• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.22-31
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• 2017

This study has begun with the perception that proper measuring system is required to grow community business in equilibrium and to grope for some developmental directions of it. First, for effective performance evaluation of community business, the study developed a performance evaluation model based on balanced score cards, and to apply validity analysis and analytic hierarchy process (AHP) by classifying. Second, the relative importance of the second indicator for each of the first aspects shows that participation of local residents and in the aspect of person interested, satisfaction of inner education in the aspect of learning and growth, shortening of work process in the aspect of inner process, and sales per head in the aspect of substantiality were high in relative importance. Third, in the result of calculation of overall weight for each aspect, participation of local residents, a business connection to the community, sales per head were ranked in the upper group. Thus, it's now necessary to have management support through fostering intermediate support organizations in community business which has been bureaucratic, and improvement of product and service through connection with outside consulting agencies and strategic alliance with the leading businesses is required.

• Asian-Australasian Journal of Animal Sciences
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• v.8 no.2
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• pp.195-200
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• 1995

The design of this field experiment was a completely randomized block arrangement, consisted of 16 treatments (Gliricidia sepium provenances) and 6 blocks as replications with 12 plants per provenance. Of the 16 gliricidia provenances, six were from Mexico (M), four were from Guatemala (G), and one each was from Colombia (C), Indonesia (I), Nicaragua (N), panama (P), Costa Rica (R), and Venezuela (V). After 12 months establishment the gliricidia were lopped regularly 4 times a year, twice during the 4 months wet season and twice during the 8 months dry season at 150 cm height. There was variation (p < 0.05) in stem elongation from 22 to 80 cm, leaf retained from 118 to 209%, branch number from 13 to 24, fodder yield from 1,015 to 1,671 g DW/plant and wood yield from 792 to 1,662 g DW/plant among the provenances; and such variations were affected by the seasons. Belen (N14), Retalhuleu (G14) and Bukit Bali (I) provenances were ranked first, second and third, respectively, measured in terms of leaf retention, stem elongation, fodder and wood yields during the wet and dry seasons.

• Quality Improvement in Health Care
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• v.7 no.2
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• pp.204-216
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• 2000

Background : There has been a concern that the quality of care provided to end-stage renal disease (ESRD) patients in the United States may not be as good as recommended. This paper illustrates a composite measure to assess, the quality of care received by ESRD patients undergoing in-center hemodialysis by incorporating outcomes for 4 major treatment areas. The 4 treatment areas are: dialysis treatments, anemia control, nutritional management, and blood pressure control. Methods : The major data source for the study was the United States Renal Data System (USRDS) Dialysis Morbidity and Mortality Study Wave 1 (DMMS-1) d Sixteen categories of a composite quality indicator were constructed by combining 4 dichotomous variables (16=2*2*2*2). representing the optimal vs. less than optimal level of outcome for each of the 4 treatment outcome measure respectively. Optimal outcome level for each treatment area was defined based on the recommendation from the National Kidney Foundation: (a) delivered dialysis doses (Kt/V) ${\geq}$ 1.2; (b) hematocrit level ${\geq}$ 30%; (c) serum albumin concentration ${\geq}$ 3.8g/dl ; and (d) blood pressure of <140 / <90mmHg. The 16 quality indicator were ranked according to their relative quality weights, which were estimated from its association with the relative risk of survival, adjusting for patient's baseline severity and dialysis facility characteristics. Results : Out of the entire sample of 2,179 patients, only 229 (10%) meet th recommended outcome levels for all 4 treatment areas. Overall, the study patients were distributed evenly over the 16 quality indicators, indicating a great variation in the quality of ESRD care. It appears that the rank of the 16 quality-indicators is driven by serum albumin concentration, suggesting that serum albumin concentration may be the most powerful predictor of ESRD patient survival among the 4 outcome measures. Conclusion : The developed quality indicator has the advantage of describin a range of care for dialysis patients and thus providing a more complete picture of care as compared to previous studies that have focused on only single or few components of the ESRD care.

