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    ์ค‘๋…„ ์„ฑ์ธ์˜ ์šฐ์šธ์ฆ์ƒ ์œ ๋ณ‘์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฐœ์ธ ๋ฐ ์ง€์—ญ ์š”์ธ

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    ์„ธ๊ณ„๋ณด๊ฑด๊ธฐ๊ตฌ(WHO)์— ๋”ฐ๋ฅด๋ฉด ์šฐ์šธ์ฆ์ด ์„ธ๊ณ„์  ์งˆ๋ณ‘ ๋ถ€๋‹ด์˜ ์ฃผ์š” ๊ธฐ์—ฌ์š”์ธ์ด๋ฉฐ, ์—ฐ๋ น๋Œ€ ์ค‘ 55-74์„ธ์˜ ์—ฐ๋ น๋Œ€์—์„œ ๊ฐ€์žฅ ์œ ๋ณ‘๋ฅ ์ด ๋†’๋‹ค๊ณ  ํ•˜์˜€๋‹ค. ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๊ฒฝ์šฐ์—๋„ ์šฐ์šธ์ฆ์œผ๋กœ ์ง„๋ฃŒ ๋ฐ›๋Š” ํ™˜์ž์ˆ˜์™€ ๊ทธ๋กœ ์ธํ•œ ์ง„๋ฃŒ๋น„์šฉ์ด ์ง€์†์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, 2018๋…„ ์šฐ์šธ์ฆ์œผ๋กœ ์ง„๋ฃŒ ๋ฐ›์€ ํ™˜์ž ์ค‘ 40์„ธ ์ด์ƒ 65์„ธ ๋ฏธ๋งŒ์˜ ์ค‘๋…„ ์„ฑ์ธ์€ ์ „ ์—ฐ๋ น ๋Œ€๋น„ ์•ฝ 42.3%์— ๋‹ฌํ•ด, ์ค‘๋…„ ์„ฑ์ธ์˜ ์šฐ์šธ ๊ด€๋ฆฌ ๋Œ€์ฑ… ๋งˆ๋ จ์ด ์‹œ๊ธ‰ํ•จ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ค‘๋…„๊ธฐ ์„ฑ์ธ์—์„œ์˜ ์šฐ์šธ์€ ๋‹น๋‡จ๋ณ‘, ์•”, ์‹ฌ์žฅ์งˆํ™˜ ๋“ฑ๊ณผ ๊ฐ™์€ ์งˆํ™˜๊ณผ ๋™๋ฐ˜๋˜์–ด ์ง„๋‹จ ๋ฐ ์น˜๋ฃŒ์˜ ์–ด๋ ค์›€์ด ์žˆ์œผ๋ฉฐ, ๋™๋ฐ˜ ์งˆํ™˜์ด ์žˆ๋Š” ๊ฒฝ์šฐ ๊ฑด๊ฐ•๋ฌธ์ œ๋ฅผ ๊ด€๋ฆฌํ•˜๋Š” ๋Šฅ๋ ฅ์˜ ์žฅ์• ๋ฅผ ์•ผ๊ธฐํ•˜์—ฌ ๊ฐœ์ธ์˜ ๊ฑด๊ฐ•์— ์ง๊ฐ„์ ‘์ ์œผ๋กœ ์ƒ๋‹นํ•œ ์˜ํ–ฅ์„ ๋ฏธ์ณ ์ค‘๋…„๊ธฐ ์„ฑ์ธ์˜ ์šฐ์šธ ๋ฐœ์ƒ ์˜ˆ๋ฐฉ๊ณผ ์กฐ๊ธฐ ์น˜๋ฃŒ๋Š” ์ƒ์•  ์ „๋ฐ˜์˜ ๊ฑด๊ฐ•์— ์žˆ์–ด ์ค‘์š”์„ฑ์ด ํฌ๋‹ค๊ณ  ํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์šฐ์šธ์ฆ์˜ ๊ด€๋ฆฌ๋ฐฉ์•ˆ ์ˆ˜๋ฆฝ์— ์žˆ์–ด ์ง€์—ญ๋ณ„ ํŠน์„ฑ์„ ๊ณ ๋ คํ•ด ๋ณผ ํ•„์š”๊ฐ€ ์žˆ์Œ์—๋„ ์ค‘๋…„ ์„ฑ์ธ์„ ๋Œ€์ƒ์œผ๋กœ ๊ฐœ์ธ์  ํŠน์„ฑ๊ณผ ์ง€์—ญ์  ํŠน์„ฑ์„ ๋ชจ๋‘ ๊ณ ๋ คํ•œ ์šฐ์šธ์ฆ ์˜ํ–ฅ ์š”์ธ ์—ฐ๊ตฌ๋Š” ํ˜„์žฌ๊นŒ์ง€ ์ฐพ์•„๋ณด๊ธฐ ์–ด๋ ค์› ๋‹ค. ์ด์—, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” 40์„ธ ์ด์ƒ 65์„ธ ๋ฏธ๋งŒ ์ค‘๋…„ ์„ฑ์ธ์„ ๋Œ€์ƒ์œผ๋กœ ์šฐ์šธ์ฆ์ƒ ์œ ๋ณ‘์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฐœ์ธ ๋ฐ ์ง€์—ญ ์š”์ธ์„ ํ™•์ธํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ถ„์„์„ ์œ„ํ•ด ์ „๊ตญ 254๊ฐœ ์‹œยท๊ตฐยท๊ตฌ ๋‹จ์œ„์˜ ์กฐ์‚ฌ ์ž๋ฃŒ์ธ 2017๋…„๋„ ์ง€์—ญ์‚ฌํšŒ๊ฑด๊ฐ•์กฐ์‚ฌ ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜์—ฌ 40์„ธ ์ด์ƒ 65์„ธ ๋ฏธ๋งŒ์˜ ์ค‘๋…„ ์„ฑ์ธ์— ํ•ด๋‹นํ•˜๋Š” ์ž๋ฃŒ๋ฅผ ์ถ”์ถœํ•˜์˜€๊ณ , ์ด๋ฅผ ๊ฐœ์ธ ์ˆ˜์ค€์˜ ์ž๋ฃŒ๋กœ ํ™œ์šฉํ•˜์˜€๋‹ค. ์ง€์—ญ์ˆ˜์ค€์˜ ์ž๋ฃŒ๋Š” ํ†ต๊ณ„์ฒญ์˜ ๊ตญ๊ฐ€ํ†ต๊ณ„ํฌํ„ธ(KOSIS) ๋ฐ e-๋‚˜๋ผ์ง€ํ‘œ ์‹œ์Šคํ…œ์„ ํ†ตํ•ด ํ–‰์ •์•ˆ์ „๋ถ€์˜ ์žฌ์ •์ž๋ฆฝ๋„, ์ง€์—ญ์•ˆ์ „๋“ฑ๊ธ‰ํ˜„ํ™ฉ ๋ฐ ์ฃผ๋ฏผ๋“ฑ๋กํ˜„ํ™ฉ, ๊ตญํ† ๊ตํ†ต๋ถ€์˜ ์ง€์ ํ†ต๊ณ„, ๊ตํ†ต๋ฌธํ™”์‹คํƒœ์กฐ์‚ฌ, ๊ตญ๋ฏผ๊ฑด๊ฐ•๋ณดํ—˜๊ณต๋‹จ์˜ ๊ฑด๊ฐ•๋ณดํ—˜ํ†ต๊ณ„, ํ•œ๊ตญํ† ์ง€์ฃผํƒ๊ณต์‚ฌ์˜ ๋„์‹œ๊ณ„ํš ํ˜„ํ™ฉ ์ž๋ฃŒ๋ฅผ ์„ ๋ณ„ํ•˜์—ฌ ํ™œ์šฉํ•˜์˜€๋‹ค. ์ตœ์ข…์ ์œผ๋กœ ์šฐ์šธ์ฆ์„ ๋ณ„๋„๊ตฌ(PHQ-9)์˜ ์ ์ˆ˜ ์ดํ•ฉ ๊ณ„์‚ฐ์ด ๊ฐ€๋Šฅํ•œ 40์„ธ ์ด์ƒ 65์„ธ ๋ฏธ๋งŒ ์ค‘๋…„ ์„ฑ์ธ 106,107๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€์œผ๋ฉฐ, PHQ-9 ์ ์ˆ˜ ์ดํ•ฉ์ด 10์  ์ด์ƒ์ธ ๊ฒฝ์šฐ โ€˜์šฐ์šธ์ฆ์ƒ ์œ ๋ณ‘โ€™, 10์  ๋ฏธ๋งŒ์ธ ๊ฒฝ์šฐ โ€˜์ •์ƒโ€™์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์—ฌ, ๊ฐœ์ธ ์ˆ˜์ค€์˜ ์ธ๊ตฌ์‚ฌํšŒ์  ์š”์ธ๊ณผ ๊ฑด๊ฐ•๊ด€๋ จ ์š”์ธ ๋ฐ ์ง€์—ญ ์ˆ˜์ค€์˜ ๊ฒฝ์ œ, ์•ˆ์ „, ์ž์›์˜ ๋ถ„ํฌ ์ˆ˜์ค€ ๋“ฑ์„ ๋‚˜ํƒ€๋‚ด๋Š” ์š”์ธ์ด ์šฐ์šธ์ฆ์ƒ ์œ ๋ณ‘์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋‹ค์ˆ˜์ค€ ๋กœ์ง€์Šคํ‹ฑ ๋ถ„์„์„ ์‹ค์‹œํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ „์ฒด ์—ฐ๊ตฌ๋Œ€์ƒ์ž 106,107๋ช… ์ค‘ ๋‚จ์„ฑ์ด 48,906๋ช…, ์—ฌ์„ฑ์ด 57,201๋ช…์ด์—ˆ์œผ๋ฉฐ, ์šฐ์šธ์ฆ์ƒ ์œ ๋ณ‘๊ตฐ์€ 2,427๋ช…์œผ๋กœ ์ „์ฒด ์—ฐ๊ตฌ ๋Œ€์ƒ์ž ์ค‘ 2.29%๋ฅผ ์ฐจ์ง€ํ–ˆ๋‹ค. ๊ฐœ์ธ ๋ฐ ์ง€์—ญ ์ˆ˜์ค€ ๋ณ€์ˆ˜ ๊ฐ„ ์ƒ๊ด€๋ถ„์„์„ ํ†ตํ•ด ๊ฐ•ํ•œ ์ƒ๊ด€์„ฑ์ด ์žˆ๋Š” ๋ณ€์ˆ˜๋ฅผ ์ œ์™ธํ•˜์—ฌ ์ตœ์ข… 16๊ฐœ์˜ ๊ฐœ์ธ์ˆ˜์ค€ ๋ณ€์ˆ˜์™€ 11๊ฐœ์˜ ์ง€์—ญ์ˆ˜์ค€ ๋ณ€์ˆ˜๋ฅผ ํˆฌ์ž…ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค.๊ธฐ์ดˆ๋ชจํ˜•(Null model) ๋ถ„์„ ๊ฒฐ๊ณผ ์ค‘๋…„ ์„ฑ์ธ์˜ ์šฐ์šธ์ฆ์ƒ ์œ ๋ณ‘์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ ์ค‘ ์ง€์—ญ ์ˆ˜์ค€์—์„œ ์ฐจ์ง€ํ•˜๋Š” ์„ค๋ช…๋ ฅ์ด ์•ฝ 5.67%๋กœ ๋‚˜ํƒ€๋‚˜ ๋‹ค์ˆ˜์ค€ ๋ถ„์„์ด ๊ฐ€๋Šฅํ•จ์„ ํ™•์ธํ•˜์˜€๊ณ , ์ด๋ฅผ ์ ์šฉํ•˜์—ฌ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๊ณผ๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ๋ถ„์„์— ํฌํ•จ๋œ ๋ชจ๋“  ๊ฐœ์ธ ์ˆ˜์ค€ ์š”์ธ์ด ์œ ์˜ํ•˜์˜€์œผ๋ฉฐ, ์ง€์—ญ ์ˆ˜์ค€์—์„œ๋Š” ๊ฑฐ์ฃผํ•˜๋Š” ์ง€์—ญ์˜ ๊ตํ†ต๋ฌธํ™”์ง€์ˆ˜์™€ ํ™”์žฌ, ๊ตํ†ต์‚ฌ๊ณ , ๋ฒ”์ฃ„, ์ƒํ™œ์•ˆ์ „ ๋ถ„์•ผ์˜ ์ง€์—ญ์•ˆ์ „๋“ฑ๊ธ‰์ด ์šฐ์šธ์ฆ์ƒ ์œ ๋ณ‘์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์œ ์˜ํ•œ ๋ณ€์ˆ˜๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ฆ‰, ๋‹ค๋ฅธ ์กฐ๊ฑด์ด ์ผ์ •ํ•  ๋•Œ, ๋‚จ์„ฑ์— ๋น„ํ•ด ์—ฌ์„ฑ์ธ ๊ฒฝ์šฐ, ํ˜ผ์ธ์ƒํƒœ๊ฐ€ ์œ ๋ฐฐ์šฐ์ž์ธ ๊ฒฝ์šฐ์— ๋น„ํ•ด ์ดํ˜ผ/์‚ฌ๋ณ„/๋ณ„๊ฑฐ์— ํ•ด๋‹นํ•˜๋Š” ๊ฒฝ์šฐ, ์„ธ๋Œ€์œ ํ˜•์ด 1์„ธ๋Œ€ ๊ฐ€์กฑ์— ๋น„ํ•ด 1์ธ ๊ฐ€๊ตฌ์ธ ๊ฒฝ์šฐ, ์‚ฌ๋ฌด์ง์— ๋น„ํ•ด ํŒ๋งค์„œ๋น„์Šค์ง, ๊ธฐ๋Šฅ๋‹จ์ˆœ๋…ธ๋ฌด์ง, ๊ธฐํƒ€(๋ฌด์ง, ์ฃผ๋ถ€ ๋“ฑ)์˜ ์ง์—…์„ ๊ฐ€์ง„ ๊ฒฝ์šฐ, ํ•™๋ ฅ์ด ๋‚ฎ์„์ˆ˜๋ก, ์›”ํ‰๊ท  ๊ฐ€๊ตฌ์†Œ๋“์ด ๋‚ฎ์„์ˆ˜๋ก, ๊ธฐ์ดˆ์ƒํ™œ ์ˆ˜๊ธ‰์ž๊ฐ€ ๋น„์ˆ˜๊ธ‰์ž์— ๋น„ํ•ด, ์‚ฌํšŒ์  ํ™œ๋™์— ์ฐธ์—ฌํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ๊ฐ€ ์ฐธ์—ฌํ•˜๋Š” ๊ฒฝ์šฐ์— ๋น„ํ•ด, ์ฃผ๊ด€์  ๊ฑด๊ฐ•์ˆ˜์ค€์ด ๋‚˜์จ์œผ๋กœ ์‘๋‹ตํ• ์ˆ˜๋ก, ๋งŒ์„ฑ์งˆํ™˜ ์ง„๋‹จ ์œ ๊ฒฝํ—˜ ์งˆํ™˜์ˆ˜๊ฐ€ ๋งŽ์„์ˆ˜๋ก, ํ˜„์žฌ ํก์—ฐํ•˜๋Š” ๊ฒฝ์šฐ ๋น„ํก์—ฐ์— ๋น„ํ•ด, ๊ณ ์œ„ํ—˜ ์Œ์ฃผ๋ฅผ ํ•˜๋Š” ๊ฒฝ์šฐ ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ์— ๋น„ํ•ด, ์ฃผ๊ด€์  ์ŠคํŠธ๋ ˆ์Šค ์ˆ˜์ค€์ด ๋งŽ์ด ๋Š๋‚Œ์œผ๋กœ ์‘๋‹ตํ• ์ˆ˜๋ก, ๋น„๋งŒ์—ฌ๋ถ€๊ฐ€ ์ •์ƒ์ธ ์ค‘๋…„ ์„ฑ์ธ์ด ๋น„๋งŒ์ธ ์ค‘๋…„ ์„ฑ์ธ์— ๋น„ํ•ด, ์ธํ„ฐ๋„ทยท๊ฒŒ์ž„ยท์Šค๋งˆํŠธํฐ ์‚ฌ์šฉ์œผ๋กœ ์ผ์ƒ์ƒํ™œ์˜ ์ง€์žฅ์ด ํด์ˆ˜๋ก ์šฐ์šธ์ฆ์ƒ ์œ ๋ณ‘ ์˜ค์ฆˆ๋น„๊ฐ€ ๋†’์•˜์œผ๋ฉฐ, ๊ฑฐ์ฃผํ•˜๋Š” ์ง€์—ญ์˜ ๊ตํ†ต๋ฌธํ™”์ง€์ˆ˜๊ฐ€ 1๋‹จ์œ„ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก, ํ™”์žฌ ๋ถ„์•ผ์˜ ์ง€์—ญ์•ˆ์ „๋“ฑ๊ธ‰์ด 3๋“ฑ๊ธ‰์— ๋น„ํ•ด 5๋“ฑ๊ธ‰์—์„œ, ๊ตํ†ต์‚ฌ๊ณ  ๋ถ„์•ผ์˜ ์ง€์—ญ์•ˆ์ „๋“ฑ๊ธ‰์ด 5๋“ฑ๊ธ‰์— ๋น„ํ•ด 1๋“ฑ๊ธ‰์œผ๋กœ ๋†’์•„์งˆ์ˆ˜๋ก, ๋ฒ”์ฃ„ ๋ถ„์•ผ์˜ ์ง€์—ญ์•ˆ์ „๋“ฑ๊ธ‰์ด 5๋“ฑ๊ธ‰ ๋Œ€๋น„ 1๋“ฑ๊ธ‰์—์„œ, ์ƒํ™œ์•ˆ์ „ ๋ถ„์•ผ์˜ ์ง€์—ญ์•ˆ์ „๋“ฑ๊ธ‰์ด 1๋“ฑ๊ธ‰ ๋Œ€๋น„ 5๋“ฑ๊ธ‰์—์„œ ์šฐ์šธ์ฆ์ƒ ์œ ๋ณ‘ ์˜ค์ฆˆ๋น„๊ฐ€ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” 40์„ธ ์ด์ƒ 65์„ธ ๋ฏธ๋งŒ์˜ ์ค‘๋…„ ์„ฑ์ธ์„ ๋Œ€์ƒ์œผ๋กœ ๊ฐœ์ธ ์ˆ˜์ค€ ๋ฐ ์‹œยท๊ตฐยท๊ตฌ ๋‹จ์œ„์˜ ์ง€์—ญ ์ˆ˜์ค€ ์š”์ธ์„ ๋‹ค์ธต์ ์œผ๋กœ ๊ณ ๋ คํ•˜์—ฌ ์šฐ์šธ์ฆ์ƒ ์œ ๋ณ‘์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ์š”์ธ์„ ๋ถ„์„ํ•œ ์—ฐ๊ตฌ๋กœ, ๊ฐœ์ธ ๋ฐ ์ง€์—ญ ์ˆ˜์ค€์˜ ์œ ์˜ํ•œ ์˜ํ–ฅ ์š”์ธ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ† ๋Œ€๋กœ ์ข…๋‹จ์  ์—ฐ๊ตฌ ๋“ฑ์˜ ํ›„์† ์—ฐ๊ตฌ๊ฐ€ ์ด์–ด์งˆ ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ฑฐ์ž๋ฃŒ๋กœ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ค‘๋…„ ์„ฑ์ธ์˜ ์šฐ์šธ์ฆ ์œ ๋ณ‘์„ ์˜ˆ๋ฐฉํ•˜๊ณ  ์กฐ๊ธฐ ๋ฐœ๊ฒฌํ•  ์ˆ˜ ์žˆ๋Š” ๋งž์ถคํ˜• ์ •์ฑ… ๋Œ€์•ˆ์„ ์ˆ˜๋ฆฝํ•˜๋Š” ๋ฐ ์œ ์šฉํ•œ ๊ธฐ์ดˆ์ž๋ฃŒ๋กœ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.open์„

    Viral infections in human periodontal disease

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์น˜์˜ํ•™๊ณผ, 2011.2. ๊น€๊ฐ๊ท .Maste

    ํ•œ๊ตญ๋งˆ์‚ฌํšŒ์—์„œ ์‹ค์‹œํ•œ ๋ง์˜ ์ „์‹ ๋งˆ์ทจ์— ๋Œ€ํ•œ ํ›„ํ–ฅ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ˆ˜์˜ํ•™๊ณผ, 2014. 8. ์ด์ธํ˜•.๋ณธ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ๋งˆ์‚ฌํšŒ ๋™๋ฌผ๋ณ‘์›์—์„œ ์‹œํ–‰ํ•œ ์ „์‹ ๋งˆ์ทจ ๊ฒฐ๊ณผ๋ฅผ ๋ถ„์„ํ•˜๊ณ  ๋งˆ์ทจ ์ค‘โ€ขํ›„์— ๋ฐœ์ƒํ•œ ์‚ฌ๋ง๋ฅ ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ธ์ž๋ฅผ ์ฐพ๊ธฐ ์œ„ํ•˜์—ฌ ์‹ค์‹œ๋˜์—ˆ๋‹ค. ์ด585๋‘์˜ ํ™˜๋งˆ์—์„œ ์ „์‹ ๋งˆ์ทจ๊ฐ€ ์‹ค์‹œ๋˜์—ˆ์œผ๋ฉฐ, ์ˆ˜์ˆ ์˜ ๋นˆ๋„๋Š” ์ •ํ˜•์™ธ๊ณผ ์ˆ˜์ˆ (410)์ด ๊ฐ€์žฅ ๋งŽ์ด ์‹ค์‹œ๋˜์—ˆ๊ณ , ์‚ฐํ†ต ์ˆ˜์ˆ (85), ํ˜ธํก๊ธฐ ์ˆ˜์ˆ (45) ์ˆœ์ด์—ˆ๋‹ค. 585๋‘ ์ค‘ 20๋‘๊ฐ€ ๋งˆ์ทจ ์ค‘โ€ขํ›„์— ์ฃฝ๊ฑฐ๋‚˜ ์•ˆ๋ฝ์‚ฌ ๋˜์—ˆ๋‹ค. 20๋‘ ์ค‘ 14๋‘๋Š” ์‚ฐํ†ต ์ˆ˜์ˆ ์„ ๋ฐ›์•˜๊ณ , 3๋‘๋Š” ์ •ํ˜•์™ธ๊ณผ ์ˆ˜์ˆ , 3๋‘๋Š” ํ˜ธํก๊ธฐ ์ˆ˜์ˆ ์„ ๋ฐ›์•˜๋‹ค. ์„ธ๋ถ€ ์‚ฌ๋ง์›์ธ์œผ๋กœ๋Š” ์‚ฐํ†ต ์ˆ˜์ˆ ์—์„œ๋Š” ์žฅํŒŒ์—ด, ํ˜ธํก๊ธฐ ์ˆ˜์ˆ ์—์„œ๋Š” ๊ธฐ๋„ํ์ƒ‰์ด์—ˆ๋‹ค. ์ •ํ˜•์™ธ๊ณผ ์ˆ˜์ˆ ์—์„œ๋Š” ๊ทผ์œก๋ณ‘์ฆ, ์žฌ๊ณจ์ ˆ, ์ œ์—ฝ์—ผ์ด ์•ˆ๋ฝ์‚ฌ์˜ ์›์ธ์ด์—ˆ๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ ์‚ฐํ†ต ์ˆ˜์ˆ ๊ณผ ํ˜ธํก๊ธฐ ์ˆ˜์ˆ  ํ›„์˜ ์‚ฌ๋ง๋ฅ ์€ ์ •ํ˜•์™ธ๊ณผ ์ˆ˜์ˆ  ํ›„๋ณด๋‹ค ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค(p < 0.01). ์ด์ƒ์˜ ๊ฒฐ๊ณผ๋กœ๋ถ€ํ„ฐ, ์‚ฐํ†ต์ˆ˜์ˆ ์„ ๋ฐ›๋Š” ๋ง์˜ ์‚ฌ๋ง๋ฅ ์ด ๊ฐ€์žฅ ๋†’์€ ๊ฒƒ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ์ฃผ์š” ์›์ธ์€ ์˜ˆํ›„๋ถˆ๋Ÿ‰์— ์˜ํ•œ ์•ˆ๋ฝ์‚ฌ์ด์—ˆ๋‹ค. ๋ง์˜ ๋งˆ์ทจ ์ „ํ›„ ์‚ฌ๋ง๋ฅ ์„ ๋‚ฎ์ถ”๊ธฐ ์œ„ํ•˜์—ฌ, ์‚ฐํ†ต ์ˆ˜์ˆ ์„ ๋ฐ›๋Š” ๋ง์€ ์ˆ˜์ˆ  ์ „ํ›„์˜ ์ง‘์ค‘ ๊ด€๋ฆฌ๊ฐ€ ํ•„์š”ํ•˜๊ณ , ํ˜ธํก๊ธฐ ์ˆ˜์ˆ ์„ ๋ฐ›๋Š” ๋ง์€ ํšŒ๋ณต ์ค‘ ์ฃผ์˜ ๊นŠ์€ ๊ด€์ฐฐ์ด ์ถ”์ฒœ๋œ๋‹ค.This study was conducted to analyze the various aspects of inhalation anesthesia performed at the equine hospital of Korea Racing Authority (KRA) to find out the contributing factors to the mortality during and/or after the anesthesia. A total of 585 horses that were anesthetized at the equine hospital of KRA in Gwacheon and Pusan from 2001 to 2013 were reviewed. Data from anesthetic recorded included date of anesthesia, breed, age, sex, body weight, anesthetic duration, type of surgical procedure, inhalation agent concentration (vaporizer setting, inspiratory gas, and expiratory gas), heart rate(HR), systolic blood pressure(SBP), mean blood pressure(MBP), diastolic blood pressure(DBP), respiratory rate(RR) and post-anesthetic complications. Unusual events that occurred during or after anesthesia were noted in the comments column on the anesthetic record. Among 585 cases of anesthesia, orthopedic surgery (410) was performed the most frequently, followed by colic surgery (85) and upper airway surgery (45). Twenty out of 585 horses were either euthanized or died during and/or after anesthesia. Among those twenty horses, fourteen horses received colic surgery, three received orthopedic surgery, and three received upper airway surgery. The major causes of mortality were rupturing of intestine during colic surgery and airway obstruction during recovery in upper airway