• Korean Journal of Human Ecology
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• v.10 no.1
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• pp.113-126
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• 2001

The purpose of this study was to investigate clothing behavior and ornaments wear of university students. The subject of this study consists of 241 college students who were attended in Kongju National University. SPSSWIN Program was utilized to calculated frequency(N), mean value(M) and standard deviation(SD) for statistical analysis. Differences among the populations were examined through T-test, F-test, $x^2$-test. The results of this study were as follow : 1. Clothing behavior of university students had significant difference according to sex, grade. In general, female students showed higher score than did male students in clothing interest, clothing conformity, self-estimation about clothing, clothing dependence, clothing aesthetic, clothing modesty, A first-year students had high tendency in clothing interest. 2. The wear of ornaments had significant difference according to variables. Buying the ornaments, most of students sot information in show window and emphasized on design. Male students wanted to have the ornaments of shoes, watch, hat & necklet, but female students wanted to have the ornaments of shoes, earring, necklet & hairpin. 3. Clothing behavior has Influenced university students' ornaments wear. The university students who appeared to be interested in clothes were apparently influenced by peers when selecting ornaments. Ornaments were usually bought in the department store, while belts were among the most popular choices. Students who stressed color when purchasing ornaments showed a high level of interest in and dependence on clothes. On the basic of these results, we can conclude that university students' taste in clothing behavior and use of ornaments wear depend on several different factors. Therefore, it is possible to outline the shift in clothing attitudes during adolescence. In order to understand university students' behaviour concerning clothes, much guidance and various studies on the subject are much recommended.

• The Bulletin of The Korean Astronomical Society
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• v.42 no.2
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• pp.51.1-51.1
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• 2017

We present the dependence of halo properties on two different Galactic potentials: the $St{\ddot{a}}ckel$ potential and the Milky Way-like potential known as "Galpy". Making use of the Sloan Digital Sky Survey Data Release 12 (SDSS DR12), we find that the shape of the metallicity distribution and rotation velocity distribution abruptly changes at 15 kpc of $Z_{max}$ (the maximum distance of stellar orbit above or below the Galactic plane) and 32 kpc of $r_{max}$ (the maximum distance of an orbit from the Galactic center) in the $St{\ddot{a}}ckel$, which indicates that the transition from the inner to outer halo occurs at those distances. When adopting the $St{\ddot{a}}ckel$ potential, stars with $Z_{max}$ > 15 kpc show a retrograde motion of $V_{\phi}=-60km\;s^{-1}$, while stars with $r_{max}$ > 32 kpc show $V_{\phi}=-150km\;s^{-1}$. If we impose $V_{\phi}$ < $-150km\;s^{-1}$ to the stars with $Z_{max}$> 15 kpc or $r_{max}$> 32, we obtain the peak of the metallicity distribution at [Fe/H] = -1.9 and -1.7 respectively. However, there is the transition of the metallicity distribution at $Z_{max}=25kpc$, whereas there is no noticeable retrograde motion in the Galpy. The reason for this is that stars with high retrograde motion in the $St{\ddot{a}}ckel$ potential are unbound and stars with low rotation velocity reach to larger region of $Z_{max}$ and $r_{max}$ due to shallower potential in the Galpy. These results prove that as the adopted Galactic potential can affect the interpretation of the halo properties, it is required to have a more realistic Galactic potential for the thorough understanding of the dichotomy of the Galactic halo.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.367-372
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• 2013

In general, Levenshtein distance algorithm have a problem with not distinguish the consideration of vacabulary retrieve, because Levenshtein methode is used to vocabulary order are not defined. In this paper, we propose a improved Levenshtein methode, it effectively manage the vocabulary retrieve by frequency use of a vocabulary, and it gives the weight number which have a order between vocabularies. Therefore proposed methode have a advantage of solve the defect of perception rate in the case of increase the vocabulary, improve the recognition time become higher and it can be effectively retrieval space management.. System performance as a result of represent vocabulary dependence recognition rate of 97.81%, vocabulary independence recognition rate of 96.91% in indoor environment. Also, vocabulary dependence recognition rate of 91.11%, vocabulary independence recognition rate of 90.01% in outdoor environment.

