• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.89-100
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• 2014

The purpose of this study was to reveal association between medical service quality, consumer satisfaction, service value and customer loyalty. Medical service quality was composed of physical quality, personal quality, technical quality, procedural quality. We thought these factors affect to the consumer satisfaction, service value and customer loyalty. For this study, 221 dental patients in Busan and Ulsan are participated in this study. The data were analyzed with descriptive statistics, t-test, ANOVA, pearson's correlation coefficients, and stepwise multiple regression analysis with SPSS 18.0 program. In conclusion, we obtained the next results. First, the influencing factor in consumer satisfaction were physical quality(${\beta}$=.519), personal quality(${\beta}$=.262), procedural quality(${\beta}$=.110), adjusted $R^2$=.537. Second, the influencing factor in service value were physical quality(${\beta}$=.253), personal quality(${\beta}$=.251), technical quality(${\beta}$=.210), procedural quality(${\beta}$=.136), adjusted $R^2$=.401. Third, the influencing factor in customer loyalty were personal quality(${\beta}$=.343), physical quality(${\beta}$=.302), procedural quality(${\beta}$=.148), adjusted $R^2$=.398. As dental patients' desire to medical service quality becomes diversified, the analysis result is considered to help the future dental service management.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.65-75
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• 2019

We point out the limitations of Bloomberg Adjustment beta, shows that long-term beta does not converge with 1 and suggests an alternative to using proxy beta as beta's long-term forecast. We analyze whether the beta produced in the manner proposed by Bloomberg beta or proxy beta meets the purpose of calculating capital costs, for example, for the evaluation of corporate value. In particular, We apply in impairment valuations of assets and some analysis of how it affects. The proposal of the article applied in cases of analysis results are as follows : First, unlike the Bloomberg approach, long-term beta does not converge with market beta and therefore is not suitable as market forecast by beta. Second, estimating the suggested proxy beta as beta's predictive value resulted in Bloomberg beta and other adjustment Beta in the case categories, and the gap was large. Third, applying proxy beta results in a more appropriate valuation of the impairment loss on assets.

• Journal of Korean society of Dental Hygiene
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• v.16 no.6
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• pp.1023-1031
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• 2016

Objectives: The purpose of the study was to investigate the related factors of learning ethics of dental hygiene students. Methods: A self-reported questionnaire was completed by 278 dental hygiene students in G metropolitan city from June 9 to July 29, 2016. The data were analyzed by frequency analysis, percentage and stepwise multiple regression analysis using SPSS 12.0 program. The questionnaire comprised learning ethics (10 items), condition of learning ethics (10 items), reason of plagiarism (8 items), intellectual property right consciousness (8 items), internet ethics consciousness (20 items), individual ethics consciousness (2 items). Results: Condition of learning ethics was higher in mosaic plagiarism (33.9%). The main reason of plagiarism was higher in lack of time (52.7%). Related factors with the intellectual property right consciousness was use of reference (${\beta}=0.424$), internet expectancy (${\beta}=0.228$) and parental rearing attitude (${\beta}=0.229$) (Adjusted $R^2=0.336$). Related factors with the internet ethics consciousness were parental rearing attitude (${\beta}=-0.241$), academic achievements (${\beta}=0.420$), internet expectancy (${\beta}=-0.368$) and grade (${\beta}=-0.154$)(Adjusted $R^2=0.390$). Related factor with the individual ethics consciousness was academic achievements (${\beta}=0.445$) (Adjusted $R^2=0.192$). Conclusions: To increase the learning ethics and preventing plagiarism, it is necessary to have essential understanding and practice to make the liberal arts education and extracurricular program of institutions.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.506-509
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• 2005

An adaptive ${\alpha}-{\beta}$ tracker is proposed for tracking maneuvering targets with a track-while-scan radar system. The tracker gain is updated on-line corresponding to the adjusted process noise variance which is obtained via time averaging of the process over a sliding window. The adjusted process noise variance is used to compute the maneuverability index for the tracker gain based on the steady-state Kalman filter equation for each epoch. It is shown via simulation that the proposed approach provides robust and accurate position estimates during the target maneuver while the performance of the conventional ${\alpha}-{\beta}$ tracker is shown much degraded.