surgery. Myopathy, refracture, and laminitis were the causes of mortality in orthopedic surgery. The horses that received colic and upper airway surgeries showed statistically significant higher mortality rate than horses that received orthopedic surgery (p < 0.05). The highest mortality rate due to poor and grave prognosis was observed in the horses that received colic surgery. To reduce the perioperative mortality of horses, it is recommended to provide intensive perioperative care for colic surgery and to conduct close monitoring for upper airway surgery during recovery.INTRODUCTION โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 1 MATERIALS AND METHODS โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ3 1. Data collection โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 3 2. Anesthetic procedures โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 3 3. Statistical analyses โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 4 RESULTS โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 6 DISCUSSION โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ16 REFERENCES โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ19 ABSTRACT IN KOREAN โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 22 ACKNOWLEDGEMENTS โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 24Maste

    ๋ญ‡์„ฑ๋ถ„๊ณ„์˜ ๋ชจํŠธ ๋ฌผ๋ฆฌ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ๋ฌผ๋ฆฌยท์ฒœ๋ฌธํ•™๋ถ€,2015. 2. ์ตœ๋ฌด์˜.We investigate Hubbard-type models by means of the dynamical mean-field theory (DMFT) combined with the continuous-time quantum Monte Carlo (CTQMC) method. In this thesis, a great deal of effort has been devoted to investigating diverse facets of Mott physics. Interesting phenomena in strongly correlated electron systems emerge mostly when various energy scales compete with each other. We introduce additional degrees of freedom to the standard Hubbard model. The additional degrees of freedom include a staggered lattice potential, two orbitals, bilayer structure, and superconductivity. Depending on the model system, we extend the single-site DMFT to the multi-orbital one or employ cluster extension of the DMFT. In addition, two complementary versions of CTQMC, weak and strong coupling algorithm, are adopted as an impurity solver. We first consider a Mott transition of the Hubbard model in infinite dimensions. The DMFT is employed in combination with the CTQMC method for an accurate description at low temperatures. Through the use of the double occupancy and the energy density, which are directly measured via the CTQMC method, we construct the phase diagram. We pay particular attention to the construction of the first-order phase transition line (PTL) in the coexistence region of metallic and insulating phases. The resulting PTL is found to exhibit reasonable agreement with earlier finite-temperature results. We also show, by including systematically low-temperature data, that the PTL, which is obtained independently of the previous zero-temperature results, approaches monotonically the transition point reported in earlier zero-temperature studies. We next investigate paramagnetic metal-insulator transitions in the infinite-dimensional ionic Hubbard model at finite temperatures. By means of the DMFT with an impurity solver of the CTQMC, we show that an increase in the interaction strength brings about a crossover from a band insulating phase to a metallic one, followed by a first-order transition to the Mott insulating phase. The first-order transition turns into a crossover above a certain critical temperature, which becomes higher as the strength of the staggered lattice potential is increased. Further, analysis of the temperature dependence of the energy density discloses that the intermediate metallic phase is a Fermi liquid. It is also found that the metallic phase is stable against strong staggered potentials even at very low temperatures. Finite-temperature phase transitions are also examined in the two-orbital Hubbard model with Ising-type Hunds coupling. We adopt the multi-orbital extension of the DMFT combined with the strong coupling CTQMC. It is found that there emerges a peculiar reverse-sloped first-order Mott transition between the orbital-selective Mott phase and the Mott insulator phase. It turns out that the increase of Hunds coupling lowers the critical temperature of the reverse-sloped Mott transition. Beyond a certain critical value of Hunds coupling the first-order transition becomes a finite-temperature crossover. Bilayer effects in the Hubbard model are also studied in the dynamical cluster approximation (DCA) combined with the weak coupling algorithm of CTQMC. In the magnetic phase diagrams obtained in earlier