• Korean Journal of Adult Nursing
• /
• v.21 no.6
• /
• pp.639-651
• /
• 2009

Purpose: This study examined relationships among stress, stress coping strategies, and somatization in mothers-in-law from multi-cultural families in a rural area. Methods: Elderly mothers-in-law (n=227) living with foreign daughters-in-law completed a self-reporting questionnaire. Data were collected from April to August 2009. Questions related to stress (Visual Analog Scale, VAS), coping strategies (Coping Strategy Scale) for stress, and somatization (Symptom Check List 90, Revised). SPSS/WIN 12.0 program was used for descriptive analysis, t-test, one-way ANOVA, Pearson correlation, and multiple regression analyses. Results: Subjects had a moderate level of stress (5.03). There were significant differences in stress level according to age, educational level, religion, chronic disease, health status, number of children, agreement of an international marriage of her sons, satisfaction in living with a foreign daughter-in-law, and family conflict. Stress showed a significant positive correlation with offensive coping strategy, passive strategy, and somatization. Stress, offensive coping strategy, and passive coping strategy affected the level of somatization. Conclusion: In a family situation involving co-habitation of mother- and foreign daughter-in-law, increased stress experienced by the mother-in-law can lead to increased offensive and passive coping strategies, and increased somatization. More effective means of stress reduction are needed for mothers-in-law from multi-cultural families.

• Journal of Korean Academy of Nursing
• /
• v.43 no.1
• /
• pp.102-113
• /
• 2013

Purpose: This study was done to investigate the level of transcultural self-efficacy (TSE) and related factors and educational needs for cultural competence in nursing (CCN) of Korean hospital nurses. Methods: A self-assessment instrument was used to measure TSE and educational needs for CCN. Questionnaires were completed by 285 nurses working in four Korean hospitals. Descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression were used to analyze the data. Results: Mean TSE score for all items was 4.54 and score for mean CCN educational needs, 5.77. Nurses with master's degrees or higher had significantly higher levels of TSE than nurses with bachelor's degrees. TSE positively correlated with English language proficiency, degrees of interest in multi-culture, degree of experience in caring for multi-cultural clients, and educational needs for CCN. The regression model explained 28% of TSE. Factors affecting TSE were degree of interest in multi-culture, degree of experience in caring for multi-cultural clients, and educational needs for CCN. Conclusion: The results of the study indicate a need for nurse educators to support nurses to strengthen TSE and provide educational program for TSE to provide nurses with strategies for raising interests in cultural diversity and successful experiences of cultural congruent care.

• Transactions of the Korean Society of Machine Tool Engineers
• /
• v.13 no.3
• /
• pp.16-23
• /
• 2004

Thermally induced errors of machine tools have been recognized as one of the most important issues in precision machining. This is probably the most formidable obstacle to obtain high level of machining accuracy. To this regard, the experimental compensation methodologies such as software-based method or origin shift of machine tool axes have been suggested. In this research, to cope with thermal deformation, a model based correction was carried out with the function of an external machine coordinate shift. Models with multi-linear regression or neural network were investigated to selected a good one for thermal compensation. Consequently, multi-linear regression model combined with origin shift was verified good enough form the machining of dot matrices of plate with ball end milling.

• Proceedings of the Korea Concrete Institute Conference
• /
• 2005.05b
• /
• pp.133-136
• /
• 2005

Compressive strength of recycled aggregate concrete was tested by the core and by the non-destructive testing. A prediction model of compressive strength considering the replacement level of recycled aggregate was suggested by multi-regression analysis and was compared with test results. Also, Test results showed that the ratio of compressive strength by core and non-destructive testing to actual was somewhat affected by the replacement level of recycled aggregate.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.6
• /
• pp.1449-1461
• /
• 2024

As technology advances, processor speeds are increasing at a rapid pace and digital systems require a significant amount of data bandwidth. As a result, careful consideration of signal integrity is required to ensure reliable and high-speed data processing. Crosstalk has become a vital area of research in signal integrity for electronic packages, mainly because of the high level of integration. Analytic formulas were analyzed in this study to identify the features that can predict crosstalk in multi-conductor transmission lines. Through the analysis, five variables were found and obtained a dataset consisting of 302,500, data points. The study evaluated the performance of various regression models for optimization via automatic machine learning by comparing the machine learning predictions with the analytic solution. Extra tree regression consistently outperformed other algorithms, with coefficients of determination exceeding 0.9 and root mean square logarithmic errors below 0.35. The study also notes that different algorithms produced varied predictions for the two metrics.

