• Journal of Korean Public Health Nursing
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• v.28 no.1
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• pp.138-148
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• 2014

Purpose: This study was conducted in order to determine the effects of a health promotion program on perception of health behavior, physical fitness, and body composition in child care helpers. Methods: The study had a one group pretest-posttest quasi-experimental design. Data were collected from 38 child care helpers from July 6 to November 9, 2013. The health promotion program consisted of health education, self-exercise, encouragement, and identification. The following data were collected perception(perceived benefit, barrier, and self-efficacy), physical fitness(balance, grasp power, and flexibility), and body composition(body mass index, body fat ratio, waist circumference, and basal metabolic rate) and analysis was performed using on SPSS WIN 18.0. Results: Self-efficacy showed a significant increased. Body mass index, body fat ratio, and waist circumference showed a significant decreased. No significant difference in perceived benefit, barrier, physical fitness, and basal metabolic rate was observed between pre-test and post-test. Conclusion: This health promotion program had an effect on self-efficacy and body composition in child care helpers. Therefore, this health promotion program for child care helpers can be recommended as an effective nursing intervention.

• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.4
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• pp.409-418
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• 2017

Purpose: Ineffective communication between healthcare professionals leads to medical errors and puts patients at risk of harm. The aim of this study was to examine the effects of interdisciplinary communication training in simulated settings on self-confidence in communication, observed communication behavior, and technical skill performances of nursing students. Methods: A repeated measures design with one group was conducted. Data was collected from 92 nursing students through a self-administered questionnaire and an observed behavior checklist. Data analysis was performed using descriptive statistics, a paired t-test, the Wilcoxon signed rank test, the Friedmann test, a Repeated Measures ANOVA, and the Spearman correlation coefficient. Results: Self-confidence in communication, observed Identification-Situation-Background-Assessment-Recommendation-Read Back communication behavior, and technical skill performances of nursing students were significantly improved. In observed communication behavior, the performance of Assessment and Read Back communication significantly improved. However, communication of Background, Assessment, and Recommendation did not improve to a satisfactory level. Observed communication behavior was not correlated with the overall technical skill performance. Conclusion: These results indicate that interdisciplinary communication training in simulated settings was effective in improving nursing students' confidence and communication skills with physicians. Longitudinal studies with larger samples are recommended in order to verify the effects of interdisciplinary communication training on clinical outcomes as well as communication competence.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.3
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• pp.393-405
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• 2015

Purpose: This study was conducted to plan and apply simulation-based practice for raising the achievement of program outcomes (POs) in nursing students. Methods: Using convenience sampling, 95 nursing students participated in this descriptive study. A self-reported questionnaire was used to measure the achievement of POs (self-directed learning, problem-solving ability, critical thinking) and usefulness of curriculum in addition to observing tracheal suction skills using a checklist. Results: A scenario with a pneumonia patient was developed to observe tracheal suction skills during simulation-based practices. Self-directed learning, problem-solving ability, and critical thinking were then scored. The mean scores of performance skill, self-directed learning, problem-solving ability, critical thinking were $37.82{\pm}6.03$. $3.61{\pm}0.38$, $3.61{\pm}0.33$, and $3.73{\pm}0.32$, respectively. All students passed the simulation-based practice in terms of performance ability and met the required achievement level for the POs at this university. Students with good suction skills showed significant differences in problem identification (p=.044) and alternative development (p=.019), which are components of problem-solving ability, compared to students with only fair skills. Conclusion: These findings indicate that simulation-based practice related to an adult nursing respiratory course was useful for evaluating the achievement of POs in nursing students. Further study is needed to develop a universal method of outcome measurement.

• The Journal of Internal Korean Medicine
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• v.45 no.2
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• pp.159-166
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• 2024

Objective: The purpose of this case study is to report the effectiveness of the Korean medicine Beewha-eum as a treatment for functional dyspepsia (FD). Methods: A patient diagnosed with a spleen-stomach deficiency-cold pattern in Korean medicine was treated with herbal medicines, including Beewha-eum. Symptom severity was assessed using the degree of self-reported dyspepsia (%), self-reported energy level, amount of food intake (%), total parenteral nutrition rate (cc/hour), body weight (kg), Nepean dyspepsia index (NDI-K), functional dyspepsia-related quality of life questionnaire (FD-QoL), and short form 36-item health survey (SF-36) score. Results: After treatment, the symptom severity of self-reported dyspepsia decreased from 100% to 10 to 15%, and the self-reported energy level increased from 20 to 80. The amount of food intake increased from 5% to 100%, and the total parenteral nutrition rate started from 60 cc/hour end in week 5. Body weight increased from 53.1 kg to 62 kg. The NDI-K score decreased from 105 to 31. The FD-QoL score increased from 19 to 68. The SF-36 score also increased from 102 to 116. Conclusion: The results suggest that the Korean medicine Beewha-eum could be an effective option for treating FD.

