• The Korean Journal of Food And Nutrition
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• v.30 no.6
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• pp.1252-1259
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• 2017

The objective of this study was to examine the effects of rice (R) and brown rice (BR) flour on the quality characteristics of morning bread. The quality characteristics of morning bread were determined by measuring the pH of the dough, dough raising power, moisture content, baking loss rate, specific volume, height, color value, texture analysis and sensory evaluations. The pH of the bread dough was highest on R1:BR2 and R0:BR3. The dough raising power and moisture content steadily and significantly decreased as the amount of added brown rice flour increased. The baking loss rate was highest on R3:BR0. The specific volume and height of morning bread were highest on R3:BR0 and R2:BR1. In color value, the L value decreased significantly as the amount of added brown rice flour increased, while a value and b value increased. The hardness, gumminess and chewiness of morning bread increased with an increase in brown rice flour. In consumer acceptability, R3:BR0, R2:BR1 and R1:BR2 showed the highest scores in all parameters. Characteristic intensity rating of roasted taste was lowest on R3:BR0. These results indicate that R2:BR1 showed similar quality characteristics as compared to morning bread without brown rice flour, with the optimal results appreciated with a 2:1 ratio of rice flour to brown rice flour.

• Asia Pacific Journal of Business Review
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• v.1 no.2
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• pp.37-62
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• 2017

To analyze the effects of R&D expenditure on the firm value of Korean firms, we classified portfolios based on R&D activity levels. After that, we conducted a time-series analysis to assess excess returns from the portfolios. To carry out such an analysis, an empirical analysis of excess returns in the capital market was performed by using the monthly earning rate of stocks from 2000 to 2013. The purpose of this research is to provide basic data on investment to stakeholders in the capital market by analyzing the effects of R&D on the firm value and to overcome scholarly limitations by offering a new model of analysis. The criteria for classifying the portfolios were based on R&D expenditure levels. The analysis models follow the Fama-French Three-Factor Model and the Carhart Four-Factor Model. The analyses results are as follows. Extrapolating monthly profit rates based on R&D expenditure levels, portfolios with low R&D expenditures showed higher earning rates than those with high R&D expenditures. This suggests that high R&D expenditures did not translate into high earning rates. The investor depreciates the R&D expenditures related profitability and the possibility of success in the market, leading to falls in stock prices and a failure to give a positive effect on the firm value. Our research differs from the previous investigations as we carried out an empirical analysis based on the actual investors' attitudes about R&D expenditures and how these can generate excess earnings. Our research results show that the data related to R&D expenditure are not reflected fully in the market.

• The Korean Journal of Physiology
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• v.1 no.1
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• pp.73-76
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• 1967

A nomogram of gas exchange ratio (R) in air breathing subjects ,was porposed which enables a simple and rapid determination of R value using the fractional concentrations of nitrogen and carbon dioxide in the expired or alveolar gas. The readable limit of R value seems less than 1/100 of R unit and the average difference between the values from the nomogram and the actually calculated values is less than 0.005 of R unit. The usefulness of this nomogram for rapid and frequent determinations of the oxygen uptake is also suggested.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.481-504
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• 2006

VaR, a tail-related risk measure is now widely used as a tool for a measurement and a management of financial risks. For more accurate measurement of VaR, recently we are particularly concerned about the approach based on extreme value theory rather than the traditional method based on the assumption of normal distribution. However, many studies about the approaches using extreme value theory was done only for the univariate case. In this paper, we discuss portfolio risk measurements with modelling multivariate extreme value distributions by combining copulas and extreme value theory. We also discuss the estimation of ES together with VaR as portfolio risk measures. Finally, we investigate the relative superiority of EVT-copula approach than variance-covariance method through the back-testing of an empirical data.

• Child Health Nursing Research
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• v.7 no.2
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• pp.179-190
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• 2001

The purposes of the study were to develop an instrument for family value and to identify the relationships of family value, family hardiness, and family adaptation by appling the family value scale to family with cancer children. The study was conducted in three phases. 1) A survey was conducted from July 20 to August 20, 1999 and 18 items of general family value scale was modified from the data of 153 fathers and 164 mothers. 2) In-depth interviews were made with 29 parents of cancer children from April 20, 1998 to May 20, 1999 to develop family value scale with cancer children, and 12 statements were developed. 3) The final survey was conducted from July 18, 2000 to August 30, 2000 and the data from 309 parents of children who are diagnosed as cancer, 18 or less years of age, and treated either hospitalized or at the outpatient clinics were analyzed to identify the relationships of the concepts. The data analysis utilized SAS 6.12 and LISREL 8 for descriptive statistics, correlation, and Regression for path analysis. The study findings are as follows. The psychometric testing of general family value scale was Cronbach's alpha = 0.78. The reliability of the family value scale with cancer children showed the reliability as Cronbach's alpha = 0.73. Demographic characteristics showing significant correlations were cancer children's age, period of illness, period after completing treatment, mother's age, mother's education level, monthly income, payment type, confidence with health professional, and severity of children's illness. The correlation coefficients among major variables showed that family stressor was positively related with family strains(r=0.33, p<.001), and negatively related with family hardiness(r=-0.21, p<.001). Family strains was negatively related with family hardiness(r= -0.41, p<.001) and family adaptation(r=-0.46, p<.001). Correlations of family hardiness was positive with family value with cancer children(r=-0.31, p<.001), and negative with general family value(r=-0.16, p<.01). Family hardiness was positively related with family adaptation(r=0.35, p<.001). The causal relationship between study variables showed that family strains predicts general family value(γ=0.12, t=2.02), family value with cancer children predicts family hardiness(γ=0.31, t=6.30), family strains predicts family hardiness(γ=-0.40, t=-7.70), family value with cancer children predicts family adaptation(γ=-0.23, t=-4.11), and family hardiness predicts family adaptation(γ=0.43, t=7.78).

