• Clinical and Experimental Pediatrics
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• v.52 no.11
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• pp.1249-1259
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• 2009

Purpose:From a societal perspective, we evaluated the cost-effectiveness of a novel sustained-release injection of recombinant human growth hormone (GH) administered on a weekly basis compared with that of the present daily GH injection for the treatment of children with GH deficiency. Methods:Health-related utility for GH therapy was measured based on the visual analogue scale. During July 2008, caregivers of 149 children receiving GH therapy form 2 study sites participated in a web-based questionnaire survey. The survey required the caregivers to rate their current subjective utility with daily GH injections or expected utility of weekly GH injections. Because there was no difference in the costs of the daily and weekly therapies, for the purposes of this study, only drug acquisition costs were considered. Results:Switching from daily to weekly injection of GH increased the utility from 0.584 to 0.784 and incurred an extra cost of 4,060,811 Korean won (KW) per year. The incremental cost-utility ratio (ICUR) for a base case was 20,305,055 KW per quality-adjusted life year (QALY) gained. Scenario analyses showed that the ICUR ranged from 15,751,198 to 25,489,929 KW per QALY. Conclusion:The ICUR for a base case and worst case scenario analyses ranged from 0.85 to 1.37-times per capita gross domestic product of Korea, which is considered to be within the generally accepted willingness-to-pay threshold. Thus, it is concluded that switching from daily to weekly injection of GH would be cost-effective.

• Journal of Bio-Environment Control
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• v.28 no.4
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• pp.429-437
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• 2019

This study was conducted to examine the effect of humidification and shading during cutting propagation on growth and development of strawberry (Fragaria x ananassa Duch.) 'Maehyang' plants at a propagation stage. The runner cuttings were stuck on Nov. 23, 2017 in propagation benches set in a Venlo-type glasshouse. Four shading treatments, no shading (control, C), 55% shading with white lawn (W55), 55% black shading net (B55), or 100% black plastic film (B100) with either an intermittent fog system (H) or without fog system. The shading and fog systems were removed 2 weeks after sticking of strawberry cuttings. A nutrient solution for strawberry, which was developed by Yamazaki, was supplied once a day with electrical conductivity (EC) $1.6dS{\cdot}m^{-1}$ and pH 5.8. Growth parameters such as plant height, longest root, crown diameter, leaf chlorophyll, leaf area and fresh and dry weight were measured at 7 days and 26 days after sticking. There was no significant difference in growth of above-aerial part of strawberry. The overall growth of the strawberry roots was better grew by providing fog than that not provide fog. The root fresh weight and root dry weight after 26 days after sticking of strawberry cutting was the best in the treatment that provided fog system without shading (CH). The longest root after 26 days after sticking of strawberry cutting was the best in the treatments that provided fog system with either 55% white lawn (W55H) and 55% black shading net (B55H). These results suggest that morphogenesis of these plants were affected by humidification and shading types. In a broader perspective, these results can be used to optimize studies of other crops grown from cuttings.

• (The)Study of the Eastern Classic
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• no.48
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• pp.253-287
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• 2012

This research aimed to discuss the necessity of education and evil through perspective of Sunja and Hannah Arendt. In case of Sunja, it was reviewed by his opinion about Sunja as the central figure. As for Arendt, it was researched with "Eichmann in Jerusalem" as the central figure which she wrote participating in the trial process of Eichmann who was a war criminal of Nazi. Sunja thought evil as the nature of people and understood that they all are originally selfish, envious, and seeking desire. Therefore, Sunja thought it is important to properly seek human desire. He claimed Haw Seong Gi Wi(化性起僞, changing evil human nature into goodness through manner) which changes human nature from evil to goodness. A teacher who leads evil into goodness is surely needed in the process of Haw Seong Gi Wi. At the same time, in the dimension of educational content it put stress on the role of Ye(禮, manner) which lets them realize discernment so that they properly seek human desire and Ak(樂, harmony) which harmoniously controls human emotion, and key point on education regarding Ye and Ak. As for Arendt, however, she recognized evil as normal one. Even though he thought that conforming the order of superior authority was the best value and then took evil of killing many Jews in thoughtlessness, Eichmann maintained that he did not take evil but only conformed the order. This way, people could take evil in thoughtlessness in totalitarianism, and it makes circumstance that they could not take goodness. Therefore they could take evil in thoughtlessness and experience the radical evil and the banality of evil. Accordingly, political praxis which guarantees people's plurality as the words and praxis is needed. It is named natality because the truth that they are born in this world is a starting point, and makes the essence of education. In this process, teachers have to be a representative of this generation for children as new social members, and be able to keep children's newness. Sunja and Arendt have the same equality and difference in that they referred to the necessity of education to overcome human evil. It is the same quality that goodness could recover the function of community and the practice of education is considered important in the goal of education and the dimension of directivity. It is different in methodical characteristic of education that Arendt, however, suggests praxis as the way that they express themselves in totalitarianism while Sunja thought that continuous practice piling up virtue for goodness is important.

