• Title/Summary/Keyword: web data

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An Analysis of the Factors Affecting User Satisfaction in Computational Science and Engineering Platforms: A Case Study of EDISON (계산과학공학플랫폼 품질 특성이 사용자 만족도에 영향을 미치는 요인에 관한 연구)

  • On, Noori;Kim, Nam-Gyu;Ru, Kimyoung;Jang, Hanbichnale;Lee, Jongsuk Ruth
    • Journal of Internet Computing and Services
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    • v.20 no.6
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    • pp.85-93
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    • 2019
  • Computational Science and Engineering is a convergence study that understands and solves complex problems such as science, engineering, and social phenomena through modeling using computing resources. Computational science and engineering combines algorithms, computational and informatics, and infrastructure. The importance of computational science is increasing with the improvement of computer performance and the development of large data processing technology. In Korea, Korea Institute of Science and Technology Information (KISTI) has been developing national computational science engineering software and utilization technology by combining basic science and computing technology through EDISON project. The EDISON project builds an open EDISON platform and integrates and services information systems in seven areas of computational science and engineering (computational thermal fluids, nanophysics, computational chemistry, structural dynamics, computational design, and computational medicine). Using this, we have established a web-based curriculum to lay the groundwork for fostering scientific talent and commercializing computational science and engineering software. The purpose of this study is to derive the quality characteristic factors of computational science platform and to empirically examine the effect on user satisfaction. This paper examines how the quality characteristics of information systems, the computational science engineering platform, affect the user satisfaction by modifying the research questions according to the propensity of the computational science platform by referring to the success factors of DeLone and McLean's information system. Based on the results of this study, we will suggest strategic implications for platform improvement by searching the priority of quality characteristics of computational science platform.

Implementation of Policy based In-depth Searching for Identical Entities and Cleansing System in LOD Cloud (LOD 클라우드에서의 연결정책 기반 동일개체 심층검색 및 정제 시스템 구현)

  • Kim, Kwangmin;Sohn, Yonglak
    • Journal of Internet Computing and Services
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    • v.19 no.3
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    • pp.67-77
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    • 2018
  • This paper suggests that LOD establishes its own link policy and publishes it to LOD cloud to provide identity among entities in different LODs. For specifying the link policy, we proposed vocabulary set founded on RDF model as well. We implemented Policy based In-depth Searching and Cleansing(PISC for short) system that proceeds in-depth searching across LODs by referencing the link policies. PISC has been published on Github. LODs have participated voluntarily to LOD cloud so that degree of the entity identity needs to be evaluated. PISC, therefore, evaluates the identities and cleanses the searched entities to confine them to that exceed user's criterion of entity identity level. As for searching results, PISC provides entity's detailed contents which have been collected from diverse LODs and ontology customized to the content. Simulation of PISC has been performed on DBpedia's 5 LODs. We found that similarity of 0.9 of source and target RDF triples' objects provided appropriate expansion ratio and inclusion ratio of searching result. For sufficient identity of searched entities, 3 or more target LODs are required to be specified in link policy.

Construction and Utilization Plan of Steep Slope and Underground Spatial Information DB for Steep Slope Disaster Prevention (급경사지방재를 위한 급경사지정보 및 지하공간정보 DB 구축과 활용 방안 연구)

  • Lee, Kyungchul;Jang, Yonggu;Song, Jihye;Kang, Injoon
    • Journal of the Korean GEO-environmental Society
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    • v.15 no.7
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    • pp.13-21
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    • 2014
  • Recently, a great number of natural disasters have more frequently happened than the past. The National Emergency Management Agency of Korea has made preparation for the integrated management system of steep slope lands. There is information based on the steep slope inspection sheets and the underground spatial information related to the prevention against steep slope disasters. Nevertheless, building a complete DB System to prevent the hazards and secure the safeties should be urgently dealt with. It is mainly because the information of the National Disaster Management System is restricted to the text-based brief data. Therefore, the purpose of this study is to suggest the method as to building steep slope DB system for disaster prevention and maximizing the availabilities. This study shows the way of building a web-based DB system having its root in the steep slope inspection sheets. The method of establishing the ideal DB system that has liaisons between the Ministry of Land, Infrastructure and Transport and the National Emergency Management Agency is discussed in this study. Furthermore the optimization of DB utilization will assist the various integrated steep slope management systems based on U-IT which are ongoing projects.

