44 research outputs found

    A Case of Symptomatic Tracheal Diverticulum and Surgical Resection as a Treatment Modality

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    Tracheal diverticulum is often diagnosed incidentally and, due to its rarity, there is no standard treatment. It is a benign entity, but has the potential to cause specific symptoms, such as chronic upper respiratory infection and chronic cough. Symptomatic tracheal diverticulum can be medically treated, but likelihood of recurrence is high. We report a case of surgical resection of symptomatic tracheal diverticulum to prevent recurrence.ope

    Early Clinical Experience with Sutureless Aortic Valve Replacement for Severe Aortic Stenosis

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    Background: Sutureless aortic valve replacement (SU-AVR) has been developed as an alternative surgical treatment for patients with symptomatic severe aortic stenosis (AS). The aim of this study was to evaluate the clinical outcomes of SU-AVR through an assessment of hemodynamic performance and safety. Methods: From December 2014 to June 2016, a total of 12 consecutive patients with severe AS underwent SU-AVR. The endpoints were overall survival and valve-related complications (paravalvular leakage, valve thrombosis, migration, endocarditis, and permanent pacemaker implantation). The mean follow-up duration was 18.1ยฑ8.6 months. Results: The mean age of the patients was 77.1ยฑ5.8 years and their mean Society of Thoracic Surgeons score was 9.2ยฑ17.7. The mean cardiopulmonary bypass and aortic cross-clamp times were 94.5ยฑ37.3 minutes and 54.9ยฑ12.5 minutes, respectively. Follow-up echocardiography showed good prosthesis function with low transvalvular pressure gradients (mean, 13.9ยฑ8.6 mm Hg and peak, 27.2ยฑ15.0 mm Hg) at a mean of 9.9ยฑ4.2 months. No cases of primary paravalvular leakage, valve thrombosis, migration, or endocarditis were reported. A new permanent pacemaker was implanted in 1 patient (8.3%). The 1-year overall survival rate was 83.3%ยฑ10.8%. Conclusion: Our initial experience with SU-AVR demonstrated excellent early clinical outcomes with good hemodynamic results. However, there was a high incidence of permanent pacemaker implantation compared to the rate for conventional AVR, which is a problem that should be solved.ope

