• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.349-358
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• 2022

This study was aim to understand the relationship between uncertainty, social isolation, social support and resilience of coronavirus infectious diseases-19 (COVID-19) patients and to identify factors related to resilience. Data were carried out from March 7 to May 5, 2021, and a total of 200 questionnaires were used for data analysis. Data were analyzed with descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and multiple regression using SPSS WIN 24.0 program. As a result of the analysis, the lower the sense of social isolation, the higher the social support, the satisfaction with the explanation of isolation and the economic status of 'medium' were identified as related factors for resilience. Based on the above results, a systematic program should be developed and applied to improve the resilience of COVID-19 patients including strengthening social support through families and health care providers, reducing social isolation through non-face-to-face counseling, providing sufficient information about diseases, and providing economic support.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.20-20
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• 2015

최근 기후변화의 영향으로 전 세계적으로 홍수와 가뭄의 발생빈도가 증가하고 있다. 특히, 가뭄은 우리나라에서 겨울과 봄철을 중심으로 매년 발생되고 있다. 가뭄의 정확한 발생을 판단하기는 어려우나, 가뭄이 발생되면 그 진행속도는 홍수보다 느리기 때문에 초기에 가뭄의 발생가능성을 예측한다면 가뭄에 대한 피해를 줄일 수 있다. 따라서 최근 가뭄 예측에 대한 다양한 연구가 이루어지고 있다. 본 연구에서는 가뭄발생의 불확실성을 내포하기 위하여 Bayesian Network (BN) 모형과 SPI의 자기상관성을 바탕으로 가까운 미래의 가뭄 발생확률을 예측하는 방법을 제안하였다. BN은 변수들 간의 인과관계를 확률적으로 나타낼 수 있는 네트워크 모형으로, 자연현상에 대한 위험도 분석 및 의학 분야에서 질병추정을 위한 모형으로 활용되고 있다. 본 연구에서는 가까운 미래의 가뭄 예측을 위하여 APEC 기후센터(APEC Climate Center, APCC)에서 제공하는 다중모형앙상블(Multi-model Ensemble, MME) 강우예측 결과로 도출한 미래 SPI 및 과거 강우량 자료로 구축한 SPI를 부모노드로, 예측 SPI를 자식노드로 BN을 구축하였다. BN의 각각의 노드를 Gaussian 확률분포모형으로 가정한 뒤, Likelihood weighting 방법으로 주변사후분포확률(Marginal posterior distribution)을 추정하여 미래의 SPI의 발생확률을 계산하였다. 2008년부터 2013년의 BN 가뭄 예측값과 MME 강우예측 결과로 도출한 SPI를 실제 관측 강우량으로 산정한 SPI와 비교하였으며, BN이 실제 관측결과에 가까운 결과가 도출되었다. 본 연구에서는 BN을 활용하여 가까운 미래의 가뭄 발생가능성을 확률적으로 나타낼 수 있는 방법을 제시하였으며, 그 결과 가뭄상태별 가뭄 발생확률이 산정되었다.

• Nuclear Engineering and Technology
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• v.21 no.3
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• pp.171-185
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• 1989

On the basis of equal health hazard risk, economic assessment of nuclear was compared with that of coal for the expansion planning of electric power generation in the year 2000. In comparing health risks, the risk of coal was roughly ten times higher than that of nuclear according to various previous risk assessments of energy system. The zero risk condition can never be achievable. Therefore, only excess relative health risk of coal over nuclear was considered as social cost. The social cost of health risk was estimated by calculation of mortality and morbidity costs. Mortality cost was ＄250,000 and morbidity cost was ＄90,000 in the year 2000.(1986US＄) Through Cost/Benefit Analysis, the optimal emission standards of coal-fired power generation were predicted. These were obtained at the point of least social cost for power generation. In the year 2000, the optimal emission standard of SOx was analyzed as 165ppm for coal-fired power plants in Korea. From this assessment, economic comparison of nuclear and coal in the year 2000 showed that nuclear would be more economical than coal, whereas uncertainty of future power generation cost of nuclear would be larger than that of coal.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.14 no.10
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• pp.1017-1023
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• 2003

Recently, the use an electric apparatus has brought into concerns about health risks from exposure to electromagnetic fields. During the last 2 decades, a number of epidemiological studies have explored the association between childhood leukaemia and residential exposure to power-frequency electromagnetic fields. Several studies have suggested that there is a small excess leukaemia risk with magnetic field exposure above 2 mG. A number of governmental and international organizations have developed exposure gudelines. The most rigid regulation with exposure levels for the elementary school and hospital has been enacted by Switzerland. Although there is no convincing supportive laboratory evidence, and the absence of a plausible biological mechanism of disease causation limits, governments are increasingly called on to adopt precautionary approaches to regulating electromagnetic field exposures. The government would need to establish the policy for electromagnetic fields and continually to be concerned about possible health risks from exposure to electromagnetic fields.