• Journal of Bio-Environment Control
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• v.26 no.4
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• pp.340-345
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• 2017

Carrot leaves have many nutrients as well as roots, which will increase the demand for carrot leaves in the future. This study was carried out by dividing into two stages: high temperature and low temperature periods, in order to investigate the possibility of cultivation of carrot leaves and the composition and EC of the nutrient solution for growth and quality of carrot leaves. Composition of nutrient solution($NO_3-N:16.0$, $NH_4-N:1.0$, P: 1.0, K: 11.0, Ca: 2.0, Mg: 1.0, $SO_4-S:1.0mM{\cdot}L^{-1}$) developed by analysis of plant. In the high temperature range (From June $29^{th}$ to Sep. $8^{th}$, 2016), the concentration of the developed nutrient solution (JNU) were 1.0, 2.0, 3.0, and $4.0dS{\cdot}m^{-1}$ and the concentration of nutrient solution of Japanese Horticultural Station(JHS) $2.0dS{\cdot}m^{-1}$ was used for comparison. In the low temperature range (From Dec. $31^{st}$, 2015 to Feb. $29^{th}$, 2016), the concentration of the developed nutrient solution 1.0, 2.0, and $3.0dS{\cdot}m^{-1}$ were used. Growth was investigated in root fresh and dry weights, shoot fresh and dry weights, leaf number, and leaf area of carrot. In the high temperature range, the leaf area and shoot fresh and dry weights were good at 1.0 and $2.0dS{\cdot}m^{-1}$. The sugar content of the root was the highest at the EC $2.0dS{\cdot}m^{-1}$, and the chlorophyll content was the highest at the EC $4.0dS{\cdot}m^{-1}$. In the low temperature range, The shoot fresh and dry weights were the highest at EC 1.0 and $2.0dS{\cdot}m^{-1}$. There was no significant difference in sugar content and chlorophyll content. As a result, from the viewpoint of growth and quality of carrot, it is good to cultivate EC 1.0 and $2.0dS{\cdot}m^{-1}$ in high temperature period and low temperature period, but EC $1.0dS{\cdot}m^{-1}$ is economical perspective such as fertilizer input.

• Journal of muscle and joint health
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• v.3 no.1
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• pp.90-103
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• 1996

