63 research outputs found

    Structural Safety Assessment of Cargo Containment System in LNG Carrier under Iceberg Collision

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    ๋Ÿฌ์‹œ์•„ ์„œ๋ถ€ ๊ทน์ง€์ง€์—ญ์—์„œ์˜ ๋Œ€๊ทœ๋ชจ ์ฒœ์—ฐ๊ฐ€์Šค(Liquified Natural Gas) ๊ฐœ๋ฐœ๊ณผ ํ•จ๊ป˜ ๊ทน์ง€์šดํ•ญ LNG์„ ์˜ ์ˆ˜์ฃผ๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ฅธ ์„ค๊ณ„ ๊ธฐ์ˆ ๋ ฅ์˜ ํ™•๋ณด๊ฐ€ ์š”๊ตฌ๋˜๊ณ  ์žˆ๊ณ , ํŠนํžˆ ๋น™์‚ฐ(iceberg)๊ณผ์˜ ์ถฉ๋Œ์— ๋Œ€ํ•œ LNG์„  ํ™”๋ฌผ์ฐฝ ๋‹จ์—ด์‹œ์Šคํ…œ(CCSAt the time of exploitation of the giant natural gas fields in the Western Arctic regions of Russia, the development of Arctic LNG shipping has been precipitated. There have been demands for the security of design technique of Arctic LNG carrier, especially for the structural safety assessment of the Arctic LNG CCS under the impact of collision with iceberg. To develop iceberg modeling technique and to examine the characteristics of iceberg crushing strength for the more accurate and realistic full scale iceberg-membrane type LNG carrier bow shoulder collision simulations with consideration of surrounding sea water using FSI (Fluid-Structure Interaction) analysis technique, uniaxial compressive ice test specimen simulations in brittle and ductile failure modes were executed and diverse iceberg materials were investigated using LS-DYNA code, such as its failure strain, Youngโ€™s modulus, failure stress, failure tensile stress and mesh size. Local zooming analysis of MARK III membrane type LNG CCS according to iceberg sizes and failure strains were performed for the development of its structural safety assessment technique.Fluid-Structure Interaction) ํ•ด์„๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ฃผ๋ณ€์œ ์ฒด๋ฅผ ๊ณ ๋ คํ•œ LNG์„ ๊ณผ์˜ ์„ ์ˆ˜ ์–ด๊นจ๋ถ€์œ„(bow shoulder) ์ถฉ๋Œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ทจ์„ฑ ๋ฐ ์—ฐ์„ฑ ํŒŒ์†๋ชจ๋“œ์—์„œ์˜ ๋น™(ice) ์‹œํ—˜์šฉ ์‹œํŽธ์˜ ์ผ์ถ•์••์ถ• ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๊ณ , ํŒŒ๋‹จ๋ณ€ํ˜•๋ฅ (failure strain), ํƒ„์„ฑ๊ณ„์ˆ˜ (Youngโ€˜s modulus), ํŒŒ๋‹จ์‘๋ ฅ(failure stress), ํŒŒ๋‹จ ์ธ์žฅ์‘๋ ฅ(failure tensile stress) ๋ฐ ์œ ํ•œ์š”์†Œ ํฌ๊ธฐ(mesh size) ๋“ฑ๊ณผ ๊ฐ™์€ ๋‹ค์–‘ํ•œ ๋น™์‚ฐ์˜ ๋ฌผ์„ฑ์น˜์— ๋Œ€ํ•œ ํŒจ๋Ÿฌ๋ฏธํ„ฐ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ตฌ์กฐ ์•ˆ์ „์„ฑ ํ‰๊ฐ€๊ธฐ๋ฒ•์˜ ๊ฐœ๋ฐœ์„ ์œ„ํ•˜์—ฌ ๋น™์‚ฐ์˜ ํฌ๊ธฐ์™€ ํŒŒ๋‹จ๋ณ€ํ˜•๋ฅ ์„ ๊ณ ๋ คํ•œ MARK โ…ข ๋ฉค๋ธŒ๋ ˆ์ธํ˜• LNG CCS์˜ Local Zooming Analysis์˜ ๊ธฐ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜์—ฌ ์ ์šฉํ•˜์˜€๋‹ค.Cargo Containment System) ๊ตฌ์กฐ์˜ ์•ˆ์ „์„ฑ ๊ฒ€์ฆ์ด ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๋ณด๋‹ค ์ •ํ™•ํ•˜๊ณ  ํ˜„์‹ค์ ์ธ ๋น™์‚ฐ ๋ชจ๋ธ๋ง ๊ธฐ์ˆ ์˜ ๊ฐœ๋ฐœ๊ณผ ๋น™์‚ฐ ๋ถ„์‡„๊ฐ•๋„(crushing strength)์˜ ํŠน์„ฑ์„ ๊ตฌํ˜„ํ•˜๊ธฐ ์œ„ํ•ด์„œ LS-DYNA ์ฝ”๋“œ์˜ ์œ ์ฒด-๊ตฌ์กฐ ์—ฐ์„ฑ(FSI1. Introduction 1 2. Ice Characteristics 5 3. Ice Mechanics and Simulation 8 4. Collision Scenarios and Simulation Models 17 5. Full-Scale Iceberg-Ship Collision Simulation 24 5.1 Response of collision simulation according to failure strain of iceberg 25 5.2 Response of collision simulation according to Youngโ€™s modulus of iceberg 27 5.3 Response of collision simulation according to failure stress of iceberg 29 5.4 Response of collision simulation according to failure tensile stress of iceberg 31 5.5 Response of collision simulation according to mesh size of iceberg 33 6. Structural Safety Assessment of CCS 36 7. Conclusions 43 References 4

