• Journal of Korean Physical Therapy Science
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• v.4 no.2
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• pp.439-452
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• 1997

Mothers of handicapped children experience many problems and difficulties related to the child's prolonged dependency and demands for special care. Social support can be identified as stress-relieving factor, social support is considered to decrease the amount of negativeness in an individual or family. This study attempted to identify the level of burden and social support in mothers of children who are handicapped, and to determine whether social support is an effective strategy for burden relief in these mothers. The method used in the study was a correlational descriptive survey using a questionnaire. The subjects for the study were 42 mothers who have the handicapped children, between two to twelve years of age, being treated at S General Welfare House for Handicapped and S Rehabilitation Center in Seoul. The data were collected during 1 month from March 20 to April 20, 1996. The instruments used for this study was a structured questionnaire which was the Burden scale developed by Suh Mihae and Oh Kasil(1993) and the PRQ(Personal Resource Questionnaire) scale developed by Brandt & Weinert(1981). The collected data were analyzed using the SPSS computer program, yielding frequencies, percentiles, means, standard deviations, $x^{2}$-test, Pearson's correlation coefficienct, t-test and ANOVA. The results of this study are as follows ; 1)The range of age in the subjects was $29{\sim}44$ years, the range age in the handicapped children was $2{\sim}12$ years. 2) The mean score of burden, for the mothers of the handicapped children was 2.75(standard deviation was 0.47) of a possible total of 5. 3) The mean score of social support, for the mothers of the handicapped children was 4.99 (standard deviation was 0.59) of a possible total of 7. 4) There was an negative correlations hip between burden level and the social support, but there was no statistically significant correlationship between burden level and the social support(r = -.2252, p = .076) 5) In the general characteristics influencing on the burden level was significantly related with the sex(t = - 2.87, p = .007) and the degree of child's handicap level(F = 11.8680, p = .000l). In the general characteristics influencing on the social support was significantly related with the family(husband) support(F = 3.5199, p = .0240). There were significant differences in the mother's levels of burden depending upon the severity of child's handicap. In other words, the degree of mother's burden was directly proportionate to the degree of child's handicap level. There were significant differences in the mother's levels of social support depending upon the family(husband) support. In conclusion, on the basis of the results of this study, there was no statistically significant correlationship between burden level and the social support. Above results suggest that strategies for the intervention programs in diminishing the mother's burden and reinforcing the social support.

• Journal of Distribution Science
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• v.11 no.10
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• pp.63-72
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• 2013

Purpose - This study analyzes the relationship and dynamic interactions between stock price index, interest rate, price index, and housing price indices using Korean monthly data from 2000 to 2013, based on a VAR model. This study also examines Granger causal relationships among these variables in order to determine whether the time series of one is useful in forecasting another, or to infer certain types of causal dependency between stochastic variables. Research design, data, and methodology - We used Korean monthly data for all variables from 2000: M1 to 2013: M3. First, we checked the correlations among different variables. Second, we conducted the Augmented Dickey-Fuller (ADF) test and the co-integration test using the VAR model. Third, we employed Granger Causality tests to quantify the causal effect from time series observations. Fourth, we used the impulse response function and variance decomposition based on the VAR model to examine the dynamic relationships among the variables. Results - First, stock price Granger affects interest rate and all housing price indices. Price index Granger, in turn, affects the stock price and six metropolitan housing price indices. However, none of the Granger variables affect the price index. Therefore, it is the stock markets (and not the housing market) that affects the housing prices. Second, the impulse response tests show that maximum influence on stock price is its own, and though it is influenced a little by interest rate, price index affects it negatively. One standard deviation (S.D.) shock to stock price increases the housing price by 0.08 units after two months, whereas an impulse shock to the interest rate negatively impacts the housing price. Third, the variance decomposition results report that the shock to the stock price accounts for 96% of the variation in the stock price, and the shock to the price index accounts for 2.8% after two periods. In contrast, the shock to the interest rate accounts for 80% of the variation in the interest rate after ten periods; the shock to the stock price accounts for 19% of the variation; however, shock to the price index does not affect the interest rate. The housing price index in 10 periods is explained up to 96.7% by itself, 2.62% by stock price, 0.68% by price index, and 0.04% by interest rate. Therefore, the housing market is explained most by its own variation, whereas the interest rate has little impact on housing price. Conclusions - The results of the study elucidate the relationship and dynamic interactions among stock price index, interest rate, price index, and housing price indices using VAR model. This study could help form the basis for more appropriate economic policies in the future. As the housing market is very important in Korean economy, any changes in house price affect the other markets, thereby resulting in a shock to the entire economy. Therefore, the analysis on the dynamic relationships between the housing market and economic variables will help with the decision making regarding the housing market policy.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.295-303
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• 2016

