53 research outputs found

    ร‰tude sur la mรฉthode de la fixation du Bon Usage et ses classifications dans les Remarques de Vaugelas

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    ์…€ํ”ผ์˜ SNS ๋…ธ์ถœ๊ณผ ํŒจ์…˜ ์ œํ’ˆ ๋…ธ์ถœ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์˜๋ฅ˜ํ•™๊ณผ, 2016. 2. ์ถ”ํ˜ธ์ •.๊ธฐ์ˆ ์˜ ๋ฐœ๋‹ฌ๋กœ ๋“ฑ์žฅํ•œ ์†Œ์…œ ๋„คํŠธ์›Œํฌ ์„œ๋น„์Šค๋Š” ์˜จ๋ผ์ธ ๊ณต๊ฐ„์—์„œ ์ƒˆ๋กœ์šด ๊ด€๊ณ„๋ฅผ ํ˜•์„ฑํ•˜๋„๋ก ํ–ˆ๋‹ค. ์…€ํ”ผ๋Š” ์†Œ์…œ ๋„คํŠธ์›Œํฌ ์„œ๋น„์Šค ๋‚ด์—์„œ ์ž์‹ ์„ ํ‘œํ˜„ํ•˜๋Š” ์ˆ˜๋‹จ์ด๋ฉฐ ํƒ€์ธ๊ณผ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ํ•˜๋Š” ์šฉ๋„๋กœ ์‚ฌ์šฉ๋œ๋‹ค. ์…€ํ”ผ๋Š” ํ˜„์žฌ ์ธ์Šคํƒ€๊ทธ๋žจ์— ์—…๋กœ๋“œ๋œ ์ˆ˜๊ฐ€ 400์–ต์žฅ์ด ๋„˜์„ ์ •๋„๋กœ ์„ธ๊ณ„์ ์ธ ์ธ๊ธฐ๋ฅผ ๋Œ๊ณ  ์žˆ๋‹ค. ํ˜„์žฌ ์…€ํ”ผ ํ˜„์ƒ์€ ์„ธ๊ณ„์ ์ธ ๊ฒƒ์ด๊ณ  ๊ฐœ์ธ์ด ์ฐฉ์šฉํ•œ ์˜๋ณต์ด ๋…ธ์ถœ๋œ๋‹ค๋Š” ์ ์—์„œ ํŒจ์…˜ ๋ถ„์•ผ์—์„œ์˜ ์ ‘๊ทผ์ด ํ•„์š”ํ•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์…€ํ”ผ๋ฅผ ํ™œ์šฉํ•œ ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ๋Š” ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์…€ํ”ผ์— ๋Œ€ํ•ด ๊ณ ์ฐฐํ•˜๊ณ  ๋‹ค์–‘ํ•œ ์„ ํ–‰์—ฐ๊ตฌ์—์„œ ์…€ํ”ผ ํฌ์ŠคํŒ…์˜ ์˜ํ–ฅ ์š”์ธ์œผ๋กœ ์ œ์‹œํ•œ ์ž๊ธฐ์•  ์„ฑํ–ฅ๊ณผ ์…€ํ”ผ ์—…๋กœ๋“œ ํƒœ๋„์˜ ๊ด€๊ณ„๋ฅผ ๊ทœ๋ช…ํ•  ๊ฒƒ์ด๋‹ค. ๋˜ํ•œ ์—…๋กœ๋“œ ํƒœ๋„๊ฐ€ ์…€ํ”ผ ์† ํŒจ์…˜์ œํ’ˆ ๋…ธ์ถœ๊ณผ ์™ธ๋ชจ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๋ ฅ์„ ํ™•์ธํ•  ๊ฒƒ์ด๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์†Œ์…œ ๋„คํŠธ์›Œํฌ ์„œ๋น„์Šค ์‚ฌ์šฉ์ž๋“ค์˜ ์…€ํ”ผ๋ฅผ ํ†ตํ•œ ์ž๊ธฐ ๋…ธ์ถœ ํ–‰๋™์„ ๊ด€์ฐฐํ•  ๊ฒƒ์ด๋‹ค. ์—ฐ๊ตฌ๋ฌธ์ œ๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ์ž๊ธฐ์•  ๊ฐœ๋…์„ ์ด์ฐจ์›์œผ๋กœ ์œ ํ˜•ํ™”ํ•œ ์ž๊ธฐ ์ฃผ๋„์  ์ž๊ธฐ์• ์™€ ํƒ€์ธ ์˜์กด์  ์ž๊ธฐ์• ๋ฅผ ์‚ฌ์šฉํ•œ๋‹ค. ์…€ํ”ผ ํฌ์ŠคํŒ… ํƒœ๋„๋Š” ์‚ฌํšŒ์  ๋งฅ๋ฝ์„ ๊ณ ๋ คํ•˜๋Š” ์ž๊ธฐ์ œ์‹œ ํƒœ๋„์™€ ๊ฐœ์ธ์˜ ์ •์ฒด์„ฑ์„ ํ‘œํ˜„ํ•˜๋Š” ์ž๊ธฐํ‘œํ˜„ ํƒœ๋„๋ฅผ ์„ ์ •ํ–ˆ๋‹ค. ์…€ํ”ผ ์† ํŒจ์…˜ ์ œํ’ˆ ๋…ธ์ถœ์€ ์ƒˆ๋กœ ๊ตฌ๋งคํ•œ ์ œํ’ˆ๊ณผ ์œ ํ–‰ํ•˜๋Š” ์ œํ’ˆ, ํ‰์†Œ ์ฐฉ์žฅ ๋“ฑ์œผ๋กœ ๊ตฌ๋ถ„ํ–ˆ๋‹ค. ๋˜ํ•œ ํฌ์ŠคํŒ… ๋นˆ๋„๊ฐ€ ์…€ํ”ผ ํ–‰๋™์„ ์กฐ์ ˆํ•˜๋Š”์ง€ ์‚ดํŽด๋ณด์•˜๋‹ค. ์„ค๋ฌธ ๋Œ€์ƒ์€ 2015๋…„ 9์›” ํ•œ ๋‹ฌ ๊ฐ„ ์…€ํ”ผ ํฌ์ŠคํŒ… ๊ฒฝํ—˜์ด ์žˆ๋Š” 20โˆผ30๋Œ€ ์‚ฌ์šฉ์ž๋กœ ํ•˜์˜€๋‹ค. ์˜จ๋ผ์ธ ์„ค๋ฌธ์„ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ ์ˆ˜์ง‘๋œ ์‘๋‹ต ์ž๋ฃŒ์˜ ๋ถ„์„์„ ํ†ตํ•ด ๋„์ถœํ•œ ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์ž๊ธฐ์•  ์„ฑํ–ฅ์— ๋”ฐ๋ผ ๊ฐœ์ธ ์…€ํ”ผ ํฌ์ŠคํŒ… ํƒœ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ž๊ธฐ ์ฃผ๋„์  ์ž๊ธฐ์• ๋Š” ์ž๊ธฐ์ œ์‹œ์™€ ์ž๊ธฐํ‘œํ˜„์— ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋ฉฐ ํƒ€์ธ ์˜์กด์  ์ž๊ธฐ์• ๋Š” ์ž๊ธฐํ‘œํ˜„์— ์œ ์˜ํ•œ ์ •์  ์˜ํ–ฅ์„ ๊ฐ€์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‘˜์งธ, ์…€ํ”ผ ํฌ์ŠคํŒ… ํƒœ๋„์™€ ์…€ํ”ผ ์† ํŒจ์…˜์ œํ’ˆ ๋…ธ์ถœ๊ณผ ์™ธ๋ชจ ๋งŒ์กฑ๋„์™€์˜ ๊ด€๊ณ„๋ฅผ ๊ทœ๋ช…ํ–ˆ๋‹ค. ์ž๊ธฐ์ œ์‹œ ํƒœ๋„๋Š” ์…€ํ”ผ ์† ํŒจ์…˜์ œํ’ˆ ๋…ธ์ถœ์— ์œ ์˜ํ•œ ์ •์  ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋ฉฐ ์ž๊ธฐํ‘œํ˜„ ํƒœ๋„๋Š” ์™ธ๋ชจ ๋งŒ์กฑ๋„์— ์ •์  ์˜ํ–ฅ์ด ์žˆ์—ˆ๋‹ค. ์…‹์งธ, ์…€ํ”ผ ํฌ์ŠคํŒ… ๋นˆ๋„์— ๋”ฐ๋ฅธ ์กฐ์ ˆํšจ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์…€ํ”ผ ํฌ์ŠคํŒ…์ด ์ ์€ ์ง‘๋‹จ์€ ํƒ€์ธ ์˜์กด์  ์ž๊ธฐ์•  ์„ฑํ–ฅ์˜ ๊ฐ•ํ•œ ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜, ์ž๊ธฐ์ œ์‹œ, ์ž๊ธฐํ‘œํ˜„ ํƒœ๋„์— ์ •์  ์˜ํ–ฅ์ด ์žˆ์—ˆ๋‹ค. ์ž๊ธฐ์ œ์‹œ ํƒœ๋„๋งŒ์ด ์…€ํ”ผ ์† ํŒจ์…˜ ์ œํ’ˆ ๋…ธ์ถœ์— ์ •์ ์œผ๋กœ ์œ ์˜ํ–ˆ๋‹ค. ์…€ํ”ผ ํฌ์ŠคํŒ…์ด ๋งŽ์€ ์ง‘๋‹จ์€ ์ž๊ธฐ ์ฃผ๋„์  ์ž๊ธฐ์•  ์„ฑํ–ฅ์ด ์ž๊ธฐ์ œ์‹œ ํƒœ๋„์— ๊ฐ•ํ•œ ์˜ํ–ฅ๋ ฅ์„ ๊ฐ–๊ณ  ์žˆ์—ˆ๋‹ค. ์ž๊ธฐ์ œ์‹œ ํƒœ๋„๋Š” ํŒจ์…˜์ œํ’ˆ ๋…ธ์ถœ๊ณผ ์…€ํ”ผ ์† ์™ธ๋ชจ ๋งŒ์กฑ๋„์— ์ •์  ์˜ํ–ฅ์„ ๊ฐ–๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ฐœ์ธ์˜ ์…€ํ”ผ ํ–‰๋™๊ณผ ๊ด€๋ จ๋œ ์š”์ธ๋“ค์„ ํ™•์ธํ•˜๊ณ  ์…€ํ”ผ ์† ํŒจ์…˜์ œํ’ˆ ๋…ธ์ถœ๊ณผ ์™ธ๋ชจ ๋งŒ์กฑ๋„๋ฅผ ํ†ตํ•ด ์ด ๋ถ„์•ผ์˜ ์—ฐ๊ตฌ ๋ฒ”์œ„๋ฅผ ํ™•์žฅํ•˜๊ณ  ๊ตฌ์ฒดํ™”์‹œํ‚จ ์ ์—์„œ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ๋˜ํ•œ ์…€ํ”ผ ํ–‰๋™ ์š”์ธ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ๋ถ„์„ํ•˜์—ฌ ์‹ค์ฆ์—ฐ๊ตฌ๋ฅผ ์‹œ๋„ํ•˜์˜€๋‹ค๋Š” ์ ์—์„œ ํ›„์†์—ฐ๊ตฌ์˜ ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•˜์˜€๋‹ค.์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ์˜์˜ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ชฉ์  5 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ๊ตฌ์„ฑ 6 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 7 ์ œ 1 ์ ˆ ์…€ํ”ผ์™€ ์ž์•„ 7 1. ์†Œ์…œ ๋„คํŠธ์›Œํฌ ์„œ๋น„์Šค 7 2. ์…€ํ”ผ ํ˜„์ƒ ์ •์˜ 10 3. ์…€ํ”ผ์˜ ์ƒ์ง•์  ์ƒํ˜ธ์ž‘์šฉ ์ด๋ก  12 4. ์…€ํ”ผ์™€ ์ž๊ธฐ ๊ฐ์ฒดํ™” ํ˜„์ƒ 14 ์ œ 2 ์ ˆ ์…€ํ”ผ์™€ ์ž๊ธฐํ‘œํ˜„, ์ž๊ธฐ์ œ์‹œ ํƒœ๋„ 19 1. ํƒœ๋„์˜ ๊ธฐ๋Šฅ์ด๋ก  19 2. ์…€ํ”ผ์— ๋Œ€ํ•œ ์ž๊ธฐํ‘œํ˜„ ํƒœ๋„ 21 3. ์…€ํ”ผ์— ๋Œ€ํ•œ ์ž๊ธฐ์ œ์‹œ ํƒœ๋„ 23 ์ œ 3 ์ ˆ ์ž๊ธฐ์•  26 1. ์ž๊ธฐ์•  ๊ฐœ๋… 26 2. ์ž๊ธฐ์• ์˜ ์…€ํ”ผ ์†Œ๋น„ 29 3. ์ž๊ธฐ ์ฃผ๋„์  ์ž๊ธฐ์• ์™€ ํƒ€์ธ ์˜์กด์  ์ž๊ธฐ์•  33 ์ œ 4 ์ ˆ ์…€ํ”ผ์˜ SNS ๋…ธ์ถœ 36 1. ์…€ํ”ผ ์† ํŒจ์…˜์ œํ’ˆ ๋…ธ์ถœ 36 2. ์…€ํ”ผ ์† ์™ธ๋ชจ๋งŒ์กฑ๋„ 37 ์ œ 3 ์žฅ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• ๋ฐ ์ ˆ์ฐจ 39 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๊ฐ€์„ค ๋ฐ ์—ฐ๊ตฌ ๋ชจํ˜• 39 1. ์—ฐ๊ตฌ ๋ฌธ์ œ ๋ฐ ๊ฐ€์„ค์˜ ์„ค์ • 39 2. ์—ฐ๊ตฌ๋ชจํ˜• 42 ์ œ 2 ์ ˆ ์‹ค์ฆ์  ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 43 1. ์—ฐ๊ตฌ ๋Œ€์ƒ ๋ฐ ๋ฐฉ๋ฒ• 43 2. ์„ค๋ฌธ์ง€ ๋ฌธํ•ญ์˜ ๊ตฌ์„ฑ 43 ์ œ 3 ์ ˆ ์ž๋ฃŒ ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ• 50 1. ์ž๋ฃŒ์˜ ์ˆ˜์ง‘๊ณผ ํ‘œ๋ณธ์˜ ๊ตฌ์„ฑ 50 2. ์ž๋ฃŒ์˜ ๋ถ„์„๋ฐฉ๋ฒ• 51 ์ œ 4 ์žฅ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ ๋ฐ ๋…ผ์˜ 52 ์ œ 1 ์ ˆ ์กฐ์‚ฌ ๋Œ€์ƒ์ž ํŠน์„ฑ 52 1. ์ธ๊ตฌ ํ†ต๊ณ„ํ•™์  ํŠน์„ฑ 52 2. ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž์˜ ์†Œ์…œ ๋„คํŠธ์›Œํฌ ์„œ๋น„์Šค ์ด์šฉ ํ˜„ํ™ฉ 53 3. ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž์˜ ์…€ํ”ผ ์ดฌ์˜ ํ–‰๋™ 54 ์ œ 2 ์ ˆ ์ž๊ธฐ์• ์™€ ํƒœ๋„ ๊ธฐ๋Šฅ์ด ์…€ํ”ผ ์† ํŒจ์…˜ ์ œํ’ˆ ๋…ธ์ถœ๊ณผ ์™ธ๋ชจ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ๊ฒ€์ฆ 57 1. ์ธก์ •๋„๊ตฌ ๊ฒ€์ฆ 57 2. ์ž๊ธฐ์•  ์„ฑํ–ฅ๊ณผ ํƒœ๋„ ๊ธฐ๋Šฅ์ด ์…€ํ”ผ ํ–‰๋™์— ๋Œ€ํ•œ ์˜ํ–ฅ๋ ฅ ๊ฒ€์ฆ 63 3. ์…€ํ”ผ ํฌ์ŠคํŒ… ๋นˆ๋„์˜ ์กฐ์ ˆํšจ๊ณผ ๊ฒ€์ฆ 65 ์ œ 5 ์žฅ ๊ฒฐ๋ก  69 ์ œ 1 ์ ˆ ์š”์•ฝ ๋ฐ ๊ฒฐ๋ก  69 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ์‹œ์‚ฌ์  73 1. ์—ฐ๊ตฌ์˜ ํ•™๋ฌธ์  ์‹œ์‚ฌ์  73 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ›„์†์—ฐ๊ตฌ๋ฅผ ์œ„ํ•œ ์ œ์–ธ 75 ์ฐธ๊ณ ๋ฌธํ—Œ 76 Abstract 90 ๋ถ€๋ก 93Maste

    Phenolic compounds and antifungal activity of thinned strawberry fruits

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    Thesis(masters) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์‹๋ฌผ์ƒ์‚ฐ๊ณผํ•™๋ถ€(์›์˜ˆ๊ณผํ•™์ „๊ณต),2008.8.Maste

    Clinical significance of Pre-S(2)Ag in patients with HBsAg

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    ์˜ํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] HBV DNA๋‚ด Pre-S(2)gene์— ์˜ํ•˜์—ฌ ๋ฐ”์ด๋Ÿฌ์Šค ์™ธ๋ง‰(envelope)์˜ Pre-S(2)Ag์ด ๋งŒ๋“ค์–ด์ง€๋ฉฐ, ์ด ํ•ญ์›์— ์˜ํ•˜์—ฌ anti-Pre-S(2)์˜ ํ˜•์„ฑ์ด ์œ ๋„๋œ๋‹ค. ์ด Pre-S(2)Ag์€ HBV DNA์™€ HBeAg๊ณผ ํ•จ๊ป˜ ๊ธ‰์„ฑ๊ฐ„์—ผ์˜ ์ดˆ๊ธฐ์˜ ํ˜ˆ์•ก์— ๋‚˜ํƒ€๋‚˜๋ฉฐ HBeAg๋ณด๋‹ค ๋จผ์ € ์†Œ์‹ค๋œ๋‹ค๊ณ  ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๋˜ HBV DNA์˜ ๋…ธ๋„๊ฐ€ Pre-S(2)Ag์˜ ๋†๋„์˜ ๋ณ€ํ™”์™€ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ๋‹ค๋Š” ๋ณด๊ณ ๊ฐ€ ์žˆ๋‹ค. ์—ฐ๊ตฌ์ž๋Š” 1988๋…„ 4์›”๋ถ€ํ„ฐ 9์›”๊นŒ์ง€ ์˜๋™์„ธ๋ธŒ๋ž€์Šค๋ณ‘์› ์™ธ๋ž˜ ๋ฐ ์ž…์› ํ™˜์ž์ค‘ HBsAg ์–‘์„ฑ์ธ ๊ธ‰์„ฑ๊ฐ„์—ผ, ๋งŒ์„ฑ๊ฐ„์—ผ, ๊ฐ„๊ฒฝ๋ณ€์ฆ, ๋ฌด์ฆ์ƒ ๋ณด๊ท ์ž๋กœ ๋‚ด์›ํ•œ ์ด 73๋ช…์„ ๋Œ€์ƒ์œผ๋กœ Pre-S(2)Ag, anti-Pre-S(2), HBsAg, Anti-HBs, anti-HBe, HBV DNA๋ฅผ ๊ฒ€์‚ฌํ•˜์—ฌ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์—ˆ๋‹ค. 1. HBsAg ์–‘์„ฑ์ธ 73์˜ˆ์ค‘ 60์˜ˆ(82.1%)์—์„œ Pre-S(2)Ag์ด ๊ฒ€์ถœ๋˜์—ˆ๋‹ค. ๊ฐ ์ง„๋‹จ๋ณ„๋กœ๋Š” ๊ธ‰์„ฑ๊ฐ„์—ผ์ด 82.3%, ๋งŒ์„ฑ๊ฐ„์—ผ์ด 93.9%, ๊ฐ„๊ฒฝ๋ณ€์ฆ์ด 10%, ๋ฌด์ฆ์ƒ ๋ณด๊ท ์ž๊ฐ€ 76.9%์˜€๋‹ค. 2. anti-Pre-S(2)๋Š” ์ „ ์˜ˆ์—์„œ ๊ฒ€์ถœ๋˜์ง€ ์•Š์•˜๋‹ค. 3. Pre-S(2)Ag์€ HBeAg ์–‘์„ฑ๊ตฐ์—์„œ 92.3%, anti-HBe ์–‘์„ฑ๊ตฐ์—์„œ๋Š” 60%๋ฅผ ์ฐจ์ง€ํ–ˆ์œผ๋ฉฐ ๋‘ ๊ตฐ๊ฐ„์—๋Š” ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค(P<0.05). 