• Korean Journal of Adult Nursing
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• v.20 no.5
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• pp.719-730
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• 2008

Purpose: This study was done to identify the influencing factors of spiritual health in patients suffering from women cancers. Methods: The subjects were 130 in woman patients who were diagnosed with women cancer(breast Ca & uterine Ca) at three university hospitals and one general hospital. Data collection was conducted by using 4 questionnaires. The collected data were analyzed using frequency, percentage, t-test, ANOVA, Pearson's correlation coefficients, stepwise multiple regression. Results: Spiritual health score was middle. There were a significant correlation between spiritual health and depression, pain, fatigue and effects of religion. There were significant differences in spiritual health according to the education level, monthly income, meaning of religion or god, Frequency of attendance at worship. The most powerful predictor of spiritual health was depression(27.2%). Altogether depression, effects of religion, pain, and education level explained 46.1% of spiritual health of women cancer patients. Conclusion: It suggested that concepts of depression, effects of religion, pain, and education level should be considered in developing spiritual health promoting program for women cancer patients.

• International Journal of Contents
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• v.8 no.4
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• pp.56-63
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• 2012

In recent decades, analyzing the activities of human brain achieved some accomplishments by using the functional Magnetic Resonance Imaging (fMRI) technique. fMRI data provide a sequence of three-dimensional images related to human brain's activity which can be used to detect instantaneous cognitive states by applying machine learning methods. In this paper, we propose a new approach for distinguishing human's cognitive states such as "observing a picture" versus "reading a sentence" and "reading an affirmative sentence" versus "reading a negative sentence". Since fMRI data are high dimensional (about 100,000 features in each sample), extremely sparse and noisy, feature selection is a very important step for increasing classification accuracy and reducing processing time. We used the Fisher Discriminant Ratio to select the most powerful discriminative features from some Regions of Interest (ROIs). The experimental results showed that our approach achieved the best performance compared to other feature extraction methods with the average accuracy approximately 95.83% for the first study and 99.5% for the second study.

• The Research Journal of the Costume Culture
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• v.10 no.1
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• pp.13-27
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• 2002

Applying H. Gans' taste culture theory to the comtemporary fashion phenomena this study had an object to classify the fashion phenomena in Korea and Japan from 1995 to 1999, and look into and compare them. First of all, the characters of each fashion group of the two countries show that the details of the Korean traditional costume are grafted into the most popular style in each season in Korean high fashion and oriental look used the formative method far Japanese traditional costume and Tokyo street style are reflected in the Japanese high fashion. Mass fashion in Korea equally comes under the influence of European high fashion, Korean street fashion, and Japanese mass fashion, And mass fashion in Japan reflects European high fashion and japanese street fashion. The Street fashion in Korea was affected by Korean entertainers'fashion, 'Tongdaemun market fashion' in Seoul, and Japanese street fashion. And street fashion in Japan is also affected by the pursuit of powerful personality, the absolute imitation if Japanese entertainers' fashion, and 'Tongdaemun market fashion'. All of two countries exercise considerable influence over mass fashion each other.

• Journal of Korean Academy of Nursing
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• v.34 no.2
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• pp.297-306
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• 2004

Purpose: This study was done to identify the relationship between social support and morale in the elderly. Method: A structured questionnaire was carried out from April, 2003 to June, 2003 on 203 elderly. The data was analyzed with a SPSS program for descriptive statistics, Pearson's correlation coefficients, t-test, ANOVA, and stepwise multiple regression was done Result: The level of social support was moderate, and family support was the highest score. In types of support, appraisal support was the highest score. The level of morale was slightly lower than moderate, and the score of social support showed significantly positive correlation with morale. In general characteristics, several variables were significantly related to social support and morale. The most powerful predictor of morale was material support by family and the variance was 19.6%. A combination of material support by family, emotional support by relatives, level of satisfaction with pocket money, perceived health, level of intimacy with one's children, and material support by friends account for 43.3% of the variance in morale of the elderly. Conclusion: To increase the morale of the elderly, it is necessary to consolidate material support by family and relatives.

