• International Journal of Advanced Culture Technology
• /
• v.9 no.2
• /
• pp.47-55
• /
• 2021

The coronavirus disease 2019 (COVID-19) pandemic continuously influences on the health and well-being of people and communities worldwide. The purpose of this study was to explore the published research articles in the fields of nursing and health during the COVID-19 pandemic. The research design is an exploratory study. Samples are the abstracts of the articles from a literature database, PubMed, that were published from January 1st, 2020 to April 15th, 2021. We used a MeSH term, 'nursing' and "COVID-19" to retrieve articles that are related to COVID-19. Five hundred and fifty-five articles were retrieved. Two hundred and sixteen articles were excluded as they were not met the inclusion criteria. The total number of articles used in this study was three hundred and thirty-nine. The average number of articles published during the data collection period was 21.9. Seven topics were discovered from the abstracts of the articles: COVID-19 management and guidance; Perinatal COVID-19 and breastfeeding; Nurse; Health service and support; Patient care; Research; and Education and experience. This study revealed some interesting topics from the articles related to COVID-19 and provided some sense of research areas that may be interesting and allow us to develop important research questions about nursing science and nursing practice.

• Journal of Information Science Theory and Practice
• /
• v.1 no.2
• /
• pp.58-68
• /
• 2013

Citing literature is a very important activity for scholars in writing articles. Many publishers and libraries build citation databases and provide citation reports on scholarly journals. Cited-by linking is a service representing what an article cites and how many times it cites a specific article within a journal database. Recently, information services based on DOIs (Digital Object Identifiers) have been increasing in number. CrossRef, a non-profit organization for the DOI registration agency, maintains the DOI system and provides the cited-by linking service. Recently, the number of Korean journals adopting DOI is also rapidly increasing. The Korea Institute of Science and Technology Information (KISTI) supports Korean learned societies in DOI related activities in collaboration with CrossRef. This study analyzes cited patterns of Korean DOI journal articles using CrossRef's cited-by linking data and a Korean journal citation database. This analysis has been performed in terms of publication country and the language of journals citing Korean journal articles. The results show that DOI, SCI(E) (Science Citation Index (Expanded)), and English journals are more likely to be cited internationally.

• Journal of Information Science Theory and Practice
• /
• v.6 no.4
• /
• pp.28-38
• /
• 2018

Wikipedia is composed of millions of articles, each of which explains a particular entity with various languages in the real world. Since the articles are contributed and edited by a large population of diverse experts with no specific authority, Wikipedia can be seen as a naturally occurring body of human knowledge. In this paper, we propose a method to automatically identify key entities and relations in Wikipedia articles, which can be used for automatic ontology construction. Compared to previous approaches to entity and relation extraction and/or identification from text, our goal is to capture naturally occurring entities and relations from Wikipedia while minimizing artificiality often introduced at the stages of constructing training and testing data. The titles of the articles and anchored phrases in their text are regarded as entities, and their types are automatically classified with minimal training. We attempt to automatically detect and identify possible relations among the entities based on clustering without training data, as opposed to the relation extraction approach that focuses on improvement of accuracy in selecting one of the several target relations for a given pair of entities. While the relation extraction approach with supervised learning requires a significant amount of annotation efforts for a predefined set of relations, our approach attempts to discover relations as they occur naturally. Unlike other unsupervised relation identification work where evaluation of automatically identified relations is done with the correct relations determined a priori by human judges, we attempted to evaluate appropriateness of the naturally occurring clusters of relations involving person-artifact and person-organization entities and their relation names.

• Journal of Korean Elementary Science Education
• /
• v.27 no.1
• /
• pp.83-92
• /
• 2008

In this study, we developed elementary science education modules for facilitating students' understanding of the connected nature of Science-Technology-Society. For these modules, we particularly used news articles to make connections among science, technology, and society. We set up the development criteria as followings: connecting science-technology-society, aligning with national science curriculum, respecting students' interest, and appropriating the difficulty levels in terms and concepts. We also studied 4th grade students' perception of using these modules in science lessons. Most students perceived that using the modules in their science classes helped them link science-technology-society intimately and enhance their interest and motivation, as well as their self-esteem for studying science.

