• Journal of Christian Education in Korea
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• v.71
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• pp.211-240
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• 2022

This study analyzed research trends related to Christian school education in Korea. In order to analyze academic societies and conferences related to Christian school education, the topics of conferences and research results and theses related to Christian school education in Korea were collected to analyze the frequency and trend of Christian school education-related topics. In addition, papers searched as "Christian schools" among the academic journal's published papers were classified and organized. In order to understand research trends related to Christian school education, the year and frequency of academic journals related to Christian school education were analyzed, and the contents of the published papers were divided into research schools, research subjects, and research contents.As a result of analyzing research trends of Christian school education, it was found that there were very few academic exchanges or academic activities related to Christian school education, and most supported lectures and meetings related to the reconstruction of curriculum and class management directly supporting school sites. Therefore, this study proposed that academic societies and conferences should be revitalized in Christian school education-related institutions. In addition, this study found that annual academic conferences of Christian education-related academic societies were rarely held under the theme of Christian school education, and suggested to revitalize research related to Christian school education in the academic societies of Christian education in order that God's kingdom may be restored and expanded in the area of education by recovering school education through active research on Christian school education. Third, as a result of analyzing the papers published in domestic journals, it was confirmed that research on Christian school education was mainly conducted around universities, and the topics were limited to history, curriculum, religious education, identity, and missionary work. In this regard, this study proposed to expand the research topics related to Christian school education. Finally, as a result of analyzing the published academic journals that studied on Christian school education, it was found that the non-Christian camp is also conducting research with interest in Christian schools, and thus, communication with the non-Christian camp was proposed to revitalize research on Christian school education.

• Tuberculosis and Respiratory Diseases
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• v.61 no.6
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• pp.547-553
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• 2006

Background: Liquid-based cytology is currently known as an effective method, and cervical cytology has been shown to be especially effective from of malignancy detection. In our study, the cytological detection rates of the Thinprep (Liquid-based cytology) and conventional cytology (bronchial washing & brushing) for endobronchial lesions were compared. Methods: Between July 2005 and September 2005, the data from 30 patients with respiration symptom, who had shown abnormal lesion on bronchoscopy, were collected. Results: The bronchoscopic biopsy group was consisted of 30 cytodiagnosis specimens, 24 of which were confirmed to be malignant. The others were tuberculosis (4), bronchiectasis and bronchopulmonary fistula (1 each). Of the 24 malignant case, cancer or atypical cells were detected in 19, 17 and 12 of the Thinprep, brushing cytology and washing cytology cases, respectively. None one of the methods detected cancer cells in the non-malignant specimens. Washing cytology has shown sensitivity, specificity, and positive and negative predictive values of 50, 100, 100 and 33.3% respectively. Brushing cytology has shown sensitivity, specificity, and positive and negative predictive values of 70.8, 100, 100 and 46.2%, respectively. Thinprep has shown sensitivity, specificity, and positive and negative predictive values of 79.2, 100, 100 and 54%, respectively. Conclusions: Thinprep (liquid-based cytology) showed better sensitivity and negative predictive values for the evaluation of lung cancer than conventional cytology. However a large-scale study will be needed in the future.

• Economic and Environmental Geology
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• v.38 no.6 s.175
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• pp.643-656
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• 2005

The East Sea, a marginal sea or back-arc basin, consists of Japan Basin, Yamato Basin, and Ulleung Basin and is surrounded by the Pacific Plate and Philippine Sea Plate. Ulleung Basin locates in the southwestern part of the East Sea and shows the depth of 1,500 m in average and 2,500 m in maximum, connecting to the Japan Basin along 2,000 m contour. The slope of the seafloor is greater in the western side of the basin than in the southern and the eastern side. The crustal thickness of the Ulleung Basin from the OBS tends to get thicker toward the north and the west side and the sediment thickness of the Ulleung Basin is getting thicker toward the southeast side and reaches up to 12 km. The crustal type of the Ulleung Basin was variously suggested as like as a rifted continental crust, an extended continental crust, and an incipient oceanic trust. The origin of the crustal formation and the Ulleung Basin, however, is still controversial. Based on the bathymetry and gravtiy anomaly data for this study, the axis of the Ulleung Basin shows that the basin develops along the axis trending NW-SE direction and reveals a general symmetry of the bathymetry. And also the free-air gravity anomalies show a very similar pattern to the bathymetry of the basin. The sediment thickness is relatively thicker in the southeastern side of the basin than in the northwestern side. Although the crustal age of the Ulleung Basin is supposed to be younger than them of the Japan Basin and the Yamato Basin, the free-air gravity anomalies of the Ulleung Basin ranging -40 to 50 mGals are lower than the other basins, which suggests that the densities of crust and sediment of the Ulleng Basin are lower than the Japan Basin and the Yamato Basin.