• Transactions of Materials Processing
• /
• v.29 no.5
• /
• pp.272-281
• /
• 2020

As the thickness of mobile communication devices is getting thinner, the size of the internal parts is also getting smaller. Among them, the battery case requires a high-level deep drawing technique because it has a rectangular shape with a large aspect ratio. In this study, the initial blank shape was optimized to minimize earing in a multi-stage deep drawing process using an artificial neural network(ANN). There has been no reported case of applying artificial neural network technology to the initial blank optimal design for a square case with large aspect ratio. The training data for ANN were obtained though simulation, and the model reliability was verified by performing comparative study with regression model using random sample test and goodness-of-fit test. Finally, the optimal design of the initial blank shape was performed through the verified ANN model.

• Korean Journal of Health Education and Promotion
• /
• v.27 no.4
• /
• pp.7-16
• /
• 2010

Objectives: To obtain a more intensive understanding smoking behaviors of young adolescent in the contexts of schools which they attend, this study examined the effects of individual and school level factors divided into psychological and social factors respectively. Methods: Multilevel logistic regression analysis was used to test the effects of school smoking rates on 1 year smoking experience of individual pupils in a sample of 3,449 students from 100 middle schools in Korea. Results: The results of multilevel analysis revealed the importance of social factors in three environments. Especially the social factors in school level, which were sense of school membership and school smoking rate, explained the variances between groups dropping the school effect from 0.194 to 0.046. Conclusion: This study suggests that adolescents' smoking behaviors are related to the multi dimensional and multi level factors. To reduce young adults' smoking rate, school level intervention should not be ignored.

• Transactions of Materials Processing
• /
• v.26 no.6
• /
• pp.341-347
• /
• 2017

Flexibly-reconfigurable roll forming (FRRF) is a novel sheet metal forming technology conducive to produce multi-curvature surfaces by controlling strain distribution along longitudinal direction. Reconfigurable rollers could be arranged to implement a kind of punch die set. By utilizing these reconfigurable rollers, desired curved surface can be formed. In FRRF process, three-dimensional surface is formed from two-dimensional curve. Thus, it is difficult to predict the forming result. In this study, a regression analysis was suggested to construct a predictive model for a longitudinal curvature of FRRF process. To facilitate investigation, input parameters affecting the longitudinal curvature of FRRF were determined as maximum compression value, curvature radius in the transverse direction, and initial blank width. Three-factor three-level full factorial experimental design was utilized and 27 experiments using FRRF apparatus were performed to obtain sample data of the regression model. Regression analysis was carried out using experimental results as sample data. The model used for regression analysis was a quadratic nonlinear regression model. Determination factor and root mean square root error were calculated to confirm the conformity of this model. Through goodness of fit test, this regression predictive model was verified.

• The Journal of the Korea Contents Association
• /
• v.17 no.2
• /
• pp.55-70
• /
• 2017

In order to understand job burnout, it is necessary to consider not only the working environment according to the market environment but also the social situation of the team or the organization. This study analyzed the effects of job demands and job resources on job burnout based on JD-R theory. In other words, the team-level variables, servant leadership and HRM control types, were tested for the effect of moderating the individual workload, emotional labor and job burnout. The results of empirical analysis showed that the higher the self-efficacy, the less job burnout, whereas the higher the workload and emotional labor, the more job burnout. Second, the more positive the team level input and result oriented HRM are, the less positive regression relation of workload and job burnout is. Finally, it was found that the intensity of the regression relation of negative self-efficacy and job burnout was amplified in the team with servant leadership.

• Journal of Korean society of Dental Hygiene
• /
• v.19 no.2
• /
• pp.287-295
• /
• 2019

Objectives: The purpose of this study was to investigate the factors affecting subjective oral symptoms according to the gender of youth from multi-cultural families in Korea using data from the 14th (2018) Korean Youth Health Behavior Survey. Methods: The independent variables used in this study consisted of gender and sweet drink intake. The dependent variable was experience of subjective oral symptoms. Compensation variables consisted of general characteristics of school type, academic performance, economic status, drinking status, smoking status, and number of tooth brushings day before. The subjects of the study were 835 children of multi-cultural families whose parents were foreigners. All statistical analyses were performed by complex samples cross-tabulation analysis and complex samples logistic regression analysis. Statistical analysis was performed using the PASW statistical package 21.0 (Statistical Packages for Social Science Inc., Chicago, IL, USA). A significance level of 0.05 was used for statistical significance. Results: The composite sample logistic regression analysis showed that there was a statistically significant difference between gender and intake of sweet drinks in experience of subjective oral symptoms. Conclusions: These results suggest that factors influence subjective oral symptoms in Korean multi-cultural adolescents. Therefore, I hope that they will be used as basic data for the introduction and development of a customized oral health education program for improving oral health of multi-cultural adolescents.