Purposes: The objective of this study was to develop a management program for Korean elementary school students suffering from asthma, which would be based on the Australian Asthma-Friendly Schools (AFS) program. Methods: On the basis of the AFS program, we designed a 6-month pilot project for asthmatic students in two elementary schools in a rural area and one elementary school in an urban area of Korea. The pilot project consisted of the following processes: identifying students with asthma in a school, educating school staffs and the parents of an asthmatic child, registering those with asthma, and installing emergency kits for asthma attacks in school health rooms. In order to evaluate these processes, group discussions were held between project team members and school staffs in each area. In addition, we conducted a postal survey of 144 households having an asthmatic child. Results: The screening process adopted in this program resulted in the early diagnosis in asthma; however, it needs to be evaluated economically due to expensive diagnostic test for asthma. For the school nurses, asthma lessons were evaluated as being very helpful for their tasks, while teachers tended to take less interest in the program with only 45% of all teachers attending these lessons. Almost all participating parents reported that such lessons would be beneficial for the care of their child, even though only 24.2% of the survey respondents (122 households) attended the lessons. Installing emergency kits in school health rooms was regarded as a key feature of this project. The introduction of a register card containing more specific health records of asthmatic students was considered necessary to replace the existing list of students with asthma. Conclusion: This study has merit in that a Korean asthma-friendly schools program was developed for the first time, despite the many obstacles to such programs becoming more common.
The consumer perception on health and food habit, the experience of health food use and the discrimination between health food and drug of Korean consumer were surveyed by using a questionnaire containing 15 items in order to obtain the basic data for the assessment of the benefit and risk of health foods in Korea. A total of 1,000 people over 20 years of age living in Seoul and the vicinities were interviewed and asked to fill out the questionnaire during the period from the October 1995 to the February 1996. Among the 882 answers collected, 23 was incomplete data, and 859 answers were used for the statistical analysis by using SAS program. The perception of Korean consumer on health and food habit indicated that food habit was considered the most important factor for the maintenance of health, as appeared in 39.8% of the subjects, among which 93.9 % believed that food habit could cause disease, and 97.1% believed that disease could be cured by changing food habit. The most worried disease was cancer (30.6%), degenerative diseases (14.1%), diseases by accident (12.6%) and obesity (10.0%). The disease which likely to be caused by food habit was diabetes (35.6%), obesity (22.4%), high blood pressure (12.8%), constipation (12.7%) and cancer (7.9%). The disease which was believed to be cured by changing food habit was diabetes (40.1%), obesity (25.9%), constipation (16.5%), high blood pressure (7.4%) and cancer (3.3%). It appeared that the people had a perception that food habit was highly related with diabetes and obesity, but less with cancer which was mostly worried.
Purpose: The purpose of this study was to provide the basic information on the improvement plan by identifying the role accomplishment and job satisfaction of the hospice nurses and analyzing the factors that impact such role accomplishment and job satisfaction. Methods: The data was collected of 189 hospice nurses who have been working more than 6 months in 56 hospice programs registered in Korea Hospice Association and Korean Catholic Hospice Association from October to November, 2007 by structured questionnaire which was developed by Ryu(1979), based on the Riehl's nursing role and the research of Choe(2005) on the role of hospice nurse. Results: The role accomplishment and job satisfaction of the study subject were 3.53 point and 3.39 point, respectively. The roles of hospice nurses were accomplished by the order of advocator, nursing care provider, coordinator (cooperation), educator, quality manager, counsellor, administrator, and researcher. The job satisfaction of the hospice nurses was shown highest in the satisfaction of professional status, followed by the satisfaction of the interaction, satisfaction of the task itself, satisfaction of the administrative aspect, satisfaction of the autonomous, and the lowest in the satisfaction of the pay. The role accomplishment of the subjects according to their socio-demographic and job characteristics was found to have a significant difference by their age, marriage status, academic background, and position. It also has a significant difference by whether they play role of coordinator, whether they took whole responsibility as hospice, working experience as hospice/palliative nurse, and the level of hospice/palliative nursing training(p<.05). In the study of job satisfaction of the subjects according to their socio-demographic and job characteristics, the job satisfaction was found to have a significant difference by the increase of age, the number of duties consisting the hospice team, whether they play role of coordinator, whether they take whole responsibility as hospice, the level of hospice/palliative nursing training, and whether they wish to work for as long as possible(p<.05). The role accomplishment and the job satisfaction of the subjects showed a statistically significant positive correlation. (r=.541, p<.01) Conclusion: Raised saiary will be increased hospice nurse's job satisfaction. And we suggest a repetitive study using the identical tool to the equally extracted subjects with same representativeness of each hospice/palliative institute type. For the expanded role and enhanced professional standard of hospice nurses, we also suggest a study on the improvement plan to enhance the roles of researcher and administrator.
