• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.24 no.3
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• pp.439-447
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• 2019

Some dynamical issues about the Tsushima Warm Current (TWC) are reviewed and checked for the remaining unresolved problems, focusing on the formation of the TWC, seasonal variation of its volume transport and its branching in the East Sea. The TWC is a part of the North Pacific (NP) subtropical gyre driven by the NP global wind system. However, the quantitative amount of volume transport is sensitive to friction, basin geometry, barrier effect and so on. Among many causes suggested by many scientists, subpolar winds are found to be most closely related with the seasonal variation of TWC volume transport. However, more studies relating the latter not only to the subpolar winds but also to those including the subtropical winds seem to be required. The branching of the TWC has been known to be due to the western intensification for the East Korean Warm Current (EKWC) and to the bottom trapping for the Nearshore Branch. Since the former hypothesis is problematic in explaining the seasonal variation of the EKWC, other candidate mechanisms may need to be considered.

• The Southeast Asian review
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• v.28 no.2
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• pp.147-179
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• 2018

Basuki Tjahaja Purnama, Jakarta's Ex-Governor, lost his re-election bid in 2017 and then was jailed on a charge of blasphemy. After his defeat, the rhetorics of Indonesian politics was divided into two opposing sides: anti-Communism and 'pribumi' of the radical Islamic movements and Pancasila of the Jokowi administration. Although Islamic political parties are now preoccupied with their own coalitional politics and survivals, rather than solidarity of Islamic forces, the rising Islamic sentiments confirmed by the Jakarta election indicate that religion will continue to be a key variable in Indonesian politics. Meanwhile, ex-military generals who declared themselves as candidates in the 2018 regional election and the 2019 presidential election, as well as a few measures used by the Jokowi administration against extra-parliamentary political opponents, remind us of Suharto's New Order. Steady growth continues in economy. The raise of minimum wage enlarged middle classes and led to a decline of the poverty rate. Jokowi's commitment to building infrastructure has made tangible achievements. Under these circumstances, enhanced cooperation between Indonesia and South Korea is laudable, though any such cooperation must fully incorporate local sociocultural contexts, such as the strengthened halal certification system.

• The Southeast Asian review
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• v.27 no.2
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• pp.213-243
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• 2017

In the first half of 2016, Indonesian President Joko "Jokowi" Widodo continued his efforts to secure support from major political parties, often benefiting from internal party conflicts. During the tense campaign for the 2017 Jakarta gubernational election, however, blasphemy charges against incumbent "Ahok", an ethnic Chinese and Christian, put Jokowi in trouble. Led by radical Islamic organizations such as Front Pembela Islam (FPI), half a million people filled Jakarta's streets, calling for Ahok's arrest. The resurgence of identity politics questioned the boundaries of the Indonesian nation and its core premises on the relationship between religion and the state. In the realm of foreign policies, the Jokowi administration maintained its tougher stance against illegal fishing in its waters. In spite of Indonesia's clashes with Chinese vessels in the Natuna sea, however, it is unlikely that the tension will escalate uncontrollably, as the Jokowi administration is seeking investment from rich neighbors for building infrastructure, which will be his key legacy for the 2019 presidential election.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.2
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• pp.5-24
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• 2021

This study suggested a plan to convert the modern literary data service of the National Library of Korea into linked data-based services. This is not to simply convert the modern literary data service into linked data, which is the current technological trend. This is to create high-quality source data capable of automated machine processing with continuous connection with various external data and information sources in the long term. To this end, in order to revitalize the service of modern literature and to solve the efficient data linkage with related institutions, various overseas library and bibliographic service cases that adopted linked data were first reviewed to draw implications. In addition, based on the reviewed implications, the plan to reorganize the modern literary service in terms of data management, system management, and user service was described in detail.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.551-563
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• 2022

This study aims to identify the effect on the user experiences when the embodied agent in a self-driving car interacts with emotional expressions by using 'interjection'. An experimental study was designed with two conditions: the inclusion of injections in the agent's conversation feedbacks (with interjections vs. without interjections) and the type of conversation (task-oriented conversation vs. social-oriented conversation). The online experiment was conducted with the four video clips of conversation scenario treatments and measured intimacy, likability, trust, social presence, perceived anthropomorphism, and future intention to use. The result showed that when the agent used interjection, the main effect on social presence was found in both conversation types. When the agent did not use interjection in the task-oriented conversation, trust and future intention to use were higher than when the agent talked with emotional expressions. In the context of the conversation with the AI agent in a self-driving car, we found only the effect of adding emotional expression by using interjection on the enhancing social presence, but no effect on the other user experience factors.

