• Imaging Science in Dentistry
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• v.51 no.4
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• pp.341-350
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• 2021

Purpose: The use of micro-computed tomography (micro-CT) scans in biomedical and dental research is growing rapidly. This study aimed to explore the scientific literature on approaches and applications of micro-CT in restorative dentistry. Materials and Methods: An electronic search of publications from January 2009 to March 2021 was conducted using ScienceDirect, PubMed, and Google Scholar. The search included only English-language articles. Therefore, only studies that addressed recent advances and the potential uses of micro-CT in restorative and preventive dentistry were selected. Results: Micro-CT is a tool that enables 3-dimensional imaging on a small scale with very high resolution. In this method, there is no need for sample preparation or slicing. Therefore, it is possible to examine the internal structure of tissue and the internal adaptation of materials to surfaces without destroying them. Due to these advantages, micro-CT has been recommended as a standard imaging tool in dental research for many applications such as tissue engineering, endodontics, restorative dentistry, and research on the mineral density of hard tissues and bone growth. However, the high costs of micro-CT, the time necessary for scanning and reconstruction, computer expertise requirements, and the enormous volume of information are drawbacks. Conclusion: The potential of micro-CT as an emerging, accurate, non-destructive approach is clear, and the valuable research findings reported in the literature provide an impetus for researchers to perform future studies focusing on employing this method in dental research.

• Journal of Korean Biological Nursing Science
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• v.25 no.3
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• pp.143-159
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• 2023

Purpose: The purpose of this study was to provide evidence for future research by analyzing the contents, delivery methods, and educational effects of educational programs for hemodialysis patients. Methods: A literature review was conducted in the following order: problem identification, literature search and data collection, data evaluation, data analysis, and data presentation. In total, 936 documents were retrieved from the search, and 24 documents were finally included in this study. Results: The contents of the educational programs were comprehensive hemodialysis-related knowledge education in seven studies, exercise-related education in 10 studies, diet-related education in four studies, drug-related education in one study, and complex education in two studies. The delivery methods were pamphlets in six studies, audio-visual materials in four studies, direct guidance by researchers in six studies, and multiple methods in seven studies. The effects of the educational program were divided into physical indicators, emotional indicators, and knowledge and performance related to hemodialysis. Sixteen out of 20 articles using physical indicators showed significant outcomes, and 10 out of 12 articles using emotional indicators derived positive results. Hemodialysis-related knowledge and performance were measured in eight and 10 studies, respectively, and meaningful results were found in six studies for knowledge and seven studies for performance. Conclusion: Future research will require the development of a systematic and standardized educational program with comprehensive content that can be provided to all hemodialysis patients, as well as a highly accessible education delivery method to enhance the effectiveness of education.

• The Journal of Korean Medicine
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• v.44 no.3
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• pp.189-200
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• 2023

Objectives: The purpose of this study is to analyze the current state of quantitative literature evidence for the prescription of 56 herbal medicines covered by health insurance that have been studied in Korea for the past 30 years, to evaluate the reliability of the evidence, and to find out the research direction of herbal medicine prescription in the future. Methods: 56 kinds of herbal medicine prescriptions were searched in domestic literature search databases OASIS, DBpia, and overseas PubMed, classified into chemistry, toxicity, cells, animals, clinical cases, and clinical trial studies, and built into an EBM pyramid structure. Results: When classified according to research contents, there were 61 cases (7.5%) of physicochemical analysis to identify constituent substances, 80 cases (9.8%) of toxicity evaluation, and 672 cases (82.7%) of efficacy evaluation. The efficacy evidence was classified according to the evidence-based medical pyramid structure: 196 cell trials (29.1%), 372 animal trials (55.4%), 89 case and case reporting series (13.3%), 7 comparative case studies (1.1%), and 8 randomized control clinical trials (1.2%). In the pyramid composition, the basis for the validity of 56 kinds of herbal medicines prescribed was 568 cases (84.5%) in cell and animal units, which could not be said to be highly reliable. There was no relationship between the ranking of quantitative literature evidence for herbal medicine prescriptions and the ranking of salary administration. Conclusions: In an era that continues to require scientific evidence for herbal medicine, traditional herbal medicine should secure the basis for safety validity even for the 10th most frequent prescription among 56 herbal medicine prescriptions for consumers. In particular, traditional herbal medicine should increase the quantitative and qualitative level of case reports on related herbal medicine prescriptions, focusing on each clinical society, and move toward comparative case studies and randomized clinical trial so that traditional herbal medicine is positioned as Evidence-based medicine.

• The Journal of Korean Medicine
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• v.36 no.4
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• pp.80-103
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• 2015

Background: This study investigated current research trends in bee venom acupuncture in Korea. Materials and methods: The literature in Korea was reviewed using the search engines Science and Technology Society Village, Korean Studies Information Service System, National Discovery for Science Leaders, and Oriental Medicine Advanced Searching Integrated System. The keywords searched were "bee venom," "apitoxin," "apitherapy," and "bee sting." We selected 412 studies, which included Korean literary studies, experimental studies, and clinical studies. Results: We classified them by publication year, research type, disease and topic, and quality assessment. Among bee venom-related studies, clinical studies (235 studies) outnumbered experimental studies (149 studies) and literary studies (28 studies). Nineteen experimental studies concentrated on the theme of "anticancer." In the type analysis of clinical studies, lumbar disorders comprised 45 of 235 studies, followed by the effect on body. Forty-two randomized controlled trials (RCTs) have been published from 2003 to date (2015). Twenty-two studies used appropriate randomization methods. Fourteen studies had a Jadad score of 4-5 points; 15 studies, 1-3 points; and 13 studies, 0 points. Conclusions: Bee venom treatment is based on Korean traditional medicine theory. Numerous research studies suggest its effectiveness. Effort and academic approach on bee venom are expected to receive a positive evaluation.

• Journal of Environmental Science International
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• v.27 no.12
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• pp.1169-1178
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• 2018

Two man-made carbon emissions, fossil fuel emissions and land use emissions, have been perturbing naturally occurring global carbon cycle. These emitted carbons will eventually be deposited into the atmosphere, the terrestrial biosphere, the soil, and the ocean. In this study, Simple Global Carbon Model (SGCM) was used to simulate global carbon cycle and to estimate global carbon budget. For the model input, fossil fuel emissions and land use emissions were taken from the literature. Unlike fossil fuel use, land use emissions were highly uncertain. Therefore land use emission inputs were adjusted within an uncertainty range suggested in the literature. Simulated atmospheric $CO_2$ concentrations were well fitted to observations with a standard error of 0.06 ppm. Moreover, simulated carbon budgets in the ocean and terrestrial biosphere were shown to be reasonable compared to the literature values, which have considerable uncertainties. Simulation results show that with increasing fossil fuel emissions, the ratios of carbon partitioning to the atmosphere and the terrestrial biosphere have increased from 42% and 24% in the year 1958 to 50% and 30% in the year 2016 respectively, while that to the ocean has decreased from 34% in the year 1958 to 20% in the year 2016. This finding indicates that if the current emission trend continues, the atmospheric carbon partitioning ratio might be continuously increasing and thereby the atmospheric $CO_2$ concentrations might be increasing much faster. Among the total emissions of 399 gigatons of carbon (GtC) from fossil fuel use and land use during the simulation period (between 1960 and 2016), 189 GtC were reallocated to the atmosphere (47%), 107 GtC to the terrestrial biosphere (27%), and 103GtC to the ocean (26%). The net terrestrial biospheric carbon accumulation (terrestrial biospheric allocations minus land use emissions) showed positive 46 GtC. In other words, the terrestrial biosphere has been accumulating carbon, although land use emission has been depleting carbon in the terrestrial biosphere.