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณผํ•™๊ต์œก๊ณผ(์ƒ๋ฌผ์ „๊ณต), 2014. 2. ๊น€ํฌ๋ฐฑ.Scientists generate, evaluate, and modify models to explain phenomena and communicate with others. Modeling is also significant in science education because it allows students to generate, evaluate, and modify the explanation of phenomena in terms of epistemic practice. In this study, the group modeling-based inquiry lessons about blood circulation were designed to develop middle school students modeling abilities through learning by cognitive collaboration. With these, this study aimed to understand the epistemic process through cognitive collaboration in group modeling-based learning. The study is consisted of following three parts. The study of Patterns of Group Model Development and Factors Influencing Reasoning Process in Collaborative Modeling aimed to explore the patterns of model development and the factors that led to differences in reasoning among several groups developing one-way circulation models. Fourteen students in gifted science education center participated in this study. Participants engaged in group modeling activities about one-way blood flow in the heart. After analyzing discourse, the patterns of model development were identified as the unchanged, the added, and the elaborated. The patterns of model development were decided by interaction within group members. The high-level reasoning process necessary for strong scientific argument was found in the elaborated pattern. The analogy model activity and the cognitive conflict within groups were the factors that influenced high-level reasoning. Based on the finding from of the study of Patterns of Group Model Development and Factors Influencing Reasoning Process in Collaborative Modeling that shaped the critical role of evaluation for model development, the study of Epistemological Features and Model Qualities Depending on the Model Evaluation Levels aimed to explore epistemological features and model qualities depending on the model evaluation levels and to identify reasoning processes revealed in a high-level of model evaluation. 34 students in K middle school participated in three modeling-based lessons. The third lesson in which students drew diagrams of blood circulation as group model was chosen for analyzing the epistemological features and model qualities. The model evaluation levels were defined as Levels 1 to 4 based on the evaluation criteriathe higher levels reflected a greater depth of critical thought and metacognitive monitoring concerning the changeable nature of models and the explanatory nature of the model. At Level 4, students evaluated the explanatory nature of the model in terms of the processes and the mechanisms of the phenomena depicted. This evaluation was based on the epistemological belief of knowing that the model constructed within a group should be evaluated for further development and alteration. In the highest level of model evaluation, reasoning processes through cognitive collaboration were well-expressed by statements concerning monitoring ones own and/or others understanding. Based on this finding of the study of Epistemological Features and Model Qualities Depending on the Model Evaluation Levels, the study of Expression of Statements of the Deep Learning Approach and Cognitive Collaboration in Group modeling aimed to identify the differences of expression of statements of deep learning approach (SD: Statements of the deep learning approach) according to the features of group modeling activities and to explore cognitive collaboration during group modeling processes focusing on students SD. Four students among participants in the study of Epistemological Features and Model Qualities Depending on the Model Evaluation Levels were selected for case study. They engaged in three modeling-based lessons about blood circulation. The dominant SD categories found in each lesson varied because of the different properties relevant to the modeling. Individual SD influenced collaborative modeling through the deep reasoning process. Cognitive collaboration involved cognitive scaffolding and critical monitoring: cognitive scaffolding contributed to the generation and elaboration of the model, whereas critical monitoring contributed to the evaluation and modification of the model. These findings could contribute to understand how cognitive collaboration occurs during group modeling and have significant implications on how to design and implement group modeling lessons where students experience authentic epistemic practice in science classroom.List of Tables viii List of Figures x CHAPTER โ… . INTRODUCTION 1 1. Significance of the Study 1 2. Research Questions 8 3. Research Overview 10 4. Definitions of Terms 13 โ…ก. THEORETICAL BACKGROUNDS 17 1. Models and Modeling in Science Education 17 1.1. Models in Science Education 17 1.2. Modeling in Science Education 25 1.3. Collaborative Modeling 27 1.4. The Roles of Models and Modeling 32 2. Models and Modeling of Blood Circulation 35 3. Cognitive Reasoning in Modeling 40 3.1. Practical Epistemology Revealed in Model Evaluation 40 3.2. Argumentation in Modeling 45 4. The Approaches to Learning Science in Collaborative Modeling 48 โ…ข. Patterns of Group Model Development and Factors Influencing Reasoning Process in Collaborative Modeling 54 1. Introduction 54 2. Methods 58 2.1. Participants 58 2.2. Context 59 3.3. Data Collection and Analysis 61 3. Results and Discussions 67 3.1. The Patterns of Group Model Development 67 3.1.1. The unchanged patterns 70 3.1.2. The added patterns 71 3.1.2. The elaborated patterns 74 3.2. Factors Influencing Reasoning Process in Group Modeling 79 3.2.1. The differences of reasoning process according to the task features of modeling activities 82 3.2.2. The reasoning processes influenced by cognitive conflict among group members 86 4. Conclusions and Implications 91 โ…ฃ. Epistemological Features and Model Qualities Depending on the Model Evaluation Levels 95 1. Introduction 95 2. Methods 98 2.1. Participants 98 2.2. Context 100 3.3. Data Collection and Analysis 104 3. Results and Discussions 114 3.1. Epistemological Features and Model Qualities Depending on the Levels of Model Evaluation 115 3.1.1. The phase without model evaluation 115 3.1.2. The phase of model evaluation using authoritative sources 118 3.1.3. The phase of model evaluation using superficialcriteria 123 3.2. The Highest-Level Model Evaluation Process 126 3.2.1. Checking self-understanding: Raising questions 128 3.2.2. Monitoring others understanding: Emergence after expression of an incorrect concepts 133 4. Conclusions and Implications 139 โ…ค. Expression of Statements of the Deep Learning Approach and Cognitive Collaboration in Group Modeling 145 1. Introduction 145 2. Methods 149 2.1. Participants 149 2.2. Task Characteristics of the Implemented Lessons 152 3.3. Data Collection and Analysis 157 3. Results and Discussions 162 3.1. Patterns of Statements of the Deep Learning Approach Expression in Each Lesson 162 3.2. Cognitive Collaboration and Model Development Influenced by Statements of the Deep Learning Approach 168 3.2.1. Cognitive scaffolding 168 3.2.2. Critical monitoring 180 4. Conclusions and Implications 185 โ…ฅ. CONCLUSIONS AND IMPLICATIONS 191 1. Conclusions 191 2. Implications 194 References 198 Appendix 216 ๊ตญ๋ฌธ์ดˆ๋ก 224Docto

    Validation of HAH model Using Non-linear Strain Path Experiments

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    MasterDuring sheet metal forming processes, the material undergoes quasi-linear and non-linear strain paths. A non-linear strain path causes large fluctuations in the hardening behavior of a material that produce phenomena such as the Bauschinger effect, the transient stage with high hardening rate or permanent softening. It is very important to capture these phenomena in the constitutive equations in order to conduct accurate sheet metal forming process simulations. Recently, the Homogeneous Anisotropic Hardening (HAH) model was proposed in MML to describe the hardening behavior of materials subjected to non-linear strain path. Unlike conventional kinematic hardening, in which the yield surface translates in stress space, the HAH model predicts the hardening behavior solely based on the distortion of the yield surface. To verify the validity of the HAH model, non-linear strain path experiments were conducted in this work. The first strain path, called pre-strain, was always uniaxial tension in the sheet transverse direction (90ยบ from rolling direction). For the pre-strain, large tensile specimens were clamped in a suitable gripping system and deformed in order to produce a sufficiently large size area with a uniform strain distribution from which new specimens were machined. After these pre-strain tests, new specimens were subjected to different modes of deformation, namely, uniaxial tension in directions different from the transverse direction, simple shear and biaxial tests with different load ratios. The experimental results, the flow curves and the yield surfaces, were compared with those simulated by the HAH model. These comparisons allow the assessment of the accuracy and shortcomings model, which are very useful to improve the HAH formulation

