• Journal of Korean Academy of Nursing
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• v.53 no.1
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• pp.87-100
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• 2023

Purpose: This study aimed to develop a nursing simulation learning module for coronavirus disease 2019 (COVID-19) patient-care and examine its effects on clinical reasoning competence, clinical competence, performance confidence, and anxiety in COVID-19 patient care for nursing students. Methods: A non-equivalent control group pre- and post-test design was employed. The study participants included 47 nursing students (23 in the experimental group and 24 in the control group) from G City. A simulation learning module for COVID-19 patient-care was developed based on the Jeffries simulation model. The module consisted of a briefing, simulation practice, and debriefing. The effects of the simulation module were measured using clinical reasoning competence, clinical competence, performance confidence, and anxiety in COVID-19 patient-care. Data were analyzed using χ²-test, Fisher's exact test, t-test, Wilcoxon signed-rank test, and Mann-Whitney U test. Results: The levels of clinical reasoning competence, clinical competence, and performance confidence of the experimental group were significantly higher than that of the control group, and the level of anxiety was significantly low after simulation learning. Conclusion: The nursing simulation learning module for COVID-19 patient-care is more effective than the traditional method in terms of improving students' clinical reasoning competence, clinical competence, and performance confidence, and reducing their anxiety. The module is expected to be useful for educational and clinical environments as an effective teaching and learning strategy to empower nursing competency and contribute to nursing education and clinical changes.

• Communications for Statistical Applications and Methods
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• v.7 no.3
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• pp.859-869
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• 2000

In this paper, various methods for finding confidence intervals for p of binomial parameter are reviewed. Also we introduce tow bootstrap confidence intervals for p. We compare the performance of bootstrap methods with other methods in terms of average coverage probability by Monte Carlo simulation. Advantages of these bootstrap methods are discussed.

• Journal of the Korean Society of School Health
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• v.30 no.3
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• pp.194-201
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• 2017

Purpose: The aim of the study was to identify factors influencing confidence in performing cardiopulmonary resuscitation (CPR) of university students. Methods: Data were collected from 261 students recruited from 2 cities using a questionnaire covering confidence, knowledge and attitude in regard to CPR. Results: There was a significant positive correlation between confidence and knowledge (r=.37, p<.001), between attitude and confidence (r=.61, p<.001), and between knowledge and attitude (r=.61, p<.001). Confidence in performance increased as knowledge, attitude, grade, CPR training frequency and educational satisfaction increased. Conclusion: There is a need for CPR training programs that can improve practical training and educational satisfaction of university students.

• MALSORI
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• no.64
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• pp.121-135
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• 2007

Speech signal is distorted by channel characteristics or additive noise and then the performances of speaker or speech recognition are severely degraded. To cope with the noise problem, we propose a modified HMM decoder algorithm using SNR-based observation confidence, which was successfully applied for GMM in speaker identification task. The modification is done by weighting observation probabilities with reliability values obtained from SNR. Also, we apply PSO (particle swarm optimization) method to the confidence function for maximizing the speaker identification performance. To evaluate our proposed method, we used the ETRI database for speaker recognition. The experimental results showed that the performance was definitely enhanced with the modified HMM decoder algorithm.

• Women's Health Nursing
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• v.20 no.4
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• pp.246-254
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• 2014

Purpose: The purpose of this study was to analyze the effectiveness of simulation-based maternity nursing practice by applying problem based learning (PBL) on the problem solving process, self-confidence in clinical performance and nursing competence of nursing students. Methods: This study was one group pre-posttest design, with 123 third year nursing students. Data were collected from March 19 to May 29, 2013 as the students completed their simulation practice class. Students completed a survey about their problem solving process, self-confidence, and nursing competence at the beginning and the end of the class. Results: Students' problem solving process, self-confidence, and nursing competence showed significant improvements after the simulation-based maternity nursing practice. Conclusion: Therefore, it is recommended that current maternity nursing curriculum should be reviewed and improved, and the students should be provided variety of simulation-based education and maternity nursing skills.

