30 research outputs found

    Identification of Tie-2 as an Epithin binding protein and studies on the regulation of Tie-2 activity by Epithin

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    Thesis (master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ƒ๋ช…๊ณผํ•™๋ถ€,2004.Maste

    Epithelial-mesenchymal transition๊ณผ transendothelial migration์—์„œ epithin์˜ ์—ญํ• 

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ƒ๋ช…๊ณผํ•™๋ถ€, 2011.2. ๋ฐ•๋™์€.Docto

    One-boundary Lรฉvy Flight Model for Cognitive Task Performances

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ธ๋ฌธ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ์ธ์ง€๊ณผํ•™์ „๊ณต, 2022.2. ๊ณ ์„ฑ๋ฃก.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ ˆ๋น„ ์•ŒํŒŒ ์•ˆ์ • ๋ถ„ํฌ๋ฅผ ๋…ธ์ด์ฆˆ๋กœ ๊ฐ€์ •ํ•œ ๋‹จ์ผ ๊ฒฝ๊ณ„ ๋ ˆ๋น„ ๋น„ํ–‰ ๋ชจํ˜•์„ ์ œ์•ˆํ•˜๊ณ , ๊ธฐ์กด์— ๋‹จ์ผ ๊ฒฝ๊ณ„ ํ™•์‚ฐ ๋ชจํ˜•์œผ๋กœ ๋ถ„์„ํ–ˆ๋˜ ์ž๋ฃŒ ์ค‘ ๊ณ ์ฐจ ์ธ์ง€ ๊ณผ์ •์ด ๋ฐ˜์˜๋˜๋Š” ์ธ์ง€ ๊ณผ์ œ ์ˆ˜ํ–‰์— ๊ด€ํ•œ ์žฌ๋ถ„์„์„ ์‹ค์‹œํ–ˆ๋‹ค. ์—ฐ๊ตฌ 1์—์„œ๋Š” ํ‘œ์  ๋‹จ์–ด์˜ ๋นˆ๋„๋ฅผ ๋‘ ์ˆ˜์ค€(๊ณ ๋นˆ๋„/ ์ €๋นˆ๋„)์œผ๋กœ ์กฐ์ž‘ํ•œ ์ฃผํ˜œ๋ฆฌ(2015)์˜ ์‹คํ—˜ 2 ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ–ˆ๋‹ค. ํŒŒ๋ผ๋ฏธํ„ฐ ์ถ”์ • ๊ฒฐ๊ณผ, ๊ณ ๋นˆ๋„ ์กฐ๊ฑด๊ณผ ์ €๋นˆ๋„ ์กฐ๊ฑด์˜ ์ฐจ์ด๋Š” ํ‘œ์ง‘์œจ ํŒŒ๋ผ๋ฏธํ„ฐ ์ฐจ์ด๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋” ๋‚˜์•„๊ฐ€ ํ‘œ์  ๋‹จ์–ด์— ๋Œ€ํ•œ ์ฒซ ๊ณ ์ •์‹œ๊ฐ„ ๋ถ„ํฌ์— ๋Œ€ํ•ด ์ถ”์ •๋œ ์•ˆ์ •์„ฑ ํŒŒ๋ผ๋ฏธํ„ฐ ์•ŒํŒŒ์˜ ํ‰๊ท ์€ 1.38์ด์—ˆ๊ณ  1๊ณผ 2 ์‚ฌ์ด์˜ ๋ฒ”์œ„๋ฅผ ๊ฐ€์กŒ๋‹ค. ์ด๋Š” ํ†ต์ œ๋œ ๋นˆ๋„ ์กฐ๊ฑดํ•˜์—์„œ ๋„์•ฝ ๋ชฉํ‘œ ์„ค์ •์„ ์œ„ํ•ด ์ •๋ณด๊ฐ€ ๋ˆ„์ ๋  ๋•Œ ๊ฐ ๊ฑธ์Œ์˜ ๋ถ„ํฌ๊ฐ€ ์ฝ”์‹œ ๋ถ„ํฌ์™€ ๊ฐ€์šฐ์‹œ์•ˆ ๋ถ„ํฌ์˜ ์ค‘๊ฐ„ ํ˜•ํƒœ๋ฅผ ๊ฐ–๋Š”๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ฃผ๋ฉฐ, ์ธ๊ฐ„์˜ ์ธ์ง€ ๊ณผ์ œ ์ˆ˜ํ–‰ ์ „๋ฐ˜์— ๊ด€์—ฌํ•˜๋Š” ์ ์‘์ ์ธ ํŒจํ„ด์— ๋Œ€ํ•œ ๊ฐ€๋Šฅ์„ฑ์„ ์‹œ์‚ฌํ•œ๋‹ค. ์—ฐ๊ตฌ 2์—์„œ๋Š” Faulkenberry(2017)๊ฐ€ ์ˆ˜ํ–‰ํ•œ ์—ฐ์‚ฐ ํ™•์ธ ๊ณผ์ œ์— ๋Œ€ํ•œ ๋ฐ˜์‘์‹œ๊ฐ„ ๋ถ„ํฌ๋ฅผ ๋‹จ์ผ ๊ฒฝ๊ณ„ ๋ ˆ๋น„ ๋น„ํ–‰ ๋ชจํ˜•์œผ๋กœ ๋ถ„์„ํ–ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์•ˆ์ •์„ฑ ํŒŒ๋ผ๋ฏธํ„ฐ ์•ŒํŒŒ์˜ ํ‰๊ท ์€ 1.11์ด์—ˆ๊ณ  0.01๊ณผ 2.0 ์‚ฌ์ด์˜ ๋ฒ”์œ„๋ฅผ ๊ฐ€์กŒ๋‹ค. ๋ฌธ์žฅ ์ฝ๊ธฐ ๊ณผ์ œ์™€ ์—ฐ์‚ฐ ํ™•์ธ ๊ณผ์ œ ์ˆ˜ํ–‰์— ๋Œ€ํ•œ ๋‹จ์ผ ๊ฒฝ๊ณ„ ๋ ˆ๋น„ ๋น„ํ–‰ ๋ชจํ˜• ์ ํ•ฉ ๊ฒฐ๊ณผ๋กœ ๋‚˜ํƒ€๋‚œ ์•ŒํŒŒ ํŒŒ๋ผ๋ฏธํ„ฐ์˜ ๊ฐœ์ธ์ฐจ๋Š” ๊ฐ€์šฐ์‹œ์•ˆ ๋…ธ์ด์ฆˆ์˜ ํ•œ๊ณ„๋ฅผ ๋ฐ˜์ฆํ•˜๋ฉฐ, ๋ ˆ๋น„ ์•ŒํŒŒ ์•ˆ์ • ๋ถ„ํฌ์˜ ์ค‘์š”์„ฑ์„ ์‹œ์‚ฌํ•œ๋‹ค.This study proposed a one-boundary Lรฉvy flight model which assumes a Lรฉvy alpha-stable distribution as a noise component. A re-analysis was conducted on the cognitive task performances that reflect higher-order cognitive processes among the data previously analyzed through a one-boundary diffusion model. In study 1, data from experiment 2 of Choo (2015) that manipulated the frequency of target words in two levels (high-frequency/ low-frequency) were analyzed. As a result of parameter estimation, the difference between high-frequency and low-frequency conditions was verified through the drift parameter. Furthermore, the average value of the estimated stability parameter alpha was 1.38 and ranged from 1 to 2. It indicates that the distribution of each step is between Cauchy distribution and Gaussian distribution when evidence accumulates to select a saccadic target under controlled frequency conditions. It suggests the possibility of adaptive patterns involved in the overall performance of human cognitive tasks. In Study 2, the reaction time distribution of the arithmetic verification task conducted by Faulkenberry (2017) was analyzed by the one-boundary Lรฉvy flight model. Consequently, the average value of the estimated stability parameter alpha was 1.11 and ranged from 0.01 to 2.0. The individual differences in alpha parameters disprove the limitation of Gaussian noise and imply the importance of Lรฉvy alpha-stable distribution.์„œ ๋ก  1 ์ธ์ง€ ๊ณผ์ œ์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ๋ ˆ๋น„ ๋น„ํ–‰ ํŒจํ„ด 2 ๋‹จ์ผ ๊ฒฝ๊ณ„ ํ™•์‚ฐ ๋ชจํ˜• 6 ์ผ๋ฐ˜ํ™”๋œ ๋ž‘์ฃผ๋ฑ… ๋ฐฉ์ •์‹ 7 ์—ฐ๊ตฌ์˜ ๋ชฉ์  8 ๋‹จ์ผ ๊ฒฝ๊ณ„ ๋ ˆ๋น„ ๋น„ํ–‰ ๋ชจํ˜• ์ ํ•ฉ 10 ๋‹จ์ผ ๊ฒฝ๊ณ„ ๋ ˆ๋น„ ๋น„ํ–‰ ๋ชจํ˜• 10 ํŒŒ๋ผ๋ฏธํ„ฐ ์ถ”์ • ๋ฐฉ์‹ 11 ํŒŒ๋ผ๋ฏธํ„ฐ ์ดˆ๊นƒ๊ฐ’ ์„ค์ • 12 ์—ฐ๊ตฌ 1. ๋ฌธ์žฅ ์ฝ๊ธฐ ๊ณผ์ œ 13 ๋ฐฉ๋ฒ• 13 ๊ฒฐ๊ณผ ๋ฐ ๋…ผ์˜ 13 ์—ฐ๊ตฌ 2. ์—ฐ์‚ฐ ํ™•์ธ ๊ณผ์ œ 17 ๋ฐฉ๋ฒ• 17 ๊ฒฐ๊ณผ ๋ฐ ๋…ผ์˜ 18 ์ข…ํ•ฉ ๋…ผ์˜ 24 ์ฐธ๊ณ ๋ฌธํ—Œ 27 ๋ถ€๋ก 31 Abstract 34์„