This study focuses on the fact that students and teachers commonly have difficulty in 'selecting the topic' in many activities including student-led research that is conducted from topic selection to the drawing of conclusion. The purpose of this study is to develop a manual for science teaching research. The instructional manuals of 4 stages were developed based on practical knowledge that can be implemented in the actual class through previous research and literature. Each stage is composed of , , , and . In the third stage, students are expected to find scientific questions and develop them into research topics through detailed class research on newspaper articles, scientific magazines, traditional knowledge, proverbs, daily life, and textbook experiments. In the experimental group, the final research topic was selected through a variety of sources such as textbook experiments, proverbs, YouTube images, newspaper articles, individual WHY NOTEs, and understood the conditions of the scientific research topic and expressed the variables in the research title. However, in the control group, some students did not consider the research scope of the selected research subjects to be specific or not to be able to study at their level. As a result of giving the students as much autonomy as possible, many groups did not fully understand the previous research and submitted it. Based on the results of this study, it can be concluded that development and use of a 'topic selection stage' centered practice manual for general high school teachers would not only improve the students' abilities to discover solutions to scientific questions, but it will also help shift their attitudes towards science in a positive direction.
The object of the present study was to examine the effect of selenium-treated Spinacia oleracea L. on antioxidative defense system and oxidative damage in rats fed high-fat and high-cholesterol diets. Experimental rats were divided into six groups which were composed of normal diet group (N), high-fat and high-cholesterol diet group (HF), high-fat and high-cholesterol diet with 5% or 10% non-treated spinach supplemented group (SPA or SPB) and high-fat and high-cholesterol diet with 5% or 10% selenium-treated spinach-supplemented group (SSA or SSB). In the antioxidant enzyme activities of hepatic glutathione peroxidase and superoxide dismutase, activities increased in supplementation of non-treated or selenium-treated spinach groups compared to HF group. However, there was no significant difference in the activity of hepatic catalase among all experimental groups. The microsomal superoxide radical content of the SSB group was significantly reduced compared to the HF group. The mitochondrial carbonyl values of the SSB group were significantly reduced compared to the HF group. Thiobarbituric acid reaction substance (TBARS) values in RBC and liver were also reduced in non-treated or selenium-treated spinach-supplemented groups compared to the HF group. The hepatic TBARS values of the supplementation of selenium-treated spinach groups significantly decreased compared to the supplementation of non-treated spinach groups. These results suggest that selenium-treated spinach may reduce oxidative damage by the activation of antioxidative defense system in rats fed high-fat and high-cholesterol diets.
Journal of Korean Tunnelling and Underground Space Association
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v.25
no.6
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pp.423-446
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2023
Shield TBM tunnel linings are segmented into segments and rings. This study investigates the response characteristics of the stress and displacement of the segment lining under seismic waves through modeling that considers the interface behavior between segments by applying a shell interface element to the contact surface between segments and rings. And there is no management criteria for ovaling deformation of segment linings in Korea. So, this study the ovality criteria and meaning of segment lining. The results of study showed that the distribution patterns of stress and displacement under seismic waves were similar between continuous linings and segment linings. However, the maximum values of stress and displacement showed differences from segment linings. The stress distribution of the continuous lining modeled as a shell type has a stress distribution that has continuity in the 3D cylindrical shape, but the segment lining is concentrated outside the segment, and the largest stress occurs at the location where the contact surface between the segment and the ring is concentrated. This intermittent and localized stress distribution shows an increasing as the ovality of the lining increases at seismic waves. The ovality at which the increase in stress distribution begins to show irregularity and localization is about 150‰. Ovality of 150‰ is an unrealistic value that cannot represent actual lining deformation. Therefore, the ovality of the segment lining increase with depth, but it does not have a significant impact on the stability caused by seismic load.
