• 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.

• Journal of Hospice and Palliative Care
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• v.9 no.2
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• pp.106-111
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• 2006

Purpose: In terminal cancer patients, pain control with narcotic analgesics and supportive care by hospice are very useful treatment modality. However, many patients and their caregivers are poorly compliant in using narcotic analgesics for fear of addiction and tolerance. And also many patients and family caregivers are reluctant to accept hospice, presuming that hospice means patient's condition is no longer reversible and progressively deteriorating. The purpose of this study was to evaluate and analyze the perception of using narcotic analgesics and hospice by family caregivers of terminal cancer patients who play a critical role in health care in Korean culture. Methods: A total of 54 terminal ranter patient's family caregivers participated in this study. Questionnaire consisted of 15 questions about narcotic analgesics and hospice. Results: The study revealed following results. 1) family caregivers who are not aware of hospice are more than half (56.7%). 2) 81.8% of family caregivers agreed that hospice care is beneficial to terminal cancer patients. 3) 85.1% of family caregivers were under financial burden. 4) 83.2% of patient complained pain in 24 hours. 3) while 88.5% of family caregivers believed that narcotic analgesics can control pair, 79.1% and 79.6% of them also believed that use of narcotic analgesics would result in addiction and tolerance, respectively. Conclusion: There still exist barriers to family caregivers in using narcotic analgesics for pain control. And also, terminal cancer patient's family caregivers have poor information about hospice. Therefore, educational intervention about narcotic analgesics by pharmacist and doctors are needed for proper pain control for terminal ranter patients. In addition, more precise information about hospice care should be provided for terminal cancer patients and their family caregivers.

• Journal of Animal Science and Technology
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• v.54 no.2
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• pp.95-101
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• 2012

The objective of this study was to examine the effect of amides as a cryoprotectant for semen cryopreservation in Korean Jeju Black Bull. The semen was cryopreserved with extenders containing 5% dimethyl acetamide (DMA), 5% dimethyl formamide (DMF), 5% methyl formamide (MF) or 7% glycerol. Post-thawed sperm were evaluated for sperm motility, viability, acrosome integrity and membrane integrity. Post-thawed sperm motility was significantly higher (p<0.05) in glycerol and DMF ($64.00%{\pm}9.62$ and $59.00%{\pm}5.48$, respectively) than DMA and MF ($50.00%{\pm}3.24$ and $44.00%{\pm}4.18$, respectively). Sperm viability wassignificantly higher (p<0.05) in glycerol and DMF ($58.25%{\pm}7.35$ and $53.05%{\pm}3.77$, respectively) than others. However, for sperm motility and viability, there were no differences among glycerol and DMF. Also, swelling sperm ratio by hypo-osmetic selling test (HOST) was significantly increased (p<0.05) in glycerol and DMF treatments ($45.12%{\pm}25.08$ and $44.95%{\pm}8.58$, respectively). The percentage of capacitated sperm assessed by CTC staining, F pattern was lower (p<0.05) in DMF than others. B pattern was increased (p<0.05) in DMA, DMF and MF when compared with glycerol. AR pattern ratio was decreased (p<0.05) in glycerol and DMF when compared with DMA and MF. These results suggested that amides performed better and could be used as a cryoprotectant for semen freezing of Korean Jeju Black Bull.

• Journal of The Korean Association For Science Education
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• v.40 no.5
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• pp.543-563
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• 2020

This study explores how the teaching practices of two teachers changed during scientific modeling classes. It also aims to understand these changes in terms of the teachers' modeling pedagogical content knowledge (PCK) development. The study participants were two elementary school teachers and their fifth-grade students. The teachers taught eight lessons of scientific modeling classes about the human body. The data analysis was conducted for lessons 1-2 and 7-8, which best showed the change in teaching practice. The two teachers' teaching practices were analyzed in terms of feedback frequency, feedback content, and the time allocated for each stage of model generation, evaluation, and modification. Teacher A led the evaluation and modification stages in a teacher-driven way throughout the classes. In terms of feedback, teacher A mainly used answer evaluation feedback in lesson 1-2; however, in lesson 7-8, the feedback content changed to thought-provoking feedback. Meanwhile, teacher B mostly led a teacher-driven model evaluation and modification in lesson 1-2; however, in lesson 7-8, she let her students lead the model evaluation and modification stages and helped them develop models through various feedbacks. The analysis shows that these teaching changes were related to the development of modeling PCK components. Furthermore, the two teachers' modeling PCK differed in teaching orientation, in understanding the modeling stages, and in recognizing the value of modeling, suggesting the importance of these in modeling teaching practice. This study can help improve the understanding of modeling classes by revealing the relationship between teaching practices and modeling PCK.

