• Health Policy and Management
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• v.32 no.2
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• pp.228-236
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• 2022

The aim of this study was updating suicide-related indicators, including the number of suicidal deaths, suicide rate, and the prevalence of suicidal ideation and suicide attempts. We observed trends in suicide-related indicators based on up-to-date information. This study used five data sources to evaluate the trends of suicide-related indicators: Statistics Korea (1983-2020), Korean Wealth Panel Study (KOWEPS, 2012-2020), and Korea Health Panel Survey (KHP, 2010-2013, 2016-2018), Korean National Health and Nutrition Examination (KNHANES, 2007-2013, 2015-2020), and Korean Community Health Survey (KCHS, 2008-2009, 2013, 2017). The suicide rate per 100,000 population decrease from 26.9 in 2019 to 25.7 in 2020. Based on recently available data, the rates of suicidal ideation were 1.48% (KOWEPS, 2020), 2.61% (KHP, 2018), 4.62% (KNHANES, 2019), and 6.96% (KCHS, 2017). Those of suicide attempt as were 0.07% (KOWEPS, 2020), 0.44% (KNHANES, 2020), and 0.32% (KCHS, 2017). Annual percentage change (APC) of suicide rate was -1.87% (Statistics Korea, 2011-2020). APC of suicidal ideation was -10.7% (KOWEPS, 2012-2020), -11.5% (KHP, 2010-2013, 2016-2018), -14.7% (KNHANES, 2007-2013, 2015, 2017, 2019), and -2.5% (KCHS, 2008-2009, 2013, 2017). APC of suicide attempt was -11.3% (KOWEPS, 2012-2019), -5.2% (KNHANES, 2007-2013, 2015-2020), and -4.4% (KCHS, 2008-2009, 2013, 2017). Although the suicide rate in Korea has decreased compared to 10 years ago, it is still at a high level. Thus, continuous observation and appropriate suicide prevention policies are needed.

• Journal of Research and Publication Ethics
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• v.1 no.2
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• pp.15-20
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• 2020

Purpose: The purpose of this paper is to examine the ethical considerations that must be addressed in journals and discern the strategies that will elevate the quality of the journals. Research design, data, and methodology: This study utilized the past studies that were conducted in this field. Examples of journals were used to mark some of the key features of reputable journals, as well as the guidelines for KODISA. Results: This study has showed the importance of ethical considerations in journals for the best interests of the scholars and journal community as a whole. A clear set of outlines makes the journal a place for scholars to share their knowledge, as well as elevate the journal into a good standing in the academic world. Some of the key strategies in improving KODISA include inviting notable members of a field to share their knowledge and encouraging more scholars to contribute to this network. Conclusion: KODISA has a strong set of ethical considerations for the scholars that publish in their journals and will continue to improve its quality for the future. It includes improving its strategies and keeping up to date with the trends in the current field of discipline.

• International Journal of High-Rise Buildings
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• v.10 no.4
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• pp.251-263
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• 2021

Fire safety engineering is a critical specialization to include in the design of a tall building yet is often excluded from the Building Information Model (BIM) and integrated design process. The design of fire safety systems is interdependent with building/structural geometry, HVAC, mechanical, and electrical systems. A BIM is a 3D visual representation that stores data on these kinds of systems. The compatibility between BIM and fire safety design seems obvious yet has received a dearth of attention in structural (fire) engineering literature. The authors herein have reviewed over 40 recent papers on utilizing BIM for fire safety engineering, focusing on contemporary literature to obtain a more up-to-date review of the state-of-the-art. The resulting trends, technologies, research gaps, and methodologies are presented in this paper. Adoption of BIM in fire safety engineering is slow and behind other disciplines which may be improved if research involved more industry partners. For BIM technology to reach its potential, industry manufacturers need to provide high LOD fire BIM objects, fire engineers and researchers need to collaborate on future advancements, and building owners/management need to be educated on how to use the benefits provided.