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.
Internet commerce has been growing at a rapid pace for the last decade. Many firms try to reach wider consumer markets by adding the Internet channel to the existing traditional channels. Despite the various benefits of the Internet channel, a significant number of firms failed in managing the new type of channel. Previous studies could not cleary explain these conflicting results associated with the Internet channel. One of the major reasons is most of the previous studies conducted analyses under a specific market condition and claimed that as the impact of Internet channel introduction. Therefore, their results are strongly influenced by the specific market settings. However, firms face various market conditions in the real worlddensity and disutility of using the Internet. The purpose of this study is to investigate the impact of various market environments on a firm's optimal channel strategy by employing a flexible game theory model. We capture various market conditions with consumer density and disutility of using the Internet.
shows the channel structures analyzed in this study. Before the Internet channel is introduced, a monopoly manufacturer sells its products through an independent physical store. From this structure, the manufacturer could introduce its own Internet channel (MI). The independent physical store could also introduce its own Internet channel and coordinate it with the existing physical store (RI). An independent Internet retailer such as Amazon could enter this market (II). In this case, two types of independent retailers compete with each other. In this model, consumers are uniformly distributed on the two dimensional space. Consumer heterogeneity is captured by a consumer's geographical location (ci) and his disutility of using the Internet channel (${\delta}_{N_i}$).
shows various market conditions captured by the two consumer heterogeneities.
(a) illustrates a market with symmetric consumer distributions. The model captures explicitly the asymmetric distributions of consumer disutility in a market as well. In a market like that is represented in
(c), the average consumer disutility of using an Internet store is relatively smaller than that of using a physical store. For example, this case represents the market in which 1) the product is suitable for Internet transactions (e.g., books) or 2) the level of E-Commerce readiness is high such as in Denmark or Finland. On the other hand, the average consumer disutility when using an Internet store is relatively greater than that of using a physical store in a market like (b). Countries like Ukraine and Bulgaria, or the market for "experience goods" such as shoes, could be examples of this market condition.
summarizes the various scenarios of consumer distributions analyzed in this study. The range for disutility of using the Internet (${\delta}_{N_i}$) is held constant, while the range of consumer distribution (${\chi}_i$) varies from -25 to 25, from -50 to 50, from -100 to 100, from -150 to 150, and from -200 to 200.
summarizes the analysis results. As the average travel cost in a market decreases while the average disutility of Internet use remains the same, average retail price, total quantity sold, physical store profit, monopoly manufacturer profit, and thus, total channel profit increase. On the other hand, the quantity sold through the Internet and the profit of the Internet store decrease with a decreasing average travel cost relative to the average disutility of Internet use. We find that a channel that has an advantage over the other kind of channel serves a larger portion of the market. In a market with a high average travel cost, in which the Internet store has a relative advantage over the physical store, for example, the Internet store becomes a mass-retailer serving a larger portion of the market. This result implies that the Internet becomes a more significant distribution channel in those markets characterized by greater geographical dispersion of buyers, or as consumers become more proficient in Internet usage. The results indicate that the degree of price discrimination also varies depending on the distribution of consumer disutility in a market. The manufacturer in a market in which the average travel cost is higher than the average disutility of using the Internet has a stronger incentive for price discrimination than the manufacturer in a market where the average travel cost is relatively lower. We also find that the manufacturer has a stronger incentive to maintain a high price level when the average travel cost in a market is relatively low. Additionally, the retail competition effect due to Internet channel introduction strengthens as average travel cost in a market decreases. This result indicates that a manufacturer's channel power relative to that of the independent physical retailer becomes stronger with a decreasing average travel cost. This implication is counter-intuitive, because it is widely believed that the negative impact of Internet channel introduction on a competing physical retailer is more significant in a market like Russia, where consumers are more geographically dispersed, than in a market like Hong Kong, that has a condensed geographic distribution of consumers.