    ๋ถํ•œ ๊ฒฐํ•ต๊ด€๋ฆฌ ์žฅ์• ์š”์ธ ๋ถ„์„ : ํƒˆ๋ถ ๊ฒฐํ•ตํ™˜์žยท๊ฐ„๋ณ‘์žยท์˜์‚ฌ ๋ฉด๋‹ด์ž๋ฃŒ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ๋ณด๊ฑด์ •์ฑ…ํ•™๊ณผ ๋ณด๊ฑด์ •์ฑ…๊ด€๋ฆฌ์ „๊ณต/์„์‚ฌ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ถํ•œ ๊ฒฐํ•ต๊ด€๋ฆฌ ์žฅ์• ์š”์ธ์„ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด ํƒˆ๋ถ์ž 22๋ช…์— ๋Œ€ํ•œ ๋ฉด๋‹ด์ž๋ฃŒ๋ฅผ ๋ถ„์„ํ•œ ์งˆ์  ์—ฐ๊ตฌ์ด๋‹ค. ๋ˆˆ๋ฉ์ด ๋ฐ ์ง‘์ถฉ์ถ”์ถœ ๋ฐฉ๋ฒ•์œผ๋กœ ์„ ์ •๋œ ํƒˆ๋ถ ๊ฒฐํ•ตํ™˜์ž(์ดํ•˜ ๊ฒฐํ•ต์ˆ˜์ง„์ž) 9๋ช…, ํƒˆ๋ถ ๊ฒฐํ•ต๊ฐ„๋ณ‘์ž 3๋ช…, ํƒˆ๋ถ ์˜์‚ฌ 10๋ช…์˜ ๋ฉด๋‹ด ์ž๋ฃŒ๋ฅผ Cough to Cure Pathway๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜๊ณ  ๋ถํ•œ ๊ฒฐํ•ต๊ด€๋ฆฌ์˜ ์žฅ์• ์š”์†Œ๋ฅผ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ํ™˜์ž ๋ฐ ์ง€์—ญ์‚ฌํšŒ ์žฅ์• ๋กœ ์ธ์‹์žฅ์• ์™€ ์ ‘๊ทผ์žฅ์• ๊ฐ€ ํ™•์ธ๋˜์—ˆ๋‹ค. ์ธ์‹์žฅ์• ๋ฅผ ๊ฒฐํ•ต์ˆ˜์ง„ยท๊ฐ„๋ณ‘์ž 12๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ™•์ธํ•œ ๊ฒฐ๊ณผ, ๊ฒฐํ•ต ์ง€์‹ ๋ถ€์กฑ, ์ง€์—ญ์‚ฌํšŒ ํƒœ๋„ ๋ถ€์กฑ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฒฐํ•ต ์ง€์‹ ์ค‘ ๊ฒฐํ•ต ์œ„ํ—˜์„ฑ(์‘๋‹ต์ž 7๋ช… ์ค‘ 5๋ช… ์–‘ํ˜ธ)๊ณผ ๊ฐ์—ผ์„ฑ(์‘๋‹ต์ž 10๋ช… ์ค‘ 9๋ช… ์–‘ํ˜ธ) ์ง€์‹์€ ์–‘ํ˜ธํ•˜์˜€์œผ๋‚˜, 6๊ฐœ์›” ์น˜๋ฃŒ๊ธฐ๊ฐ„(์‘๋‹ต์ž 7๋ช… ์ค‘ 4๋ช… ๋ฏธ์ธ์‹), ๊ฒฐํ•ต์˜ ์น˜๋ฃŒ ๊ฐ€๋Šฅ์„ฑ(์‘๋‹ต์ž 4๋ช… ์ค‘ 3๋ช… ๋ฏธ์ธ์‹), ์ง์ ‘ ๋ณต์•ฝํ™•์ธ ์น˜๋ฃŒ(์‘๋‹ต์ž 8๋ช… ์ „์› ๋ฏธ์ธ์‹)์— ๋Œ€ํ•œ ์ง€์‹์€ ๋‹ค์†Œ ๋‚ฎ์€ ์ˆ˜์ค€์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ์ง€์—ญ์‚ฌํšŒ ํƒœ๋„ ๊ด€๋ จํ•˜์—ฌ ๊ฒฐํ•ตํ™˜์ž์— ๋Œ€ํ•œ ์ง€์—ญ์‚ฌํšŒ์˜ ๋‚™์ธ๊ณผ ์ค‘์š”ํ•œ ์ง„๋‹จ ๋ฐ ์น˜๋ฃŒ ์˜ํ–ฅ์š”์ธ์œผ๋กœ ๊ฐ€์กฑ์˜ ์ง€์ง€(7๋ช…)๊ฐ€ ํ™•์ธ๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ง€์‹๊ณผ ํƒœ๋„์— ์˜ํ–ฅ์„ ๋ผ์น  ์ˆ˜ ์žˆ๋Š” ์š”์†Œ๋กœ ํ˜ธ๋‹ด๋‹น์˜์‚ฌ์˜ ๊ฒฐํ•ต ๊ต์œก์€ ์‹ค์‹œ๋˜์ง€ ์•Š๋Š”๋‹ค(6๋ช…)๋Š” ์˜๊ฒฌ์ด ๋‹ค์ˆ˜๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ์ ‘๊ทผ์žฅ์• ๋กœ ๊ฐ ๋ฐฉ๋ฌธ์ง€์—ฐ ์‚ฌ์œ ์™€ ๋‚ฎ์€ ์ ‘๊ทผ์„ฑ, ์˜๋ฃŒ ์ด์šฉ ๋ถˆํ‰๋“ฑ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์˜๋ฃŒ๊ธฐ๊ด€ ๋ฐฉ๋ฌธ์„ ์ง€์—ฐ์‹œํ‚ค๋Š” ๊ฒƒ์œผ๋กœ ๋น„์šฉ์— ๋Œ€ํ•œ ๋ถ€๋‹ด๊ฐ(5๋ช…), ์‚ฌ์ ์‹œ์žฅ ๋ฐฉ๋ฌธ(4๋ช…), ๊ณต์‹์˜๋ฃŒ์— ๋Œ€ํ•œ ๋ถ€์ •์  ์ธ์‹(3๋ช…), ๋ฏผ๊ฐ„์˜๋ฃŒ ์ด์šฉ(2๋ช…)์ด ๋ณด๊ณ ๋˜์—ˆ์œผ๋ฉฐ, ์˜๋ฃŒ๊ธฐ๊ด€ ๋ฐฉ๋ฌธ ์‹œ ๋ฆฌ/๋™ ์ง„๋ฃŒ์†Œ(1๋ช…)๋ณด๋‹ค ๊ตฐ๊ธ‰ ๋ณ‘์›(3๋ช…) ํ˜น์€ ๋„๊ธ‰ ๋ณ‘์›(3๋ช…)์— ๋ฐฉ๋ฌธ ๋น„์ค‘์ด ๋†’์•˜๋‹ค. ์ด ๋ฐ–์— ์ด๋™๊ฑฐ๋ฆฌ ๋ฐ ๋น„์šฉ, ํŒŒ์†ก์ฆ์ด ๋ถํ•œ ๋‚ด ์˜๋ฃŒ์ด์šฉ์— ๋Œ€ํ•œ ์ ‘๊ทผ์„ฑ์„ ์ €ํ•˜์‹œํ‚ค๋ฉฐ, ์‚ฌํšŒ ์ง€์œ„์™€ ์ธ๋งฅ์— ๋”ฐ๋ผ ์˜๋ฃŒ์ด์šฉ ๋ถˆํ‰๋“ฑ(7๋ช…)์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ธฐํƒ€ ์ทจ์•ฝ์ง‘๋‹จ ๋ฐ ์š”์ธ์œผ๋กœ ๊ตฐ๋Œ€ ๋ฐ ๊ตํ™”์†Œ์™€ ๊ฐ™์€ ํŠน์ˆ˜์ง‘๋‹จ์ด ๊ฒฐํ•ต๊ด€๋ฆฌ์— ์ทจ์•ฝํ•˜์˜€์œผ๋ฉฐ ์˜์–‘๋ถ€์กฑ ์˜ํ–ฅ์ด ํฌ๋‹ค๊ณ  ๋ณด๊ณ ๋˜์—ˆ๋‹ค. 2. ๋ณด๊ฑด์˜๋ฃŒ์ฒด๊ณ„ ์žฅ์• ๋กœ ๋ณด๊ฑด์˜๋ฃŒ ์„œ๋น„์Šค์˜ ๋‚ฎ์€ ์งˆ ์žฅ์• , ์ง„๋‹จ ์žฅ์• , ์น˜๋ฃŒ ์žฅ์• , ์ถ”๊ตฌยท์ข…๋ฃŒ ๊ฒ€์‚ฌ ์žฅ์• ๊ฐ€ ๊ฐ๊ฐ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋ถํ•œ ๋ณด๊ฑด์˜๋ฃŒ ์„œ๋น„์Šค์˜ ์งˆ์  ์žฅ์• ๋กœ ์˜๋ฃŒ ์ธ์ ์ž์› ๋ฐ ์„œ๋น„์Šค ์ œ๊ณต ๋ถˆ์ถฉ๋ถ„, ๋Œ€๊ธฐ์‹œ๊ฐ„ ๋ถˆํŽธ์ด ์š”์ธ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŠนํžˆ ์ธ์ ์ž์› ๋ถ„์•ผ๋Š” ๊ฒฝ์ œ๋‚œ ์ดํ›„ ์ƒ๊ณ„ ์ง€์†์„ ์œ„ํ•œ ์˜๋ฃŒ์ธ ์œ ์ถœ ๋ฐ ์˜๋ฃŒ์ธ์˜ ๊ฐœ์ธ์  ์ด์ต ์ถ”๊ตฌ๊ฒฝํ–ฅ ์ฆ๊ฐ€, ํ™˜์ž-์˜๋ฃŒ์ธ ์˜์‚ฌ์†Œํ†ต ๋ถ€์กฑ, ์˜๋ฃŒ์ธ ๊ฒฐํ•ต ๊ด€๋ฆฌ์— ํ™œ๋™์— ๋Œ€ํ•œ ์ธ์„ผํ‹ฐ๋ธŒ ๋ถ€์กฑ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์ง„๋‹จ ์žฅ์• ๋กœ ํ™˜์ž๋ฐœ๊ฒฌ์€ ๊ฒฝ์ œ๋‚œ ์ดํ›„ ๋Šฅ๋™์  ํ™˜์ž๋ฐœ๊ฒฌ์ด ์‹ค์งˆ์ ์œผ๋กœ ์ค‘๋‹จ๋˜์—ˆ์œผ๋ฉฐ, ํ™˜์ž๊ฐ€ ์ฆ์ƒ์„ ๋Š๋ผ๊ณ  ๋ฐฉ๋ฌธํ•˜์—ฌ ์ง„๋‹จ ๋ฐ›๋Š” ์ˆ˜๋™์  ํ™˜์ž๋ฐœ๊ฒฌ ์œ„์ฃผ๋กœ ํ™•์ธ๋œ๋‹ค. ํ๊ฒฐํ•ต์˜ ์ฃผ์š” ์ง„๋‹จ๊ฒ€์‚ฌ์ธ X-์„  ๋ฐ ๊ฐ๋‹ด๊ฒ€์‚ฌ ์ค‘, X-์„  ๊ฒ€์‚ฌ(ํˆฌ์‹œ๋ฐฉ์‹)๋Š” ๋น„๊ต์  ์ด์ƒ ์—†์ด ์ง€์†๋˜์–ด ์™”์œผ๋‚˜ ๊ฐ๋‹ด๊ฒ€์‚ฌ๋Š” ๊ฒฝ์ œ๋‚œ ์‹œ๊ธฐ ์ œํ•œ๋˜์—ˆ๋‹ค๊ฐ€ ์™ธ๋ถ€์ง€์›์„ ํ†ตํ•ด ์ƒ๋‹นํžˆ ํšŒ๋ณต๋˜์—ˆ๋‹ค. ์น˜๋ฃŒ ์žฅ์• ๋กœ ์น˜๋ฃŒ๋น„, ๊ฒฐํ•ต์•ฝ, ์„œ๋น„์Šค ์žฅ์• ๊ฐ€ ํ™•์ธ๋˜์—ˆ๋‹ค. ์˜๋ฃŒ๊ธฐ๊ด€์—์„œ ๋น„๊ณต์‹ ๋น„์šฉ์„ 1์ฐจ๋กœ ๋‚ฉ๋ถ€ํ•˜๊ณ  ์žฅ๋งˆ๋‹น์—์„œ ์•ฝ์ œ๋ฅผ ๊ตฌ์ž…์„ 2์ฐจ๋กœ ์‹œํ–‰ํ•˜๋Š” ํ˜„์žฌ ๋ถํ•œ์‹ ์˜์•ฝ๋ถ„์—… ๊ตฌ์กฐ์™€ ์˜์–‘๋ณด์ถฉ๋น„๋กœ ์น˜๋ฃŒ๋น„๋Š” ๋ถ€๋‹ด์ด ๋œ๋‹ค. ๊ฒฐํ•ต์•ฝ์€ ๋ถํ•œ ์ž์ฒด ์ƒ์‚ฐ์—ญ๋Ÿ‰์ด ๋ถ€์กฑํ•˜๋‚˜ ์ง€์†์  ์™ธ๋ถ€์ง€์›์„ ํ†ตํ•ด ํ‘œ์ค€์•ฝ์ œ์— ๋Œ€ํ•œ ์ ‘๊ทผ์„ฑ์ด ํ–ฅ์ƒ๋˜์—ˆ๋‹ค. ์ž…์›์น˜๋ฃŒ ํ™˜๊ฒฝ์ด ์—ด์•…ํ•˜๊ณ  ์‹์‚ฌ์ง€์›์ด ์ œํ•œ๋˜์–ด ์น˜๋ฃŒ์— ์–ด๋ ค์›€์ด ์žˆ๊ณ , ์™ธ๋ž˜์น˜๋ฃŒ๋Š” ์˜๋ฃŒ์ธ์ด ์ง€์†์ ์ธ ๋ณต์•ฝ๊ด€๋ฆฌ์— ๋™๊ธฐ๋ถ€์—ฌ๊ฐ€ ์ ์–ด ํ™˜์ž๋“ค์˜ ์ ๊ทน์ ์ธ ํƒœ๋„๊ฐ€ ์š”๊ตฌ๋œ๋‹ค. ๊ตญ์ œ์  ๊ฒฐํ•ต๊ด€๋ฆฌ ๊ด€์ ์—์„œ ๋ถํ•œ ๊ฒฐํ•ต์ง€์› ์˜๊ฒฌ ๋ฐ ์ œ3๊ตญ์—์„œ์˜ ๊ฒฐํ•ต๊ด€๋ฆฌ๊ฒฝํ—˜์„ ํ™•์ธ ๊ฒฐ๊ณผ, ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ๋“ค์€ ๋ถํ•œ์— ๋Œ€ํ•ด ํ˜„์žฌ์˜ ์•ฝ์ œ์ง€์›์„ ์ง€์†ํ•˜๋Š” ๋™์‹œ์— ์˜์–‘๊ด€๋ฆฌ, ์ง„๋‹จ์žฅ๋น„ ๊ฐ•ํ™”, ์˜๋ฃŒ์ธ๋ ฅ ์ง€์›์ด ํ•„์š”ํ•˜๋‹ค๊ณ  ์ œ์•ˆํ•˜์˜€์œผ๋ฉฐ, ๋‹ค์ˆ˜์˜ ํƒˆ๋ถ ๊ฒฐํ•ต์ˆ˜์ง„ยท๊ฐ„๋ณ‘์ž(6๋ช…)๊ฐ€ ํƒˆ๋ถ ์‹œ ์ œ3๊ตญ์—์„œ ๊ฒฐํ•ต์„ ์น˜๋ฃŒํ•œ ๊ฒฝํ—˜์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๊ฒฐํ•ต์€ ๋‚จ๋ถํ•œ ๊ณตํ†ต์˜ ๋ฌธ์ œ๋กœ ๊ฐ์ข… ์ค‘์žฌ ๋ฐ ํ†ต์ผ ์ „ ํ˜‘๋ ฅ์ด ํ•„์ˆ˜์ ์ธ ๋ถ„์•ผ์ด๋ฉฐ ๋™์‹œ์— ํ†ต์ผ ๊ณ„๊ธฐ๋กœ ์ด๋Œ ์ˆ˜ ์žˆ์–ด ์ง€์†์  ๊ด€์‹ฌ๊ณผ ํ˜‘๋ ฅ์ด ํ•„์š”ํ•œ ๋ถ„์•ผ์ด๋‹ค. ๋ถํ•œ์˜ ๊ฒฐํ•ต์€ ๋ณด๊ฑด์•ˆ๋ณด ๊ด€์ ์—์„œ ๊ตญ์ œ์‚ฌํšŒ์™€ ๋‚จํ•œ์˜ ์ง€์†์  ๊ณต์กฐ๋ฅผ ํ†ตํ•ด ์ทจ์•ฝ๊ณ„์ธต์— ์ค‘์žฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๋ถํ•œ ๊ฒฐํ•ต๊ด€๋ฆฌ ์žฅ์• ์š”์ธ์— ๋Œ€ํ•œ ์ถ”๊ฐ€์ ์ธ ์–‘์ ์—ฐ๊ตฌ์™€ ๋‚จํ•œ์—์„œ๋„ ๋ณธ ์—ฐ๊ตฌ์™€ ๊ฐ™์€ ํ™˜์ž์ค‘์‹ฌ ๊ด€์ ์˜ ๊ฒฐํ•ต๋ฌธ์ œ ํŒŒ์•…์„ ์œ„ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์š”๊ตฌ๋œ๋‹ค. The purpose of this qualitative study was to analyze the barriers for the management of tuberculosis in North Korea by reviewing the interviews with 22 North Korean defectors. Specifically, 9 patients with history of tuberculosis, 3 caregivers and 10 physicians were selected among the North Korean defectors through snowball and intensive sampling methods followed by the analysis using the Cough to Cure Pathway. The results of this study are as followings; 1. Barriers for recognition of the disease and access to care for patients and community were confirmed. As a result of reviewing the 9 patients and 3 caregivers, lack of knowledge and passive attitude for the disease were identified among patients and the community. Regarding the knowledge about tuberculosis, 5 subjects out of 12 were more or less aware of the dangers of the disease while 9 subjects out of 10 were acknowledging its infectious characteristics. In contrast, 4 subjects out of 7 were less aware of the amount of the time required for the treatment, 3 subjects out of 4 were little aware of the chance of being treated, and all subjects (8) knew that their diseases could be treated through medication. Moreover, the tuberculosis patients were found to be stigmatized in their community. Seven subjects reported that support from family was important. The majority (6 subjects) answered that the physicians in charge of their families had never educated them about the disease. Regarding the barriers to access care, problems such as delay in visit to the health facility, difficulties in receiving treatment, and inequality for availability of medical services were reported. Burden of the cost (5 subjects), utilization of the private clinic(4 subjects), negative perception for the public health service (3 subjects), utilization of the traditional folklore therapy (2 subjects), and etc were reported as The reasons for delay in visit to the health...ope