This study aimed to assess the influence of nicotine dependence with satisfaction of basic psychological needs, social support, attitude on smoking among middle school students. From Sep, 2015 to Nov, 2015, participants included 150 middle school students from D city and K province in Korea. Data for basic psychological needs, social support, attitude on smoking and nicotine dependence were collected through a self-reported questionnaire and were analyzed with independent t-test and analysis of variance, Pearson's correlation analysis, and multiple linear regression analysis. This study shows negative correlations between nicotine dependence and satisfaction of basic psychological needs(r=-.221, P=.008), competency(r=-.194, P=.021), relatedness(r=-.219, P=.009). The variables predicting nicotine dependence were satisfaction of basic psychological needs(${\beta}=.221$, p=.008). These variables accounted for 42% of the variance of nicotine dependence in smoking middle school students. Our results indicated that it is necessary to increase basic psychological needs to decrease nicotine dependence. Therefore we should develop programs in order to increase satisfaction of basic psychological needs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.336-344
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• 2021

The purpose of this study was to identify the self-awareness of smartphone dependence among undergraduate students and their response to the same. The data was drawn from a survey on smartphone overdependence conducted by the Ministry of Science and information and communications technology (ICT) and the National Information Society Agency in 2017. The responses of 1,735 undergraduate students were analyzed by frequency, percentage, mean, standard deviation, minimum-maximum value, ��2-test, independent t-test, Pearson's correlation coefficient, and stepwise multiple regression analysis. The results indicated that 22.3% of participants were at risk of smartphone dependence, and 63.6% of them were unaware of their dependence on smartphones. The perception of smartphone dependence was significantly associated with a higher risk of smartphone dependence (��=.35, p=.000) and the increasing use of applications such as games (��=.19, p=.000), television/video (��=.11, p=.000), and learning (��=.11, p=.000). Of the participants with dependence awareness, only a few knew about the existence of centers to prevent smartphone and internet dependence. Moreover, they rarely utilized these centers. However, the participants felt the need for more counseling agencies (26.8%), programs for dealing with oneself (23.2%), information about smartphone dependence (14.9%), and help to overcome dependence (10.9%). These findings show the need to establish public services so that students can easily access correct information on smartphone dependence and address this problem.

• Smart Media Journal
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• v.9 no.4
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• pp.26-35
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• 2020

Attempts to predict future stock prices have been studied steadily since the past. However, unlike general time-series data, financial time-series data has various obstacles to making predictions such as non-stationarity, long-term dependence, and non-linearity. In addition, variables of a wide range of data have limitations in the selection by humans, and the model should be able to automatically extract variables well. In this paper, we propose a 'sliding time step normalization' method that can normalize non-stationary data and LSTM autoencoder to compress variables from all variables. and 'moving transfer learning', which divides periods and performs transfer learning. In addition, the experiment shows that the performance is superior when using as many variables as possible through the neural network rather than using only 100 major financial variables and by using 'sliding time step normalization' to normalize the non-stationarity of data in all sections, it is shown to be effective in improving performance. 'moving transfer learning' shows that it is effective in improving the performance in long test intervals by evaluating the performance of the model and performing transfer learning in the test interval for each step.

