• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.357-367
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• 2021

We aimed to identify personal-interpersonal-social factors influencing Person-Centered Care Competence (PCCC) of senior grade nursing students based on King's dynamic interaction system model. The data were collected using online based questionnaires that contained items on ethical sensitivity, peer group care interaction, interpersonal competence, social support and PCCC. The participants were 242 4th grade nursing students who had undergone clinical practicum. The data were analyzed using descriptive statistics, T-test, ANOVA, Pearson's correlation coefficients, and Multiple regression analysis with the SPSS 26.0. In the multiple regression analysis, interpersonal competence(β=0.42, p<.001) and social support(β=0.29, p<.001) were statistically significant factors that explained 44.1% of PCCC(F=23.77, p<.001). This study is significant in that we identified the factors affecting the Person-centered Care competence based on King's conceptual framework. This study could provide basic data for the development of an intervention program to improve PCCC of senior nursing students.

• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.781-791
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• 2022

It is crucial to provide forest fire risk forecast information to minimize forest fire-related losses. In this research, forecast models of forest fire risk at a mid-range (with lead times up to 7 days) scale were developed considering past, present and future conditions (i.e., forest fire risk, drought, and weather) through random forest machine learning over South Korea. The models were developed using weather forecast data from the Global Data Assessment and Prediction System, historical and current Fire Risk Index (FRI) information, and environmental factors (i.e., elevation, forest fire hazard index, and drought index). Three schemes were examined: scheme 1 using historical values of FRI and drought index, scheme 2 using historical values of FRI only, and scheme 3 using the temporal patterns of FRI and drought index. The models showed high accuracy (Pearson correlation coefficient >0.8, relative root mean square error <10%), regardless of the lead times, resulting in a good agreement with actual forest fire events. The use of the historical FRI itself as an input variable rather than the trend of the historical FRI produced more accurate results, regardless of the drought index used.

• Journal of Korean Dental Hygiene Science
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• v.6 no.2
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• pp.37-50
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• 2023

Background: The purpose of this study is to verify the impact of dental hygienists' working environment on organizational commitment and the mediating effect of psychological empowerment in the relationship between working environment and organizational commitment. Methods: A survey was conducted on 264 people working as dental hygienists between August 16 and August 23, 2023. The collected data were analyzed using t-test, one-way ANOVA, Pearson correlation analysis, and regression analysis. Results: In the dental hygienist work environment, all three subfactors (safety management system, manager's competency, and support system) had a significant positive(+) correlation between psychological empowerment and organizational commitment. Dental hygienists' work environment was found to have an effect on organizational commitment, and psychological empowerment was found to have a partial mediating effect in the relationship between work environment and organizational commitment. Conclusion: As a way to improve dental hygienists' organizational commitment, it is necessary to develop a strategic human resource management program to create a safe and positive work environment and to form an organizational culture in which managers can recognize the power of members and grant empowerment.

• Progress in Medical Physics
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• v.22 no.2
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• pp.72-78
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• 2011

The aim of this study is to evaluate the patient's setup errors in TomoTherapy (Hi-Art II, TomoTherapy, USA) Bodyfix system (Medical Intelligence, Ele-kta, Schwabmuchen, Germany) pressure in the vacuum compression, depending on and were evaluated. Bodyfix immobilization system and vacuum pressure was compression applied to the patients who received Tomotherapy thoracic and abdominal area, 21 patients were selected and TomoTehpay treatment total 477 of MVCT images were obtained. The translational (medial-lateral: ML, anterior-posterior: AP, superior-inferior: SI directions) and rolling were recorded and analyzed statistically. Using Pearson's product-moment coefficient and One-way ANOVA, the degree of correlation depending on the different vacuum pressure levels were statistically analyzed for setup errors from five groups (p<0.05). The largest average and standard deviation of systematic errors were 6.00, 5.95 mm in the AP and SI directions, respectively. The largest average of random errors were 4.72 mm in the SI directions. The correlation coefficients were 0.485, 0.244, and 0.637 for the ML-Roll, AP-Vector, and SI-Vector, respectively. SI-Vector direction showed the best relationship. In the results of the different degree of vacuum pressure in five groups (Pressure range: 30~70 mbar), the setup errors between the ML, SI in both directions and Roll p=0.00 (p<0.05) were shown significant differences. The average errors of SI direction in the vacuum pressure of 40 mbar and 70 mbar group were 4.78 mm and -0.74 mm, respectively. In this study, the correlation between the vacuum pressure and the setup-errors were statistically analyzed. The fact that setup-errors in SI direction is dependent in vacuum pressure considerly setup-errors and movement of interal organs was identified. Finally, setup-errors, and it, based on the movement of internal organs in Bodyfix system we should apply more than 50 mbar vacuum pressure. Based on the results of this study, it is suggested that accuracy of the vacuum pressure and the quantitative analysis of movement of internal organs and the tumor should be studied.

