• 대한간호학회지
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• 제35권1호
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• pp.16-26
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• 2005

Purpose: The purpose of this study was to explore the psychosocial adjustment process in adolescents with epilepsy in the context of Korean society and culture. Method: A grounded theory method was used for data collection and analysis. Participants for this study were 9 adolescents who regularly visited an epilepsy clinic in a university hospital. The data was collected through in-depth interviews during the period from November, 2002 to June, 2003. Data collection and analysis were performed simultaneously. Result: Twenty-three categories emerged including 'suffering', 'psychological stigma', and 'social isolation from one's peers'. Categories were divided into paradigms which consisted of conditions, actions/ interactions, and consequences. 'Reconstructing life' was the core category in this study. The theoretical scheme was described by organizing categories around the core category. Conclusion: This study provides a framework for the development of individualized nursing interventions to care for adolescents with epilepsy.

• International Journal of Internet, Broadcasting and Communication
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• 제12권3호
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• pp.25-31
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• 2020

The study is a phenomenological analysis of the video simulation clinical practice experience recently conducted on nursing students due to the outbreak of corona 19 worldwide. A total of eight students participated in the vSim class who understood the purpose of the study and wanted to participate voluntarily. The data collection conducted a total of three interviews until no new data was available, and the collection period was from June 22, 2020 to July 10, 2020. The collected data were analyzed with the Giorgi's Phenomenological Analysis Method. As a result of the study, three components and 13 semantic units were derived. vSim was difficult for students, but it was an interesting experience that made them feel like nurses, and it was an experience in which they were immersed in learning rather than face-to-face classes, and their skills improved.

• 지역사회간호학회지
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• 제19권3호
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• pp.368-377
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• 2008

Purpose: The Purpose of this study was to investigate the effects of perceived stress on cognition in the community elderly. Methods: This was a descriptive study. Data were collected using individual-based interviews from 40 senior residents at the hall for the elderly in S City. The period of data collection was from June 19 to July 7, 2006. The tools of data collection were Mini-Mental State Examination (Folstein, Folstein, & McHugh, 1975) and Perceived Stress Scale (Cohen, Kamarck, & Mermelstein, 1983). Results: Cognition showed significant differences according to gender education, and regular exercise. Cognition was significantly correlated to stress and age. Stress was significantly correlated to orientation, recall, and attention/calculation. In the results of stepwise multiple regression, factors affecting cognition were stress, age, and gender. Conclusion: It is necessary to prepare health promotion programs that can reduce stress level in the community elderly.

• 한국경영과학회지
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• 제39권2호
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• pp.1-19
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• 2014

Recently, one of the core keywords in information technology (IT) as well as areas such as business management is big data. Big data is a term that includes technology, personnel, and organization required to gather/manage/analyze collection of data sets so large and complex that it becomes difficult to manage and analyze using traditional tools. The military has been accumulating data for a long period due to the organization's characteristic in placing emphasis on reporting and records. Considering such characteristic of the military, this study verifies the possibility of improving the performance of the military organization through use of big data and furthermore, create scientific development of operation, strategy, and support environment. For this purpose, the study organizes general status and case studies related to big data, traces back examples of data utilization by Korean's national defense sector through US military data collection and case studies, and proposes the possibility of using and applying big data in the national defense sector.

• 한국IT서비스학회지
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• 제18권1호
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• pp.187-200
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• 2019

Bankruptcy prediction model is an issue that has consistently interested in various fields. Recently, as technology for dealing with unstructured data has been developed, researches applied to business model prediction through text mining have been activated, and studies using this method are also increasing in bankruptcy prediction. Especially, it is actively trying to improve bankruptcy prediction by analyzing news data dealing with the external environment of the corporation. However, there has been a lack of study on which news is effective in bankruptcy prediction in real-time mass-produced news. The purpose of this study was to evaluate the high impact news on bankruptcy prediction. Therefore, we classify news according to type, collection period, and analyzed the impact on bankruptcy prediction based on sentiment analysis. As a result, artificial neural network was most effective among the algorithms used, and commentary news type was most effective in bankruptcy prediction. Column and straight type news were also significant, but photo type news was not significant. In the news by collection period, news for 4 months before the bankruptcy was most effective in bankruptcy prediction. In this study, we propose a news classification methods for sentiment analysis that is effective for bankruptcy prediction model.

• 한국환경과학회지
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• 제4권3호
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• pp.153-167
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• 1995

Recycling is receiving increasing social attention today as our nation begins to grapple with the significant problems caused by huge amount of municipal solid waste. The topic of recycling is not simple but extremely complicated. This study attempts to provide basic data and policy options for expanding and improving separated collection and recycling in public residential areas, through three case study of apartment housing areas in Taegu Metropolitan City. The main results of this study are summarized as follows. For the significant period of time, all three case areas had in common the extreme difficulty in establishing and operating the system of connecting public participation, collection and storage, transportation, and actual recycling of materials because of a variety of problems involved in this process. Both amounts of and prices for collected materials fluctuated considerably over time mainly due to monthly changes in recyclable home materials and the dynamic nature of recycling markets. Public questionnaire survey revealed the very high level of participation in separated collection, not only because almost all respondents well understood the necessity and importance of recycling, but because they also knew how to do separated collection. But overall activities were rated low and most respondents suggested the enlargement of public participation, the improvement of collection and storage facilities, and collection transportation networks. In particular, most respondents had little experience of using recycled Products and used mainly reproduced soap and bathroom tissue. Furthermore, they were considerably unsatisfied with low variety and quality of recycled products, their high prices and low availability in the market. Finally potential policy options and activities for improving separated collection and recycling are suggested.

