• Journal of agricultural medicine and community health
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• v.19 no.1
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• pp.41-52
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• 1994

The aim of this study was to assess the people's need for visiting health services in a rural area. In recent years, the great concern for the visiting health services has aroused in Korea. Stratified cluster sample for a household survey was used to select 1,255(8.4%) Households from Yonchon county. This study was undertaken from July 26 to August 7 in 1993. Medically defined need, usually expressed by the prevalencies or rates of specific disease, was evaluated with the use of criteria established by medical and nursing professors and expressed by the percent of specific objects for the visiting health services. Perceived need represented by the acceptability for the visiting services and willingness to paying for it, also, evaluated. The major results were as follows : 1. Of the 348 patients with hypertension, 201 were the non-compliant patients, the rate of the non-compliant hypertension patients in 4,577 study population was 7.4%. 2. Of the 141 diabetic patients, 73 were the non-compliant patients, the rate of the non-compliant hypertension patients in 4,577 sample population was 2.7%. 3. The number of patients with severe musculo-skeletal disease was 24, the rate was 0.9% above the age 30. 4. Of the 514 elderly, 33 were the elderly without any family member, the rate was 8.4%. Those with severely decreased activity of daily living were 13. 5. Infants with high risks were 12, pregnant women and neonates were 5, patients discharged within 1 week and with special equipments such as peritoneal dialysis, stoma, TPN etc. were 17, and patients with cancer were 5. Total number of the objects needed visiting health services was 752(18.43%) of the 4,577 study population. Perceived need evaluated were as follows; The acceptance rate of visiting health services was 74.9%, The kinds of visiting health services such as family health protection and promotion, early detection of hypertension, physiotherapy, health education and counseling were needed in the order of high rate The price willing to pay for visiting health services per visit was about 3,000-5,000Won. In conclusion, Visiting health services programme to be developed should have priority to the prevention of complications of chronic disease such as hypertension, diabetes milletus, elderly disease and health promotion.

• Culinary science and hospitality research
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• v.20 no.3
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• pp.90-99
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• 2014

Tarak is our own traditional fermented milk, which is made from lactic acid fermentation by using makgeolli as inoculum for milk or fermented by using Tarak that had already made. we made our own traditional fermented milk and Tarak Pudding by the traditional fermented milk, and then, we investigated the quality characteristics of Tarak Pudding on the addition rates of Tarak. As a result, the more the amount of Tarak, the more the contents of crude protein, crude fat and crude ash of Tarak Pudding according to the percentage of addition of Tarak meaningfully, except for its moisture content (p<0.05). While the pH decreased with more Tarak, the acidity significantly increased. In the case of sugar content, TP 1, 2, and 3 were higher than the control group, and TP 4 showed the higher sugar content(p<0.05). As the result of measurement of chromaticity of Tarak Pudding, the L value of the control group was 38.80. However, it increased with more addition of Tarak, while a value decreased. For the b value, it significantly increased with more Tarak. In the measure of texture, there were significant differences between the control group and the samples in hardness, springiness, cohesiveness, chewiness, and adhesiveness (p<0.05). The sensory evaluation result showed that there were meaningful differences among the samples in their appearance, taste, flavor, texture and overall acceptance. However, due to distinctive sour and odor of Tarak, TP 3 (75% addition) than TP 4 (100% addition) was considered to be desirable.

• Journal of radiological science and technology
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• v.21 no.1
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• pp.35-39
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• 1998

We analyzed image factors to determine the characteristic factors that need for intelligent replenishment system of the auto film processor. We processed the serial 300 sheets of radiographic films of chest phantom without replenishment of developing and fixation replenisher. We took the digital data by using film digitizer which scaned the films and automatically summed up the pixel values of the films. We analyzed characteristic curves, average gradients and relative speeds of individual film using densitometer and step densitometry. We also evaluated the pH of developer, fixer, and washer fluid with digital pH meter. Fixer residual rate and washing effect were measured by densitometer using the reagent methods. There was no significant reduction of the digital density numbers of the serial films without replenishment of developer and fixer. The average gradients were gradually decreased by 0.02 and relative speeds were also gradually decreased by 6.96% relative to initial standard step-densitometric measurement. The pHs of developer and fixer were reflected the inactivation of each fluid. The fixer residual rates and washing effects after processing each 25 sheets of films were in the normal range. We suggest that the digital data are not reliable due to limitation of the hardware and software of the film digitizer. We conclude that average gradient and relative speed which mean the film's contrast and sensitivity respectively are reliable factors for determining the need for the replenishment of the auto film processor. We need more study of simpler equations and programming for more intelligent replenishment system of the auto film processor.

