• Journal of Industrial Convergence
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• v.20 no.6
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• pp.27-35
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• 2022

The purpose of this study is to analyze the metaverse-related issues in the news big data from an educational perspective, explore their characteristics, and provide implications for the educational applicability of the metaverse and future education. To this end, 41,366 cases of metaverse-related data searched on portal sites were collected, and weight values of all extracted keywords were calculated and ranked using TF-IDF, a representative term weight model, and then word cloud visualization analysis was performed. In addition, major topics were analyzed using topic modeling(LDA), a sophisticated probability-based text mining technique. As a result of the study, topics such as platform industry, future talent, and extension in technology were derived as core issues of the metaverse from an educational perspective. In addition, as a result of performing secondary data analysis under three key themes of technology, job, and education, it was found that metaverse has issues related to education platform innovation, future job innovation, and future competency innovation in future education. This study is meaningful in that it analyzes a vast amount of news big data in stages to draw issues from an education perspective and provide implications for future education.

• Trans-
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• v.12
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• pp.141-171
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• 2022

This study was conducted to understand media and cultivate personality by using media as data for personality education. To achieve this purpose, the Personality Education Promotion Act and the Korea Educational Development Institute's personality virtues were selected as educational elements, and a personality education program using media was developed in combination with the middle school curriculum. For this study, first, in order to extract personality virtues, 13 personality virtues were finally selected as educational elements by comparing and synthesizing the personality virtues of the Personality Education Promotion Act and the Korea Education Development Institute. The final personality virtues selected are self-esteem, courage, sincerity, self-regulation, wisdom, consideration, communication, courtesy, social responsibility, cooperation, citizenship, justice, and respect for human rights. Second, in order to select media and set the direction of development of personality education programs, the process of collecting media data was confirmed, and the direction and goal of the program were set by analyzing the middle school curriculum. Third, in order to propose a method of applying a personality education program using media, the personality grafting unit was selected by referring to the commentary on all subjects of the 2015 revised curriculum.

• The Journal of Korean Medicine
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• v.43 no.1
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• pp.136-153
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• 2022

Objectives: The aim of this study was to find out whether east asian herbal medicine (EAHM) treatment alone is effective in improving pregnancy-related indicators compared to conventional medicine in women with Diminished Ovarian Reserve (DOR). Methods: We searched eligible studies from PubMed, Cochrane Library, EMBASE, Chinese National Knowledge Infrastructure Database, CiNii, Korean Medical Database, Korean Studies Information Service System, Oriental Medicine Advanced Searching Integrated System, ScienceOn. GRADE pro was used to evaluate the current evidence of the study. Result: A total of 5 studies, 325 women with DOR were included. EAHM showed a significant effect on improvement of pregnancy rate (n=270, RR 2.13 [95% CI 1.44 to 3.15], Z=3.78, p=0.0002, I2=0%) and Anti-Mullerian Hormone (AMH) level (n=211, SMD 0.82 [95% CI 0.40 to 1.25], Z=3.80, p=0.0001) compared to conventional medicine. In ovulation rate (n=156, RR 0.86 [95% CI 0.70 to 1.06], Z=1.43, p=0.15, I2=0%), Antral Follicle Count (n=245, SMD 0.27 [95% CI -0.25 to 0.79], Z=1.01, p=0.31), and follicle stimulating hormone (n=245, SMD 0.29 [95% CI -0.13 to 0.70], Z=1.36, p=0.17) level, EAHM showed similar effects to conventional medicine. In this study, the most frequently used herbal medicines were Cuscutae Semen, Dipsaci Radix, and Angelicae Gigantis Radix. Conclusion: This meta-analysis showed that EAHM could improve pregnancy rates and AMH levels in women with DOR. However, more well-designed RCTs will have to be performed further in the future.

• Informatization Policy
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• v.29 no.2
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• pp.106-126
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• 2022

The digital divide issue is re-emerging in step with the rapid progress of digital transformation. Recently, the discussion of the digital divide is expanding to the point that the difference in digital access and use competency deepens economic and social inequality and discrimination. Notably, the phenomenon of the exclusion and alienation of the elderly from society is a serious matter to be addressed. Accordingly, this research was conducted to provide practical help in minimizing the digital divide through its understanding among the elderly. To this end, both the accomplished capital accumulated and experienced in the course of life and their attitudes toward technology in relation to digital competence capital by the elderly were examined in three dimensions. This analysis was conducted using the results of the '2020 The Report on the Digital Divide'. The target group of the analysis comprised 653 seniors aged 65 and above. As a result of the analysis, digital competence capital among the elderly was affected by both various types of accomplished capital such as educational, income, social, and emotional capital and digital device use attitude. Based on this, this study proposed measures to bridge the digital divide among the elderly.

