• Korea journal of population studies
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• v.4 no.1
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• pp.105-130
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• 1981

This study was conducted to compare the characteristics of high performane areas for family planning with that of low performance areas and to find factors which strongly affected contraceptive practice behavior. For the study, eight areas were selected from 274 rural family planning canvassing areas of Korean Population Policy and Program Evaluation Study, which was an action study operated in all areas of Cheju Island from July 1, 1976 until December 31,1979. As a first step of the action study, Cheju Island was devided up 318 family planning canvasser areas Each area was consisted of 200 households in rural district and 300 households in urhan one Duriog the period of project, each canvassing area had been managed by a female family planning canvasser, selected by director of health center considering several individual conditions needed for family planning activities Basic activities of canvassers were to counsell all the eligihie couples in own charged area about family planning methods and also to distribute contraceptives such as condoms and oral pills. In case couples desire to accept sterilization including vasectomy and tubal-ligation, the canvassers played a linking role connecting potential client with family planning field workers. Canvassng areas shows significant differentce in performance for family planning, nevertheless they are supposed to have almost the same conditions regarding family planning distribution channel. Because the purpose of the Cheju project was to eliminate all the problems that existed in governmental distribution system, that is to remove geographic, economic, cognitive and administrative barriers Accumulated performances of family planning methods accepted by residents in each area were calculated by eligible women aged 14-49. And then canvassing areas were ranked according to performance score. Consequently, 4 areas in extremely high and low family planning performance areas were selected respectively. Major results were obtained by comparing characteristics of high performance area with that of low performance areas, which are as follows: 1. The mean number of living children was about the same both in high and low performance areas for family planning. But respondents' mean age (38.5) in high performance areas was higher than that (37.0) in low performance areas 2. Respondents' perception in the expectant educational level of others' children in high performance areas was higher than that in low performance areas, although respondents educational level, monthly expenditure and ratio of children in high school and above was not different. 3. Ratio of ownerships of TV and newspaper in high performance areas was highen than that in low performance areas 4. The duration of canvasser' charge in high performance areas was longer than that of low performance areas, showing the fact that canvassers didn't move cut in high performance areas 5. In high performance areas, canvassers' houses were relatively located in the center part of the village. And so villagers resided in near distances from the anvasser's house 6. 4H clubs' activities in high performance areas were more active than those in low performance areas Therefore it was assumed that cohesiveness of community in high performance areas were stronger than that in low areas. 7. Canvassers' family planning practice rate was higher than that in low performance areas, and also canvassers' human relationship was more sociable than that of canvassers in low performance areas. 8. Fourteen variables which showed relatively high significance level in $X^2$ and F test were selected as independent variables for stepwise regression analysis. According to the results of regression analysis. five of 14 variables-distributors education level ($R^2$=.4439), duration of distributor's charge ($R^2$=.6166), 4H club activities ($R^2$=.6697), canvasser's contraceptive practice ($R^2$=.7377) and location of distributions house ($R^2$=.8010) explained 80.1 percent of total variance.

• Sijohaknonchong
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• v.43
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• pp.5-39
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• 2015

Shijo (Korean poetic form) is a representative literature genre of a short poem among the literary works of Korea in the late Chosen Dynasty. The format of Sijo is Normal-Shijo in the form of 3 verses, 6 sections and 12 sound, and the lyrics of one Normal-Shijo has within or without 45 words. But Saseol-sijo, a type of Sijo, there is a work that has more than 100 letters due to the number of lyrics were a lot increased. Among those Saseol-sijo there is a work with 'solemn and elegant feeling' borrowing some verses even from Chinese poem, using a lot of Chinese vocabulary, but there are a lot of works with 'salacious and explicit contents'. Literary work, Shijo, is used for lyrics of vocal music as Gagok (a genre of Korean vocal music for mixed female and male voices) and Sijochang, however, there are many cases that the same Sijo poem is used as lyrics of Gagok and Shijo. But those music that use Saseol-sijo as lyrics among Gagok, the vocal music, are mainly songs with 'solemn feeling' rather than 'salacious work'. This study looked into the reason why the Saseol-sijo with 'salacious and explicit contents' are hard to be used as lyrics in Gagok, confirming the fact that most music singing Saseol-sijo among Gagok that are being handed down till now use lyrics with 'solemn and elegant feeling'. The most important thing among those reasons seems to be irregularly increasing lyrics, and in accordance with accompaniment. Gagok accompanys a number of instruments the fixed melody recorded and delivered in score. So it's almost impossible to play unless it depends on the steadily made song melody and accompaniment melody according to the chosen lyrics in advanced. Also, appreciation of literary works is usually made privately through a private reading activity, but Gagok is conducted through public performance in an open space for many people. Especially, it would have been hard to sing a salacious and explicit song gathered together with men and women of different social status in social system and custom of the late of Chosen Dynasty. This study confirmed the fact that folksy and popular character that was praised for literary characteristic of Saseol-sijo can't be easily found from Saseol-sijo that was called Gagok.