• Journal of Korean Academy of Nursing
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• v.52 no.1
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• pp.80-91
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• 2022

Purpose: This study aimed to identify relationships among knowledge and skills about suicide prevention, attitudes toward suicide, and burnout of suicide prevention work of nurses at mental health welfare centers. Methods: An explanatory sequential mixed-method research was conducted. For the quantitative study, the subjects (nurses) were 133 nurses executing suicide prevention work. The data were analyzed using the SPSS 25.0 program. For the qualitative research, 13 nurses with high burnout scores were interviewed. The data were analyzed using theme analysis method. Results: Quantitative results showed the average burnout of suicide prevention work was 54.62 ± 12.51. The burnout of suicide prevention work had significant correlations with attitudes toward suicide (r = .30, p < .001) and suicide prevention skills (r = - .18, p = .037). Qualitative results showed six themes related to burnout of suicide prevention work. They were 'feeling a lack of confidence in one's suicide counselling skills', 'feeling of the limits of one's ability to cope with a suicide crisis', 'feeling regret for not being able to help the clients', 'being over-empathetic to the clients', 'Not being able to understand the clients because the subjects (nurses) opposes committing suicide', and 'thinking that the suicidal thoughts of suicide attempters do not improve'. Conclusion: To reduce burnout of nurses' suicide prevention work at mental health welfare centers, there is a need to develop an educational program considering nurses' attitudes toward suicide and one to enhance their confidence in suicide prevention skills.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.195-211
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• 2014

Cloud computing services provide IT resources as services on demand. This is considered a key concept, which will lead a shift from an ownership-based paradigm to a new pay-for-use paradigm, which can reduce the fixed cost for IT resources, and improve flexibility and scalability. As IT services, cloud services have evolved from early similar computing concepts such as network computing, utility computing, server-based computing, and grid computing. So research into cloud computing is highly related to and combined with various relevant computing research areas. To seek promising research issues and topics in cloud computing, it is necessary to understand the research trends in cloud computing more comprehensively. In this study, we collect bibliographic information and citation information for cloud computing related research papers published in major international journals from 1994 to 2012, and analyzes macroscopic trends and network changes to citation relationships among papers and the co-occurrence relationships of key words by utilizing social network analysis measures. Through the analysis, we can identify the relationships and connections among research topics in cloud computing related areas, and highlight new potential research topics. In addition, we visualize dynamic changes of research topics relating to cloud computing using a proposed cloud computing "research trend map." A research trend map visualizes positions of research topics in two-dimensional space. Frequencies of key words (X-axis) and the rates of increase in the degree centrality of key words (Y-axis) are used as the two dimensions of the research trend map. Based on the values of the two dimensions, the two dimensional space of a research map is divided into four areas: maturation, growth, promising, and decline. An area with high keyword frequency, but low rates of increase of degree centrality is defined as a mature technology area; the area where both keyword frequency and the increase rate of degree centrality are high is defined as a growth technology area; the area where the keyword frequency is low, but the rate of increase in the degree centrality is high is defined as a promising technology area; and the area where both keyword frequency and the rate of degree centrality are low is defined as a declining technology area. Based on this method, cloud computing research trend maps make it possible to easily grasp the main research trends in cloud computing, and to explain the evolution of research topics. According to the results of an analysis of citation relationships, research papers on security, distributed processing, and optical networking for cloud computing are on the top based on the page-rank measure. From the analysis of key words in research papers, cloud computing and grid computing showed high centrality in 2009, and key words dealing with main elemental technologies such as data outsourcing, error detection methods, and infrastructure construction showed high centrality in 2010~2011. In 2012, security, virtualization, and resource management showed high centrality. Moreover, it was found that the interest in the technical issues of cloud computing increases gradually. From annual cloud computing research trend maps, it was verified that security is located in the promising area, virtualization has moved from the promising area to the growth area, and grid computing and distributed system has moved to the declining area. The study results indicate that distributed systems and grid computing received a lot of attention as similar computing paradigms in the early stage of cloud computing research. The early stage of cloud computing was a period focused on understanding and investigating cloud computing as an emergent technology, linking to relevant established computing concepts. After the early stage, security and virtualization technologies became main issues in cloud computing, which is reflected in the movement of security and virtualization technologies from the promising area to the growth area in the cloud computing research trend maps. Moreover, this study revealed that current research in cloud computing has rapidly transferred from a focus on technical issues to for a focus on application issues, such as SLAs (Service Level Agreements).

