• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.3
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• pp.330-340
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• 2017

Purpose: This study was conducted to explore the relationship between simulation-based clinical judgment and performance ability for tracheal suction in nursing students. Methods: With a convenience sampling, 207 nursing students participated in this descriptive study. Lasater clinical judgment rubric was used for self-reported clinical judgment in addition to observe the skill of tracheal suction using a checklist. Data were analyzed by descriptive statistics, t-test and Pearson's correlation coefficients using the SPSS/WIN 22. Results: A scenario with pneumonia patient was developed to observe the skill of tracheal suction during simulation-based practices. Then self-reported clinical judgment was scored. The mean score of total sum of clinical judgment, total mean of clinical judgment, and performance skill were $36.44{\pm}4.82$, $13.44{\pm}1.71$, and $42.32{\pm}5.05$, respectively. Statistically, students having good skills in suction showed significant differences in clinical judgment of interpreting (p=.031) compared to students having fair skills. Conclusion: The results of this study show that a structured debriefing method utilizing Lasater clinical judgment rubric is helpful. Also, simulation-based practice related to adult nursing in the respiratory system was useful for increasing the core basic skills among nursing students.

• Korean Journal of Adult Nursing
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• v.23 no.5
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• pp.460-471
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• 2011

Purpose: This study was designed to investigate the levels of anxiety, depression, physical symptoms, and supportive care needs in patients with hematologic malignancy and to identify predictive factors of supportive care needs. Methods: The data were collected from 100 subjects undergoing treatments during 2010 in Korea. The questionnaires included the Hospital Anxiety-Depression Scale, the M. D. Anderson Symptom Inventory, and the Supportive Care Needs Survey-Short Form 34. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation, and stepwise multiple regression. Results: Forty percent of the subjects had anxiety and 58% had depression. Thirty-eight percent of the subjects reported to have moderate-to-severe levels of physical symptoms. The most severe physical symptom was lack of appetite, followed by fatigue and pain. In terms of supportive care needs, the health system and information domain showed the highest among all domains. Supportive care needs had a significant positive correlation with anxiety, depression, and physical symptoms. And its predictive factors were identified as anxiety, physical symptoms and marital status, with the explanatory power of 48.9%. Conclusion: These findings demonstrate that anxiety and physical symptoms should be assessed and treated to meet the supportive care needs of patients with hematologic malignancies.

• Korean Journal of Adult Nursing
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• v.21 no.1
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• pp.53-61
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• 2009

Purpose: This study was to provide baseline data to arrange systematic management for the infectious waste. Methods: This data was collected by self-reported questionnaires from a total of 419 subjects, ie nurses, nurse's aides and laboratory technicians working at a university hospital located in G city. The collected data were analyzed by t-test or ANOVA, Tukey test, Pearson's correlation, and multiple regression analysis using SPSS/WIN 12.0. Results: The knowledge of the infectious waste was statistically significant in type of staff and level of education. Attitude was statistically significant in type of staff, age group, level of education, working period, and marital status. And also the practice of the subject was statistically significant in type of staff, age group, education level, the working periods, and marital status. There was positive association between attitude and practice(r=.63, ${\rho}$< 001). By means of multiple stepwise regression analysis, total variance explained by the attitude towards infectious wastes, single employee, and the working periods less than ten years was 44% of the practice of infectious wastes. Conclusion: An educational program focusing on strategy to change employee's attitude can be effective for building a well-organized management system.

• Korean Journal of Adult Nursing
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• v.25 no.1
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• pp.95-104
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• 2013

Purpose: The purpose of this study was to investigate the level of resilience, family support, anxiety and depression in patients with hematologic malignancy, and to determine modifiable psychosocial factors that affect their resilience. Methods: Data were collected from 104 patients undergoing curative therapy at 'S' hospital in Seoul. The data were collected from April to May, 2012. The questionnaires included Korean Version of Connor-Davidson Resilience Scale, Family Support Scale and Hospital Anxiety-Depression Scale. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation and stepwise multiple regression. Results: Resilience had statistically significant correlation with family support (r=.43, p<.001), anxiety (r=-.49, p<.001) and depression (r=-.52, p<.001). Factors influencing resilience were depression, family support, anxiety and time since diagnosis with R-sq. value of 36%. Conclusion: The results of the study show that family support, anxiety and depression have important influences on resilience of patients with hematologic malignancy. Thus, family support needs to be reinforced when developing and implementing nursing intervention, and nurses need to intervene to reduce anxiety and depression of patients with hematologic malignancy.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.3
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• pp.482-490
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• 2006

Purpose: The purposes were to survey the level of work stress, social support, burnout of insurance review nurses and to measure the main & buffering effect of perceived social support on burnout. Method: The samples were 285 insurance review nurses who were registered in Review Nurses Association of Korea at the period of 25 July and 12 August in 2005. Data were analyzed by using of t-test, Pearson's correlation, stepwise multiple regression, two-way ANOVA. Results: There were significant differences of burnout according to the work experience, position, and work satisfaction of insurance review nurses. Among the variables explaining the level of burnout of review nurses, the most significant variable was work stress, followed by current work satisfaction, social support, position and total variance explained was 40.8%. For the analysis of the buffering effects of perceived social support on work stress and burnout, the interaction between work stress and social support was not significant. Conclusions: It is necessary to construct the social support system and to reduce the work stress in order to reduce the level of the burnout of insurance review nurses.