• Progress in Medical Physics
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• v.18 no.2
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• pp.98-106
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• 2007

In June 2005, Yonsei University Medical Center, Severance Hospital upgraded a full-PACS system by adding twenty (5 mega pixels) Totoku ME511L flat panel LCD display devices for diagnostic interpretation purposes. Here we report upon the quantitative (or visual) acceptance testing of the twenty Totoku ME511L display devices for reflection, luminance response, luminance spatial dependency, resolution, noise, veiling glare, and display chromaticity based on AAPM TG 18 report. The tools used in the tests included a telescopic photometer, which was used as a colorimeter, illuminance meter, light sources for reflection assessment, light-blocking devices, and digital TG18 test patterns. For selected 8 flat panel displays, mean diffuse reflection coefficient ($R_d$) was $0.019{\pm}0.02sr^{-1}$. In the luminance response test, luminance ratio (LR), maximum luminance difference ($L_{max}$), and deviation of contrast response were $550{\pm}100,\;2.0{\pm}1.9%\;and\;5.8{\pm}1.8%$, respectively. In the luminance uniformity test, maximum luminance deviation was $14.3{\pm}5.5%$ for the 10% luminance of the TG18-UNL10 test pattern. In the resolution test with luminance measurement method, percent luminance (${\Dalta}L$) at the center was $0.94{\pm}0.64%$. In all cases of noise testing, rectangular target In every square in the three quadrants was visible and all 15 targets except the smallest one in the every corner pattern and the center pattern. The glare ratio (GR) was $12,346{\pm}1,995$. The color uniformity, (u',v'), was $0.0025{\pm}0.0008$. Also, the research results of qualify control guideline of primary disply devices suitable for domestic circumstance are presented All test results are in-line with the criteria recommended by AAPM TG18 report and are thus fully acceptable for diagnostic image interpretation. As a result, the acceptance testing schedule described provides not only an acceptance standard but also guidelines for quality control, optimized viewing conditions, and a means for determining the upgrading time of LCD display devices for diagnostic interpretation.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.119-142
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• 2015

With the explosive growth in the volume of information, Internet users are experiencing considerable difficulties in obtaining necessary information online. Against this backdrop, ever-greater importance is being placed on a recommender system that provides information catered to user preferences and tastes in an attempt to address issues associated with information overload. To this end, a number of techniques have been proposed, including content-based filtering (CBF), demographic filtering (DF) and collaborative filtering (CF). Among them, CBF and DF require external information and thus cannot be applied to a variety of domains. CF, on the other hand, is widely used since it is relatively free from the domain constraint. The CF technique is broadly classified into memory-based CF, model-based CF and hybrid CF. Model-based CF addresses the drawbacks of CF by considering the Bayesian model, clustering model or dependency network model. This filtering technique not only improves the sparsity and scalability issues but also boosts predictive performance. However, it involves expensive model-building and results in a tradeoff between performance and scalability. Such tradeoff is attributed to reduced coverage, which is a type of sparsity issues. In addition, expensive model-building may lead to performance instability since changes in the domain environment cannot be immediately incorporated into the model due to high costs involved. Cumulative changes in the domain environment that have failed to be reflected eventually undermine system performance. This study incorporates the Markov model of transition probabilities and the concept of fuzzy clustering with CBCF to propose predictive clustering-based CF (PCCF) that solves the issues of reduced coverage and of unstable performance. The method improves performance instability by tracking the changes in user preferences and bridging the gap between the static model and dynamic users. Furthermore, the issue of reduced coverage also improves by expanding the coverage based on transition probabilities and clustering probabilities. The proposed method consists of four processes. First, user preferences are normalized in preference clustering. Second, changes in user preferences are detected from review score entries during preference transition detection. Third, user propensities are normalized using patterns of changes (propensities) in user preferences in propensity clustering. Lastly, the preference prediction model is developed to predict user preferences for items during preference prediction. The proposed method has been validated by testing the robustness of performance instability and scalability-performance tradeoff. The initial test compared and analyzed the performance of individual recommender systems each enabled by IBCF, CBCF, ICFEC and PCCF under an environment where data sparsity had been minimized. The following test adjusted the optimal number of clusters in CBCF, ICFEC and PCCF for a comparative analysis of subsequent changes in the system performance. The test results revealed that the suggested method produced insignificant improvement in performance in comparison with the existing techniques. In addition, it failed to achieve significant improvement in the standard deviation that indicates the degree of data fluctuation. Notwithstanding, it resulted in marked improvement over the existing techniques in terms of range that indicates the level of performance fluctuation. The level of performance fluctuation before and after the model generation improved by 51.31% in the initial test. Then in the following test, there has been 36.05% improvement in the level of performance fluctuation driven by the changes in the number of clusters. This signifies that the proposed method, despite the slight performance improvement, clearly offers better performance stability compared to the existing techniques. Further research on this study will be directed toward enhancing the recommendation performance that failed to demonstrate significant improvement over the existing techniques. The future research will consider the introduction of a high-dimensional parameter-free clustering algorithm or deep learning-based model in order to improve performance in recommendations.

