• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.2
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• pp.115-124
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• 2016

Purpose: The purpose of this study was to examine the degree of intensive and critical care nursing competence in senior nursing students. Methods: The research method for this study comprised a descriptive survey study with a convenience sample of 113 senior nursing students from one university. The instrument entitled ICCN-CS-1, which measures intensive and critical care nursing competence, was translated by the authors following WHO guidelines for translation process. The data were collected using ICCN-CS-1. Results: The mean score of intensive and critical care nursing was above the intermediate level. The competence indices of knowledge, skill and attitude/value were also above the intermediate level, which suggests that their competence is good. For two intensive and critical care nursing domains, the nursing students' mean score of clinical competence is higher than that of professional competence. The competence of intensive and critical care is also influenced by nursing students' satisfaction in their major and clinical practice as well as their confidence in clinical practice. Conclusion: The senior nursing students' competence of intensive and critical care nursing is above the intermediate level. A consideration of the influencing factors of satisfaction of nursing major/ICU practice and confidence of ICU practice is needed in intensive and critical care nursing education.

• Women's Health Nursing
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• v.6 no.3
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• pp.358-371
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• 2000

The purpose of this study was to provide the basic, data for developing a program for effective prevention for Postpartum Depression (PPD) by investigating the level of PPD in postpartum 2 weeks women. The subjects were 384 women who visited obstetrical clinics for postnatal care. The data were collected from June 29. 1999 to April. 2000, using a 46-item questionnaire related to PPD, and analyzed by SAS program for t-test, ANOVA, Scheffe test, stepwise multiple regressions. The results were as follows : 1. The level of PPD according to general characteristics Women had mild PPD (Min score; 46.0, Max score; 124.0). The PPD levels were significantly differences according to religion and marital satisfaction (p<0.05). 2. The level of PPD according to obstetrical characteristics 1) Characteristics related to pregnancy The PPD levels were significantly differences according to mood change, confidence of body weight recovery, depression related to appearance change, husband's help to housework, and husband's emotional support (p<0.05). 2) Stressful events during pregnancy The PPD levels were significantly differences according to financial problem, conflict between partners, conflict between family, and husband's job change (p<0.05). 3) Characteristics related to delivery and post natal period The PPD levels were significantly differences according to baby's health state, parenting confidence, and difficulties related to postpartum care (p<0.05). 3. The variables to predict postpartum depression in postpartum women are depression related to appearance change (10.4%), parenting confidence (8.8%), husband's help to housework (2.7%), confidence of body weight recovery (2.4%), husband's job change (1.9%), baby's health state (1.9%), difficulties related to postpartum care (1.6%), mood change (1.2%), conflict between partners (0.6%), marital satisfaction (0.5%), financial problem (0.4%). The sum total of all the above variables can account for 32.4% of postpartum depression. 4. The level of PPD according to PPD factors. Women had the highest degree of PPD in biophysiological phenomena-disturbance of physical functioning factor. The factors of relationship to baby-negative feeling and cognitive phenomena-self concept disturbance were showed the lowest degree of PPD. As a result of the above findings, a systemic and individualized program is strongly recommended for PPD prevention, diagnosis, and care for PPD in postpartum women. In near future, this study should be expanded to investigate the coping skills according to the PPD levels in postpartum women.

• Computers and Concrete
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• v.21 no.5
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• pp.485-493
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• 2018

Statistical analysis has found useful application in the design of experiments (DOE) especially optimization of concrete ingredients however, to be able to apply the concept properly using computer aided applications there has to be an upper and lower limits of responses fed to the system. In this study, the production of high-performance steel fiber concrete (HPSFC) at five different fiber addition levels by volume with two aspect ratios of 60 and 83 were studied under two curing methods completely dry cured (DC) and moist cured (MC) conditions. In other words, this study was carried out for those limits based on material properties available in North Cyprus. Specimens utilized were cubes 100 mm size casted and cured for 28 days and tested for compressive strength. Minitab 18 statistical software was utilized for the analysis of results at a 5 per cent level of significance. Experimentally, it was observed that, there was fluctuation in compressive strength results for the two aspect ratios and curing regimes. On the other hand P-value hypothesis evaluation of the response showed that at the stated level of significance, there was a statistically significant difference between dry and moist curing conditions. Upper and lower limit values were proposed for the response to be utilized in DOE for future studies based on these material properties. It was also suggested that for a narrow confidence interval and accuracy of the system, future study should increase the sample size.