• Journal of The Korean Association For Science Education
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• v.39 no.5
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• pp.599-611
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• 2019

The purpose of this study is to analyze the systems thinking level of pre-service teachers using rubrics of evaluating systems thinking. For this purpose, systems thinking level model, which can be applied to education or science education, was selected through literature analysis. Eight pre-service teachers' systems thinking were investigated through the systems thinking analysis tool used in domestic research. The systems thinking presented by the pre-service teachers were transformed into the box type causal map using Sibley et al. (2007). Two researchers analyzed the systems thinking using rubrics of evaluating systems thinking. For data analysis, quantitative analysis was performed through correlation analysis using SPSS. In addition, the qualitative analysis of the box type causal map was conducted and the consistency with the quantitative analysis results was verified. The results indicated that the correlation between the 5-Likert systems thinking measurement instrument and the rubrics score was highly correlated with the Pearson product-moment of .762 (p <.05). In the hierarchical correlation of the systems thinking level, the STH model was analyzed with a very high correlation with the Pearson product-moment of .722~.791, and 4-step model was analyzed .381~.730. The qualitative analysis suggested the concept to be included in the low level of system thinking, the higher the level, the less the concept that is presented properly. In conclusion, the level of systems thinking can be derived as a result of research that there is clearly, a hierarchical part. Based on the results of this study, it is necessary to develop a systems thinking level model applicable to science education and develop and validate items that can measure the level of systems thinking.

• Fashion & Textile Research Journal
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• v.7 no.2
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• pp.187-195
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• 2005

The purposes of this study were to investigate the effects of the elements of textile design on consumer emotion and to develop the emotion model which is suitable for the textile design. The descriptive system of textile design was developed based on the previous studies. Emotion measurement scale was developed to analyze the consumer emotion for the textile design. 20 representative types of textile design were collected as stimuli set for this study, consumer emotion on each design type was examined and was analyzed through the survey. For the data analysis, principal component analysis was employed. As a result, 8 emotional factors such as 'Modern', 'Fun', 'Natural', 'Elegance', 'Classic', 'Ethnic', 'Wild' and 'Sporty' were derived from the results of the survey. Emotion measurement scale which consisted of 8 factors was developed to analyze the effects of the elements of textile design on consumer emotion and 80 representative types of textile design were collected. In addition, the emotion which consumers feel for the textile design types was investigated and each textile design was described according to the descriptive system of textile design. Statistical methods of pearson correlation and multiple regression were employed to analyze the relationship between the elements of textile design and consumer emotion. The results of this study revealed that 15 design elements which affected consumer emotion were the size of motives, the shape of motives, the degree of tone contrast among motives etc. This study findings can provide specific design methods for the effectiveness of consumer emotion.

• Journal of The Korean Association of Information Education
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• v.11 no.3
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• pp.281-288
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• 2007

Collaborative filtering is a method to predict preference items of a user based on the evaluations of items provided by others with similar preferences. Collaborative filtering helps general people make smart decisions in today's information society where information can be easily accumulated and analyzed. We designed, implemented, and evaluated a course recommendation system experimentally. This system can help university students choose courses they prefer to. Firstly, the system needs to collect the course preferences from students and store in a database. Users showing similar preference patterns are considered into similar groups. We use Pearson correlation as a similarity measure. We select K-nearest students to predict the unknown preferences of the student and provide a ranked list of courses based on the course preferences of K-nearest students. We evaluated the accuracy of the recommendation by computing the mean absolute errors of predictions using a survey on the course preferences of students.