    Cause Investigation on Flooding and Sinking Accident of Pelagic Fishing Vessel using FSI Analysis Technique

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    ์›์–‘์–ด์„ ์€ ๋ฒ ๋งํ•ด์—์„œ ํ™ฉ์ฒœ์—์„œ ์กฐ์—… ํ›„ ํ”ผํ•ญํ•˜๋˜ ์ค‘ ๊ฐœ๊ตฌ๋ถ€๋ฅผ ํ†ตํ•œ ์นจ์ˆ˜๋กœ ์ธํ•˜์—ฌ ์นจ๋ชฐํ•˜์˜€์œผ๋ฉฐ ๋งŽ์€ ์„ ์›๋“ค์ด ์‚ฌ๋งํ•˜๊ณ  ์‹ค์ข…๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์œ ์ฒด-๊ตฌ์กฐ ์—ฐ์„ฑ(Fluid-Structure Interaction, FSI) ํ•ด์„๊ธฐ๋ฒ•์˜ ๊ณ ๋„ ์ •๋ฐ€ M&S(highly advanced Modeling and Simulation) ์‹œ์Šคํ…œ์„ ์‚ฌ์šฉํ•˜์—ฌ ์‹ค์„  ์นจ์ˆ˜โ‹…์นจ๋ชฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ์นจ๋ชฐ์‚ฌ๊ณ ์˜ ๊ณผ์ • ๋ฐ ์›์ธ์„ ์ •ํ™•ํ•˜๊ณ  ๊ณผํ•™์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ฒ ๋งํ•ด ์นจ๋ชฐ์‚ฌ๊ณ  ์‹œ์˜ ๊ธฐ์ƒ ๋ฐ ํ•ด์ƒ์ƒํƒœ๋ฅผ ๊ฐ๊ด€์ ์œผ๋กœ ํ™•๋ณดํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์นจ๋ชฐ์‚ฌ๊ณ  ์ง€์—ญ์˜ ์‹œ๊ฐ„๋Œ€๋ณ„ ๊ธฐ์ƒ ๋ฐ ํ•ด์ƒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ์นจ๋ชฐ์‚ฌ๊ณ  ๋‹น์‹œ ํŒŒ๋ž‘๊ณผ ๊ฐ•ํ’ ๋“ฑ์„ ๋ถ„์„ํ•˜๊ณ , ๋ถˆ๊ทœ์น™ ํŒŒ๋ž‘๊ณผ ๊ฐ•ํ’ ์ŠคํŽ™ํŠธ๋Ÿผ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ตฌํ˜„ํ•˜์˜€๋‹ค. ์›์–‘์–ด์„  ์‚ฌ๊ณ ์„ ๋ฐ•์˜ ์„ ์ฒด ๋„๋ฉด ๋“ฑ์„ ํ†ตํ•˜์—ฌ ์„ ๋ฐ•์˜ ์„ ํ˜•, ๋ฐฐ์น˜ ๋ฐ ์ค‘๋Ÿ‰ ๋ถ„ํฌ์™€ ์™ธ๋ถ€ ํ•ด์ˆ˜ ์นจ์ˆ˜ ๊ฐœ๊ตฌ๋ถ€ ๋ฐ ์„ ๋‚ด ์นจ์ˆ˜ ๊ฒฝ๋กœ๋ฅผ ๋ถ„์„ํ•˜๊ณ  ์ฃผ์š” ํƒฑํฌ๋“ค์˜ ์šฉ์ ๊ณผ ๊ทธ๋“ค์˜ ์ค‘๋Ÿ‰ ๋ถ„ํฌ๋ฅผ ์ถ”์ •ํ•˜์—ฌ ์นจ์ˆ˜โ‹…์นจ๋ชฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์œ„ํ•œ ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ์ž‘์„ฑํ•˜๊ณ , ์‚ฌ๊ณ ์„ ๋ฐ• ์›์–‘์–ด์„ ์˜ ์ „์„ ๊ณผ ์œ ์ฒด(๊ณต๊ธฐ ๋ฐ ํ•ด์ˆ˜)๋ฅผ ์ƒ์„ธ ๋ชจ๋ธ๋ง์„ ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•˜์—ฌ ์‚ฌ๊ณ ์„ ๋ฐ•์˜ ๊ฒฝ์šฐ ๊ธ‰๊ฒฉํ•˜๊ฒŒ ํšก๊ฒฝ์‚ฌ๊ฐ€ ์ง„ํ–‰๋˜์–ด๋„ ์ „๋ณต์— ์˜ํ•œ ์นจ๋ชฐ์ด ์•„๋‹ˆ๋ผ ๊ธฐ๊ด€์‹ค๊ณผ ์–ด์ฐฝ์— ์œ ์ž…๋œ ๋‹ค๋Ÿ‰์˜ ํ•ด์ˆ˜๋กœ ์ธํ•˜์—ฌ ๋ฌด๊ฒŒ์ค‘์‹ฌ์ด ๋‹ค์†Œ ์•„๋ž˜๋กœ ๋‚ด๋ ค๊ฐ€ ์„ ๋ฏธ๋ถ€๊ฐ€ ์ˆ˜๋ฉด ์•„๋ž˜๋กœ ์ž ๊ธฐ๋ฉด์„œ ์„ ๋ฏธ์˜ ์นจ์ˆ˜๊ฐ€ ๋ณ‘ํ–‰ํ•œ ๋Œ€๊ฐ๋„์˜ ํšก๊ฒฝ์‚ฌ๋กœ ์ด์–ด์ง„ ์‚ฌ๊ณ ๋กœ์จ, ๋‹จ์ˆœํ•œ ๋ณต์›์„ฑ ์ƒ์‹ค๋กœ ์ธํ•œ ์ „๋ณต์œผ๋กœ ์นจ๋ชฐํ•˜๋Š” ๊ฒƒ๊ณผ๋Š” ๋‹ค๋ฅธ ํ˜„์ƒ์œผ๋กœ ์นจ๋ชฐ๋˜์—ˆ๋‹ค๊ณ  ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ๊ฑฐ๋™์œผ๋กœ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. | Pelagic fishing vessel was fully flooded through the openings and was sunk down to the bottom of sea due to the very rough sea weather on the way of evasion after fishing operation in the Bearing Sea with many crews dead and/or missed. In this study, full-scale ship flooding & sinking simulation was carried out, and sinking process and cause was analyzed for the precise and scientific investigation of sinking accident using highly advanced