• Journal of agricultural medicine and community health
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• v.28 no.1
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• pp.1-13
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• 2003

Objectives: The purpose of this study is to summarize results from 11 domestic studies about sick role behavior applied health belief model and to assess the effectiveness of components on behavior change by using meta-analysis. Methods: We collected the existing literatures by using major web search of 'pulmonary tuberculosis patients', 'health belief model', and 'sick role behavior' as key words and by reviewing content of journals. Quantitative meta-analysis was performed by SAS program. Results: Among 66 articles, 11 studies were selected for quantitative meta-analysis. The knowledge level about pulmonary tuberculosis had more effect for only sick role behavior as general characterisitcs(d=0.7870). All the components of health belief model produced significant effects on sick role behavior with the magnitude of effect size from 0.31 to 0.73. The largest effects were benefits on actions of sick role behavior. Conclusions: Overall, these investigation provide very substantial empirical evidence supporting health belief model dimensions as important contributors to the explanation and prediction of sick role behavior among the type of health related behavior in pulmonary tuberculosis patients. Strategic intervention including health education, etc. based on health belief model showed clear advantage in improvement of behavioral change.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.6 no.1
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• pp.141-152
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• 1999

The purpose of this study was to identify correlations among family support, self-esteem and compliance in preventive health behavior in elderly people. The results will provide valuable data for nursing interventions towards help the elderly lead better lives. Those who lived with elderly people in Kimchun were interviewed by the researcher and an assistant. The subjects were 191 elderly people over the age of 65. The study method used was a structured questionnaire and the data were collected from September 17th to September 31th in 1998. The tools for this study were the family support scale designed by Gang Hyun Sook, the self-esteem scale designed by Rosenberg and the preventive health behavior scale designed by Gang Yune Sook. The data were analyzed by the SAS program, Mean, SD, T-test, ANOVA, Pearson Correlation Coefficients. The results of this study are as follows : 1. The mean score for family support was 40.49. The score of family support of the elderly showed significant differences according to age(F=2.66, P<.05), spouse presence(t=4.20, P<.001), family pattern(F=4.56, P<.01), economic status (F=10.47, P<.001) and pocket money(F=10.46, P<.001). 2. The mean score for self-esteem was 29.01. The score of self-esteem of the elderly showed significant differences according to educational level(F=3.47, P<.01), spouse presence(t=2.49, P<.05), family pattern(F=3.79, P<.01), economic staus(F=15.65, P<.001) and pocket money(F=14.04, P<.001). 3. The mean score for compliance with preventive health behavior was 53.15. The score of compliance of preventive health behavior of the elderly showed significant differences according to economic status(F=9.34, P<.001) and pocket money(F=8.13, P<.001). 4. The relation between family support and self-esteem was significantly different(r=.57, P<.001). The relation between family support and compliance with preventive health behavior was significantly different(r=.44, P<.001). The relation between self-esteem and compliance with proventive health behavior was significantey different(r=.51, P<.001), In conclusion, the correlations among lamily support, self-esteem and compliance with preventive health behavior in elderly people showed significant differences.

• Korean Journal of Social Welfare
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• v.56 no.3
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• pp.159-181
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• 2004

This study examines the realities and causes of youth and new college graduate unemployment, and seeks some assignments for mitigating youth and new college graduate unemployment. An analysis of the realities and causes of youth and new college graduate unemployment is summarized as follows. First, youth unemployment rate, which rapidly increased after the IMF economic crisis, slowly decreased after 2000, but was still somewhat higher in 2002 than that before the IMF. Second, new college graduate unemployment rate, which rapidly increased after the IMF economic crisis, slowly decreased after 2000 and became a similar level to that before the IMF economic crisis, but the number of the unemployed new college graduates highly increased after the IMF. Third, an analysis of the causes of youth unemployment shows that economic growth and the employment elasticity of economic growth negatively affect the unemployment rate, and the rate of entrance into colleges positively affects the unemployment rate. Fourth, an analysis of the causes of new college graduate unemployment demonstrates that economic growth and the employment elasticity of economic growth negatively affect the unemployment rate, and the increase rate of new college graduates, the college graduate/youth population ratio, and the time trend positively affect the unemployment rate. These results suggest several implications for mitigating the unemployment rate of the youth and new college graduates. First, in order to increase labor demand, emphasis must be placed on preparing economic conditions which can raise economic growth rate and on fostering industries and occupations which have high employment elasticity. Second, in the aspect of labor supply, it is necessary to adjust the number of new college graduates corresponding to labor demands in industries. Third, in order to redress the mismatch between the demand and the supply of the youth labor market, attention should be paid to remedying educational systems such as the activation of vocational education and training in middle and high schools and the reformation of college education to match the education and training provided in colleges and the skills requirements of the world of work, and preparing a unified program to support the youth unemployed systematically and synthetically.

