• Journal of Korean Society of Transportation
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• v.9 no.2
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• pp.57-74
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• 1991

Deregulation privatization regionalism and globalization are the specific examples of the recent trends in the world air transport market. As encouraged by the international trends and the domestic policy of promoting market mechanism Korean has been driving a two-airline policy since 1989. But due to the absence of experience and philosophy about the airline co-mpetition both Korean government and the two airlines have been criticized for failing to set fair-competition rules and for struggling to secure air service rights regardless of national interest. Therefore this study shows the costs and benefits of a two-airline policy in a small count-ry reviews the empirical studies about the cost structure of American and Canadian airlines and analyzes the economic consequences of allocating air service rights between two airlines. The policy recommendations are (1) removing government restrictions and expanding ai-rport facilities to develop the domestic market (2) retaining the two-airline policy in the in-ternational market (3) increasing traffic density rather than expanding network for the small airline (4) improving comparative advantage through a global alliance and a technological innovation for the big airline and (5) building an official committee for co-ordinating the two airlines' interests.

• Journal of Korean Library and Information Science Society
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• v.40 no.2
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• pp.409-427
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• 2009

The purpose of this paper is to trace the changes in the curricula of the Departments of Library and Information Science in the past fifty years. Under the assumption that the education for librarians is supposed to be changed by the influences of the various surroundings, the curricula in the 1960s, 1980s and 2000s of the Departments are analyzed. The past data were collected by literature searches and the present ones on the homepages. It was found out that there have been many changes along with constancies in the curricula. The results are interpreted and some recommendations are suggested.

• The Korean Journal of Food And Nutrition
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• v.26 no.3
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• pp.438-446
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• 2013

This paper investigated the purchase behavior of Kimchi products by surveying housewives in Jeonbuk area who have purchased Kimchi products. The studied consumers purchased Kimchi products for the convenience and time-saving aspects. Factors taken into account when purchasing Kimchi were hygiene, taste and ingredients. The main places of purchase for Kimchi products were large discount markets. The purchase information paths were product displays at stores and recommendations from acquaintances. The most purchased type of Kimchi products was cabbage Kimchi. An one-time purchase amount was 10,000~30,000 won. The most purchased size was to be 500 g~1 kg. Desired improvements for Kimchi products were a display of the ingredients origin, exclusion of monosodium glutamate, freshness, and hygiene. Based on the results, this research aids in analyzing the marketing mix (4P: product, price, place, promotion) of Kimchi products for Kimchi manufacturers.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.51-61
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• 2021

If one is looking for an organization that will be responsive to community needs, stimulate economic growth, and raise people's income, cooperatives should be an obvious choice (Calkins & Ngo, 2005; Larocque et al., 2002). This paper investigates whether the households' income is affected by the access to cooperatives for the case of Phong Dien district, Can Tho city of Vietnam. Data used are directly collected from 250 households that are both participating (120 observations) and not participating in the cooperatives in Truong Long, Tan Thoi, Nhon Ai and Nhon Nghia communes. By using the Probit model, the findings show that there are three statistically significant factors affecting the ability of farm households to participate in the cooperatives at the 1 percent level including land area, distance to market center, and education level. In addition, the PSM model analysis suggests that the average income of cooperative members is significantly higher than that of non-members, about 40.880 million VND/year at the significance level of 1 percent. The empirical results imply that being a cooperative member is a significant contributory factor toward an increase in household income. Based on the research findings, several recommendations to improve the households' income are proposed.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.302-310
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• 2022

Efficient use of limited blood products is becoming very important in terms of socioeconomic status and patient recovery. To predict the appropriateness of patient-specific transfusions for the intensive care unit (ICU) patients who require real-time monitoring, we evaluated a model to predict the possibility of transfusion dynamically by using the Medical Information Mart for Intensive Care III (MIMIC-III), an ICU admission record at Harvard Medical School. In this study, we developed an explainable machine learning to predict the possibility of red blood cell transfusion for major medical diseases in the ICU. Target disease groups that received packed red blood cell transfusions at high frequency were selected and 16,222 patients were finally extracted. The prediction model achieved an area under the ROC curve of 0.9070 and an F1-score of 0.8166 (LightGBM). To explain the performance of the machine learning model, feature importance analysis and a partial dependence plot were used. The results of our study can be used as basic data for recommendations related to the adequacy of blood transfusions and are expected to ultimately contribute to the recovery of patients and prevention of excessive consumption of blood products.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1080-1099
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• 2023

Digital healthcare combined with telemedicine services in the form of convergence with digital technology and AI is developing rapidly. Digital healthcare research is being conducted on many conditions including shock. However, the causes of shock are diverse, and the treatment is very complicated, requiring a high level of medical knowledge. In this paper, we propose a shock detection method based on the correlation between shock and data extracted from hemodynamic monitoring equipment. From the various parameters expressed by this equipment, four parameters closely related to patient shock were used as the input data for a machine learning model in order to detect the shock. Using the four parameters as input data, that is, feature values, a random forest-based ensemble machine learning model was constructed. The value of the mean arterial pressure was used as the correct answer value, the so called label value, to detect the patient's shock state. The performance was then compared with the decision tree and logistic regression model using a confusion matrix. The average accuracy of the random forest model was 92.80%, which shows superior performance compared to other models. We look forward to our work playing a role in helping medical staff by making recommendations for the diagnosis and treatment of complex and difficult cases of shock.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.13-23
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• 2022

In this paper, we propose a detailed component image classification algorithm by fashion item for unstructured data retrieval in the fashion field. Due to the COVID-19 environment, AI-based online shopping malls are increasing recently. However, there is a limit to accurate unstructured data search with existing keyword search and personalized style recommendations based on user surfing behavior. In this study, pre-processing using Mask R-CNN was conducted using images crawled from online shopping sites and then classified components for each fashion item through CNN. We obtain the accuaracy for collar of the shirt's as 93.28%, the pattern of the shirt as 98.10%, the 3 classese fit of the jeans as 91.73%, And, we further obtained one for the 4 classes fit of jeans as 81.59% and the color of the jeans as 93.91%. At the results for the decorated items, we also obtained the accuract of the washing of the jeans as 91.20% and the demage of jeans accuaracy as 92.96%.