• Education of Primary School Mathematics
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• v.16 no.2
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• pp.123-145
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• 2013

This study was expected to yield the meaningful conclusions from the experimental group who took lessons based on inductive activities using GeoGebra at the beginning of proof learning and the comparison one who took traditional expository lessons based on deductive activities. The purpose of this study is to give some helpful suggestions for teaching proof to mathematically gifted elementary students. To attain the purpose, two research questions are established as follows. 1. Is there a significant difference in proof abilities between the experimental group who took inductive lessons using GeoGebra and comparison one who took traditional expository lessons? 2. Is there a significant difference in proof attitudes between the experimental group who took inductive lessons using GeoGebra and comparison one who took traditional expository lessons? To solve the above two research questions, they were divided into two groups, an experimental group of 10 students and a comparison group of 10 students, considering the results of gift and aptitude test, and the computer literacy among 20 elementary students that took lessons at some education institute for the gifted students located in K province after being selected in the mathematics. Special lesson based on the researcher's own lesson plan was treated to the experimental group while explanation-centered class based on the usual 8th grader's textbook was put into the comparison one. Four kinds of tests were used such as previous proof ability test, previous proof attitude test, subsequent proof ability test, and subsequent proof attitude test. One questionnaire survey was used only for experimental group. In the case of attitude toward proof test, the score of questions was calculated by 5-point Likert scale, and in the case of proof ability test was calculated by proper rating standard. The analysis of materials were performed with t-test using the SPSS V.18 statistical program. The following results have been drawn. First, experimental group who took proof lessons of inductive activities using GeoGebra as precedent activity before proving had better achievement in proof ability than the comparison group who took traditional proof lessons. Second, experimental group who took proof lessons of inductive activities using GeoGebra as precedent activity before proving had better achievement in the belief and attitude toward proof than the comparison group who took traditional proof lessons. Third, the survey about 'the effect of inductive activities using GeoGebra on the proof' shows that 100% of the students said that the activities were helpful for proof learning and that 60% of the reasons were 'because GeoGebra can help verify processes visually'. That means it gives positive effects on proof learning that students research constant character and make proposition by themselves justifying assumption and conclusion by changing figures through the function of estimation and drag in investigative software GeoGebra. In conclusion, this study may provide helpful suggestions in improving geometry education, through leading students to learn positive and active proof, connecting the learning processes such as induction based on activity using GeoGebra, simple deduction from induction(i.e. creating a proposition to distinguish between assumptions and conclusions), and formal deduction(i.e. proving).

• Journal of Korean Home Economics Education Association
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• v.20 no.4
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• pp.125-137
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• 2008

The purpose of this study was to improve the interest of food and nutrition area in Technology Home Economics subject as well as food safety and choice. For that, we developed new teaching-learning plan by using reading education method and applied to the 9th grade students in Buchun, Kyunggi-do. Experimental and control groups were selected based on their test score in nutrition section. Control and experimental groups were educated by general lecture or reading education method for 4 weeks and the effect of different educational methods was tested. The results of study as follow: First, teaching-learning plan by using reading education method has been developed. To apply reading education method, we developed reading record cards which could help students to understand the terminology and nutritional problems. In addition, students had time to discuss about food safety and choice after reading education which could improve the interest in Technology Home Economics subject and communication skills. Second, after applying the developed lesson plan, the results showed that reading education method improved the interest and attitude about Technology Home Economics subject and teacher, and food choice attitude. However, reading education method had no effect on the interest on reading book about food and nutrition, and These results suggested that reading education method improved the interest and recognition about Technology Home Economics subject and teacher and food choice attitude. Therefore, to establish the proper dietary behavior in junior high school students, we need to develop and apply diversity of teaching-learning plan by using reading educational method.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.9
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• pp.1378-1386
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• 2013