studies, there still remain several controversial issues, particularly for weak on-site Coulomb interactions. In this study, we adopt eight-site clusters which preserve the underlying lattice symmetry. Magnetic properties and associated metal-insulator transitions are examined at low temperatures, and their implications to the ground-state phase diagram are also discussed. Finally, we discuss the BCS+U model which is a natural generalization of Gutzwiller-projected BCS model. For this study, we use the DCA combined with the weak coupling CTQMC and verify the reliability of our calculation by changing the cluster size. Our main focus is on the correlation effects of the phenomenological d-wave superconductor. The transition between the superconductor and the Mott insulator is observed as we change the interaction strength or doping concentration. We discuss the change in the spectral properties of the system during the transition.Abstract i 1 Introduction 1 2 Hubbard Model and Strongly Correlated Systems 5 2.1 Derivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.2 Limiting cases . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.2.1 Noninteracting limit . . . . . . . . . . . . . . . . . . . . 10 2.2.2 Atomic limit . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.2.3 Infinite dimensions . . . . . . . . . . . . . . . . . . . . . 14 2.3 Symmetries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.3.1 Spin-rotational symmetry . . . . . . . . . . . . . . . . . 19 2.3.2 Particle-hole symmetry . . . . . . . . . . . . . . . . . . . 21 2.4 Multi-orbital Hubbard model . . . . . . . . . . . . . . . . . . . 21 2.4.1 Hunds coupling . . . . . . . . . . . . . . . . . . . . . . . 24 3 Numerical Methods 26 3.1 Dynamical Mean-Field Theory . . . . . . . . . . . . . . . . . . . 26 3.2 Dynamical Cluster Approximation . . . . . . . . . . . . . . . . . 29 3.3 Continuous-Time Quantum Monte Carlo method . . . . . . . . 31 3.3.1 Weak Coupling Algorithm . . . . . . . . . . . . . . . . . 32 3.3.2 Strong Coupling Algorithm . . . . . . . . . . . . . . . . 35 4 Estimate of the Phase Transition Line in the Infinite-Dimensional Hubbard Model 40 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 4.2 Model and method . . . . . . . . . . . . . . . . . . . . . . . . . 43 4.3 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 4.3.1 Double occupancy and energy density . . . . . . . . . . . 45 4.3.2 Phase diagram and critical point . . . . . . . . . . . . . 47 4.3.3 Phase transition line . . . . . . . . . . . . . . . . . . . . 50 4.3.4 Transition interaction strength at zero temperature . . . 57 4.3.5 Next-order correction . . . . . . . . . . . . . . . . . . . . 58 4.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 5 Correlation Effects in Band Insulator 60 5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 5.2 Model and methods . . . . . . . . . . . . . . . . . . . . . . . . . 64 5.3 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 5.3.1 Spectral properties . . . . . . . . . . . . . . . . . . . . . 66 5.3.2 Local quantities . . . . . . . . . . . . . . . . . . . . . . . 71 5.3.3 Energy density . . . . . . . . . . . . . . . . . . . . . . . 74 5.3.4 Finite-temperature phase transition . . . . . . . . . . . . 77 5.3.5 Nature of the intermediate metallic phase . . . . . . . . 80 5.3.6 Critical point of the Mott transition . . . . . . . . . . . . 83 5.3.7 Phase diagram at low temperatures . . . . . . . . . . . . 84 5.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86 6 Orbital Selective Mott Phase and Finite Temperature Transitions 87 6.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 6.2 Model and methods . . . . . . . . . . . . . . . . . . . . . . . . . 89 6.3 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 6.3.1 Finite-temperature phase diagram . . . . . . . . . . . . . 91 6.3.2 Spectral function and self-energy . . . . . . . . . . . . . 93 6.3.3 Local magnetic moments . . . . . . . . . . . . . . . . . . 95 6.3.4 Effects of Hunds coupling . . . . . . . . . . . . . . . . . 97 6.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 7 Magnetic Properties in the Bilayer Hubbard Model 100 7.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 7.2 Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 7.3 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 7.3.1 Staggered magnetization . . . . . . . . . . . . . . . . . . 104 7.3.2 Nยดeel temperatures . . . . . . . . . . . . . . . . . . . . . 106 7.3.3 Spin-resolved local spectral function . . . . . . . . . . . . 107 7.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 8 Strongly Correlated Superconductivity 110 8.