• Korea journal of population studies
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• v.20 no.2
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• pp.43-66
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• 1997

This work examines reemployment processes through the use of event history unemployment data in the United States. Two aspects of these processes, the duration of unemployment and changes in the reemployment rate, are modelled and analyzed in terms of individual characteristics and their structural positions in the labor market. The secondary labor market is a competitive market in which unemployment occurs because people quit their jobs to devote more time in search for better jobs. Using search theory, the rate of reemployment has a positive time dependence as the searcher lower her reservation wage with the passage of time. By contrast, the primary market is characterized by long-term employment relations which reduce voluntary turnovers but generate layoffs temporarily. Relying on contract theory, because workers on temporary layoffs wait for recall, reemployment rates have a constant time dependence. Empirical results of unemployment durations indicate that reemployment processes are influenced by individual's positions in dual labor market structures. While the analysis suggests that the amount of search reemployment seems to be positively related to the degree of competitiveness of a market, somewhat weaker results are noted in the search reemployment processes in competitive markets.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.1
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• pp.200-213
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• 2014

During the 1970s and 1980s, most of the industrial cities of the Western World went through serious de-industrialization process. While the economy of the cities declined, the cities were suffering from the lack of job opportunities, under-use of industrial infrastructure, and environmental degradation. Many of the cities attempted to tackle such problems, but very few of them have succeeded. However, the Ruhr area is showing some promising signs. This paper attempts to analyze regional revitalization policies of Dortmund, a central city of the Ruhr, and looks into the processes and outcomes of the policies. The author argues Dortmund has successfully created and set forth a new industrial path based on high-tech industries, such as information technology, micro-electromechanical systems(MEMS), logistics, and biomedical industries, away from its traditional industries, such as coal mining and steel making. Speaking from the perspective of path theory, he continues to argue that Dortmund has successfully 'locked-out' from the traditional industries, in contrast to the Grabher's argument.

• Journal of The Korean Astronomical Society
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• v.52 no.5
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• pp.181-205
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• 2019

There is evidence that the luminosities of Type Ia supernova (SN Ia) depend on their environments. While the impact of this trend on estimating cosmological parameters is widely acknowledged, the origin of this correlation is still under debate. In order to explore this problem, we first construct the YONSEI (YOnsei Nearby Supernova Evolution Investigation) SN catalog. The catalog consists of 1231 spectroscopically confirmed SNe Ia over a wide redshift range (0.01 < z < 1.37) from various SN surveys and includes light-curve fit data from two independent light-curve fitters, SALT2 and MLCS2k2. For a sample of 674 host galaxies, we use the stellar mass and the star formation rate data in Kim et al. (2018). We find that SNe Ia in low-mass and star-forming host galaxies are $0.062{\pm}0.009mag$ and $0.057{\pm}0.010mag$ fainter than those in high-mass and passive hosts, after light-curve corrections with SALT2 and MLCS2k2, respectively. When only local environments of SNe Ia (e.g., locally star-forming and locally passive) are considered, this luminosity difference increases to $0.081{\pm}0.018mag$ for SALT2 and $0.072{\pm}0.018mag$ for MLCS2k2. Considering the significant difference in the mean stellar population age between the two environments, this result suggests that the luminosity evolution of SNe Ia with redshift is most likely the origin of the environmental dependence.

• Journal of Trauma and Injury
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• v.31 no.3
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• pp.143-150
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• 2018

Purpose: We have implemented a multi-disciplinary Screening, Brief Intervention and Referral to Treatment (SBIRT) protocol to prevent individuals who sustained alcohol-related traumatic injuries. We therefore conducted this single-center, prospective, randomized, controlled trial (RCT) to assess its efficacy. Methods: All the enrolled patients (n=30) were randomized to either the SBIRT group or the control group. In the current RCT, the proportion of the patients who reduced the amount of alcohol consumption and those who received a specialized treatment served as primary outcome measures. Moreover, changes in a 3-item version of the Alcohol Use Disorders Identification Test Consumption (AUDIT-C), Severity of Dependence Scale (SDS) and Kessler Psychological Distress Scale (K-6) scores at 3 months from baseline served as secondary outcome measures. Results: At 3 months, the proportion of the patients who reduced the amount of alcohol consumption was significantly higher in the SBIRT group as compared with the control group (86.7% vs. 57.1%, p=0.02). Moreover, the proportion of the patients who received a specialized treatment was also significantly higher as compared with the control group (26.7% vs. 1.4%, p=0.01). Furthermore, there were significant differences in changes in the AUDIT, SDS and K-6 scores at 3 months from baseline between the two groups (p<0.05). Conclusions: In conclusion, our results indicate that the SBIRT is effective in reducing hazardous and harmful levels of drinking, the degree of alcohol dependence and that of psychological distress in at-risk drinkers.