• Journal of the Korean Society for information Management
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• v.33 no.3
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• pp.63-83
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• 2016

As the usage of information resources produced in various media and forms has been increased, the importance of metadata as a tool of information organization to describe the information resources becomes increasingly crucial. The purposes of this study are to analyze and to demonstrate the intellectual structure in the field of metadata through co-word analysis. The data set was collected from the journals which were registered in the Core collection of Web of Science citation database during the period from January 1, 1998 to July 8, 2016. Among them, the bibliographic data from 727 journals was collected using Topic category search with the query word 'metadata'. From 727 journal articles, 410 journals with author keywords were selected and after data preprocessing, 1,137 author keywords were extracted. Finally, a total of 37 final keywords which had more than 6 frequency were selected for analysis. In order to demonstrate the intellectual structure of metadata field, network analysis was conducted. As a result, 2 domains and 9 clusters were derived, and intellectual relations among keywords from metadata field were visualized, and proposed keywords with high global centrality and local centrality. Six clusters from cluster analysis were shown in the map of multidimensional scaling, and the knowledge structure was proposed based on the correlations among each keywords. The results of this study are expected to help to understand the intellectual structure of metadata field through visualization and to guide directions in new approaches of metadata related studies.

• Journal of Korea Technology Innovation Society
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• v.10 no.2
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• pp.230-254
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• 2007

Scientometrics means the metrics of science, and it plays a role in the measurement of scientists' activities by using research results like papers. Objective numerical values or indicators obtained by scientometric analysis may make a significant contribution to correct evaluation by excluding political or relationship bias or revealing significant researchers or their research fields that have been assessed relatively lower for their performance. In the period when the scale of technology was relatively large, such as for the development of heavy chemistry, it was possible to make a not-bad selection by an assessment made only with the intuition of the assessor. However, it is nearly impossible for experts with a narrow knowledge in a field to judge the direction of change correctly as the current science technology changes rapidly and tremendously. Even in an assessment of research performance of researchers or research institutions, only some notable researchers are able to attract attention owing to the Metthew effect, and the majority who have accumulated research results in depth are not able to receive reasonable research funding. Therefore, it might be natural that there is a growing need for assessment using scientometrics. The purpose of this research is to suggest some applicable scientometric techniques for an assessment of research performance to science and technology researchers and policy planners. In order to accomplish this, we used a frequency analysis of papers and its citations to assess the research performance of researchers, institutions, and countries for OLED technology as a case study. Furthermore, we position detailed technologies for OLED technology as arriving, growing, maturing, and declining technology by utilizing several network analysis techniques, make groups with researchers and institutions of same research interest. And we review the current international joint research of Korea, China, and Japan, who are in a competitive relationship. Also, at the end of each analysis result, we describe what kind of assessment should be available to Korean policy planners and research managers for such scientometric analysis results.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.50 no.6
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• pp.453-456
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• 2005

This study was carried out to select DNA markers closely linked to brown planthopper (BPH) resistance gene originated from a rice cultivar 'Cheongcheong­byeo'. For the mapping of resistant gene to BPH, a doubled-haploid (DH) population was developed by anther culture of $F_1$ plants from a cross 'Cheongcheong­byeo/Nagdongbyeo'. In BPH bioassay and marker screen­ing for the DH population, the segregation of resistant and susceptible plants to BPH fitted to a 1:1 ratio. A total of 310 RAPDs of 520 markers showed polymorphism in parental survey using 'Cheongcheongbyeo' and 'Nag­dongbyeo'. In the analysis of relationship between BPH resistance and marker pattern for 40 DH lines, the OPE16 produced a specific dominant fragment, 700 bp, which was closely linked with BPH resistance gene of 'Cheong­cheongbyeo'. Based on the linkage analysis using 7 markers, BPH resistance of 'Cheongcheongbyeo' was mapped on chromosome 12, which was closely linked with $OPE16_{700}$ at a distance of 4.6 cM.