• Journal of Korean Academy of Nursing
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• v.34 no.5
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• pp.702-711
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• 2004

Purpose: The purpose of this study was to identify the relationship among perceived stress, ways of coping, and health promoting behaviors in patients with chronic cardiovascular disease(CCVD). Method: Data was collected by questionnaires from 436 patients with CCVD in a General Hospital in Seoul. The data was analyzed using descriptive statistics, Pearson correlation coefficients, and stepwise multiple regression. Result: The health promoting behavior showed a significant positive correlation with self-efficacy and social support. Also, the health promoting behavior showed a significant negative correlation with perceived stress and symptoms of stress. The stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behaviors was symptoms of stress. Conclusion: A combination of symptoms of stress, social support, self-efficacy, and perceived stress account for 41% of the variance in health promoting behaviors of patients with CCVD. Data from this study suggest that symptoms of stress, social support, ways of coping, and perceived stress are significant influencing factors on health promoting behaviors of patients with CCVD.

• Journal of the Korean Magnetic Resonance Society
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• v.19 no.3
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• pp.132-136
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• 2015

Nuclear magnetic resonance (NMR) spectroscopy, owing to its ability to provide atomic level information on molecular structure, dynamics and interaction, has become one of the most powerful methods in early drug discovery where hit finding and hit-to-lead generation are mainly pursued. In recent years, drug discovery programs originating from the fragment-based drug discovery (FBDD) strategies have been widely incorporated into academia and industry in which a wide variety of NMR methods become an indispensable arsenal to elucidate the binding of small molecules onto bimolecular targets. In this review, I briefly describe FBDD and introduce NMR methods mainly used in FBDD campaigns of my company. In addition, quality control of fragment library and practical NMR methods in industrial aspect are discussed shortly.

• Journal of Microbiology
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• v.34 no.3
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• pp.236-240
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• 1996

Rifampin is the most powerful drug for treating leprosy and tuberculosis today. It inhibits initiation and elongation of RNA transcription by binding to $\beta$-subunit of RNA polymerase, leading to kill mycobacteria. We isolated one variant strain of Mycobacterium leprae from 24 Korean leprosy patients who are less susceptible to rifampin or have suffered from relapse by polymerase chain reaction and single strand conformation polymorphism (PCR-SSCP) of the rpoB gene. Direct sequencing of the rpoB region of M. leprae variant revealed missense mutations which altered the amino acids sequenceof RpoB to Ser-464, Arg-465, Arg-467 and Ala-468. This is the first finding on rpoB gene mutation of M. leprae from Korean patients ; moreover the mutant type was found to be different from the previously reported cases in other countries.

• 한국IT서비스학회:학술대회논문집
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• 2002.06a
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• pp.238-243
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• 2002

With the advancement of information technology and the proliferation of e-Business, CRM has been emerging as a powerful concept or strategy for dealing with customer relationship, though not a new concept. Most CRM applications have been focused on business situation where there are direct channels with customers, as in retailing and banking industry, etc. In this paper, we analyze the case of a manufacturing company where the primary concern lies on indirect channels management, such as selling agencies and distributors. Some issues related to the characteristics of the manufacturing company and the interface with ERP and SCM need to be investigated. Based on the consultation project with L company, we propose a successful CRM implementation strategy and point out some issues in implementing the CRM for a manufacturing company.

• Journal of the Korean Operations Research and Management Science Society
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• v.17 no.2
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• pp.45-54
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• 1992

It become increasingly important to design user interface to carry low complexity. The cognitive limitations of users severely restrict utility of highly intelligent but complex modern systems. Since humans are known to use schemas to reduce cognitive complexity, imposing good consistency to an interface design that may help that user form useful schemas will provide powerful control over the complexity. This present a research effort to develop a quantitative method for evaluating interface complexity that the user would experience planning his or her course of action. Taking into account the user's potential schemas, a quantitative measure based on information theory was develped to assess the navigational complexity. This approach does not rely on the subjective judgment of the researcher as most schemes dealing with user schemas do. The proposed method may benefit the rapid prototyping approach to design a better user interface by allowing handy assessment of the design.

• The Journal of Korea Robotics Society
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• v.3 no.1
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• pp.68-72
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• 2008

Combining robot and network gives us many advantages like lightweight hardware specification of robot, a various robot service, simple upgrade of robot, easy management and so on. Among these advantages, Presence service and openAPI are most important. Presence is simple but powerful service. It makes user to know the status information of robot and enables user to control robot from a remote place. OpenAPI which is also a feature of WEB2.0 enables $3^{rd}$ parties to make a various mashup service easily and rapidly. Finally presence and openAPI can help URC service to be ubiquitous and successful.