    (An) evaluation of the analytic methods of ethylene oxide following pre-treatment

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    ์‚ฐ์—…๋ณด๊ฑดํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] OSHA method 50์— ๋”ฐ๋ผ HBr-coated charcoal tube๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์‚ฐํ™” ์—ํ‹ธ๋ Œ(ethylene oxide, EO)์„ ์ธก์ •์‹œ ๋‚˜ํƒ€๋‚˜๋Š” ๋ฌธ์ œ์ ์€ ๊ธฐ๊ธฐ๋ถ„์„์„ ์œ„ํ•œ ์ „์ฒ˜๋ฆฌ ๋ฐฉ๋ฒ•์˜ ์ ˆ์ฐจ๊ฐ€ ๋ณต์žกํ•ด์„œ ๋ถ„์„์ƒ์˜ ์˜ค์ฐจ๊ฐ€ ๋ฐœ์ƒํ•  ๊ฐ€๋Šฅ์„ฑ์ด ๋†’๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” HBr-coated charcoal tube์— ํฌ์ง‘๋œ EO๋ฅผ ์ „์ฒ˜๋ฆฌ ํ•  ๋•Œ, ์šฉ๋งค ๋ฐ ์œ ๋„์ฒดํ™”์— ๋”ฐ๋ฅธ ํƒˆ์ฐฉํšจ์œจ ๋ฐ ์ •๋ฐ€๋„๋ฅผ ๋น„๊ตํ‰๊ฐ€ํ•˜์—ฌ ์ •ํ™•๋„์™€ ์ •๋ฐ€๋„๊ฐ€ ๋†’์œผ๋ฉด์„œ๋„ ๋ถ„์„์ ˆ์ฐจ๊ฐ€ ๊ฐ„ํŽธํ•œ ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ OSHA method 30์—์„œ ์ œ์‹œํ•œ benzene:CS2(99:1) ์šฉ๋งค๋กœ ํƒˆ์ฐฉํ•œ ์‹œ๋ฃŒ์™€ OSHA method 50์—์„œ ์ œ์‹œํ•˜๋Š” n,n-dimethylformamide(DMF)๋กœ ํƒˆ์ฐฉํ•œ์‹œ๋ฃŒ ๋ฐ DMF๋กœ ํƒˆ์ฐฉํ›„ 2-bromoethylheptafluorobutyrate๋กœ ์œ ๋„์ฒดํ™” ์‹œํ‚จ ์‹œ๋ฃŒ์˜ ๊ฒ€์ถœํ•œ๊ณ„(limit of detection, LOD), ํ†ตํ•ฉ๋ณ€์ด๊ณ„์ˆ˜(pooled coefficient of variation, pooled CV), ํƒˆ์ฐฉํšจ์œจ(desorption efficiency, DE) ๊ทธ๋ฆฌ๊ณ  ํƒˆ์ฐฉ ํ›„ ์•ˆ์ •์„ฑ(stability)์„ ๋น„๊ตํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์„ ํ˜• ํšŒ๊ท€์‹์— ์˜ํ•ด ์‚ฐ์ถœํ•œ EO์˜ LOD๋Š” benzene:CS2(99:1)๋กœ ํƒˆ์ฐฉํ•˜์˜€์„ ๋•Œ 2.483ug/ใŽ–์ด์—ˆ๊ณ , DMF๋กœ ํƒˆ์ฐฉํ•œ ๋ถ„์„๊ฒฐ๊ณผ๋Š” 1.919ug/ใŽ–์ด์—ˆ์œผ๋ฉฐ, DMF ํƒˆ์ฐฉ ํ›„ ์œ ๋„์ฒดํ™” ์‹œํ‚จ ์‹œ๋ฃŒ์˜ ๋ถ„์„๊ฒฐ๊ณผ๋Š” 1.301ug/ใŽ–์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. EO ๋ถ„์„๊ฒฐ๊ณผ์˜ pooled CV๋Š” benzene:CS2(99:1)์šฉ๋งค๋กœ ํƒˆ์ฐฉํ•˜์˜€์„ ๋•Œ 0.00503์ด์—ˆ๊ณ , DMF๋กœ ํƒˆ์ฐฉํ•œ ๊ฒฐ๊ณผ๋Š” 0.00329์ด์—ˆ์œผ๋ฉฐ, DMF ํƒˆ์ฐฉ ํ›„ ์œ ๋„์ฒดํ™” ์‹œํ‚จ ๊ฒฐ๊ณผ๋Š” 0.00514์ด์—ˆ๋‹ค. EO์˜ ํƒˆ์ฐฉํšจ์œจ์€ benzene:CS2(99:1)์šฉ๋งค๋กœ ํƒˆ์ฐฉํ•˜์˜€์„ ๋•Œ 92.13%์ด์—ˆ๊ณ , DMF๋กœ ํƒˆ์ฐฉํ•œ ๋ถ„์„๊ฒฐ๊ณผ๋Š” 102.75%์ด์—ˆ์œผ๋ฉฐ, DMF๋กœ ํƒˆ์ฐฉ ํ›„ ์œ ๋„์ฒดํ™” ์‹œํ‚จ ๊ฒฐ๊ณผ๋Š” 96.47%์ด์—ˆ๋‹ค. EO์˜ ํƒˆ์ฐฉ ํ›„์˜ ์•ˆ์ •์„ฑ์€ benzene:CS2(99:1)์šฉ๋งค๋กœ ํƒˆ์ฐฉ ํ›„, ํ•˜๋ฃจ ์ง€๋‚œ ๋’ค์˜ ๋ถ„์„๊ฒฐ๊ณผ๋Š” ๋‹น์ผ ๊ฒฐ๊ณผ์˜ 96.81%์ด์—ˆ๊ณ , DMF๋กœ ํƒˆ์ฐฉ ํ›„์˜ ๊ฒฐ๊ณผ๋Š” 97.13%์ด์—ˆ์œผ๋ฉฐ, DMF๋กœ ํƒˆ์ฐฉํ•˜์—ฌ ์œ ๋„์ฒดํ™” ์‹œํ‚จ ๋ถ„์„ ๊ฒฐ๊ณผ๋Š” 95.69%์ด์—ˆ๋‹ค. ์ด ๊ฐ’๋“ค์€ OSHA method 50์—์„œ ์ œ์‹œํ•˜๊ณ  ์žˆ๋Š” 5%๋ฏธ๋งŒ์˜ ๊ฐ์†Œ๊ธฐ์ค€์— ๋ชจ๋‘ ์ ํ•ฉํ•˜์˜€๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ HBr-coated charcoal tube์— ํฌ์ง‘๋œ EO ๋ถ„์„์‹œ์—, DMF๋กœ ํƒˆ์ฐฉํ•œ ํ›„ ๋ฐ”๋กœ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์ด ๋‹ค๋ฅธ ๋ฐฉ๋ฒ•์— ๋น„ํ•ด ๋ถ„์„์ ˆ์ฐจ๊ฐ€ ๊ฐ„ํŽธํ•˜๋ฉด์„œ๋„ ์ •ํ™•๋„์™€ ์ •๋ฐ€๋„๊ฐ€ ๋†’์€ ๋ถ„์„๋ฐฉ๋ฒ•์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ํƒˆ์ฐฉ ํ›„ 24์‹œ๊ฐ„๋™์•ˆ ์‹œ๋ฃŒ์˜ ์•ˆ์ •์„ฑ๋„ ํ™•๋ณด ๋˜์—ˆ๋‹ค. [์˜๋ฌธ] Following the OSHA method 50, problems occur when measuring the Ethylene oxide, EO, using a HBr-coated Charcoal tube. The problems are that for the machinery-analysis necessary for the pre-treatment process, the sample, after desorption, must go through more than 3 stages of analysis in order to create the EO inducing substance, 2-bromoethylheptafluorobutyrate, and must also be transferred more than twice into new vials. Through such complicated processes, it is highly possible for errors to occur during the analyzing process. As such, our lab, when handling the EO of the HBr-coated charcoal tube, compared and studied the efficiency and preciseness of the solvent and derivatives'' desorption in order to simplify the analyzing process while heightening precision and accuracy of the analyzing method. To achieve this, the desportion sample of the benzene:CS2(99:1) given by the OSHA method 30, the desportion sample of n,n-dimenthylfomamide(DMF) given by OSHA method 50, and the sample that was derivativized with 2-bromoethylheptafluorobutyrate after desorption by DMF were studied and compared for their limit of detection(LOD), pooled coefficient of variation(pooled CV), desorption efficiency(DE), and stability after desorption. The results were as follows: The EO''s LOD was 2.483ug/sample when using the solvent, benzene:CS2(99:1), and 1.919ug/sample after desorption using DMF. The result of the sample that passed DMF desorption and was derivativized was 1.301ug/sample. EO''s pooled CV was 0.00503 when using the solvent benzene:CS2(99:1), after desorption with DMF, the result was 0.00329, and the result of those derivativized by DMF desorption was 0.00514. EO''s DE using the solvent benzene:CS2(99:1) was 92.13%, after desorption with DMF, it was 102.75%, and the result of those studied after being derivativized by DMF desorption was 96.47%. EO''s stability for the sample with the solvent benzene:CS2(99:1), comparing result of next-day analysis to same-day was 96.81%, after desorption with DMF, it was 97.13%, and the result of those studied after being derivativized by DMF desorption was 95.69%. These results were in accordance with the less than 5% given by OSHA method 50. In conclusion, during the analysis of the EO in the HBr-coated charcoal, analysing immediately after desorption by DMF is more simple, precise, and efficient than other analysing methods, and the stability of the sample 24 hours after desorption was also established.ope