Effect of Acupuncture on Sciatica in Rat Models: Systematic Review and Meta-analysis (좌골신경통 백서모델에서 침치료의 효과: 체계적 문헌고찰 및 메타분석)

  • Yoon, Ye-Ji;Kim, Soojeon;Cho, Jae-Heung;Kim, Koh-Woon;Song, Mi-Yeon
    • Journal of Korean Medicine Rehabilitation
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    • v.30 no.1
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    • pp.79-93
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    • 2020
  • Objectives While sciatic neuropathy is one of the common symptoms which have the lifetime incidence of 13~40%, still there is no consensus about the standardized and the most effective conservative treatment. In addition, the importance of systematic review and meta-analysis of preclinical are growing as they could suggest possible effective treatment strategy for future studies. Therefore, we conducted systematic review and meta-analysis to estimate analgesic effect of acupuncture on sciatica in rat models. Methods Systematic search was conducted for all controlled comparative preclinical trials which assessed analgesic effect of acupuncture in sciatica rat models. Database of PubMed, EMBASE, Web of Science, CNKI and 6 Korean databases were used. The primary outcome was pain, which is evaluated by stimulus behavior tests in rat models. We assessed the methodological quality with Systematic Review Centre for Laboratory Animal Experimentation's risk of bias tool. RevMan 5.3 was used for meta-analysis and subgroup analysis was conducted according to treatment site, acupuncture point, treatment period and frequency used in electroacupuncture. Results 14 studies were finally included following our inclusion criteria. The data from meta-analysis indicated that the acupuncture significantly improved the result values of behavior tests for pain evaluation, compared to no-treatment control group in animal models (standardized mean difference=4.43, 95% confidence interval 3.16 to 5.69, Z=6.84, p<0.00001; χ2=68.02, p<0.00001; I2=82%). The results of subgroup analysis indicate that acupuncture treatment of unilateral site, distal acupoints, longer treatment period and applying 2/100 Hz frequency in electroacupuncture could be more effective. Conclusions Systematic review and meta-analysis of animal studies are getting important for the future clinical studies and the improvement of heatlh care. Therefore the results of the study would provide evidence and better design for the forthcoming studies.

Korea Barcode of Life Database System (KBOL)

  • Kim, Sung-Min;Kim, Chang-Bae;Min, Gi-Sik;Suh, Young-Bae;Bhak, Jong;Woo, Tae-Ha;Koo, Hye-Young;Choi, Jun-Kil;Shin, Mann-Kyoon;Jung, Jong-Woo;Song, Kyo-Hong;Ree, Han-Il;Hwang, Ui-Wook;Park, Yung-Chul;Eo, Hae-Seok;Kim, Joo-Pil;Yoon, Seong-Myeong;Rho, Hyun-Soo;Kim, Sa-Heung;Lee, Hang;Min, Mi-Sook
    • Animal cells and systems
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    • v.16 no.1
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    • pp.11-19
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    • 2012
  • A major concern regarding the collection and storage of biodiversity information is the inefficiency of conventional taxonomic approaches in dealing with a large number of species. This inefficiency has increased the demand for automated, rapid, and reliable molecular identification systems and large-scale biological databases. DNA-based taxonomic approaches are now arguably a necessity in biodiversity studies. In particular, DNA barcoding using short DNA sequences provides an effective molecular tool for species identification. We constructed a large-scale database system that holds a collection of 5531 barcode sequences from 2429 Korean species. The Korea Barcode of Life database (KBOL, http://koreabarcode.org) is a web-based database system that is used for compiling a high volume of DNA barcode data and identifying unknown biological specimens. With the KBOL system, users can not only link DNA barcodes and biological information but can also undertake conservation activities, including environmental management, monitoring, and detecting significant organisms.