    ์—ด๋ฆฐ์ถฉ๋‚จ 4ํ˜ธ-[ํŠน์ง‘]์„œํ•ด์•ˆ๊ถŒ ๊ฐœ๋ฐœ์ด ์ถฉ๋‚จ์„œ๋ถ๋ถ€ ์ง€์—ญ๊ฒฝ์ œ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    โ… . ์„œ๋ก  ์šฐ๋ฆฌ ๊ฒฝ์ œ๋Š” ์ง€๋‚œ 60๋…„๋Œ€ ๊ฒฝ์ œ๊ฐœ๋ฐœ5๊ฐœ๋…„ ๊ณ„ํš์„ ์ˆ˜ํ–‰ํ•ด ์˜จ ์ด๋ž˜ ์ •๋ถ€ ์ฃผ๋„ํ•˜์— ์ง€์†์ ์ธ ๊ณ ๋„์„ฑ์žฅ์„ ๊ณ„์†ํ•˜์—ฌ ์™”๋‹ค. ๊ทธ ๊ฒฐ๊ณผ 88๋…„ ์šฐ๋ฆฌ๋‚˜๋ผ GNP๊ทœ๋ชจ๋Š” ์„ธ๊ณ„ 17์œ„, ๋ฌด์—ญ๊ทœ๋ชจ๋Š” ์„ธ๊ณ„ 12์œ„์— ์ด๋ฅด๋Š” ๋“ฑ์˜ ์ค‘์ง„๊ณต์—…๊ตญ๊ฐ€๋กœ ๋ฐœ์ „ํ•ด ์™”๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ 90๋…„๋Œ€์— ๋“ค์–ด์™€์„œ ๋Œ€๋‚ด์™ธ ์—ฌ๊ฑด์˜ ๋ณ€ํ™”๋กœ ์ด์— ์ ์‘ํ•  ์ˆ˜ ์žˆ๋Š” ๋Šฅ๋ ฅ์„ ๋ฐฐ์–‘ํ•˜์ง€ ๋ชปํ•ด ์นจ์ฒด์˜ ๋Šช์—์„œ ๋ฒ—์–ด๋‚˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค. -์ดํ›„ ์ƒ๋žต1. ์„œ๋ก  2. ์„œํ•ด์•ˆ๊ถŒ์˜ ์ง€์—ญ๊ฒฝ์ œํ˜„ํ™ฉ 3. ์„œํ•ด์•ˆ๊ถŒ ๊ฐœ๋ฐœ์˜ ๋ฐœ์ „์ „๋žต ๊ตฌ์„ฑ 4. ์„œํ•ด์•ˆ๊ถŒ ๊ฐœ๋ฐœ์˜ ๋ฐ˜์„ฑ๊ณผ ๊ณผ์ œ 5. ์„œํ•ด์•ˆ๊ถŒ์˜ ์ง€์—ญ๋ฐœ์ „ ๋ฐฉํ–ฅ 6. ๊ฒฐ๋ก  ๋ฐ ์ œ

    ์ด๋ฏผ๋ฌธํ•™๊ณผ ์ •์ฒด์„ฑ : ์™ธ์ฆˆ๋‹ค๋งˆ์˜ ใ€Ž์ธ์ƒ์€ ์ˆ™๋ฐ•์†Œใ€์— ๋‚˜ํƒ€๋‚œ ์–ธ์–ด์˜ ๋ฌธ์ œ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๋…์–ด๋…๋ฌธํ•™๊ณผ ๋ฌธํ•™์ „๊ณต,2006.Maste