• Clinics in Shoulder and Elbow
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• v.26 no.2
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• pp.182-190
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• 2023

Elbow traumas represent a relatively common condition in clinical practice. However, there is a lack of evidence regarding the most accurate tests for screening these potentially serious conditions and excluding elbow fractures. The purpose of this investigation was to analyze the literature concerning the diagnostic accuracy of clinical tests for the detection or exclusion of suspected elbow fractures. A systematic review was performed using the Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies (PRISMA-DTA) guidelines. Literature databases including PubMed, Cumulative Index to Nursing and Allied Health Literature, Diagnostic Test Accuracy, Cochrane Library, the Web of Science, and ScienceDirect were searched for diagnostic accuracy studies of subjects with suspected traumatic elbow fracture investigating clinical tests compared to imaging reference tests. The risk of bias in each study was assessed independently by two reviewers using the Quality Assessment of Diagnostic Accuracy Studies 2 checklist. Twelve studies (4,485 patients) were included. Three different types of index tests were extracted. In adults, these tests were very sensitive, with values up to 98.6% (95% confidence interval [CI], 95.0%-99.8%). The specificity was very variable, ranging from 24.0% (95% CI, 19.0%-30.0%) to 69.4% (95% CI, 57.3%-79.5%). The applicability of these tests was very high, while overall studies showed a medium risk of bias. Elbow full range of motion test, elbow extension test, and elbow extension and point tenderness test appear to be useful in the presence of a negative test to exclude fracture in a majority of cases. The specificity of all tests, however, does not allow us to draw useful conclusions because there was a great variability of results obtained.

• Journal of The Korean Association For Science Education
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• v.35 no.3
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• pp.395-402
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• 2015

This study assumes that recognition about scientific creativity may differ according to teacher, students and parents, and that this difference can affect the actual teaching, encouragement, and development of scientific creativity. Based on teacher's free responses and literature reviews about features of scientific creativity, we extracted 16 items describing contrary views about scientific creativity. Using these 16 items, we obtain responses from 652 students, teachers, soon-to-be-teachers (college of education students) and parents about whether they agree with each item or not. Results show that 1/4 of the participants agreed with the views contrary to the views accepted in literature. And we found out which views contrary to the accepted views in literature were agreed upon by participants, and that which items divided the groups for having contrary views. From these results, we discuss the possible effects of participants' recognition on teaching, encouragement and development of scientific creativity, and suggest so further studies.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.379-403
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• 2015

Name Authority Control is useful not only to manage author information but also to gather other names of authors in order to provide access points in libraries and other institutes. The purpose of this study is to find problems through comparing and analyzing Literature Translation Institute of Korea Author Database, Korean name authority records of national libraries in the U. S., Japan and Korea. The results of the study are as follows. First, Literature Translation Institute of Korea Author Database missed some useful information about Korean writers in translated books in other countries. Second, the name authority file of Library of Congress and National Diet Library did not include the variant names, dates of authors' birth and death date, and filled out incorrect variant names with some birth and death dates. Third, English and Chinese character variants of Korean authors were not found in the National Library of Korea. To solve these problems, revisions of Korean author database, open access to National Library of Korea name authority file, and a strong participation of VIAF were suggested.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.2
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• pp.179-199
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• 2019

In this paper, we propose optimal methodologies for classifying patent literature by examining various feature extraction methods, machine learning and deep learning models, and provide optimal performance through experiments. We compared the traditional BoW method and a distributed representation method (word embedding vector) as a feature extraction, and compared the morphological analysis and multi gram as the method of constructing the document collection. In addition, classification performance was verified using traditional machine learning model and deep learning model. Experimental results show that the best performance is achieved when we apply the deep learning model with distributed representation and morphological analysis based feature extraction. In Section, Class and Subclass classification experiments, We improved the performance by 5.71%, 18.84% and 21.53%, respectively, compared with traditional classification methods.

• Smart Media Journal
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• v.11 no.10
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• pp.54-64
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• 2022

A big data-driven digital transformation is defined as a process that aims to innovate companies by triggering significant changes to their capabilities and designs through the use of big data and various technologies. For a successful big data-driven digital transformation, reviewing related literature, which enhances the understanding of research statuses and the identification of key research topics and relationships among key topics, is necessary. However, understanding and describing literature is challenging, considering its volume and variety. Establishing a common ground for central concepts is essential for science. To clarify key research topics on the big data-driven digital transformation, we carry out a comprehensive literature review by performing text mining of 439 articles. Text mining is applied to learn and identify specific topics, and the suggested key references are manually reviewed to develop a state-of-the-art overview. A total of 10 key research topics and relationships among the topics are identified. This study contributes to clarifying a systematized view of dispersed studies on big data-driven digital transformation across multiple disciplines and encourages further academic discussions and industrial transformation.