• Journal of Dental Anesthesia and Pain Medicine
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• v.22 no.5
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• pp.323-338
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• 2022

Burning mouth syndrome (BMS) is a chronic oral disorder of unknown etiology which presents therapeutic challenges. Alpha-lipoic acid (ALA) has been studied as a potential treatment for BMS. The objective of this systematic review and meta-analysis was to evaluate the effectiveness of ALA compared to that of placebo or other interventions in individuals with BMS. Randomized controlled trials (RCT) using ALA to treat BMS were identified from MEDLINE, Cochrane Library, EMBASE, and Web of Science up to February 3, 2021. The assessment of the risk of bias in the included studies was based on the Cochrane guidelines. The primary outcome evaluated was the visual analog scale (VAS) pain intensity. ALA was compared with placebo, clonazepam, gabapentin, pregabalin, ALA plus gabapentin, capsaicin, Biotène^®, and laser therapy. Altogether, 137 records were scanned for inclusion/exclusion, and nine RCTs (two unclear and seven at high risk of bias) were included in the qualitative and quantitative analyses, with a total of 594 patients with BMS included in this review. All studies reported an improvement in VAS pain scores ranging from -0.72 to -2.77. Meta-analysis results showed a non-significant reduction in pain intensity for ALA (P = 0.616) compared to that of placebo on a VAS of 0-10. Patients taking ALA were 1.923 times more likely to show an improvement in self-reported BMS symptoms (P = 0.031) than those in the placebo group. Clonazepam and pregabalin showed a significant VAS pain reduction of 4.08 and 4.68 (P < 0.001), respectively, compared to that with ALA. Although ALA intervention provided a non-significant improvement in the pain score and was more likely to produce a reduction in BMS symptoms, the evidence was of low quality. Further research is needed to establish clear guidelines for the use of ALA for BMS treatment.

• Korean Journal of Acupuncture
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• v.40 no.3
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• pp.62-78
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• 2023

Objectives : This study aims to assess the impact of acupotomy on migraine through an examination of clinical studies conducted since 2015. Methods : We conducted a comprehensive search for randomized controlled trials (RCTs) and non-randomized controlled trials (nRCTs) related to acupotomy treatment for migraine, utilizing five Korean online databases (OASIS, Science ON, DBPIA, KISS, RISS), as well as four foreign online databases (CNKI, PubMed, EMBASE, Cochrane Library). We identified a total of 10 relevant studies for analysis. Participants characteristics, treatment points, combination treatments, treatment cycles or frequencies, evaluation indices, efficacy, and adverse events were analyzed. The risk of bias in the 10 RCTs was assessed using the Revised Cochrane risk-of-bias tool for randomized trials (RoB 2.0). Results : A total of 931 participants were included in 10 studies. In the intervention group, the average duration of migraine morbidity ranged from 15.5±4.5 months to 15.9±4.2 years. Six studies based their diagnoses on the International Classification of Headache Disorders (ICHD), while five studies relied on Chinese diagnostic criteria. All studies specified the treatment area as the region exhibiting tenderness or induration on the head and neck. Treatment cycles ranged from a minimum of 2 days to a maximum of 1 week, with the number of days per treatment course varied from 5 days to 4 weeks. The diameter of acupuncture needles used varied between 0.3 mm and 1 mm. Of the eight studies specifying needle length, the shortest was 20 mm, and the longest was 40 mm. A total of eight evaluation indices were employed, with total efficacy rate (TER) and visual analogue scale (VAS) being the most frequently used. Statistically, all intervention groups showed more significant results compared to the control groups. Adverse events were reported in only two studies within the intervention group. Overall, the risk of bias assessment for the selected RCTs ranged from 'some concerns' to 'high risk of bias.' Conclusions : This study showed that acupotomy treatments for migraine were effective.

