• 대한간호학회지
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• 제36권5호
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• pp.813-820
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• 2006

Purpose: This study examined the effects of individual reminiscence therapy on older adults' depression, morale, and the quality of life. Methods: The design was a single-group pre-test and post-test study. Subjects consisted of 31 older adults from two senior centers and a welfare center in Seoul. Individual reminiscence therapy was applied to study subjects four times, once a week for an hour at each time. Measurement tools were the Geriatric Depression Scale Short Form Korea (GDSSF-K) for depression, Mun Ae-ri's (1996) scale for morale, and Medical Outcomes Study Short Form 36 (SF-36) for the quality of life. Data was analyzed using descriptive statistics, paired t-test, and pearson correlation. Results: The application of individual reminiscence therapy reduced older adults' depression (t=-5.65, p=.000), and enhanced older adults' morale (t=4.65, p=.000). The application of individual reminiscence therapy improved older adults' quality of life (t=5.00, p=.000). Conclusion: Findings of the study suggest that individual reminiscence therapy may be applied as a nursing intervention that contributesto the improvement of older adults' quality of life, reduces their depression, and enhances their morale.

• 환경정책연구
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• 제13권1호
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• pp.25-47
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• 2014

여기에서는 CEP-CFP 간의 관련성 관련 연구들을 종합하고 체계적으로 분석해 보고 서로 다른 맥락에서 이루어진 연구들을 비교하여 조절변수를 찾아내기 위해 메타분석을 시도하였다. 연구결과를 보면 첫째, 다섯 가지 CEP척도는 모두 CFP척도와 양의 관련성을 보였으나 환경투자 척도는 유의하지 않았다. CFP척도는 모두 CEP와 정의 상관을 보여 주었다. 둘째, CEP-CFP 간의 관련성을 설명하는 조절변인을 확인하기 위한 메타분석의 결과는 측정방식과 분석(추정)모형은 CEP-CFP 간의 관계를 조절하였다. 반면에 출판년도, 시차변수의 포함 여부, 표본 크기, 학술지 종류는 조절변수로서의 역할을 수행하지 않았다.

• Journal of Information Technology Applications and Management
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• 제19권3호
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• pp.31-47
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• 2012

As the dependence on information is increasing, the protection of personal information (PI) becomes a critical issue for the organizations, causing not only financial loss but also negative impacts on corporate images and reputations. To date, academic research in this area is scarce. This study analyzes the factors affecting the establishment and/or implementation of Personal Information Management System (PIMS) and provides direction for the practice. In this study, we assume that PIMS is one of the new technology adopted by organizations, and Unified Theory of Acceptance and Use of Technology (UTAUT) model is selected as a base model for the study. Using structural equation modeling technique, both measurement and structural models are validated, and hypotheses are tested. Major findings of the study include (1) the major driver of the organizations attempting to adopt PIMS seems to be the improvement of the business outcomes, (2) organizational capability and resource are important in the establishment of PIMS, and (3) the perceived difficulty of the establishment of PIMS is not affecting the intention to adopt PIMS. Since the importance of personal information security is high, establishment of PIMS is becoming one of the critical issues in the organizations. The establishment of PIMS should be encouraged to strengthen the competitiveness of businesses and to enhance the security level of the entire nation. It is expected that this study may contribute to developing plans and policies for establishment of PIMS in practice, and to providing a foundation for further research in this area.

• The Journal of Asian Finance, Economics and Business
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• 제3권3호
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• pp.57-65
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• 2016

The purpose of this paper is to investigate the volatility of both Islamic and conventional stock market in Indonesia with the aim of identifying the most appropriate model for risk management practice. The study considers GARCH as a genre of model to measure the volatility of stock market movement. The results support the view that each model shows specific volatility from both Islamic and conventional stock market in Indonesia. In Islamic stock market, volatility is affected by exchange rate and money supply (M1) but not interest rate as interest is prohibited in Islam. However, interest rate is found as a principal factor that affects volatility of conventional stock market. The outcomes of this paper are of particular significance to policy makers, as it provides guidelines to maintain economic health. Furthermore, the findings may assist practitioners to understand the consequences of macroeconomic factors such as exchange rate, money supply and interest rate, which are very crucial for the market stability of Indonesian stock market. The paper enhances the understanding of stock market volatility and proposes guidelines risk management practices.

• 한국멀티미디어학회논문지
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• 제21권7호
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• pp.779-786
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• 2018

In this paper, we are applied a nerve network to allow for the reflection of data learning methods in their overall forms by using cluster data rather than data learning by the stages and then selected a nerve network model and analyzed its variables through learning by the cluster. The CkLR algorithm was proposed to analyze the reaction variables of clustering outcomes through an approach to the initialization of K-means clustering and build a model to assess the prediction rate of clustering and the accuracy rate of prediction in case of new data inputs. The performance evaluation results show that the accuracy rate of test data by the class was over 92%, which was the mean accuracy rate of the entire test data, thus confirming the advantages of a specialized structure found in the proposed learning nerve network by the class.

