• Safety and Health at Work
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• v.8 no.4
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• pp.398-401
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• 2017

Background: Organizational ostracism is defined as a violation of norms that we are suggested to acknowledge at the workplace. It results in the exclusion of one person or multiple persons, and causes damage to our innate need to belong. This kind of behaviorism can be engaged through a hierarchical or nonhierarchical relationship. Three elements interact in the framework of organizational ostracism: the actor, the target, and the institution. Our aim was to describe the different factors interacting with every element in order to produce recommendations targeting to prevent the occurrence of such behaviorism in an institution and to help targets of such a violence in order to handle this situation and go forward. As psychological impact of ostracism has frequently been studied in the literature, we focused on its impact on professional tasks. Methods: We performed a questionnaire-based study about organizational ostracism. This questionnaire was established through an online platform (https://www.sondageonline.com) and made available through the following link: https://goo.gl/forms/KrkVXe3bMEc79cau2. A keyword was sent to all participants. We created a 23-interrogation questionnaire with open and short questions. Nonwritten consent was obtained from all participants. Results: The actor of ostracism engaged in ostracism, in most of the cases, with other persons without a real purpose. The actor of ostracism had an antecedent of problematic relationship at work in 82.9% of the cases. Of the participants, 58.5% were of the view that ostracism aimed to cause hurt and isolate them. Professional isolation was observed in 58.5% of the cases; 51.2% of the participants tried to improve their work potential and explained their reaction by an intrinsic motivation. The organization atmosphere was judged to be bad in most of the cases. Conclusion: Our study showed that ostracism was mainly observed in public practice.

• Archives of Plastic Surgery
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• v.47 no.1
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• pp.3-8
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• 2020

Genital lymphedema (GL) is an uncommon and disabling disease that manifests as enlargement of the genital region resulting from the disturbance of lymphatic drainage. Although conservative treatment such as decompression is typically the first-line approach, surgical intervention has been shown to be effective in certain cases. This study aimed to systematically review studies evaluating available surgical alternatives for the treatment of male GL. A systematic search strategy using keyword and subject headings was applied to PubMed, Scopus, EMBASE, and Cochrane Library in May 2019. Studies investigating various surgical techniques to treat penile and scrotal lymphedema were included. The potential risk of bias of included trials was evaluated using the methodological index for non-randomized studies (MINORS). In total, 13 studies met the inclusion criteria, nine of which were determined to be high-quality. The average MINORS score was 12.45 for studies involving excision and 14 for studies involving lymphovenous anastomosis (LVA). The most common reason for a low score was a failure to describe the inclusion criteria. Recurrence of lymphedema during follow-up was reported in four studies involving excision and in no studies involving LVA. In general, the quality of the included literature was considered to be fair. Although surgical intervention might not always prevent the recurrence of lymphedema, all of the studies reported improved quality of life after the procedure. This study could be used as the basis for evidence-based guidelines to be applied in clinical practice for managing male GL.

• Korean Journal of Acupuncture
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• v.22 no.1
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• pp.133-150
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• 2005

Objective : The purpose of this study is to examine the tendency of experimental studies on the physiological effects of acupuncture at $ST_{36}$(Zusanli). Methods : We investigated 69 theses (10 Korean and 59 international) which were searched by the keyword 'Zusanli' through PubMed website, and that were experimented with manual acupuncture or electroacupuncture on healthy human subjects or normal animals. Results : The 69 theses were classified into iou groups based on the main topic which is related with the influence of acupuncture stimulation at $ST_{36}$(Zusanli), such as digestive system, nervous system, immune system, and cardiovascular system. The main results found in this study are : 1. Acupuncture at $ST_{36}$(Zusanli) increases gastric mobility. And such effect is related with vagal nerve and opioid pathway. 2. Acupuncture at $ST_{36}$(Zusanli) is valuably related with cerebral cortex. And it influences on the cerebrum activities. 3. Acupuncture at $ST_{36}$(Zusanli) has noticeable analgesic effect, which is related with Opioid mechanism, Gate control and SP 4. Acupuncture at $ST_{36}$(Zusanli) increases immunity Conclusion . Acupuncture at $ST_{36}$(Zusanli) has many effects on digestive system, nervous system, immune system, and cardiovascular system.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.183-188
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• 2020

This study is primarily aimed at providing a foundation for academic development and the leap forward of the Special Security Industry through the press report analysis on Korea's special security guard using big data. The research methods It was analyzed by the research methods in relation to keyword trends for 'special security guard' and 'special guards' using the Big Kinds program. According to the analysis based on the period of growth (quantitative and qualitative) of the special security industry, there were many press reports and exposure related to carrying firearms, national major facilities, and regular employees. Unlike the general security guards, the special security guards were released higher by media as a law was revised to allow them to carry or use firearms at important national facilities. There was a lot of media attention concerned about the side effects of misuse, and there were also high media reports on the transition of regular workers to improve poor treatment, such as the unstable status of special security guards and low wages. Therefore, the need for continuous development and improvement of professionalism and work efficiency of special security services are emphasized.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.4
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• pp.373-397
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• 2019