Atopic dermatitis (AD) is a common skin disease characterized by chronic and relapsing inflammatory dermatitis with immunological disturbances. In spite of the continuous increase in the incidence of AD, it is regrettable that till date there is no effective treatment to treat the same. Therefore, the present study was designed to examine the possible anti-atopic effects of Castanea crenata inner shell extracts fermented by Lactobacillus bifermentans (FCS) in 2,4-dinitrochlorobenzene (DNCB) induced AD in NC/Nga mice. Based on the results of HPLC analysis, we found that FCS contains anti-inflammatory factors such as gallic acid (10.18 mg/g) and ellagic acid (2.14 mg/g). The groups that we have used in this study included 0.1%, 1%, 5% fermented Castanea crenata inner shell extracts (FCS 0.1, FCS 1, FCS 5), 1,3-butylene glycol treated control (AD), and normal mice. After topical FCS treatment, we observed that the clinical severity score for AD was lower in both the FCS 1 and FCS 5 groups than the AD group. We also proved beyond doubt that there was improvement of melanin, erythema and skin moisture indices in the FCS 5 group. Spleen index and gene expression levels of pro-inflammatory cytokines such as IL-$1{\beta}$ and TNF-${\alpha}$ were significantly decreased in the FCS 5 group compared to the AD group (P<0.05). Further, we also found that the level of serum immunoglobulin E (IgE) in the FCS-treated group was decreased in a concentration-dependent manner. The results of our study suggest that FCS can be effectively used as a cosmeceutical ingredient for both the prevention and improvement of AD.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.139-153
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• 2017

Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.

• Journal of the Korean Society of Food Science and Nutrition
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• v.40 no.1
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• pp.128-136
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• 2011

This study was carried out to investigate the factors of food service satisfaction of the elderly in Busan. The survey was conducted from September 1 to October 15, 2009 by questionnaires and data analyzed by SPSS program. Fifty point nine percent of the subjects lived alone and the source of living expenses of 70.5% of the subjects was subsidy from government. The most important reason for the elderly to participate in meal service was 'economic difficulty' and 'to meet friend'. The subjects had various chronic degenerative diseases, such as arthritis, hypertension, diabetes, osteoporosis and cardiac disease. Sixty-six point eight percent of the subjects needed diet therapy for their diseases, but 87.1% of them don't want to pay the extra fee. Thirty six point five percent of the subjects attained information about lunch program because it was 'close to home' but 20.7% was 'from public officials'. The reasons for the use of the meal service were 'economic difficulty' (40.0%), 'to meet friends' (22.6%), and 'bother to prepare meal' (16.50%). The services provided by welfare center were health care, physical exam and haircut. The score given by the subjects on the satisfaction of meal service was 3.84 on the 5-point maximum scale. Higher satisfaction on kindness of staff, satisfaction of social support and awareness of support resulted in higher satisfaction of food service. It would be effective to provide food service models that meet specific needs of the elderly according to social welfare service and social community activities.

• Journal of Animal Science and Technology
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• v.46 no.5
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• pp.719-728
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• 2004

The aims of this study were to estimate genetic parameters for carcass traits on Hanwoo(Korean Native Cattle) and to compare two different statistical algorithms for estimating genetic parameters. Data obtained from 1526 steers at Hanwoo Improvement Center and Hanwoo Improvement Complex Area from 1996 to 2001 were used for the analyses. The carcass traits considered in these studies were carcass weight, dressing percent, eye muscle area, backfat thickness, and marbling score. Estimated genetic parameters using EM-REML algorithm were compared to those by Bayesian inference via Gibbs Sampling to find out statistical properties. The estimated heritabilities of carcass traits by REML method were 0.28, 0.25, 0.35, 0.39 and 0.51, respectively and those by Gibbs Sampling method were 0.29, 0.25, 0.40, 0.42 and 0.54, respectively. This estimates were not significantly different, even though the estimated heritabilities by Gibbs Sampling method were higher than ones by REML method. Since the estimated statistics by REML method and Gibbs Sampling method were not significantly different in this study, it is inferred that both mothods could be efficiently applied for the analysis of carcass traits of cattle. However, further studies are demanded to define an optimal statistical method for handling large scale performance data.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.119-142
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• 2015