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 8.2 Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 8.3 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 8.3.1 Duality of local Green function . . . . . . . . . . . . . . 113 8.3.2 Local Spectral Function for half-filled system . . . . . . . 114 8.3.3 Local spectral function for hole-doped system . . . . . . 116 8.3.4 Quasi-particle weight for half-filled system . . . . . . . . 119 8.3.5 Renormalized superconducting gap . . . . . . . . . . . . 121 8.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 A High-frequency Expansion of Green Function 124 A.1 Hubbard model . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 A.2 Ionic Hubbard model . . . . . . . . . . . . . . . . . . . . . . . . 127 A.3 Two-orbital Hubbard model . . . . . . . . . . . . . . . . . . . . 128 Bibliography 131 Abstract in Korean 143 Acknowledgement 147Docto

    Effects of the Regulatory Fit between Regulatory Focus and Message Framing on Environmental Behavioral Intentions of Elementary Students

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์‚ฌ๋ฒ”๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ํ™˜๊ฒฝ๊ต์œก์ „๊ณต,2020. 2. ๋ฅ˜์žฌ๋ช….Environmental education is truly completed when students practice and participate. If so, how can we induce action and involvement? This study began with finding answers in Higgins' Regulatory Focus Theory. Higgins referred to an individual's unique motivational nature as regulatory focus and found that persuasive messages differed by each persons disposition. The accordance between regulatory focus and messages is called Regulatory Fit. When fit occurs, people experience the right feelings. And that feeling raises people's interest and involvement. It also affects the assessment of the consequences of an action, increasing the likelihood that people will do it again. Thus, if students experience regulatory fit in environmental education, they can increase their motivation and participation in environmental action. In addition, since regulatory feelings can play a positive role in the development of individuals, the application of regulatory fit is also meaningful in terms of education. Therefore, the purpose of this study is to analyze the effect of applying the regulatory fit on environmental education. The first research question proposed to achieve this purpose is How do the regulatory focus control the influence of message framing on environmental behavioral intention? Meanwhile, studies of message framing revealed that the subject of the message and the type of subject also influenced the framing effect. Therefore, it is necessary to evaluate the framing effect considering both the elementary school students and the subjects of the study. In this regard, the second research question of this study is to set up Does the effect of environmental behavior intention vary depending on the type of message framing, even if regulatory fit occurs? In order to answer the research question, the experiment was designed with 'factorial design between 2 ร— 2 subjects' by setting message framing as an independent variable, regulatory focus as a control variable, and environmental behavior intention as a dependent variable. This study was conducted on 196 5th and 6th grade students in J, Y elementary schools in Seoul, and randomly divided the two groups and distributed the environmental education messages (gain/loss framing). After conducting the regulatory focus test of students, the effects of regulatory fit were verified through binary variance analysis and independent group t-test. In addition, to answer the second research question, the regulatory fit group was divided according to the framing type and the independent group t-test was performed to analyze the differences among the groups. The results show that there is an interaction effect between message framing and regulatory focus. That is, in the case of improvement focus, the environmental behavioral intention was higher in gain framing than in loss framing. In the case of preventive focus, the environmental behavioral intention was higher when loss framing was used. However, there was no statistically significant difference in the environmental behavioral intention according to the framing type. In this case, the message framing effect was not seen in the case of the regulatory fit, but it was confirmed that there is a difference in the type of message framing that is effective for the environmental behavioral intention according to regulatory focus. The implications of this study are summarized as follows. First, it suggested that the field of application of the regulatory focus theory could be extended to the field of environmental education. Second, the effects of regulatory fit were also confirmed