• Journal of agricultural medicine and community health
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• v.39 no.1
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• pp.1-13
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• 2014

Objective: The objectives were to estimate the rate of the injury in the elderly over the past year and to identify factors related to injury in the elderly in South Korea. Method: Using data from the 2008 Community Health Survey, 43,049 elderly persons, aged 65 years and older, were selected as study subjects. Their experience of injury during the past year and other variables, including socio-demographic factors, health-related factors, and diagnosed chronic diseases, were used. The chi-squared test and multiple logistic regression analysis with weighted analysis were conducted and statistical significance was set at p<0.05. Result: The rate of injury in the elderly during the past year was 5.1%. The most common types of the injury were falling/slipping down and traffic accidents. Factors related to injury in the elderly were living alone, current drinking, depression, poor self-rated health, stroke, and osteoporosis. Living alone (odds ratio 1.23, 95% CI: 1.05-1.45), current drinkers (OR 1.19, 95% CI: 1.05-1.35), poor self-rated health (OR 1.72, 95% CI: 1.43-2.08), depression (OR 1.23, 95% CI: 1.17-1.68), and history of stroke (OR 1.40, 95% CI: 1.17-1.68), and history of osteoporosis (OR 1.45, 95% CI: 1.26-1.66) were related to an increased risk of injury. Conclusions: Intervention programs that consider the risk factors related to injury should be developed and implemented to decrease and prevent injuries in the elderly.

• Korean Journal of Biological Psychiatry
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• v.21 no.3
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• pp.99-106
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• 2014

Objectives Previous studies suggest that the cannabinoid receptor 1 (CNR1) gene could be an important candidate gene for schizophrenia. According to linkage studies, this gene is located on chromosome 6q14-q15, which is known to harbor the schizophrenia susceptibility locus (locus 5, SCZ5, OMIM 803175). The pharmacological agent delta-9-tetrahydrocannabinol (${\Delta}$-9-THC) seems to elicit the symptoms of schizophrenia. The association between CNR1 polymorphisms and schizophrenia is actively being investigated, and some studies have linked the AAT-trinucleotide repeats in CNR1 to the onset of schizophrenia. In this study, we have investigated the association between the AAT-trinucleotide repeats in CNR1 and schizophrenia by studying schizophrenia patients and healthy individuals from Korea. Methods DNA was extracted from the blood samples of 394 control subjects and 337 patients diagnosed with schizophrenia (as per the Diagnostic and Statistical Manual of Mental Disorders, fourth edition criteria). After polymerase chain reaction amplification, a logistic regression analysis, with age and gender as the covariates, was performed to study the variations in the AAT-repeat polymorphisms between the two groups. Results In total, 8 types of trinucleotide repeats were identified, each containing 7, 8, 10, 11, 12, 13, 14, and 15 repeats, respectively. $(AAT)_{13}$ allele was most frequently observed, with a frequency of 33.6% and 31.6% in the patient and control groups, respectively. The frequency of the other repeat alleles in the patient group (in the decreasing order) was as follows : $(AAT)_{13}$ 33.6%, $(AAT)_{14}$ 21.6%, $(AAT)_{12}$ 18.5%, and $(AAT)_{7}$ 11.1%. The frequency of the repeat alleles in the control group (in the decreasing order) was as follows : $(AAT)_{13}$ 31.6%, $(AAT)_{14}$ 24.5%, $(AAT)_{12}$ 17.2%, and $(AAT)_{7}$ 11.6%. However, there were no significant differences in the AAT-repeat polymorphisms of the CNR1 gene between the patient group and the control group. Conclusions Although our study revealed no significant association of the AAT-repeat polymorphism of the CNR1 gene with schizophrenia, it will serve as a good reference for future studies designed to examine the cannabinoid hypothesis of schizophrenia.

