• Korean Journal of Biological Psychiatry
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• v.22 no.2
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• pp.29-33
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• 2015

The brain maintains homeostasis and normal microenvironment through dynamic interactions of neurons and neuroglial cells to perform the proper information processing and normal cognitive functions. Recent post-mortem investigations and animal model studies demonstrated that the various brain areas such as cerebral cortex, hippocampus and amygdala have abnormalities in neuroglial numbers and functions in subjects with mental illnesses including schizophrenia, dementia and mood disorders like major depression and bipolar disorder. These findings highlight the putative role and involvement of neuroglial cells in mental disorders. Herein I discuss the physiological roles of neuroglial cells such as astrocytes, oligodendrocytes, and microglia in maintaining normal brain functions and their abnormalities in relation to mental disorders. Finally, all these findings could serve as a useful starting point for potential therapeutic concept and drug development to cure unnatural behaviors and abnormal cognitive functions observed in mental disorders.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.2
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• pp.646-663
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• 2014

Scrum is one of the most popular and efficient agile development methods. However, like other agile methods such as Extreme Programming (XP), Feature Driven Development (FDD), and the Dynamic Systems Development Method (DSDM), Scrum has been criticized because of lack of support to develop secure software. Thus, in 2011, we published research proposing the idea of a security backlog (SB). This paper represents the continuation of our previous research, with a focus on the evaluation in industry-based case study. Our findings highlight an improved agility in Scrum after the integration of SB. Furthermore, secure software can be developed quickly, even in situations involving requirement changes of software. Based on our experimental findings, we noticed that, when integrating SB, it is quite feasible to develop secure software using an agile Scrum model.

• Korean System Dynamics Review
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• v.14 no.1
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• pp.89-104
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• 2013

This study aims to explore the potentials of System Dynamics as a tool to understand the community welfare practice by paying attention to the strengths of System Dynamics to complement the weaknesses of the theories and studies of the community welfare practice. The contents of this study are as follows. First, it draws the limitations of its theories and studies by reviewing the literatures related. Second, it outlines the characteristics of the community welfare practice process as well as the strengths of System Dynamics as a tool to understand the community welfare practice. Third, it presents a causal loop model of System Dynamics applied to the community welfare practice process. Lastly, it concludes with the suggestions and implications of the key research findings. This study is expected to be a basic study to highlight the potentials of System Dynamics as a tool to understand the community welfare practice.

• Korean Journal of Organic Agriculture
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• v.24 no.4
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• pp.645-663
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• 2016

The purpose of this study was to look at the mediating effect of social support and interests on the relationship between characteristics of agricultural education program and word of mouth intentions. As a results of analysis of structural model, first, social support had a mediating effect on the relationship between characteristics of agricultural education program and word of mouth intentions. Second, interests had a mediating effect on the relationship between characteristics of agricultural education program and word of mouth intentions. The results highlight the importance of promoting social support and individuals' interests on the agricultural education program to increase the word of intention for agricultural education program. This eventually leads the revitalization and development of agricultural education.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1111-1112
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• 2011

This paper investigated application of fractional-slot concentrated-winding axial flux permanent magnet machines for wind turbines. Design criteria of cogging torque and voltage regulation was firstly proposed for this kind of application. Fractional winding has small cogging torque which is highlight for wind turbines, but slot leakage inductance would increase voltage regulation, which is an important performance index of generators. By varying slot opening, cogging torque and slot leakage inductance could be adjusted. In this paper, cogging torque and inductances were calculated by both analytical and finite element methods. Voltage regulation was studied by two-axis model under unity-power-factor load and verified by transient finite element analysis.

• East Asian Economic Review
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• v.21 no.2
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• pp.147-165
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• 2017

This study quantifies the dynamic interrelationship between the KOSPI index return and search query data derived from the Naver DataLab. The empirical estimation using a bivariate GARCH model reveals that negative contemporaneous correlations between the stock return and the search frequency prevail during the sample period. Meanwhile, the search frequency has a negative association with the one-week- ahead stock return but not vice versa. In addition to identifying dynamic correlations, the paper also aims to serve as a test bed in which the existence of profitable trading strategies based on big data is explored. Specifically, the strategy interpreting the heightened investor attention as a negative signal for future returns appears to have been superior to the benchmark strategy in terms of the expected utility over wealth. This paper also demonstrates that the big data-based option trading strategy might be able to beat the market under certain conditions. These results highlight the possibility of big data as a potential source-which has been left largely untapped-for establishing profitable trading strategies as well as developing insights on stock market dynamics.