• The Journal of Korean Academy of Prosthodontics
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• v.54 no.1
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• pp.1-7
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• 2016

Purpose: The aim of this study was to evaluate the effect of increased vertical dimension of occlusion on lower facial changes by facial type. Materials and methods: Lateral cephalograms from 261 patients were obtained and classified by sagittal (Class I, II, and III) and vertical (hypodivergent, normodivergent, and hyperdivergent) facial patterns. Retrusive displacement of soft tissue Pogonion and downward displacement of soft tissue Menton were measured in each group after 2 mm of vertical dimension of occlusion was increased at the lower central incisor using a virtual simulation program. The ratio of both displacements was calculated in all groups. The statistical analysis was done by 2-way ANOVA and Post hoc was done by Tukey test (5% level of significance). Results: Retrusive displacement of soft tissue Pogonion in Class III group was statistically different compared to Class I and II, and in vertical facial groups all 3 groups were significantly different (P<.05). Downward displacement of soft tissue Menton showed statistically significant difference between all sagittal groups and vertical groups (P<.05). The ratio of both displacements showed statistically significant difference in all sagittal groups and vertical groups (P<.05), and Class II hyperdivergent group had the highest value. Conclusion: Lower facial change was statically significant according to the facial type when vertical dimension of occlusion increased. Class II hyperdivergent facial type showed the highest ratio after increase in vertical dimension of occlusion.

• Korea journal of population studies
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• v.19 no.2
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• pp.175-205
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• 1996

The purpose of this study was to find the distribution of the variables on the quality of life and the determinants of the sexual attitude and behavior of the unmarried female workers. This study was surveyed to the 306 unmarried women who worked in the small and medium scale industries in Kyungin area and analyzed the respondent's knowledge of sex, sexual behavior, health behavior, health status, satisfaction of working condition and recognition of working environment. The result of this study could be summarized as follows: The respondent's age are mostly early of twenties and their education level are high school and more. They recognize that their health condition is not so good but they hardly try to improve health condition. They think that their working condition are mostly unsatisfied and they also believe that they expose themselves to the toxic working environment. Although their knowledge of sex are low they have few chances for the education of sex and family planning. Their attitude of premarital sex are conservertive but the rate of approval of living together before marriage are high and the rate of premarital sex is around 15 percent. The premarital sex behavior are positively related with family size, living condition, knowledge of sex and working period but the sex experiences are negatively related with working period and knowledge of sex. As a result we suggest that the sex education and consultative program are necessary for improving the quality of life of the unmarried working women in small and medium scale industries.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.437-456
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• 2016

This study, based on the need for department of LIS education program that targets training of subject-special librarian, focuses on proving that such education can improve perception of subject-special librarian and strengthen career decision-making. This study is composed of two parts. First, this study investigates case studies about subject-special librarian cultivation. Second, this study includes a survey about subject-special librarian, improving understanding about subject-special librarian, and improving career decision-making which was carried out targeting students who take 'Medical Terms and MeSH', and 'Health & Medical Information Sources' courses. Results are as follows. First, most of the respondents felt the need for medical librarian and medical information services (88.7%), understood the role of medical librarian (92.5%), got to know more about the types and functions of medical information services (100%), and came to be more aware of the self-esteem a medical librarian feels as a professional. Second, relatively, the percentage of respondents who demonstrated the willingness to work at a medical library (45.3%) or work in the field of medical information services (26.4%) was noticeably low. Third, there were no statistical difference in whether the students took related courses or not, number of courses they took and difference in their school year, and in regard of the level of understanding of medical librarian and medical information services, those who took courses demonstrated higher understanding than did those who did not take those courses. Also, those who took the courses showed stronger willingness to work as a medical librarian. Fourthly, the curriculum carried out by the department of library and information service was effective in understanding medical librarian and medical information services, but makes students more cautious about deciding whether or not to start their career at a medical library. Lastly, it was recommended that there is a need to have the curriculum updated in order to help students overcome the difficulty and unfamiliarity they feel about medical subject.