• Journal of Korea Port Economic Association
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• v.34 no.1
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• pp.19-34
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• 2018

This study analyzed specific ports' marketing strategies through interviews and, using fuzzy TOPSIS methodology, derived marketing strategies for the Incheon and Pyeongtaek-Dangjin ports by comparing them with the Busan port. Previous studies had concentrated on the Busan port, and the majority of these studies analyzed the present conditions and suggested 4P strategies using a marketing mix. After weighting all of the respondents' answers, the results show that among all marketing strategies, incentive provisions ranked the highest, followed by the intermediary role between the relevant agencies and companies, and last- the agent system for establishing local networks. The fuzzy TOPSIS analysis results showed that the Busan port had the best marketing performance. The most sensitive strategies, based on the sensitivity analysis, were the intermediary role between relevant agencies and companies in the Incheon port, and the incentive provision in Pyeongtaek-Dangjin port. The implications of this study are that the port management agencies' actual marketing strategies were similar to the marketing promotion strategies suggested by previous research, and thus, each port's marketing targets and their characteristics should be clearly defined.

• Journal of Korean Academy of Nursing
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• v.8 no.2
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• pp.79-88
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• 1978

Utilizing Foley catheter in therapy of inpatient cause bacteriuria and urinary tract infection that leads to first ranked factor's in hospital infection (nosocomial infection). To protect the patient from such infections, emphasis should be placed on catheterization technique and management of the closed drainage system, this reducing the chances of introducing organisms. This study has been done at Intensive Care Unit of A and B hospitals from May-Oct. 1978 on 20 male and 18 female adult patients. Each patient was screened and found to have nonbacteriuria in clean catch specimen before catheterization. Clean catch specimen via foley catheter were obtained after 48 hours and 96 hours from catheterization. The findings are as follows: A. The occurrence of bacteriuria in patients according to duration of indwelling catheter. 1 213.9% of the patient showed evidence of bacteriuria 48h post catheterization specimen, while 57.9% of the patient showed evidence of bacteriuria 96h post catheterization specimen. 2 25% of male patients had infection 48h post catheterization and 45% displayed bacteriuria post catheterization. 33％ of female patients displayed infection 48h post catheterization and 72.2% having infection 96h post catheterization. Statistically there were significant differences between female patients and the duration of insertion. (P < 0.025) B. The occurrence of bacteriuria with the administration of bacteriuria with the ad-ministration of antibiotic in 24 patients was in 41,7%. The occurrence of bacteriuria without the administration of antibiotic in 14 patients was in 92.3%. Statistically there were very significant difference between the administration of the antibiotis and bacteriuria. (P < 0.005) C. Studies were done according to the consciousness level of the patients, 71.4% of those patient who displayed mental disorder developed bacteriuria, while 30.0% of those patient who displayed non mental disorder developed bacteriuria.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.1
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• pp.128-139
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• 2018

As The Fourth Industrial Revolution and Intelligent Information Age came into full-scale, the policy of open government data has become a hot topic for each country. The United States, the United Kingdom, and other countries are shifting policy direction to "creating value" of open government data. Also, in the age of the digital economy where the data market is soaring, open government data is gradually being recognized as a new raw material for new business and start-ups. In addition, Korea ranked first in the OECD open government data evaluation twice in a row, and was highly evaluated in the international evaluation. However, domestic firms are still lacking in qualitative openness of government data, data is dispersed among institutions, lack of public-private data linkage, and development of app-oriented development. This study attempts to analyze major national policies for the creation of a data ecosystem that considers data lifecycle, from production to storage, distribution and utilization of data. First, the target countries were the leading public data countries among the OGP member countries, the USA, the UK, Australia and Canada. The results of this study are as follows. As a result of analyzing the results and comparing Korea's policies, it was concluded that most of Korea is superior in open government data policy. However, improvement of data quality, development of open data portal as an open platform, support for finding various users including apps and web development companies, and cultivation of open government data utilizing personnel are analyzed as policy issues. In addition, the direction of policy for the balanced ecosystem of Korea is presented together.