4. Pre-S(2)Ag์˜ ๋†๋„๋Š” HBeAg ์–‘์„ฑ์ธ ๊ตฐ์—์„œ 1.047ยฑ1.007 O.D.์ด๋ฉฐ, anti-HBe ์–‘์„ฑ๊ตฐ์—์„œ๋Š” 0.369ยฑ0.463 O.D. ์ด์—ˆ์œผ๋ฉฐ ๋‘ ๊ตฐ๊ฐ„์—๋Š” ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค(P<0.01). 5. Pre-S(2)Ag์€ HBV DNA ์–‘์„ฑ๊ตฐ์—์„œ 92%๋ฅผ ์ฐจ์ง€ํ–ˆ์œผ๋ฉฐ, HBV DNA ์Œ์„ฑ๊ตฐ์—์„œ 75%๋กœ ๋‘ ๊ตฐ๊ฐ„์—๋Š” ํ†ต๊ณ„์  ์œ ์˜์„ฑ์ด ์žˆ์—ˆ๋‹ค(P<0.05). 6. ํ˜ˆ์ฒญ๋‚ด HBV DNA ๋†๋„์™€ Pre-S(2)Ag์˜ ๋†๋„์™€๋Š” ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์—†์—ˆ๋‹ค. 7. HBV DNA ์–‘์„ฑ๊ตฐ๊ณผ ์Œ์„ฑ๊ตฐ์˜ Pre-S(2)Ag์˜ ํ‰๊ท ์น˜๋Š” ๊ฐ๊ฐ 1.021ยฑ0.93 O.D., 0.582ยฑ0.786์œผ๋กœ ๋‘ ๊ตฐ๊ฐ„์—๋Š” ํ†ต๊ณ„ํ•™์ ์ธ ์œ ์˜ํ•œ ์ฐจ์ด ์—†์—ˆ๋‹ค. ์ด์ƒ์˜ ๊ฒฐ๊ณผ๋กœ Pre-S(2)Ag์€ ๋ฐ”์ด๋Ÿฌ์Šค์˜ ์ฆ์‹์„ ๋ฐ˜์˜ํ• ์ˆ˜๋„ ์žˆ์œผ๋‚˜ ๊ทธ ์ •๋„๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ด ์ฃผ์ง€๋Š” ๋ชปํ•˜๋ฉฐ, ๋”ฐ๋ผ์„œ HBV DNA๋‚˜ DNA polymerase์— ๋น„ํ•˜์—ฌ ์ž„์ƒ์  ๊ฐ€์น˜๊ฐ€ ์ ์€ ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. ๊ธ‰์„ฑํšŒ๋ณต๊ธฐ์— Pre-S(2)Ag์€ HBV DNA๋ณด๋‹ค๋Š” ๋Šฆ๊ฒŒ, HBsAg๋ณด๋‹ค ๋นจ๋ฆฌ ์†Œ์‹ค๋˜๋ฉฐ, HBeAg๊ณผ์˜ ๊ด€๊ณ„๋Š” ํ™•์‹คํ•˜์ง€ ์•Š์•˜์œผ๋ฉฐ, ์•ž์œผ๋กœ Pre-S(2)Ag์˜ ์†Œ์‹ค๊ณผ anti-Pre-S(2)์˜ ์ถœํ˜„์ด ๋งŒ์„ฑ๊ฐ„์—ผ์œผ๋กœ์˜ ์ดํ–‰ ์—ฌ๋ถ€๋ฅผ ๋ฐ˜์˜ํ•˜๋Š ์˜ˆํ›„์ธ์ž๋กœ ์œ ์šฉํ•œ์ง€์— ๊ด€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. [์˜๋ฌธ] Pre-S(2) gene in HBV DNA genome encodes a peptide in HBV envelope which is called Pre-S(2)Ag, and this antigenic deter-minant stimulate the formation of anti-Pre-S(2). It has been reported that Pre-S(2)Ag appear in the early phase of acute viral hepatitis with HBV DNA, HBeAg, and there is a correlation between titer of HBV DNA and that of Pre-S(2)Ag. We collected total 73 cases with a diagnosis of actue viral hepatitis, chronic hepatitis, liver cirrhosis, and asymptomatic carrier, from April to September, 1988 in order to check Pre-S(2), anti-Pre-S(2), HBsAg, anti-HBs, HbeAg, and anti-HBe. The following results were obtained. 1. Pre-S(2)Ag was seen in 60 cases(82.1%) of 73 HBsAg positive patients. 2. Anti-Pre-S(2) was not detected in all cases. 3. Pre-S(2)Ag was seen in 92.3% of HBeAg positive patients and in 60% of anti-HBe positive patients. There is a statistic significance between two group(p<0.05). 4. The mean value of Pre-S(2)Ag was 1.047ยฑ1.007 O.D. in HBeAg(+) patients and 0.369ยฑ0.463 O.D. in anti-HBe(+) patients. There is a statistic significance between two groups(p<0.01). 