MTS policy is US$ 11,254 and each part inventory cost is that POL is US$ 1,807, LDI is US$ 2,166 and Panel is US$ 7,281. The implication of the research is that the company has to consider the cost and the service simultaneously in deciding the inventory policy. In the paper, even if the optimal point of deciding is put into tactical area, the ground of decision is suggested in order to improve the problem in SC networks.

• Asian Journal of Innovation and Policy
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• v.7 no.3
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• pp.438-456
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• 2018

This study aims to understand the importance of commercialization of research and development projects and examines key factors that allow successful technology transfer and commercialization. Given the characteristics of the railway research project, and assuming that R&D input factors would vary depending on the technology readiness level and the degree of research convergence, this study analyzes the moderating effect of each R&D input factor on technology transfer and commercialization to determine their eventual impact. Through this study, it was found that it was necessary to proceed to technology transfer and commercialization of the national research and development projects via strategic workforce composition and allocation of research funding given the subjects and development goals of R&D projects.

• Health Policy and Management
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• v.32 no.1
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• pp.1-2
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• 2022

With the rising attention dedicated to research ethics, the responsibility of researchers to comply with research ethics is also highlighted. Among a number of research ethics obligations that researchers should abide by, an institutional review board (IRB) review is the most essential step to be taken before launching research. As the health service research field grapples with human subjects, it closely aligns with IRB deliberation. However, it seems that researchers still do not fully understand their obligations of IRB reviews. Due to the nature of health services research, there are many cases that are exempt from IRB reviews, which often elicits confusion in the research field. On that note, we aim to explore the issues regarding IRB reviews that health service researchers need to know.

• Journal of Korean Public Health Nursing
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• v.22 no.1
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• pp.5-17
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• 2008

Purpose: To understand the dietary habits and factors influencing the dietary habits in adults of an urban community. Method: The data were collected via questionnaires that investigated dietary habits, health behaviors, health-related factors, and general characteristics. A total of 302 subjects were selected from those who had visited an urban public center over a 2-week period. The data of 294 subjects were analyzed using descriptive analysis, t-test, ANOVA, and multiple regression, after 8 questionnaire were excluded due to incomplete data. Results: The degree of dietary habits was in the middle range. The most positive dietary habit was 'intake fibers from vegetables, fruits, and cereals', followed by 'not enjoy salty food and salt' and 'eating breakfast everyday'. The significant predictors influencing dietary habits were age, present smoking behavior, perceived health status, and drinking frequency, and these variables accounted for 27.3% of the variance in the dietary habits score. Conclusion: Health care providers should focus on health promotion planning regarding dietary habits and other health-related behaviors in combination and use integrated strategies regarding the factors that influence dietary habits and other health-related behaviors.

• Journal of the Korean Solar Energy Society
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• v.38 no.2
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• pp.45-53
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• 2018

For the preliminary step for estimating the performance of roof-type photovoltaic system in urban areas, we analyzed the solar radiation reduction ratio by shadow effect by buildings using DSM (Digital Surface Model) and GIS (Geographical Information System) tools. An average loss by the shadow is about 19% in Seoul. The result was related to the building density and distribution. Monthly results show that the winter season (December and January) was more affected by the shading than during the summer season (June and July). It is expected that useful empirical formulas can be made if more detailed correlation studies are performed.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.17 no.3
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• pp.371-381
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• 2010

Purpose: The purpose of this study was to develop a scenario and evaluate students' performance in simulation learning of care for patients with asthma in emergency units. Methods: Meetings of experts were used to develop a scenario based on actual patients and textbook material. An evaluation protocol was developed to evaluate the simulation learning. The scenario was used in 2006 with six groups of 26 senior nursing students who participated voluntarily. Results: The scenario was developed according to the nursing process for 15 minutes of simulation learning. The nursing students were able to demonstrate their knowledge and skills. The results showed a need to improve problem solving ability. In the self-evaluation, the students reported that simulation learning helped them to integrate their knowledge to practice and recognize their weaknesses and strengths. However, the scores for self-confidence about patient care after the simulation learning were low (4.8/10). Conclusion: The scenario in this study gave the students the experience of providing qualified and secure nursing care under conditions similar to reality. Further development of a variety of scenarios for simulation learning is needed.

• Journal of agriculture & life science
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• v.46 no.6
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• pp.43-49
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• 2012

This study was conducted to develop a stem volume table for the Robinia pseudoacacia using stem taper equations. Specifically, Kozak's model was used in the estimation of each model parameter. The fitness of the estimated model was statistically verified and results of the residual analysis were found significant. Therefore, this model is considered applicable in the preparation of stem volume table for R. pseudoacacia. Furthermore, volume with bark and without bark table were developed based on the bark thickness estimation equation. The bark thickness estimation equation was also statistically significant, The stem volume table developed for R. pseudoacacia, which was first in Korea, is vital in managing these forests.

• Journal of Climate Change Research
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• v.8 no.1
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• pp.1-10
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• 2017

Over the past centuries, industrialization in developed and developing countries has had a negative impact on global warming, releasing $CO_2$ emissions into the Earth's atmosphere. In recent years, the transportation sector, which emits one-third of total $CO_2$ emissions in the United States, has adapted by implementing a climate change action plan to reduce $CO_2$ emissions. Having an environmental policy might be an essential factor in mitigating the man-made global warming threats to protect public health and the coexistent needs of current and future generations; however, to my best knowledge, no research has been conducted in such a context with appropriate statistical validation process to evaluate the effects of climate change policy on $CO_2$ emission reduction in recent years in the U.S. transportation. The empirical findings using an entity fixed-effects model with valid statistical tests show the positive effects of climate change policy on $CO_2$ emission reduction in a state. With all the 49 states joining the climate change action plans, the U.S. transportation sector is expected to reduce its $CO_2$ emissions by 20.2 MMT per year, and for the next 10 years, the cumulated $CO_2$ emission reduction is projected to reach 202.3 MMT, which is almost equivalent to the $CO_2$ emissions from the transportation sector produced in 2012 by California, the largest $CO_2$ emission state in the nation.

• Journal of Environmental Science International
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• v.22 no.4
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• pp.443-451
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• 2013

Spring rainfall events were comprehensively analyzed based on the distribution of precipitation amount and the related synoptic weather between 2008~2012. Forty-eight cases are selected among the rain events of the entire country, and each distribution of the 24-hour accumulated precipitation amount is classified into three types: evenly distributed rain(Type 1), more rain in the southern area and south coast region (Type 2), and more rain in the central region (Type 3), respectively. Type 1 constitutes the largest part(35 cases, 72.9%) with mean precipitation amount of 19.4 mm, and the 17 cases of Type 1 are observed in March. Although Type B and C constitutes small parts (11 cases, 22.9% and 2 cases, 4.2%), respectively. The precipitation amount of these types is greater than 34.5 mm and occurred usually in April. The main synoptic weather patterns affecting precipitation distribution are classified into five patterns according to the pathway of low pressures. The most influential pattern is type 4, and this usually occurs in March, April, and May (Low pressures from the north and the ones from the west and south consecutively affect South Korea, 37.5%). The pattern 3(Low pressures from the south affect South Korea, 25%) happens mostly in April, and the average precipitation is usually greater than 30 mm. This value is relatively higher than the values in any other patterns.