• Journal of Korean Academy of Nursing
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• v.24 no.4
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• pp.529-544
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• 1994

For most parents their child's illness and hospitalization is strssful. Internal stress and over anxiousness leads to uncertainty. Parents have a variety of ways of coping when faced with such stress factors, especialy when the child has cancer. The purpose of this study was to examine the relationship between uncertainty in illness and mastery and coping styles in parents of pediatric cancer patients, and further to identify differences between three groups of subjects. A cross-sectional descriptive correlational design was used in this study to investigate the relationship among the three groups. The sample was composed of 59 parents of children with cancer in pediatric wards in three hospitals in Seoul : 21 in Group 4 with a child newly diagnosed with cancer : 25 in Group B, with a child under treatment and rehospitalized with a relapse : and 13 in Group C, with a child with a terminal cancer, A formalized questionnaire which included demegrapic information and consisted of 75 items was used in this study ; The Parent Perception of Uncertainty Scale(PPUS) adapted form Mishel’s Uncertainty in Illness Scale, Pearlin & Schooler's Mastery Scale(MS) and Folkman & Lazarus’s Ways of Coping Checklist(WCC) were used to measure the variables : uncertainty in illness, mastery, and coping styles. A pretest was conducted on the questionnaire items for reliability. The results gathered were analyzed using SPSS /PC/sup +/. Data analysis included descriptive correltional statistics such as ANOVA, Pearson Correlation Coefficient, amd chi square test. The conclusions of this analysis are summarized as follows : 1. A higher level of uncertainty was seen among parents of children with terminal cancer. 2. The first hypothesis that uncertainty in illness would differ among the three groups was supported(F=4.182, P=.020). The second and third hypotheses that mastery and coping styles would differ among the three groups were not supported. There was a correlation between uncertainty, mastery, and coping styles which was positive, also there was a positive correlation between mastery and coping style(r=.3744, P<.001) but a negative correlation between uncertainty md mastery(r=-.4749, P<.01). From the above results, it can be concluded that prediciting and controlling uncertainty in illness by considering coping styles and mastery are necessary for improved, efficient nursing interventions.

• Child Health Nursing Research
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• v.4 no.2
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• pp.274-285
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• 1998

Improvements in therapy have resulted in increasing numbers of children being successfully treated for cancer. However the agrressiveness of therapy & uncertainty about prognosis are associated with many adverse effects, psychological as well as physical for both the child & family. The purpose of this study were to measure the degree of perceived uncertainty, self-efficacy & coping, and then to examine the relationship between the perceived uncertainty, self-efficacy & coping in parents of children cancer patients. The subjects of this study consist of 140 parents with pediatric cancer, registered at pediatric cancer ward & Out Patient Department. Data was collected from July 1st to August 15th 1998. The tools used in this study were Mishel's the Parents' Perception of Uncertainty Scale (28 item, 4 likert scale), Shere's Self-Efficacy Scale (17 item, 5 likert scale) & Folkman & Lazarus Ways of Coping Checklist(34 items, 4 likert scale). Data was analyzed by t-test, Anova, Pearson Correlation coefficient. Results of this study are summerized as follows 1. Parents perceived their uncertainty to be slightly high(Mn 2.41). The degree of perceived uncertainty by the four components were followed as lack of clarity (2.60), unpredictability(2.59), ambiguity(2.51) & lack of information(1.90). The degree of perceived uncertainty of parents with pediatric cancer revealed to be influenced significantly by the family outcome, reliability about health care provider & perceived severity of illness. 2. The range of parents' self-efficacy was measured iron 35 to 85 point, so revealed slightly high. The degree of self-efficacy related to be Influenced signiicantly by the sequency of child birth, family religion & degree of perceived support. 3. The degree of parents' coping was measured slightly high (Mn 2.78). The degree of coping related to be influnced significantly by the sequency of child birth, number of sible & degree of perceived support. 4. parents' uncertainty was related inversely to the parents' self-efficacy(r=-.38, p<.001) & coping(r=-.26, p<.001). And also parents' self-efficacy was positively related to coping(r=.56, p<.001) From the above results, it can be concluded that predicting & controlling parents' uncertainty with children cancer are necessary to improve positive coping strategies. This information may be used as a foundation for developing nursing interventions to decrease perceived uncertainty & to foster self-efficacy & coping for parents with children cancer.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1797-1808
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• 2021

Artificial intelligence is considered one of the core technologies leading the 4th industrial revolution. It is adopted in various fields bringing about a huge paradigm shift throughout our society. The field of biotechnology is no exception. It is undergoing innovative development by converging with other disciplines such as computers, electricity, electronics, and so on. In drug discovery and development, big data-based AI technology has a great potential of improving the efficiency and quality of drug development, rapidly advancing to overcome the limitations in the existing drug development process. AI technology is to be specialized and developed for the purpose including clinical efficacy and safety-related end points based on the multidisciplinary knowledge such as biology, chemistry, toxicology, pharmacokinetics, etc. In this paper, we review the current status of AI technology applied for drug discovery and consider its limitations and future direction.