• 한국컴퓨터정보학회논문지
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• 제24권5호
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• pp.131-137
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• 2019

This study was aimed to identify a study on risk perception and safety knowledge and awareness of scuba diver. In order to achieve this purpose, a total of 310 customers over the age of 20 were selected as study participants form diving pools and dive resort in Seoul, Gyeonggi, Gangwon, Gyeongsang area using the convenience sampling method. However, only data from 295 customers were used after screening the data for reliability. The instrument for data collection was a questionnaire, and descriptive statistics, inter-item consistency reliability, t-test, ANOVA, post hoc test, correlation analysis, pearson chi-square test were conducted on the data using the SPSS 21.0 version statistical package program. The followings are the results: First, risk perception differs significantly according to age, education level, occupation and participation period. Second, participation period and safety knowledge have positive correlation.

• Asian Pacific Journal of Cancer Prevention
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• 제15권22호
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• pp.9731-9737
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• 2014

Large scale secular registry or surveillance systems have been accumulating vast data that allow mathematical modeling of cancer incidence and mortality rates. Most contemporary models in this regard use time series and APC (age-period-cohort) methods and focus primarily on predicting or analyzing cancer epidemiology with little attention being paid to implications for designing cancer registry, surveillance or evaluation initiatives. This research models age-specific cancer incidence rates using logistic growth equations and explores their performance under different scenarios of data completeness in the hope of deriving clues for reshaping relevant data collection. The study used China Cancer Registry Report 2012 as the data source. It employed 3-parameter logistic growth equations and modeled the age-specific incidence rates of all and the top 10 cancers presented in the registry report. The study performed 3 types of modeling, namely full age-span by fitting, multiple 5-year-segment fitting and single-segment fitting. Measurement of model performance adopted adjusted goodness of fit that combines sum of squred residuals and relative errors. Both model simulation and performance evalation utilized self-developed algorithms programed using C# languade and MS Visual Studio 2008. For models built upon full age-span data, predicted age-specific cancer incidence rates fitted very well with observed values for most (except cervical and breast) cancers with estimated goodness of fit (Rs) being over 0.96. When a given cancer is concerned, the R valuae of the logistic growth model derived using observed data from urban residents was greater than or at least equal to that of the same model built on data from rural people. For models based on multiple-5-year-segment data, the Rs remained fairly high (over 0.89) until 3-fourths of the data segments were excluded. For models using a fixed length single-segment of observed data, the older the age covered by the corresponding data segment, the higher the resulting Rs. Logistic growth models describe age-specific incidence rates perfectly for most cancers and may be used to inform data collection for purposes of monitoring and analyzing cancer epidemic. Helped by appropriate logistic growth equations, the work vomume of contemporary data collection, e.g., cancer registry and surveilance systems, may be reduced substantially.

• Journal of Ecology and Environment
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• 제47권4호
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• pp.187-192
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• 2023

The United States (US) National Science Foundation's (NSF's) National Ecological Observatory Network (NEON) is a continental-scale observation facility, constructed and operated by Battelle, that collects long-term ecological data to better understand and forecast how US ecosystems are changing. All data and samples are collected using standardized methods at 81 field sites across the US and are freely and openly available through the NEON data portal, application programming interface (API), and the NEON Biorepository. NSF led a decade-long design process with the research community, including numerous workshops to inform the key features of NEON, culminating in a formal final design review with an expert panel in 2009. The NEON construction phase began in 2012 and was completed in May 2019, when the observatory began the full operations phase. Full operations are defined as all 81 NEON sites completely built and fully operational, with data being collected using instrumented and observational methods. The intent of the NSF is for NEON operations to continue over a 30-year period. Each challenge encountered, problem solved, and risk realized on NEON offers up lessons learned for constructing and operating distributed ecological data collection infrastructure and data networks. NEON's construction phase included offices, labs, towers, aquatic instrumentation, terrestrial sampling plots, permits, development and testing of the instrumentation and associated cyberinfrastructure, and the development of community-supported collection plans. Although colocation of some sites with existing research sites and use of mostly "off the shelf" instrumentation was part of the design, successful completion of the construction phase required the development of new technologies and software for collecting and processing the hundreds of samples and 5.6 billion data records a day produced across NEON. Continued operation of NEON involves reexamining the decisions made in the past and using the input of the scientific community to evolve, upgrade, and improve data collection and resiliency at the field sites. Successes to date include improvements in flexibility and resilience for aquatic infrastructure designs, improved engagement with the scientific community that uses NEON data, and enhanced methods to deal with obsolescence of the instrumentation and infrastructure across the observatory.

• 대한간호학회지
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• 제31권6호
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• pp.1055-1066
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• 2001

The Purpose of this study is to understand the meaning and the essence of suffering as viewpoint and to find the meaning and structure of the experience from encounters with patients in their terminal stages of illness. Method: A descriptive design based on the phenomenological approach model developed by Collaizzi was used. The period of data collection was from August to November of 2000. Data collection was conducted by open-ended and audio-taped interviews. The participants were nine female nurses who were willing to take part in this study. Results: Results of this study were classified into five main categories. The main category clusters were "difficulty in experiencing suffering," "professional challenges to expert nurses," "formation of empathic relationships," "expanding consciousness through suffering," and "alleviation of the patient's suffering." Conclusion: In conclusion, the implications for providing nursing care to end-stage patients in the throes of suffering is both rewarding and stressful. However, sharing these research results may help other nurses discover and experience deeper meanings in their own practice and careers.deeper meanings in their own practice and careers.