The purpose of this paper is to compare two approach to assessment of coping patterns. The sampling method was a purposive sampling technique. The study participants were out patients 113 of rheumatoid arthritis center of one University hospitals in Seoul. Datas were collected from Nov. 13 to Nov. 24, 1995. The instruments used for this study were Graphic Rating Scales of pain, The Beck Depression Inventory and Coping Patterns tool. The collected data were analyzed for frequency, means, SD, factor analysis., Pearsons' correlations and ANOVA. The results were summerized as follows ; 1. When raw scores were used : there were not correlation in all three coping patterns. 2. When relative scores were used : there were significantly correlated in all three coping patterns. 1) Active coping and Positive-cognitive coping (r=-0.352, p< 0.0001) 2) Positive-cognitive coping and Negative-cognitive coping (r=-0.594, p< 0.0001) 3) Active coping and Negative-cognitive coping(r=-0.544, p< 0.0001) The results of this research with relative scales provided more insight into the correlation in all three coping patterns. 3. Pearsons' Correlations were computed for each coping pattern, age, pain level, duration of pain and BDI. 1) Using raw score : (1) Active coping was significantly related to pain level(sensory score ; r=0.268, p<0.05, affective score ; r=0.266, p< 0.05) (2) Positive-cognitive coping was significantly related to age (r=-0.252, p< 0.05), pain level (sensory score ; r= -0.244, p< 0.05) (3) Negative-cognitive coping was significantly related to depression level (r=0.312 p< 0.0001). 2) Using relative score (1) Active coping was significantly related to pain level(sensory score ; r=0.299, p<0.05, affective score ; r=0.246, p< 0.05) (2) Positive-cognitive coping was significantly related to age (r= -0.187, P< 0.05), pain level (sensory score ; r=-0.317, p<0.0001, affective score : r=-0.305, p<0.0001) and depression level(-0.339, p<0.0001)) (3) Negative-cognitive coping was significantly related to depression. level(r=0.313, p<0.0001). 4. When raw and realtive coping scores were compared to those of age groups, religious groups and BDI level(high, middle, low) ; 1) Using raw score : (1) Active coping : there were not significantly difference (2) Positive-cognitive coping ; 20-39 age group and 50-59age group had significantly higher scores than over 60age group. BDI-low level group had significantly higher scores than other groups. (3) Negative-cognitive coping : 20-39age group and over 60age group had significantly higher scores than 40-49age group. Non-religious group had significantly higher scores than christian group. BDI-high level group had significantly higher scores than other groups. 2) Using relative score : (1) Active coping : over 60 age group had significantly higher scores than 20-39 age group and 40-49age group had significantly higher scores than 20-39 age group (2) Positive-cognitive coping ; 40-49age group, 20-39age group and 50-59age group had significantly higher scores than over 60age group. Christian group had significantly higher scores than non-religious group. BDI-low level group had significantly higher scores than other groups. (3) Negative-cognitive coping ; Non-religious group had significantly higher scores than christian group and buddhistic group. BDI-high level group had significantly higher scores than other groups. The current data suggest that relative scores may yield a different perspective on coping patters than raw scores. The use of relative scores reveals the relation clearly, without its being blurred statistically by the effect of other coping strategies or being relegated to a partial correlation. The use of relative scores holds promise for delineating the relations between ways of coping and health-related behavior.

• Korean Journal of Environmental Biology
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• v.35 no.3
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• pp.413-425
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• 2017

This manuscript describes the relationship between climate change and forest growth, forest species, carbon stocks, and tree mortality. 1) In the aspect of forest growth, the growth of major coniferous species, including Pinus densiflora, had a negative correlation with temperature. On the other hand, major deciduous oak species, including Quercus variabilis and Quercus mongolica, had a positive correlation with temperature. 2) When considered in the aspect of the forest species distribution, various models commonly showed a decrease in the distribution of coniferous species and an increase in oak species due to climate change in the medium to long term. 3) From the carbon stock perspective, there was a difference in the estimation according to the status of forest management. Most of Korean forests will mature to become over-matured forest after year 2030 and are estimated to produce approximately 410 million ton forest biomass until 2090 with the current cutting regulations for sustainable forest management announced by the Korean Forest Service. 4) In the forest mortality, the mortality rate of the major coniferous species showed a clear tendency to increase higher temperatures while it decreased for the oak species with no verification of statistical significance. Moreover, the mortality of the subalpine coniferous species was projected to progress rapidly. considering the overall impacts described above, there should be a management strategy for coniferous species that are relatively vulnerable to climate change. Moreover, a sustainable forest plan in the aspect of ecosystem services, carbon sequestration and storage, which is linked to global issues such as Sustainable Development Goals, ecosystem services and negative emission.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.235-247
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• 2019