5. Pre-S(2)Ag was seen in 92% of HBV DNA(+) patients and in HBV DNA(-) patients. There is a statistical significance between two groups(p<0.05). 6. There was no correlationship between titer of HBV DNA and Pre-S(2)AG. 7. The mean value of Pre-S(2)Ag was 1.201ยฑ0.93 O.D. in HBV DNA(-) patients. There is no statistical significance. In conclusion, Pre-S(2)Ag seemed to reflect the replication of virus but not the degree of replication. Pre-S(2)Ag was suggested to have no more significance than HV DNA, but earlier than HBsAg. We need the ;ong-term follow-up to see the prognostic value with anti-Pre-S(2).restrictio

    Design of Multulayer Composite-Antenna-Structures considering Adhesive Effects

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    Analysis based on the gap between recognition and practice of physician's interpersonal service

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    ๋ณ‘์›ํ–‰์ •ํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ์ด ์—ฐ๊ตฌ๋Š” ์˜์‚ฌ์˜ ๋Œ€๋ฉด์„œ๋น„์Šค์— ๋Œ€ํ•œ ์ธ์‹ ๋ฐ ์‹ค์ฒœ๊ฐ„ ์ฐจ์ด์— ๋ฏธ์น˜๋Š” ์š”์ธ์„ ์•Œ์•„๋ณด๊ณ ์ž ์‹ค์‹œํ•˜์˜€๋‹ค. ์˜์‚ฌ์˜ ์ธ๊ตฌ์‚ฌํšŒํ•™์ , ์—…๋ฌด, ๊ณ ๊ฐ๋งŒ์กฑ ๋ฐ ์ง๋ฌด ๊ด€๋ จ ํŠน์„ฑ์ด ๋Œ€๋ฉด์„œ๋น„์Šค์— ๋Œ€ํ•œ โ€˜์‹ค์ฒœ๋„-์ธ์‹๋„ ๊ฐญโ€™์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ๊ทธ๋ฆฌ๊ณ  ์‹ค์ฒœ๋„, ์ธ์‹๋„์˜ ํ˜„ ์ˆ˜์ค€ ๋ฐ ๋ฌธ์ œ์ ์„ ํŒŒ์•…ํ•˜์—ฌ ์˜์‚ฌ์˜ ๋Œ€๋ฉด์„œ๋น„์Šค ํ–ฅ์ƒ์„ ์œ„ํ•œ ๊ฐœ์„  ๋ฐฉ์•ˆ ๋ฐ ์ „๋žต์  ๊ฒ€ํ† ๋ฅผ ์ œ์‹œํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•์€ ์ผ๊ฐœ ๋Œ€ํ•™๋ณ‘์›์˜ ํ™˜์ž์™€ ์ง์ ‘ ์ง„๋ฃŒ๊ฐ€ ์ด๋ฃจ์–ด์ง€๋Š” ๊ณผ ์ „๋ฌธ์˜๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๋Œ€๋ฉด์„œ๋น„์Šค ์ธก์ •์„ ์œ„ํ•œ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ์„ค๋ฌธ ๋„๊ตฌ๋Š” SERVQUAL์„ ๊ตญ๋‚ด ์„œ๋น„์Šค ํ™˜๊ฒฝ์— ์ ํ•ฉํ•œ ๋ชจ๋ธ๋กœ ์ˆ˜์ •, ๋ณด์™„ํ•œ KS-SQI ๋ชจ๋ธ์„ ์ฐธ๊ณ ํ•˜์—ฌ ์ž‘์„ฑํ•˜์˜€๋‹ค. ์„ค๋ฌธ ๋ฌธํ•ญ์€ Cronbach''s ฮฑ ๊ฐ’์„ ์ด์šฉ ์‹ ๋ขฐ์„ฑ ๊ฒ€ํ† ๋ฅผ ํ†ตํ•˜์—ฌ ๊ธฐ๋ณธ์  ์„œ๋น„์Šค, ๋ถ€๊ฐ€์„œ๋น„์Šค, ์‹ ๋ขฐ์„ฑ, ์นœ์ ˆ์„ฑ, ํŽธ์˜์„ฑ ๋“ฑ 5๊ฐœ ๋Œ€๋ฉด์„œ๋น„์Šค ์˜์—ญ์œผ๋กœ ์„ค์ •ํ–ˆ์œผ๋ฉฐ, ๋Œ€๋ฉด์„œ๋น„์Šค โ€˜์‹ค์ฒœ๋„-์ธ์‹๋„ ๊ฐญโ€™์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ์•Œ์•„๋ณด๊ณ ์ž ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ์˜์‚ฌ์˜ ๋Œ€๋ฉด์„œ๋น„์Šค โ€˜์‹ค์ฒœ๋„-์ธ์‹๋„ ๊ฐญโ€™ ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ ์ค‘ ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ์œผ๋กœ๋Š” ์„ฑ๋ณ„, ์—ฐ๋ น, ์ „๋ฌธ์˜ ์ทจ๋“ ํ›„ ๊ฒฝ๊ณผ ๋“ฑ์ด์—ˆ์œผ๋ฉฐ, ์—…๋ฌด ํŠน์„ฑ์œผ๋กœ๋Š” ์ˆ˜์ˆ  ์—ฌ๋ถ€, ์„ ํƒ ์ง„๋ฃŒ, ์„ธ์…˜๋‹น ํ™˜์ž์ˆ˜ ๋“ฑ์ด์—ˆ๊ณ , ๊ณ ๊ฐ๋งŒ์กฑ ๊ด€๋ จํ•ด์„œ๋Š” CSํ™œ๋™ ๊ด€์‹ฌ๋„ ๋ฐ CS๊ต์œก ํ•„์š”์„ฑ ๋“ฑ์ด ์žˆ์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ง๋ฌด ํŠน์„ฑ์œผ๋กœ๋Š” ๋Œ€๋ฉด์„œ๋น„์Šค ๋น„์ค‘, ๊ทผ๋ฌด์‹œ๊ฐ„ ๋“ฑ์ด ์˜ํ–ฅ ์š”์ธ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋Œ€๋ฉด์„œ๋น„์Šค ์ธ์‹๋„ ์ˆ˜์ค€์„ ๋ดค์„ ๋•Œ ์‹ ๋ขฐ์„ฑ์„ ๊ฐ€์žฅ ๋†’๊ฒŒ ์ธ์‹ํ•˜๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ๋ถ€๊ฐ€์„œ๋น„์Šค์—์„œ ๊ฐ€์žฅ ๋‚ฎ์€ ์ธ์‹์„ ๋ณด์—ฌ์ฃผ๊ณ  ์žˆ์—ˆ๊ณ  ์‹ค์ฒœ๋„์—์„œ๋Š” ๊ธฐ๋ณธ์  ์„œ๋น„์Šค, ์นœ์ ˆ์„ฑ, ์‹ ๋ขฐ์„ฑ์—์„œ ๋†’์€ ์‹ค์ฒœ๋„๋ฅผ ๋ณด์˜€์ง€๋งŒ ๋ถ€๊ฐ€์„œ๋น„์Šค, ํŽธ์˜์„ฑ, ๋ฌผ๋ฆฌ์  ํ™˜๊ฒฝ์—์„œ๋Š” ๋‚ฎ์€ ์ ์ˆ˜๋ฅผ ๋ณด์˜€๋‹ค. โ€˜์‹ค์ฒœ๋„-์ธ์‹๋„ ๊ฐญโ€™์€ ์‹ ๋ขฐ์„ฑ์—์„œ ๊ฐ€์žฅ ๊ฐญ์ด ์ปธ์œผ๋ฉฐ, ๊ธฐ๋ณธ์  ์„œ๋น„์Šค, ์นœ์ ˆ์„ฑ ๋ฐ ๋ฌผ๋ฆฌ์  ํ™˜๊ฒฝ ์ค‘ ์šฉ๋ชจ๋ณต์žฅ์—์„œ ๊ฐญ์— ๊ฐ€์žฅ ์ ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋Œ€๋ฉด์„œ๋น„์Šค ํ–ฅ์ƒ ๊ด€๋ จ ์‹œ๊ธ‰ํžˆ ์š”๊ตฌ๋˜๋Š” ํ•ญ๋ชฉ ๊ด€๋ จํ•ด์„œ๋Š” ์ธ๋ ฅ์ง€์› ํ™•๋Œ€๊ฐ€ ์‘๋‹ต์ž์˜ 64.8%๋กœ ๊ฐ€์žฅ ๋†’์•˜์œผ๋ฉฐ, ์˜๋ฃŒ์ˆ˜๊ฐ€ ๊ฐœ์„  ๋ฐ ๊ทผ๋ฌด ์กฐ๊ฑด ๊ฐœ์„ , ๊ณ ๊ฐ๋งŒ์กฑ ํ™œ๋™ ๊ด€๋ จ ์žฌ์ •์ง€์› ํ™•๋Œ€, ์„ธ์…˜๋‹น ํ™˜์ž์ˆ˜ ์กฐ์ • ๊ทธ๋ฆฌ๊ณ  ๊ณ ๊ฐ๋งŒ์กฑ ๊ต์œก ํ™•๋Œ€์˜ ์ˆœ์ด์—ˆ๋‹ค. ์˜์‚ฌ ๋ณธ์ธ์ด ์กฐ์ •ํ•  ์ˆ˜ ์žˆ๋Š” ๋Œ€๋ฉด์„œ๋น„์Šค์ธ ๊ธฐ๋ณธ์  ์„œ๋น„์Šค, ์นœ์ ˆ์„ฑ ๋“ฑ์—์„œ๋Š” ๊ฐญ์ด ์ ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋‚˜, ์‹œ์„ค/๋ฌผ๋ฅ˜, ์‹œ์Šคํ…œ ๋ฐ ํ”„๋กœ์„ธ์Šค ๋“ฑ ์ ‘๊ทผ์„ ํ†ตํ•˜์—ฌ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ถ€๊ฐ€์„œ๋น„์Šค, ํŽธ์˜์„ฑ ๋“ฑ์—์„œ๋Š” ๊ฐญ์ด ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด์ƒ์˜ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ์˜์‚ฌ์˜ ๋Œ€๋ฉด์„œ๋น„์Šค ํ–ฅ์ƒ์„ ์œ„ํ•œ ๊ต์œก์— ๊ธฐ์ดˆ ์ž๋ฃŒ๋กœ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฐœ์„ ํ™œ๋™์„ ์ œ์‹œํ•˜๋Š” ๊ทผ๊ฑฐ๊ฐ€ ๋  ์ˆ˜ ์žˆ๋‹ค. ๊ฐญ์ด ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚œ ๋ถ€๋ถ„์— ๋Œ€ํ•ด์„œ๋Š” ์›์ธ์„ ํŒŒ์•…ํ•˜์—ฌ ๋Œ€๋ฉด์„œ๋น„์Šค ๊ฐœ์„ ์— ์ ๊ทน ๋ฐ˜์˜ํ•ด์•ผ ํ•˜๋ฉฐ QIํ™œ๋™์ด๋‚˜ CS๊ต์œก ํ™œ์„ฑํ™”๋ฅผ ํ†ตํ•˜์—ฌ ๋Œ€๋ฉด์„œ๋น„์Šค ์ˆ˜์ค€ ํ–ฅ์ƒ ํ™œ๋™์— ์ง€์†์ ์ธ ๋…ธ๋ ฅ์„ ๊ธฐ์šธ์—ฌ์•ผ ํ•  ๊ฒƒ์ด๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ธ๋ ฅ์ง€์› ํ™•๋Œ€, ์—…๋ฌด ํ™˜๊ฒฝ ๊ฐœ์„  ๋“ฑ ์ค‘, ์žฅ๊ธฐ์ ์ธ ๊ฐœ์„ ์ฑ…์„ ํ†ตํ•˜์—ฌ ๋Œ€๋ฉด์„œ๋น„์Šค ํ–ฅ์ƒ์„ ์œ„ํ•œ ์‹œ์Šคํ…œ, ํ”„๋กœ์„ธ์Šค ๋“ฑ๋„ ๋ณด์™„ํ•ด ๋‚˜๊ฐ€์•ผ ํ•  ๊ฒƒ์ด๋‹ค. [์˜๋ฌธ]The purpose of this study is to find out the factors that makes the gap between recognition and practice of physician''s interpersonal service. It is to find out how physician''s property of population sociology, function, customer satisfaction and duty influences โ€˜practice-recognition gap'' and to grasp problems as well as current level of practice, recognition to suggest