• Asian Journal of Innovation and Policy
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• v.9 no.1
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• pp.36-55
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• 2020

Climate change is one of the most discussed issues in international for a today. Evaluating the effect of climate change at a regional level and setting up an appropriate policy to address the issues associated with climate change require a proper evaluation process on the climate change and adaptation projects already implemented. Although various evaluation approaches to climate change adaptation programs have been proposed, it is rare to find a proper systematic approach to evaluating the reliability of those climate change adaptation programs. In the current situation regarding the system to evaluate climate change adaptation programs, the purpose of this study is to suggest a theoretical and standardized evaluation system on the reliability of climate change adaptation schemes. The new approach suggested in this paper will be appropriate when requiring a confidence level for adaptation programs that are specially localized and categorized. Using various quantitative and qualitative evaluation methods with the inherent reality mechanism, we provide a conceptual framework to measure the reliability of climate change adaptation programs with a flexible adjustment process. With the proposed framework, it is possible to provide the level of confidence on the results collected from the evaluation systems and construct a standardized, system-wide assessment procedure toward climate change adaptation policies. By applying this approach based on scientific evidence on the reliability of climate change adaptation policies, appropriate and efficient climate change adaptation programs will be properly designed for and implemented in Korea.

• Advances in nano research
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• v.12 no.4
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• pp.387-403
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• 2022

Silica nanoparticles, which have a broad range of sizes and specific surface features, have been used in many industrial applications. This study was conducted to synthesize monodispersed silica nanoparticles directly from tetraethyl orthosilicate (TEOS) with an alkaline catalyst (NH₃) based on the sol-gel process and the Stöber method. A central composite design (CCD) is used to build a second-order (quadratic) model for the response variables without requiring a complete three-level factorial experiment. The process was then optimized to achieve the minimum particle size with the lowest concentration of TEOS. Dynamic light scattering and scanning electron microscopy were used to analyze the size, dispersity, and morphology of the synthesized nanoparticles. After optimization, a confirmation test was carried out to evaluate the confidence level of the software prediction. The results revealed that the predicted optimization is consistent with experimental procedures, and the model is significant at the 95% confidence level.

• Ocean and Polar Research
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• v.39 no.2
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• pp.73-84
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• 2017

The probability distribution of ichthyoplankton is important for enhancing the precision of sampling while reducing unnecessary surveys. To estimate the ichthyoplankton detection proportion (IDP) and its margin of error (ME), the monitoring information of the chub mackerel's (Scomber japonicus) ichthyoplankton presence-absence sampling data has been were collected over approximately 30 years (from 1982 to 2011) in the Korean coastal seas. Based on the computed spatial distributions of the mackerel's IDP and ME, the confidence interval (CI) range, defined as 2 ME, decreases from approximately 80% to 40% as the sample size n increases from 4 to 24 and the ME is approximately 40% in the typical (seasonal survey) case n = 4 per year. The IDP and ME off Jeju Island are relatively high at the 0.5-degree smoothing level. After increasing the spatial smoothing level to 1.0-degree, the ME decreased, and the spatial distribution pattern also changed due to the over-smoothing effects. In this study, the 0.5-degree smoothing is more suitable for the distribution pattern than the 1.0-degree smoothing level. The area of the high IDP and the low ME on the mackerel's ichthyoplankton was similar to the estimated spawning ground in the Korean peninsula. This information could contribute to enhancing for the spawning ecology surveys.

• The Korean Journal of Financial Management
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• v.22 no.1
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• pp.119-146
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• 2005

This study applies extreme value theory to get extreme value-VAR for Korean Stock market and showed the usefulness of the approach. Block maxima model and POT model were used as extreme value models and tested which model was more appropriate through back testing. It was shown that the block maxima model was unstable as the variation of the estimate was very large depending on the confidence level and the magnitude of the estimates depended largely on the block size. This shows that block maxima model was not appropriate for Korean Stock market. On the other hand POT model was relatively stable even though extreme value VAR depended on the selection of the critical value. Back test also showed VAR showed a better result than delta VAR above 97.5% confidence level. POT model performs better the higher the confidence level, which suggests that POT model is useful as a risk management tool especially for VAR estimates with a confidence level higher than 99%. This study picks up the right tail and left tail of the return distribution and estimates the EVT-VAR for each, which reflects the asymmetry of the return distribution of the Korean Stock market.

