• Journal of the Korean Society of School Health
• /
• v.22 no.2
• /
• pp.85-101
• /
• 2009

Purpose: We interviewed 500 students attending to universities in Gwangju and Jeonnam using a questionnaire. The questionnaire was composed of some questions on general characteristics of the subjects, academic characteristics, health-related behaviors, family function, and drinking problems. Methods: The data collected were analysed with uses of t-test, dispersion analysis, correlations analysis and multi-variate regression analysis. Results: As a result of the simple analysis we found that variables related to drinking problems of college students were religion, family, residence, parents' job, living standard, major, academic year, exercise, parents' drinking, parents' attitude to drinking, drinking quantity, intimacy, conflicts, and upbringing tendency. As a result of the multi-variate regression analysis, we found that the higher intimacy between family members, deterioration in behaviors, family and personal relations, and social functions was statistically significantly low. Conclusion: This study demonstrated that drinking problems of college students had significant relations with intimacy, conflicts and upbringing tendency and suggests that an approach in an aspect of family functions is important to overcome drinking problems of college students.

• Korean Journal of Child Studies
• /
• v.28 no.5
• /
• pp.253-267
• /
• 2007

This study examined the relationships between multiple intelligences as cognitive factors and affective factors of learning motivation and academic self-concept. The data were collected from 276 4th grade elementary school students and analyzed by correlation, multi-variate analysis, and step-wise multiple regression. Results were that (1) multiple intelligences, learning motivation, and academic self-concept had statistically significant correlations among themselves. Multi-variate analysis showed that intra-personal intelligence explained 58.6% of the linear combination of learning motivation and academic self-concept. (2) Intra-personal intelligence explained 29% to 58% of learning motivation and its sub-factors of achievement motivation, internal locus of control, self-efficacy, and self-regulation. (3) Intra-personal intelligence, logical-mathematical intelligence, musical intelligence, and inter-personal intelligence were explanatory variables for academic self-concept and its sub-factors.

• Carbon letters
• /
• v.28
• /
• pp.72-80
• /
• 2018

In this study, an empirical relationship between the energy band gap of multi-walled carbon nanotubes (MWCNTs) and synthesis parameters in a chemical vapor deposition (CVD) reactor using factorial design of experiment was established. A bimetallic (Fe-Ni) catalyst supported on $CaCO_3$ was synthesized via wet impregnation technique and used for MWCNT growth. The effects of synthesis parameters such as temperature, time, acetylene flow rate, and argon carrier gas flow rate on the MWCNTs energy gap, yield, and aspect ratio were investigated. The as-prepared supported bimetallic catalyst and the MWCNTs were characterized for their morphologies, microstructures, elemental composition, thermal profiles and surface areas by high-resolution scanning electron microscope, high resolution transmission electron microscope, energy dispersive X-ray spectroscopy, thermal gravimetry analysis and Brunauer-Emmett-Teller. A regression model was developed to establish the relationship between band gap energy, MWCNTs yield and aspect ratio. The results revealed that the optimum conditions to obtain high yield and quality MWCNTs of 159.9% were: temperature ($700^{\circ}C$), time (55 min), argon flow rate ($230.37mL\;min^{-1}$) and acetylene flow rate ($150mL\;min^{-1}$) respectively. The developed regression models demonstrated that the estimated values for the three response variables; energy gap, yield and aspect ratio, were 0.246 eV, 557.64 and 0.82. The regression models showed that the energy band gap, yield, and aspect ratio of the MWCNTs were largely influenced by the synthesis parameters and can be controlled in a CVD reactor.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.5
• /
• pp.2484-2498
• /
• 2017

Various types of social media make the people share their personal experience in different ways. In some social networking sites. Some users post their reviews, some users can support these reviews with comments, and some users just rate the reviews as kind of support or not. Unfortunately, there is rare explicit negative comments towards other reviews. This means if there is a link between two users, it must be positive link. Apparently, the negative link is invisible in these social network. Or in other word, the negative links are redundant to positive links. In this work, we first discuss the feature extraction from social media data and propose new method to compute the distance between each pair of comments or reviews on social media. Then we investigate whether we can predict negative links via regression analysis when only positive links are manifested from social media data. In particular, we provide a principled way to mathematically incorporate multi-facet data in a novel framework, Constructing Negative Links, CsNL to predict negative links for discovering the hidden information. Additionally, we investigate the ways of solution to general negative link predication problems with CsNL and its extension. Experiments are performed on real-world data and results show that negative links is predictable with multi-facet of social media data by the proposed framework CsNL. Essentially, high prediction accuracy suggests that negative links are redundant to positive links. Further experiments are performed to evaluate coefficients on different kernels. The results show that user generated content dominates the prediction performance of CsNL.

• The Journal of the Korea Contents Association
• /
• v.12 no.10
• /
• pp.307-319
• /
• 2012

The purpose of this study was to find whether national identity, value orientation, cultural sensitivity influence Multi cultural competence of secondary school students. The significant result out of this research was that Multi cultural competence were different by its concerned variables. The results of hierarchical regression analysis reveal that changes to each of the models were checked by introducing a new group of variables in each stage. Then the influences of the concerned variables including national identity, value orientation, and cultural sensitivity on multi cultural competence were tested through the influence and significance of the variables and the changing explanatory power of the entire models.