• Korean Journal of Adult Nursing
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• v.23 no.1
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• pp.20-30
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• 2011

Purpose: The aim of this study was to examine patients with Chronic Hepatitis B (CHB) and their level of knowledge of their disease, uncertainty, stress and health behaviors and to identify factors influencing their health behavior. Methods: A cross-sectional, descriptive design was used. The sample included 136 patients in a gastroenterology outpatient department at one hospital located in Seoul. The mean age of the subjects was 41 and 77.2% were male. Data were collected using a structured questionnaire from April to June 2009. The collected data were analyzed using SPSS/WIN 15.0. Results: The reported scores for knowledge of the disease, uncertainty, stress, and health behaviors were 14.43, 81.50, 26.50, 52.11, respectively. There were statistically difference between health behaviors and gender, age, marital status and antivirus treatment. A positive correlation existed between knowledge of disease and health behaviors (r=.199, p=.020). In contrast, there was a negative correlation between uncertainty and health behaviors (r=-.250, p=.003). The factors influencing health behaviors were knowledge of disease, gender, age, uncertainty, antivirus treatment, and marital status ($R^2$=.267, p<.001). Conclusion: These findings support that strategies for enhancing knowledge of disease and reducing uncertainty are needed to promote health behavior in patients with CHB.

• Journal of Korean Academy of Nursing
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• v.52 no.3
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• pp.308-323
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• 2022

Purpose: This study aimed to construct and test a predictive model for the quality of life (QOL) in mothers of children with developmental disabilities (DB). The hypothesized model included severity of illness, distress, uncertainty, self-help, and parenting efficacy as influencing factors, QOL as a consequence based on the Braden's Self-Help Model. Methods: The data were collected through a direct and online surveys from 206 mothers in 8 locations, including welfare or daycare centers, developmental treatment centers, and The Parents' Coalition for the Disabled located in two provinces of Korea. Data were analysed using SPSS/WIN 23.0 and AMOS 21.0 program. Results: The fit indices of the predictive model satisfied recommended levels; 𝛘² = 165.79 (p < .001), normed 𝛘² (𝛘²/df) = 2.44, RMR = .04, RMSEA = .08, GFI = .90, AGFI = .85, NFI = .91, TLI = .93, CFI = .95. Among the variables, distress (β = - .46, p < .001), parenting efficacy (β = .22, p < .001), and self-help (β = .17, p = .018) had direct effects on QOL. Severity of illness (β = - .61, p = .010) and uncertainty (β = - .08, p = .014) showed indirect effects. The explanatory power of variables was 61.0%. Conclusion: The study results confirm the utility of Braden's Self-Help Model. They provide a theoretical basis for improving QOL in mothers of children with DB. Nursing intervention strategies that can relieve mothers' distress and uncertainty related to disease and enhance parenting efficacy and self-help behavior should be considered.

• Journal of Food Hygiene and Safety
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• v.14 no.4
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• pp.319-326
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• 1999

Recently, it is continuously rising to concern about the health risk being induced by microorganisms in food such as Escherichia coli O157:H7 and Listeria monocytogenes. Various organizations and regulatory agencies including U.S.FPA, U.S.DA and FAO/WHO are preparing the methodology building to apply microbial quantitative risk assessment to risk-based food safety program. Microbial risks are primarily the result of single exposure and its health impacts are immediate and serious. Therefore, the methodology of risk assessment differs from that of chemical risk assessment. Microbial quantitative risk assessment consists of tow steps; hazard identification, exposure assessment, dose-response assessment and risk characterization. Hazard identification is accomplished by observing and defining the types of adverse health effects in humans associated with exposure to foodborne agents. Epidemiological evidence which links the various disease with the particular exposure route is an important component of this identification. Exposure assessment includes the quantification of microbial exposure regarding the dynamics of microbial growth in food processing, transport, packaging and specific time-temperature conditions at various points from animal production to consumption. Dose-response assessment is the process characterizing dose-response correlation between microbial exposure and disease incidence. Unlike chemical carcinogens, the dose-response assessment for microbial pathogens has not focused on animal models for extrapolation to humans. Risk characterization links the exposure assessment and dose-response assessment and involve uncertainty analysis. The methodology of microbial dose-response assessment is classified as nonthreshold and thresh-old approach. The nonthreshold model have assumption that one organism is capable of producing an infection if it arrives at an appropriate site and organism have independence. Recently, the Exponential, Beta-poission, Gompertz, and Gamma-weibull models are using as nonthreshold model. The Log-normal and Log-logistic models are using as threshold model. The threshold has the assumption that a toxicant is produce by interaction of organisms. In this study, it was reviewed detailed process including risk value using model parameter and microbial exposure dose. Also this study suggested model application methodology in field of exposure assessment using assumed food microbial data(NaCl, water activity, temperature, pH, etc.) and the commercially used Food MicroModel. We recognized that human volunteer data to the healthy man are preferred rather than epidemiological data fur obtaining exact dose-response data. But, the foreign agencies are studying the characterization of correlation between human and animal. For the comparison of differences to the population sensitivity: it must be executed domestic study such as the establishment of dose-response data to the Korean volunteer by each microbial and microbial exposure assessment in food.