• 제목/요약/키워드: Database Quality

검색결과 1,374건 처리시간 0.027초

Complications reported with the use of orthodontic miniscrews: A systematic review

  • Giudice, Antonino Lo;Rustico, Lorenzo;Longo, Miriam;Oteri, Giacomo;Papadopoulos, Moschos A.;Nucera, Riccardo
    • 대한치과교정학회지
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    • 제51권3호
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    • pp.199-216
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    • 2021
  • Objective: The aim of this systematic review was to evaluate the complications and side effects associated with the clinical use of orthodontic miniscrews by systematically reviewing the best available evidence. Methods: A survey of articles published up to March 2020 investigating the complications associated with miniscrew insertion, in both the maxilla and mandible, was performed using 7 electronic databases. Clinical studies, case reports, and case series reporting complications associated with the use of orthodontic miniscrew implants were included. Two authors independently performed study selection, data extraction, and risk-of-bias assessment. Results: The database survey yielded 24 articles. The risk-of-bias assessment revealed low methodological quality for the included studies. The most frequent adverse event reported was root injury with an associated periradicular lesion, vitality loss, pink discoloration of the tooth, and transitory loss of pulp sensitivity. Chronic inflammation of the soft tissue surrounding the miniscrew with mucosal overgrowth was also reported. The other adverse events reported were lesion of the buccal mucosa at the insertion site, soft-tissue necrosis, and perforation of the floor of the nasal cavity and maxillary sinus. Adverse events were also reported after miniscrew removal and included secondary bleeding, miniscrew fracture, scars, and exostosis. Conclusions: These findings highlight the need for clinicians to preliminarily assess generic and specific insertion site complications and side effects.

Quality Assessment of Clinical Practice Guidelines for Ankle Sprains Using the Appraisal of Guidelines for Research and Evaluation II Assessment Tool

  • Jun-Yeong, Jang;Min-Gi, Jo;Min-Jung, Ko;Sang-Yeup, Chae;Seungeun, Lee;Dongmin, Lee;Jung-Hyun, Kim;Bonhyuk, Goo;Byung-Kwan, Seo;Yong-Hyeon, Baek;Sang-Soo, Nam;Yeon-Cheol, Park
    • Journal of Acupuncture Research
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    • 제39권4호
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    • pp.249-257
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    • 2022
  • This study aimed to evaluate clinical practice guidelines (CPGs) for ankle sprains using the Appraisal of Guidelines for Research and Evaluation II tool, using electronic databases (GIN, PubMed, EMBASE, NCKM, CNKI, CiNii, WanFang database, RISS, and SCOPUS), to suggest strategies for improvement in the future. The search was performed on April 23, 2021 and 10 CPGs were selected for evaluation. Three CPGs were recommended without modification (Class A scores), five were recommended with modification (Class B), and two were not recommended (Class C scores). The CPG domain that received the lowest score was "applicability." The traditional medicine CPGs scored higher [Class A (n = 1) and Class B (n = 1)] than the conventional Western medicine CPGs [Class A (n = 2), Class B (n = 4), and Class C (n = 2)] and were considered to be more methodical. In the future, more research into traditional medicine is required.

딥러닝 기반 전력선 통신 시스템의 임펄시브 잡음 제거 기법 (Cancellation Scheme of impusive Noise based on Deep Learning in Power Line Communication System)

  • 서성일
    • 한국인터넷방송통신학회논문지
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    • 제22권4호
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    • pp.29-33
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    • 2022
  • 본 논문은 스마트 그리드를 위한 전력선 통신 시스템에서 데이터 신뢰성을 향상시키는 딥러닝 기반의 사전 간섭 제거 알고리즘에 대해 연구하였다. 본 논문에서 제안한 기법은 딥러닝 기술을 적용하여 채널에서 발생하는 임펄시브 잡음을 예측하여 제거하는 기술로서 송신단에서 딥러닝에 의해 학습된 잡음들을 활용하여 효과적으로 잡음을 제거함으로써 신호의 품질을 향상시킬 수 있다. 딥러닝 기술의 잡음 예측 정확도를 향상시키기 위해 기존의 잡음 형태를 데이터베이스화하여 활용하였다. 채널 모델로서 Middleton Class A 간섭 모델을 사용하였고, 비트 오류율을 평가하여 성능을 검증하였다. 모의실험을 통해 간섭 제거 기법이 적용된 시스템 모델과 이론적인 모델의 비트오류율을 비교하여 제안하는 시스템이 잡음을 효과적으로 제거하여 신호의 품질 성능을 향상시킬 수 있음을 확인하였다. 제안한 시스템 모델은 전력선 통신뿐만 아니라 일반적인 통신 시스템에서도 신호의 품질을 향상시킬 수 있도록 다양하게 적용이 가능하다.