M&S(Modeling and Simulation) system of FSI(Fluid-Structure Interaction) analysis technique. For the objective secure of weather and sea states during sinking accident in the Bering Sea, time-based wind and wave simulation at the region of sinking accident was carried out and analyzed, and weather and sea states were realized by simulating the irregular strong wave and wind spectrums. Simulation scenarios were made up and full-scale ship and fluid(air and sea water) modeling was performed for floodingโ‹…sinking simulation, by investigating the hull form, structural arrangement and weight distribution, the exterior inflow openings and interior flooding paths through its drawings, and by estimating the main tank capacities and their loading status. It could be confirmed that the accident ship was flooding and sunk down from the full-scale ship flooding and sinking simulation behaviors using FSI analysis technique with a little bit different situation from the general capsize and sinking accident due to the simple loss of stability, in that the stern part subsided under the surface with the center of gravity descended a little bit down due to the seawater inflow in the engine room and fish holds, and with continued large angle of heel at the same time of submerged stern part under the surface even though its heel was progressed greatly.๋ชฉ ์ฐจ โ…ฐ List of Tables โ…ฒ List of Figures โ…ณ Abstract โ…ท ์ดˆ ๋ก โ…น 1. ์„œ ๋ก  1 2. ์œ ์ฒด-๊ตฌ์กฐ ์—ฐ์„ฑ ํ•ด์„๊ธฐ๋ฒ•๊ณผ ํ•ด์ƒ์ƒํƒœ ๋ถ„์„ ๋ฐ ๊ตฌํ˜„ 10 2.1 ์œ ์ฒด-๊ตฌ์กฐ ์—ฐ์„ฑ ํ•ด์„๊ธฐ๋ฒ• 10 2.2 ํ•ด์ƒ์ƒํƒœ ๋ถ„์„ ๋ฐ ๊ตฌํ˜„ 16 3. ์„ ํ˜• ๋ฐ ๊ตฌ์กฐ๋„ ๋ถ„์„๊ณผ ์‹ค์„  ๋ชจ๋ธ๋ง 23 4. ์‹ค์„  ์นจ์ˆ˜โ‹…์นจ๋ชฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‹œ๋‚˜๋ฆฌ์˜ค ๋ฐ ์œ ์ฒด ๋ชจ๋ธ๋ง 32 5. ์‹ค์„  ์นจ์ˆ˜โ‹…์นจ๋ชฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ 45 5.1 Case 1-0 : ์šฐํ˜„ ์„ ์ˆ˜๊ฐ๋„ 44๏พŸ๋กœ ์šฐํ˜„ํŒŒ๋ž‘ ๋ฐ›์œผ๋ฉฐ ํ•ญํ•ด 49 5.2 Case 1-1 : ํ”ผํ•ญ ๊ฐœ์‹œ ํ›„ 8๏พŸ ์šฐํ˜„ ๊ฒฝ์‚ฌ 55 5.3 Case 1-2 : ์ขŒํ˜„ํšกํŒŒ์— ์˜ํ•œ 20๏พŸ ์šฐํ˜„ ๊ฒฝ์‚ฌ 62 5.4 Case 1-3 : ์ขŒํ˜„ํšกํŒŒ์— ์˜ํ•œ 25โˆผ30๏พŸ ์šฐํ˜„ ๊ฒฝ์‚ฌ 73 5.5 Case 1-4 : ์ขŒํ˜„ํšกํŒŒ์— ์˜ํ•œ 35๏พŸ ์šฐํ˜„ ๊ฒฝ์‚ฌ 82 5.6 Case 2-0 : ์–ดํš๋ฌผ ์ขŒํ˜„ ์ด๋™ ์‹œ ์ขŒํ˜„ํšกํŒŒ์— ์ผ์‹œ ํ‰ํ˜• 88 5.7 Case 2-1 : ์šฐํ˜„ํšกํŒŒ์—์„œ ์ขŒํ˜„ ์ธก 5๏พŸ~10๏พŸ ๊ฒฝ์‚ฌ 99 5.8 Case 2-2 : ์šฐํ˜„ํšกํŒŒ์—์„œ ์ขŒํ˜„ ์ธก 30๏พŸโˆผ35๏พŸ ๊ฒฝ์‚ฌ 105 5.9 Case 2-3 : ์šฐํ˜„ํšกํŒŒ์—์„œ ์ขŒํ˜„ ์ธก 45๏พŸโˆผ55๏พŸ ๊ฒฝ์‚ฌ 115 5.10 Case 2-4 : ์šฐํ˜„ํšกํŒŒ์—์„œ ์ขŒํ˜„ ์ธก 60๏พŸโˆผ70๏พŸ ๊ฒฝ์‚ฌ 125 5.11 Case 2-5 : ์šฐํ˜„ํšกํŒŒ์—์„œ ์ขŒํ˜„ ์ธก 80๏พŸ ์ด์ƒ ๊ฒฝ์‚ฌ 131 5.12 ๊ณ ์ฐฐ 135 6. ๊ฒฐ๋ก  136 References 138 ๊ฐ์‚ฌ์˜ ๊ธ€ 141Docto

