• The Plant Pathology Journal
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• v.32 no.6
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• pp.552-562
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• 2016

Pathogenesis-related proteins play multiple roles in plant development and biotic and abiotic stress tolerance. Here, we characterize a rice defense related gene named "jasmonic acid inducible pathogenesis-related class 10" (JIOsPR10) to gain an insight into its functional properties. Semi-quantitative RT-PCR analysis showed up-regulation of JIOsPR10 under salt and drought stress conditions. Constitutive over-expression JIOsPR10 in rice promoted shoot and root development in transgenic plants, however, their productivity was unaltered. Further experiments exhibited that the transgenic plants showed reduced susceptibility to rice blast fungus, and enhanced salt and drought stress tolerance as compared to the wild type. A comparative proteomic profiling of wild type and transgenic plants showed that overexpression of JIOsPR10 led to the differential modulation of several proteins mainly related with oxidative stresses, carbohydrate metabolism, and plant defense. Taken together, our findings suggest that JIOsPR10 plays important roles in biotic and abiotic stresses tolerance probably by activation of stress related proteins.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.329-335
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• 2016

This paper's objective is to investigate the display fatigue quantitatively according to watching 2D and 3D videos on the display. Though it has been known commonly that display fatigue by 3D is greater than one by 2D, there have been few researches with an aim to measure display fatigue scientifically. Flicker fusion frequency and cybersickness degree were measured before/after sixteen subjects(Male 8, Female 8) watch the 2D, 3D images. Two dependent variables affected by 2D and 3D videos were analyzed and compared statistically based on scientific evidences and researches. 3D showed a value 4 times as much as 2D in cybersickness increase rate, and the reduction rate of 3D was 2 times as much as that of 2D.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.545-555
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• 2018

The current study uses photovoice, a participatory and quantitative method of research, to understand the stress in the youth through the experiences of university students. The study was conducted in the order of education, data collection, data analysis for six session college students in J city. The results was largely categorized into three themes as follows. Firstly, as sub-themes of meaning of stress, there were 'Spider web that clogs the head', 'Seemingly endless passage', 'Anxiety that keeps hands fidgeting', Secondly, factors of stress, there were 'Life does not depend on the class rank', Financial hardships,' Frustrated with getting a job', 'Difficulty in time management', Thirdly, how to cope with stress, there were 'A friend you can freely talk to and laugh with', 'Grab some food and release some stress', 'Get away from daily life', Positive thinking relaxes body and spirit'. Based 0n the analyzed results, we can understand the causes and coping strategies of college students in depth, suggested the practical suggestions and limitation of college society about stress and the educational implication of utilizing photovoice.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.111-119
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• 2020

This study takes Chinese independent tourists to South Korea as the research object, mines the data of tourists' digital footprints from online travel notes, and analyzes the characteristics of the tourism flow of Chinese independent tourists to South Korea by using the method of quantitative statistics and social network analysis(SNA). The results show that Seoul, Jeju Island, Busan and Daegu are the important tourist destinations for Chinese independent tourists entering South Korea. In addition, Qingdao, Tianjin, Shenyang, Hong Kong, Foshan and Macao are crucial hubs for Chinese independent tourists to visit South Korea. In future studies, the number of sample data should be increased. The time span of data collection should be extended for studying the annual variation characteristics of tourism flow and the trend of tourism hot spots.

• Journal of Hydrogen and New Energy
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• v.23 no.3
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• pp.207-212
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• 2012

This study was performed to observe the change of stainless steel pipe interacting with alkaline solution. We used STS316L and STS304 as samples which were soaked in alkaline solution. We measured the samples by use of FE-SEM, EDX, SIMS to observe the surface and depth profile of both samples. The result showed that the precipitate appeared on the surface of both samples from 5 days. but the precipitate was confirmed to be decreased as time passes. but the quantitative change of precipitates at both samples was different as time passed. The EDX showed that the precipitate is Potassium from solution of Electrolysis. The result also showed that the primary elements of stainless steel pipeline and of Alkaline Solution were changed. The change of primary elements was severe between 5 days to 16 days and was stable around 40 days at both samples. The reaction of STS316L with alkaline solution was lower than STS304. We hoped that this study would be the foundation of developing the electrode of the alkaline hydrogen generator.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.129-136
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• 2020

