http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
3D-CT를 이용한 골격성 III급 개방교합자의 악교정 수술 전, 후 설골 및 상기도의 변화
이윤섭,백형선,이기준,유형석 대한치과교정학회 2009 대한치과교정학회지 Vol.39 No.2
본 연구는 골격성 III급 개방교합자의 악교정 수술 전, 후 설골과 상기도의 변화를 3D-CT를 이용하여 관찰하고 이를 정상교합자와 비교하기 위하여 시행하였다. 전치부 개방교합을 동반한 골격성 III급 부정교합으로 진단되어 악교정 수술을 받은 환자 중 12명을 선정 후, 3D-CT를 통해 설골과 상기도의 3차원 입체영상을 분석하여, 악교정 수술 전, 후의 설골의 위치 변화 및 상기도의 부피 변화를 살펴보고, 이의 결과를 정상교합자 10명과 비교하였다. 설골은 골격성 III급 개방교합군에서 악교정 수술 전에 정상교합군의 설골에 비해 전방에 위치하고 있었고 악교정 수술 후 설골은 후, 상방으로 변화하였으나 유의성은 관찰되지 않았다. Hyoid plane과 mandibular plane이 이루는 각은 악교정 수술 전의 골격성 III급 개방교합군이 정상교합군보다 큰 값을 나타내었고, 악교정 수술 후에는 그 차이가 더욱 증가하였다. 골격성 III급 개방교합군의 상기도 부피는 정상교합자보다 작으며 이는, 악교정수술 후에 더욱 감소하였다. 3차원 영상 분석 결과, 골격성 III급 개방교합자의 상기도는 정상교합자에 비해 좁으며, 하악골 후퇴술 이후 더욱 감소하기 때문에 이는 수술적 개선의 안정성에 영향을 줄 수 있음을 알 수 있었다. Objective: The purpose of this study was to investigate the structural changes of the hyoid bone and upper airway after orthognathic surgery for skeletal class III anterior open bite patients, and make comparisons with normal occlusion. Methods: Pre- and post-operative computed tomography (CT) examinations were performed on 12 skeletal class III anterior open bite patients who were treated with mandibular setback osteotomy. Using the V-works 4.0 program, 3-dimensional images of the total skull, mandible, hyoid bone, and upper airway were evaluated. Results: In the Class III openbite group, the hyoid bone were all positioned anteriorly, compared to the Normal group (p < 0.05). The angle between the hyoid plane and mandibular plane in the Class III openbite group before surgery was greater than in the Normal group (p < 0.05), and the difference increased after surgery (p < 0.01). In the Class III openbite group, the volume of the upper airway decreased after surgery (p < 0.001) and the volume of the upper airway was smaller than the Normal group before and after surgery (p < 0.001). Conclusions: The narrow upper airway space in skeletal Class III openbite patients decreased after mandibular setback osteotomy. This may affect the post-surgical stability.
국내산 및 제초제 내성 콩(HS2906)의 일반성분, 무기질 및 지방산 조성
양윤형,이정희,김형진,윤원기,김환묵,김미리 동아시아식생활학회 2005 동아시아식생활학회지 Vol.15 No.1
Proximate analysis, mineral and fatty acid composition of three conventional domestic soybean cultivars and two imported ones including glyphosate-tolerant HS2906 were evaluated by AOAC method, ICP-AES and gas chromatography. There were several differences in the proximate analysis among three conventional domestic soybean cultivars ; higher crude fat in the cultivar Hwanggumkong, higher crude protein in Pungsankong, and higher carbohydrate and crude ash in Duyukong. The ranges of contents of proximate components of domestic cultivars were similar to the data previously reported. There were no significant differences in proximate analysis between conventional soybean WS82 and glyphosate-tolerant HS2906 ; 23.55~23.90% of crudefat, 34.22~35.55% of crude protein, 6.25~6.45% of crude ash, and 25.35~26.47% of carbohydrate. The mineral and fatty acid compositions of HS2906 were similar to those of conventional soybeans previously reported.