• Journal of The Korean Association For Science Education
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• v.34 no.8
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• pp.731-744
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• 2014

Extracting students' own culture and resources as main sources in science class, we begin a research to explore teaching and learning settings that are more responsive to adolescents. This study has been designed to explore the funds of knowledge that students bring into middle school science class. It also focused on the features of teaching and learning settings that stimulated the autonomous inflow of students' funds of knowledge as resources of science learning. Data from participant observations and in-depth interviews with 7th grade students were qualitatively analyzed based on grounded theory. We found that students' funds of knowledge were formed from their family life, neighbor communities, peer group, and pop culture. The funds of knowledge based on peer culture emerged as the most salient factor of students' enhanced participation and utterance. Common features of classes that stimulated the inflow of funds of knowledge were analyzed to be: (1) hybrid spaces for learning designed in advance: (2) sharing and enlargement of the funds of knowledge that has been brought into the class: and (3) common orientation of the community of practice for knowledge co-construction and shared outcomes. From these findings, this paper discussed the educational implications for promoting students' potential resources to actual sources of science class. It also discussed students' development of participation specifically among the generally marginalized students. Science classes based on the funds of knowledge of students offer an increased possibility of knowledge co-construction through the hybridized interactions of student's everyday lives and science knowledge and lead to more meaningful learning experiences.

• Clinical and Experimental Pediatrics
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• v.48 no.12
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• pp.1362-1369
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• 2005

Purpose : This study aimed to investigate the correlation between the plasma level of N-terminal pro-B-type natriuretic peptide(pro-BNP) and several known risk factors influencing outcomes after Fontan operations, and to assess whether pro-BNP levels can be used as predictive risk factors in Fontan operations. Methods : Plasma pro-BNP concentrations were measured in 35 patients with complex cardiac anomalies before catheterization. Cardiac catheterization was performed in all subjects. Mean right atrium pressure, mean pulmonary artery pressure(PAP), and ventricular end-diastolic pressure(EDP) were obtained. Cardiac output and pulmonary vascular resistance were calculated by Fick method. Results : Plasma pro-BNP levels exhibited statistically significant positive correlations with mean PAP(r=0.70, P<0.001), pulmonary vascular resistance(r=0.57, P<0.001), RVEDP(r=0.63, P<0.001), LVEDP(r=0.74, P<0.001), and cardiothoracic ratio(r=0.71, P<0.001). The area under the ROC curve using pro-BNP level to differentiate risk groups in Fontan operations was high : 0.868(95 percent CI, 0.712-1.023, P<0.01). The cutoff value of pro-BNP concentrations for the detection of risk groups in Fontan operations was determined to be 332.4 pg/mL(sensitivity 83.3 percent, specificity 82.7 percent). Conclusion : These data suggest that plasma pro-BNP levels may be used as a predictive risk factor in Fontan operations, and as a guide to determine the mode of therapy during follow-up after Fontan operations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.4
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• pp.881-893
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• 2007

IT(Information Technology)-based industries have caused a recent digital revolution and the appearance of various types' information service, being largely expanded toward info-communication device company, info-communication service company, software company etc.. Therefore, the needs to evaluate the company value of IT business for M&A or liquidation are growing tremendously. Unlike other industries, however, IT industry has a short lift cycle and so it doesn't have not only a company value-evaluating model for general businesses but the objective one for IT companies yet. So, this thesis analyzes various value-evaluating technique and newly rising ROV. DCF, the change method of company's cash flow including tangible assets into future value, had been applied during the past industrialization economy era and has been persuasively applied to the present. However, the DCF valuation has no option but to make many mistakes because IT companies have more intangible assets than tangible assets. Accordingly, it is ROV, recognized as the new method of evaluating companies' various options normally and quantitatively, that is brought up recently. But the evaluation on the companies' various options is too subjective and theoretical up to now and due to the lack of objective ground and options, it's not possible to be applied to reality. In this thesis, it is found that ROV is more accurate than DCF, comparing DCF and ROV through four examples. As the options applied to ROV are excessively limited, we tried to develop ROV into a new method by deriving five invisible value factors within IT companies. Therefore, on this occasion, we should set up the basic valuation methods on IT companies and should research and develop an effective and various valuation methods suitable to each company like an internet-based company, a S/W developing enterprise, a network-related company among IT companies.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.107-122
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• 2017