the changes for the better improvement of physician''s interpersonal service and strategic consideration. The study used questionnaire survey to measure interpersonal service of medical specialists who treat face to face with patients for examinations and treatments at a university hospital and the tool used was KS-SQI model which SERVQUAL model was adjusted for domestic service environment. Cronbach''s ฮฑ was used in order to check reliability in questionnaire and each question was divided into 5 interpersonal service dimensions, which are primary needs service, unexpected service, credibility, receptiveness, customer orientation consideration. Regression analysis was put on to find out influential factors at โ€˜practice-recognition gap''. As a result, the factors that influence โ€˜practice-recognition gap'' in population sociology property are gender, age and lapse after obtaining specialist, in function property are operation participation, selective medical examination and number of patients per section, and in customer satisfaction property are CS activity, interest and the necessity of CS education. In duty property, the factors are relative importance of interpersonal service and duty hours. In recognition of interpersonal service, credibility showed the highest recognition and unexpected service showed the lowest recognition. In practice of interpersonal service, primary needs service, receptiveness, credibility showed high practice but unexpected service, customer orientation consideration, physical environment showed low practice. The โ€˜practice-recognition gap'' had the biggest gap in credibility and in primary needs service, receptiveness and in appearance of physical environment had the smallest gap. To improve interpersonal service 64.8% of the respondents replied to expansion in human resource, the following are improvement in medical treatment charges and working conditions, improvement in financial assistance of CS activity, adjustment in number of patients per section and expansion of CS education. The interpersonal services as primary needs service and receptiveness, which the physician can control, had a small gap but for unexpected service and customer orientation consideration, which needs improvements of facility, system and process, had bigger gap. The study can be used as a basic data for education of physician''s improvement in interpersonal service and can be a base in improving activities as following. For the parts that had bigger gap, must reflect it in improvement in interpersonal service and by the revitalization of QI works or CS education must keep on working for improvement in interpersonal service. And improvements of system and process should also be considered for long period improvement as expansion in human resource and working conditions.ope