The Moderating Role of Site Usage Experience in Internet Users' Decision on Personal Information Disclosure (개인정보제공 의사결정에 있어서 사이트 이용경험의 조절효과에 대한 연구)

  • Lee, Dong-Joo
    • Informatization Policy
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    • v.19 no.2
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    • pp.21-38
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    • 2012
  • The proliferation of the Internet and the advent of e-commerce have amplified public concerns about privacy. Accordingly, much research effort has been made on the issue. While existing research on online information privacy has usually focused on the examination of antecedents of personal information disclosure, the literature has not paid attention to the potential changes of the antecedents' effects depending on the user's experience of the service. The current study aims to investigate the moderating role of site usage experience in Internet users' decision on personal information disclosure. Specifically, this study considers two types of antecedents of personal information disclosure on a site - the attributes of personal information requested (sensitivity and relevance of information) and the value of the service provided by the site; and examines how the effects of the antecedents on the disclosure intention are affected by the users'experience of the site. Our analysis of the data gathered through a web-based experiment reveals that site usage experience moderates the relationship between the attributes of personal information and disclosure intention. While usage experience attenuates the negative effect of information sensitivity on disclosure intention, it intensifies the positive impact that relevance of information has on disclosure intention. Based on the analysis results, we provide implications for the mitigation of the Internet users' privacy concerns as well as theoretical implications.

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The Effects of Perceived Stress on Dietary Habits and Oral Health Behaviors in Korean Adolescents (우리나라 청소년의 스트레스 인지수준이 식습관 및 구강건강행태에 미치는 영향)

  • Lee, Min-Young;Choi, Eun-Mi;Chung, Won-Gyun;Son, Jung-Hui;Chang, Sei-Jin
    • Journal of dental hygiene science
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    • v.13 no.4
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    • pp.440-448
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    • 2013
  • The purpose of this study was to analyze the effects of perceived stress on dietary habits and oral health behaviors in Korean adolescents. Data were from the Korea Youth Risk Behavior Web-based Survey (KYRBS) in 2011. A total of 74,186 adolescents were surveyed using the self-administered questionnaire. Logistic regression analyses were performed to elucidate the effects of perceived stress on dietary habits and oral health behaviors. Statistical analyses were conducted, and p<0.05 were considered significant. We found that adolescents with higher stress were more likely to increase the risk of adverse dietary habits (low consumption of fruits, vegetables and milk, high consumption of carbonated soft drinks, fast food and cookie) compared to those with lower stress. Regarding the relationship between perceived stress and oral health behaviors, adolescents with higher stress were less likely to practice oral health behaviors such as brushing teeth after snack consumption and brushing teeth before sleep compared to those with lower stress. This result indicates that adolescents' perceived stress might play a significant role in the negative dietary habits and oral health behavior.

A Study on Cases for Application of Flipped Learning in K-12 Education (초·중등교육에서의 플립러닝 연구사례 분석)

  • Lee, Jeongmin;Park, Hyeon-Kyeong
    • Journal of Digital Convergence
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    • v.14 no.8
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    • pp.19-36
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    • 2016
  • The purpose of this study was to analyze domestic and overseas cases of flipped learning instructional design model and actual classes in K-12 Education, and find out educational implications in order to design effective flipped learning. Papers, 14 articles in domestic and international journals, were collected. As results of the analysis, first, flipped learning instructional model was presented as flipped learning that applied to ADDIE model and 8C model etc. Second, 'Activities before classroom' consisted of watching lecture videos, lecture notes etc. 'Activities during classroom' was checking prior learning in early stage, individual activities and cooperative activities in middle stage, and solving quizzes, reviewing in later stage. After class, students performed tasks and questions&answers. Third, in case of creating lecture video, they used application such as Screencast-o-matic, Explain Everything; In contrast, some cases utilized online web-sites such as YouTube or Phet. Fourth, positive results were shown in learners' academic achievement, motivation and learning attitude etc. This research has a significance in terms of analyzing the flipped learning instructional model and flipped learning activities, and providing the preliminary data to facilitate the design for the effective flipped learning.