• Journal of the Korean Institute of Landscape Architecture
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• v.28 no.4
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• pp.29-43
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• 2000

This study is carried out to investigate the cahracteristics of green management practices and green speed(i.e., ball-roll distance) on 129 Golf Courses in Korea, and to explain the effects of managemet practices that affect green speed. Data collected from green-keepers were subjected to frequency, correlation analysis, and multi-regression analysis using SPSSWIN(Statistical Package for the Social Science). The results are as follows. 1. In spring mowing height, 3.5-4 mm appeared the highest frequency(44.4%) and 4-4.5mm mowing height appeared the high frequency(41.0%). In summer mowing height, 4.5-5mm appeared the highest frequency(51.3%). In fall mowing height, 4-4.5mm appeared the highest frequency(41.0%). 2. In N-fertilizing amount of February and November, 0(zero) g/$m^2$ appeared the highest frequency. In N-fertilizing amount, of June and July 0-2 g/$m^2$ appeared the highest frequency. In N-fertilizing amount, of March, May, August, and September 2-4 g/$m^2$ appeared the highest frequency. In N-fertilizing amount, of October 2-4 or 6-8 g/$m^2$ appeared the highest frequency. 3. In spring topdressing times, 3-6 times appeared the highest frequency(52.6%). In spring topdressing amount, more than 2mm appeared the highest frequency(35.9%). In summer topdressing tierms, 0-3times appeared the highest frequency(71.8%). In summer topdressing amount, 0.5-1mm appeared the highest frequency(46.2%). In fall topdressing times, 0-3times appeared the highest frequency(47.4%). In fall topdressing amount, more than 2mm appeared the highest frequency(35.9%). 4. In spring irrigation tiems, 3-4times/a week appeared the highest frequency (30.6%). In spring irrigation amount, the irrigation below 5mm/day under appeared the highest frequency(38.7%). In summer irrigation times, 4-7times/ a week appeared the highest frequency(38.9%). In summer irrigation amount, 5-10mm/a day appeared the highest frequency(45.2%). In fall irrigation times, 2-3times/a week appeared the highest frequency(36.1%). In fall irrigation amount, the irrigation below 5mm/a day under appeared the highest frequency(45.2%). 5. In spring aeration times, 2 times appeared the highest frequency(55.2%). In spring aeration depth, 5-10mm appeared the highest frequency(81.6%). In fall aeration times, 1 time appeared the highest frequency(82.5%). In fall aeration depth, 5-10mm appeared the highest frequency(86.8%). 6. In spring green speed, 1.98-2.28 or 2.59-2.89mm appeared the highest frequency(32.7%). In summer green speed, 1.98-2.28mm appeared the highest frequency (46.9%). In fall green speed, 1.98-2.28mm appeared the highest frequency(38.8%). 7. The factors which affect green speed were mowing height, N-fertilizing, season, topdressing, irrigation, and aeration. Vertical mowing did not affect green speed. The order of the relevant important factors was mowing height >: N-fertilizing > season > topdressing > irrigation > aeration. Mowing height and N-fertilizing were the most important factors in green speed. As mowing height decreased, green sped always increased. As total N-fertilizing amount decreased, green speed increased. In summer, green sped decreased remarkably. As topdressing times increased and the topdressing amount decreased, green sped increased. As irrigation times increased and irrigation amount decreased, green speed increased.

• The Korean Journal of Nuclear Medicine Technology
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• v.15 no.1
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• pp.117-120
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• 2011

Purpose: There are 3 warnings for Glucagon tests. First, EDTA tubes that already contain Aprotinin must be used for plasma collection. Second, for freezer storage of centrifuged plasma, glass tubes must be used. Last, glass tubes must be used for testing procedure. So we compared the glucagon results of next 3 situation to those of control group. First, We compared to results by tubes without Aprotinin and with aprotinin. Second, we compared to results by tubes(plastic vs glass) for plasma storage. Third, we compared to results by tubes(plastic vs glass) for testing. We tried to evaluate the results of the 3 different condition. Materials and Methods: 40 healthy adults were studied with normal results on the general medical check up and laboratory tests. We compared the results of 3 different condition belows: Blood were collected in EDTA tube containing aprotinin and plasma was stored in the glass tube for 3 days in a freezer and results were obtained by tests in the glass tubes. Results from EDTA plasma without aprotinin, results from platic tubes for freezer stroage, results from plastic tube when testing. Simple linear regression analysis and paired t-test using SPSS were done for statistical analysis. Commercial glucagon kit(RIA-method)which made by Siemens company were used. Results: Correlation coefficient between results of EDTA tubes with Aprotinin vs without Aprotinin was r=0.783 (p=0.064). Result of specimen in plastic tubes stored 3 days in a freezer showed lower value compared to those in glass tube(r=0.979, p=0.005). Also, results of testing in plastic tubes showed lower values than those testing in glass tubes. (r=0.754, p<0.001). Conclusion: It is recommended for glucagon determination to use EDTA tube with Aprotinin which is a inhibitor of protein breakdown enzyme. Results of plastic tube when storage and testing showed lower value than those of glass tubes, so it is recommended to store and test in glass tubes.

