• Atmosphere
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• v.16 no.1
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• pp.19-31
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• 2006

The purpose of this study is to develop the statistical model to predict sea level pressure of typhoon period in south coast of the Korean Peninsula. Seven typhoons, which struck south coast of the Korean Peninsula, are selected for this study, and the data for analysis include the central pressure and location of typhoon, and sea level pressure and location of 19 observing site. Models employed in this study are the first order regression, the second order regression and the neural network. The dependent variable of each model is a 3-hr interval sea level pressure at each station. The cause variables are the central pressure of typhoon, distance between typhoon center and observing site, and sea level pressure of 3 hrs before, whereas the indicative variable reveals whether it is before or after typhoon passing. The data are classified into two groups - one is the full data obtained during typhoon period and the other is the data that sea level pressure is less than 1000 hPa. The stepwise selection method is used in the regression model while the node number is selected in the neural network by the Schwarz's Bayesian Criterion. The performance of each model is compared in terms of the root-mean square error. It turns out that the neural network shows better performance than other models, and the case using the full data produces similar or better results than the case using the other data.

• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.2
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• pp.184-193
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• 2017

Purpose: This study examined the effects of self-leadership and critical thinking disposition on adaptation to college among nursing students. Methods: A descriptive study was conducted with 325 nursing students using a self-report questionnaire. Data were analyzed using a t-test, one way ANOVA, $Scheff{\dot{e}}$ test, Pearson correlation coefficients, and stepwise multiple regression analysis with SPSS 20.0. Results: The mean score of college adaptation was 3.22. Significant predictor variables affecting adaptation to college were satisfaction in major (${\ss}=.45$, p<.001), behavior-focused strategies (${\ss}=.16$, p<.001), leadership level (${\ss}=.15$, p=.003), and grade (${\ss}=.11$, p=.016). The explanation power of this regression model was 32.2% and was statistically significant (F=64.60, p<.001). Conclusion: The results of this study indicated that an effective college adaptation program should be developed by including improvement of satisfaction in major, behavior-focused strategies, and leadership level.

• Korean Journal of Adult Nursing
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• v.16 no.4
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• pp.575-584
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• 2004

Purpose: To describe the performance in the health-promoting lifestyle and to identify the major factors affecting the health-promoting relationships between self care behaviors and health promoting lifestyle profile in patients with pulmonary tuberculosis. Method: A convenience sample for this study was 172 pulmonary tuberculosis patients who have taken TB medications in urban city. The HPLP-II was selected to measure the concept of health-promoting lifestyle because of the number of research studies conducted using both the original HPLP and the revised HPLP-II. The statistical methods used in this study were t-test, ANOVA, Pearson correlations, and multiple regression. Result: The differences of the HPLP-II were found to have a significance of age, marital status, education level, and health service center. The level of self care behaviors was related positively to the level of health promoting lifestyle and their subcategories. Based on stepwise multiple regression analysis, the model that predicted factors included self care behaviors, age, health service center and education. Conclusion: After decades of decreasing rates, TB has reemerged as a serious national problem in Korea. The careful clinical management and more national concern of TB may help to improve the outcomes of many patients. The findings of this study suggest that TB patients who are more fulfilled in health-promoting lifestyles and self-care behaviors may be able to make better decisions regarding positive health-promoting behaviors.

• Journal of Korea Multimedia Society
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• v.17 no.7
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• pp.858-865
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• 2014

In the case of system like MES, various sensors collect the data in real time and save it as a big data to monitor the process. However, if there is big data mining in distributed computing system, whole processing process can be improved. In this paper, system to analyze the cause of operation deviation was built using the big data which has been collected from deasphalting process at the two different plants. By applying multivariate statistical analysis to the big data which has been collected through MES(Manufacturing Execution System), main cause of operation deviation was analyzed. We present the example of analyzing the operation deviation of deasphalting process using the big data which collected from MES by using multivariate statistics analysis method. As a result of regression analysis of the forward stepwise method, regression equation has been found which can explain 52% increase of performance compare to existing model. Through this suggested method, the existing petrochemical process can be replaced which is manual analysis method and has the risk of being subjective according to the tester. The new method can provide the objective analysis method based on numbers and statistic.

• Food Science and Preservation
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• v.7 no.2
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• pp.155-159
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• 2000

Apple fruit grading is largely dependant on skin color degree. This work reports about the possibility of nondestructive assessment of apple fruit color using infrared(NIR) reflectance spectroscopy. NIR spectra of apple fruit were collected in wavelength range of 1100~2500nm using an InfraAlyzer 500C(Bran+Luebbe). Calibration as calculated by the standard analysis procedures MLR(multiple linear regression) and stepwise, was performed by allowing the IDAS software to select the best regression equations using raw spectra of sample. Color degree of apple skin was expressed as 2 factors, anthocyanin content by purification and a-value by colorimeter. A total of 90 fruits was used for the calibration set(54) and prediction set(36). For determining a-value, the calibration model composed 6 wavelengths(2076, 2120, 2276, 2488, 2072 and 1492nm) provided the highest accuracy : correlation coefficient is 0.913 and standard error of prediction is 4.94. But, the accuracy of prediction result for anthocyanin content determining was rather low(R of 0.761).