Understanding the Performance of Collaborative Filtering Recommendation through Social Network Analysis (소셜네트워크 분석을 통한 협업필터링 추천 성과의 이해)

  • Ahn, Sung-Mahn;Kim, In-Hwan;Choi, Byoung-Gu;Cho, Yoon-Ho;Kim, Eun-Hong;Kim, Myeong-Kyun
    • The Journal of Society for e-Business Studies
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    • v.17 no.2
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    • pp.129-147
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    • 2012
  • Collaborative filtering (CF), one of the most successful recommendation techniques, has been used in a number of different applications such as recommending web pages, movies, music, articles and products. One of the critical issues in CF is why recommendation performances are different depending on application domains. However, prior literatures have focused on only data characteristics to explain the origin of the difference. Scant attentions have been paid to provide systematic explanation on the issue. To fill this research gap, this study attempts to systematically explain why recommendation performances are different using structural indexes of social network. For this purpose, we developed hypotheses regarding the relationships between structural indexes of social network and recommendation performance of collaboration filtering, and empirically tested them. Results of this study showed that density and inconclusiveness positively affected recommendation performance while clustering coefficient negatively affected it. This study can be used as stepping stone for understanding collaborative filtering recommendation performance. Furthermore, it might be helpful for managers to decide whether they adopt recommendation systems.

External validation of IBTR! 2.0 nomogram for prediction of ipsilateral breast tumor recurrence

  • Lee, Byung Min;Chang, Jee Suk;Cho, Young Up;Park, Seho;Park, Hyung Seok;Kim, Jee Ye;Sohn, Joo Hyuk;Kim, Gun Min;Koo, Ja Seung;Keum, Ki Chang;Suh, Chang-Ok;Kim, Yong Bae
    • Radiation Oncology Journal
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    • v.36 no.2
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    • pp.139-146
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    • 2018
  • Purpose: IBTR! 2.0 nomogram is web-based nomogram that predicts ipsilateral breast tumor recurrence (IBTR). We aimed to validate the IBTR! 2.0 using an external data set. Materials and Methods: The cohort consisted of 2,206 patients, who received breast conserving surgery and radiation therapy from 1992 to 2012 at our institution, where wide surgical excision is been routinely performed. Discrimination and calibration were used for assessing model performance. Patients with predicted 10-year IBTR risk based on an IBTR! 2.0 nomogram score of <3%, 3%-5%, 5%-10%, and >10% were assigned to groups 1, 2, 3, and 4, respectively. We also plotted calibration values to observe the actual IBTR rate against the nomogram-derived 10-year IBTR probabilities. Results: The median follow-up period was 73 months (range, 6 to 277 months). The area under the receiver operating characteristic curve was 0.607, showing poor accordance between the estimated and observed recurrence rate. Calibration plot confirmed that the IBTR! 2.0 nomogram predicted the 10-year IBTR risk higher than the observed IBTR rates in all groups. High discrepancies between nomogram IBTR predictions and observed IBTR rates were observed in overall risk groups. Compared with the original development dataset, our patients had fewer high grade tumors, less margin positivity, and less lymphovascular invasion, and more use of modern systemic therapies. Conclusions: IBTR! 2.0 nomogram seems to have the moderate discriminative ability with a tendency to over-estimating risk rate. Continued efforts are needed to ensure external applicability of published nomograms by validating the program using an external patient population.