• Fashion & Textile Research Journal
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• v.7 no.1
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• pp.49-55
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• 2005

The purpose of this study was to examine consumers' perception toward business ethics and ethics management in fashion industry. Subjects were 236 women in age from 20 to 28 years old in Seoul for this study. For data analysis, descriptive statistics, factor analysis, Pearson's Correlations, t-test, and ANOVA were used. As the results, business ethics had 2 factors; 'IMBE(Importance of Business Ethics)' and 'INBE(Interest of BE)', while ethics management encompassed 5 factors such as 'ethics management evaluation', 'healthy industry environment', 'environment task', 'fair business system', and 'customer convenience'. There were statistically differences between men and women in IMBE and INBE. That is, generally, women had higher scores on both than men. Also, subjects in business major had higher scores on IMBE and INBE than those in other majors. Finally, seniors and juniors tend to have higher scores on IMBE and INBE than freshman and sophomore subjects. Based on these results, fashion marketing strategies would be suggested.

• Journal of Environmental Impact Assessment
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• v.22 no.3
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• pp.231-240
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• 2013

The Purpose of this research was to propose positioning strategies of urban park (UP) based on the assessment of location characteristics at cheongju city. To do that, this research found out urban park service area (UPSA) using GIS network analysis and built socio-economic attribute database, UP map, and other public service thematic maps such as public transportation, education, child-care, and convenience services. And this research analyzed spatial and attribute data using Pearson's correlation analysis, multiple linear regression, and binary logistic regression methods. As a result of this analysis, 1) the nearer neighborhood park and children's park, the higher land price and assumption income level (AIL). 2) children's parks were closed to living convenience facilities such as bank, hospital, and convenience store. 3) land price, AIL, population, and other public services level (PSL) in UPSA were higher than that of non-UPSA. 4) The higher land price, AIL, population, and other PSL, the higher urban park service level. The results of this research may contribute to resolve the regional UP unbalance and to improve UP service level as public service.

• The Korean Journal of Health Service Management
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• v.9 no.4
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• pp.51-62
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• 2015

Objectives : Identify the factors that affect organizational citizenship behavior of hospital nurses, and to provide a basis for developing an effective nursing workforce management system. Methods : Participants of this study were 214 nurses serving at general hospitals located in B Metropolitan City. Data collection was performed from Oct.15th to 25th, 2014. The methods of analyzing data were ANOVA, Scheffe's-Test, Pearson's Correlation Coefficient Analysis and the Stepwise Multiple Regression Analysis according to the SPSS WIN 18.0 Program. Results : Emotional intelligence explained 42.1% of the subjects' organizational citizenship behaviors. This figure increased to 48.7, 51.3 and 52.3%, respectively when other three factors of job satisfaction, age and educational background were added on a one-by-one basis. Conclusions : Considering that emotional intelligence is a critical factor in organizational citizenship behaviors, general hospitals should develop and implement education and training programs that can raise their nurses' emotional intelligence and job satisfaction and, concomitantly, promote their organizational citizenship behaviors provided that feedbacks is provided later.

• Journal of Information Science Theory and Practice
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• v.8 no.2
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• pp.6-17
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• 2020

Word similarity is often measured to enhance system performance in the information retrieval field and other related areas. This paper reports on an experimental comparison of values for word similarity measures that were computed based on 50 intentionally selected words from a Reuters corpus. There were three targets, including (1) co-occurrence-based similarity measures (for which a co-occurrence frequency is counted as the number of documents or sentences), (2) context-based distributional similarity measures obtained from a latent Dirichlet allocation (LDA), nonnegative matrix factorization (NMF), and Word2Vec algorithm, and (3) similarity measures computed from the tf-idf weights of each word according to a vector space model (VSM). Here, a Pearson correlation coefficient for a pair of VSM-based similarity measures and co-occurrence-based similarity measures according to the number of documents was highest. Group-average agglomerative hierarchical clustering was also applied to similarity matrices computed by individual measures. An evaluation of the cluster sets according to an answer set revealed that VSM- and LDA-based similarity measures performed best.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.11a
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• pp.224-228
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• 2002

제품의 품질 및 가격 뿐만 아니라 물질적 풍요로움과 더불어 다변화 되어가는 생활 환경 속에서 소비자의 감성과 선호도를 파악하는 것은 제품 판매 전략의 중요한 성공요소가 되고 있다. 이를 위하여 제품의 기능적 측면 뿐만 아니라 개개인의 정서적 감정과 선호도가 반영된 제품의 설계나 디자인 또한 요구되고 있다. 본 연구에서는 소재 개발의 프로세스가 고객 중심으로 변화하는 것에 대응하여 사용자의 감성과 선호도를 중심으로 소재를 개발하는 방법의 하나로 협력적 필터링 개인화 기법을 응용하여 섬유 패션 디자인 추천 시스템을 제안한다. Textile 기반의 협력적 필터링 시스템에서 예측에 사용될 이웃의 수를 결정하기 위해서 Representative Attribute-Neighborhood를 사용한다. 이웃들간의 사용자 유사도 가중치는 피어슨 상관 계수(Pearson Correlation Coefficient)를 사용한다. 소재에 대한 사용자의 감성이나 선호도에 대한 Textile의 대표 감성 형용사를 추출함으로써 소재 개발을 위한 감성 형용사 데이터 베이스를 구축한다. 구축된 감성 형용사 데이터 베이스를 기반으로 성향이 비슷한 사용자에게 Textile을 추천한다. 사용자 선호도 예측과 Textile 기반의 협력적 필터링 기술을 이용한 섬유 패션 디자인 추천 에이전트를 구축하여 시스템의 논리적 타당성과 유효성을 검증하기 위해 실험적인 적용을 시도하고자 한다.