• Journal of the korean academy of Pediatric Dentistry
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• v.32 no.2
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• pp.370-376
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• 2005

In children, dental anxiety of dental treatment has been recognized as a source of problems in patient man agement for many years. Dental anxiety can be causes of negative cooperation, cancel and avoid of dental treatment. Therefore, dentist and dental team should recognize of child's dental anxiety as early as possible and manage appropriately. In previous studies, it is reported that parental dental anxiety affect dental anxiety and cooperation of their child. And it is parental decision which results in a child's visit to the dentist, rather than a child's decision in most cases. Therefore, it is important to identify the relationship of dental anxiety between child and parent. We estimated child's dental anxiety before dental treatment using Venham Picture Scale that is useful even a very young child and parental dental anxiety using Corah's dental anxiety scale. Then, two values above were compared. Child's cooperation, temperament, sex, age, parental education were estimated and compared with dental anxiety, too. The results were as follows: 1. There are positive relationship of dental anxiety between child and parent with the correlation analysis(P<0.02). 2. There are negative relationship of child's dental anxiety and child's cooperation with the correlation and regression analysis(P<0.001). 3. Low anxiety group has lower mean value of four temperament item with the Student's t-test. But, there is no statistical differences(P>0.1). 4. Girl and younger group have higher mean value of dental anxiety than boy and older group with the Student's t-test(P<0.001). 5. Low educated parents have higher mean value of dental anxiety than high educated parents with the Student's t-test(P>0.1).

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.177-192
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• 2016

Machine learning is a field of artificial intelligence. It refers to an area of computer science related to providing machines the ability to perform their own data analysis, decision making and forecasting. For example, one of the representative machine learning models is artificial neural network, which is a statistical learning algorithm inspired by the neural network structure of biology. In addition, there are other machine learning models such as decision tree model, naive bayes model and SVM(support vector machine) model. Among the machine learning models, we use SVM model in this study because it is mainly used for classification and regression analysis that fits well to our study. The core principle of SVM is to find a reasonable hyperplane that distinguishes different group in the data space. Given information about the data in any two groups, the SVM model judges to which group the new data belongs based on the hyperplane obtained from the given data set. Thus, the more the amount of meaningful data, the better the machine learning ability. In recent years, many financial experts have focused on machine learning, seeing the possibility of combining with machine learning and the financial field where vast amounts of financial data exist. Machine learning techniques have been proved to be powerful in describing the non-stationary and chaotic stock price dynamics. A lot of researches have been successfully conducted on forecasting of stock prices using machine learning algorithms. Recently, financial companies have begun to provide Robo-Advisor service, a compound word of Robot and Advisor, which can perform various financial tasks through advanced algorithms using rapidly changing huge amount of data. Robo-Adviser's main task is to advise the investors about the investor's personal investment propensity and to provide the service to manage the portfolio automatically. In this study, we propose a method of forecasting the Korean volatility index, VKOSPI, using the SVM model, which is one of the machine learning methods, and applying it to real option trading to increase the trading performance. VKOSPI is a measure of the future volatility of the KOSPI 200 index based on KOSPI 200 index option prices. VKOSPI is similar to the VIX index, which is based on S&P 500 option price in the United States. The Korea Exchange(KRX) calculates and announce the real-time VKOSPI index. VKOSPI is the same as the usual volatility and affects the option prices. The direction of VKOSPI and option prices show positive relation regardless of the option type (call and put options with various striking prices). If the volatility increases, all of the call and put option premium increases because the probability of the option's exercise possibility increases. The investor can know the rising value of the option price with respect to the volatility rising value in real time through Vega, a Black-Scholes's measurement index of an option's sensitivity to changes in the volatility. Therefore, accurate forecasting of VKOSPI movements is one of the important factors that can generate profit in option trading. In this study, we verified through real option data that the accurate forecast of VKOSPI is able to make a big profit in real option trading. To the best of our knowledge, there have been no studies on the idea of predicting the direction of VKOSPI based on machine learning and introducing the idea of applying it to actual option trading. In this study predicted daily VKOSPI changes through SVM model and then made intraday option strangle position, which gives profit as option prices reduce, only when VKOSPI is expected to decline during daytime. We analyzed the results and tested whether it is applicable to real option trading based on SVM's prediction. The results showed the prediction accuracy of VKOSPI was 57.83% on average, and the number of position entry times was 43.2 times, which is less than half of the benchmark (100 times). A small number of trading is an indicator of trading efficiency. In addition, the experiment proved that the trading performance was significantly higher than the benchmark.

