• Journal of Bone Metabolism
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• v.25 no.4
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• pp.251-266
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• 2018

Background: The causal networks among genes that are commonly expressed in osteoblasts and during bone metastasis (BM) of breast cancer (BC) are not well understood. Here, we developed a machine learning method to obtain a plausible causal network of genes that are commonly expressed during BM and in osteoblasts in BC. Methods: We selected BC genes that are commonly expressed during BM and in osteoblasts from the Gene Expression Omnibus database. Bayesian Network Inference with Java Objects (Banjo) was used to obtain the Bayesian network. Genes registered as BC related genes were included as candidate genes in the implementation of Banjo. Next, we obtained the Bayesian structure and assessed the prediction rate for BM, conditional independence among nodes, and causality among nodes. Furthermore, we reported the maximum relative risks (RRs) of combined gene expression of the genes in the model. Results: We mechanistically identified 33 significantly related and plausibly involved genes in the development of BC BM. Further model evaluations showed that 16 genes were enough for a model to be statistically significant in terms of maximum likelihood of the causal Bayesian networks (CBNs) and for correct prediction of BM of BC. Maximum RRs of combined gene expression patterns showed that the expression levels of UBIAD1, HEBP1, BTNL8, TSPO, PSAT1, and ZFP36L2 significantly affected development of BM from BC. Conclusions: The CBN structure can be used as a reasonable inference network for accurately predicting BM in BC.

• Journal of The Korean Digital Architecture Interior Association
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• v.13 no.2
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• pp.5-16
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• 2013

With regard to the new town developments which have supplied lots of houses in a short period of time in Korea this study aims to evaluation and finding out problems of the developments finally to suggest the direction. A new town's competitiveness model set in the previous paper takes a role of research frame to recognize the problems and to show the direction. The model explains that new town's competitiveness is composed of 4 factors; Self-sufficiency, Innovativenss, Identity and Sustainability. Problems of the developments are as follows; incongruity of spatial structure especially in the capital region, deficiency of self-sufficiency resulted from single-use development, restriction on mixed development by a number of regulations in capital region, low business value, grand scale of land compensation, house oriented planning guidance, unfair share of infrastructure fee, and physical structure depending mainly on fossil energy. Based on this recognition this study conclusively suggests corresponding direction such as role performance as a means of urban growth management, promotion of quality of life by accumulating social capital, introduction of socially sustainable management program for the new towns, discovery and creation of town's value, reexamination of self-sufficiency's meaning or target, selective deregulation of metropolitan development, institutional strategy for cost reduction, changeover from house index to urban function oriented index, and pursuit of low-carbon green town.

• Journal of Agricultural Extension & Community Development
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• v.4 no.1
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• pp.371-384
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• 1997

The objectives of this study were to investigate the present of agricultural extension education implemented in agricultural colleges since 1993 and to explore the development directions for strengthening the agricultural extension education in Korea. The Advanced Agricultural Management Program (AAMP), College of Agriculture & Life Sciences, Seoul National University is a rural adult education program for selected young farmers as a part of university extension education. The AAMP offers classes to farmers to improve their managerial skills in farming including high-technology agriculture, farm management, communication and information, and also offers various classes in the area of social, economic, and cultural affairs to improve leadership. Since the innovative AAMP started in March 1993 at the Seoul National University, 18 local national and private universities have adopted this model within six months to a year period. The AAMPs are integration of formal education with extension education, and expected develop understanding of the problems of rural areas and a strategic model for rural development. The programs are expected to contribute to develop human resources in agriculture and rural society, activate university extension, and lead the balanced development between urban and rural sectors in Korea.

• Journal of Korean Academy of Nursing
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• v.32 no.1
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• pp.16-27
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• 2002

This study was conducted to develop and test the hypothetical model which explains smoking cessation behavior was established based on the Triandis' interpersonal behavior theory. Method: The data were collected from the 400 university student smokers enrolled in the universities located in Seoul and Kyung-In province. The study was analyzed by path analysis with LIESREL 8 program. Results: All of the fit statistics, except the Chi-square value, it showed the hypothetical model was well fitted to the data. Benefit, affect, and social influences related to smoking cessation behavior had significant direct effect on intention to smoking cessation as shown in the study of the hypothetical model. Perceived barrier and the physiologic arousal related to smoking cessation had significant direct effects on performing smoking cessation behavior, whereas numbers of previous attempts to quit smoking and intention to smoking cessation did not.