in environmental education, demonstrating the possibility of using regulatory fit to achieve the goal of environmental education. Third, it provided ideas about environmental education textbooks and teaching strategies by showing that students regulatory focus should be considered when constructing environmental education messages. Fourth, it was indirectly suggested that it is necessary to experience regulatory fit in other fields of education. On the basis of these, this study proposes the use of regulatory fit in the areas of environmental education class model and textbook construction, and also suggests additional researches in environmental education to verify the effectiveness of regulatory fit.ํ™˜๊ฒฝ๊ต์œก์€ ํ•™์ƒ๋“ค์˜ ์ง€์‹๋ฟ ์•„๋‹ˆ๋ผ ํƒœ๋„์™€ ํ–‰๋™์ด ๋” ๋‚˜์€ ๋ฐฉํ–ฅ์œผ๋กœ ๋ณ€ํ™”ํ•˜๋Š” ๊ฒƒ์„ ์ถ”๊ตฌํ•˜๋ฉฐ, ํ•™์ƒ๋“ค์˜ ์‹ค์ฒœ๊ณผ ์ฐธ์—ฌ๊ฐ€ ์žˆ์„ ๋•Œ ์ง„์ •์œผ๋กœ ์™„์„ฑ๋œ๋‹ค. ๊ทธ๋ ‡๋‹ค๋ฉด, ํ•™์ƒ๋“ค์˜ ์‹ค์ฒœ๊ณผ ์ฐธ์—ฌ๋ฅผ ์–ด๋–ป๊ฒŒ ์ด๋Œ์–ด๋‚ผ ์ˆ˜ ์žˆ์„๊นŒ? ๊ฐœ์ธ์˜ ๋™๊ธฐ์™€ ๋™๊ธฐ๋ฅผ ์œ ๋ฐœํ•˜๋Š” ๊ธฐ์ œ์— ๋Œ€ํ•ด ๋ฐํžŒ ํžˆ๊ธด์Šค์˜ ์กฐ์ ˆ์ดˆ์ ์ด๋ก ์—์„œ ํ•ด๋‹ต์„ ์ฐพ๋Š” ๊ฒƒ์œผ๋กœ๋ถ€ํ„ฐ ๋ณธ ์—ฐ๊ตฌ๋Š” ์‹œ์ž‘๋˜์—ˆ๋‹ค. ํžˆ๊ธด์Šค๋Š” ๊ฐœ์ธ์˜ ๋…ํŠนํ•œ ๋™๊ธฐ ์„ฑํ–ฅ์„ ์กฐ์ ˆ์ดˆ์ ์ด๋ผ ๋ถˆ๋ €๊ณ  ๊ฐ์ž์˜ ์„ฑํ–ฅ์— ๋”ฐ๋ผ ์„ค๋“๋ ฅ์ด ์žˆ๋Š” ๋ฉ”์‹œ์ง€ ์œ ํ˜•์ด ๋‹ค๋ฆ„์„ ๋ฐํ˜”๋‹ค. ์„ฑํ–ฅ๊ณผ ๋ฉ”์‹œ์ง€๊ฐ€ ์ผ์น˜ํ•˜๋Š” ๊ฒƒ์„ ์กฐ์ ˆ์ ํ•ฉ์„ฑ์ด๋ผ ํ•˜๋Š”๋ฐ, ์กฐ์ ˆ์ ํ•ฉ์„ฑ์ด ๋ฐœ์ƒํ•˜๋ฉด ์‚ฌ๋žŒ๋“ค์€ ์˜ณ๊ณ  ๋ฐ”๋žŒ์งํ•œ ๋Š๋‚Œ์„ ๊ฒฝํ—˜ํ•œ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๊ทธ ๋Š๋‚Œ์€ ๋ฉ”์‹œ์ง€์—์„œ ์ œ์‹œํ•˜๋Š” ํ–‰๋™์— ๋Œ€ํ•œ ์‚ฌ๋žŒ๋“ค์˜ ๊ด€์‹ฌ๊ณผ ์ฐธ์—ฌ๋ฅผ ๋†’์ธ๋‹ค. ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ํ–‰๋™์˜ ๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ํ‰๊ฐ€์—๋„ ์˜ํ–ฅ์„ ๋ฏธ์ณ ์‚ฌ๋žŒ๋“ค์ด ๊ทธ ํ–‰๋™์„ ๋‹ค์‹œ ํ•˜๊ฒŒ ๋  ๊ฐ€๋Šฅ์„ฑ์„ ๋†’์ธ๋‹ค. ๋”ฐ๋ผ์„œ ํ™˜๊ฒฝ๊ต์œก์— ์žˆ์–ด ํ•™์ƒ๋“ค๋กœ ํ•˜์—ฌ๊ธˆ ์กฐ์ ˆ์ ํ•ฉ์„ฑ์„ ๊ฒฝํ—˜ํ•˜๊ฒŒ ํ•œ๋‹ค๋ฉด, ํ™˜๊ฒฝํ–‰๋™์— ๋Œ€ํ•œ ๋™๊ธฐ์™€ ์ฐธ์—ฌ๋ฅผ ๋†’์ผ ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ ์ ํ•ฉ๊ฐ์ •์€ ๊ฐœ์ธ์˜ ๋ฐœ๋‹ฌ์— ์žˆ์–ด์„œ๋„ ๊ธ์ •์ ์ธ ์—ญํ• ์„ ํ•  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์กฐ์ ˆ์ ํ•ฉ์„ฑ์„ ์ ์šฉํ•˜๋Š” ๊ฒƒ์€ ๊ต์œก์ ์ธ ์ธก๋ฉด์—์„œ๋„ ์˜๋ฏธ๋ฅผ ๊ฐ–๋Š”๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ์กฐ์ ์ ํ•ฉ์„ฑ์„ ํ™˜๊ฒฝ๊ต์œก์— ์ ์šฉํ•˜์—ฌ ๊ทธ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ๊ณ„ํšํ•˜์˜€๋‹ค. ๋ณธ ๋ชฉ์ ์„ ์ด๋ฃจ๊ธฐ ์œ„ํ•ด ์ œ์‹œํ•œ ์—ฐ๊ตฌ ์งˆ๋ฌธ ์ฒซ๋ฒˆ์งธ๋Š” ์ดˆ๋“ฑํ•™์ƒ์˜ ์กฐ์ ˆ์ดˆ์ ์„ฑํ–ฅ์€ ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ์ด ํ™˜๊ฒฝํ–‰๋™์˜๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์–ด๋–ป๊ฒŒ ์กฐ์ ˆํ•  ๊ฒƒ์ธ๊ฐ€?์ด๋‹ค. ํ•œํŽธ, ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋“ค์€ ๋ฉ”์‹œ์ง€์˜ ์ฃผ์ œ๋‚˜ ํ”ผํ—˜์ž์˜ ์œ ํ˜•๋„ ํ”„๋ ˆ์ด๋ฐ ํšจ๊ณผ์— ์˜ํ–ฅ์„ ๋ฏธ์นจ์„ ๋ฐํ˜”๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ดˆ๋“ฑํ•™์ƒ์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ํ™˜๊ฒฝ๊ต์œก ์ธก๋ฉด์—์„œ ์ ‘๊ทผํ•˜๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ์—ฐ๊ตฌ ๋Œ€์ƒ์ธ ์ดˆ๋“ฑํ•™์ƒ๊ณผ ํ™˜๊ฒฝ์ด๋ผ๋Š” ์ฃผ์ œ๋ฅผ ๋ชจ๋‘ ๊ณ ๋ คํ•˜์—ฌ ํ”„๋ ˆ์ด๋ฐ ํšจ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ์ด๋Ÿฌํ•œ ์ธก๋ฉด์—์„œ ๋ณธ ์—ฐ๊ตฌ์˜ ๋‘๋ฒˆ์งธ ์—ฐ๊ตฌ ์งˆ๋ฌธ์œผ๋กœ ์กฐ์ ˆ์ ํ•ฉ์„ฑ์ด ๋ฐœ์ƒํ•˜๋”๋ผ๋„, ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ์˜ ์œ ํ˜•์— ๋”ฐ๋ผ ํ™˜๊ฒฝํ–‰๋™์˜๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ๋‹ฌ๋ผ์ง€๋Š”๊ฐ€?๋ฅผ ์„ค์ •ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ์งˆ๋ฌธ์— ๋‹ตํ•˜๊ธฐ ์œ„ํ•ด ๋…๋ฆฝ๋ณ€์ˆ˜๋กœ ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ, ์กฐ์ ˆ๋ณ€์ˆ˜๋กœ ์กฐ์ ˆ์ดˆ์ , ์ข…์†๋ณ€์ˆ˜๋กœ ํ™˜๊ฒฝํ–‰๋™์˜๋„๋ฅผ ์„ค์ •ํ•˜์—ฌ 2 ร— 2 ํ”ผ์‹คํ—˜์ž ๊ฐ„ ํŒฉํ† ๋ฆฌ์–ผ ๋””์ž์ธ์œผ๋กœ ์‹คํ—˜์„ ์„ค๊ณ„ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ์€ ์„œ์šธ ์†Œ์žฌ J, Y ์ดˆ๋“ฑํ•™๊ต 5, 6ํ•™๋…„ 196๋ช…์ด์—ˆ์œผ๋ฉฐ, ํ•™์ƒ๋“ค์„ ๋ฌด์ž‘์œ„๋กœ ๋‘ ์ง‘๋‹จ์„ ๋‚˜๋ˆ„์–ด ์ด๋“๊ณผ ์†์‹ค ํ”„๋ ˆ์ด๋ฐ์œผ๋กœ ์ œ์ž‘ํ•œ ํ™˜๊ฒฝ๊ต์œก ๋ฉ”์‹œ์ง€๋ฅผ ๋ฐฐ๋ถ„ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ํ•™์ƒ๋“ค์˜ ์กฐ์ ˆ์ดˆ์  ์„ฑํ–ฅ ๊ฒ€์‚ฌ์™€ ํ™˜๊ฒฝํ–‰๋™์˜๋„ ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ•œ ํ›„, ์ด์›๋ถ„์‚ฐ๋ถ„์„๊ณผ ๋…๋ฆฝ์ง‘๋‹จ t-๊ฒ€์ •์„ ํ†ตํ•ด ์กฐ์ ˆ์ดˆ์ ์˜ ์กฐ์ ˆํšจ๊ณผ ๋ฐ ์กฐ์ ˆ์ ํ•ฉ์„ฑ์˜ ํšจ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋”๋ถˆ์–ด ๋‘๋ฒˆ์งธ ์—ฐ๊ตฌ ์งˆ๋ฌธ์— ๋‹ตํ•˜๊ธฐ ์œ„ํ•ด ์กฐ์ ˆ์ ํ•ฉ์„ฑ์ด ๋ฐœ์ƒํ•œ ์ง‘๋‹จ์„ ํ”„๋ ˆ์ด๋ฐ ์œ ํ˜•์— ๋”ฐ๋ผ ๋‚˜๋ˆ„๊ณ  ๋…๋ฆฝ์ง‘๋‹จ t-๊ฒ€์ •์„ ์‹ค์‹œํ•˜์—ฌ ์ง‘๋‹จ๊ฐ„ ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ๊ณผ ์กฐ์ ˆ์ดˆ์ ๊ฐ„์—๋Š” ์ƒํ˜ธ์ž‘์šฉ ํšจ๊ณผ๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ํ–ฅ์ƒ์ดˆ์ ์˜ ๊ฒฝ์šฐ์—๋Š” ์†์‹ค ํ”„๋ ˆ์ด๋ฐ์— ๋น„ํ•ด ์ด๋“ ํ”„๋ ˆ์ด๋ฐ์—์„œ ํ™˜๊ฒฝํ–‰๋™์˜๋„๊ฐ€ ๋” ๋†’์•˜๊ณ , ์˜ˆ๋ฐฉ์ดˆ์ ์˜ ๊ฒฝ์šฐ์—๋Š” ์ด๋“ ํ”„๋ ˆ์ด๋ฐ์— ๋น„ํ•ด ์†์‹ค ํ”„๋ ˆ์ด๋ฐ์„ ์‚ฌ์šฉํ–ˆ์„ ๋•Œ ํ™˜๊ฒฝํ–‰๋™์˜๋„๊ฐ€ ๋” ๋†’์•˜๋‹ค. ํ•˜์ง€๋งŒ ์กฐ์ ˆ์ ํ•ฉ์„ฑ์ด ๋ฐœ์ƒํ•œ ๊ฒฝ์šฐ ํ”„๋ ˆ์ด๋ฐ ์œ ํ˜•์— ๋”ฐ๋ผ ํ™˜๊ฒฝํ–‰๋™์˜๋„์— ์ฐจ์ด๊ฐ€ ์žˆ๋Š”์ง€ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜์ง€ ์•Š์•˜๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์กฐ์ ˆ์ ํ•ฉ์„ฑ์ด ๋ฐœ์ƒํ•œ ๊ฒฝ์šฐ ๋‚ด์—์„œ๋Š” ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ ํšจ๊ณผ๊ฐ€ ๋ณด์ด์ง€ ์•Š์ง€๋งŒ, ์กฐ์ ˆ์ดˆ์ ์„ฑํ–ฅ์— ๋”ฐ๋ผ ํ™˜๊ฒฝํ–‰๋™์˜๋„์— ํšจ๊ณผ์ ์ธ ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ์˜ ์œ ํ˜•์— ์ฐจ์ด๊ฐ€ ์žˆ์Œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋ณธ ์—ฐ๊ตฌ์˜ ์‹œ์‚ฌ์ ์„ ์ •๋ฆฌํ•˜๋ฉด, ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์กฐ์ ˆ์ดˆ์ ์ด๋ก ์˜ ์ ์šฉ ๋ถ„์•ผ๊ฐ€ ํ™˜๊ฒฝ๊ต์œก ๋ถ„์•ผ์—๊นŒ์ง€ ํ™•์žฅ๋  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•˜์˜€๋‹ค. ๋‘˜์งธ, ์กฐ์ ˆ์ ํ•ฉ์„ฑ์˜ ํšจ๊ณผ๋ฅผ ํ™˜๊ฒฝ๊ต์œก์—์„œ๋„ ํ™•์ธํ•จ์œผ๋กœ์จ ํ™˜๊ฒฝ๊ต์œก์˜ ๋ชฉํ‘œ๋‹ฌ์„ฑ์„ ์œ„ํ•œ ์กฐ์ ˆ์ ํ•ฉ์„ฑ์˜ ํ™œ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ์…‹์งธ, ํ™˜๊ฒฝ๊ต์œก ๋ฉ”์‹œ์ง€ ๊ตฌ์„ฑ ์‹œ ํ•™์ƒ๋“ค์˜ ์กฐ์ ˆ์ดˆ์  ์„ฑํ–ฅ์„ ๊ณ ๋ คํ•ด์•ผํ•จ์„ ๋ณด์—ฌ์คŒ์œผ๋กœ์จ ํ™˜๊ฒฝ๊ต์œก ๊ต์žฌ ๋ฐ ์ˆ˜์—… ์ „๋žต์— ๋Œ€ํ•œ ์•„์ด๋””์–ด๋ฅผ ์ œ๊ณตํ•˜์˜€๋‹ค. ๋„ท์งธ, ๊ต์œก์˜ ๋‹ค๋ฅธ ๋ถ„์•ผ์—์„œ๋„ ์กฐ์ ˆ์ ํ•ฉ์„ฑ์„ ๊ฒฝํ—˜ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•จ์„ ๊ฐ„์ ‘์ ์œผ๋กœ ์ œ์‹œํ•˜์˜€๋‹ค. ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ๋Š” ์กฐ์ ˆ์ ํ•ฉ์„ฑ์„ ํ™˜๊ฒฝ๊ต์œก ์ˆ˜์—… ๋ชจํ˜• ๋ฐ ๊ต์žฌ ๊ตฌ์„ฑ ๋“ฑ์˜ ์˜์—ญ์—์„œ ํ™œ์šฉํ•  ๊ฒƒ๊ณผ ์กฐ์ ˆ์ ํ•ฉ์„ฑ์˜ ํšจ๊ณผ ๊ฒ€์ฆ์„ ์œ„ํ•œ ํ™˜๊ฒฝ๊ต์œก์—์„œ์˜ ์ถ”๊ฐ€์ ์ธ ์—ฐ๊ตฌ๋ฅผ ์ œ์•ˆํ•œ๋‹ค.์ œ 1 ์žฅ ์„œ ๋ก  01 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  01 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ ๋ฌธ์ œ 04 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 05 ์ œ 1 ์ ˆ ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ 05 ์ œ 2 ์ ˆ ํ™˜๊ฒฝํ–‰๋™์˜๋„ 07 1. ํ™˜๊ฒฝ์˜๋„์™€ ํ™˜๊ฒฝํ–‰๋™์˜๋„ 07 2. ํ™˜๊ฒฝํ–‰๋™์˜๋„์™€ ํ™˜๊ฒฝํ–‰๋™ ๊ฐ„์˜ ๊ด€๊ณ„ 09 3. ํ™˜๊ฒฝํ–‰๋™์˜๋„์™€ ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ ํšจ๊ณผ 10 ์ œ 3 ์ ˆ ์กฐ์ ˆ์ ํ•ฉ์„ฑ 13 1. ์กฐ์ ˆ์ดˆ์  13 2. ์กฐ์ ˆ์ ํ•ฉ์„ฑ 16 ๊ฐ€. ์กฐ์ ˆ์ ํ•ฉ์„ฑ์˜ ๊ฐœ๋… 16 ๋‚˜. ์กฐ์ ˆ์ ํ•ฉํšจ๊ณผ 17 ๋‹ค. ์กฐ์ ˆ์ ํ•ฉ์„ฑ๊ณผ ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ 19 ๋ผ. ์กฐ์ ˆ์ ํ•ฉ์„ฑ๊ณผ ํ™˜๊ฒฝ๊ต์œก 20 ์ œ 3 ์žฅ ์—ฐ๊ตฌ์˜ ์‹ค์ œ 23 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ์ ˆ์ฐจ 23 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 24 1. ๊ฐ€์„ค ์„ค์ • ๋ฐ ์—ฐ๊ตฌ ๋ชจํ˜• 24 2. ์‹คํ—˜ ์„ค๊ณ„ 26 3. ์—ฐ๊ตฌ ๋Œ€์ƒ 27 4. ์‹คํ—˜ ์ž๊ทน๋ฌผ ์ œ์ž‘ 29 5. ์ธก์ • ๋„๊ตฌ 31 ๊ฐ€. ์กฐ์ ˆ์ดˆ์  31 ๋‚˜. ํ™˜๊ฒฝํ–‰๋™์˜๋„ 32 ๋‹ค. ์ธก์ •๋„๊ตฌ ๋ถ„์„ 33 ์ œ 4 ์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ๋ฐ ๋…ผ์˜ 35 ์ œ 1 ์ ˆ ์กฐ์ ˆ์ ํ•ฉ ํšจ๊ณผ 35 ์ œ 2 ์ ˆ ๋ฉ”์‹œ์ง€ ํ”„๋ ˆ์ด๋ฐ ์œ ํ˜•์— ๋”ฐ๋ฅธ ์กฐ์ ˆ์ ํ•ฉ ํšจ๊ณผ 39 ์ œ 3 ์ ˆ ๋…ผ์˜ ๋ฐ ์‹œ์‚ฌ์  41 ์ œ 5 ์žฅ ๊ฒฐ ๋ก  44 ์ œ 1 ์ ˆ ์š”์•ฝ ๋ฐ ๊ฒฐ๋ก  44 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ์ œ์–ธ 46 ์ฐธ๊ณ ๋ฌธํ—Œ 47 ๋ถ€๋ก 55 ์„ค๋ฌธ์ง€ 55 ๋‚ด์šฉํƒ€๋‹น์„ฑ ๊ฒ€ํ†  ์š”์ฒญ์ง€ 67 Abstract 73Maste

    ๋‘๋ฅ˜์„ญ์ทจ๊ฐ€ adiponectin๊ณผ 8-epi-PGF2ฮฑ ์กฐ์ ˆ์„ ๋™๋ฐ˜ํ•œ ์ฒด์ค‘๊ฐ์†Œ ์ด‰์ง„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    Dept. of Science for Aging/์„์‚ฌObjectives: The purpose of this study was to examine the effect of legume on body weight in obese subject.Methods: Randomized controlled study of 12 weeks with 383 participants (body mass index โ‰ฅ 25 kg/m2) was enrolled for the study. The intervention program consisted of replacing 1/3 refined rice intake with legumes three times per day as a carbohydrate source in high fat diet group while low fat diet group were recommended to eat as their usual diet.Results: In high fat diet group, intake of energy and carbohydrate were lower, while intake of fat and protein were higher. Mean weight loss at 12 weeks was 2.87ยฑ0.21 kg and 0.17ยฑ0.11 kg in the high fat diet group and low fat diet group, respectively, and was significantly different between groups (P<0.001). HDL-cholesterol and adiponectin were increased, while glucose, insulin, triglyceride, HOMA-IR index, and 8-epi-PGF2ฮฑ were decreased at 12 weeks in the high fat diet group compared with baseline.Conclusion: Consumption of legumes may accelerate weight loss accompanied by regulation of adiponectin and 8-epi-PGF2ฮฑ in obese subjects.ope

    The decision-making process analysis of North Korea nuclear issue in relation to Allison's model

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ํ–‰์ •๋Œ€ํ•™์› : ํ–‰์ •ํ•™๊ณผ ์ •์ฑ…ํ•™์ „๊ณต, 2016. 8. ์ตœ์ข…์›.์ œ1์ฐจ ๋ถํ•ต ์œ„๊ธฐ๋Š” 1993๋…„ 2์›” 13์ผ ๋ถํ•œ์ด ํ•ตํ™•์‚ฐ๊ธˆ์ง€์กฐ์•ฝ(NPT, Nuclear Nonproliferation Treaty) ํƒˆํ‡ด๋ฅผ ์„ ์–ธํ•˜๋ฉด์„œ ์ด‰๋ฐœ๋˜์—ˆ๋‹ค. 1๋…„ 7๊ฐœ์›” ๋™์•ˆ ๋ถ๋ฏธ ํ˜‘์ƒ ๊ณผ์ •์„ ๊ฑฐ์ณ 1994๋…„ 10์›” 21์ผ ๋ถ๋ฏธ ์–‘๊ตญ๊ฐ„ ์ œ๋„ค๋ฐ” ํ•ฉ์˜(Agreed Framework between the United States of America and the Democratic Peoples Republic of Korea)๋ฅผ ๋„์ถœํ•˜๋ฉด์„œ 1์ฐจ ์œ„๊ธฐ๋Š” ์ผ๋‹จ๋ฝ๋˜์—ˆ๋‹ค. ๋ถํ•ต ์œ„๊ธฐ์˜ ์ „ ๊ณผ์ •์—์„œ ํ•ต ์œ„๊ธฐ์˜ ํ•ด์†Œ๋ฅผ ์œ„ํ•ด ๋Œ€์‘ํ•ด์•ผ ํ•  ๋‚จํ•œ ์ •๋ถ€์˜ ์ •์ฑ…๊ฒฐ์ •์— ์žˆ์–ด ๋‘ ๊ฐ€์ง€ ์˜๋ฌธ์ ์„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์˜๋ฌธ์— ๋Œ€ํ•ด ์•จ๋ฆฌ์Šจ์˜ ์ œ์‹œํ•œ ํ•ฉ๋ฆฌ์  ํ–‰์œ„์ž๋ชจํ˜•, ์กฐ์งํ–‰ํƒœ๋ชจํ˜•, ์ •๋ถ€์ •์น˜๋ชจํ˜• ์„ธ ๊ฐ€์ง€ ์ •์ฑ…๊ฒฐ์ •๋ชจํ˜•์„ ์ˆœ์ฐจ์ ์œผ๋กœ ์ ์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ฒซ ๋ฒˆ์งธ ์ œ๊ธฐ๋˜๋Š” ์˜๋ฌธ์ ์€ ๋‚จํ•œ ์ •๋ถ€์˜ ํ•œ๋ฏธ ํŒ€์Šคํ”ผ๋ฆฟ ํ›ˆ๋ จ์žฌ๊ฐœ ๊ฒฐ์ •์ด๋‹ค. 1993๋…„ ๋‚จ๋ถ๊ธฐ๋ณธํ•ฉ์˜์„œ์™€ ๋น„ํ•ตํ™” ๊ณต๋™์„ ์–ธ์œผ๋กœ ๋‚จ๋ถ๊ด€๊ณ„๋Š” ์ •์ƒํ™” ๊ถค๋„์— ์˜ฌ๋ž๋‹ค. ์ด๋Ÿฌํ•œ ์ƒํ™ฉ์—์„œ ๋ถํ•œ์ด ๊ฐ€์žฅ ๋ฏผ๊ฐํ•ด ํ•˜๋Š” ํŒ€์Šคํ”ผ๋ฆฟ ํ›ˆ๋ จ์„ ์žฌ๊ฐœํ•จ์œผ๋กœ์จ NPT ํƒˆํ‡ด ์„ ์–ธ์ด๋ผ๋Š” ๋ถํ•ต ์œ„๊ธฐ์˜ ์›์ธ์„ ์ œ๊ณตํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์ •์ฑ…๊ฒฐ์ •์— ๋Œ€ํ•ด ์•จ๋ฆฌ์Šจ ๋ชจํ˜•์„ ์ ์šฉํ•œ ๊ฒฐ๊ณผ, ๋…ธํƒœ์šฐ ์ •๊ถŒ ๋ง๊ธฐ ๋Œ€๋ถ์ •์ฑ… ๊ฒฐ์ •๊ณผ์ •์—์„œ ๊ฐ€์žฅ ๊ฐ•๋ ฅํ•œ ์ •์ฑ…๊ฒฐ์ • ์˜ํ–ฅ๋ ฅ์„ ํ–‰์‚ฌํ•˜๋˜ ๋Œ€ํ†ต๋ น์˜ ๊ถŒํ•œ์ด ์•ฝํ•ด์ง์œผ๋กœ์„œ ๊ฐ ๋ถ€์ฒ˜ ๊ณ ์œ ์˜ ์กฐ์ง ๋ชฉํ‘œ์™€ ํ–‰๋™์ ˆ์ฐจ์— ์˜ํ•ด ๊ฐ๊ฐ ์šด์˜๋œ ์กฐ์งํ–‰ํƒœ์˜ ๊ฒฐ๊ณผ์˜ ์‚ฐ๋ฌผ๋กœ ๋‚˜ํƒ€๋‚œ ๊ฒƒ์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ํŠนํžˆ ๋ถ€์ฒ˜ ๊ฐ„ ์กฐ์ •๊ธฐ๊ตฌ๊ฐ€ ๋”ฐ๋กœ ์กด์žฌํ•˜์ง€ ์•Š์•˜๋˜ ๋‹น์‹œ ์กฐ์งํ–‰ํƒœ๋ชจํ˜•์ด ์„ธ ๊ฐ€์ง€ ์ •์ฑ… ๋ชจํ˜• ์ค‘ ์„ค๋ช…๋ ฅ์— ์šฐ์œ„๋ฅผ ๋ณด์˜€๋‹ค. ์ฆ‰ ํ•œ๋ฐ˜๋„ ํ‰ํ™”๋ฅผ ์œ„ํ•œ ๋ถํ•ต ์œ„๊ธฐ์˜ ํ•ด์†Œ๋ผ๋Š” ์ •์ฑ…๋ชฉํ‘œ์— ์ผ์น˜ํ•˜์ง€ ์•Š๋Š” ์ •์ฑ…๊ฒฐ์ •์€ ํ•˜์œ„ ์กฐ์ง์˜ ๊ณ ์œ  ์—…๋ฌด ์ฒ˜๋ฆฌ๋Œ€๋กœ ์šด์˜๋œ ์กฐ์งํ–‰ํƒœ ๊ฒฐ๊ณผ์˜ ์‚ฐ๋ฌผ์ด์—ˆ๋‹ค. ๋‘ ๋ฒˆ์งธ ์ œ๊ธฐ๋˜๋Š” ๋‚จํ•œ์˜ ๋น„ํ•ฉ๋ฆฌ์  ์ •์ฑ…๊ฒฐ์ •์œผ๋กœ ๋ถ๋ฏธํ˜‘์ƒ ์ผ๊ด„ํƒ€๊ฒฐ์•ˆ ๊ฑฐ๋ถ€ ๊ฒฐ์ •์ด๋‹ค. ๋ถํ•œ์˜ NPT ํƒˆํ‡ด๋กœ ์ธํ•ด ์‹œ์ž‘๋œ ๋ถํ•ต ์œ„๊ธฐ๋Š” ๋ถ๋ฏธ๊ฐ„ ํ˜‘์ƒ์„ ํ†ตํ•ด 1994๋…„ 10์›” 21์ผ ์ œ๋„ค๋ฐ” ํ•ฉ์˜๋ฅผ ๋„์ถœํ•˜๋ฉฐ 1๋…„ 7๊ฐœ์›”๊ฐ„์˜ ๋ถํ•ต ์œ„๊ธฐ๊ฐ€ ์ข…๊ฒฐ๋˜์—ˆ๋‹ค. ์ œ๋„ค๋ฐ” ํ•ฉ์˜์˜ ์›ํ˜•์€ 1993๋…„ 10์›”์— ์ œ์•ˆ๋œ ์ผ๊ด„ํƒ€๊ฒฐ ํ˜‘์ƒ์•ˆ์ด์—ˆ๋‹ค. ๋ถํ•œ์ด ํ•ต๋™๊ฒฐ๊ณผ ํ•ต์‚ฌ์ฐฐ์„ ์ˆ˜์šฉํ•˜๋ฉด ๋ฏธ๊ตญ์ด ๋ถํ•œ๊ณผ์˜ ๊ด€๊ณ„์ •์ƒํ™”๋ฅผ ๋ณด์žฅํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์•ˆ๋ณด ๋Œ€ ์•ˆ๋ณด ๋Œ€ํ˜•ํŒจํ‚ค์ง€ ๋ฐฉ์•ˆ์ด์—ˆ๋‹ค. ํ˜‘์ƒ์•ˆ์€ ๋‚จํ•œ๊ณผ ๋ถํ•œ, ๋ฏธ๊ตญ์ด ํ•ฉ์˜์— ์ด๋ฅธ ๋ถํ•ต ์œ„๊ธฐ ํ•ด์†Œ๋ฅผ ์œ„ํ•œ ํ˜‘์ƒ ๋Œ€์•ˆ์ด์—ˆ์œผ๋‚˜ ์ด๋Ÿฌํ•œ ํฌ๊ด„์  ์ ‘๊ทผ์•ˆ ์ฆ‰ ์ผ๊ฒฐํƒ€๊ฒฐ์•ˆ์„ ๊ฑฐ๋ถ€ํ•œ ๊ฒƒ์€ ๊น€์˜์‚ผ ๋Œ€ํ†ต๋ น์ด์—ˆ๋‹ค. ์ด๊ฒƒ์€ ๊ตญ๋‚ด์™ธ ์ •์น˜์  ์˜ํ–ฅ์š”์ธ์— ์˜ํ•œ ๋Œ€ํ†ต๋ น์˜ ๋‹จ๋… ์ •์น˜์  ์‚ฐ๋ฌผ๋กœ ์ •์ฑ…๊ฒฐ์ •์„ ์„ค๋ช…ํ•˜๋Š” ์ •๋ถ€์ •์น˜ ๋ชจํ˜•์˜ ์„ค๋ช…๋ ฅ์ด ๊ฐ€์žฅ ์šฐ์œ„๋ฅผ ๋ณด์˜€๋‹ค. ๋”ฐ๋ผ์„œ ํ•œ๋ฐ˜๋„์— ํ˜„์กดํ•˜๋Š” ๋ถํ•ต๋ฌธ์ œ์˜ ํ•ด๊ฒฐ์— ์žˆ์–ด ๋ณธ ์—ฐ๊ตฌ๊ฐ€ ์‹œ์‚ฌํ•˜๋Š” ์ ์€ ๋Œ€์™ธ์  ์˜ํ–ฅ์š”์ธ๊ณผ ๋”๋ถˆ์–ด ๊ตญ๊ฐ€์˜ ์ตœ์ƒ์œ„ ์ •์ฑ…๋ชฉํ‘œ์™€ ์ •์ฑ…๊ฒฐ์ •์ด ์ผ์น˜ํ•˜์ง€ ์•Š๋Š” ๋น„ํ•ฉ๋ฆฌ์  ์ •์ฑ…๊ฒฐ์ •์ด ์ด๋ฃจ์–ด์ง€๋Š” ๊ฒƒ์€ ๊ตญ๊ฐ€๋ฅผ ์ด๋ฃจ๋Š” ์ˆ˜์ค€์ฒด๊ณ„ ์ฆ‰ ํ•˜์œ„์กฐ์ง๊ณผ ํ•˜์œ„์กฐ์ง์„ ์ด๋ฃจ๋Š” ๊ฐœ์ธ์˜ ์ •์ฑ…๋ชฉํ‘œ๊ฐ€ ๋ฐ˜๋“œ์‹œ ์ผ์น˜ํ•˜๋Š” ๊ฒƒ์€ ์•„๋‹ˆ๋ฉฐ ์ด๊ฒƒ์€ ๊ตฌ์กฐ์  ํ•œ๊ณ„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ์ด๋Ÿฌํ•œ ๊ฐ ์ˆ˜์ค€์˜ ์ •์ฑ…๋ชฉํ‘œ์™€ ์ง‘ํ–‰์— ์žˆ์–ด ๊ตญ๋‚ด ์ •์น˜์  ์˜ํ–ฅ์š”์ธ์ด ํฌ๊ฒŒ ์ž‘์šฉํ•˜๋ฉฐ, ์ •๊ถŒ์ดˆ์™€ ์ •๊ถŒ๋ง ์ •์ฑ…๊ฒฐ์ •๊ถŒ์ž์˜ ๊ถŒํ•œ์˜ ์ •๋„์™€ ๊ด€๋ฃŒ์˜ ์ฐธ์—ฌ ์ •๋„์— ๋”ฐ๋ผ ์ •์ฑ…๊ฒฐ์ •์ด ์ •์ฑ…๋ชฉํ‘œ์™€ ์ผ์น˜ํ•˜๋Š” ํ•ฉ๋ฆฌ์„ฑ์— ์˜ํ–ฅ๋ ฅ์„ ํ–‰์‚ฌํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋Œ€์ƒ ๋ฐ ๋ฐฉ๋ฒ• 3 ์ œ 2 ์žฅ ์ œ1์ฐจ ๋ถํ•ต ์œ„๊ธฐ ๊ณผ์ • ๊ฐœ๊ด€ 5 ์ œ 1 ์ ˆ ์ œ1์ฐจ ๋ถํ•ต ์œ„๊ธฐ์˜ ์ „๊ฐœ 5 1. ํ•ต ์œ„๊ธฐ 1๊ธฐ : ๋‚จ๋ถํ•œ ํ™”ํ•ด ์กฐ์„ฑ๊ธฐ 5 2. ํ•ต ์œ„๊ธฐ 2๊ธฐ : NPTํƒˆํ‡ด์™€ ๋ถ๋ฏธ ํ˜‘์ƒ๊ธฐ 10 3. ํ•ต ์œ„๊ธฐ 3๊ธฐ : ํ•œ๋ฐ˜๋„ ์ „์Ÿ ์œ„๊ธฐ์™€ ์ œ๋„ค๋ฐ” ํ•ฉ์˜ 13 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋ฌธ์ œ์˜ ์ œ๊ธฐ 18 ์ œ 3 ์žฅ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  21 ์ œ 1 ์ ˆ ์‚ฌ๋ก€์— ๊ด€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ 21 ์ œ 2 ์ ˆ Allison ๋ชจํ˜• 25 1. ์ด๋ก ์  ๋ฐฐ๊ฒฝ๊ณผ ๋…ผ์˜ 25 2. ์‚ฌ๋ก€์— ๋Œ€ํ•œ Allison ๋ชจํ˜•์˜ ์ ์šฉ 32 3. ๋ถ„์„์˜ ๊ธฐ๋ณธํ‹€ 36 ์ œ 4 ์žฅ ๋…ธํƒœ์šฐ ์ •๋ถ€: ํŒ€์Šคํ”ผ๋ฆฟํ›ˆ๋ จ ์žฌ๊ฐœ๊ฒฐ์ • 40 ์ œ 1 ์ ˆ ์‚ฌ๋ก€๋ถ„์„ 40 ์ œ 2 ์ ˆ ํ•ฉ๋ฆฌ์  ํ–‰์œ„์ž๋ชจํ˜• 43 ์ œ 3 ์ ˆ ์กฐ์งํ–‰ํƒœ๋ชจํ˜• 54 ์ œ 4 ์ ˆ ์ •๋ถ€์ •์น˜๋ชจํ˜• 63 ์ œ 5 ์ ˆ ์†Œ๊ฒฐ 67 ์ œ 5์žฅ ๊น€์˜์‚ผ ์ •๋ถ€: ์ผ๊ด„ํƒ€๊ฒฐ์•ˆ ๊ฑฐ๋ถ€ ๊ฒฐ์ • 70 ์ œ 1 ์ ˆ ์‚ฌ๋ก€๋ถ„์„ 70 ์ œ 2 ์ ˆ ํ•ฉ๋ฆฌ์  ํ–‰์œ„์ž๋ชจํ˜• 72 ์ œ 3 ์ ˆ ์กฐ์งํ–‰ํƒœ๋ชจํ˜• 78 ์ œ 4 ์ ˆ ์ •๋ถ€์ •์น˜๋ชจํ˜• 81 ์ œ 5 ์ ˆ ์†Œ๊ฒฐ 86 ์ œ 6์žฅ ๊ฒฐ๋ก  90 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์š”์•ฝ ๋ฐ ๋น„๊ต๋ถ„์„ 90 ์ œ 2 ์ ˆ ์ด๋ก ์  ํ•จ์˜ 93 ์ œ 3 ์ ˆ ์ •์ฑ…์  ํ•จ์˜ 95 ์ œ 4 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 97 ์ฐธ๊ณ  ๋ฌธํ—Œ 98 Abstract 103Maste

    ์ถฉ๋‚จ ์‚ฐ๋ฆผํƒ„์†Œ์ƒ์‡„์‚ฌ์—… ์šด์˜ํšŒ์˜(CNI์„ธ๋ฏธ๋‚˜2018-025)

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