• Journal of Preventive Medicine and Public Health
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• v.40 no.2
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• pp.185-190
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• 2007

Objectives : Since the first human infection from avian influenza was reported in Hong Kong in 1997, many Asian countries have confirmed outbreaks of highly pathogenic H5N1 avian influenza viruses. In addition to Asian countries, the EU authorities also held an urgent meeting in February 2006 at which it was agreed that Europe could also become the next target for H5N1 avian influenza in the near future. In this paper, we provide the general and applicable information on the avian influenza in the bioinformatics field to assist future studies in preventive medicine. Methods : We introduced some up-to-date analytical tools in bioinformatics research, and discussed the current trends of avian influenza outbreaks. Among the bioinformatics methods, we focused our interests on two topics: pattern analysis using the secondary database of avian influenza, and structural analysis using the molecular dynamics simulations in vaccine design. Results : Use of the public genome databases available in the bioinformatics field enabled intensive analysis of the genetic patterns. Moreover, molecular dynamic simulations have also undergone remarkable development on the basis of the high performance supercomputing infrastructure these days. Conclusions : The bioinformatics techniques we introduced in this study may be useful in preventive medicine, especially in vaccine and drug discovery.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.4
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• pp.549-566
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• 2022

Recently, artificial intelligence (AI) technology has progressed rapidly, and industries using this technology are significantly increasing. Further, analysis research using text mining, which is an application of artificial intelligence, is being actively developed in the field of social science research. About 125 laws, including joint laws, have been enacted under the Ministry of Oceans and Fisheries in various sectors including marine environment, fisheries, ships, fishing villages, ports, etc. Research on the laws under the Ministry of Oceans and Fisheries has been progressively conducted, and is steadily increasing quantitatively. In this study, the domestic research trends were analyzed through text mining, targeting the research papers related to laws of the Ministry of Oceans and Fisheries. As part of this research method, first, topic modeling which is a type of text mining was performed to identify potential topics. Second, co-occurrence network analysis was performed, focusing on the keywords in the research papers dealing with specific laws to derive the key themes covered. Finally, author network analysis was performed to explore social networks among authors. The results showed that key topics have been changed by period, and subjects were explored by targeting Ship Safety Law, Marine Environment Management Law, Fisheries Law, etc. Furthermore, in this study, core researchers were selected based on author network analysis, and the tendency for joint research performed by authors was identified. Through this study, changes in the topics for research related to the laws of the Ministry of Oceans and Fisheries were identified up to date, and it is expected that future research topics will be further diversified, and there will be growth of quantitative and qualitative research in the field of oceans and fisheries.

• The Research Journal of the Costume Culture
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• v.27 no.6
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• pp.654-665
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• 2019

The process of clothing production creates waste and scrap, which creates environmental, economic, and ethical issues. With this in mind the concept of ethical and sustainable fashion is discussed on many platforms as an important and timely topic. Many solutions have been presented on this subject. For the solution of this problem which has been increasing in the fashion and textile industry, the usage of sustainable materials and production methods is needed. There in a 'recyclable material cycle' should be adapted, instead of a 'traditional material cycle'. New methods and techniques should be developed with multi-disciplinary design approaches to produce creative and high value-added products in the name of fashion and sustainability. This is seen as one of the more effective solutions. This study aims to show that production scraps can be transformed into timely clothing designs with samples. The fabric scraps from different brands were turned into unique clothing designs with up to date trends by designer. In the practices completed while following the design process, collage and patchwork techniques were applied depending on the characteristics of the scrap fabric, artistic figures were hand-stitched onto the design. With this study, the scraps that get thrown into dumping grounds and damage the ecosystem can turn into ethical and economic benefits for the manufacturer. How to choose new high value-added products and create an awareness of social responsibility is also shown with examples in this study.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.11a
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• pp.406-411
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• 2003

One of the trends on information storage device is focused on the development of micro-optical devices with OFH (Optical Flying Head). Many different types of sliders for OFH and optical component systems have been introduced in the literature. However, the important issue on the mechanical system, which consists of suspension, swing arm and VCM (Voice Coil Motor) part has not been discussed up to date. In this research, we analyses the suspension, which is used for the small form factor MO drive. The analysis is in process two ways. One is probabilistic analysis, another is dynamic shock analysis. Probabilistic analysis is a technique you can use to assess the effect of uncertain input parameters and assumptions on your analysis model. Using a probabilistic analysis you can and out how much the results of a finite elements analysis are affected by uncertainties in the model. Dynamic shock analysis is used for the mobile applications. The mechanical robustness of the suspension simulating the shock responses of a disk-suspension is proposed in this paper.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.143-159
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• 2015