    (The) differences of reflective levels between reflection-in-action and reflection-on-action and the changes of PCK in biology class

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณผํ•™๊ต์œก๊ณผ(์ƒ๋ฌผ์ „๊ณต),2009.8.Maste

    Locational Impact of Luminal Communication on Aortic Diameter Changes and Reintervention in Acute Type I Aortic Dissection

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    Objectives: The aim of this study is to evaluate the locational impact of a luminal communication on aortic diameter changes and reintervention after surgical repair of acute type I aortic dissection. Methods: Between 2009 and 2017, 304 patients underwent operation for acute type I aortic dissection. Among them, 93 patients were enrolled. The luminal communications were analysed in segment 1 (the proximal descending thoracic aorta), segment 2 (the distal descending thoracic aorta) and segment 3 (the abdominal aorta). The aortic diameter was measured at the pulmonary artery bifurcation, coeliac axis, maximal abdominal aorta and maximal thoraco-abdominal aorta using serial follow-up computed tomography scans. The linear mixed model was used, and the rate of freedom from reintervention was analysed. Results: In the adjusted analysis, the initial diameter of the maximal abdominal aorta and the first luminal communication in segment 1 was statistically significant. However, the slope value of the maximal abdominal aorta was smaller than that of the first luminal communication in segment 1 (0.024 vs 0.198). The 3-year freedom from reintervention rate was significantly higher in patients without a luminal communication than in those with an initial luminal communication in segment 1 (96% vs 47%, log rank, P = 0.003). Conclusions: A luminal communication at the proximal descending thoracic aorta (segment 1) is a significant factor for an increasing aortic diameter and reintervention after surgical repair of acute type I aortic dissection.restrictio

    Surgery for acute Type I aortic dissection without resection of supra-aortic entry sites leads to unfavourable aortic remodelling

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    OBJECTIVES: This study aimed to evaluate the impact of remnant re-entries in arch branches on postoperative change in the aortic arch and descending aortic diameters and the rate of major adverse aortic events. METHODS: Between January 2010 and December 2016, 249 patients underwent surgery for acute Type I aortic dissection. Patients who underwent total arch replacement, had Marfan syndrome or had intramural haematoma were excluded. Seventy-two patients with predischarge and follow-up computed tomography scans were enrolled. Patients with and without re-entries in the arch branches after surgery were assigned to the supra-aortic entry (SAE, n = 21) and no supra-aortic entry (n = 51) groups, respectively. Diameters were measured at 7 levels: the innominate artery, left common carotid artery, left subclavian artery, 20 mm distal to the left subclavian artery, pulmonary artery bifurcation, coeliac axis and maximal diameter of the descending thoracic aorta. RESULTS: Growth rates at the levels of the pulmonary artery bifurcation and 20 mm distal to the left subclavian artery were significantly higher in the SAE group than in the no supra-aortic entry group. The rate of freedom from major adverse aortic events (annual growth >5 mm or maximal diameter of the descending thoracic aorta >50 mm) at 5 years was significantly higher in the no supra-aortic entry group than in the SAE group. CONCLUSIONS: Remnant SAE leads to unfavourable aortic remodelling after acute Type I aortic dissection repair.restrictio
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