The purpose of this study is to identify the influence of external-social and cultural factors on the perception of corruption in the public society through the Structural Equation Model(SEM) and to seek ways to reduce corruption in the public society. Currently the level of corruption in public sectors that people think is still large, and it is necessary to continuously reduce corruption in public sectors in order to improve national competitiveness. Since one society is a part of a country in system theory and social network theory, public society needs quantitative research in order to find the causes of corruption and solve them. The model was built and the variables were defined in SEM based on 600 questionnaires. As a result of analysis, corruption in public offices has decreased since the implementation of the solicitation and graft law, and socio-cultural factors have had a direct impact on corruption in public offices. The further research area is to seek detailed ways for transforming the education and awareness of civil society across the country in addition to the efforts of the public officials themselves in order to reduce corruption in public offices.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.45-50
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• 2019

This research analyzed that what factors affect to the change of social positioning of 'multi-cultural family(MCF)' centered on 'multi-cultural family in Jecheon City using Social Construction. The purpose of this research analyze the social positioning of MCF in Jecheon City, policy design depending on that social positioning and the effect of social perception. Therefore, this research carried out qualitative analysis method that analyzed news articles, legislations and interviews from 1990 to 2013 based on social construction theory. For the purpose, first, the time scope could be divided into four periods such as 'the quickening period in 1990s', 'quantitative growth period from 2000 to 2005', 'qualitative growth period from 2006 to 2011', 'the period of antagonism after 2012' of MCF.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.299-307
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• 2019

In this study, we experimented with experience of digital signage using Virtual Reality technology, and the difference between presence and interactivity in brand experience and digital signage attitude. We conducted a two-way MANOVA analysis with cognitive presence, emotional presence, and media presence as the independent variable and interactivity level(high vs low) as dependent variables and the brand experience and attitude as dependent variables. First, cognitive presence was found to be most effective through behavioral experience when low interactivity. Second, emotional presence also has a positive effect on emotional experience when the level of interactivity is low. Third, media presence has a positive effect on emotional experience if the level of interactivity is low. This study suggests a communication strategy to communicate presence according to the characteristics of media strategy and technology through appropriate level of interactivity when using digital technology. Future research requires a qualitative approach rather than a quantitative one in terms of interactivity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.221-227
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• 2021

Recently, interests in mask-type skin care devices using light-emitting diodes have been increasing and optical stimuli at certain wavelengths have been known to have various therapeutic effects, such as skin whitening, acne treatment, elasticity and wrinkle improvement by controlling the exposure to wavelengths of light and irradiation time. In particular, light sources of different wavelengths are applied in masks for the purpose of suppressing skin aging, inducing cell proliferation, and alleviating skin inflammation. In this paper, we developed a light-emitting diode control system that is actively used in skin regeneration masks using a microcontroller. Optical stimuli with different manners were applied to skin fibroblast cells in a single or complex wavelengths, and then confirmed how they are effective in the cell differentiation. In addition, we found a specific wavelength that has a positive effect on cell proliferation rates, and confirm the effectiveness of cell proliferation by image processing based quantitative analysis.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.171-181
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• 2022

The real estate price index plays key roles as quantitative data in real estate market analysis. International organizations including OECD publish the real estate price indexes by country, and the Korea Real Estate Board announces metropolitan-level and municipal-level indexes. However, when the index is set on the smaller spatial unit level than metropolitan and municipal-level, problems occur: missing values. As the spatial scope is narrowed down, there are cases where there are few or no transactions depending on the unit period, which lead index calculation difficult or even impossible. This study suggests a supervised learning-based machine learning model to compensate for missing values that may occur due to no transaction in a specific range and period. The models proposed in our research verify the accuracy of predicting the existing values and missing values.