Effect and stability of miniscrew-assisted rapid palatal expansion: A systematic review and meta-analysis

  • Huang, Xinyi;Han, Yu;Yang, Shuangyan
    • 대한치과교정학회지
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    • 제52권5호
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    • pp.334-344
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    • 2022
  • Objective: This study aimed to systematically analyze the effect and stability of miniscrew-assisted rapid palatal expansion (MARPE) to provide a reference for the clinical treatment of patients with maxillary transverse deficiency (MTD). Methods: We searched PubMed, Science Direct, Web of Science, Embase, Cochrane Library, CNKI, and Wanfang Database for relevant studies published before February 18, 2021 and selected them according to the eligibility criteria. The Cochrane Handbook for Systematic Reviews (version 5.1.0) criteria were used for the quality assessment of randomized controlled trials, while the scoring protocol of the methodological index for non-randomized studies was used for non-randomized controlled trials. Statistical analysis was performed using the RevMan5.3 software. Results: All the included studies showed a relatively high success rate of expansion. The changes in both the intermolar and alveolar widths after MARPE were statistically significant. MARPE exhibited greater skeletal expansion effects than did conventional RPE. The midpalatal suture was opened in parallel after MARPE. A small amount of relapse was observed 1 year after expansion. MARPE caused tooth inclination and a decrease in alveolar height, but it was less significant than in conventional RPE. Conclusions: MARPE may be an effective treatment modality for patients with MTD. It causes great transverse skeletal expansion in late adolescence. In comparison to conventional RPE, MARPE has lower detrimental periodontal effects and has certain clinical advantages.

A Comparative Bibliometric Analysis and Visualization of Indian and South Korean Library and Information Science Research Publications During 2001-2020

  • Kappi, Mallikarjun;Biradar, B.S.
    • International Journal of Knowledge Content Development & Technology
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    • 제12권4호
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    • pp.67-94
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    • 2022
  • The paper aims to present a comparative analysis of scholarly research output in the fields of Library and Information Science (LIS) in India and South Korea. The Web of Science database was used to retrieve the bibliographic data of the Indian and South Korean LIS published documents during 2001-2020 and the indicators were included in the analysis: research productivity, publication-quality, most prolific authors, institutions and journals, "Annual Growth Rate (AGR)", "Compound Annual Growth Rate (CAGR)", "Relative Growth Rate (RGR)", and "Doubling Time (DT)". All types of documents such as articles, conference papers, book reviews, corrections, editorial materials, so on were included in the study. MS Excel, VOS viewer, and bibliometrix (R-tool) software were used for tabulation and mapping. The results show that South Korea placed the top in the overall output of LIS research publications during the last two decades. The Indian LIS research output, Annual Growth Rate (AGR), and Compound Annual Growth Rate (CAGR) were good compared to South Korean LIS publications. In addition, the South Korean LIS researchers' output has increased rapidly in terms of publications, citations, average citations. Gangan Prathap (India), Seyoung Lee, and Heejin Lee (SK) are the most prolific authors; Indian Institute Technology, Delhi and Yonsei University, Seoul are the most prolific institutions; and the Scientometrics journal was the most preferred journal by the Indian and South Korean LIS researchers during the study period. The results of this study are useful to administrators, policymakers, and academics. In addition, the scope of this study might include looking at research published by LIS scholars in India and South Korea, as well as examining all types of academic publications.

노인장기요양보험 서비스 이용에 따른 의료이용 및 의료비 지출 양상의 변화 (The Impact of Long-term Care Insurance on Medical Utilization and Medical Cost in South Korea)

  • 강희진;장수현;장선미
    • 보건행정학회지
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    • 제32권4호
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    • pp.389-399
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    • 2022
  • Background: This study aimed to analyze changes in medical utilization and cost before and after long-term care (LTC) implementation. Methods: We used the National Health Information Database from National Health Insurance Service. The participants were selected who had a new LTC grade (grade 1-5) for 2015. Medical utilization was analyzed before and after LTC implementation. Segmented regression analysis of interrupted time series was conducted to evaluate the overall effect of the LTC implementation on medical costs. Results: The total number of participants was 41,726. A major reason for hospitalization in grade 1 was cerebrovascular diseases, and dementia was the top priority in grade 5. The proportion of hospitalization in grade 1 increased sharply before LTC implementation and then decreased. In grade 5, it increased before LTC implementation, but there was no significant difference after LTC implementation. As for medical cost, in grades 1 to 4, the total cost increased sharply before the LTC implementation, but thereafter, changes in level and trend tended to decrease statistically, and for grade 5, immediately after LTC implementation, the level change was decreasing, but thereafter, the trend change was increasing. Conclusion: Long-term care grades showed different medical utilization and cost changes. Long-term care beneficiaries would improve their quality of life by adequately resolving their medical needs by their grades.