• Journal of Gifted/Talented Education
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• v.26 no.2
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• pp.347-363
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• 2016

The purpose of this study was to analyze the trends in domestic and international gifted education in the last six years (2010-2015) by utilizing social network analysis methods. For papers of gifted education in Korea, two KCI (Korea Citation Index) rated journals, the 'Gifted/Talented Education' (The Korean Society for the Gifted) and 'Gifted and Talented Education' (The Korean Society for the Gifted and Talented Education) were selected and 457 pieces published in two journals were collected. The papers of 347 published in SSCI rated journals, 'The Gifted Child Quarterly,' 'Journal for the Education of the Gifted,' and 'High Ability Studies' were selected. English keywords were extracted from 457 papers from Korean journals and 347 papers from foreign journals and the Social Network Analysis (SNA) way was utilized for keyword frequency and central network analyses. It was appeared that the trends of paper keywords from domestic and foreign countries showed common keywords, 'academically gifted', 'science gifted', and 'gifted' as center keyword frequency, and keywords, 'achievement', 'identification', 'intelligence' appeared as the most frequent ones. For domestic papers, keywords, 'creativity', 'gifted education', and 'gifted education teacher' were the highest frequent keywords while keywords, 'foreign countries', and 'student attitudes' were most frequent ones for the foreign countries. For the analysis of papers from five journals as one group, it was found that keywords, 'identification', 'intelligence', and 'achievement' were the most important common ones and keywords, 'cognitive', 'motivation', and 'self-concept' were appeared as important keywords. The trend of gifted education in Korea seems to be different from ones of foreign countries, domestic papers of gifted education rarely included keywords of 'foreign examples', 'student attitudes', and 'gender differences.' Consequently, the trend of gifted education in Korea called for various research perspectives.

• Journal of Korea Water Resources Association
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• v.54 no.8
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• pp.553-566
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• 2021

River confluence is often characterized by shear layer and the associated strong mixing. In natural rivers, the main channel and its tributary can be separated by the shear layer using contrasting colors. The shear layer can be easily observed using aerial images from satellite or unmanned aerial vehicles. This study proposes a low-cost identification method extracting geographic features of the shear layer using RGB aerial image. The method consists of three stages. At first, in order to identify the shear layer, it performs image segmentation using a Gaussian mixture model and extracts the water bodies of the main channel and tributary. Next, the self-organizing map simplifies the flow line of the water bodies into the 1-dimensional curve grid. After that, the curvilinear coordinate transformation is performed using the water body pixels and the curve grid. As a result, the shear layer identification method was successfully applied to the confluence between Nakdong River and Nam River to extract geometric shear layer features (confluence angle, upstream- and downstream- channel widths, shear layer length, maximum shear layer thickness).

• Korean Journal of Acupuncture
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• v.33 no.3
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• pp.102-113
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• 2016

Objectives : This study is aimed at developing and discussing the prediction model of blood stasis pattern of traditional Korean medicine(TKM) using machine learning algorithms: multiple logistic regression and decision tree model. Methods : First, we reviewed the blood stasis(BS) questionnaires of Korean, Chinese, and Japanese version to make a integrated BS questionnaire of patient-reported outcomes. Through a human subject research, patients-reported BS symptoms data were acquired. Next, experts decisions of 5 Korean medicine doctor were also acquired, and supervised learning models were developed using multiple logistic regression and decision tree. Results : Integrated BS questionnaire with 24 items was developed. Multiple logistic regression models with accuracy of 0.92(male) and 0.95(female) validated by 10-folds cross-validation were constructed. By decision tree modeling methods, male model with 8 decision node and female model with 6 decision node were made. In the both models, symptoms of 'recent physical trauma', 'chest pain', 'numbness', and 'menstrual disorder(female only)' were considered as important factors. Conclusions : Because machine learning, especially supervised learning, can reveal and suggest important or essential factors among the very various symptoms making up a pattern identification, it can be a very useful tool in researching diagnostics of TKM. With a proper patient-reported outcomes or well-structured database, it can also be applied to a pre-screening solutions of healthcare system in Mibyoung stage.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.719-734
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• 2020

This paper proposes a new measurement scheme for estimating the processing level according to risk when performing de-identification in the use of personal information by practitioners in the organization in line with the recently revised Data 3 Act. Our proposed methods considered the surrounding circumstances surrounding the data, not just the data, for risk measurement, and divided the data situation into three categories more systematically so that it can be applied in all areas in a general-purpose environment, the data utilization environment, and the data (self) so that it can be calculated quantitatively based on each context risk according to the presented classification. The proposed method is designed to calculate the risk of existing de-identifiable information in a quantitative manner so that personal information controller in general organizations can use it in practice, not just in the qualitative judgment of experts.

• Journal of the Korean Society of Costume
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• v.64 no.7
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• pp.128-142
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• 2014

In the new media age, the importance of personal style is highlighted, as the fashion recipients independently create their own images by transforming and recombining the fashion information gathered from the fashion blogs - the most representative form of social networks. The study aims to identify the types and styles of imaginary ego-images represented on the personal fashion blogs as a new space of self-expression, based on Lacan's gaze; the imaginary of the unconscious world and the ego-concept. According to literature search, the imaginary ego-image is classified as narcissism, regression, identification, and virtuality. In the case study, Narcissism is represented mostly as bloggers' satisfaction and beliefs about their fashion styles. The degeneration represents childhood images including a mother, as well as retro and vintage images that recreate the fashions of bygone eras - such as medieval, $19^{th}$ or 20th century fashion. Identification is the connection with the various areas of culture and art, especially movies and music. Virtuality represents hypothetical situations of mythical, fairy tale-like, surreal, or dreamlike atmospheres and hypothetical bodies that appear removed, disassembled, or crooked. The imaginary ego-images emerged on the personal fashion blogs are also classified into specific style depending on the attributes of the ego images-such as kidult style, retro style, ethnic style, and surreal style.

• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.694-701
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• 2016

The smart phone application to provide auto identification and answer explanation of multiple choice answer for each OMR answer item in the test paper different from ordinary OMR test by using smart phone is very useful in terms of a self learning and a smart learning. In this paper, smart phone application of OMR mark identification for each question item in test paper is proposed. QR code for each OMR answer is provided for the encrypted correct answer and the reference location of multiple choice answer rectangle location. The OMR answer region is extracted and the marked answer is identified in each question of test paper, in order to compare between the marking answer and the correct answer. Experimental result of smart phone application of the proposed algorithm for the OMR answer images with various size and direction shows excellent recognition performance.