• Child Health Nursing Research
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• v.12 no.1
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• pp.104-113
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• 2006

Purpose: This study was conducted to develop and evaluate the effectiveness of a prenatal parental role education program. Methods: The participants were healthy primiparous women and their healthy newborn babies. 57 mother-infant diads(27 in the intervention group, 30 in the control group). For the intervention group, an additional 4 prenatal parental role education programs and 2 postnatal telephone calls(1st & 3rd week after birth) were provided. Data were analyzed by frequency, chi-square test, t-test and repeated measures ANOVA using SPSS PC+ 10.0 program. Results: Significant differences were found in self-confidence in maternal role performance, mother-infant interaction and infant physical growth between the two groups. This result indicate that the intervention program was effective in improving self-confidence in maternal role performance, mother-infant interaction and in facilitating infant physical growth. Conclusions: The prenatal parental role education program developed by the author was a very effective program in promoting maternal self-confidence, mother-infant interaction, and fostering infant's physical growth at 4 weeks after infant's birth.

• ETRI Journal
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• v.27 no.4
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• pp.461-464
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• 2005

Recently, a variety of confidence measures for utterance verification has been studied to improve speech recognition performance by rejecting out-of-vocabulary inputs. Most of the conventional confidence measures for utterance verification are based primarily on hypothesis testing or an approximated posterior probability, and their performances depend on the robustness of an alternative hypothesis or the prior probability. We introduce a novel confidence measure called a search confusion rate (SCR), which does not require an alternative hypothesis or the approximation of posterior probability. Our confusion-based approach shows better performance in additive noise-corrupted speech as well as in clean speech.

• Journal of the Korean Applied Science and Technology
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• v.39 no.6
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• pp.812-823
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• 2022

The purpose of this study is a descriptive study to confirm the relationship between medical infection prevention knowledge, infection control confidence, and standard practice of nursing students and to understand the effect on performance for standard precautions. Data collection was conducted on 160 nursing students located in G Metropolitan City from October 4 to October 12, 2018. As a result of the study, the performance for standard precautions has a positive correlation with 'infection prevention knowledge' (r=.27, p<.001) and infection control confidence (r=.52, p<.001), and infection prevention knowledge was found to have a significant correlation with infection control confidence (r=.27, p=012). Factors affecting the performance for standard precaution of nursing students were in order of infection control confidence (𝛽=.45, p<.001), no skin contact experience (𝛽=.18, p<.004), infection prevention education (𝛽=-2.65, p<.009), infection prevention knowledge (𝛽=.15, p<.019). and the explanatory power of the model was 35%. Based on the results of this study, it is necessary to develop and implement a standard precautions program that can increase infection prevention knowledge and infection management confidence in order to increase the performance for standard precautions of nursing students.

• Phonetics and Speech Sciences
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• v.3 no.2
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• pp.65-70
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• 2011

Recently, audio-visual speech recognition (AVSR) has been studied to cope with noise problems in speech recognition. In this paper we propose a novel method of deciding weighting factors for audio-visual information fusion. We adopt the particle swarm optimization (PSO) to weighting factor determination. The AVSR experiments show that PSO-based normalized confidence measures (NCM) improve the rejection performance of mis-recognized words by 33%.

• Steel and Composite Structures
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• v.47 no.3
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• pp.339-353
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• 2023

The primary objective of the current study is to optimize and evaluate the seismic performance of steel momentresisting frame (MRF) structures considering soil-structure interaction (SSI) effects. The structural optimization is implemented in the context of performance-based design in accordance with FEMA-350 at different confidence levels from 50% to 90% by taking into account fixed- and flexible-base conditions using an efficient metaheuristic algorithm. Nonlinear response-history analysis (NRHA) is conducted to evaluate the seismic response of structures, and the beam-on-nonlinear Winkler foundation (BNWF) model is used to simulate the soil-foundation interaction under the MRFs. The seismic performance of optimally designed fixed- and flexible-base steel MRFs are compared in terms of overall damage index, seismic collapse safety, and interstory drift ratios at different performance levels. Two illustrative examples of 6- and 12-story steel MRFs are presented. The results show that the consideration of SSI in the optimization process of 6- and 12-story steel MRFs results in an increase of 1.0 to 9.0 % and 0.5 to 5.0 % in structural weight and a slight decrease in structural seismic safety at different confidence levels.