• The Journal of Korean Society for Radiation Therapy
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• v.8 no.1
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• pp.149-159
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• 1996

This descriptive correlational study was undertaken in order to investigate the relationship of family support and personality with quality of life in patients receiving radiotherapy for cervix cancer and to provide basic data to help them improve a better quality of life. The subjects for this study Were 80 out-patients undergoing a radiation therapy at C university hospital in K-city, from April, 1992 to October, 1994. The data were obtained using a convenience sampling technique. The tools used for this study were Ro's quality of life scale, Kang's family support scale and Wallston & others health locus of control scale. The collected data were analyzed by the SAS program using percentage, mean, standard deviation, pearson's correlation coefficients. The result were as follows : 1. The total average score of the quality of life of the subjects was 138.95(minimum score 121-maximum score 164), item mean score(range 1-5) was 2.95. The total average score of the family support of the subjects was 32.55 (minimum score 16-maximum score 47), item mean score(range 1-5) was 2.95 The total average score of the health locus of control of the subjects was 37.00 (minimum score 24-maximum score 49), item mean score (range 1-6) was 3.36. 2 The results of the analysis of the relationship between the quality of life scale and the health locus of control were as follows : the total average score in the quality of life of internal locus of control scale was 136.97, the total average score in the quality of life of external locus of control scale was 144.90. 3. There was a significant positive correlation between the health locus of control and the quality of life(r = 0.2927, p<0.01). The result of the analysis of the relationship between the each factor in the quality of life and health locus of control were as follows : There were significant differences between the health locus of control and emotional state factor(r=0.1514, p<0.01), economic life factor(r=0.2560, p<0.05), self-esteem factor(r=0.2289, p<0.05), physical state and function factor(r=0.1455, p<0.05), relationship with neighbors factor(r=0.0754, p<0.05), relationship with family factor (r=0.3324, p<0.01). 4. There was a significant positive correlation between the family support and the quality of life(r=0.459, p<0.001). The result of the analysis of the relationship between the each factor in the quality of life and family support were as follows : there were significant differences between family support and emotional state factor (r=0.3891, p<0.01), self-esteem factor(r=0.2661, p<0.05), relationship with family factor (r=0.4353, p<0.001).

• Proceedings of the Korean Society for Information Management Conference
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• 2002.11a
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• pp.23-65
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• 2002

This study is to consider varying factors of internal/external informational and operational environments in libraries, and develop a new evaluation indicators for university libraries in digital environments. In order to do this research, the previous works have been investigated, and the Delphi study and our own analysis have been performed. The main research results are as follows. First, the results through the Delphi method that was to adopted to verify evaluation items and indicators determined by the literature review show that the repressed values for each evaluation category is greater than 3.00. overall average is 4.02. and standard deviation is ranged from 0.40 to 0.62 for each category. This means that the evaluation indicators are valid. Second, the factor analysis was performed to verify the construct validity of evaluation indicators. As a result. the cumulative variance of evaluation indicators consisting of 11 dimensions per factor is 72.733%. In turn, this result shows that the validity of these indicators is very reliable. Third, t-test and one way ANOVA are performed within significance probability 0.05 in order to verify differences in each librarians point of views for the degree of importance in evaluation indicators. The results show that these evaluation indicators are verified to be appropriate since there is no significant difference. Based on the Delphi study and our own analysis. we developed a new evaluation indicators that consists of 7 evaluation categories, 35 evaluation items, and 92 evaluation indicators.