    Frequency-Doubled Double-Pulse Nd:YAG (FREDDY) Laser for the Treatment of Ureteral Stone: Initial Experience

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    Purpose: We assessed the effectiveness, safety and accessibility of performing FREDDY laser lithotripsy for managing urinary tract calculi. Materials and Methods: From January 1999 to May 2005, 173 consecutive patients underwent endoscopic lithotripsy with FREDDY laser lithotripsy. The numbers of patients, according to stone location, were 18 patients for the upper ureter, 11 for the mid ureter and 144 for the lower ureter. Patients were treated with a rigid endoscope on a day surgery basis. Patients were assessed 6 to 12 weeks postoperatively with KUB and ultrasound or excretory urography for determining the late obstructive complications. Results: The mean stone size and mean operation time were 7.8mm and 36.6 minutes, respectively. The overall stone-free rates were 98.9%. The stone-free rates according to stone location were 100% in the upper ureter, 100% in the mid ureter and 98.6% in the lower ureter. There were no post-operative complications. Interestingly, there were no significant differences in the operation times and stone-free rates between the urologic specialists (36.7 min and 100%, respectively) and the training residents (37.1 min and 98.6%, respectively). Conclusions: FREDDY laser lithotripsy is a highly effective and safe modality for the treatment of ureteral stone. In addition, FREDDY laser lithotripsy is very feasible for training residents.ope

    ABCD2 Is a Direct Target of ฮฒ-Catenin and TCF-4: Implications for X-Linked Adrenoleukodystrophy Therapy

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    X-linked adrenoleukodystrophy (X-ALD) is a peroxisomal disorder caused by mutations in the ABCD1 gene that encodes the peroxisomal ATP-binding cassette (ABC) transporter subfamily D member 1 protein (ABCD1), which is referred to as the adrenoleukodystrophy protein (ALDP). Induction of the ABCD2 gene, the closest homolog of ABCD1, has been mentioned as a possible therapeutic option for the defective ABCD1 protein in X-ALD. However, little is known about the transcriptional regulation of ABCD2 gene expression. Here, through in silico analysis, we found two putative TCF-4 binding elements between nucleotide positions โˆ’360 and โˆ’260 of the promoter region of the ABCD2 gene. The transcriptional activity of the ABCD2 promoter was strongly increased by ectopic expression of ฮฒ-catenin and TCF-4. In addition, mutation of either or both TCF-4 binding elements by site-directed mutagenesis decreased promoter activity. This was further validated by the finding that ฮฒ-catenin and the promoter of the ABCD2 gene were pulled down with a ฮฒ-catenin antibody in a chromatin immunoprecipitation assay. Moreover, real-time PCR analysis revealed that ฮฒ-catenin and TCF-4 increased mRNA levels of ABCD2 in both a hepatocellular carcinoma cell line and primary fibroblasts from an X-ALD patient. Interestingly, we found that the levels of very long chain fatty acids were decreased by ectopic expression of ABCD2-GFP as well as ฮฒ-catenin and TCF-4. Taken together, our results demonstrate for the first time the direct regulation of ABCD2 by ฮฒ-catenin and TCF-4.ope

    Comparison of Melanoma Subtypes among Korean Patients by Morphologic Features and Ultraviolet Exposure

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    BACKGROUND: Genetic alterations have been identified in melanomas according to different levels of sun exposure. Whereas the conventional morphology-based classification provides a clue for tumor growth and prognosis, the new classification by genetic alterations offers a basis for targeted therapy. OBJECTIVE: The purpose of this study is to demonstrate the biological behavior of melanoma subtypes and compare the two classifications in the Korean population. METHODS: A retrospective chart review was performed on patients found to have malignant melanoma in Severance Hospital from 2005 to 2012. Age, sex, location of the tumor, histologic subtype, tumor depth, ulceration, lymph node invasion, visceral organ metastasis, and overall survival were evaluated. RESULTS: Of the 206 cases, the most common type was acral melanoma (n=94, 45.6%), followed by nonchronic sun damage-induced melanoma (n=43, 20.9%), and mucosal melanoma (n=40, 19.4%). Twenty-one patients (10.2%) had the chronic sun-damaged type, whereas eight patients (3.9%) had tumors of unknown primary origin. Lentigo maligna melanoma was newly classified as the chronic sun-damaged type, and acral lentiginous melanoma as the acral type. More than half of the superficial spreading melanomas were newly grouped as nonchronic sun-damaged melanomas, whereas nodular melanoma was rather evenly distributed. CONCLUSION: The distribution of melanomas was largely similar in both the morphology-based and sun exposure-based classifications, and in both classifications, mucosal melanoma had the worst 5-year survival owing to its tumor thickness and advanced stage at the time of diagnosis.ope