• STI Policy Review
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• v.8 no.1
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• pp.41-61
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• 2017

The literature in research policy extensively addresses the interaction between public R&D and the society. Scholars have paid particular attention to the way science and technology are diffused into the society and industry with the aim of substantiating their potential value. In practice, having recognized the importance of the said interaction, R&D entities and governmental organizations promote scientific and technological innovations that result from their R&D activities. Yet, the nature of news media exposure as their primary channel to promote R&D outcomes has been remarkably understudied. Using the results of R&D projects supported by the National Research Foundation of Korea (NRF), this study examines R&D entities' strategic use of the news media to publicize their outcomes. The empirical results suggest that the scale of an R&D project positively affects the counts of media exposure of its R&D outcomes, whereas the level of technology readiness and the technology life-cycle do not have significant influence. In addition, the results suggest that, compared to senior researchers, young researchers are more likely to publicize their R&D outcomes and that R&D outcomes from highly ranked universities are more likely to be publicized than those from lower-ranking universities despite our control for R&D outcomes. The aforementioned results suggest that in promoting the diffusion of science and technology, especially to the public, policymakers should be concerned about incentives for those who provide techno-scientific information, such as researchers. The social need for the diffusion of techno-scientific information into the public (e.g., technology transfer and diffusion) is an insignificant factor in determining the media exposure of such information, whereas personal benefits and sensitive issues related to a researcher's own R&D activities (e.g., justification for R&D activities) drive researchers to publicize their R&D outcomes. This paper suggests that policymakers, especially those concerned with better diffusion of scientific and technological innovations need to design a proper incentive system to maximize the societal benefits of media exposure.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.126-136
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• 2020

Recently, unmanned aerial vehicles (UAV, Drone) are highly regarded for their potential in the agricultural field, and research and development are actively conducted for various purposes. Therefore, in this study, to present a framework for tracking research trends in UAV use in the agricultural field, we secured a keyword search strategy and analyzed social network, a methodology used to analyze recent research trends or technological trends as an analysis model applied. This study consists of three stages. As a first step in data acquisition, search terms and search formulas were developed for experts in accordance with the Keyword Search Strategy. Data collection was conducted based on completed search terms and search expressions. As a second step, frequency analysis was conducted by country, academic field, and journal based on the number of thesis presentations. Finally, social network analysis was performed. The analysis used the open source programming language 'Python'. Thanks to the efficiency and convenience of unmanned aerial vehicles, this field is growing rapidly and China and the United States are leading global research. Korea ranked 18th, and bold investment in this field is needed to advance agriculture. The results of this study's analysis could be used as important information in government policy making.

• Journal of Korea Trade
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• v.24 no.1
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• pp.171-207
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• 2020

Purpose - This paper investigates the potential effect of the Regional Comprehensive Economic Partnership (RCEP) on trade liberalization among member countries in order to answer key questions in our research on whether the RCEP will be a cornerstone or just collaboration. Furthermore, it aims to measure the likely magnitude of the economic impact it has on its members. Design/methodology - Toward achieving research objectives, we developed a regional CGE model based on the GTAP 9 database. Findings - The simulation results show Korea, Australia, India, and Japan ranked the top countries with an average growth in GDP of 0.38 %, 0.36%, 0.29%, and 0.23%, respectively. Moreover, China and New Zealand followed with a percentage of 0.12% each. The lower economic performing group is the ASEAN group due to a contraction in GDP by 0.13%. Accordingly, there was a positive impact of the RCEP agreement on all member states, as empirically demonstrated. Furthermore, Korea is one of the countries that will benefit most from joining this agreement. Finally, this agreement is important; it has many economic benefits to member states, but it is not a cornerstone. Originality/value - The examination of the quantitative effects of tariff removal among the RCEP's countries is its value. We will address all member countries of the convention simultaneously using a regional CGE model GAMS language, where we employed a Mathematical Programming System for General Equilibrium (MPSGE) to establish a Regional CGE model. This study is directed to policymakers looking at evaluating RCEP agreement.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.67-80
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• 2023

Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.