• Journal of Families and Better Life
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• v.32 no.6
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• pp.139-154
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• 2014

This study aims to devise a tool which can identify the concept of 'consumption happiness' and to develop a standardized scale to measure consumption happiness. How can we measure consumption happiness? Based on it, the concept and perspective of consumption happiness was formed and then the scale for measuring it was developed. To develop the scale, questions were extracted through a literature survey, an FGI interview was conducted and validity was verified through experts' opinions. Then the scale was developed by conducting a questionnaire survey for consumers. For the analysis of the research, SPSS 20. 0 for Windows and AMOS 17.0 were used and 500 consumers responded to an online survey. In order to examine the general characteristics of the investigation object, the technical statistics of frequency, percentage, average and standard deviation were performed. To develop the research, test-retest correlation, item-to-total correlation, Cronbach's ${\alpha}$ reliability, exploratory factor analysis and confirmatory factor analysis were conducted. The final 20-item consumption happiness scale, which consisted of four factors, was constructed in the end.

• International Journal of Precision Engineering and Manufacturing
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• v.4 no.2
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• pp.49-56
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• 2003

As semi-solid forging (SSF) is compared with conventional casting such as gravity die-casting and squeeze casting, the product without inner defects can be obtained from semi-solid forming and globular microstructure as well. Generally, SSF consists of reheating, forging, and ejecting processes. In the reheating process, the materials are heated up to the temperature between the solidus and liquidus line at which the materials exists in the form of liquid-solid mixture. The process variables such as reheating time, reheating temperature, reheating holding time, and induction heating power has large effect on the quality of the reheated billets. It is difficult to consider all the variables at the same time for predicting the quality. In this paper, Taguchi method, regression analysis and neural network were applied to analyze the relationship between processing conditions and solid fraction. A356 alloy was used for the present study, and the learning data were extracted from the reheating experiments. Results by neural network were in good agreement with those by experiment. Polynominal regression analysis was formulated using the test data from neural network. Optimum processing condition was calculated to minimize the grain size and solid fraction standard deviation or to maximize the specimen temperature average. Discussion is given about reheating process of row material and results are presented with regard to accurate process variables fur proper solid fraction, specimen temperature and grain size.

• Journal of the Korean Society of Safety
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• v.32 no.4
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• pp.79-88
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• 2017

The purpose of this study is to analyze the effects of personal, job, and health care characteristics of firefighters on musculoskeletal disorders (MSDs) and job stress. This survey was participated 591 firefighters in jeonnam and Busan city. The survey consisted of 1) personal, job, and health care characteristics measurement, 2) job stress measurement (KOSS, Korean Occupational Stress Scale), 3) musculoskeletal disorders symptoms mesurement. The analysis of the data was using SAS 9.1 Ver. The statistics analysis was performed the frequency, percentage, average, and standard deviation for each survey item. The Chi square analysis was performed to analyzed the effects of personal, job, and health care characteristics on MSDs and job stress. According to the results of the study on musculoskeletal disorders symptoms, 49.6% of the subjects perceived pain related to musculoskeletal diseases. The total score for job stress was 51.6 (SD 12.9), which was the highest 50% when compared to the Korean job stress standard (male). Age, department, work experience, working type, position, and sleeping time were found to affect musculoskeletal disorders and job stress.

• Journal of Families and Better Life
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• v.28 no.2
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• pp.51-62
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• 2010

This study aims to find out how childhood teachers recognize the characteristic of children, family and community resilience and there are any relationships between children, family and community resilience that teachers recognize. In this Study, 280 teachers working in kindergarten and nurseries in Busan and Ulsan Metropolitan City were subjected to questionnaire survey. Data obtained were analyzed by using frequency, percentage, average, standard deviation, one-way analysis of variance, correlation analysis and factor analysis of SPSS 12.0 statistical program. The results were as follow: First, childhood teacher recognized optimism and positiveness as characteristics of childhood resilience. Second, childhood teacher recognized family cohesion and role stability as characteristics of family resilience. Third, childhood teacher recognized community service and support system as community resilience. Fourth, childhood teacher recognized illustrates mutually organic relationship amongst them, childhood resilience was found to be more closely related to family resilience.

