• Journal of agricultural medicine and community health
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• v.30 no.2
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• pp.167-182
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• 2005

Objectives: This study was performed to investigate the prevalence of knee osteoarthritis according to the criteria of diagnosing knee osteoarthritis in rural women and the factors related with this disease. Methods: The data obtained from 200 women older than 40 years of age residing in 5 Ri's in Goryeong-gun. Gyeongsanbuk-do by random cluster sampling from September to October 2002. Knee osteoarthritis was determined positive according to the Kellgren and Lawrence classification and knee pain. Results: Among these subjects, 71.0% showed more than grade 2 in radiologic finding and the rate of knee pain according to the survey was 67.0%. The rate of subjects meeting the criteria of knee osteoarthritis was 54.0%. According to univariate analysis, the prevalence of knee osteoarthritis increased with age and those farming people and people working in household industry was significantly high at 58.9% compared with others. The prevalence of knee osteoarthritis showed a significant relationship with the family history and past history of knee injury and knee surgery(p<0.01), and diabetes mellitus(p<0.05). The score of ADL was significantly different in the subjects with knee osteoarthritis compared with normal group(p<0.05). When the presence of knee osteoarthritis and the period of the life style of seating down on the floor were compared, a significant difference was present between the osteoarthritis group and normal group. As for metabolic factors, the blood sugar level, bone density, and body mass index(BMI) were significantly different in the osteoarthritis group compared with normal group. When multiple logistic regression analysis was performed with the presence of knee osteoarthritis as the dependent variable, the prevalence of knee osteoarthritis was significantly affected by older age, subjects farming or working in household industry, the history of knee injury, the history of surgery, higher blood sugar level, and higher BMI. Conclusions: These subjects need an intervention through self-care programs such as exercise for preventing osteoarthritis, weight control programs, other exercise programs strengthening knee joints, and guidelines when working in vinyl houses.

• Journal of agricultural medicine and community health
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• v.30 no.2
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• pp.151-165
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• 2005

Objectives: This study was to examine those life style factors which could affect the changes of health status indices such as ADL and IADL of the Elderly living in rural community. Methods: The subjects of the study were 1,295 elderly people of age over 65 years living in Gyungbook Sung-Ju area selected by random sampling for one month at October 1996. After 4 years, the follow-up study in those subjects were performed, ADL, IADL and general characteristics were measured. Those subjects who had shown high functional health status in first investigation were measured as how their health were changed in relation with their general characteristics and life styles in second investigation. Results: The factor analysis were performed in life style questions, and 6 factors composed of 15 questions of all were selected as the indices of life style. For ADL level, logistic regression analysis, age and educational level in men, and age and economic status in women had significant relation with health status change. Among life style factors, diet factor in men and diet factor, social activity factor in women were found to be significantly related. For IADL level, simple analysis showed that age in men and age, education level in women among general characteristics had related with health status change. Among life style factors, diet factor, stress relieving factor were related in women when general characteristics were also controlled diet factor, stress relieving factor were related in women. Conclusions: In order to prevent functional health status altering in the elderly, it is recommended that the intervention which could promote healthy life styles such as good diet habit, active social participation, and pertinent stress relieving should be considered.

• Women's Health Nursing
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• v.7 no.1
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• pp.93-106
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• 2001