• Journal of Industrial Convergence
• /
• v.18 no.1
• /
• pp.73-78
• /
• 2020

To analyze the main topics related to the use of blockchain technology, the Topic Modeling Technique was applied to the 'Blockchain Technology Utilization' big data shown in newspaper articles. To this end, from 2013 to 2019, when newspaper articles on the use of blockchain technology first appeared, the topics were extracted from 21 newspapers and analyzed by time to 15,537 articles. As a result of the analysis, articles related to the utilization of blockchain technology have increased exponentially since 2015 and focused on IT_science and economics. Key words related to cryptocurrency, bitcoin and virtual currency were weighted high, although they differed depending on time. Blockchain technology, which had focused on financial transactions, gradually expanded to big data, Internet of Things and artificial intelligence. As a result, changes in corporate topics were also made together to expand into various fields at banks for financial transactions, focusing on large and global companies. The study showed how these topics were changing, along with the main topics in newspaper articles related to the use of blockchain technology.

• International Journal of Computer Science & Network Security
• /
• v.22 no.3
• /
• pp.155-162
• /
• 2022

Over the last 10 years, there has been rapid growth in the use of Machine Learning (ML) techniques to automate the process of intrusion threat detection at a scale never imagined before. This has prompted researchers, software engineers, and network specialists to rethink the applications of machine ML techniques particularly in the area of cybersecurity. As a result there exists numerous research documentations on the use ML techniques to detect and block cyber-attacks. This article is a systematic review involving the identification of published scholarly articles as found on IEEE Explore and Scopus databases. The articles exclusively related to the use of machine learning in Intrusion Detection Systems (IDS). Methods, concepts, results, and conclusions as found in the texts are analyzed. A description on the process taken in the identification of the research articles included: First, an introduction to the topic which is followed by a methodology section. A table is used to list identified research articles in the form of title, authors, methodology, and key findings.

• Journal of Animal Science and Technology
• /
• v.48 no.4
• /
• pp.623-636
• /
• 2006

6,161 research articles in the Life Sciences field published in domestic journals in 2004 were evaluated using bibliometrics. The total number of authors was 29,759 and the average number of authors per article was 4.8. 63.4 percent of the articles in domestic journals had more than 4 co-authors. However, this is about 25.5 percent points lower than that of Life Sciences articles in the CELL/NATURE/SCIENCE. The co-authored articles in the domestic journals mainly consist of university - university collaboration (19.9 percent). On the other hand, the co-authored articles in the CELL/NATURE/SCIENCE mainly consist of university-research institution collaboration (48.2 percent).

• Journal of Information Science Theory and Practice
• /
• v.9 no.4
• /
• pp.75-83
• /
• 2021

Mendeley reader count is good evidence of the early impact of scientific output since it appears before citations. This paper aims to scope and compare Mendeley readers of Library and Information Science (LIS) articles published from India and China. Mendeley readership data for the highly cited 1,000 articles in Web of Science are extracted using Webometric Analyst for both countries and are analysed using Excel and SPSS. The findings reveal that LIS articles that are published from China got more readers as compared to LIS articles published from India with an excess of 97 readers per paper on Mendeley. The occupational status of readers tells that PhD students are the top readers for both the countries' publications, followed by masters students. Discipline-wise readership shows that readers were spread across 29 different fields, with the highest readers from business, management and accounting, followed by computer science for both countries' publications. Location-wise readership depicts that the top engaged readers are from the United States for both the countries' publications. Finally, the study reports a positive association between citations and Mendeley bookmarks, justifying that Mendeley readership can be used to measure the early research impact of LIS scholarship in both countries.

• Journal of Information Management
• /
• v.41 no.4
• /
• pp.1-21
• /
• 2010

To identify current status of research funding and open access, this study analyzed the data available in science and technology articles had been published by S university's faculty members. The study showed that 71% of the articles funded by their universities or other research sponsors, whereas very few of articles have been self-archived for open access. So, government-sponsored research outputs could not be found in search engine Google Scholar. In developed countries, researchers who have received grants by the public or private sponsors should not only publish articles on scholarly journals but also deposit their digital research outputs in the repositories. Therefore, it is advisable for Korea research sponsors to strengthen and carry out open access mandate related laws. It is very important for universities as well as for their faculties that published articles' impact can be maximized by enabling open access. So, universities may as well construct their repositories and collect the contents with enthusiasm.

• Journal of Korean Library and Information Science Society
• /
• v.41 no.1
• /
• pp.149-165
• /
• 2010

In this research, we analyze about the general service provided by Society of Korean journal articles of science and technology. Personalized retrieval services which are suitable to the articles service were developed based on this. That is, there are personalized retrieval system based on user's keyword, authors navigation system, automatic topic recommendation system based on author's keyword, and similar user automatic recommendation system. In this research, personalized service methods being suitable to the articles service of Society tries to be considered through the user survey.