• Journal of Climate Change Research
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• v.1 no.1
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• pp.1-11
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• 2010

This study is analyzed based on the statistical data for the effect of Kyoto Protocol which is adopted on 1997. The first greenhouse gas obligation reduction countries such as OECD (Organization for Economic Cooperation and Development), and the first non-obligated developing countries such as China and India, the increasing rate of carbon dioxide emission displayed -10.2% and 88.1% in 2005 with respect to 1990, respectively. This increasing rate is not only shows statistically significant differences but also shows significant meanings when we consider the global increasing rate of carbon dioxide is 29.1%. Changes in the carbon dioxide emissions are also analyzed based on the time of the adaptation of Kyoto Protocol, time of the publication of the second and third reports of IPCC, and withdrawal of the Kyoto Protocol of the United States. Withdrawal of the Kyoto Protocol of the United States is the most significantly affected to the differences in the carbon dioxide emission rates rather than the adaptation of Kyoto Protocol, international agreement on the greenhouse gas reduction, and belief on the scientific evidence for the reasons for increasing carbon dioxide concentrations. Therefore, acceptance of the post-Kyoto Protocol in the United States is very important in order to success as a climate regime.

• Journal of Food Hygiene and Safety
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• v.38 no.4
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• pp.202-210
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• 2023

To analyze the pesticide residues in commercial bee pollen products in South Korea, 61 samples were collected and screened for 339 pesticides. Results revealed that approximately 34% (>LOQ) of samples were contaminated with at least one pesticide. The pesticide residue detection rates of domestic and imported samples were 31% and 44%, respectively. Furthermore, the pesticide residue detection rate of online distribution (60%) was higher than that of offline distribution (27%). Fifteen pesticides were discovered in bee pollen, and pendimethalin, chlorfenvinphos, chlorpyrifos, and fluazinam were detected in 7, 6, 3, and 2 order of frequency, respectively. Even though its concentration was low, chlorfenvinphos which is banned in food crops in the United States, European Union, and Korea, was detected in bee pollen samples commonly. Therefore, continuous investigation of pesticide residues in bee pollen products and their acceptance criteria is required for safety.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.419-423
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• 2024

With the rapid increase of multicultural families in South Korea due to international marriages and the influx of foreign workers, the number of children from these families enlisting in the military is also rising. It is projected that by 2030, over 10,000 recruits from multicultural backgrounds will join the military annually. This influx can help mitigate the issue of decreasing military resources due to low birth rates and enhance the cultural diversity within the military. However, the lack of multicultural awareness and the presence of discrimination in the military can hinder the well-being of these multicultural soldiers. This study aims to analyze the multicultural phenomenon in the Korean military and explore development strategies to ensure the stable service and healthy military culture for multicultural soldiers. The theoretical background of multiculturalism and diversity in the military is examined, along with the analysis of multicultural military operations in other countries. Management strategies for multicultural soldiers, including leadership and organizational culture innovation, multicultural education and awareness programs, and the establishment of tailored support systems, are proposed. Furthermore, policy recommendations for enhancing the effectiveness of multicultural policies in the Korean military are presented. Supporting the successful military service of multicultural soldiers will contribute to the enhancement of military combat power and the acceptance of multiculturalism in Korean society.

• Radiation Oncology Journal
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• v.11 no.2
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• pp.259-265
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• 1993

Between January 1985 and July 1992, 52 patients with locally advanced nasopharyngeal carcinoma were studied retrospectively for the effectiveness of sequential chemotherapy and radiation therapy. The male to female ratio was 3.3:1 with a median age of 41 years. Forty patients had squamous cell carcinoma and the remaining 12 had undifferentiated carcinoma. Seven patients had stage III disease and the remainder had stage IV disease at time of presentation. All patients were treated two courses of chemotherapy followed by radiation therapy. Chemotherapy consisted of either CVB (cisplatin, vincristine and bleomycin) or CF (cisplatin and 5-FU). Total radiation dose to the primary site ranged from 6000 cGy to 7500 cGy. Neck nodes were given booster treatment to maximum of 7000 cGy, depending on the extent of disease. Local control, overall survival and disease-free survival rates were analyzed. The complete response (CR) rate to chemotherapy was $15\%$ and the partial response (PR) rate was $46\%,$ for overall major response rate of $61\%.$ The CR rate was $87\%$ after radiation therapy. Median follow-up time was 51 months. The overall survival and disease-free survival rates at 36 months were $54\%\;and\;49\%,$ respectively. Median time to relapse was 15 months. The patterns of initial relapse in CR patients was as follows: locoregional failure only, 12 patients; distant metastasis only,11: both,2. Cox's multivariate regression model revealed that nodal status was the single most important independant prognostic factor influencing disease-free survival (p=0.001). Comparision of these results with other published reports with radiation therapy alone showed that a high rate of initial response to chemotherapy did not translate into local control or survival. At present time radiation therapy alone remains the standard treatment for locoregional cancer of the nasopharyngeal cancer. More controlled clinical trials must be completed before acceptance of chemotherapy as a part of treatment of advanced nasopharyngeal carcinoma.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.195-220
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• 2018