The purpose of this study is to provide the basic data in order to develop of some educational programs for increasing breast feeding by studying the female university student's knowledge and attitude on breast feeding, who will become a mother in future. The respondents of this research were selected at random for 462 female students at the university in Seoul and Kyongki area, and it was the period collected the data from Oct 28, 2000 to Nov 8, 2000. The method of study distributed the measuring tools of knowledge with 33 items and the tools of measurement with 20 items on the attitude of breast feeding to the respondents directly, and collected them. The data were analyzed to use SPSS program. Unpaired t-test, ANOVA, Pearson correlation coefficient and Multiple regression analysis were used for the calculation of difference between groups and the results were as follows ; 1. The breast feeding was 50.6% in the period of lactation for the respondents and the nuclear families were 81.7% in family constituent unit. In the future the wisher of breast feeding was 91.5%, the medical personnel was a major informer who enjoyed their best confidence, Besides the respond-ents responded that the proper period for education of the breast feeding was in a high school. 2. The level of Knowledge on breast feeding. The respondents's knowledge on breast feeding was average $16.40{\pm}4.59$ points on the basis of 33 points and On the merits and demerits ratio of breast feeding has shown highest but there was low in the field of such a concrete and practical plan as the estimate of breast feeding and the method and mindfulness for breast feeding. The higher grader, the college of the natural science showed significantly the higher points in the knowledge degree by respondents's characters and in such cases the persons of breast feeding or the informed of breast feeding by a medical personnel or the women of strong will for breast feeding action in the future. 3. The Attitude on breast feeding. There was relatively shown a positive attitude of the total average $60.50{\pm}7.59$ points and the average evaluation $3.04{\pm}.36$ points in the attitude on breast feeding. The attitude by each factors has the highest points in the practical action aspect but the lowest in the emotional aspect. The attitude on breast feeding by respondents's characters significantly showed a positive attitude in such cases the persons of breast feeding or the informed of breast feeding or the women of strong will for breast feeding action in the future. 4. Relation to knowledge and attitude on breast feeding. There was shown a correlation of definition in the relation to knowledge and attitude on breast feeding, 5.Factors which have an effect on knowledge and attitude on breast feeding. The factors which have an effect on knowledge of breast feeding were attitudes on breast feeding, graders, the college of natural science and the informed of breast feeding. Also the factors which have an effect on attitude on breast feeding were on will and knowledge on breast feeding, a large family, the informed of breast feeding. In conclusion, it will have to enforce a systematic education on the method of a practical breast feeding enlarged by a medical personnel and professional early enough as the information provision on breast feeding enables one to increase knowledge and attitude on it, besides it has relations with their practical will.

• Journal of the Korean Society of Food Science and Nutrition
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• v.34 no.1
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• pp.66-74
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• 2005

This survey was conducted to assess the consumer perceptions of food-related hazard in 500 housewives from all over Korea. The subjects were selected by stratified random sampling method. The survey was performed using structured questionnaire through telephone interview by skilled interviewers. The results showed that 34.6% of the respondents felt secure and were not concerned about food safety, and 65.4% were concerned about food safety. Logistic regression analysis showed that the increasing concern on food brands, food additives (such as food preservatives and artificial color), and imported foodstuffs indicated the current increasing concern on food safety. Other related factors indicating the increasing concern on food safety were education level and care for children's health. The respondents who cared about food safety expressed a high degree of concern on processed foodstuffs such as commercial boxed lunch (93.3%), imported foods (92.7%), fastfoods (89.9%), processed meat products (88.7%), dining out (85.6%), cannery and frozen foods (83.5%), and instant foods (82.0%). The lowest degree of concern was on rice. All the respondents perceived that residues of chemical substances such as pesticides and food additives, and endocrine disrupters were the most potential food risk factors, followed by food-borne pathogens, and GMOs (Genetically Modified Organisms). However, these results were not consistent with scientific judgment. Therefore, more education and information were needed for consumers' awareness of facts and myths about food safety. In addition, the results showed that consumers put lower trust in food products information such as food labels, cultivation methods (organic or not), quality labels, and the place of origin. Nevertheless, the respondents expressed their desire to overcome alienation, and recognized the importance of knowing of the origin or the producers of food. They identified that people who need to take extreme precautions on food contamination were the producers, government officials, food companies, consumers, the consumer's association, and marketers, arranged in the order of highest to lowest. They also believed that the production stage of agriculture was the most important step for improving the level of food safety Therefore, the results indicated that there is a need to introduce safety systems in the production of agricultural products, as follows: Good Agricultural Practice (GAP), Hazard Analysis and Critical Control Point (HACCP), and Traceability System (75).

• Tuberculosis and Respiratory Diseases
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• v.58 no.3
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• pp.230-242
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• 2005