    One-boundary Lรฉvy Flight Model for Cognitive Task Performances

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    ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ ˆ๋น„ ์•ŒํŒŒ ์•ˆ์ • ๋ถ„ํฌ๋ฅผ ๋…ธ์ด์ฆˆ๋กœ ๊ฐ€์ •ํ•œ ๋‹จ์ผ ๊ฒฝ๊ณ„ ๋ ˆ๋น„ ๋น„ํ–‰ ๋ชจํ˜•์„ ์ œ์•ˆํ•˜๊ณ , ๊ธฐ์กด์— ๋‹จ์ผ ๊ฒฝ๊ณ„ ํ™•์‚ฐ ๋ชจํ˜•์œผ๋กœ ๋ถ„์„ํ–ˆ๋˜ ์ž๋ฃŒ ์ค‘ ๊ณ ์ฐจ ์ธ์ง€ ๊ณผ์ •์ด ๋ฐ˜์˜๋˜๋Š” ์ธ์ง€ ๊ณผ์ œ ์ˆ˜ํ–‰์— ๊ด€ํ•œ ์žฌ๋ถ„์„์„ ์‹ค์‹œํ–ˆ๋‹ค. ์—ฐ๊ตฌ 1์—์„œ๋Š” ํ‘œ์  ๋‹จ์–ด์˜ ๋นˆ๋„๋ฅผ ๋‘ ์ˆ˜์ค€(๊ณ ๋นˆ๋„/ ์ €๋นˆ๋„)์œผ๋กœ ์กฐ์ž‘ํ•œ ์ฃผํ˜œ๋ฆฌ(2015)์˜ ์‹คํ—˜ 2 ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ–ˆ๋‹ค. ํŒŒ๋ผ๋ฏธํ„ฐ ์ถ”์ • ๊ฒฐ๊ณผ, ๊ณ ๋นˆ๋„ ์กฐ๊ฑด๊ณผ ์ €๋นˆ๋„ ์กฐ๊ฑด์˜ ์ฐจ์ด๋Š” ํ‘œ์ง‘์œจ ํŒŒ๋ผ๋ฏธํ„ฐ ์ฐจ์ด๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋” ๋‚˜์•„๊ฐ€ ํ‘œ์  ๋‹จ์–ด์— ๋Œ€ํ•œ ์ฒซ ๊ณ ์ •์‹œ๊ฐ„ ๋ถ„ํฌ์— ๋Œ€ํ•ด ์ถ”์ •๋œ ์•ˆ์ •์„ฑ ํŒŒ๋ผ๋ฏธํ„ฐ ์•ŒํŒŒ์˜ ํ‰๊ท ์€ 1.38์ด์—ˆ๊ณ  1๊ณผ 2 ์‚ฌ์ด์˜ ๋ฒ”์œ„๋ฅผ ๊ฐ€์กŒ๋‹ค. ์ด๋Š” ํ†ต์ œ๋œ ๋นˆ๋„ ์กฐ๊ฑดํ•˜์—์„œ ๋„์•ฝ ๋ชฉํ‘œ ์„ค์ •์„ ์œ„ํ•ด ์ •๋ณด๊ฐ€ ๋ˆ„์ ๋  ๋•Œ ๊ฐ ๊ฑธ์Œ์˜ ๋ถ„ํฌ๊ฐ€ ์ฝ”์‹œ ๋ถ„ํฌ์™€ ๊ฐ€์šฐ์‹œ์•ˆ ๋ถ„ํฌ์˜ ์ค‘๊ฐ„ ํ˜•ํƒœ๋ฅผ ๊ฐ–๋Š”๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ฃผ๋ฉฐ, ์ธ๊ฐ„์˜ ์ธ์ง€ ๊ณผ์ œ ์ˆ˜ํ–‰ ์ „๋ฐ˜์— ๊ด€์—ฌํ•˜๋Š” ์ ์‘์ ์ธ ํŒจํ„ด์— ๋Œ€ํ•œ ๊ฐ€๋Šฅ์„ฑ์„ ์‹œ์‚ฌํ•œ๋‹ค. ์—ฐ๊ตฌ 2์—์„œ๋Š” Faulkenberry(2017)๊ฐ€ ์ˆ˜ํ–‰ํ•œ ์—ฐ์‚ฐ ํ™•์ธ ๊ณผ์ œ์— ๋Œ€ํ•œ ๋ฐ˜์‘์‹œ๊ฐ„ ๋ถ„ํฌ๋ฅผ ๋‹จ์ผ ๊ฒฝ๊ณ„ ๋ ˆ๋น„ ๋น„ํ–‰ ๋ชจํ˜•์œผ๋กœ ๋ถ„์„ํ–ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์•ˆ์ •์„ฑ ํŒŒ๋ผ๋ฏธํ„ฐ ์•ŒํŒŒ์˜ ํ‰๊ท ์€ 1.11์ด์—ˆ๊ณ  0.01๊ณผ 2.0 ์‚ฌ์ด์˜ ๋ฒ”์œ„๋ฅผ ๊ฐ€์กŒ๋‹ค. ๋ฌธ์žฅ ์ฝ๊ธฐ ๊ณผ์ œ์™€ ์—ฐ์‚ฐ ํ™•์ธ ๊ณผ์ œ ์ˆ˜ํ–‰์— ๋Œ€ํ•œ ๋‹จ์ผ ๊ฒฝ๊ณ„ ๋ ˆ๋น„ ๋น„ํ–‰ ๋ชจํ˜• ์ ํ•ฉ ๊ฒฐ๊ณผ๋กœ ๋‚˜ํƒ€๋‚œ ์•ŒํŒŒ ํŒŒ๋ผ๋ฏธํ„ฐ์˜ ๊ฐœ์ธ์ฐจ๋Š” ๊ฐ€์šฐ์‹œ์•ˆ ๋…ธ์ด์ฆˆ์˜ ํ•œ๊ณ„๋ฅผ ๋ฐ˜์ฆํ•˜๋ฉฐ, ๋ ˆ๋น„ ์•ŒํŒŒ ์•ˆ์ • ๋ถ„ํฌ์˜ ์ค‘์š”์„ฑ์„ ์‹œ์‚ฌํ•œ๋‹ค.This study proposed a one-boundary Lรฉvy flight model which assumes a Lรฉvy alpha-stable distribution as