• Journal of Gifted/Talented Education
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• v.12 no.4
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• pp.108-119
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• 2002

We have analyzed students' reports on a problem for 'adhesive tape' among ten assigned problems in the first Korean youth physics tournament (KYPT). There were five team' s reports on this problem. Students reported that the reasons for lightening coming out from the stripping down adhesive tape are caused by electrostatic friction, electron transfer, energy transformation, etc. However, only few teams suggest new creative ideas with divergent thinking during their inquiry process. Because the KYPT is a debate based on the problem solving by inquiries, the reports should include the creative investigations by their own ideas in every steps of inquiry up to their final conclusions.

• Journal of Information Processing Systems
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• v.8 no.1
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• pp.67-84
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• 2012

An important amount of clinical data concerning the medical history of a patient is in the form of clinical reports that are written by doctors. They describe patients, their pathologies, their personal and medical histories, findings made during interviews or during procedures, and so forth. They represent a source of precious information that can be used in several applications such as research information to diagnose new patients, epidemiological studies, decision support, statistical analysis, and data mining. But this information is difficult to access, as it is often in unstructured text form. To make access to patient data easy, our research aims to develop a system for extracting information from unstructured text. In a previous work, a rule-based approach is applied to a clinical reports corpus of infectious diseases to extract structured data in the form of named entities and properties. In this paper, we propose the use of a Boolean inference engine, which is based on a cellular automaton, to do extraction. Our motivation to adopt this Boolean modeling approach is twofold: first optimize storage, and second reduce the response time of the entities extraction.

• Journal of Sasang Constitutional Medicine
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• v.28 no.2
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• pp.83-102
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• 2016

Objectives This study aimed to provide a basis for treatment of taeeum person by analysing published case reports and case series in Journal of Sasang Constitutional Medicine.Methods We reviewed case reports and case series of taeeum person in the Journal of Sasang Constitutional Medicine from 2006 to 2015.Results Of the forty papers, reporting 182 cases of taeeum person. Thirty-five papers reported 6 types of Sasang Constitutional Medicine pattern. A total of 10 types of interventions were described, of which herbal medicine (100%) was most frequently used. A total of 30 types of outcome measeure were used in papers, for which symptom change (79.2%) was most frequently used. A total of 8 types of diagnosis criteria were used in 38 papers.Conclusions A sufficient number of clinical studies are warranted to provide a clinical evidence for treatment of taeeum person.

• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.331-337
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• 2005

'Supplement 23:DICOM SR' announced on April 2000 made possible co-relations between the clinical reports and human body parts by standardizing the exchange of clinical information. DICOM SR uses its own coding schemes and values to represent information, which convey hierarchically structured content items. This paper analyzes radiology reports produced in HIS(Hospital Information System) and categorizes content structures into three parts such as, finding, conclusion, and recommendation, and implements a system which can be used by clinicians. Digital X-ray images and their reports have been managed separately. Since the report made by DICOM SR can refer to images, the integrated information of reports and images is possible.

• Journal of Korea Game Society
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• v.21 no.3
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• pp.91-106
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• 2021

This study examined how news has covered games since the decision to include gaming disorder in ICD-11. Data were 694 news article on games in five major newspapers. The results indicated the following: While the proportion of reports on game industry was high, those reports were mainly straight news announcing industry status and corporate management status. Reports on game policy focused on regulations, particularly game addiction or disorder. Reports on game uses and effects showed very low rates, but they have followed the existing practices of reporting games as the cause of extreme crimes and deviant behaviors.

• Journal of Korean language education
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• v.29 no.3
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• pp.293-324
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• 2018

The purpose of this study was to identify differences in the report assessment patterns of international undergraduate students and instructors. Based on two sample reports, the following differences were confirmed between international students and instructors' assessments of reports. First, instructors and students showed no differences in their assessments of the well-formatted report. However, the two groups exhibited differences in their assessments of the report that was not well formatted in that students evaluated the report more highly than instructors did. Second, instructors and students exhibited notable differences in their assessments of items such as citation, logic, and expression. This may have been because students lacked knowledge on citation methods and the use of grounds for arguments based on citation methods and topics. Third, students and instructors showed differences in their areas of focus when evaluating reports. Instructors mostly focused on the main topics of each report, whereas students focused on supporting details for the main topics. Based on these findings, instructors need to emphasize the following areas in educating international undergraduate students on report writing. First, they should stress proper source citation. They should provide frequent guidance on how to accurately cite sources. Second, they should help students to first think about the overall form and content of their reports. Instructors should emphasize that having a logical overall report structure and content that is relevant to the subject is more important in general than grammar or accuracy of vocabulary.