• Journal of Distribution Science
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• v.15 no.11
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• pp.21-29
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• 2017

Purpose - Relationship between farm and county losses determines whether the county program provides too little, too much, or similar amount of assistance relative to the loss on an individual farm. A review of the literature finds limited analysis of the determinants of this relationship. This paper conducts such an analysis using farm-level yield data. Research design, data, and methodology - Farm-level yield data from Illinois and Kansas farm business management associations are used for to calculate the correlation between farm and county loss and the share of farm loss systemic with county loss, and also for the regression analysis. Results - Average share of farm loss systemic with the county loss lies between 42% and 68%. The correlation between farm and county yield/revenue deviation from expected value is statistically significant in all four models. The coefficient is positive, implying the higher the correlation, the larger the share of farm loss that is systemic with the county loss. Conclusions - The findings of this study are consistent with the existing literature which argues that county variability may not be closely associated with farm variability. The findings of this study thus raise questions about the efficacy of area yield and revenue insurance products in helping farmers manage their risk.

• Korean Journal of Child Studies
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• v.37 no.1
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• pp.61-71
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• 2016

Objective: The purpose of this study was to confirm if there are gender differences in influences of parental support, control, and school life adjustment on suicidal ideation of adolescents and to examine the mediating effect of depression on the influences of independent variables on their suicidal ideation. Methods: This study comprised a total of 671 students in seventh and eighth grades in Seoul and Gyeonggi-do. The data were analyzed for frequency, average, and standard deviation, using the t-test, Pearson's correlation analysis, stepwise regression analysis, hierarchical multiple regression analysis, and the Sobel test. Results and Conclusion: First, significant differences among adolescents' gender were shown in fathers' psychological control, mothers' behavior control, and suicidal ideation. Second, in the case of male adolescents, all independent variables were found to have a full mediating effect on their suicidal ideation. Meanwhile, in the case of female adolescents, independent variables except for mothers' psychological control were found to have a full mediating effect on their suicidal ideation. Mothers' psychological control was found to have a partial mediating effect on suicidal ideation of adolescents for both genders.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.2
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• pp.11-17
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• 2018

Concrete is the well-used material in many architectural and civil structures. The behavior of concrete does exhibit a different characteristic in compression and tension, and it also shows an inelastic-nonlinear behavior. In addition, the concrete properties vary slightly depending on the environmental factor and manufacturer. These properties of concrete make the modeling or simulation of concrete material difficult. In reinforced concrete, particularly, there is a difficulty in bond-slip relationship between concrete and steel. However, in this paper, reserving remainder of these limits the finite element analysis for reinforced concrete beams through ABAQUS simulation has been carried out with some assumptions. Assumptions include the perfect bond of steel and concrete as well as the concrete damaged plasticity (CDP) in concrete property. There is a reasonable agreement between the experimental and numerical results, although the analytical strength and external rod deformation are slightly overestimated. The average and standard deviation between two results are 1.05 and 0.05, respectively. And the models and the computations lead to the evolution of fracture in bending beam.

• Journal of Biomedical Engineering Research
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• v.43 no.2
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• pp.109-115
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• 2022

Purpose: Medical records classification using vectorization techniques plays an important role in natural language processing. The purpose of this study was to investigate proper vectorization techniques for electronic medical records classification. Material and methods: 403 electronic medical documents were extracted retrospectively and classified using the cosine similarity calculated by Scikit-learn (Python module for machine learning) in Jupyter Notebook. Vectors for medical documents were produced by three different vectorization techniques (TF-IDF, latent sematic analysis and Word2Vec) and the classification precisions for three vectorization techniques were evaluated. The Kruskal-Wallis test was used to determine if there was a significant difference among three vectorization techniques. Results: 403 medical documents were relevant to 41 different diseases and the average number of documents per diagnosis was 9.83 (standard deviation=3.46). The classification precisions for three vectorization techniques were 0.78 (TF-IDF), 0.87 (LSA) and 0.79 (Word2Vec). There was a statistically significant difference among three vectorization techniques. Conclusions: The results suggest that removing irrelevant information (LSA) is more efficient vectorization technique than modifying weights of vectorization models (TF-IDF, Word2Vec) for medical documents classification.