• Journal of the Korean Institute of Landscape Architecture
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• v.38 no.1
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• pp.39-48
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• 2010

Recreation forests are in the spotlight as the place for personality development, mind and body comfort, companionship, and environment education in forests and valleys. Visitors to recreation forests have been on the increase along with booming in recreation forest building since 1988. Recreation forests are being categorized according to some features such as regional and environmental condition. Recreation forests, however, have not met the expectations of some visitors who want to take a rest with calmness due to the influence of the 5-day-work-week system, increasing interest in rest, leisure, and well-being, and users converge during weekends, summer, and the tourist season. In order to improve visitors' satisfaction efficiently, this study surveyed the level of satisfaction in each cluster based on the precedent study which had classified 85 national or public recreation forests in Korea into clusters. Questionnaires were distributed properly to each cluster and, of the 1,132 questionnaires collected, 1,015 were valid and used for analysis. Reliability of questionnaires and statistical validity of the model were verified. As a result, there are meaningful differences in the ranking of independent variables which affect the level of satisfaction according to clusters. Variables in rest and fatigue recovery have the strongest influence on the level of satisfaction in the clusters of potential factor, internal activation factor, and mixed potential capacity factor. In the use performance and visiting condition factor cluster, appropriateness of visit cost is most influential and, in the education cluster, connectivity with tourist attractions around it is most affective. These results can provide priority in services and maintenance of recreation forests for improving the level of satisfaction and differentiate the distribution of resources according to clusters.

• Journal of dental hygiene science
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• v.14 no.3
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• pp.311-318
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• 2014

The purpose of this study was to look into the perception, experience, treatment of early childhood caries (ECC) and influential factors of perception in order to provide basic data useful for preventing the ECC by examining the relationship between oral health of young children in infancy and mother. In this study, 277 mothers were surveyed who had children in children under 6 years old and visiting the pediatrics, day care center, and pediatric dental clinics located in Daegu and Gyeongsangbuk-do from July 10, 2013 to September 5 of the same year. The results obtained from the survey were analyzed through chi-square test, t-test, and binary logistic regression analysis by using the SPSS 18.0, a statistical program. The results of analysis showed that ECC in children under 6 years old was associated with mother's age, education background of mothers, number of children and monthly income and had a significant correlation with mother's oral health-related knowledge and oral health care of their children. Thus, it would be necessary to develop oral health education programs and implement such oral health education programs at a national level on a regular basis for the mothers of young children in infancy and would-be mothers in order to reduce the ECC in infancy and promote oral health.

• Women's Health Nursing
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• v.6 no.1
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• pp.142-152
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• 2000