• The Journal of Korean Medicine
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• v.39 no.4
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• pp.136-157
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• 2018

Objectives: This systematic review aimed to put the case reports of lung cancer on Korean medicine (KM) together and adopt the results in clinical practice. Methods: Researches were searched using the PubMed, EMBASE, OASIS, KoreanTK, KISTI, RISS, KISS, and NDSL. The search term were 'lung cancer' and KM. There was no restriction in year. Results: 1. Among the 48 studies, 68 patients were reported in total. The types of lung cancer were non-small-cell lung cancer (n=41) and small-cell lung cancer (n=6). 2. The number of patients who received KM therapy alone was 40. On the other hand, 25 patients were treated with KM and chemotherapy simultaneously. All case reports used herbal medicine except 2 studies. Other types of treatment were acupuncture, moxibustion, pharmacopuncture, cupping, meditation, etc. 3. Several efficacy evaluation variables were used such as tumor size, changes of symptoms, duration of survival, the quality of life, and so on. The safety was evaluated by checking adverse effects using blood test. 4. Regarding the tumor response, partial response was reported in 12 cases, stable disease was in 22 cases, 50% of the total cases, which is a high level of tumor response. Furthermore, all 11 cases with the evaluation on the length of survival showed prolonged survival than the expectancy of corresponding stage, with the stable quality of life. Conclusion: We have found that the applicability of KM for treatment of lung cancer through this review. Evidence based medicine can be realized by checking cases and applying them in clinical practice.

• Child Health Nursing Research
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• v.28 no.3
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• pp.208-217
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• 2022

Purpose: This study investigated childhood cancer survivors' behavior related to a healthy lifestyle during their survival period by comparing reports between childhood cancer survivors and their parents. Methods: In this comparative descriptive study, a survey was conducted with a 33-item questionnaire and one open-ended question about areas for improvement. The participants comprised 69 childhood cancer survivors and 69 of their parents, for a total of 138. Results: The total mean healthy lifestyle score, on a 4-point Likert scale, reported by childhood cancer survivors was 2.97, while that reported by their parents was 3.03. No significant differences in children's healthy lifestyles were found between childhood cancer survivors' and their parents' reports (t=0.86, p=.390). For the open-ended question, the main keywords based on the results of degree and eigenvector centrality were "exercise", "unbalanced diet", and "food". These keywords were present in both the children's and parents' responses. Conclusion: Obtaining information on childhood cancer survivors' healthy lifestyles based on reports from themselves and their parents provides meaningful insights into the improvement of health care management. The results of this study may be used to develop and plan healthy lifestyle standards to meet childhood cancer survivors' needs.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.744-751
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• 2022

Construction is among the most dangerous industries with numerous accidents occurring at job sites. Following an accident, an investigation report is issued, containing all of the specifics. Analyzing the text information in construction accident reports can help enhance our understanding of historical data and be utilized for accident prevention. However, the conventional method requires a significant amount of time and effort to read and identify crucial information. The previous studies primarily focused on analyzing related objects and causes of accidents rather than the construction activities. This study aims to extract construction activities taken by workers associated with accidents by presenting an automated framework that adopts a deep learning-based approach and natural language processing (NLP) techniques to automatically classify sentences obtained from previous construction accident reports into predefined categories, namely TRADE (i.e., a construction activity before an accident), EVENT (i.e., an accident), and CONSEQUENCE (i.e., the outcome of an accident). The classification model was developed using Convolutional Neural Network (CNN) showed a robust accuracy of 88.7%, indicating that the proposed model is capable of investigating the occurrence of accidents with minimal manual involvement and sophisticated engineering. Also, this study is expected to support safety assessments and build risk management systems.

• Korea Trade Review
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• v.45 no.6
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• pp.23-43
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• 2020

This study aims at analyzing the interactions between two of the most significant trade stakeholders in Korea, the Trade Ministry and the Legislature, using text network analysis. Tackling seven Action and Plan Reports for Requests from Parliamentary Inspection released by the National Assembly, this paper conducts a topic modelling analysis, particularly focusing on the reports for the three trade-related institutes: the MOTIE headquarter, Korea Trade Insurance Corporation, Korea Trade and Investment Promotion Agency. According to the analysis, such traditional topics of the MOTIE as enterprise, industry, business, management, development were frequently appeared in the reports. Trade-related topics including export, trade, commerce, investment, overseas, domestic, dispute, cooperation, efficiency, negotiation, service, promotion were repeatedly shown. Lastly, a case study on 2019 Parliamentary Inspection Report showed specific trade-related topics and relevant contents that raised issues in that year. This analysis implies that the text data driven from the Parliamentary Inspection Reports between the MOTIE and the National Assembly, can be established as so called 'trade policy information system' which are valuable not only for the two but also the rest of the trade stakeholders in Korea.