플래너 밀러 재제조를 위한 역설계 및 마모 분석에 관한 연구 (A Study on the Reverse Engineering and Wear Analysis for Remanufacturing Planner Miller)

  • 최두한;공석환;변정원;김태우;홍대선
    • 한국산업융합학회 논문집
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    • 제25권6_2호
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    • pp.1103-1110
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    • 2022
  • The old machine tools that have been used for a long time cause both increase in defective rate and decrease in productivity compared to new machines due to wear and failure of their components. In order to improve productivity and quality of machined components through remanufacturing, it is necessary to analyze the wear and failure of major components of old machine tools. In this study, the process for reverse engineering is designed for the remanufacture of planner millers, which belong to a very large machine tool. Also, the suitability of the designed process is verified through the analysis of the selected remanufactured components. In the first step of the process, some major components of the aging planner miller are scanned using a 3D laser scanner. In the next step, reverse engineering is performed using the data obtained through 3D scanning. Finally, wear and failure analysis is performed by comparing the reverse engineering data with the scan data. As a result, this reverse design and wear analysis can complement the insufficient design database and reduce costs in the maintenance of remanufactured products.

라즈베리 파이를 이용한 생체신호 수집시스템 개발 (Development of Acquisition System for Biological Signals using Raspberry Pi)

  • 유승훈;김시태;김동수;이영건
    • 한국정보통신학회논문지
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    • 제25권12호
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    • pp.1935-1941
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    • 2021
  • 최근 다양한 분야에 적용되고 있는 딥러닝을 활용한 알고리즘 개발을 위해서는 양질의 풍부한 학습데이터가 갖춰져야 한다. 본 논문은 딥러닝 알고리즘 개발 시 활용도가 높고 정보 도출 시 유용한 광학 영상, 열화상, 음성 등의 생체신호 데이터를 동시에 수집하여 서버에 전송하는 생체신호 수집시스템을 제안한다. 수집기의 이동성을 높이기 위해 라즈베리 파이를 기반으로 제작하였고, 수집한 데이터는 무선 인터넷을 통해 서버로 전송한다. 복수의 수집기에서 동시에 데이터 수집이 가능하도록 피실험자별로 로그인을 위한 아이디를 부여했고, 이를 데이터베이스에 반영하여 데이터 관리가 용이하게 하였다. 제안하는 수집시스템의 활용방안을 보이기 위해 피로도 측정을 위한 생체신호 데이터 수집의 예시를 보인다.

Legal search method using S-BERT

  • Park, Gil-sik;Kim, Jun-tae
    • 한국컴퓨터정보학회논문지
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    • 제27권11호
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    • pp.57-66
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    • 2022
  • 본 논문에서는 Sentence-BERT 모델을 활용한 법률 문서 검색 방법을 제안한다. 법률 검색 서비스를 이용하고자 하는 일반인들은 법률 용어 및 구조에 대한 이해가 부족함에 따라 관련 판례 검색 등에 있어 어려움을 겪고 있다. 기존의 키워드 및 텍스트마이닝 기반 법률 검색 방법은 판결문의 문맥에 대한 정보가 없으며, 동음이의어 및 다의어에 대해 구분하기 어려워 성능을 높이는 데 한계가 있었다. 그로 인해 법률 문서 검색 결과에 대한 정확도가 낮아 신뢰하기가 어려웠다. 이를 위해, 대법원 판례 및 법률구조공단 상담사례 데이터에서 일반인의 법률 검색 문장에 대한 성능을 개선하고자 한다. Sentence-BERT 모델은 판례 및 상담 데이터에 대한 문맥 정보가 임베딩 되므로, 문장의 의미 손실이 적어 TF-IDF 및 Doc2Vec 검색 방법과 비교했을 때보다 검색 정확도가 개선된 것을 확인할 수 있었다.

Contact Tracking Development Trend Using Bibliometric Analysis

  • Li, Chaoqun;Chen, Zhigang;Yu, Tongrui;Song, Xinxia
    • Journal of Information Processing Systems
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    • 제18권3호
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    • pp.359-373
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    • 2022
  • The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to most countries and poses a challenge to the healthcare system. Contact tracing technology is an effective way for public health to deal with diseases. Many experts have studied traditional contact tracing and developed digital contact tracking. In order to better understand the field of contact tracking, it is necessary to analyze the development of contact tracking in the field of computer science by bibliometrics. The purpose of this research is to use literature statistics and topic analysis to characterize the research literature of contact tracking in the field of computer science, to gain an in-depth understanding of the literature development status of contact tracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, we conducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Which contains more than 10,000 articles, including more than 2,000 in the field of computer science. For popular trends, we use VOSviewer for visual analysis. The number of contact tracking documents published annually in the computer field is increasing. At present, there are 200 to 300 papers published in the field of computer science each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper, we found that the hot topic of contact tracking has changed from the past "mathematical model," "biological model," and "algorithm" to the current "digital contact tracking," "privacy," and "mobile application" and other topics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can display high-quality literature in contact tracking and characterize the development trend of the entire field through topic analysis. This is useful for students and researchers new to field of contact tracking ai well as for presenting our results to other subjects. Especially when comprehensive research cannot be conducted due to time constraints or lack of precise research questions, our research analysis can provide value for it.