Lee Kyu-Chong,Lee Kee-Hyoung,Kang Chang Ho,Ahn Kyung-Sik,Chung Lindsey Yoojin,Lee Jae-Joon,Hong Suk Joo,Kim Baek Hyun,Shim Euddeum 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.12
Objective: To evaluate the accuracy and clinical efficacy of a hybrid Greulich-Pyle (GP) and modified Tanner-Whitehouse (TW) artificial intelligence (AI) model for bone age assessment. Materials and Methods: A deep learning-based model was trained on an open dataset of multiple ethnicities. A total of 102 hand radiographs (51 male and 51 female; mean age ± standard deviation = 10.95 ± 2.37 years) from a single institution were selected for external validation. Three human experts performed bone age assessments based on the GP atlas to develop a reference standard. Two study radiologists performed bone age assessments with and without AI model assistance in two separate sessions, for which the reading time was recorded. The performance of the AI software was assessed by comparing the mean absolute difference between the AI-calculated bone age and the reference standard. The reading time was compared between reading with and without AI using a paired t test. Furthermore, the reliability between the two study radiologists’ bone age assessments was assessed using intraclass correlation coefficients (ICCs), and the results were compared between reading with and without AI. Results: The bone ages assessed by the experts and the AI model were not significantly different (11.39 ± 2.74 years and 11.35 ± 2.76 years, respectively, p = 0.31). The mean absolute difference was 0.39 years (95% confidence interval, 0.33– 0.45 years) between the automated AI assessment and the reference standard. The mean reading time of the two study radiologists was reduced from 54.29 to 35.37 seconds with AI model assistance (p < 0.001). The ICC of the two study radiologists slightly increased with AI model assistance (from 0.945 to 0.990). Conclusion: The proposed AI model was accurate for assessing bone age. Furthermore, this model appeared to enhance the clinical efficacy by reducing the reading time and improving the inter-observer reliability
A novel approach to ultrasensitive diagnosis using supramolecular protein nanoparticles
Lee, Sung-Hyun,Lee, Hyewon,Park, Jin-Seung,Choi, Hyoung,Han, Kyung-Yeon,Seo, Hyuk-Seong,Ahn, Keum-Young,Han, Sung-Sik,Cho, Yunjung,Lee, Kee-Hyoung,Lee, Jeewon Federation of American Society for Experimental Bi 2007 The FASEB Journal Vol.21 No.7
<P>We report on the ultrasensitive protein nanoprobe system that specifically captures disease marker (autoantibodies of Type I diabetes in this case) with attomolar sensitivity. The system relies on supramolecular protein nanoparticles that bind a specific antibody [65 kDa glutamate decarboxylase (GAD65)-specific autoantibody, i.e., the early marker of Type I diabetes]. The ultrasensitive detection of early marker of Type I diabetes during the early phase of pancreatic beta-cell destruction is important because individuals at high risk of developing Type I diabetes can be identified several years before the clinical onset of the ailment. The bacterial expression of chimera genes encoding N-[human ferritin heavy chain (hFTN-H)]::[specific antigenic epitope]-C produces supramolecular nanoparticles with uniform diameters (10-15 nm), owing to self-assembly activity of hFTN-H. Each nanoparticle, formed by intermolecular self-assembly between the chimera protein molecules, is subjected to carrying a large number (presumably, 24) of epitopes with a homogeneous and stable conformation per autoantibody binding, thereby allowing substantial enhancement of sensitivity. The sensitivity was finally boosted to 3 attomolar concentration of the autoantibodies, 4-9 orders of magnitude more sensitive than conventional immunoassays. Also, this ultrasensitive protein nanoprobe successfully detected natural autoantibodies in the sera from Type I diabetic patients. The attomolar sensitivity was successfully reproduced on the detection of other antibodies, i.e., monoclonal antibodies against hepatitis B surface antigen. With the two antibody markers above, the feasibility of simultaneous and multiplexing-mode detection was also demonstrated.</P>
Korean National Emissions Inventory System and 2007 Air Pollutant Emissions
Lee, Dae-Gyun,Lee, Yong-Mi,Jang, Kee-Won,Yoo, Chul,Kang, Kyoung-Hee,Lee, Ju-Hyoung,Jung, Sung-Woon,Park, Jung-Min,Lee, Sang-Bo,Han, Jong-Soo,Hong, Ji-Hyung,Lee, Suk-Jo Korean Society for Atmospheric Environment 2011 Asian Journal of Atmospheric Environment (AJAE) Vol.5 No.4
Korea has experienced dramatic development and has become highly industrialized and urbanized during the past 40 years, which has resulted in rapid economic growth. Due to the industrialization and urbanization, however, air pollutant emission sources have increased substantially. Rapid increases in emission sources have caused Korea to suffer from serious air pollution. An air pollutant emissions inventory is one set of essential data to help policymakers understand the current status of air pollution levels, to establish air pollution control policies and to analyze the impacts of implementation of policies, as well as for air quality studies. To accurately and realistically estimate administrative district level air pollutant emissions of Korea, we developed a Korean Emissions Inventory System named the Clean Air Policy Support System (CAPSS). In CAPSS, emissions sources are classified into four levels. Emission factors for each classification category are collected from various domestic and international research reports, and the CAPSS utilizes various national, regional and local level statistical data, compiled by approximately 150 Korean organizations. In this paper, we introduced for the first time, a Korean national emissions inventory system and release Korea's official 2007 air pollutant emissions for five regulated air pollutants.