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정부 및 공공기관의 BIM적용 사례 분석 및 발주기관을 위한 BIM기반 철도인프라 정보관리체계 개발 연구
이근일(Lee Geun Il),박정준(Park Jung Jun),최형래(Choi Hyung lae),신민호(Shin Min Ho) 한국BIM학회 2018 KIBIM Magazine Vol.8 No.1
Domestic and foreign software components are rapidly developing continuously. However, the government’s plan to activate BIM remains relatively sluggish. In particular, BIM based information management systems have been developed to enable the development of degraded railway industries in infrastructure BIM based areas. For this purpose, we analyzed domestic and oversea policies and guidelines. We conducted a survey on the personnel of the railroad corporation. Based on the survey result, the elements applicable to BIM were reflected in the system.
이근의,최진주,이영지,유선희,이선호,LEE, Geun Ui,CHOI, Jin Ju,LEE, Young Ji,YOO, Seon Hee,LEE, Sun Ho 대한핵의학기술학회 2022 핵의학 기술 Vol.26 No.1
Purpose In the meantime, there have been not many samples that require dilution, and it has been difficult for the examiner to set an appropriate dilution multiple for RIA test item and report the results. Accordingly, it was judged that it was necessary to set the maximum dilution multiple for each test and to verify the upper limit of the clinical reportable range. Therefore, in this study, the maximum dilution multiple for each RIA test was set and the upper limit of the clinical reportable range was verified accordingly Materials and Methods Among all RIA tests conducted at Asan Medical Center, the study treated on 30 types of tests which also conduct the dilution test. Data from March to July 2021 were collected and analyzed. The study was conducted on samples subjected to serial dilutions such as X2, X4 or X10, X10<sup>2</sup>, X10<sup>3</sup>, X10<sup>4</sup>, X10<sup>5</sup>. Results Among a total of 30 test types, 18 test types have more than 5 N values in the tolerance range of 80~120%. As a result of the verification of maximum dilution multiples, the test set to 10<sup>4</sup> is 𝛼-fetoprotein and thyroglobulin, and the test set to 10<sup>3</sup> is CA-125, CEA, and 𝛽-hCG, and the test set to 10<sup>2</sup> is Free PSA, PSA, CA15-3, SCC, Ferritin, PTH, Cortisol, and Calcitonin. Tests set to 10 include three categories: 𝛽2-Microglobulin, C-peptide, and Testosterone. Conclusion It is expected that it will contribute to improving the quality of nuclear medicine blood tests as the results of dilution experiments can be reported quickly and accurately through the verification of the clinical reportable range.
이근,Lee, Geun 한국건강관리협회 1987 건강소식 Vol.11 No.1
기침이나 콧물은 겨울철의 자연 현상쯤으로 생각하고 더구나 감기 정도는 겁내지 말고 그보다는 아기가 여러가지를 경험하고 새로운 것에 접할 수 있도록 유도하는 것이 현명하다.
이근,엄유정,정의원,김창성,최성호,조규성,채중규,Lee, Geun,Um, Yoo-Jung,Jung, Ui-Won,Kim, Chang-Sung,Choi, Seong-Ho,Cho, Kyoo-Sung,Chai, Jung-Kiu 대한치주과학회 2009 Journal of Periodontal & Implant Science Vol.39 No.4
Purpose: The presented study aims to evaluate the effects of osteoporosis on dental implants by analyzing a 12-year cumulative survival rate of implants placed in patients with osteoporosis. Methods: 37 patients with history of osteoporosis were selected from a pool of dental implant patients treated at the Department of Periodontology in Yonsei University Hospital between 1993 and 2007. The cumulative survival rate is quantified using data collected from 164 placed implants in the selected 37 patients. Results: 3 out of the 164 implants failed and the cumulative survival rate was observed at 95.1%. The survival rates of the implants according to patients' age were 97.41% (<60) and 100% ($60\leq$). The lower survival rate was directly proportional to younger age, and this relationship is statistically significant (P<0.05). The survival rates of implants according to diagnostic criteria were 95.45% (osteopenia) and 98.59% (osteoporosis; 2 out of 142 implants placed in osteoporosis patients failed). The difference in the two survival rates is statistically significant (P<0.05). The survival rates according to the region of implants do not have statistically significant difference. The survival rates according to the different length and diameter of the implants do not have statistically significant difference. The survival rates of implants accompanied and not accompanied by bone augmentation were 92.11% and 100%, respectively. The difference in the two survival rates is statistically significant (P<0.05). The survival rates of implants placed in patients with and without history of medication for osteoporosis treatment are 96.67% and 99.04%, respectively. The difference in the two survival rates is statistically significant (P<0.05). Conclusions: A high cumulative survival rate of dental implants, similar to one found in non-osteoporosis patients, is observed in osteoporosis patients, indicating the possibility that placing dental implants on patients with osteoporosis can be considered with high treatment predictability.