    ์„œ ๋ก  ์ตœ๊ทผ 10๋…„๊ฐ„, ํ•œ๊ตญ์—์„œ ์œ„ ๋‚ด์‹œ๊ฒฝ ๋“ฑ์˜ ๊ฒ€์‚ฌ๊ฐ€ ์ฆ๊ฐ€ํ•˜๋ฉด์„œ ์กฐ๊ธฐ ์œ„ ์•”์ด ์ ์  ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ์ „์ฒด ์œ„์•” ์ค‘ ์กฐ๊ธฐ ์œ„์•”์˜ ๋น„์œจ์ด ์ตœ๋Œ€ 50%๊นŒ์ง€๋„ ๋ณด๊ณ ๋˜๊ณ  ์žˆ๋‹ค[1]. ์ด์— ์˜ํ–ฅ์„ ๋ฐ›์•„ ๋‚ด์‹œ๊ฒฝ์  ์ ๋ง‰ํ•˜์ ˆ ์ œ์ˆ , ๋‚ด์‹œ๊ฒฝ์  ์ ๋ง‰์ ˆ์ œ์ˆ  ๋“ฑ์˜ ๋‚ด์‹œ๊ฒฝ์  ์ ˆ์ œ์ˆ ์ด ์ฆ๊ฐ€ํ•˜๋Š” ์ถ”์„ธ ์ด๋‹ค[2]. ์กฐ๊ธฐ ์œ„์•”์— ๋Œ€ํ•œ ๋‚ด์‹œ๊ฒฝ์  ์ ˆ์ œ์ˆ ์€ ์ตœ์†Œ์นจ์Šต์ ์ด๋ฉฐ ์˜๋ฃŒ ๋น„์šฉ์„ ๋‚ฎ์ถ”๋Š” ํšจ๊ณผ๋„ ์žˆ๋‹ค[3]. ๊ทธ๋Ÿฌ๋‚˜, ๋‚ด์‹œ๊ฒฝ์  ์ ˆ์ œ์ˆ ์ด ๋Š˜์–ด๋‚˜๋ฉด์„œ ์ ์‘์ฆ๋„ ํ™•๋Œ€๊ธฐ์ค€์„ ์  ์šฉํ•˜๋Š” ์‚ฌ๋ก€๊ฐ€ ๋งŽ์•„

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    Purpose: The increase in the incidence of early gastric cancer (EGC) cases has led to an increase in endoscopic resections, thereby resulting in an increasing number of endoscopic resection failure cases. The purpose of this study was to identify indicators for endoscopic resection, such as depth of invasion and tumor differentiation. Methods: This study included 273 patients who underwent endoscopic resection for EGC at Hallym University Sacred Heart Hospital from January 2006 to May 2013. Of these resection cases, 41 were also surgical treatment cases. The endoscopic findings and lesion characteristics were analyzed, retrospectively using medical records. Results: The results suggested that when the location of tumor was in the middle third of the stomach (P= 0.002), the patient was younger (P= 0.057), there was a higher likelihood of surgical treatment after endoscopic resection. Conclusion: To determine the indicators for endoscopic resection, it is essential to consider tumor location as well as tumor size, tumor differentiation and depth of invasion, which are considered important factors. If the lesion was located in the upper and middle third of the stomach, sufficient explanation and consent was required

    ๋‚จ์•„ํ”„๋ฆฌ์นด ๊ณตํ™”๊ตญ ํ•€์น˜ ์ง€์—ญ์—์„œ ๋ฐœ๊ฒฌ๋˜๋Š” ์„๋ฅ˜์„ ๊ฐ๋žŒ์•”์˜ ๋ณ€ํ˜• ๋ฏธ๊ตฌ์กฐ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ง€๊ตฌํ™˜๊ฒฝ๊ณผํ•™๋ถ€, 2011.8. ์ •ํ•ด๋ช….Maste