• Journal of the Korean Society for information Management
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• v.40 no.1
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• pp.121-148
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• 2023

The purpose of this study is to propose a scholarly paper recommendation system based on metadata attribute similarity with excellent performance. This study suggests a scholarly paper recommendation method that combines techniques from two sub-fields of Library and Information Science, namely metadata use in Information Organization and co-citation analysis, author bibliographic coupling, co-occurrence frequency, and cosine similarity in Bibliometrics. To conduct experiments, a total of 9,643 paper metadata related to "inequality" and "divide" were collected and refined to derive relative coordinate values between author, keyword, and title attributes using cosine similarity. The study then conducted experiments to select weight conditions and dimension numbers that resulted in a good performance. The results were presented and evaluated by users, and based on this, the study conducted discussions centered on the research questions through reference node and recommendation combination characteristic analysis, conjoint analysis, and results from comparative analysis. Overall, the study showed that the performance was excellent when author-related attributes were used alone or in combination with title-related attributes. If the technique proposed in this study is utilized and a wide range of samples are secured, it could help improve the performance of recommendation techniques not only in the field of literature recommendation in information services but also in various other fields in society.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.219-240
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• 2023

Conversational AI which allows users to interact with satisfaction is a long-standing research topic. To develop conversational AI, it is necessary to build training data that reflects real conversations between people, but current Korean datasets are not in question-answer format or use honorifics, making it difficult for users to feel closeness. In this paper, we propose a conversation dataset (KOMUChat) consisting of 30,767 question-answer sentence pairs collected from online communities. The question-answer pairs were collected from post titles and first comments of love and relationship counsel boards used by men and women. In addition, we removed abuse records through automatic and manual cleansing to build high quality dataset. To verify the validity of KOMUChat, we compared and analyzed the result of generative language model learning KOMUChat and benchmark dataset. The results showed that our dataset outperformed the benchmark dataset in terms of answer appropriateness, user satisfaction, and fulfillment of conversational AI goals. The dataset is the largest open-source single turn text data presented so far and it has the significance of building a more friendly Korean dataset by reflecting the text styles of the online community.

• Journal of Korean Medicine Rehabilitation
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• v.33 no.3
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• pp.97-113
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• 2023

Objectives This study examined the trends in domestic and international research on the treatment of sarcopenia and analyzed the effectiveness of the treatment. Based on the results, we suggest directions for future Korean medicine research on sarcopenia. Methods The study was conducted using Arksey and O'Malley's scoping review methodology. It included three international databases (PubMed, EMBASE, Cochrane Library) and five domestic databases (Korean studies Information Service System, Korean Medical database, Oriental Medicine Advanced Search Integrated System, Research Information Sharing Service, ScienceON) were used. Literatures published until April 30, 2023, including the contents of 'sarcopenia' and Korean Medicine treatment', were searched. Results A total of 45 studies were included in the analysis. The number of studies on Korean medicine treatments for sarcopenia is steadily increasing, with the majority of studies coming from Asian countries. Of the 45 studies, 30 were conducted in the field of medicine, and the study design was analyzed into 10 clinical studies and 35 non-clinical studies. Among the 10 clinical studies, the most common treatment interventions were herbs (n=4), followed by Daoist exercises (n=3). The most common diagnostic criteria used in clinical studies were those published by the Asian working group for sarcopenia, and various physical examinations and laboratory tests were used as outcome measures. Conclusions The future direction of Korean medicine research on sarcopenia should be to expand the number of clinical studies applying Korean medicine treatment interventions.

• Restorative Dentistry and Endodontics
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• v.47 no.4
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• pp.40.1-40.18
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• 2022

Objectives: This study aimed to investigate the influence of different obturation techniques compared to cold lateral compaction on the success rate of primary non-surgical endodontic treatments. Materials and Methods: Systematic searches were performed for studies published up to May 17^th, 2022 in MEDLINE/PubMed, Cochrane Library, Web of Science, Scopus, EMBASE, and Grey Literature Reports. Randomized clinical trials and nonrandomized (nonrandomized clinical trials, prospective or retrospective) studies that evaluated the success rate of primary non-surgical endodontic treatments obturated with the cold lateral compaction (control) and other obturation techniques were included. The revised Cochrane risk of bias tools for randomized trials (RoB 2) and nonrandomized studies of interventions (ROBINS-I) were used to evaluate the risk of bias. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) tool was used to evaluate the certainty of evidence. Results: Eleven studies (4 randomized clinical trials (RCTs), 4 prospective, and 3 retrospectives) were included. Two RCTs were classified as having some concerns risk of bias and 2 as a low risk of bias. Two nonrandomized studies were classified as having a critical risk of bias and 5 as having a moderate risk of bias. The GRADE analysis demonstrated a very low to moderate certainty of evidence. Conclusions: This systematic review generally evidenced no differences in the success rate of primary non-surgical endodontic treatments when the cold lateral compaction technique and other obturation techniques are performed. Further well-designed studies are still necessary.