• International Commerce and Information Review
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• v.6 no.3
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• pp.81-99
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• 2004

Research relevant to the electronic commerce tends to either overestimate or underrate the role of Information and Communication Technology (lCT). There is both technological skepticism within the social science circles and technical optimism within the engineering and computing field. Each perspective seems to have a limitation in adequately explaining the phenomenon of electronic commerce diffusion. Therefore, this research attempts to explore major characteristics of Web-based shopping systems as enablers of new business, concerning both the technical and business aspects in contemporary electronic commerce settings. On this basis, this paper addresses a configuration model of WBSS on the harmonious perspective concerning both the technical and business issues. It is our hope that both technical perspective and business perspective for exploring WBSS's configuration model presented in this paper can be an initial step towards a more balanced debate of ICT role, for electronic commerce.

• Journal of The Korean Association For Science Education
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• v.5 no.2
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• pp.99-112
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• 1985

As long as there is education, there will be teacher education. This statement implies that science education is the first step for the improvement of science education of the secondary schools. And science education must reflect an everchanging reality of scientific, technological, and social changes. However there have been problems in the curiculum and its operation for science teacher education. Therefore this research has its objectives to: 1) investigate the current goals of science education in the Korean secondary schools. 2) analyze the quality' and Knowledge required for science teacher to achieve the goals. 3) investigate the status and problems of science teacher education in korea and foreign countries. 4) develop a model for curriculum and its operation for desirable science teacher education. As a result of the study, a model for curriculum is described and the summary of the results of the study and suggestions for operation of the model are followed.

• Journal of Family Resource Management and Policy Review
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• v.11 no.4
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• pp.55-71
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• 2007

The purpose of this study was to explore a self-diagnostic indicator for measuring a healthy family by adopting the theme of "happiness", which has surfaced as the most interesting in many academic fields recently. Though the basic concept of a healthy family may be shared by everyone, the criterion of happiness varies from one family to another. Therefore, it is desirable that the tool be made in such a way that every member of the family can check their health from a holistic perspective, rather than diagnosing health and happiness from the perspective of professionals. So, this study was aimed at diagnosing a family by using a tool named GAMMA model, so each family member can recognize problems and find the best options to solve it. This study. has a significant meaning in that it has tried to diagnose families by introducing the GAMMA model into domestic science for the first time.

• Journal of The Korean Society of Agricultural Engineers
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• v.48 no.1
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• pp.41-48
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• 2006

In the evaluation of rural amenities, its properties are related with social, cultural, and environmental elements. In this study, Information Measure Model (IMM) and Cultural Property Priority Assessment Model (CPPAM) were developed adapting information measure model with text based surveying data. To apply developed model not only general properties but also specific surveyed data, Specific Information Gathering and Utilizing System (SIGUS) was constructed using the data in Dusan World encyclopedia. IMM shows priorities of cultural property by information in national-designated cultural properties. And CPPAM applied in surveying data in 2004 by Rural Resources Development Institute.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.449-452
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• 2023

The rapid development of the Internet has led to a significant increase in multimedia content in social networks. How to better analyze and improve video classification models has become an important task. Deep learning models have typical "black box" characteristics. The model requires explainable analysis. This article uses two classification models: ConvLSTM and VGG16+LSTM models. And combined with the explainable method of LRP, generate visualized explainable results. Finally, based on the experimental results, the accuracy of the classification model is: ConvLSTM: 75.94%, VGG16+LSTM: 92.50%. We conducted explainable analysis on the VGG16+LSTM model combined with the LRP method. We found VGG16+LSTM classification model tends to use the frames biased towards the latter half of the video and the last frame as the basis for classification.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.99-106
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• 2020

The purpose of this study is to find out whether image similarity between celebrities and brands on social network service be a determinant to predict advertising effectiveness. To this end, an advertising effect prediction model for celebrity endorsed advertising was created and its validity was verified through a machine learning method which is a big data analysis technique. Firstly, the celebrity-brand image similarity, which was used as an independent variable, was quantified by the association network theory with social big data, and secondly a multiple regression model which used data representing advertising effects as a dependent variable was repeatedly conducted to generate an advertising effect prediction model. The accuracy of the prediction model was decided by comparing the prediction results with the survey outcomes. As for a result, it was proved that the validity of the predictive modeling of advertising effects was secured since the classification accuracy of 75%, which is a criterion for judging validity, was shown. This study suggested a new methodological alternative and direction for big data-based modeling research through celebrity-brand image similarity structure based on social network theory, and effect prediction modeling by machine learning.