• Korean Journal of Veterinary Research
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• v.47 no.4
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• pp.417-423
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• 2007

Serological surveillance programs in animal populations are becoming increasingly important to estimate prevalence of a specific disease and subsequently to document disease-free status in a region or a country. For these purposes, the programs need to be based on both theoretical and economical aspects from the designing phase. From Aujeszky's disease (AD)-eradication program point of view, group of animals (aggregates, herds) not individual animal is the more important sampling unit of concern. In this study the authors therefore attempted to compute an appropriate sample size tailored to a current surveillance program against AD, assuming that the goal of this program is either herd-level prevalence estimation or documentation of AD-freedom. For prevalence estimation, assuming a finite population with imperfect sensitivity (Se) and specificity (Sp) of ELISA kit for AD diagnosis, the number of herds present, expected herd prevalence, and desired accuracy for a certain level of confidence, sample size was estimated at herd-level in the first stage and individual animal-level in the second stage. A two-stage sampling design was used to calculate a sample size to indicate AD-freedom. In this instance, the computation was based on the possible detection of a predetermined prevalence at a certain herd-level Se and Sp. This study indicated that the sample size varied with predetermined confidence, tolerance, Se and Sp at herd- and animal-level, and within- and among-herd prevalence. In general, smaller sample size was required to estimate AD prevalence than to document of AD-freedom. Compared to individual-based samples, two-stage sampling strategy requires a larger sample size to show disease-freedom. Statistical considerations including herd-level test characteristics when designing surveillance program also are further discussed.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.217-224
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• 2020

The purpose of this study is to discuss implications for government policy aimed at increasing public's intention to accept AI. Knowledge regarding AI and feelings regarding AI were found to influence acceptance to intention towards AI. Hierarchical regression analysis was then conducted to explore the moderation effect of confidence in government on knowledge and feelings regarding AI. Results showed that as advanced knowledge regarding AI has a positive influence on acceptance intention towards AI and negative feelings regarding AI has a negative influence on acceptance intention towards AI. Feelings regarding AI had the highest impact on acceptance intention towards AI, followed by confidence in government and knowledge regarding AI. Results also revealed that a high level of confidence in government regulations was associated with greater acceptance intention towards AI and a low level of confidence in government regulations acceptance intention towards AI was more influenced by feelings regarding AI than by knowledge regarding AI. Furthermore, religion had a significant influence on acceptance intention towards AI, which provides one insightful direction for future research.

• Korean Parent-Child Health Journal
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• v.8 no.1
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• pp.75-88
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• 2005

Purpose: This study was to examine the relationship between perceived the past parent-child relationship(caring and overprotection), present parent-child attachment (communication, confidence, alienation) and self-concept of woman college students. Method: The data was collected from March 15 through 26, 2004. The subjects in this study were 395 students who attended universities located in N and T city. The data analyzed using with SAS program, and analysis of variance, Pearson correlation analysis, multiple regression. Results: Concerning the connection of demographic variables to the past parent-child relations(caring and overprotection), current parent-child attachment(communication, confidence, alienation) made a Significant difference in economic family standard (p<.05), educational level of their fathers(p<.01), birth of order(p<.05) and whether or not they lived with their parents under the same roof(p<.05), past experience of living with their parents under the same roof(p<.01). The relationship of the past parent-child relations(caring and overprotection), and current parent-child attachment(communication, confidence, alienation) made a significant difference to communication(p<.001), confidence(p<.001), alienation(P<.001). The correlation among the past parent-child relations(caring and overprotection), current parent-child attachment(communication, confidence, alienation) and self-concept, caring had significantly positive correlation(p<.001) with communication(r=0.631), confidence(r=0.669) and self-concept(r=0.520), and had significantly negative correlation(p<.001) with overprotection(r=-0.369), alienation(r=-0.531). The overprotection had Significantly negative correlation(p<.001) with communication(r=-0.303) confidence(r=-0.369) and self-concept(r=-0.292), and that had significantly positive correlation(p<.001) with alienation (r=0.275). Overall, the past parent child relations(caring and overprotection) made a 28.2% prediction of self-concept, and the current parent-child attachment(communication, confidence and a sense or alienation) made a 46.1% prediction or self-concept, and their predictability was all significant. Conclusion: This study suggests that perceived the past parent-child relationship(caring and overprotection) is significant influencing factors on present parent-child attachment(communication, confidence, alienation), self-concept. Therefore, nursing strategy is needed to manage these revealed factors.