• Journal of Digital Convergence
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• v.15 no.5
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• pp.225-233
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• 2017

In this paper, we collected the articles related to artificial intelligence among SCI(E) journals published by Korean authors in 'Web of Science' and conducted frequency analysis and keyword network analysis. As a result of the analysis, the artificial intelligence thesis showed an average growth of about 10% per year, but the relative ratio decreased. As time went on, we could confirm that there is a lot of practical and applied research in artificial intelligence research. Unlike the US 'National Strategy for Artificial Intelligence Research and Development,' the field of research in Korea was focused on local and technical aspects. Therefore, Korea should go beyond the theoretical and technical iterations of artificial intelligence, and research should be carried out to present a comprehensive future direction.

• Proceedings of the Korean Society for Information Management Conference
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• 2014.08a
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• pp.17-20
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• 2014

본 연구는 동시출현 단어분석 기법을 이용하여 최근 전세계적으로 많은 주목을 받고 있는 빅데이터(Big Data) 관련 연구 동향과 연구 영역을 분석하는 것을 목적으로 한다. 이를 위하여 인용색인데이터베이스인 Web of Science SCIE(Science Citation Index Expanded)에서 분석 대상 논문을 수집하였다. 논문 수집을 위한 검색식은 은 Title(논문 제목), Abstract(초록), Author Keywords(저자 키워드), Keywords $Plus^{(R)}$의 네 가지 필드를 동시에 검색하는 주제어(topic)가 "big data"를 포함하고 있는 논문 563편을 대상으로 동시출현단어 분석을 수행하였다.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.748-753
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• 2009

Large amounts of research results are being produced with the rapid growth of science and technology. The current method for constructing the database was way too time and cost consuming. In the currently upcoming technology and knowledge society, web service is required to provide the various professional service for national R&D reports. A process to manufacture E-Book for professional service is also required. This research shows the conversion models with efficient manufacturing process and the systems related to the development through defining the National R&D reports.

• Animal cells and systems
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• v.12 no.2
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• pp.109-116
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• 2008

Among the four kinds of silk glands in the funnel-web spider Agelena limbata, the ampullate gland for dragline silk production is the most predominate one in both sexes, and is composed of three functional parts-excretory duct, storage ampulla and convoluted tail regions. Two pairs of major ampullate glands send secretory ductules to the anterior spinnerets, and another two pairs of minor ampullate glands supply the middle spinnerets. There are no apparent differences between the major and minor ampullate glands not only the external spigots but also their internal silk glands. However, the microstructure is very unique in this spider, because each gland has spherical shaped storage sac with twig-like branched tails. Nevertheless, the wall of the secretory region is similarly composed of a single layer of epithelial cells. The mature secretory silks in glandular epithelium are closely packed and accumulated as electron-opaque vesicles. Most of the secretory products which originated from the rough endoplasmic reticula(rER) are grown up by fusion with the surrounding small vesicles however, the Golgi complex does not seem to play an important role in this process of secretion.

• Spatial Information Research
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• v.14 no.4 s.39
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• pp.391-401
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• 2006

We propose a method for geographically enhanced representation of social networks and implement a Web-based 3D visualization of geographical contexts in social networks. A renovated social network graph is illustrated by using two key components: (i) GWCMs (geographically weighted centrality measures) that reflect the differences in interaction intensity and spatial proximity among nodes and (ii) MSNG (map-integrated social network graph) that incorporates the GWCMs and the geographically referenced arrangement of nodes on a choroplethic map. For the integrated 3D visualization of the renovated social network graph, we employ X3D (Extensible 3D), a standard 3D authoring tool for the Web. An experimental case study of regional R&D collaboration provides a visual clue to geographical contexts in social networks including how the social centralization relates to spatial centralization.

• Journal of Korean Academy of Nursing
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• v.50 no.3
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• pp.349-368
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• 2020

Purpose: This study aimed to identify parental factors associated with smartphone overuse in preschoolers. Methods: A systematic review was conducted according to PRISMA guidelines. Relevant studies published in peer-reviewed journals from 2009 to June 2019 were identified through systematic search in 10 electronic databases (PubMed, CINAHL, Cochrane Central, EMBASE, Web of Science, NDSL, KISS, KMbase, KoreaMed, and RISS). Standardized effect sizes were calculated to quantify the associations of parental factors with smartphone overuse in preschoolers using meta-analysis. Results: A total of 30 cross-sectional studies involving 7,943 participants met the inclusion criteria. The following were negatively correlated with smartphone overuse in preschoolers: mother's parenting self-efficacy (r=-.35), mother-child attachment (r=-.28), mother's positive parenting behavior (r=-.28), mother's positive parenting attitude (r=-.25), and father's parenting involvement (r=-.15). Further, maternal factors such as smartphone addiction tendency (r=.41), parenting stress (r=.40), negative parenting behavior (r=.35), negative parenting attitude (r=.14), smartphone usage time (r=.26), employment status (r=.18), and age (r=.12) were positively correlated with smartphone overuse in preschoolers. Conclusion: Several parental factors influence smartphone overuse in preschoolers. These findings emphasize the need to assess and enhance the parental factors identified in this study to prevent smartphone overuse in preschoolers. Accordingly, we recommend the development of preventive interventions to strengthen parent-related protective factors and mitigate risk factors.