Recent disasters are a complex and growing trend. In order to effectively prepare for and respond to disasters that occur without notice, it is very important to use scientific information related to disaster and safety in addition to the standardized disaster safety information that is used. In this paper, we searched and selected major journals in the field of disaster & safety and conducted various network analysis studies using the classification scheme for development of integrated metadata for disaster & safety information developed through Disaster & Safety Information Sharing Platform R&D project as well as KSCD. Also, we have constructed and analyzed citation network, co-authorship network and keyword network through data identification and preprocessing of research paper contents. As a result of this study, based on the network constructed by information analysis unit, the network structure between core domestic and foreign journals, major research institutes, core keywords and individual information by disaster & safety type was identified in detail, and the analysis results were presented on a case-by-case basis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1199-1205
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• 2021

In the era of big data, not only structured data well organized in databases, but also the Internet, social network services, it is very important to effectively analyze unstructured big data such as web documents, e-mails, and social data generated in real time in mobile environment. Big data analysis is the process of creating new value by discovering meaningful new correlations, patterns, and trends in big data stored in data storage. We intend to summarize and visualize the analysis results through frequency analysis of unstructured article data using R language, a big data analysis tool. The data used in this study was analyzed for total 104 papers in the Mon-May 2021 among the journals of the Korea Institute of Information and Communication Engineering. In the final analysis results, the most frequently mentioned keyword was "Data", which ranked first 1,538 times. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

• The Journal of Information Systems
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• v.30 no.1
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• pp.123-149
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• 2021

Purpose The purpose of this study is to define the anti-ESG activities of companies recognized by media by reflecting ESG recently attracted attention. This study extracts keywords for ESG controversies through association rule mining. Design/methodology/approach A research framework is designed to extract keywords for ESG controversies as follows: 1) From DeepSearch DB, we collect 23,837 articles on anti-ESG activities exposed to 130 media from 2013 to 2018 of 294 listed companies with ESG ratings 2) We set keywords related to environment, social, and governance, and delete or merge them with other keywords based on the support, confidence, and lift derived from association rule mining. 3) We illustrate the importance of keywords and the relevance between keywords through density, degree centrality, and closeness centrality on network analysis. Findings We identify a total of 26 keywords for ESG controversies. 'Gapjil' records the highest frequency, followed by 'corruption', 'bribery', and 'collusion'. Out of the 26 keywords, 16 are related to governance, 8 to social, and 2 to environment. The keywords ranked high are mostly related to the responsibility of shareholders within corporate governance. ESG controversies associated with social issues are often related to unfair trade. As a result of confidence analysis, the keywords related to social and governance are clustered and the probability of mutual occurrence between keywords is high within each group. In particular, in the case of "owner's arrest", it is caused by "bribery" and "misappropriation" with an 80% confidence level. The result of network analysis shows that 'corruption' is located in the center, which is the most likely to occur alone, and is highly related to 'breach of duty', 'embezzlement', and 'bribery'.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.197-206
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• 2019

The purpose of this study is to identify trends of academic research on senior employment projects. For this aim, research results were collected from keyword searches utilizing academic search engines, and a total of 133 research studies were selected as analysis subjects. Then, we analyzed research trends such as sources, research themes, research methods, and research subjects using the content analysis method,. According to the results, the leading type of senior employment research was quantitative research that confirmed the effects of projects by targeting the elderly participants. On the other hand, there were relatively few cases in which philosophical and ethical reviews were used to understand the labor and social roles of the elderly in connection with senior employment projects. Based on these research trends, this study criticized the situation where not only a variety of main participants but also the elderly taking part in the senior employment project were excluded from the main concern of research and suggested that it was necessary for follow-up studies to emerge from these trends.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.39-45
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• 2018

Twitter users use 'Following', 'Retweet' and so on to find tweets that they are interested in. However, it is difficult for users to find tweets that are of interest to them on Twitter, which has more than 300 million users. In this paper, we developed a customized tweet recommendation system to resolve it. First, we gather current trends to collect tweets that are worth recommending to users and popular tweets that talk about trends. Later, to analyze users and recommend customized tweets, the users' tweets and the collected tweets are categorized. Finally, using Web service, we recommend tweets that match with user categorization and users whose interests match. Consequentially, we recommended 67.2% of proper tweet.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1393-1399
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• 2018

Companies that use a variety of software use patch management systems provided by security vendor to manage security vulnerabilities of software to improve security. System administrators monitor the vendor sites that provide new patch information to maintain the latest software versions, but it takes a lot of cost and monitoring time to find and collect patch information because the patch cycle is irregular and the structure of web page is different. In order to reduce this, studies to automate patch information collection based on keyword or web service have been conducted, but since the structure to provide patch information in vendor site is not standardized, it was applicable only to specific vendor site. In this paper, we propose a system that automates the collection of patch information by analyzing the structure and characteristics of the vendor site providing patch information and using web crawler to reduce the cost and monitoring time consumed in collecting patch information.