• Proceedings of the Technology Innovation Conference
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• 1999.12a
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• pp.159-177
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• 1999

Many companies still struggle with the issue of research and development(R&D) performance measurement, in particular, the nonfinancial performance measurement of R&D with coming of knowledge-based society, Of course, we would not deny the fact that financial measures play the central role in assessing the overall performance of R&D, The aim of this paper is to provide the new model to evaluate the quantitative value of technology (nonfinancial benefits). This new model is based on the technology stock(technology level) acquired in R&D process, That is, we take it for granted that the acquired technology below a certain level(<70% compare to the advanced country) can not be utilized in developing the new products or in proving the manufacturing processes, The evaluation model we create can explains the quantitative relation between the technology stock and the market value considering R&D expenditure to acquire the technology above certain level(>70%) and cost to prevent the technology obsolescence. The value of non-destructive testing technology, which is one of the electric Power technology, is measured quantitatively using our new model as a case study, We also discussed briefly the possibility of capitalization of the measured technology value.

• The Korean Journal of Applied Statistics
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• v.29 no.4
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• pp.753-771
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• 2016

Value at Risk (VaR) is widely used as an important tool for risk management of financial institutions. In this paper we discuss estimation and back testing for VaR of the portfolio composed of KOSPI, Dow Jones, Shanghai, Nikkei indexes. The copula functions are adopted to construct the multivariate distributions of portfolio components from marginal distributions that combine extreme value theory and GARCH models. Volatility models with t distribution of the error terms using Gaussian, t, Clayton and Frank copula functions are shown to be more appropriate than the other models, in particular the model using the Frank copula is shown to be the best.

• Korean Journal of Acupuncture
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• v.24 no.4
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• pp.55-67
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• 2007

Objectives : The repeatability and reproducibility of MIR-2, a newly developed impedance measurement device (four electrode method) on skin are of the meridian system, is evaluated and a method to improve the reliability is discussed. Methods : Multiple gage R&R studies were conducted for the impedance measurements over bilateral KI3 acupoint in ten participants by three assessors using MIR-2 device. Gage R&R studies were repeated after controlling the acupoint locating method or one value correction by replacing one assessor's outlying value with an average of the other assessors' values to explore any feasibility of improvement of measurement reliability. Results : Controlling acupoint locating method and replacing one value with an average of other assessors' value led to improved variation metrics in a gage R&R study. Conclusions : Measurement reliability can be improved by controlling measurement procedures or by using repeated measurement method, which will facilitate development of clinically applicable measurement device with reliability.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.822-830
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• 2008

We aim to confirm empirically that a corporate's R&D expenditure effect positively on its value. As a result of the regression analysis on financial statements of KSE and KOSDAQ enterprises, the sum of R&D expenditure effects positively on corporate value. Moreover, we have the result that R&D expenditure appropriated as cost has more effect on corporate value than the expenditure appropriated as asset.

• The Korean Journal of Applied Statistics
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• v.25 no.5
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• pp.757-773
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• 2012

Traditional value at risk(S-VaR) has a difficulity in predicting the future risk of financial asset prices since S-VaR is a backward looking measure based on the historical data of the underlying asset prices. In order to resolve the deficiency of S-VaR, an economic value at risk(E-VaR) using the risk neutral probability distributions is suggested since E-VaR is a forward looking measure based on the option price data. In this study E-VaR is estimated by assuming the generalized gamma distribution(GGD) as risk neutral density function which is implied in the option. The estimated E-VaR with GGD was compared with E-VaR estimates under the Black-Scholes model, two-lognormal mixture distribution, generalized extreme value distribution and S-VaR estimates under the normal distribution and GARCH(1, 1) model, respectively. The option market data of the KOSPI 200 index are used in order to compare the performances of the above VaR estimates. The results of the empirical analysis show that GGD seems to have a tendency to estimate VaR conservatively; however, GGD is superior to other models in the overall sense.