• Journal of Periodontal and Implant Science
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• v.53 no.2
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• pp.135-144
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• 2023

Purpose: The aim of this study was to investigate the risk of periodontitis according to current smoking status based on the number of cigarettes smoked per day (CPD) and the Fagerström Test for Nicotine Dependence (FTND). Methods: All enrolled patients were diagnosed and classified according to the new periodontal classification scheme, and current smoking status was investigated via a self-reported questionnaire. The correlation between smoking status (CPD and FTND) and periodontitis risk (severity of periodontitis and tooth loss due to periodontal reasons) was statistically assessed using Spearman correlation coefficients. Moreover, partial correlation analyses between smoking and periodontal status were performed after adjusting for age, sex, and diabetes mellitus. Results: Overall, data from 74 men and 16 women (mean age: 48.1±10.8 years) were evaluated. The mean number of missing teeth, CPD, and FTND score were 3.5±5.2, 24.6±15.5, and 3.5±2, respectively. CPD and the FTND were significantly positively correlated with each other (r=0.741, P<0.001). CPD and the FTND were also significantly correlated with the severity of periodontitis (CPD: r=0.457, P<0.05 and FTND: r=0.326, P<0.05) and the number of missing teeth due to periodontal reasons (CPD: r=0.525, P<0.05 and FTND: r=0.480, P<0.05), respectively. Conclusions: Within the limitations of this study, both CPD and the FTND were significantly correlated with the severity of periodontitis and the number of periodontally compromised extracted teeth.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.459-466
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• 2023

This study was conducted to investigate the mediating effect of academic stress on the relationship between smartphone overdependence and the communication competence of nursing students. The research subjects were nursing students in cities A and Y. The research period was from March 2 to March 9, 2023, and the number of subjects analyzed was 139. Descriptive statistics, Pearson correlation were analyzed using SPSS/WIN 26.0, Process macro program the collected data. The results of the mediating effect of academic stress on the relationship between smartphone dependence and communication competence showed that academic stress (β=.226, p=.005) mediated the effect on the relationship between smartphone dependence and communication competence(Z=-3.131, p=.002). As a result, the combined explanatory power of the variables on nursing student's communication competence was 15.4%. In addition, in order to reduce nursing students' smartphone overdependence, it is necessary to educate them about smartphone use and develop self-control, provide interventions to cope with academic stress, and develop intervention programs to improve communication competence.

• Environmental and Resource Economics Review
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• v.33 no.3
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• pp.241-261
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• 2024

This study analyzes the determinants of greenhouse gas emissions using data from 16 metropolitan municipalities in South Korea. The STIRPAT model, which probabilistically models environmental impacts, was employed for the analysis. Both homogeneous and heterogeneous panel analyses were utilized. Recognizing that results from homogeneous panel analysis could be distorted due to the characteristics of panel data, cross-sectional dependence and slope homogeneity tests were conducted. The tests indicated that it is appropriate to use estimates that consider cross-sectional dependence and reflect slope heterogeneity. Therefore, the results from heterogeneous panel analysis were presented as the main findings. The analysis identified income (per capita GRDP) and energy efficiency (energy intensity) as key determinants of greenhouse gas emissions. Conversely, population was found not to be a key factor, and the industrial structure of the regions (share of the service industry in value-added) was also identified as a potential determinant of greenhouse gas emissions. The hypothesis of the Environmental Kuznets Curve was not statistically significant, suggesting that improving energy efficiency, rather than income growth and economic development, would be the most effective policy tool for reducing greenhouse gases in each municipality.