• Communications for Statistical Applications and Methods
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• 제23권2호
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• pp.131-146
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• 2016

In research on behavioral studies, significant attention has been paid to the stage-sequential process for longitudinal data. Latent class profile analysis (LCPA) is an useful method to study sequential patterns of the behavioral development by the two-step identification process: identifying a small number of latent classes at each measurement occasion and two or more homogeneous subgroups in which individuals exhibit a similar sequence of latent class membership over time. Maximum likelihood (ML) estimates for LCPA are easily obtained by expectation-maximization (EM) algorithm, and Bayesian inference can be implemented via Markov chain Monte Carlo (MCMC). However, unusual properties in the likelihood of LCPA can cause difficulties in ML and Bayesian inference as well as estimation in small samples. This article describes and addresses erratic problems that involve conventional ML and Bayesian estimates for LCPA with small samples. We argue that these problems can be alleviated with a small amount of prior input. This study evaluates the performance of likelihood and MCMC-based estimates with the proposed prior in drawing inference over repeated sampling. Our simulation shows that estimates from the proposed methods perform better than those from the conventional ML and Bayesian method.

• 한국식생활문화학회지
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• 제33권2호
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• pp.104-111
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• 2018

This study aims to compare and analyze a willow tree (Salix Koreensis andersson) extract's antioxidant and anti-inflammatory activity by investigating its: total polyphenol, flavonoid content, SOD-like activity, DPPH vitality. the willow tree was induced with LPS to determine its active anti-inflammatory effects. as a result, the willow methanol extract showed a higher total polyphenol and flavonoid content than those of willow distilled water extract, but the willow distilled water extract showed a higher SOD than that of willow methanol extract. in its DPPH scavenging ability, the willow methanol extract's antioxidant activity was higher than that of the willow distilled water extract. the willow extract's measurements such as the production of NO, inflammatory cytokine ($TNF-{\alpha}$, IL-6 measurement) were significantly reduced as its concentration level went down. according to the research outcomes, when induced, he will extract's macrophage produces mediator-like substances such as NO and inflammatory cytokine that can be used to alleviate the inflammatory response. therefore, the willow tree proved to be a useful raw plant material for the products designed to combat inflammatory activities due to its natural antioxidant and anti-inflammatory response substances such as NO and cytokine.

• 보건행정학회지
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• 제21권4호
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• pp.541-564
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• 2011

This study aimed to investigate health outcome of acute myocardial infarction (AMI) patients such as mortality and length of stay in hospital and to identify factors associated with the health outcome according to the comorbidity index. Nation-wide representative samples of 3,748 adult inpatients aged between 20-85 years with acute myocardial infarction were derived from the Korea National Hospital Discharge Injury Survey, 2005-2008. Comorbidity index was measured using the Charlson Comorbidity Index (CCI). The data were analyzed using t-test, ANOVA, multiple regression, logistic regression analysis in order to investigate the effect of comorbidity on health outcome. According to the study results, the factors associated with length of hospital stay of acute myocardial infarction patients were gender, insurance type, residential area scale, admission route, PCI perform, CABG perform, and CCI. The factors associated with mortality of acute myocardial infarction patients were age, admission route, PCI perform, and CCI. CCI with a higher length of hospital stay and mortality also increased significantly. This study demonstrated comorbidity risk adjustment for health outcome and presented important data for health care policy. In the future study, more detailed and adequate comorbidity measurement tool should be developed, so patients' severity can be adjusted accurately.

• 한국태양에너지학회 논문집
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• 제34권6호
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• pp.27-37
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• 2014

Heat island is caused by changes of land coverage structure of cities and use of energy in buildings. As a result energy use in buildings get to increase further followed by rising of GHG emission and deteriorating climate change. Eco-friendly housing complex is a kind of plan that applies environmental control elements like water and green spaces to housing complex. With these methods, it can be expected to create thermal environment of indoor and outdoor. In this paper quantitative examination is studied on using CFD to find out the effects of river, water permeable, parks and planting on thermal environment. And by comparing field measurements with CFD results which are aimed to development phase housing complex, feasibility and usability of the CFD analysis results are confirmed. And also, analysis on the ventilation performance followed by natural ventilation system is analyzed by selecting one building in housing complex. Based on the results, the possibilities of energy reduction through making thermal environment and applying natural ventilation are studied. With these outcomes, creating thermal conditions and using natural ventilation would be contributed to GHG reduction.

• 설비공학논문집
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• 제27권2호
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• pp.103-111
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• 2015

In general, no particularly well-established standards have been in place so far, for the method of evaluating the deteriorated level of pipes and ducts of industrial facilities. For that reason, the evaluation depends upon various studies which are based on the analysis of the residual life, thickness thinning, closure rate, and scale thickness that measure a few specific positions of pipes. It also depends upon the expertise in business operation and the specific techniques conducted by the inspection companies and institutions. This research introduces the concept of measuring units per section and the selection method of measurement points per section. Furthermore, specific methodologies were developed to plan and analyze deterioration level of industrial pipes and ducts by engineers and managers using a section map. Consequently, applying the outcomes from this study to the plant equipment of the incineration facility resulted in saving 42% of the repairing and remodeling cost.