• (The) Research of the performance art and culture
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• no.39
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• pp.197-222
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• 2019

In the paper, this study will be explored in the migration of the mask dance Eunyeul Talchum from North Korea to South Korea after the national division took place. During and after the Korean War, refugees from the Hwanghae province settled in the Republic of Korea who were performers of the three Korean mask dances: Bongsan Talchum, Kangryeong Talchum and Eunyeul Talchum. All of these mask dances are denoted as South Korea's National Intangible Properties under the Cultural Property Protection Law (1962.) However, Eunyeul Talchum is the only asset among these three that settled in Incheon, instead of the capital, Seoul. The purpose of this research is to examine the process of restoring and the idea of transmitting Eunyeul Talchum in Incheon after the division of Korea. As opposed to Bongsan Talchum and Gangryeong Talchum, which are recognized as major socio-ethnic groups, Eunyeul Talchum belongs to a minority. Because not only Eunyeul Talchum is the last Mask Dance which has been nominated as an Intangible asset among the other Hwanghae Talchum but also, most people in the preservation association are comprised of the second-generation refugees from Hwanghae province. During three months of research, the researcher observed the performances and the educational communicating Eunyeul Talchum's cultural legacy. This study included several research methods: open interview, examination of relevant documents, and live performances. Particularly, the researcher conducted interviews with the Human Cultural Property and musicians (including professional/scholarly to lay/untrained) in the Preservation Association. In conclusion, Eunyeul Talchum preservation association is not as preeminent as other Korean mask dances, it has been transmitted by performers from Hwanghae province with its unique masks and instrumental accompaniment. These performers and educators dedication to maintaining Eunyeul Talchum's attributes contribute largely to the Preservation Association's successful settlement in Incheon. Thus, the researcher examines which idea formed to subsist the Eunyeul Talchum preservation association.

• Journal of Korean Society of Forest Science
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• v.112 no.1
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• pp.23-31
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• 2023

Predicting forest productivity is essential to evaluate sustainable forest management or to enhance forest ecosystem services. Ordinary least squares (OLS) and partial least squares (PLS) regression models were used to develop predictive models for forest productivity (site index) from the site characteristics and soil profile, along with soil physical and chemical properties, of 112 Quercus mongolica stands. The adjusted coefficients of determination (adjusted R²) in the regression models were higher for the site characteristics and soil profile of B horizon (R²=0.32) and of A horizon (R²=0.29) than for the soil physical and chemical properties of B horizon (R²=0.21) and A horizon (R²=0.09). The PLS models (R²=0.20-0.32) were better predictors of site index than the OLS models (R²=0.09-0.31). These results suggest that the regression models for Q. mongolica can be applied to predict the forest productivity, but new variables may need to be developed to enhance the explanatory power of regression models.

• Korean Journal of Health Psychology
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• v.16 no.3
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• pp.537-555
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• 2011

The purpose of this study was two-fold. First, comparisons on the psychological and physical attributes of normal weight, overweight, and obese children were conducted. Second, the influence of BMI and physical fitness interaction on psychological adaptation in children with obesity was explored. Participants were 245 children between the ages of 9 and 13 years (64.5% males). Data on children considered overweight (n = 45) or obese (n = 78) were gathered from the Korean Obese Children's Physical Activity (KOCPA) projects. Normal weight children (n = 122) were recruited from two Seoul elementary schools. Psychological measurements included Weight Efficacy Life-style Questionnaire (WEL), Physical Self-efficacy Scale (PSES), Child Dietary Self-efficacy Scale (CDSS), Self-concept Inventory (SCI), and the Korean version of the Pediatric Quality of Life Intervention TM Version 4.0 Generic Core Scales (PedsQLTM4.0). BMI (kg/m2) and physical fitness (e.g., aerobic endurance, flexibility) were recorded by experts in exercise physiology. Results showed that children in the high BMI group reported poorer psychological adaption and demonstrated lower physical fitness when compared to the remaining groups. Compared to normal weight children, children considered overweight and obese were found to have lower physical self-efficacy, more negative self-concept, and poorer quality of life. Further, these children also had significantly lower physical fitness levels than their normal weight counterparts. Physical fitness was found to have a significant main effect on weight efficacy (WEL), physical self-efficacy (PSES), and quality of life (PedsQL) in children considered overweight or obese. A significant BMI-physical fitness interaction effect was found for self-concept (SCI) only. Children with higher BMI reported poorer self-concept regardless of fitness level whereas children with lower BMI and higher fitness reported more positive self-concept. Implications and limitations are discussed.