    ์••์ถ•๊ธฐ ์Šˆ๋ผ์šฐ๋“œ ์บ๋น„ํ‹ฐ์— ๊ธฐ์ธํ•œ ์†์‹ค์˜ ์‹คํ—˜์  ์—ฐ๊ตฌ

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    Thesis(master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€,2005.Maste

    Generation of regionally specified oligodendrocyte precursor cells from human pluripotent stem cells

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    ์˜๊ณผํ•™๊ณผ/์„์‚ฌํ˜„์žฌ ๋ช‡๋ช‡ ๋…ผ๋ฌธ์—์„œ ์ธ๊ฐ„ ์ „๋ถ„ํ™”๋Šฅ ์ค„๊ธฐ์„ธํฌ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ฒ™์ˆ˜ ๋‚ด์˜ ํฌ๋Œ๊ธฐ๊ต์„ธํฌ๋กœ์˜ ๋ถ„ํ™” ๋ฐฉ๋ฒ•์ด ๋ณด๊ณ  ๋˜์—ˆ์œผ๋‚˜ ๊ทธ ๊ธฐ๊ฐ„์ด ๊ธธ๊ณ , ์ œํ˜„์„ฑ์ด ๋–จ์–ด์ง„๋‹ค. ์ด์— ๋ถ„ํ™”๊ธฐ๊ฐ„์„ ์ค„์ด๊ณ , ์ œํ˜„์„ฑ์ด ๋†’์€ ๋ถ„ํ™” ๋ฐฉ๋ฒ•์„ ์ฐพ๊ณ ์ž ํ•˜์˜€๋‹ค. ์‹ ๊ฒฝ๊ด€์„ ์ด๋ฃจ๊ณ  ์žˆ๋Š” ์‹ ๊ฒฝ์ƒํ”ผ์„ธํฌ๋Š” ํŠน์ • ์‹ ํ˜ธ์— ์˜ํ•ด์„œ ์ค‘์ถ” ์‹ ๊ฒฝ๊ด€์„ ์ด๋ฃจ๊ณ  ์žˆ๋Š” ๋‹ค์–‘ํ•œ ์‹ ๊ฒฝ์„ธํฌ๋กœ์˜ ๋ถ„ํ™”๊ฐ€ ๊ฐ€๋Šฅํ•˜๋‹ค. ์‹ ๊ฒฝ๊ด€์ด ๋ฐœ์ƒํ•  ๋•Œ, ์ฒœ์žฅํŒ์—์„œ๋Š” Bone morphogenic protein (BMP) ์‹ ํ˜ธ๊ฐ€ ๋ฐœ์ƒํ•˜๊ณ , ๋ฐ”๋‹ฅํŒ์—์„œ๋Š” Sonic hedgehog (SHH) ์‹ ํ˜ธ๊ฐ€ ๋ฐœ์ƒํ•˜์—ฌ ๋“ฑ-๋ฐฐ ์ถ•์„ ํ˜•์„ฑํ•œ๋‹ค. ๋˜ํ•œ ์‹ ๊ฒฝ๊ด€์ด ์ฒ™์ˆ˜๋กœ ๋ฐœ์ƒ ํ•  ๋•Œ, ์› ์ฒด์ ˆ์—์„œ ๋ฐœ์ƒํ•˜๋Š” Retinoic acid (RA)์™€ ํ—จ์„ผ ๋งˆ๋””์—์„œ ๋ฐœ์ƒํ•˜๋Š” basic Fibroblast growth factor (bFGF) ์‹ ํ˜ธ์˜ ์˜ํ–ฅ์„ ๋ฐ›์•„ ์•ž-๋’ค ์ถ•์„ ํ˜•์„ฑํ•˜๊ฒŒ ๋œ๋‹ค. ์ฒ™์ˆ˜ ๋‚ด ํฌ๋Œ๊ธฐ๊ต์„ธํฌ ์ „๊ตฌ์ฒด๋Š” ์•ž์—์„œ ์–ธ๊ธ‰ํ•œ ์‹ ํ˜ธ๋“ค์„ ๋ฐ›์•„ ์ฒ™์ˆ˜์˜ ๋ฐฐ ์ถ•์— ์กด์žฌํ•˜๋Š” Motor neuron progenitor domain (pMN)์ด๋ผ๋Š” ํŠน์ • ๋ถ€๋ถ„์—์„œ ์ฃผ๋กœ ๋ฐœ์ƒํ•˜๋ฉฐ ์ „์‚ฌ์ธ์ž์ธ Olig2๋ฅผ ํŠน์ด์ ์œผ๋กœ ๋ฐœํ˜„ํ•œ๋‹ค. ์ด์— ์ธ๊ฐ„ ์ „๋ถ„ํ™”๋Šฅ ์ค„๊ธฐ์„ธํฌ๋ฅผ ์ด์šฉํ•˜์—ฌ pMN๋ถ€์œ„์˜ ํฌ๋Œ๊ธฐ๊ต์„ธํฌ ์ „๊ตฌ์ฒด๋กœ ๋ถ„ํ™”์‹œํ‚ค๊ธฐ ์œ„ํ•ด Dosomorphin (DM)๋ฅผ ์ด์šฉํ•˜์—ฌ BMP ์‹ ํ˜ธ๋ฅผ ์–ต์ œํ•˜๊ณ  SHH ์‹ ํ˜ธ๋ฅผ ์ฃผ์–ด ๋ฐฐ ์ถ•์œผ๋กœ ๋ถ„ํ™”๋ฅผ ์œ ๋„ํ•˜์˜€๊ณ , RA์™€ bFGF ์‹ ํ˜ธ๋ฅผ ์ฃผ์–ด ๋’ค ์ถ•์œผ๋กœ ๋ถ„ํ™”๋ฅผ ์œ ๋„ํ•˜์˜€๋‹ค. SHH ์‹ ํ˜ธ์— ์˜ํ•ด ์ „์‚ฌ์ธ์ž์ธ Nkx2.2๊ฐ€ ๋ฐœํ˜„ ํ•จ์œผ๋กœ์จ ๋ฐฐ ์ถ•์œผ๋กœ์˜ ๋ถ„ํ™”๋ฅผ ํ™•์ธํ•˜์˜€๊ณ , RA, bFGF ์‹ ํ˜ธ์— ์˜ํ•ด Hox ์œ ์ „์ž๊ฐ€ ๋ฐœํ˜„ ํ•จ์œผ๋กœ์จ ์ฒ™์ˆ˜์ชฝ์œผ๋กœ ๋ถ„ํ™”๊ฐ€ ๋œ ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ด ๋ชจ๋“  ์‹ ํ˜ธ์— ์˜ํ•ด pMN๋ถ€๋ถ„์—์„œ๋งŒ ํŠน์ด์ ์œผ๋กœ ๋ฐœํ˜„ํ•˜๋Š” Olig2๊ฐ€ ๋ฐœํ˜„ํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธ ํ•˜์˜€๋‹ค. Olig2์˜ ๋ฐœํ˜„์œผ๋กœ ํฌ๋Œ๊ธฐ๊ต์„ธํฌ ์ „๊ตฌ์ฒด๋กœ์˜ ๋ถ„ํ™” ๊ฐ€๋Šฅ์„ฑ ๋˜ํ•œ ํ™•์ธํ•˜๊ฒŒ ๋˜์—ˆ๋‹ค.ope