• Korean Journal of Community Nutrition
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• v.8 no.6
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• pp.822-830
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• 2003

Carotenoid-rich foods focus one's attention on the prevention age-related diseases. This study was conducted to investigate the carotenoid status and look into the factors that affect the bioavailability of carotenoid in 121 elderly nonsmoking Korean women. Carotenoids and lipids in plasma, and nutrient intakes including carotenoid were studied. The mean plasma total-cholesterol, HDL-cholesterol, LDL-cholesterol and triacylglycerol concentrations were 220.0 mg/dl 49.5mg/dl , 139.2mg/dl and 157.4mg/dl , respectively. Significantly positive correlations were found between the plasma lutein + zeaxanthin, lycopene and $\beta$-carotene concentrations and the intake of fruits (r=0.17, r=0.20, r=0.19). However, significantly negative correlations were found between the plasma zeaxanthin, and $\beta$-carotene concentrations that adjusted for carotenoid intakes and intakes of vegetables (r=-0.21, r=-0.19), and between plasma lutein＋zeaxanthin, lycopene and $\beta$-carotene concentrations that adjusted for carotenoid intakes and intakes of fruits (r= -0.21, r=-0.18, r=-0.24). After the adjustment for plasma lipids, there was no correlation between the plasma carotenoid concentrations and the carotenoid-rich foods. However, after adjustment for fiber intake, significantly strong positive correlations were found between the plasma carotenoid concentrations and carotenoid-rich foods. The plasma levels of carotenoid biomarkers (plasma carotenoid concentrations adjusted for dietary fiber intakes) decreased with age, and the plasma levels of lycopene biomarkers (plasma lycopene concentrations adjusted for dietary fiber intakes) increased with regular exercise. However alcohol drinking had no impact. These results suggested that age, physical activity, and dietary fiber intake affected the bioavailability of carotenoid. Therefore, when the elderly have carotenoid-rich foods, they should consider ways of increasing the bioavailability of carotenoid through cooking methods and Physical activity.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.605-613
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• 2020

In unfrictionless markets, one measure of asset pricing is its height of friction. This study develops a three-factor model by loosening the assumptions about stocks without friction, without risk, and perfectly liquid. Friction is used as an indicator of transaction costs to be included in the model as a variable that will reduce individual profits. This approach is used to estimate return, beta and other variable for firms listed on the Indonesian Stock Exchange (IDX). To test the efficacy of friction-adjusted three-factor model, we use intraday data from July 2016 to October 2018. The sample includes all listed firms; intraday data chosen purposively from regular market are sorted by capitalization, which represents each tick size from the biggest to smallest. We run 3,065,835 intraday data of asking price, bid price, and trading price to get proportional quoted half-spread and proportional effective half-spread. We find evidence of adjusted friction on the three-factor model. High/low trading friction will cause a significant/insignificant return difference before and after adjustment. The difference in average beta that reflects market risk is able to explain the existence of trading friction, while the difference between SMB and HML in all observation periods cannot explain returns and the existence of trading friction.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.839-850
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• 2021

Risk-adjusted return is believed to be one of the optimal parameters to determine an optimum portfolio. A risk-adjusted return is a calculation of the profit or potential profit from an investment that takes into account the degree of risk that must be accepted to achieve it. This paper presents a new procedure in portfolio selection and utilizes these results to optimize the risk level of risk-adjusted Islamic stock portfolios. It deals with the weekly close price of active issuers listed on Jakarta Islamic Index Indonesia for a certain time interval. Overall, this paper highlights portfolio selection, which includes determining the number of stocks, grouping the issuers via technical analysis, and selecting the best risk-adjusted return of portfolios. The nominated portfolio is modeled using Quadratic Programming (QP). The result of this study shows that the portfolio built using the lowest Value at Risk (VaR) outperforms the market proxy on a risk-adjusted basis of M-squared and was chosen as the best portfolio that can be optimized using QP with a minimum risk of 2.86%. The portfolio with the lowest beta, on the other hand, will produce a minimum risk that is nearly 60% lower than the optimal risk-adjusted return portfolio. The results of QP are well verified by a heuristic optimizer of fmincon.