Background : Spirometry should be compared with the normal predictive values obtained from the same population using the same procedures, because different ethnicity and different procedures are known to influence the spirometry results. This study was performed to obtain the normal predictive values of the Forced Vital Capacity(FVC), Forced Expiratory Volume in 1 Second($FEV_1$), Forced Expiratory Volume in 6 Seconds($FEV_6$), and $FEV_1/FVC$ for a representative Korean population. Methods : Based on the 2000 Population Census of the National Statistical Office of Korea, stratified random sampling was carried out to obtain representative samples of the Korean population. This study was performed as a part of the National Health and Nutrition Survey of Korea in 2001. The lung function was measured using the standardized methods and protocols recommended by the American Thoracic Society. Among those 4,816 subjects who had performed spirometry performed, there was a total of 1,212 nonsmokers (206 males and 1,006 females) with no significant history of respiratory diseases and symptoms, with clear chest X-rays, and with no significant exposure to respiratory hazards subjects. Their residence and age distribution was representative of the whole nation. Mixed effect models were examined based on the Akaike's information criteria in statistical analysis, and those variables common to both genders were analyzed by regression analysis to obtain the final equations. Results : The variables affecting the normal predicted values of the FVC and $FEV_6$ for males and females were $age^2$, height, and weight. The variables affecting the normal predicted values of the $FEV_1$ for males and females were $age^2$, and height. The variables affecting the normal predicted values of the $FEV_1/FVC$ for male and female were age and height. Conclusion : The predicted values of the FVC and $FEV_1$ was higher in this study than in other Korean or foreign studies, even though the difference was < 10%. When compared with those predicted values for Caucasian populations, the study results were actually comparable or higher, which might be due to the stricter criteria of the normal population and the systemic quality controls applied to the whole study procedures together with the rapid physical growth of the younger generations in Korea.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.161-173
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• 2020

As ICT convergence technology has spread and applied to various industrial fields and society in general, interest in rural entrepreneurship using smart farm as a means for solving many pending problems in agriculture is increasing. In this context, this study is to look at the influential factors in terms of perceived usefulness associated with the rural entrepreneurial intention using smart farm and suggest a proposal for spreading smart farms. The subjects were 296 general adults over 20 years old who were selected by simple random sampling method. The research method was exploratory factor analysis and multiple regression analysis using IBM SPSS 22.0. The perceived usefulness of smart farm, which are availability, reliability and economic efficiency were selected as independent variables to analyze the influential factors on rural entrepreneurial intention using smart farm and the moderating effect of personal innovation was observed. As a result, reliability and economic efficiency have a positive(+) influence on rural entrepreneurial intention using smart farm. And personal innovation moderates the relationship between the availability, reliability of smart farm and rural entrepreneurial intention using smart farm. The results of this study have significance in that we devised and empirically revealed factors affecting rural entrepreneurship intentions from the perspective of perceived usefulness of smart farms, away from studies of general entrepreneurship intention factors such as internal personal characteristics and external environmental factors. The implications of the study are expected to be utilized at the seeking direction of policy for potential entrepreneur using smart farm, the training and consulting in actual field of smart farm.

• Journal of Preventive Medicine and Public Health
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• v.32 no.2
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• pp.177-182
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• 1999

Objectives: To reexamine the association between air pollution and daily mortality in Seoul, Korea using a method of meta-analysis with the data filed for 1991 through 1995. Methods: A separate Poisson regression analysis on each district within the metropolitan area of Seoul was conducted to regress daily death counts on levels of each ambient air pollutant, such as total suspended particulates (TSP), sulfur dioxide $(SO_2)$, and ozone $(O_3)$, controlling for variability in the weather condition. We calculated a weighted mean as a meta-analysis summary of the estimates and its standard error. Results: We found that the p value from each pollutant model to test the homogeneity assumption was small (p<0.01) because of the large disparity among district-specific estimates. Therefore, all results reported here were estimated from the random effect model. Using the weighted mean that we calculated, the mortality at a $100{\mu}g/m^3$ increment in a 3-day moving average of TSP levels was 1.034 (95% Cl 1.009-1.059). The mortality was estimated to increase 6% (95% Cl 3-10%) and 3% (95% Cl 0-6%) with each 50 ppb increase for 9-day moving average of SO2 and 1-hr maximum O3, respectively. Conclusions: Like most of air pollution epidemiologic studies, this meta-analysis cannot avoid fleeing from measurement misclassification since no personal measurement was taken. However, we can expect that a measurement bias be reduced in a district-specific estimate since a monitoring station is hefter representative cf air quality of the matched district. The similar results to those from the previous studios indicated existence of health effect of air pollution at current levels in many industrialized countries, including Korea.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.157-173
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• 2011