• Asia Marketing Journal
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• v.11 no.3
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• pp.91-124
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• 2009

With the intensity of competition and the standardization of technical attributes in telecommunications service market increasing, differentiated activity and customer experience in service encounter is regarded as an important means for creating customer value, however, there is a dearth of good literature examining what MOT activity is composed of according to consumption chain, and how service quality of MOT has influenced customer performance. Especially there exist various services across different phase of Product life cycle(PLC) in household telecommunication service market, customer requirement for MOT might depend on whether its phase is introduction-growth stage or maturity-decline stage, the empirical study is completely lacking. This study classified household telecommunication services into two types by PLC, VOIP and IPTV as Introduction-growth stage services, Internet and PSTN as maturity-decline stage service, and investigated whether there exists a gap between service types in how consumer have experienced MOT, what they consider as important and the relative importance of quality dimension how service quality of MOT has influence on consumer performance. The empirical result from 858 participants shows that there is a difference in consumer experience and requirements across different phases of the PLC, tangibles and assurance are regarded as the most important service quality factors which have a positive influence on customer performance (consumer satisfaction, repurchase intention and word of mouth) at the introduction-growth stage, whereas, reliability, empathy and interactivity are at the maturity-decline stage. Finally, managerial implication is made, limitation is clarified and a direction for further studies is suggested.

• Asia Marketing Journal
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• v.8 no.2
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• pp.1-26
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• 2006

In the growing field of green marketing there are various psychological influences that can lead to green purchase behavior. An understanding of these influences can lead to greater green marketing effectiveness. The purpose of this paper is to analyze the effects of several value types, environmental attitudes, and preference for product attributes on green purchase behavior. To this end, a conceptual model has been proposed and tested for empirical verification with the use of a survey. Data collected from 266 Korean respondents are analyzed using path analysis. Results provide support for the proposed model, demonstrating positive links among universalism, environmental attitudes, preference for environmental attribute, and green buying behavior. It indicates that individuals with universalism as a preferred value type are high in their environmental attitudes and finally, tend to buy green products through their preference for environmental attribute. The mediating role of preference for price is not significant between environmental attitudes and green purchase behavior. The present findings, in addition, contribute the width of understanding of various proenvironmental behaviors by focusing on green purchase behavior and surveying with a Korean sample. The implications for the practices of green marketing are discussed.

• Journal of radiological science and technology
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• v.46 no.5
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• pp.367-377
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• 2023

This study investigates the utility of the Triglyceride-glucose(TyG) index and Cardiometabolic Index(CMI) as predictors for diagnosing metabolic syndrome. The study involved 1970 males, 1459 females, totaling 3429 participants who underwent health checkups at P Hospital in Busan between January 2023 and June 2023. Metabolic syndrome diagnosis was based on the presence of 3 or more risk factors out of the 5 criteria outlined by the American Heart Association/National Heart, Lung, and Blood Institute(AHA/NHLBI), and participants with 2 or fewer risk factors were categorized as normal. Statistical analyses included independent sample t-tests, chi-square tests, Pearson's correlation analysis, Receiver Operating Characteristic(ROC) curve analysis, and logistic regression analysis, using the Statistical Package for the Social Sciences(SPSS) program. Significance was established at p<0.05. The comparison revealed that the metabolic syndrome group exhibited attributes such as advanced age, male gender, elevated systolic and diastolic blood pressures, high blood sugar, elevated triglycerides, reduced LDL-C, elevated HDL-C, higher Cardiometabolic Index, Triglyceride-glucose index, and components linked to abdominal obesity. Pearson correlation analysis showed strong positive correlations between waist circumference/height ratio, waist circumference, Cardiometabolic Index, and triglycerides. Weak positive correlations were observed between LDL-C, body mass index, and Cardiometabolic index, while a strong negative correlation was found between Cardiometabolic Index and HDL-C. ROC analysis indicated that the Cardiometabolic Index(CMI), Triglyceride-glucose(TyG) index, and waist circumference demonstrated the highest Area Under the Curve(AUC) values, indicating their efficacy in diagnosing metabolic syndrome. Optimal cut-off values were determined as >1.34, >8.86, and >84.5 for the Cardiometabolic Index, Triglyceride-glucose index, and waist circumference, respectively. Logistic regression analysis revealed significant differences for age(p=0.037), waist circumference(p<0.001), systolic blood pressure(p<0.001), triglycerides(p<0.001), LDL-C(p=0.028), fasting blood sugar(p<0.001), Cardiometabolic Index(p<0.001), and Triglyceride-glucose index (p<0.001). The odds ratios for these variables were 1.015, 1.179, 1.090, 3.03, and 69.16, respectively. In conclusion, the Cardiometabolic Index and Triglyceride-glucose index are robust predictive indicators closely associated with metabolic syndrome diagnosis, and waist circumference is identified as an excellent predictor. Integrating these variables into clinical practice holds the potential for enhancing early diagnosis and prevention of metabolic syndrome.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.5
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• pp.339-346
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• 2023