Predicting IT trends has been a long and important subject for information systems research. IT trend prediction makes it possible to acknowledge emerging eras of innovation and allocate budgets to prepare against rapidly changing technological trends. Towards the end of each year, various domestic and global organizations predict and announce IT trends for the following year. For example, Gartner Predicts 10 top IT trend during the next year, and these predictions affect IT and industry leaders and organization's basic assumptions about technology and the future of IT, but the accuracy of these reports are difficult to verify. Social media data can be useful tool to verify the accuracy. As social media services have gained in popularity, it is used in a variety of ways, from posting about personal daily life to keeping up to date with news and trends. In the recent years, rates of social media activity in Korea have reached unprecedented levels. Hundreds of millions of users now participate in online social networks and communicate with colleague and friends their opinions and thoughts. In particular, Twitter is currently the major micro blog service, it has an important function named 'tweets' which is to report their current thoughts and actions, comments on news and engage in discussions. For an analysis on IT trends, we chose Tweet data because not only it produces massive unstructured textual data in real time but also it serves as an influential channel for opinion leading on technology. Previous studies found that the tweet data provides useful information and detects the trend of society effectively, these studies also identifies that Twitter can track the issue faster than the other media, newspapers. Therefore, this study investigates how frequently the predicted IT trends for the following year announced by public organizations are mentioned on social network services like Twitter. IT trend predictions for 2013, announced near the end of 2012 from two domestic organizations, the National IT Industry Promotion Agency (NIPA) and the National Information Society Agency (NIA), were used as a basis for this research. The present study analyzes the Twitter data generated from Seoul (Korea) compared with the predictions of the two organizations to analyze the differences. Thus, Twitter data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. To overcome these challenges, we used SAS IRS (Information Retrieval Studio) developed by SAS to capture the trend in real-time processing big stream datasets of Twitter. The system offers a framework for crawling, normalizing, analyzing, indexing and searching tweet data. As a result, we have crawled the entire Twitter sphere in Seoul area and obtained 21,589 tweets in 2013 to review how frequently the IT trend topics announced by the two organizations were mentioned by the people in Seoul. The results shows that most IT trend predicted by NIPA and NIA were all frequently mentioned in Twitter except some topics such as 'new types of security threat', 'green IT', 'next generation semiconductor' since these topics non generalized compound words so they can be mentioned in Twitter with other words. To answer whether the IT trend tweets from Korea is related to the following year's IT trends in real world, we compared Twitter's trending topics with those in Nara Market, Korea's online e-Procurement system which is a nationwide web-based procurement system, dealing with whole procurement process of all public organizations in Korea. The correlation analysis show that Tweet frequencies on IT trending topics predicted by NIPA and NIA are significantly correlated with frequencies on IT topics mentioned in project announcements by Nara market in 2012 and 2013. The main contribution of our research can be found in the following aspects: i) the IT topic predictions announced by NIPA and NIA can provide an effective guideline to IT professionals and researchers in Korea who are looking for verified IT topic trends in the following topic, ii) researchers can use Twitter to get some useful ideas to detect and predict dynamic trends of technological and social issues.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.4
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• pp.341-359
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• 2019

To improve research productivity, it is important to acquire up-to-date information quickly. To this end, researchers seek information resources through various channels and methods and utilize them in their research and development processes. The Korea Institute of Science and Technology Information (KISTI) has developed a platform for integrated scientific and scientific information service called ScienceOn to provide specialized information, infrastructure resources, industry and technology analysis resources in one place to support the research and information ecosystem. Through this process, accessibility and usability are enhanced through the connection and convergence of various information and services. In this study, we look at recent R&D trends in scientific technology academic information integration services and recommended packaging services that can be utilized in batches according to the purpose of use. We look forward to improving national R&D productivity by strengthening the linkage and convergence of scientific and technological information.

• Fashion & Textile Research Journal
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• v.19 no.4
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• pp.448-467
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• 2017

Attention to living lifestyle shops covering with the wide product range including household items, interior decoration, and bedding have recently increased since consumers have been improving their standard of living and income levels and they are getting more interested in up-to-date trends of global living lifestyles. The purpose of this study is first, to analyze the market situation of living lifestyle shops using the case study method and second, to investigate consumer's store usage behavior, product purchase motives, and attitudes to the living lifestyle shops using the empirical study method. For an empirical study, the survey was conducted with 20s to 50s female respondents who have visited living lifestyle shops and a total of 227 responses were analyzed using SPSS 18.0. The results of this study were as follows. The most frequently visit store was MUJI and most of respondents tended to visit the store once a month and their interest and purchase items were household items. Only impulsive purchase motives among other motives of living lifestyle shops, such as others-oriented, situational, and reasonable motives, significantly had a positive effect on store attitudes toward living lifestyle shops. There were differences in purchasing items at living lifestyle shops depending on marriage status and occupation. Purchase motives of living lifestyle products were statistically influenced by demographic factors such as age, marriage status and income level, however store attitudes were not. The managerial implications for living lifestyle shops are discussed limitations and areas for future research as well.