• Research in Community and Public Health Nursing
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• v.21 no.3
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• pp.341-350
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• 2010

Purpose: The purpose of this study was to contribute to enhancing elementary school health teachers professional job performance by analyzing their job identity and job stress. Methods: The participants were 138 elementary school health teachers registered at the Busan Metropolitan City Office of Education, and the survey was conducted from the 22nd to 23rd of July, 2010. The collected data were analyzed by percentile, t-test, ANOVA, Pearson's correlation coefficient, and stepwise multiple regression using the SPSS/WIN 17.0 program. Results: The average percentiles of job identity and job stress were 70.6 and 64.0 respectively. Among the sub-factors of job identity, autonomy was highest as 73.5, and among the sub-factors of job stress, job demand was highest as 73.9. There were significant differences in the degree of job identity and job stress according to education status, the number of classes, job satisfaction, enthusiasm for work, and the image of nursing teachers expressed in a word. The regression model explained 21.2% of the variance of job identity. job stress explained 32.0% of the variance. Conclusion: It is important to develop various comprehensive programs for improving job identity and managing job stress. In addition, it is necessary to provide support systems including persons, promotion and rewards to school health teachers.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.3
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• pp.533-541
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• 2012

Purpose: The purpose of this study was to identify variables influencing task performance of wound ostomy continence nurses (WOCN). Methods: Data were collected from 80 WOCN in Korea from September to October 2011 using a self-reported questionnaire. Variables consisted of task performance, empowerment, professional autonomy, job satisfaction and job-related variables. Data were analyzed by frequencies, t-test, one-way ANOVA, Pearson's correlation coefficient and stepwise multiple regression. Results: Professional autonomy was a major predictor of task performance of WOCN (F=37.37, p=<.001). Empowerment(F=33.10, p=.001) and completion of the professional education course for wound ostomy continence nursing WOCN(F=7.46, p=.008) were the other significant predictors of task performance. The regression model explained 45.3% of task performance. Conclusion: Professional autonomy, empowerment and completion of the professional education course contribute to task performance of WOCN. These findings have important implications for organizations hoping to achieve the maximum potential of WOCN's professional role. Therefore, strategies for reinforcement of professional autonomy, empowerment, and completion of professional education course are necessary for WOCN working in South Korea.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.4
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• pp.452-461
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• 2016

Purpose: This study was conducted to investigate the relationships among communication competence, professional self-concept, and stress in clinical practice of nursing students. Methods: The study participants were 308 senior year nursing students in D city and K province. Collected data were analyzed using t-tests, analysis of variance, Pearson's correlation coefficient, and stepwise multiple regression with the SPSS Version 20.0. Results: There were significant differences in participants' stress of clinical practice based on their level of satisfaction on clinical practice, self-confidence of nursing and difficulty with relationships in clinical practice. A negative correlation was detected between stress in clinical practice and the professional self-concept of nursing students. Significant predictors of the perceived stress of clinical practice were satisfaction in clinical practice and pride in nursing. These accounted for 18% of the perceived stress of clinical practice in a regression model. Conclusion: The results may serve as basic data in support of the need to the develop effective systematic stress management programs and clinical training courses in order to attenuate the stress experienced during clinical practice of nursing students.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.4
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• pp.441-451
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• 2016

Purpose: This study aimed to examine the effects of personality characteristics and decision making type on the self-leadership of nursing students. Methods: The participants were 336 nursing students using a self-report questionnaire. Data were analyzed using a t-test, ANOVA, $Scheff{\acute{e}}$ test, Pearson correlation coefficients, and stepwise multiple regression. Results: There were significant positive correlations between self-leadership and extraversion (r=.50, p<.001), agreeableness (r=.22, p<.001), conscientiousness (r=.60, p<.001), openness to experience (r=.36, p<.001), and rational style (r=.47, p<.001). However the correlation between self-leadership and dependent style was significantly negative (r=-.11, p=.044). Conscientiousness (${\beta}$=.60, p<.001), extraversion (${\beta}$=.28, p<.001), and rational style (${\beta}$=.21, p<.001), openness to experience (${\beta}$=.18, p<.001), and degree of leadership level (${\beta}$=.10, p=.020) were identified as factors affecting self-leadership. The explanation power of this regression model was 50.0% and it was statistically significant (F=67.52, p<.001). Conclusion: The results of this study indicated that effective self-leadership programs should be developed by including conscientiousness, extraversion, openness to experience, and rational decision making.

• Journal of muscle and joint health
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• v.22 no.3
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• pp.195-204
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• 2015

Purpose: The purpose of this study was to identify the effect of interpersonal relation and job stress on nursing performance among male nurses. Methods: This study was cross-sectional descriptive one. The data were collected from self-administered questionnaires by 110 male nurses members affiliated with the Korean Man Nurses Association. The data were analyzed using descriptive statistics, independent t-test, one way ANOVA with Duncan test, Pearson correlation, and stepwise multiple regression with the SPSS/WIN 21.0. Results: The average scores of interpersonal relation, job stress, and nursing performance were respectively 3.64, 3.10, 3.63. Nursing performance was high in married, good health condition, manager, and high salary among male nurses. Nursing performance showed significant positive correlation with interpersonal relation (p<.001), and a significant negative correlation with job stress (p=.010). Influencing factors of nursing performance among male nurses were interpersonal relation, health status, total duration of career, position, and the adjusted $R^2$ of the regression model was 42%. Conclusion: The results suggest that we need to develop a training program to improve the nursing performance of the male nurses.