• Steel and Composite Structures
• /
• v.51 no.1
• /
• pp.9-24
• /
• 2024

In order to study the shear mechanical behavior of prefabricated and assembled multi-key group stud connectors, this paper conducted push-out tests on 10 prefabricated and assembled multi-key group stud connectors, distributed in 5 groups, and detailed the failure modes of each specimen. Based on the finite element software, a total of 22 models of this type of stud connector are established, and validated the finite element models using the push-out tests. Furthermore, the effects of stud diameter, number of key groups, and spacing of key groups on the shear resistance of prefabricated and assembled multi-key group stud connectors are analyzed. Combined with the test and finite element, the force analysis is carried out for the stud and first-pouring and post-pouring concrete. The results show that the spacing and number of key groups have a significant impact on the shear capacity and shear stiffness of the specimen. For a single stud, the shear force is transferred to the surrounding concrete via the stud's root. When the stud is finally cut, the steel and the concrete plate are separated. Under vertical shear force, the top row of studs experiences the highest shear, while the middle row has the least. Based on statistical regression, a formula of assembled multi-key group stud connectors is proposed.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.10
• /
• pp.323-335
• /
• 2017

Recently, Korea is facing a trend of a fast-paced change towards a multi-cultural society, accompanied by the consequential increase in population and many changes in the peripheral environment. Particularly, the influx of multi-cultural families in Ansan City is increasing every year, but their housing environment remains in poor conditions. Actually, the research on housing policy for multi-cultural families and their housing satisfaction is restrictive. It is therefore necessary to research on how to overcome this problem, and what realistic policy alternatives are required. The purpose of this study is to present some policy alternatives to improve the housing satisfaction of the Korean-Chinese residing in Ansan City. To this end, this study conducted empirical analysis with a focus on Korea-Chinese multi-cultural families living in Ansan City through a questionnaire. As the analysis method, this study conducted frequency analysis, descriptive statistical analysis, cross analysis, and regression analysis, and used the statistical package-SPSS 20.0 as an analysis tool. As a result of the research, first, it was found that their awareness of the government housing policy is insufficient; second, they had a lot more hardships in housing due to the problem of the rising house prices caused by urban development & regeneration; third, in terms of housing tenure type, there was a higher proportion of a lease on a deposit basis and monthly rent than owner-occupied housing. Hence, this study drew the conclusion that the Korean-Chinese multi-cultural family's housing environment needs to be improved and policy support is required for Korean-Chinese. In addition, this study gives great significance in providing these research results as basic materials which make it possible to inquire into mutually reciprocal practice plan and strategic alternatives for a multi-cultural families from now on.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.4
• /
• pp.459-468
• /
• 2017

This study examined the multicultural awareness, cultural sensitivity, and characteristics of multicultural experiences affecting the intercultural communication skills among Korean nursing students. The study participants were a total of 353 nursing students who had completed one or more clinical practice courses and were in 1 University and 2 Colleges. A self-assessment instrument was used. The descriptive statistics, t-test, one way ANOVA, Pearson's correlation coefficient, and simple and multiple regression were used to analyze the data. Statistically significant differences in the intercultural communication skill were observed in multicultural education, foreign friends, proficiency in English, stay in foreign countries, and length of stay in foreign countries. The intercultural communication skills was correlated with both multicultural awareness and cultural sensitivity. Multiple regression analysis showed that the multi-cultural awareness, multi-cultural education, and proficiency in English could explain 41.3% of the variances for the intercultural communication skill. Simple regression analysis also showed that the length of stay in foreign countries explained 2.5% of the intercultural communication skill among nursing students, who had stayed in foreign countries. Therefore, nursing educators should improve their multi-cultural awareness and develop various multi-cultural education programs, consider living abroad, and improve their language proficiency to strengthen nursing students' intercultural communication skill.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.28 no.5
• /
• pp.58-67
• /
• 2000

This study is mainly focus on the satisfaction degree of programs which were been held in city park. The case study of this study is Tokyo metropolitan city park which planed programs and have managed them for approximately 20 years. For the purpose, this study used the questionnaire about the satisfaction degree of programs in 2 Tokyo metropolitan city parks which are held nature observation programs, after analysis of programs of city parks. This study used analysis method of cross-tab, factor analysis and multi-regression. The result are as follows: 1. As the result of factor analysis, 6 factors which are determined the satisfaction degree of programs are found. Also as the regression result between satisfaction degree and 6 factor, the satisfaction degree is positively affected by first factor which is identified program contents and forth factor which is identified marketing part of program. 2. On the organization of managing program, the sponsorship privately-managed citizen group is more favorable than the sponsorship by volunteer. 3. In the participant attribute, participants who are older than 50 showed high distribution, and there is no difference between sex.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.8
• /
• pp.4881-4894
• /
• 2014

This study selected 83 manufacturing firms that had been delisted from the KOSDAQ market from 2009 to 2012 and the sample firms for the two-paired sampling method were compared with 83 normal firms running businesses with same items or in same industry. The 75 financial ratios for five years immediately before delisting were used for Mean Difference Analysis with those of normal firms. Fifteen variables assumed to be significant variables for five consecutive years out of the analysis were used to in the Dichotomous Classification Technique, Logistic Regression Analysis and Discriminant Analysis. As a result of those three analyses, the Logistic Regression Analysis model was found to show the greatest discrimination. This study is differentiated from previous studies as it assumed that the firm's failure proceeded slowly over long period of time and it tried to predict the firm's failure earlier using the five years' historical data immediately before failure, whereas previous studies predicted it using three years' data only. This study is also differentiated from the proceeding comparative studies by its statistically complex Multi-Variate Analysis and Dichotomous Classification Analysis, which general stakeholders can easily approach.