The uncertainties of microstructural features affect the properties of materials. Numerous pores that are randomly distributed in materials make it difficult to predict the properties of the materials. The distribution of pores in cementitious materials has a great influence on their mechanical properties. Existing studies focus on analyzing the statistical relationship between pore distribution and material responses, and the correlation between them is not yet fully determined. In this study, the mechanical response of cementitious materials is predicted through an image-based data approach using a convolutional neural network (CNN), and the correlation between pore distribution and material response is analyzed. The dataset for machine learning consists of high-resolution micro-CT images and the properties (tensile strength) of cementitious materials. The microstructures are characterized, and the mechanical properties are evaluated through 2D direct tension simulations using the phase-field fracture model. The attributes of input images are analyzed to identify the spot with the greatest influence on the prediction of material response through CNN. The correlation between pore distribution characteristics and material response is analyzed by comparing the active regions during the CNN process and the pore distribution.

• Information Systems Review
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• v.25 no.4
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• pp.265-290
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• 2023

Even though crowdfunding has become popular as a novel means of raising capital for early-stage ventures and startups through an Internet-based platform, it is unclear how a funder's characteristics, such as motivation and ability, influence their information processing and pledging decision. This study aims to propose and test a research model for determining the relationships between a funder's personal attributes, information processing style, and funding intention. To test the research model, we collected data from 139 Amazon Mechanical Turk participants through an online questionnaire survey. The findings indicate that a funder's self-efficacy has a positive effect on heuristic processing but has no significant effect on systematic processing. By contrast, a funder's personal relevance positively influences both systematic and heuristic processing. Furthermore, heuristic processing, as well as perceived value and perceived risk, influence pledging intentions positively. Our findings potentially contribute to improving the design of crowdfunding platforms to better support a funder's information needs. Based on our findings, we discuss the implications of our study as well as the directions for future research.

• Land and Housing Review
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• v.14 no.4
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• pp.47-62
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• 2023

Using the dynamic panel model, this study investigates rent determinants for small and medium-sized office buildings in Korea's CBD and Gangnam areas, key business districts. The results reveal that rents for small and medium-sized office buildings in CBD and Gangnam areas are influenced by macroeconomic fluctuations and characteristics of buildings and locations, suggesting a market with both spatial consumer and investment goods attributes. There are several investment implications as follows. First, even if the location in the CBD area is advantageous, the practical limitations in renovating aging small and medium-sized office buildings must be taken into account when investing. Second, parking conditions are a key factor influencing rent prices in CBD areas, so evaluating the parking facilities and improvement potential of small and medium-sized office buildings is essential for investors. Finally, due to the high sensitivity of Gangnam's small and medium-sized office market to macroeconomic trends, it's vital to prioritize monetary policy shifts as a key factor in investment decisions.

• Advanced Industrial SCIence
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• v.3 no.2
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• pp.8-16
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• 2024

This paper shows the system of drug classification, the goal of this is to foretell the apt drug for the patients based on their demographic and physiological traits. The dataset consists of various attributes like Age, Sex, BP (Blood Pressure), Cholesterol Level, and Na_to_K (Sodium to Potassium ratio), with the objective to determine the kind of drug being given. The models used in this paper are K-Nearest Neighbors (KNN), Logistic Regression and Random Forest. Further to fine-tune hyper parameters using 5-fold cross-validation, GridSearchCV was used and each model was trained and tested on the dataset. To assess the performance of each model both with and without hyper parameter tuning evaluation metrics like accuracy, confusion matrices, and classification reports were used and the accuracy of the models without GridSearchCV was 0.7, 0.875, 0.975 and with GridSearchCV was 0.75, 1.0, 0.975. According to GridSearchCV Logistic Regression is the most suitable model for drug classification among the three-model used followed by the K-Nearest Neighbors. Also, Na_to_K is an essential feature in predicting the outcome.