• Journal of dental hygiene science
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• v.5 no.2
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• pp.45-49
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• 2005

This study is designed to present basic materials necessary for offering the more effective way of dental hygienists, or those who are in charge of the education of Oral health, the treatment and prevention of dental problems, educating Oral health by stage by dint of determining the actual condition of the knowledge and management of dental hygiene, or prevention of the basic dental disease except the professional methods of dental management and evaluating their abilities to manage dental hygienes. In terms of the real conditions of the management of dental hygienes, the majority of the subjects said, "not bad" or "healthy". Most of them (62.1%) said that they brush their teeth three times a day, and most of them (85.2%) depend on rolling methods. 69.2% of them used brushes that are neither hard nor soft, and 28.4% of them use soft brushes and 49.7% of them brush their teeth for about 3 minutes. In terms of brushing time, 27.8% of them brush their teeth after lunch, while 23.8% of them brush their teeth after breakfast. 66.3% of them use fluoric tooth pastes while 19.5 percent of them said, "I have no idea." and 14.2% of them said, "No." In terms of complementary dental hygiene goods, dental goggles are used by 23% of them, and dental threads are used by 78.1% and tooth brushes are used by 78.1% of them, and 42.4% of the subjects use the instruments one to twice a day, and 53.8% of them use them for less than one minute a time. In terms of dental health care, 17.2% of them have a chew of gum and 8.3% of them pay a regular visit to dental clinics and 5.3% of them don't smoke.

• Journal of Wetlands Research
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• v.22 no.1
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• pp.24-30
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• 2020

To assess the wetland systems' capability to reduce fine dust, we used an artificial wetland module of small-sized greenhouse (70cm W × 70cm L × 60cm H) which creates a closed system. Experiment was performed twice using four species in each experiment. Non-plantation, one species, or two species condition was created in each mesocosm. We measured air quality, primarily PM2.5 and PM10 at the initial open mesocosms and 1hr later since mesocosms were closed. The dry weight of vegetation was measured at the 2nd experiment. The decreased amount of PM2.5 and PM10 was 13.7±1.3 and 13.2±1.3 ㎍·m^-3hr^-1 in wetland condition and 15.0±1.4 and 13.8±1.5 ㎍·m^-3hr^-1 in dryland condition, respectively. In 2^nd experiment, the decreased amount of PM 2.5 and PM 10 in wetland condition was 13.7±1.3 and 9.2±1.5 ㎍·m^-3hr^-1, 15.0±1.4 and 8.8±1.4 ㎍·m^-3hr^-1 in dryland condition, respectively. Wetland showed higher removal effect due to its high productivity leading to more effective absorption of particulate matter. Furthermore, the aquatic characteristics of wetland system and high humidity helped purifying the air quality. This can be seen as another value of wetlands, which can be presented as one of the solutions to the problem of fine dust.

• Journal of Animal Environmental Science
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• v.6 no.3
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• pp.191-199
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• 2000

This study was initiated to investigate the influence of biophysical condition on the composting characteristics, and conducted to develop technology for using recycled compost as a bulking agent cost to reduce operating cost. To methods of aeration, continuous aeration (CA: run No. I) and intermittent aeration (IA: run No. 2) were performed with three 12.3 liter laboratory scale vessels for ten days. Manure and rice hulls were mixed for thirst trial (I), rice hulls and recycled compost after first trial were mixed for second trial (II), dairy manure and only recycled compost after second trial were mixed for third trial (III). During the composting process, temperatures of the compost mass and ammonia emissions were measured. The quality and maturity of compost were ascertained by examining the characteristics and composition of the compost. Also, loss of mass was determined by measuring the mass of materials in the vessels before and after composting. The results in this study are as follows: 1. The periods of optimum temperature ($>55^{\circ}C$) to kill pathogens were maintained from 38 to 78 hours for CA and from 60 to 98 hours for IA. 2. The more recycled compost mixed, the more ammonia emitted. The maximum ammonia emissions were 287 ppm at CA and 420 ppm at IA. 3. Biofiltration system was required for the compo sting system using only recycled compost as an amendment, because the ammonia emissions was produced above 100 ppm at the end of composting process. 4. The quality and maturity of compost: - Fresh compost, were required drying, because moisture contents of the compost were approximately 70% in all tests. - The pH values were observed to rise smoothly, from 7.9 to 8.3 at CA and from 8.4 to 8.6 at IA. The CfN ratios of the fresh compost were ranged form 21.05 to 16.42 for CA and from 22.81 to 14.75 for IA. The final C/N ratios for test II and III were below 20.were below 20.