As the Internet use explodes recently, the malicious attacks and hacking for a system connected to network occur frequently. This means the fatal damage can be caused by these intrusions in the government agency, public office, and company operating various systems. For such reasons, there are growing interests and demand about the intrusion detection systems (IDS)-the security systems for detecting, identifying and responding to unauthorized or abnormal activities appropriately. The intrusion detection models that have been applied in conventional IDS are generally designed by modeling the experts' implicit knowledge on the network intrusions or the hackers' abnormal behaviors. These kinds of intrusion detection models perform well under the normal situations. However, they show poor performance when they meet a new or unknown pattern of the network attacks. For this reason, several recent studies try to adopt various artificial intelligence techniques, which can proactively respond to the unknown threats. Especially, artificial neural networks (ANNs) have popularly been applied in the prior studies because of its superior prediction accuracy. However, ANNs have some intrinsic limitations such as the risk of overfitting, the requirement of the large sample size, and the lack of understanding the prediction process (i.e. black box theory). As a result, the most recent studies on IDS have started to adopt support vector machine (SVM), the classification technique that is more stable and powerful compared to ANNs. SVM is known as a relatively high predictive power and generalization capability. Under this background, this study proposes a novel intelligent intrusion detection model that uses SVM as the classification model in order to improve the predictive ability of IDS. Also, our model is designed to consider the asymmetric error cost by optimizing the classification threshold. Generally, there are two common forms of errors in intrusion detection. The first error type is the False-Positive Error (FPE). In the case of FPE, the wrong judgment on it may result in the unnecessary fixation. The second error type is the False-Negative Error (FNE) that mainly misjudges the malware of the program as normal. Compared to FPE, FNE is more fatal. Thus, when considering total cost of misclassification in IDS, it is more reasonable to assign heavier weights on FNE rather than FPE. Therefore, we designed our proposed intrusion detection model to optimize the classification threshold in order to minimize the total misclassification cost. In this case, conventional SVM cannot be applied because it is designed to generate discrete output (i.e. a class). To resolve this problem, we used the revised SVM technique proposed by Platt(2000), which is able to generate the probability estimate. To validate the practical applicability of our model, we applied it to the real-world dataset for network intrusion detection. The experimental dataset was collected from the IDS sensor of an official institution in Korea from January to June 2010. We collected 15,000 log data in total, and selected 1,000 samples from them by using random sampling method. In addition, the SVM model was compared with the logistic regression (LOGIT), decision trees (DT), and ANN to confirm the superiority of the proposed model. LOGIT and DT was experimented using PASW Statistics v18.0, and ANN was experimented using Neuroshell 4.0. For SVM, LIBSVM v2.90-a freeware for training SVM classifier-was used. Empirical results showed that our proposed model based on SVM outperformed all the other comparative models in detecting network intrusions from the accuracy perspective. They also showed that our model reduced the total misclassification cost compared to the ANN-based intrusion detection model. As a result, it is expected that the intrusion detection model proposed in this paper would not only enhance the performance of IDS, but also lead to better management of FNE.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.19-32
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• 2020

The purpose of this study was to investigate the influence factors of the university level centering on the entrepreneurial performance of the university students and full-time faculties in the situation of increasing interest in entrepreneurial university. In order to achieve the purpose of the study, a panel data was established from 2015 to 2018 on the basis of the university notification data. The panel data included universities with data on the number of university students and full-time faculty founders for at least two years. Through this, four year data from 154 universities were used for analysis. As an analysis method, frequency analysis and descriptive statistics were conducted to understand the characteristics of the university. Since then, panel negative binomial regression analysis has been conducted in consideration of the longitudinal features and distribution of the data. Also, based on the Hausman test results, the results were interpreted based on random effect model. The results of this study are as follows. First, as a result of the analysis of the entrepreneurial performance and the change trend of the domestic university from 2015 to 2018, the entrepreneurial performance of the university has been steadily increasing in the last four years, and the increase in the number of university student entrepreneurs was relatively higher than the full-time faculties. Second, economic and educational approaches need to be combined to promote university students' start-ups. The university factors that promote the start-up of university students were found to be scholarships, start-up grants, startup lectures, and startup clubs. Third, the openness and regional characteristics of the univeristy can promote the establishment of university students. Fourth, the establishment of a research environment and support for start-ups for full-time faculty members can enhance their start-up performance. The university factors that promote the start-up of full-time faculty were research funds and staffes who support start-up. The conclusions drawn from these findings are as follows. First, overall efforts are needed to develop into an entrepreneurial university. Second, in order to change into an entrepreneurial university, direct support for entrepreneurship is needed. Third, as an entrepreneurial university, it is necessary to find a way to bridge the gap by university according to region and size. Fourth, it is necessary to reinforce the support for linking the research results of universities to start-ups. Fifth, it is necessary to improve the atmosphere for full-time faculty members to be entrepreneur.