• Journal of Nutrition and Health
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• v.38 no.2
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• pp.180-189
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• 2005

The purposes of this study were 1) to analyze the effect of the ERP quality (system quality, information quality, service quality) on the performance (end user satisfaction, user's performance, system utilization) of business, 2) to conduct the causal-effect analysis between outcome variables (user's satisfaction, user's performance, system utilization) of ERP in the contract foodservice management company. The questionnaires were distributed to 260 end users (dietitians, foodservice management managers) in charge of managing the institutional foodservice such as the office (government agencies, factories), schools (universities, middle and high school) and hospitals which were managed by contract foodservice management company 'C' in Seoul and Kyunggi. The surveys were performed from July 26, 2004 to July 30. 2004. Two hundred and fifty (250) questionnaires were responded (response rate: 96.2%). The statistical analysis was conducted using SPSS Win (11.5). And the descriptive analysis, factor analysis, reliability test, pearson correlation, simple and multiple regression analysis were performed. The results showed that among the 3 factors (system quality, information quality, service quality), the system quality and information quality were proved to have an effect on the user's satisfaction and user's performance significantly (p < .05). The influence of ERP quality (system quality, information quality, service quality) on system utilization were testified to be statistically significant (p < .05). The user's performance were affected significantly by system utilization (p < 0.001) and end user's satisfaction (p < 0.001). As a conclusion, to improve user satisfaction, which is the ultimate performance variable of an ERP system, high quality of an ERP system is the pre-requisite. And the user satisfaction and performance of business would be higher with the better quality ERP system. When constructing ERP system for the contract foodservice management company, we should improve system utilization and user satisfaction altogether so that user's performance could be ultimately enhanced and we should make efforts to enhance the quality level of ERP. (Korean J Nutrition 38(2): 180～189, 2005)

• Journal of Acupuncture Research
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• v.33 no.4
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• pp.101-108
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• 2016

Objectives : Among the assessment tools for evaluating facial function, the House-Brackmann scale is used as a standard tool, but it has some shortcomings. The Sunnybrook Facial Grading System can assess the after effects of facial palsy and facial movement by each part of the face. By understanding the application state of this Sunnybrook Facial Grading System, we intend to analyze the relationship between House-Brackmann scale score and Sunnybrook Facial Grading System score so that we can examine the advantages of the Sunnybrook Facial Grading System as a more accurate tool. Methods : We screened both inpatients and outpatients who visited the Facial Palsy Center at Kyung Hee University Hospital for Korean medical treatment and were evaluated with the Sunnybrook Facial Grading System from December 2015 to October 2016. A total of 159 out of 166 patients were studied, including basic characteristics and missing data. We used descriptive statistics for general features of patients and SPSS Ver.18 for statistical analysis. Results : House-Brackmann scale and Sunnybrook Facial Grading System have high negative correlation through Pearson Correlation Coefficient with a score of -0.884. Analyzing outlier data resulting from relation analysis between the House-Brackmann scale and the Sunnybrook Facial Grading System showed many outliers when the damaged state of each part of the face is different. Conclusion : Sunnybrook Facial Grading System can make up for faults of the House-Brackmann scale, which is inferior in accuracy when each damage status of each part of the face is different. Sunnybrook Facial Grading System performs a detailed assessment of facial function and sequelae of facial palsy easier than the House-Brackmann scale.

• Korean Journal of Clinical Laboratory Science
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• v.37 no.2
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• pp.102-110
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• 2005

The purpose of this study was to examine the factors related to satisfaction of users for the order communication system (OCS). The subjects of this study were 98 clerks at Chosun university hospital. The instruments used for this study were the conveniency and the practical application of the data developed by Lee, the satisfaction level developed by Sea Seang-mi and Kim in-sook. The data was analyzed by using the t-test, ANOVA, Pearson Correlation, Stepwise Multiple Regression with SPSS 10.0 program. The mean scores of the conveniency, the practical application of the data and the satisfaction level of user for the OCS was 3.28, 3.29 and 3.34, respectively. In general characteristics of the respondents, influencing factors to the perceived the conveniency of user for the OCS were gender, career and department. In general characteristics of the respondents, influencing factors to the perceived the practical application of the data of user for the OCS were department. In general, characteristics of the respondents, influencing factors to the perceived the satisfaction level of user for the OCS were gender, career and department. The correlation between the satisfaction level and the practical application of the data were statistically significant. The main factors influencing to the satisfaction level of user for the OCS were the practical application of the data (90.3%). In conclusion, The main factors influencing to the satisfaction level of user for the OCS were the practical application of the data. Therefore, it is recommended that guidebooks of user for the OCS or various OCS programs to promote the satisfaction level of user for the OCS and to improve the satisfaction level of user for the OCS should be developed.