Volatility in the stock market returns is a measure of investment risk. It plays a central role in portfolio optimization, asset pricing and risk management as well as most theoretical financial models. Engle(1982) presented a pioneering paper on the stock market volatility that explains the time-variant characteristics embedded in the stock market return volatility. His model, Autoregressive Conditional Heteroscedasticity (ARCH), was generalized by Bollerslev(1986) as GARCH models. Empirical studies have shown that GARCH models describes well the fat-tailed return distributions and volatility clustering phenomenon appearing in stock prices. The parameters of the GARCH models are generally estimated by the maximum likelihood estimation (MLE) based on the standard normal density. But, since 1987 Black Monday, the stock market prices have become very complex and shown a lot of noisy terms. Recent studies start to apply artificial intelligent approach in estimating the GARCH parameters as a substitute for the MLE. The paper presents SVR-based GARCH process and compares with MLE-based GARCH process to estimate the parameters of GARCH models which are known to well forecast stock market volatility. Kernel functions used in SVR estimation process are linear, polynomial and radial. We analyzed the suggested models with KOSPI 200 Index. This index is constituted by 200 blue chip stocks listed in the Korea Exchange. We sampled KOSPI 200 daily closing values from 2010 to 2015. Sample observations are 1487 days. We used 1187 days to train the suggested GARCH models and the remaining 300 days were used as testing data. First, symmetric and asymmetric GARCH models are estimated by MLE. We forecasted KOSPI 200 Index return volatility and the statistical metric MSE shows better results for the asymmetric GARCH models such as E-GARCH or GJR-GARCH. This is consistent with the documented non-normal return distribution characteristics with fat-tail and leptokurtosis. Compared with MLE estimation process, SVR-based GARCH models outperform the MLE methodology in KOSPI 200 Index return volatility forecasting. Polynomial kernel function shows exceptionally lower forecasting accuracy. We suggested Intelligent Volatility Trading System (IVTS) that utilizes the forecasted volatility results. IVTS entry rules are as follows. If forecasted tomorrow volatility will increase then buy volatility today. If forecasted tomorrow volatility will decrease then sell volatility today. If forecasted volatility direction does not change we hold the existing buy or sell positions. IVTS is assumed to buy and sell historical volatility values. This is somewhat unreal because we cannot trade historical volatility values themselves. But our simulation results are meaningful since the Korea Exchange introduced volatility futures contract that traders can trade since November 2014. The trading systems with SVR-based GARCH models show higher returns than MLE-based GARCH in the testing period. And trading profitable percentages of MLE-based GARCH IVTS models range from 47.5% to 50.0%, trading profitable percentages of SVR-based GARCH IVTS models range from 51.8% to 59.7%. MLE-based symmetric S-GARCH shows +150.2% return and SVR-based symmetric S-GARCH shows +526.4% return. MLE-based asymmetric E-GARCH shows -72% return and SVR-based asymmetric E-GARCH shows +245.6% return. MLE-based asymmetric GJR-GARCH shows -98.7% return and SVR-based asymmetric GJR-GARCH shows +126.3% return. Linear kernel function shows higher trading returns than radial kernel function. Best performance of SVR-based IVTS is +526.4% and that of MLE-based IVTS is +150.2%. SVR-based GARCH IVTS shows higher trading frequency. This study has some limitations. Our models are solely based on SVR. Other artificial intelligence models are needed to search for better performance. We do not consider costs incurred in the trading process including brokerage commissions and slippage costs. IVTS trading performance is unreal since we use historical volatility values as trading objects. The exact forecasting of stock market volatility is essential in the real trading as well as asset pricing models. Further studies on other machine learning-based GARCH models can give better information for the stock market investors.