• Journal of Periodontal and Implant Science
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• v.43 no.3
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• pp.111-120
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• 2013

Periodontitis is a common oral disease that is characterized by infection and inflammation of the tooth supporting tissues. While its incidence is highly associated with outgrowth of the pathogenic microbiome, some patients show signs of predisposition and quickly fall into recurrence after treatment. Recent research using genetic associations of candidates as well as genome-wide analysis highlights that variations in genes related to the inflammatory response are associated with an increased risk of periodontitis. Intriguingly, some of the genes are regulated by epigenetic modifications, supposedly established and reprogrammed in response to environmental stimuli. In addition, the treatment with epigenetic drugs improves treatment of periodontitis in a mouse model. In this review, we highlight some of the recent progress identifying genetic factors associated with periodontitis and point to promising approaches in epigenetic research that may contribute to the understanding of molecular mechanisms involving different responses in individuals and the early detection of predispositions that may guide in future oral treatment and disease prevention.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.12
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• pp.1947-1956
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• 2010

This study is to understand fashion product aesthetics by exploring the antecedents of aesthetic experiences and the influence of aesthetic experiences on impulse buying behavior. A total of 520 usable questionnaires were obtained through an internet survey. A structural equation model using a correlation matrix with maximum likelihood was estimated by using AMOS 18.0 to examine the relationships among aesthetic value, aesthetic acumen, affective experience, cognitive experience, and impulse buying behavior. The results showed that aesthetic value and acumen had a significant effect on the cognition of aesthetic experiences and that aesthetic experiences had a significant effect on impulse buying behavior. These results highlight the powerful motivational force behind fashion product aesthetics. The key implications for research and management are discussed further.

• Proceedings of the Korea Multimedia Society Conference
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• 2000.11a
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• pp.218-223
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• 2000

영상에서 색상은 조명과 물체의 반사 특성에 의해 걸정되므로고 정확한 조명성분 추출을 통해 물체 고유의 색상을 복원할 수 있다. 물체 색상과 하이라이트 색상의 분포와 이들간의 관계를 잘 반영하여 모델링한 Dichromatic 반사 모델에서는, 3차원 RGB 공간에서의 하이라이트(highlight) 영역에 의한 클러스터 분포형상으로부터 표면반사벡터를 구해 이것을 조명벡터로 결정하였다. 그러나, 표면반사벡터의 방향은 물체색상의 영향을 받아 실제 조명벡터와 동일한 방향을 나타내지 못한다는 것을 실험을 통해 알 수 있었다. 실제적으로 하이라이트영역에 대한 클러스터는 물체 색상으로부터 조명색상에 근접한 방향으로 형성되며, 조명벡터로는 글러스터의 최대값으로 향하는 것을 취하는 것이 보다 정확하다는 특성이 있음을 확인하였다. 본 논문에서는 여러 가지 실험을 통해 이러한 특성이 타당함을 제시하고, 그래픽반사모델을 이용하여 하이라이트 색상에 대한 새로운 해석 방법을 제시한다.

• Journal of Korea Multimedia Society
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• v.21 no.3
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• pp.432-440
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• 2018

In this study, we propose a marine character prototype study for development of a marine character as digital contents. This study is a precedent study to build a marine character database with the production of digital contents based on "Jasan-urbo". "Jasan-urbo" is a representative cultural heritage that can highlight the value of Korean marine culture as the first illustrated book of marine creatures in Korea. Therefore, we examined the use value of "Jasan-urbo" through the content approach and looked at the visualization for character utilization and then designed a marine fish species classification standard model. Finally, this study proposed the possibility of discovering prototype sources for digitalization of Korean marine creature's resources.