• Journal of Korean Academy of Nursing
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• v.36 no.8
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• pp.1324-1330
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• 2006

Purpose. This study developed a web-based wound care course for undergraduate nursing students and evaluated the course's content, system, and student-satisfaction. Methods. This study was done in three stages, the development of the web-based wound care course, the implementation and evaluation of the course. The course was developed based on the ARCS model. 80 under-graduate nursing students to Y University in Korea used the web-based wound care program during four weeks. After that, they completed questionnaires, evaluating the contents, system, and their satisfaction. Results. Eighteen learning objectives were used to create the web-based wound care course and the course was developed with 7 chapters and 20 subsections. The analysis of the questionnaires showed a mean score for content and system-related items of 3.04 each, out of a possible 4 points. Student satisfaction items had a mean score of 2.89. Conclusions. The web-based course allowed students access to the course anytime and anywhere, and according to their own learning abilities. However this advantage would only be possible when nurse educators develop qualitative web-based course to meet the demand of a complex health care system as well as the needs of the students and the effectively incorporate it into traditional lectures.

• 기계와재료
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• v.22 no.1
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• pp.84-93
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• 2010

본 고에서는 소재분야의 기술수준을 정확히 파악하고, 앞으로 나아갈 R&D 정책방향을 설정하는 데 도움이 되도록 하기 위해 NS(National Science Indicators) DB와 Web of Science DB의 재료과학(Materials Science) 분야를 토대로 논문분석을 수행하였다. 최근 10년간(1999-2008년) 소재 분야에 대한 분석결과 양적 지표인 논문수는 연평균 12%로 지속적으로 증가하였으며, 세계순위는 1999년 9위에서 2008년 4위까지 상승하였다. 질적지표인 논문1편당 피인용횟수는 세계 평균 대비 1999년 94.7%(한국 9.35건, 세계 9.87건)에서 2008년 88.4%(한국 0.23건, 세계 0.26건)로 낮아진 것으로 나타났다. 최근 10년간 연구주체간 협력 논문수를 살펴보면 대학-대학간 이 4,337편(39.8%)으로 가장 많으며, 대학-공공연구기관간은 3,135건(28.8%), 대학-기업은 2,295건(21.1%)으로 전체의 약 90%를 차지하고 있다. 또한 해외 협력논문수는 전체 논문에서 약 26%를 차지하고 있다. 결과적으로 기초연구성과의 실용화 연계 지원책 마련, 질중심 논문평가의 강화, 국내외 협력주체간 협력 연수의 강화, 주기적 논문분석을 통한 소재 R&D 정책 수립 및 연구사업기획에의 활용강화 필요하다.

• Journal of the Korean Society for information Management
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• v.18 no.3
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• pp.265-284
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• 2001

The aim of this study was to discover the correlation between users cognitive style and their attitude towards evaluating the system. Postgraduate students cognitive styles were defined as Verbaliser/Imager and Wholist/Analytic, and the functionality and ease of learning features of a Web-based OPAC(Online Public Access Catalogue) system were evaluated using a combined evaluation methods: interviews for the preliminary survey, a questionnaire far the central data collection, and a psychometric approach for the judgement of students cognitive style using Ridings CSA(Cognitive Style Assessment) tool. Forty-four postgraduate student volunteers responded and data was analysed using SPSS(Statistical Package for Social Science) for Windows. The statistical analysis of each feature of the evaluation, the correlation between the variables, and the features were explored using Pearsons correlation coefficients(r). In exploring the effects of the cognitive styles of individuals, this study has failed to reveal a significant (P < 0.05) correlations in the interactive Web-based OPACs evaluation. It could be said that the contribution of cognitive styles to evaluating Web-based OPACs is likely to be weaker than that of non-cognitive (or demographic) variables.

• Journal of Information Science Theory and Practice
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• v.7 no.2
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• pp.23-31
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• 2019

We report results of selection-bias-free approaches to the analysis of the impact of open access (OA) models on citation metrics. We studied reference groups of Gold and Green OA articles and the group of non-OA (Paywall) articles with the new functionality of the Web of Science Core Collection database, the InCites platform of Clarivate Analytics, and the Dimensions database of Digital Science. For each reference group we obtained the values of the percent of cited articles and citation impact and their dependence on the depth of the citation period. Different research fields were analyzed in two schemas of the InCites platform. We report the higher values and growth rates of the citation metrics: citation impact and %Cited, in the OA reference groups over the Paywall group. The Green OA articles demonstrate the highest values of citation metrics among all the OA models. Dependence of the value of citation impact on citation period follows linear law with R2 values close to 0.9-1.0. The overall annual growth rates of citation impact of the Green OA, Gold OA, and the Paywall articles, k equal, respectively, 3.6, 2.4, and 1.4 in Dimensions and 4.6, 3.6, and 2.3 in the Web of Science Core Collection. We suppose that earlier results reported for the articles in pure OA journals vs. articles in Paywall journals were affected by the high citation impact of the Green and Hybrid OA articles that could not be elucidated in the Paywall journals at that time.