• Journal of The Korean Association For Science Education
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• v.31 no.5
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• pp.788-800
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• 2011

The purpose of this study was to investigate the elementary school teachers' perception of science writing. In this study, 10 elementary school teachers who have taught in the 3rd or 4th grade science lesson in 2010 were selected. Researchers constructed interview guide in three parts including the teachers' understanding of science writing, the status of science writing teaching and the difficulties of science writing in their classes. For the investigation, semi-structured in-depth interviews with 10 elementary school teachers were conducted individually. The results showed that the elementary school teachers were unfamiliar with the word ‘science writing’ and considered science writing as a writing using science learning contents. Also, they think that teaching science writing in their science lessons was not needed and didn't assess and provide detailed feedback with the students' written works. Most teachers needed teaching materials and assessment tools for science writing. To develop elementary teachers' understanding of the value and use of writing for learning in science, they will need to participate in science writing programs for in-service teachers and various teaching materials and assessment tools should also be developed.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.4
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• pp.577-584
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• 2016

The objectives of this study were I) to compare the acid resistance (AR) of seven non-O157 Shiga toxin-producing Escherichia coli (STEC) serogroups, including O26, O45, O103, O111, O121, O145, and O157:H7 STEC isolated from various sources, in 400 mM acetic acid solution (AAS) at pH 3.2 and $30^{\circ}C$ for 25 min with or without glutamic acid and II) to determine strain survival upon exposure to simulated gastric fluid (SGF, pH 1.5) at $37^{\circ}C$ for 2 h after acid adaptation in apple, pineapple, orange, and strawberry juices at pH 3.8, $4^{\circ}C$ and $20^{\circ}C$. Results show that the O111 serogroup strains had the strongest AR (0.12 log reduction CFU/mL) which was very similar to that of O157:H7 STEC (P>0.05), compared to other serogroups in AAS without glutamic acid, whereas O26 serogroup strains showed the most sensitive AR. However, there was no significant (P>0.05) difference of AR among seven serogroups in AAS with glutamic acid. In the SGF study, 05-6545 (O45:H2), 08023 (O121:H19), and 03-4669 (O145:NM) strains adapted in fruit juices at $4^{\circ}C$ and $20^{\circ}C$ displayed enhanced survival with exposure to SGF for 60 min compared to 06E0218 (O157:H7) strains (P<0.05). In addition, 4 STEC strains adapted in pineapple juice at $4^{\circ}C$ showed enhanced survival with exposure to SGF for 60 min compared to those strains acid-adapted in the other fruit juices. Generally, adaptation at $4^{\circ}C$ in fruit juices resulted in significantly enhanced survival levels compared to acid-adapted at $20^{\circ}C$ and non-adapted conditions. The AR caused by adaptation in fruit juices at low temperature may thus increase survival of non-O157 STEC strain in acidic environments such as the gastrointestinal tract. These results suggest that more careful strategies should be provided to protect against risk of foodborne illness by non-O157 STEC.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.7
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• pp.852-861
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• 2009

This study was performed to assess the risk factors associated with hypertension from Jan/2003 to Feb/2003. The subjects were 1,296 people (496 males, 800 females) aged 40 years and over living in Andong rural area. The hypertensive group was composed of 602 people (272 males, 330 females), who were diagnosed as hypertension ($SBP{\geq}140\;mmHg$ or $DBP{\geq}90\;mmHg$) for the first time at this health examination. The mean anthropometric values of body weight, body fat (%), body mass index (BMI) and waist circumference were significantly higher in hypertensive group than those in normal group. However, the biochemical measurements such as total-cholesterol (TC), triglyceride (TG), HDL-C, LDL-C and fasting blood glucose (FBG) levels did not show any difference between two groups except TG in female. The risk factors of interest in the development of hypertension were analyzed using the multiple logistic regression and expressed as odds ratio (OR) and 95% confidential interval (CI). The results showed that age, sex, obesity, waist circumference, alcohol drinking and meat intakes were risk factors for hypertension. In contrast, cigarette smoking, exercise and the increased fish, fruit and vegetable (except Kimchi) consumption, blood lipid levels and FBG were not linked with the development of hypertension. Nutrient intakes were not associated with hypertension, either. In conclusion, we cannot assert that this study established the existence of the cause-and-effect relationship between nutrient intakes and risk of hypertension in the subjects, but it does suggest that this is a question worth investigating further using a larger scale of case-control study to determine how the past exposure to some nutrient or dietary component relates to the development of the disease.