This study is a descriptive study to offer an actual basic data as Nursing intervention strategy of nurses before delivery in order that pregnant women in Korea may effectively practice Taekyo by examining the relation after apprehending level of recognition and practice of our pregnant women about Taekyo. This study collected questionnaires from 801 pregnant women who visited general hospitals in 10 areas(Seoul, Daejon, chunan, Daegu, Kummi, $Ky{\check{o}}ngju$, $P{\ddot{o}}hang$, Busan, $J{\ddot{o}}nju$, and $Y{\ddot{o}}nkwang$) for prenatal care through an outpatient obstetrics and gynecology from July 15 to August 30, 1999. This study used the tool of lee, Ki Young(1993) revised an complemented by investigator to measure recognition of Taekyo and the tool of Jang, Shun Buk and Park, Young Ju(1996) revised and complemented by investigator to measure practice of Taekyo. The Cronbach's alpha value of each tool was .88 in recognition of Taekyo, while the value was .90 in practice of Taekyo. For data analysis, this study used the descriptive and statistical analysis, Pearson correlation, t-test, ANOVA, Tukey's post hoc contrast, and Stepwise multiple regression in accordance with the purpose of this study with using SPSS Win 7.5 program. The results were as follows ; 1. The practice of Taekyo was low in comparison with recognition of Teakyo by showing average 4.28 points and standard deviation 0.48 at level of recognition of pregnant women about Taekyo on the basis of 5 points and showing to show average 2.81 points and standard deviation 0.36 at practice level on the basis of 4 points. 2. They showed the higher level of recognition on Taekyo at high educational background of pregnant woman(F=3.735, p=.005), Roman catholicism (F=4.570, p=.002), satisfied married life(F=5.448, p=.004), high monthly income(F=6.096, p=.000) and cases of hoping pregnancy(F=2.525, p=.012). 3. They showed the higher level of practice on Taekyo at high educational background of pregnant woman(F=2.883, P=.022), Roman catholicism(F=3.616, p=.032), satisfied married life(F=19.924, p=.000), good health condition(F=2.386, p=.017), cases of hoping pregnancy(F=0.677, p=.000), cases of planning pregnancy with husband(F=3.024, p=.001), cases of regular prenatal care before delivery(F=0.241, p=.005), cases of maternal breast feeding (F=9.132, p=.000), and the number of less children(F=2.763, p=.041). 4. In result of examining correlation between recognition and practice of Taekyo, they showed high level of practice on Taekyo under high level of recognition of pregnant women on Taekyo by showing the statistically significant correlation. 5. In result of examining the related factors that affect recognition and practice of Taekyo y the object, practice of Taekyo had 16.8 percents of explanatory range, purpose of practicing Taekyo 8.5 percents of explanatory range, and monthly income 1.9 percent of explanatory range as variables of affecting recognition of Taekyo. The total explanatory range was 27.2 percents, Recognition of Taekyo had 16.1 percents of explanatory ragne, time of starting Taekyo 3.2 percents, health condition 2.2 percents of explanatory range, condition of hoping pregnancy 1.1 percent of explanatory range, satisfaction of married life 0.8 percent of explanatory range, and religion 0.6 percent of explanatory range as variables of affecting practice of Taekyo. The total explanatory range was 24.0 percents.

• Journal of the International Relations & Interdisciplinary Education
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• v.3 no.1
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• pp.51-75
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• 2023

Relying on disciplinary competitions to enhance college students' innovation and entrepreneurship is one of the specific paths to explore the reform of innovation and entrepreneurship education in colleges and universities. This paper conducts an empirical study on the practice of disciplinary competitions among Chinese university students, the problems of innovation and entrepreneurship education in Chinese universities and the impact of disciplinary competitions on innovation and entrepreneurship among Chinese university students, using university students in Chinese universities as the respondents. The data collected online and offline were analysed using SPSS26 statistical software. The results of the analysis show that Chinese university students show a high level of interest in innovation and entrepreneurship competitions and that there are some differences in the level of interest in innovation and entrepreneurship competitions among university students of different academic levels. More than half of Chinese university students have participated in innovation and entrepreneurship competitions and the initiative of participating in innovation and entrepreneurship competitions varies by grade. The biggest problem facing innovation and entrepreneurship education in schools is the lack of professional innovation and entrepreneurship teachers, followed by the lack of guidance on innovation and entrepreneurship-related policies, and the unreasonable reward system, which makes teachers and students less motivated to innovate and entrepreneurship. Through one-dimensional linear regression analysis, it is found that the degree of attention to innovation and entrepreneurship among college students affects college students' entrepreneurial awareness and entrepreneurial practice; the degree of initiative of college students' innovation and entrepreneurship competition affects college students' entrepreneurial effect; and the degree of initiative of college students' innovation and entrepreneurship competition affects college students' entrepreneurial practice.