With the explosive growth in the volume of information, Internet users are experiencing considerable difficulties in obtaining necessary information online. Against this backdrop, ever-greater importance is being placed on a recommender system that provides information catered to user preferences and tastes in an attempt to address issues associated with information overload. To this end, a number of techniques have been proposed, including content-based filtering (CBF), demographic filtering (DF) and collaborative filtering (CF). Among them, CBF and DF require external information and thus cannot be applied to a variety of domains. CF, on the other hand, is widely used since it is relatively free from the domain constraint. The CF technique is broadly classified into memory-based CF, model-based CF and hybrid CF. Model-based CF addresses the drawbacks of CF by considering the Bayesian model, clustering model or dependency network model. This filtering technique not only improves the sparsity and scalability issues but also boosts predictive performance. However, it involves expensive model-building and results in a tradeoff between performance and scalability. Such tradeoff is attributed to reduced coverage, which is a type of sparsity issues. In addition, expensive model-building may lead to performance instability since changes in the domain environment cannot be immediately incorporated into the model due to high costs involved. Cumulative changes in the domain environment that have failed to be reflected eventually undermine system performance. This study incorporates the Markov model of transition probabilities and the concept of fuzzy clustering with CBCF to propose predictive clustering-based CF (PCCF) that solves the issues of reduced coverage and of unstable performance. The method improves performance instability by tracking the changes in user preferences and bridging the gap between the static model and dynamic users. Furthermore, the issue of reduced coverage also improves by expanding the coverage based on transition probabilities and clustering probabilities. The proposed method consists of four processes. First, user preferences are normalized in preference clustering. Second, changes in user preferences are detected from review score entries during preference transition detection. Third, user propensities are normalized using patterns of changes (propensities) in user preferences in propensity clustering. Lastly, the preference prediction model is developed to predict user preferences for items during preference prediction. The proposed method has been validated by testing the robustness of performance instability and scalability-performance tradeoff. The initial test compared and analyzed the performance of individual recommender systems each enabled by IBCF, CBCF, ICFEC and PCCF under an environment where data sparsity had been minimized. The following test adjusted the optimal number of clusters in CBCF, ICFEC and PCCF for a comparative analysis of subsequent changes in the system performance. The test results revealed that the suggested method produced insignificant improvement in performance in comparison with the existing techniques. In addition, it failed to achieve significant improvement in the standard deviation that indicates the degree of data fluctuation. Notwithstanding, it resulted in marked improvement over the existing techniques in terms of range that indicates the level of performance fluctuation. The level of performance fluctuation before and after the model generation improved by 51.31% in the initial test. Then in the following test, there has been 36.05% improvement in the level of performance fluctuation driven by the changes in the number of clusters. This signifies that the proposed method, despite the slight performance improvement, clearly offers better performance stability compared to the existing techniques. Further research on this study will be directed toward enhancing the recommendation performance that failed to demonstrate significant improvement over the existing techniques. The future research will consider the introduction of a high-dimensional parameter-free clustering algorithm or deep learning-based model in order to improve performance in recommendations.

• Journal of Hospice and Palliative Care
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• v.4 no.1
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• pp.4-13
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• 2001

Purpose : Since the acquired immune deficiency syndrome (AIDS) was first recognized in the United States in the summer of 1981, the number of these patients has been increasing in the world. But do not find out a cure and a vaccine for ARS (5). And so, the best treatment for AIDS is the prevention. People can find out accurate knowledge about AIDS, and they can prevent themselves from AIDS approximately 100%. In this study, we investigate with AIDS knowledge and attitudes in unmarried young men (<24 age) and suggest accurate preventive education for AIDS and good sexual behaviors. Methods : Un-married young soldiers and college students who were not diagnosed as AIDS until June 30, 2000 were included in the study. The study included a total of 923 men. A self evaluation questionnaire, included questions on 36 items(the part of demographic data - 9; the part of knowledge - 20; the part of attitudes - 8), was drawn up by three physicians. The demographic data, AIDS knowledge and attitudes were analyzed by chi-square analysis, and the total score of AIDS knowledge - comparison according to demographic factors and attitudewere analyzed by one-way ANOVA test. Results : In demographic characteristics, as for the first recognized time of AIDS, most of men knew it when they were in their middle school, as for sources of information on AIDS, most of them knew it through the TV-media, and as for the educational need about AIDS, most of them agreed with it. In AIDS knowledge, mean scores were $14.0{\pm}1.8$ (70.3%). Items of the misconceptions concerning AIDS, reported as less than 50% correct answers, were 6 among 20 items (30%). In AIDS attitudes, as for the item about that if I will be an AIDS patient, I will have an AIDS treatment, it showed that the number of men agreed with 759 (82.2%), and as for the item about that I will help for AIDS patient even though I don't know him, it showed that the number of them agreed with 412 (45.8%). In correlation of AIDS knowledge and demographic factors, the mean scores of knowledge of men with higher than college degree were higher than them of others. The mean scores of knowledge of men with total income of family with more than US$1667 were higher than them of others. The mean scores of knowledge of men with sources of information on AIDS through the TV-media were higher than them of others. And the mean scores of knowledge of men with past medical history of STD(sexually transmitted disease) were higher than them of others. Conclusions : The higher the knowledge he has, the lower the possibility of risk and the more positive the attitude he has. And then we think that the education program for AIDS will be included as a regular part of the curriculum in high school, and young men must be effectively educated by it.