• Radiation Oncology Journal
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• v.21 no.4
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• pp.315-321
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• 2003

Purpose: This study was peformed to Investigate apoptosis by radiation In the developing fetal rat brain. Materials and Methods: Fetal blains were Irradiated In utero between the 17th and 19th days of fetal life (El7-19) by linear accelerator. A dose of Irradiation ranging from 1 Gy to 4 Gy was used to evaluate dose dependency. To test time dependency the ra)s were Irradiated with 2 Gy and then the fetal brain specimens were removed at variable 41me course; 1, 3, 5, 12 and 24 hours after the onset of irradiation. Immunohistochemlcal staining using in situ 707-mediated dUTP nick end labelling (TUNEL) technlfue was used for apoptotic cells. The cerebral cortex, including three zones on coriicai zone (Cf). Intermediate zone (if), and ventricular zone (VZ), was examined. Results : TUNEL positive cells revealed typical features of apoptotic cells under light microscope In the fetal rat cerebral cortex. Apoptotic cells were not found In the cerebral cortex of non-Irradiated fetal rats, but did appear In the entire cerebral cortex after 1 Gy Irradiation, and were more expensive at the ventricular and Intermediate zones than at the cortical zone. The extent of apoptosis was Increased with Increasing doses of radiation. Apoptosis reached the peak at S hours after the onset of 2 Gy Irradiation and persisted until 24 hours. Conclusion: Typical morphological features of apoplosis by irradiation were observed In the developing fetal rat cerebral cortex. It was more extensive at the ventricular and Intermediate zones than at the cortical zone, which suggested that stem cells or early differentiated cells are more radiosensitive than differentiated cells of the cortical zone.

• Journal of the Korea Concrete Institute
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• v.26 no.1
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• pp.71-78
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• 2014

The long term integrity of concrete cask is very important for spent nuclear fuel dry storage system. However, there are serious concerns about early deterioration of concrete cask from creaking and corrosion of reinforcing steel by chloride ion because the cask is usually located in seaside, expecially by combined deterioration such as chloride ion and heat, carbonation. This study is to investigate the relation between temperature and chloride ion diffusion of concrete. Immersion tests using 3.5% NaCl solution that were controlled in four level of temperature, i.e. 20, 40, 65, and $90^{\circ}C$, were conducted for four months. The chloride ion diffusion coefficient of concrete was predicted based on the results of profiles of Cl- ion concentration with the depth direction of concrete specimens using the method of potentiometric titration by $AgNO_3$. Test results indicate that the diffusion coefficient of chloride ion increases remarkably with increasing temperature, and there was a linear relation between the natural logarithm values of the diffusion coefficients and the reciprocal of the temperature from the Arrhenius plots. Activation energy of concrete in this study was about 46.6 (W/C = 40%), 41.7 (W/C = 50%), 30.7 (W/C = 60%) kJ/mol under a temperature of up to $90^{\circ}C$, and concrete with lower water-cement ratio has a tendency towards having higher temperature dependency.

• Korean journal of communication and information
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• v.62
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• pp.244-263
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• 2013

There have been enormous social impacts on many areas, including science journalism, since the so-called "Hwang Woo Suk" incident. Although wide demand for better science journalism has been aroused since then, but it is hard to find an evidence to prove we have reached the point. This study examines how major Korean newspapers report Unidentified Flying Objects in order to test if the level of science journalism had been elevated. As results, still it is a long road ahead to achieve the goals because most reports were taken from the international news agents or from the witnesses rather than scientific researches and analyses; terminologies used in the stories were ambiguous; follow-up stories were rare, the sources were usually pseudo-scientific, wanton errors in basic facts and coherence, and other problems were found. It could be suggested that the dependency on supplied news to be reduced, journalists who understand both science and journalism are required, inner regulations on science reporting to be established, correct quotations and fact-checks to be accomplished, fairness to be maintained within the boundary of normal science.