• Journal of Life Science
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• v.26 no.8
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• pp.904-910
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• 2016

Complex traits are determined by the combined effects of many loci and are affected by gene networks or biological pathways. Systems biology approaches have an important role in the identification of candidate genes related to complex diseases or traits at the system level. The gene network analysis has been performed by diverse types of methods such as gene co-expression, gene regulatory relationships, protein-protein interaction (PPI) and genetic networks. Moreover, the network-based methods were described for predicting gene functions such as graph theoretic method, neighborhood counting based methods and weighted function. However, there are a limited number of researches in livestock. The present study systemically analyzed genes associated with 102 types of economic traits based on the Animal Trait Ontology (ATO) and identified their relationships based on the gene co-expression network and PPI network in cattle. Then, we constructed the two types of gene network databases and network visualization system (http://www.nabc.go.kr/cg). We used a gene co-expression network analysis from the bovine expression value of bovine genes to generate gene co-expression network. PPI network was constructed from Human protein reference database based on the orthologous relationship between human and cattle. Finally, candidate genes and their network relationships were identified in each trait. They were typologically centered with large degree and betweenness centrality (BC) value in the gene network. The ontle program was applied to generate the database and to visualize the gene network results. This information would serve as valuable resources for exploiting genomic functions that influence economically and agriculturally important traits in cattle.

• Journal of Korean Home Economics Education Association
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• v.31 no.1
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• pp.137-149
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• 2019

This study described the status of snack intake and personality of middle school students, determined the differences in snack intake and personality according to gender and grade levels, and examined the effect of snack intake on personality. Data were collected from a self-reported survey from students of a middle school in Gwangju city and 717 questionnaires used for the analyses. The data were analyzed for frequency, percentage, mean, standard deviation, Cronbach's α, t-test, ANOVA, Duncan test, and multiple regression analysis using SPSS/PC 18.0 program. The results obtained were as follows. First, as for the snack intake frequency, '1~2 times per a day' had the largest number of responses(42.3%), followed by 'sometimes'(37.6%), '2~3 times per a day'(12.6%), 'never'(7.5%). As for the reason of snack intake, 'habitually'(27.3%) had the largest number of responses, followed by 'insufficient amount of meal'(21.0%), 'skipping meals'(13.6%), and 'stress relief'(8.2%). Mean score of agreeableness was the highest(3.64) among the personality components followed by Openness/intellect(3.42), Extraversion(3.36), Conscientiousness(3.15), and Emotional Stability(3.09) on the 5-point scale. Second, there were statistically significant differences in Emotional Stability depending on the gender. There were statistically significant differences in Extraversion, Agreeableness, and Openness/intellect by the grade level. Third, fruit intake frequency had statistically significant influence on Extraversion(β=.134). Intake frequency of bread(β=-.099), fruit(β=.142), ice cream(β=.092), and rice cake(β=.090) had statistically significant influence on Agreeableness. Intake frequency of bread(β=.105), drink(β=-.113), fruit(β=.113), and flour-based food(β=-.126) had statistically significant influence on Emotional Stability. Intake frequency of fruit(β=.106) and milk(β=.110) had statistically significant influence on Openness/intellect. Intake frequency of fruit had statistically positive influence on all the personality components. Intake frequency of rice cake had statistically positive influence on two personality components. Intake frequency of drinks had statistically negative influence on Emotional Stability. The outcomes indicate that snack intake affects the personality of adolescents.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.975-976
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• 1993