    Histomorphological factors in the risk prediction of lymph node metastasis in papillary thyroid carcinoma

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    AIMS: Few clinicopathological parameters have been identified as independent predictive factors for lymph node metastasis. This study evaluated the predictive ability of three histological characteristics of PTC in lymph node metastases: hobnail features, loss of cohesiveness/polarity (LOCP) and micropapillary structures. METHODS AND RESULTS: Tissue specimens from 153 patients with histologically confirmed PTC including 112 cases of papillary thyroid microcarcinoma (PTMC) were enrolled in this study. Three histological characteristics (hobnail features, LOCP and micropapillary structures) and several clinicopathological parameters were evaluated for their value in predicting lymph node metastasis. Hobnail features, LOCP and micropapillary structures were each significantly associated with and found to be independent predictive factors for lymph node metastasis (P < 0.05). These three histological characteristics were closely correlated with one another (P < 0.001). Six of the seven possible combinations of these three histological characteristics were independently correlated with lymph node metastasis (P < 0.05). Among these combinations, the coincidence of all three histological parameters represented the strongest independent predictive factor for lymph node metastasis (OR: 3.270, P = 0.006). CONCLUSIONS: Our study demonstrates that hobnail features, LOCP and micropapillary structures, either alone or in combinations, represent strong independent predictive factors for lymph node metastasis in PTC.ope
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