In order to achieve the results that are appropriate for the purpose of the enterprise, it is important to comprehensively understand the behaviors within the roles of the members of the organization and actions outside the roles. However, there have been relatively few studies on corporate social responsibility (CSR) among the existing studies that have been conducted to date. In particular, organizational citizenship behavior, a voluntary commitment by organizational members, is perceived as a very effective way of enhancing corporate performance, but studies on organizational citizenship behavior based on corporate social responsibility have rarely been conducted. In recent years, domestic companies have recognized social responsibility as an activity rather than an additional activity. Therefore, it is very meaningful to look at the organizational performance by examining the factors that make up this social responsibility from the perspective of the company. It is considered a task. In order to demonstrate this, this study collected 303 data from a business incubator center operated by universities and public institutions nationwide and used a total of 303 samples. As a result of the verification, the wages received by the members of the organization did not affect the organizational commitment, and the working hours and the working environment affected the organizational commitment. In addition, corporate social responsibility has an effect on organizational trust in the marketing side. Organizational commitment and organizational trust were studied to positively affect organizational citizenship behavior. In addition, this study divides the degree of perception of social responsibility of the organizational members into the high recognition group and the low recognition group and analyzed whether there is a difference in the level of organizational citizenship behavior according to the employment type (regular and irregular workers) The results of this study are as follows.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.157-177
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• 2022

Investors are trading stocks by keeping a close watch on the order information submitted by domestic and foreign investors in real time through Limit Order Book information, so-called price current provided by securities firms. Will order information released in the Limit Order Book be useful in stock price prediction? This study analyzes whether it is significant as a predictor of future stock price up or down when order imbalances appear as investors' buying and selling orders are concentrated to one side during intra-day trading time. Using classification algorithms, this study improved the prediction accuracy of the order imbalance information on the short-term price up and down trend, that is the closing price up and down of the day. Day trading strategies are proposed using the predicted price trends of the classification algorithms and the trading performances are analyzed through empirical analysis. The 5-minute KOSPI200 Index Futures data were analyzed for 4,564 days from January 19, 2004 to June 30, 2022. The results of the empirical analysis are as follows. First, order imbalance information has a significant impact on the current stock prices. Second, the order imbalance information observed in the early morning has a significant forecasting power on the price trends from the early morning to the market closing time. Third, the Support Vector Machines algorithm showed the highest prediction accuracy on the day's closing price trends using the order imbalance information at 54.1%. Fourth, the order imbalance information measured at an early time of day had higher prediction accuracy than the order imbalance information measured at a later time of day. Fifth, the trading performances of the day trading strategies using the prediction results of the classification algorithms on the price up and down trends were higher than that of the benchmark trading strategy. Sixth, except for the K-Nearest Neighbor algorithm, all investment performances using the classification algorithms showed average higher total profits than that of the benchmark strategy. Seventh, the trading performances using the predictive results of the Logical Regression, Random Forest, Support Vector Machines, and XGBoost algorithms showed higher results than the benchmark strategy in the Sharpe Ratio, which evaluates both profitability and risk. This study has an academic difference from existing studies in that it documented the economic value of the total buy & sell order volume information among the Limit Order Book information. The empirical results of this study are also valuable to the market participants from a trading perspective. In future studies, it is necessary to improve the performance of the trading strategy using more accurate price prediction results by expanding to deep learning models which are actively being studied for predicting stock prices recently.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.19-38
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• 2017