This talk presents the overview of the author's research and development activities on fuzzy inference hardware. We involved it with two distinct approaches. The first approach is to use application specific integrated circuits (ASIC) technology. The fuzzy inference method is directly implemented in silicon. The second approach, which is in its preliminary stage, is to use more conventional microprocessor architecture. Here, we use a quantitative technique used by designer of reduced instruction set computer (RISC) to modify an architecture of a microprocessor. In the ASIC approach, we implemented the most widely used fuzzy inference mechanism directly on silicon. The mechanism is beaded on a max-min compositional rule of inference, and Mandami's method of fuzzy implication. The two VLSI fuzzy inference chips are designed, fabricated, and fully tested. Both used a full-custom CMOS technology. The second and more claborate chip was designed at the University of North Carolina(U C) in cooperation with MCNC. Both VLSI chips had muliple datapaths for rule digital fuzzy inference chips had multiple datapaths for rule evaluation, and they executed multiple fuzzy if-then rules in parallel. The AT & T chip is the first digital fuzzy inference chip in the world. It ran with a 20 MHz clock cycle and achieved an approximately 80.000 Fuzzy Logical inferences Per Second (FLIPS). It stored and executed 16 fuzzy if-then rules. Since it was designed as a proof of concept prototype chip, it had minimal amount of peripheral logic for system integration. UNC/MCNC chip consists of 688,131 transistors of which 476,160 are used for RAM memory. It ran with a 10 MHz clock cycle. The chip has a 3-staged pipeline and initiates a computation of new inference every 64 cycle. This chip achieved an approximately 160,000 FLIPS. The new architecture have the following important improvements from the AT & T chip: Programmable rule set memory (RAM). On-chip fuzzification operation by a table lookup method. On-chip defuzzification operation by a centroid method. Reconfigurable architecture for processing two rule formats. RAM/datapath redundancy for higher yield It can store and execute 51 if-then rule of the following format: IF A and B and C and D Then Do E, and Then Do F. With this format, the chip takes four inputs and produces two outputs. By software reconfiguration, it can store and execute 102 if-then rules of the following simpler format using the same datapath: IF A and B Then Do E. With this format the chip takes two inputs and produces one outputs. We have built two VME-bus board systems based on this chip for Oak Ridge National Laboratory (ORNL). The board is now installed in a robot at ORNL. Researchers uses this board for experiment in autonomous robot navigation. The Fuzzy Logic system board places the Fuzzy chip into a VMEbus environment. High level C language functions hide the operational details of the board from the applications programme . The programmer treats rule memories and fuzzification function memories as local structures passed as parameters to the C functions. ASIC fuzzy inference hardware is extremely fast, but they are limited in generality. Many aspects of the design are limited or fixed. We have proposed to designing a are limited or fixed. We have proposed to designing a fuzzy information processor as an application specific processor using a quantitative approach. The quantitative approach was developed by RISC designers. In effect, we are interested in evaluating the effectiveness of a specialized RISC processor for fuzzy information processing. As the first step, we measured the possible speed-up of a fuzzy inference program based on if-then rules by an introduction of specialized instructions, i.e., min and max instructions. The minimum and maximum operations are heavily used in fuzzy logic applications as fuzzy intersection and union. We performed measurements using a MIPS R3000 as a base micropro essor. The initial result is encouraging. We can achieve as high as a 2.5 increase in inference speed if the R3000 had min and max instructions. Also, they are useful for speeding up other fuzzy operations such as bounded product and bounded sum. The embedded processor's main task is to control some device or process. It usually runs a single or a embedded processer to create an embedded processor for fuzzy control is very effective. Table I shows the measured speed of the inference by a MIPS R3000 microprocessor, a fictitious MIPS R3000 microprocessor with min and max instructions, and a UNC/MCNC ASIC fuzzy inference chip. The software that used on microprocessors is a simulator of the ASIC chip. The first row is the computation time in seconds of 6000 inferences using 51 rules where each fuzzy set is represented by an array of 64 elements. The second row is the time required to perform a single inference. The last row is the fuzzy logical inferences per second (FLIPS) measured for ach device. There is a large gap in run time between the ASIC and software approaches even if we resort to a specialized fuzzy microprocessor. As for design time and cost, these two approaches represent two extremes. An ASIC approach is extremely expensive. It is, therefore, an important research topic to design a specialized computing architecture for fuzzy applications that falls between these two extremes both in run time and design time/cost. TABLEI INFERENCE TIME BY 51 RULES {{{{Time }}{{MIPS R3000 }}{{ASIC }}{{Regular }}{{With min/mix }}{{6000 inference 1 inference FLIPS }}{{125s 20.8ms 48 }}{{49s 8.2ms 122 }}{{0.0038s 6.4㎲ 156,250 }} }}

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.5
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• pp.818-827
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• 2013

The purpose of this study was to identify food consumption patterns of the elderly and factors affecting them to improve their dietary health. Data from 1,172 elderly subjects (over 65 years old) from the fifth Korea National Health and Nutrition Examination Survey (KNHANES V-1) were used in our analysis. Validity and reliability analyses of food consumption frequency allowed the identification of seven factors: fruits, foods for Korean style meal, instant foods, alcohols, carbohydrate-rich snacks, vegetables, and legumes/mixed grains. Food consumption patterns were classified into four groups (according to the food consumption frequency) using cluster analysis. Cluster 4 showed a significantly higher food consumption frequency and Cluster 3 had a relatively high overall food consumption frequency but lower alcohol consumption frequency compared to the other clusters. Cluster 2 was characterized by a generally low food consumption frequency but a significantly higher alcohol consumption frequency. Cluster 1 showed a generally low food consumption frequency; however, the consumption frequency of legumes/mixed grains was higher than Cluster 2. Further analysis showed that the food consumption patterns of the elderly were affected by variables such as gender, age, town, economic status, education level, family type, and frequency of eating out. We conclude that a proper nutritional education program should be conducted to address specific dietary problems for each elderly segment.