In this study, we conducted an empirical analysis of the factors that affect the change of Bitcoin Closing Price. Previous studies have focused on the security of the block chain system, the economic ripple effects caused by the cryptocurrency, legal implications and the acceptance to consumer about cryptocurrency. In various area, cryptocurrency was studied and many researcher and people including government, regardless of country, try to utilize cryptocurrency and applicate to its technology. Despite of rapid and dramatic change of cryptocurrencies' price and growth of its effects, empirical study of the factors affecting the price change of cryptocurrency was lack. There were only a few limited studies, business reports and short working paper. Therefore, it is necessary to determine what factors effect on the change of closing Bitcoin price. For analysis, hypotheses were constructed from three dimensions of consumer, industry, and macroeconomics for analysis, and time series data were collected for variables of each dimension. Consumer variables consist of search traffic of Bitcoin, search traffic of bitcoin ban, search traffic of ransomware and search traffic of war. Industry variables were composed GPU vendors' stock price and memory vendors' stock price. Macro-economy variables were contemplated such as U.S. dollar index futures, FOMC policy interest rates, WTI crude oil price. Using above variables, we did times series regression analysis to find relationship between those variables and change of Bitcoin Closing Price. Before the regression analysis to confirm the relationship between change of Bitcoin Closing Price and the other variables, we performed the Unit-root test to verifying the stationary of time series data to avoid spurious regression. Then, using a stationary data, we did the regression analysis. As a result of the analysis, we found that the change of Bitcoin Closing Price has negative effects with search traffic of 'Bitcoin Ban' and US dollar index futures, while change of GPU vendors' stock price and change of WTI crude oil price showed positive effects. In case of 'Bitcoin Ban', it is directly determining the maintenance or abolition of Bitcoin trade, that's why consumer reacted sensitively and effected on change of Bitcoin Closing Price. GPU is raw material of Bitcoin mining. Generally, increasing of companies' stock price means the growth of the sales of those companies' products and services. GPU's demands increases are indirectly reflected to the GPU vendors' stock price. Making an interpretation, a rise in prices of GPU has put a crimp on the mining of Bitcoin. Consequently, GPU vendors' stock price effects on change of Bitcoin Closing Price. And we confirmed U.S. dollar index futures moved in the opposite direction with change of Bitcoin Closing Price. It moved like Gold. Gold was considered as a safe asset to consumers and it means consumer think that Bitcoin is a safe asset. On the other hand, WTI oil price went Bitcoin Closing Price's way. It implies that Bitcoin are regarded to investment asset like raw materials market's product. The variables that were not significant in the analysis were search traffic of bitcoin, search traffic of ransomware, search traffic of war, memory vendor's stock price, FOMC policy interest rates. In search traffic of bitcoin, we judged that interest in Bitcoin did not lead to purchase of Bitcoin. It means search traffic of Bitcoin didn't reflect all of Bitcoin's demand. So, it implies there are some factors that regulate and mediate the Bitcoin purchase. In search traffic of ransomware, it is hard to say concern of ransomware determined the whole Bitcoin demand. Because only a few people damaged by ransomware and the percentage of hackers requiring Bitcoins was low. Also, its information security problem is events not continuous issues. Search traffic of war was not significant. Like stock market, generally it has negative in relation to war, but exceptional case like Gulf war, it moves stakeholders' profits and environment. We think that this is the same case. In memory vendor stock price, this is because memory vendors' flagship products were not VRAM which is essential for Bitcoin supply. In FOMC policy interest rates, when the interest rate is low, the surplus capital is invested in securities such as stocks. But Bitcoin' price fluctuation was large so it is not recognized as an attractive commodity to the consumers. In addition, unlike the stock market, Bitcoin doesn't have any safety policy such as Circuit breakers and Sidecar. Through this study, we verified what factors effect on change of Bitcoin Closing Price, and interpreted why such change happened. In addition, establishing the characteristics of Bitcoin as a safe asset and investment asset, we provide a guide how consumer, financial institution and government organization approach to the cryptocurrency. Moreover, corroborating the factors affecting change of Bitcoin Closing Price, researcher will get some clue and qualification which factors have to be considered in hereafter cryptocurrency study.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.23-46
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• 2021