• Nutritional Sciences
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• v.8 no.2
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• pp.111-117
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• 2005

It has been more than three decades since the first assay assessing circulating 25 (OH)D in human subjects was performed That publication as well as several that followed it defined 'normal' nutritional vitamin D status in human populations. Recently, the wisdom by which 'normal' circulating 25 (OH)D levels in human subjects were assigned in the past has come under question. It appears that sampling human subjects, who appear to be free from disease, and assessing 'normal' circulating 25 (OH)D levels by plotting a Gaussian distribution is grossly inaccurate. There are many reasons why this method is inaccurate, including race, lifestyle habits, sunscreen usage, age, latitude, and inappropriately low dietary recommendations for vitamin D. For instance, a 400 IU/day. AI for vitamin D is insignificant when one considers that a 10-15 minute whole body exposure to peak summer sun will generate and release up to 20,000 IU vitamin $D_3$ into the circulation. Recent studies, which orally administered up to 10,000 IU/day vitamin $D_3$ to human subjects for several months, have successfully elevated circulating 25 (OH)D levels to those observed in individuals from sun-rich environments. Further, we are now able to accurately assess sufficient circulating 25 (OH)D levels utilizing specific biomarkers instead of guessing what an adequate level is. These biomarkers include intact parathyroid hormone (PTH), calcium absorption, bone mineral density (BMD), insulin resistance and pancreatic beta cell function. Using the data from these biomarkers, vitamin D deficiency should be defined as circulating levels of 25 (OH)D$\leq$30 ng/mL. In certain cases, such as pregnancy and lactation, significantly higher circulating 25 (OH)D levels would almost certainly be beneficial to both the mother and recipient fetus/infant.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.1
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• pp.165-170
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• 2016

Background: Nurses are the most visible, frontline personnel providing health education to patients. In particular, nurse experience with Pap examinations have the potential to influence women's attitudes toward screening for cervical cancer. However, nurses in Taiwan have lower rates of Pap testing than the general population. Understanding the factors predicting nurse intent to have a Pap exam and Pap exam status would inform interventions and policies to increase their Pap exam uptake. Therefore, the present study was undertaken. Materials and Methods: Data were collected by questionnaire from a convenient sample of 504 nurses at a regional hospital in central Taiwan between August and October 2011 and analyzed by descriptive statistics, confirmatory factor analysis, and logistic regression. Results: Nurse intention to have a Pap exam was predicted by younger age, less negative attitudes toward Pap exams, and greater influence of others recommendations. However, nurses were more likely to actually have had a Pap exam if they were older, married, had sexual experience, and had a high intention to have a Pap exam. Conclusions: Nurses who are younger than 34 years old, unmarried, sexually inexperienced, and with low intention to have a Pap exam should be targeted with interventions to educate them not only about the importance of Pap exams in detecting cervical cancer, but also about strategies to decrease pain and embarrassment during exams. Nurses with less negative attitudes and experiences related to Pap exams would serve as role models to persuade women to have Pap exams, thus increasing the uptake rate of Pap exams in Taiwan.

• Proceedings of the Korean Nutrition Society Conference
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• 2004.11a
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• pp.22-33
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• 2004

It has been more than three decades since the first assay assessing circulating 25(OH)D in human subjects was performed. That publication as well as several that followed it defined 'normal' nutritional vitamin D status in human populations. Recently, the wisdom by which 'normal' circulating 25(OH)D levels in human subjects were assigned in the past has come under question. It appears that sampling human subjects, who appear to be free from disease, and assessing 'normal' circulating 25(OH)D levels by plotting a Gaussian distribution is grossly inaccurate. There are many reasons why this method is inaccurate, including race, lifestyle habits, sunscreen usage, age, latitude, and inappropriately low dietary recommendations for vitamin D. For instance, a 400IU/day. AI for vitamin D is insignificant when one considers that a 10-15 minute whole body exposure to peak summer sun will generate and release up to 20,000 IU vitamin $D_3$ into the circulation. Recent studies, which orally administered up to 10,000 IU/day vitamin $D_3$ to human subjects for several months, have successfully elevated circulating 25(OH)D levels to those observed in individuals from sun-rich environments. Further, we are now able to accurately assess sufficient circulating 25(OH)D levels utilizing specific biomarkers instead of guessing what an adequate level is. These biomarkers include intact parathyroid hormone (PTH), calcium absorption, bone mineral density (BMD), insulin resistance and pancreatic beta cell function. Using the data from these biomarkers, vitamin D deficiency should be defined as circulating levels of $25(OH)D{\leq}30ng/mL$. In certain cases, such as pregnancy and lactation, significantly higher circulating 25(OH)D levels would almost certainly be beneficial to both the mother and recipient fetus/infant.