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레진 시멘트를 이용한 레진 파이버 강화 레진포스트의 치근 상아질에 대한 미세인장결합강도 (MICROTENSILE BONDING OF RESIN FIBER REINFORCED POST TO RADICULAR DENTIN USING RESIN CEMENT)

  • 김진우;유미경;이세준;이광원
    • Restorative Dentistry and Endodontics
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    • 제28권1호
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    • pp.80-88
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    • 2003
  • Object The purpose of this study were to evaluate the microtensile bond strength of resin fiber reinforced post to radicular dentin using resin cement according to various dentin surface treatment and to observe the inter face between post and root dentin under SEM Material and Method A total 16 extracted human single rooted teeth were used. A lingual access was made using a #245 carbide bur in a high-speed handpiece with copious air water spray. The post space was mechanically enlarged using H-file(up to #60) and Gates Glidden bures(#3). This was followed by refining of the canal space using the calbrating drill set provided in ER Dentinpost(GEBR, BRASSELER GmbH&Co. KG). The 16 teeth were randomly distributed into 4 group of 4 teeth. Group 1 teeth had their post space prepared using 10% phosphoric acid as root canal surface treatment agent during 20s. The canal was then rinsed with saline and dried with paper point. Group 2 teeth had their post space prepared using 3% NaOCl as root canal surface treatment agent during 30min. The canal was then rinsed with saline and dried with paper point. Group 3 teeth had their post space prepared using 17% EDTA as root canal surface treatment agent during 1min. The canal was then rinsed with saline and dried with paper point. Group 4 teeth had their post space prepared using 17% EDTA as root canal surface treatment agent during 1min. After rinsing with saline, the canal was rinced 10m1 of 3% NaOCl for 30min. After drying with paper point, the post(ER Dentinpost, GEBR, BRASSELER GmbH&Co. KG) was placed in the treated canals using resin cement. Once the canal was filled with resin cement(Super bond C&B sunmedical co. Ltd.), a lentulo was inserted to the depth of the canal to ensure proper coating of the root canal wall. After 24 hours, acrylic resin blocks($10{\cdot}10{\cdot}50mm$) were made. The resin block was serially sectioned vertically into stick of $1{\cdot}1mm$. Twenty sticks were prepared from each group. After that, tensile bond strengths for each stick was measured with Microtensile Tester. Failure pattern of the specimen at the interface between post and dentin were observed under SEM. Results 1. Tensile bond strengths(meen{\pm}SD$) ) were expressed with ascending order as follows group 4, $12.52{\pm}6.60$ ; group 1, $7.63{\pm}5.83$ ; group 2, $4.13{\pm}2.31$ ; group 3, $3.31{\pm}1.44$. 2. Tensile bond strengths of Group 4 treated with 17% EDTA +3%NaOCl were significant higher than those of group 1, 2 and 3 (p<0.05). 3. Tensile bond strengths of Group 1 treated with 10% phosphoric acid were significant higher than those of group 2 (p<0.05). Tensile bond strengths of Group 4 treated with 17% EDTA +3% NaOCl was significant higher than those of other groups.

역사를 위하여: 아키비스트와 역사가의 역할 -공공기록보존소를 중심으로- (For History : Roles of Historians and Archivists - Public Archives, Archivists, and Historians -)