a noise component. A re-analysis was conducted on the cognitive task performances that reflect higher-order cognitive processes among the data previously analyzed through a one-boundary diffusion model. In study 1, data from experiment 2 of Choo (2015) that manipulated the frequency of target words in two levels (high-frequency/ low-frequency) were analyzed. As a result of parameter estimation, the difference between high-frequency and low-frequency conditions was verified through the drift parameter. Furthermore, the average value of the estimated stability parameter alpha was 1.38 and ranged from 1 to 2. It indicates that the distribution of each step is between Cauchy distribution and Gaussian distribution when evidence accumulates to select a saccadic target under controlled frequency conditions. It suggests the possibility of adaptive patterns involved in the overall performance of human cognitive tasks. In Study 2, the reaction time distribution of the arithmetic verification task conducted by Faulkenberry (2017) was analyzed by the one-boundary Lรฉvy flight model. Consequently, the average value of the estimated stability parameter alpha was 1.11 and ranged from 0.01 to 2.0. The individual differences in alpha parameters disprove the limitation of Gaussian noise and imply the importance of Lรฉvy alpha-stable distribution.์„œ ๋ก  1 ์ธ์ง€ ๊ณผ์ œ์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ๋ ˆ๋น„ ๋น„ํ–‰ ํŒจํ„ด 2 ๋‹จ์ผ ๊ฒฝ๊ณ„ ํ™•์‚ฐ ๋ชจํ˜• 6 ์ผ๋ฐ˜ํ™”๋œ ๋ž‘์ฃผ๋ฑ… ๋ฐฉ์ •์‹ 7 ์—ฐ๊ตฌ์˜ ๋ชฉ์  8 ๋‹จ์ผ ๊ฒฝ๊ณ„ ๋ ˆ๋น„ ๋น„ํ–‰ ๋ชจํ˜• ์ ํ•ฉ 10 ๋‹จ์ผ ๊ฒฝ๊ณ„ ๋ ˆ๋น„ ๋น„ํ–‰ ๋ชจํ˜• 10 ํŒŒ๋ผ๋ฏธํ„ฐ ์ถ”์ • ๋ฐฉ์‹ 11 ํŒŒ๋ผ๋ฏธํ„ฐ ์ดˆ๊นƒ๊ฐ’ ์„ค์ • 12 ์—ฐ๊ตฌ 1. ๋ฌธ์žฅ ์ฝ๊ธฐ ๊ณผ์ œ 13 ๋ฐฉ๋ฒ• 13 ๊ฒฐ๊ณผ ๋ฐ ๋…ผ์˜ 13 ์—ฐ๊ตฌ 2. ์—ฐ์‚ฐ ํ™•์ธ ๊ณผ์ œ 17 ๋ฐฉ๋ฒ• 17 ๊ฒฐ๊ณผ ๋ฐ ๋…ผ์˜ 18 ์ข…ํ•ฉ ๋…ผ์˜ 24 ์ฐธ๊ณ ๋ฌธํ—Œ 27 ๋ถ€๋ก 31 Abstract 34์„
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