Collaborative filtering, which is often used in personalization recommendations, is recognized as a very useful technique to find similar customers and recommend products to them based on their purchase history. However, the traditional collaborative filtering technique has raised the question of having difficulty calculating the similarity for new customers or products due to the method of calculating similaritiesbased on direct connections and common features among customers. For this reason, a hybrid technique was designed to use content-based filtering techniques together. On the one hand, efforts have been made to solve these problems by applying the structural characteristics of social networks. This applies a method of indirectly calculating similarities through their similar customers placed between them. This means creating a customer's network based on purchasing data and calculating the similarity between the two based on the features of the network that indirectly connects the two customers within this network. Such similarity can be used as a measure to predict whether the target customer accepts recommendations. The centrality metrics of networks can be utilized for the calculation of these similarities. Different centrality metrics have important implications in that they may have different effects on recommended performance. In this study, furthermore, the effect of these centrality metrics on the performance of recommendation may vary depending on recommender algorithms. In addition, recommendation techniques using network analysis can be expected to contribute to increasing recommendation performance even if they apply not only to new customers or products but also to entire customers or products. By considering a customer's purchase of an item as a link generated between the customer and the item on the network, the prediction of user acceptance of recommendation is solved as a prediction of whether a new link will be created between them. As the classification models fit the purpose of solving the binary problem of whether the link is engaged or not, decision tree, k-nearest neighbors (KNN), logistic regression, artificial neural network, and support vector machine (SVM) are selected in the research. The data for performance evaluation used order data collected from an online shopping mall over four years and two months. Among them, the previous three years and eight months constitute social networks composed of and the experiment was conducted by organizing the data collected into the social network. The next four months' records were used to train and evaluate recommender models. Experiments with the centrality metrics applied to each model show that the recommendation acceptance rates of the centrality metrics are different for each algorithm at a meaningful level. In this work, we analyzed only four commonly used centrality metrics: degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. Eigenvector centrality records the lowest performance in all models except support vector machines. Closeness centrality and betweenness centrality show similar performance across all models. Degree centrality ranking moderate across overall models while betweenness centrality always ranking higher than degree centrality. Finally, closeness centrality is characterized by distinct differences in performance according to the model. It ranks first in logistic regression, artificial neural network, and decision tree withnumerically high performance. However, it only records very low rankings in support vector machine and K-neighborhood with low-performance levels. As the experiment results reveal, in a classification model, network centrality metrics over a subnetwork that connects the two nodes can effectively predict the connectivity between two nodes in a social network. Furthermore, each metric has a different performance depending on the classification model type. This result implies that choosing appropriate metrics for each algorithm can lead to achieving higher recommendation performance. In general, betweenness centrality can guarantee a high level of performance in any model. It would be possible to consider the introduction of proximity centrality to obtain higher performance for certain models.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.7
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• pp.1030-1037
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• 2010

A fresh juice has become a new functional food available for dieting and health. However, the shelf-life of vegetable juice is very short because of the absence of heat pasteurization process. To elongate the shelf-life of vegetable juices, such as Angelica keiskei and Brassica loeracea var. acephala, the changes of microbiological, chemical and sensory property by UV irradiation were investigated. The total aerobic bacterial numbers of A. keiskei and B. loeracea var. acephala vegetable juices were $3.2{\times}10^5$ and $7.0{\times}10^4\;CFU/mL$, respectively, after wring process. However, the numbers were $3.6{\times}10^3{\sim}9.7{\times}10^3$ and $3.7{\times}10^3{\sim}2.7{\times}10^4\;CFU/mL$ after UV treatment on wring juice, and this lower microbial number was maintained during storage. The number of coliform bacteria also reduced significantly by UV treatment, and the bactericidal effect was higher when the flow rate is slower. The increase of lightness and yellowness, and decrease of redness were observed after treatment of UV on both vegetable juices, but the differences were not significant between flow rates. The ascorbic acid contents of vegetable juices were reduced by UV irradiation regardless of flow rate, and storage. Overall acceptance in sensory analysis revealed that there was no significant difference between the control and vegetable juice irradiated UV at 0 days, but sample with UV treatment showed higher score at 3 days. Therefore, UV treatment on vegetable juice can elongate the shelf-life without any problems in flavor and color.