Collaborative filtering (CF) algorithm has been popularly used for implementing recommender systems. Until now, there have been many prior studies to improve the accuracy of CF. Among them, some recent studies adopt 'hybrid recommendation approach', which enhances the performance of conventional CF by using additional information. In this research, we propose a new hybrid recommender system which fuses CF and the results from the social network analysis on trust and distrust relationship networks among users to enhance prediction accuracy. The proposed algorithm of our study is based on memory-based CF. But, when calculating the similarity between users in CF, our proposed algorithm considers not only the correlation of the users' numeric rating patterns, but also the users' in-degree centrality values derived from trust and distrust relationship networks. In specific, it is designed to amplify the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the trust relationship network. Also, it attenuates the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the distrust relationship network. Our proposed algorithm considers four (4) types of user relationships - direct trust, indirect trust, direct distrust, and indirect distrust - in total. And, it uses four adjusting coefficients, which adjusts the level of amplification / attenuation for in-degree centrality values derived from direct / indirect trust and distrust relationship networks. To determine optimal adjusting coefficients, genetic algorithms (GA) has been adopted. Under this background, we named our proposed algorithm as SNACF-GA (Social Network Analysis - based CF using GA). To validate the performance of the SNACF-GA, we used a real-world data set which is called 'Extended Epinions dataset' provided by 'trustlet.org'. It is the data set contains user responses (rating scores and reviews) after purchasing specific items (e.g. car, movie, music, book) as well as trust / distrust relationship information indicating whom to trust or distrust between users. The experimental system was basically developed using Microsoft Visual Basic for Applications (VBA), but we also used UCINET 6 for calculating the in-degree centrality of trust / distrust relationship networks. In addition, we used Palisade Software's Evolver, which is a commercial software implements genetic algorithm. To examine the effectiveness of our proposed system more precisely, we adopted two comparison models. The first comparison model is conventional CF. It only uses users' explicit numeric ratings when calculating the similarities between users. That is, it does not consider trust / distrust relationship between users at all. The second comparison model is SNACF (Social Network Analysis - based CF). SNACF differs from the proposed algorithm SNACF-GA in that it considers only direct trust / distrust relationships. It also does not use GA optimization. The performances of the proposed algorithm and comparison models were evaluated by using average MAE (mean absolute error). Experimental result showed that the optimal adjusting coefficients for direct trust, indirect trust, direct distrust, indirect distrust were 0, 1.4287, 1.5, 0.4615 each. This implies that distrust relationships between users are more important than trust ones in recommender systems. From the perspective of recommendation accuracy, SNACF-GA (Avg. MAE = 0.111943), the proposed algorithm which reflects both direct and indirect trust / distrust relationships information, was found to greatly outperform a conventional CF (Avg. MAE = 0.112638). Also, the algorithm showed better recommendation accuracy than the SNACF (Avg. MAE = 0.112209). To confirm whether these differences are statistically significant or not, we applied paired samples t-test. The results from the paired samples t-test presented that the difference between SNACF-GA and conventional CF was statistical significant at the 1% significance level, and the difference between SNACF-GA and SNACF was statistical significant at the 5%. Our study found that the trust/distrust relationship can be important information for improving performance of recommendation algorithms. Especially, distrust relationship information was found to have a greater impact on the performance improvement of CF. This implies that we need to have more attention on distrust (negative) relationships rather than trust (positive) ones when tracking and managing social relationships between users.

• Journal of Distribution Science
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• v.9 no.2
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• pp.83-95
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• 2011

Conventional markets in Korea have played a pivotal role in the vitalization of local communities and economies along with the distribution of products. Although many people believe the markets to be disorderly, they are lively and provide local people with things to enjoy, watch and buy. However, superstores have undergone a mushrooming proliferation since Korea opened its gates to multinational superstores in 1996. This phenomenon has caused a crisis for Korea's conventional markets. They have lost their competitiveness because of this environmental change, inefficient management, and their outmoded facilities. Government efforts to revitalize the markets have centered on redevelopment of the facilities, a perspective that has caused not only the fall of the old business districts but also the decline of the distribution function. Under these conditions, the traditional market has re-entered into competition. The Korean government enacted a special law to revitalize the conventional markets and has been implementing many policies to support them since 2003. In 2009, the government amended the law and adopted the Business Improvement District System. The government also changed the official term from 'old markets' to 'Conventional markets'. Despite this legal amendment, though, we still need to re-establish the concept of the Conventional market. Historically, markets grew up spontaneously to dispose of surplus products. Some manmade markets were established through urban planning or as public facilities. Their businesses transactions have always been based on mutual trust between consumers and trades people, the traditional way of commercial dealing. Conventional markets can be defined, then, as creatures of societal necessity where transactions for services and products are based on mutual trust. Problematically, unlisted markets are left out of government support. Although unlisted markets have performed almost the same functions as listed markets, they exist only as a statistic as far as the special law is concerned. In some areas, there are more unlisted markets than unlisted ones. Therefore, it is necessary to establish systematic management methods for the unlisted markets. Some unlisted markets received support in the form of facility improvement from local governments' budgets in the early stage of the special law's enforcement. The current government also assists with safety issues involving unlisted markets; however, the current special law provides no legal framework for unlisted markets. Moreover, consumers cannot tell the difference between unlisted markets and listed ones. Finding a solution to this problemrequires new standards and a wider scope of support by which the efficiency of the market improvement support system might be enhanced.