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A case of type B3 thymoma mimicking primary bone tumor
( Hyeonsik Yoon ),( Younak Choi ),( Tae-jung Jang ) 대한내과학회 2015 대한내과학회 추계학술대회 Vol.2015 No.1
Introduction: Thymomas are rare tumors with an annual incidence of less than 5 per million. The World Health Organization classification of thymoma is based on the morphology dividing thymomas into five groups(type A, AB, B1, B2, and B3). Herein, we report a male with a type B3 thymoma mimicking primary bone tumor. Case: An 81-year-old man found an abruptly protruding 7 × 6 cm sized mass in his left manubrium for two weeks. He did not have any associated symptom.He had a history of tobacco use but had stopped smoking 20 years earlier. Radiologic finding: A computed tomography scan and magnetic resonance imaging revealed a 5.6 × 7.2 × 12.1 cm sized mass lesion bursting symmetrically onto the front and rear direction from the manubrium. The lesion invaded anterior chest wall, mediastinum and apical lung accompanying an enlarged left para aortic lymph node (Fig. 1A). Pathologic finding: Percutaneous needle biopsy was performed. H & E staining revealed the perivascular and intratumoral lymphoid arrangement and hyperchromatic tumor cells with prominent nucleoli. Neoplastic cells are diffusely positive for pancytokeratin and p63 with especially strong positive for cytokeratin 5/6 and negative for CD5 (Fig. 1B). From thesefeatures, we diagnosed this tumor as a type B3 thymoma. Discussions: Type B3 thymoma is also known as epithelial thymoma, squamoid thymoma, and well-differentiated thymic carcinoma. We report this case reminding that thymoma is the most common neoplasm in the anterior mediastinum accounting for 40% of all mediastinal tumors in adults.
Negative Thermal Expansion Coefficient of Graphene Measured by Raman Spectroscopy
Yoon, Duhee,Son, Young-Woo,Cheong, Hyeonsik American Chemical Society 2011 NANO LETTERS Vol.11 No.8
<P>The thermal expansion coefficient (TEC) of single-layer graphene is estimated with temperature-dependent Raman spectroscopy in the temperature range between 200 and 400 K. It is found to be strongly dependent on temperature but remains negative in the whole temperature range with a room temperature value of (−8.0 ± 0.7) × 10<SUP>–6</SUP> K<SUP>–1</SUP>. The strain caused by the TEC mismatch between graphene and the substrate plays a crucial role in determining the physical properties of graphene, and hence its effect must be accounted for in the interpretation of experimental data taken at cryogenic or elevated temperatures.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/nalefd/2011/nalefd.2011.11.issue-8/nl201488g/production/images/medium/nl-2011-01488g_0004.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nl201488g'>ACS Electronic Supporting Info</A></P>
실천공학교육 관련 : 발표자의 긴장정도를 분석하는 원격제어 발표도구 제작에 관한 연구
김현식 ( Hyeonsik Kim ),한규환 ( Kyuhwan Han ),윤석범 ( Seokbeom Yoon ),장은영 ( Eunyoung Chang ) 한국실천공학교육학회 2014 실천공학교육논문지 Vol.6 No.2
발표자료를 표시하는 프로그램 제어용 도구인 프레젠테이션 리모트 컨트롤러(presentation remote controller)를 발전시켜 단순한 페이지별 이동기능 외에 발표자의 긴장도를 실시간으로 확인하고 인체 반응 상태를 점검하며, 발표능력과 전달의도가 정확하지 못한 부분을 미리 확인하고 보완할 수 있는 지능 부가형 제어기 구성을 제안하고 성능을 시험한다. 제어기로는 스마트 폰이 사용되며 블루투스(bluetooth) 모듈을 인터페이스로 하여, 실행되는 프로세서에 접속하고 맥박 신호를 발표자 신체신호로 검출하여 실시간(150 ms 이내)으로 인체 상태를 인식하고 기록한다. 저장된 인체신호 데이터는 가공/처리되어 발표 능력과 자신감 향상의 자료로 이용한다. 이러한 일련의 과정은 4년제 대학의 졸업예정자를 대상으로 20주의 비정규적인 캡스톤디자인 활동을 통해 이루어진 결과이다. In this study, the new model of presentation remote controller in which has improved the conventional function and deteceted the level of human’s tension on a real time basis is suggested and tested. Existing presentation remote controller was just used turning the pages. But new model controls presentation and check tension level on real time using the smart phone’s bluetooth interface. The proposed system is comprised with the PPG (Photo-Plethysmo-Graphy) sensor, Bluetooth and Wi-Fi modules. The configured system is to process (within 150 ms) the pulse signals of the presenter and stored the data. As a result, it can check and make up for the week presentation part and used as sources for improving self-confidence. This is the result obtained from the process of capstone design irregular course for 20 weeks of a graduate-to-be in four-year college.
Kim Hyeonsik,Yoon Hyun-Kyu,Lee Hyeonhoon,Jung Chul-Woo,Lee Hyung-Chul 대한마취통증의학회 2023 Korean Journal of Anesthesiology Vol.76 No.6
Background: Use of endotracheal tubes (ETTs) with appropriate size and depth can help minimize intubation-related complications in pediatric patients. Existing age-based formulae for selecting the optimal ETT size present several inaccuracies. We developed a machine learning model that predicts the optimal size and depth of ETTs in pediatric patients using demographic data, enabling clinical applications. Methods: Data from 37,057 patients younger than 12 years who underwent general anesthesia with endotracheal intubation were retrospectively analyzed. Gradient boosted regression tree (GBRT) model was developed and compared with traditional age-based formulae. Results: The GBRT model demonstrated the highest macro-averaged F1 scores of 0.502 (95% CI 0.486, 0.568) and 0.669 (95% CI 0.640, 0.694) for predicting the uncuffed and cuffed ETT size (internal diameter [ID]), outperforming the age-based formulae that yielded 0.163 (95% CI 0.140, 0.196, P < 0.001) and 0.392 (95% CI 0.378, 0.406, P < 0.001), respectively. In predicting the ETT depth (distance from tip to lip corner), the GBRT model showed the lowest mean absolute error (MAE) of 0.71 cm (95% CI 0.69, 0.72) and 0.72 cm (95% CI 0.70, 0.74) compared to the age-based formulae that showed an error of 1.18 cm (95% CI 1.16, 1.20, P < 0.001) and 1.34 cm (95% CI 1.31, 1.38, P < 0.001) for uncuffed and cuffed ETT, respectively.Conclusions: The GBRT model using only demographic data accurately predicted the ETT size and depth. If these results are validated, the model may be practical for predicting optimal ETT size and depth for pediatric patients.
Microbial Genome Mining for the Development of Novel CO₂-utilization Modules
Seulgi KANG,Hyeonsik LEE,Jiyun BAE,Sangrak JIN,Donghwi LEE,Garam JEONG,You-Jung JUNG,Hyeokjun YOON,Moonsuk HUR,Byoung-Hee LEE,Jong-Geol KIM,Hyo Jeong LEE,Che Ok JEON,Suhyung CHO,Byung-Kwan CHO 한국생물공학회 2023 한국생물공학회 학술대회 Vol.2023 No.4