• Journal of Preventive Medicine and Public Health
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• v.17 no.1
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• pp.173-192
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• 1984

On the basis of the study intended to research by crosssectional study keeps pace with semilongitudinal study the growthaccelerating phenomena that Maximum Growth age in teenager's body-height. By the random sampling method, the subject of study are 12659 persons(male; 6355, female; 6304) that they are from 7 ages to 17 ages in the whole country including the rural community. The measurement period passed three month days, the statistical data became electronic data processing system with computer. The other side, body-height and MGA of Koreans who had been for during the period from 1925 to 1966 proved transition of the growth-accelerating phenomena by research data reported between 1913 and 1983. The results are as follows; 1. The Growth and Development-Value of Body-height An age bracket the growth and development-value of body-height were, respectively, male is $123.88{\pm}5.05cm$ and female is $123.29{\pm}5.54cm$ for 7 ages group. these indices increased with age. the top-value reach, respectively. $169.08{\pm}5.62cm$ and $157.57{\pm}6.13cm$. The intersecting ages of male and female were the age $8.5{\sim}12.5$, during these periods, female excelled male but after these periods, male excelled female again. In case of body-height, MGA's are 7.0cm for male between 12 and 13 ages, and 7.01cm for female between 8 and 9 ages. As a rule, body-height of male excelled female but intersection phenomena of male and female appeared between 8.5 and 12.5 ages. By reginal groups, it is most prevailing is Seoul, and medium size cities and rural community rome in order. By regional groups, intersection phenomena of male and female are. a region of Seoul; $$8.5{\sim}11.5$$ ages a region of Daejeon; $$7.5{\sim}9.5$$ ages rural community; $$11.5{\sim}14.5$$ ages the whole country's average; $$8.5{\sim}12.5$$ ages By regional groups, the rate of maximum increase in a year are a region of Seoul; male is 7.23cm as 13 ages female is 7.65cm as 9 ages. a region of Daejeon; male is 7.85cm as 11 ages. female is 8.39cm as 9 ages. rural community; male is 7.65cm as 14 ages. female is 6.25cm as 12 ages. the whole country's average; male is 7.0cm as 13 ages. female is 7.01 as 9 ages. 2. Maximum Growth Age (M.G.A.) By reginal groups, maximum Growth Age's are as below in a region of Seoul, MGA's are 12.63 for male and 9.01 for female, which shows that MGA for female appears about 3.5 years earlier than that for male. In a region of Daejeon, MGA's are 9.20 for male and 8.93 for female, which. show that they are all much the same in M.G.A. In rural community, MGA's are 14.00 for male and 11.89 for female, which shows that MGA for female apperars about 2 years earlier than that for male. In the whole average, MGA's are 13.01 for male and 8.97 for femal, which shows that for female appears about 4 years earlier than that for male. For boy, M.G.A. shows fastest-growing in Daejeon, and Seoul and rural commonly come in order. For girl, It shows equal growth in Seoul and Daejeon, rural community comes later. 3. The M.G.A's in body height of male are respectively the age 15.02 in 1913, 14.23 in 1956, 13.86 in 1967, 13.62 in 1975, and 12.82 in 1981, while those of female are the age 12.0 in 1940, 11.52 in 1965, 9.53 in 1975, and 11.16 in 1980; these data show that the MGA of the Koreans has been getting younger. 4. The equation of linear regression of all the MGA's in body height are as follow; Male: Y(M.G.A)=$-0.020{\times}$ (the year)+15.19: female:Y(MGA)=$-0.028{\times}$(the year)+13.2549. 5. The corelation of all the MGA's in body height are as below; male; r=-0.329 female;r=-0.252 6. From the transition of the growth-accelating phenomena in 1980 we can capture the fact that the MGA's has been getting younger by 0.2 year per 10 years. 7. The MGA's in bodyheight are shown in table 4... 8. The future growth-accelating phenomena in body height are expected to show the similar tendency like that of the past, in 1910's but it should by more precisely reviewed after investigating the phenomena of the years directly ahead.