• Journal of Korean Biological Nursing Science
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• v.19 no.3
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• pp.123-130
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• 2017

Purpose: This study aimed to identify factors influencing intra-operative core body temperature (CBT), and to develop a predictive model for intra-operative CBT in laparoscopic abdominal surgery. Methods: The prospective observational study involved 161 subjects, whose age, weight, and height were collected. The basal pre-operative CBT, pre-operative blood pressure, and heartbeat were measured. CBT was measured 1 hour and 2 hours after pneumoperitoneum. Results: Explanatory factors of intra-operative hypothermia (< $36^{\circ}C$) were weight (${\beta}=.361$, p< .001) and pre-operative CBT (${\beta}=.280$, p= .001) 1 hour after pneumoperitoneum (Adjusted $R^2=.198$, F= 7.56, p< .001). Weight was (${\beta}=.423$, p< .001) and pre-operative CBT was (${\beta}=.206$, p= .011) 2 hours after pneumoperitoneum (Adjusted $R^2=.177$, F= 5.93, p< .001). The researchers developed a predictive model for intra-operative CBT ($^{\circ}C$) by observing intra-operative CBT, body weight, and pre-operative CBT. The predictive model revealed that intra-operative CBT was positively correlated with body weight and pre-operative CBT. Conclusion: Influence of weight on intra-operative hypothermia increased over time from 1 hour to 2 hours after pneumoperitoneum, whereas influence of pre-operative CBT on intraoperative hypothermia decreased over time from 1 hour to 2 hours after pneumoperitoneum. The research recommends pre-warming for laparoscopic surgical patients to guard against intra-operative hypothermia.

• Journal of Korean Biological Nursing Science
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• v.17 no.4
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• pp.287-296
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• 2015

Purpose: The purpose of this study was to identify the influence of physical activity and depression on sleep quality among the young-old and old-old community-dwelling elderly. Methods: Participants were 216 community-dwelling older adults in Korea aged 65 or above. Data were collected using structured questionnaires with face-to-face interviews that included demographic and health-related characteristics, International Physical Activity Questionnaires (IPAQ), the Short Form Geriatric Depression Scale (SGDS) and the Pittsburgh Sleep Quality Index (PSQI). A hierarchical multiple regression was conducted to examine whether physical activity and depression would predict sleep quality under other controlled factors. Results: There were differences in demographic and health-related characteristics, physical activity, and depression by age groups, but not in sleep quality. In the young-old elderly, physical activity (${\beta}=-0.22$, p=.043) and depression (${\beta}=0.31$, p=.002) were significantly associated with sleep quality (F=4.46, p=.001, Adjusted $R^2=.16$). In the old-old elderly, physical activity (${\beta}=-0.29$, p=.001) and depression (${\beta}=0.41$, p<.001) were significantly associated with sleep quality (F=10.79, p<.001, Adjusted $R^2=.29$). Conclusion: These finding highlight physical activity and depression as important contributors to sleep quality in both young-old and old-old elderly.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.51
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• pp.151-161
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• 1999

For many decades, Deterministic DCF approach has been widely used to evaluate investment opportunities. Under new manufacturing conditions involving uncertainty and risk, the DCF approach is not appropriate. In DCF, Risk is incorporated in two ways: certainty equivalent method, risk adjusted discount rate. This paper proposes a determination method of the Risk Adjusted Discount Rate for economically decision making advanced manufacturing technologies. Conventional DCF techniques typically use discount rate which do not consider the difference in risk of differential investment options and periods. Due to their relative efficiency, advanced manufacturing technologies have different degree of risk. The risk differential of investments is included using $\beta$ coefficient of capital asset pricing model. The comparison between existing and proposed method investigated. The DCF model using proposed risk adjusted discount rate enable more reasonable evaluation of advanced manufacturing technologies.