  • 이상민
    • 기록학연구
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    • 제6호
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    • pp.225-262
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    • 2002
  • Chief Consultant Archives Government Archives & Records Service -table of contents- 1. Introduction 2. Relationship of Historical Studies and Archive 3. Relationship of Archives and Archives 4. Conclusion; Historians, Archives, and Archivists, and Their Roles This essay is mainly written for historians who may have "little or limited experience" in dealing with archives and archivists in their course of historical research. It may sound very ridiculous to say that "historians have little or limited experience" in using archives but it is also true that many Korean historians have depended on various compiled editions of historical materials or personally donated and/or collected materials when they do research, rather than they would visit archives and search for the materials by themselves. This is the main reason for that the public archives in Korea have not served historians well and effectively, and vice versa, that historians have not visited archives sometime with no knowledge of archives, and have not requested opening of archives for their research. It is a simple fact that historian's study depends on the records he/she uses. Without records, there should be no history. Use of archives for historical research is a common thing and a must in modern archives. Records are selected to be preserved in archives for their preservation as well as their future use. Who select the records as archives? Archivists do mostly. Then, what are the criteria for the archivists to chose records as permanent preservable archives? Answers to this fundamental question have been provided by many historians and archivists. The closest answer may be that selecting archivists would be better trained and equipped with historical research and knowledgeable of the major trends in historical research. With his/her own experience of historical research and tracing the trends of historical studies and materials used in the historiography, they could chose better and appropriate records for future use using their prudence and discretion. It also means that historians have had influence on archivists in their selecting archives by providing the theme and context of historical studies of the time. Though not necessarily becoming a historian themselves, selecting or appraising archivists should understand the process of creating the records and should know how they become archives. This is a precondition to become a good archivist. But that's not all. They must know how the archives are used and what archives are used for what purposes. Among many other roles of modern archivists, selecting and describing the archives are the foremost tasks of an archivist. Archivists therefore developed modern methods to select future archives based on functional analysis and records series concept rather than a record file or item as a unit of selection. Historians are users or consumers of the archives held in the archives building or repository. The quality of their study depends on the "quality" of the materials they use. With the help of archivists not to mention of reference service, historians owe much to archivists in having an access to the materials they need, intellectually and physically. Too many closed archives and too long closed archives in the archives repository would benefit neither historians nor archivists. However, archivists can mostly react only to archive requests and demands made by historians for more wide accessibility. Using the FOIA, as in the U.S., or the Information Opening Act, as in case of Korea, historians can promote the use of historical materials as well as promoting accountability and transparence for the benefit to society as whole. In this context, it is vary desirable to establish a close professional relationship between historians and archivists even in the age of information society. At present, historians need more understanding of operation and importance of archives while archives administration need to realize the potential archival demands from research community and civil movement for clean government.

기침 소리의 다양한 변환을 통한 코로나19 진단 모델 (A COVID-19 Diagnosis Model based on Various Transformations of Cough Sounds)

  • 김민경;김건우;최근호
    • 지능정보연구
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    • 제29권3호
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    • pp.57-78
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    • 2023
  • 2019년 11월 중국 우한시에서 발병한 코로나19는 2020년 중국을 넘어 세계로 퍼져나가 2020년 3월에는 전 세계적으로 확산되었다. 코로나19와 같이 전염성이 강한 바이러스는 예방과 확진시 적극적인 치료도 중요하지만 우선 전파 속도가 빠른 바이러스인 점을 감안할 때, 확진 사실을 재빠르게 파악하여 전파를 차단하는 것이 더욱 중요하다. 그러나 감염여부를 확인하기 위한 PCR검사는 비용과 시간이 많이 소요되고, 자가키트검사 또한 접근성은 쉽지만 매번 수시로 받기에는 키트의 가격이 부담이 될 수밖에 없는 실정이다. 이러한 상황에서 기침 소리를 기반으로 코로나19 양성 여부를 판단할 수 있게 된다면 누구나 쉽게 언제, 어디서든 확진 여부를 체크할 수 있어 신속성과 경제성 측면에서 큰 장점을 가질 수 있을 것이다. 따라서 본 연구는 기침 소리를 기반으로 코로나19 확진 여부를 식별할 수 있는 분류 모델을 개발하는 것을 목적으로 하였다. 이를 위해, 본 연구에서는 먼저 MFCC, Mel-Spectrogram, Spectral contrast, Spectrogram 등을 통해 기침 소리를 벡터화 하였다. 이 때, 기침 소리의 품질을 위해 SNR을 통해 잡음이 많은 데이터는 삭제하였고, chunk를 통해 음성 파일에서 기침 소리만 추출하였다. 이후, 추출된 기침 소리의 feature를 이용하여 코로나 양성과 음성을 분류하기 위한 모델을 구축하였으며, XGBoost, LightGBM, FCNN 알고리즘을 통해 모델 학습을 수행하고 각 알고리즘별 성능을 비교하였다. 또한, 기침 소리를 다차원 벡터로 변환한 경우와, 이미지로 변환한 경우에 대해 모델 성능에 대한 비교 실험을 수행하였다. 실험 결과, 건강상태에 대한 기본정보와 기침 소리를 MFCC, Mel-Spectogram, Spectral contrast, 그리고 Spectrogram을 통해 다차원 벡터로 변환한 feature를 모두 활용한 LightGBM 모델이 0.74의 가장 높은 정확도를 보였다.