    Composition and Antimicrobial Activities of Secondary Metabolites in Tomato and Strawberry Plants

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‹๋ฌผ์ƒ์‚ฐ๊ณผํ•™๋ถ€, 2016. 2. ์ „์ฐฝํ›„.This thesis is consisted of Part I and II in tomato and strawberry researches, respectively. Chapter I and III deal with the secondary metabolites profiling and Chapter II and IV deal with antimicrobial activity of extracts from various parts of tomato and strawberry plants, respectively. In Chapter I, contents of carotenoids, phenolics, volatile organic compounds, and alkaloids in leaves, intermodal stems, fruits, and roots of โ€˜Bacchusโ€™ tomato at different developmental stages were measured. Lycopene content in red fruits was 196.2 ๏ญgยทg-1 FW. ๏ข-Carotene and lutein contents in the 24th leaves were 23.2 and 25.6 ๏ญgยทg-1 FW, respectively, and were greater than those in the other parts. Content of chlorogenic acid in the 18th leaves was 40.1 ๏ญgยทg-1 FW, while that in the other parts was lower than 31.0 ๏ญgยทg-1 FW. Contents of caffeic and vanillic acids in the 24th leaves were 9.2 and 1.6 ๏ญgยทg-1 FW, respectively, and were greater than those in the other parts. Moreover, younger leaves contained more diverse volatile organic compounds including mono- and sesquiterpenes. Contents of dehydro- and ๏ก-tomatine were greatest in leaves, followed by internodal stems, roots, and fruits. Younger leaves and internodal stems contained more dehydro- and ๏ก-tomatine than older leaves and internodal stems. Contents of dehydro- and ๏ก-tomatine in the 24th leaves were 889.1 and 1,417.9 ๏ญgยทg-1 FW, respectively, and were greatest among all parts tested. These results indicated that, except lycopene, tomato leaves contained greater secondary metabolites than red fruits. In Chapter II, antimicrobial activity was confirmed in methanol, acetone, dichloromethane, and hexane extracts from various parts of โ€˜Bacchusโ€™ tomato plants including non-edible parts. Minimum inhibitory concentration of actetonic extract from tomato leaves on Fusarium oxyspourum f. sp. lycopersici, Colletotrichum coccodes, Phytophthora capsici, Rhizoctonia solani, and Glomerella cingulata was lowest. The actetonic extracts also reduced the mycelial growth of F. oxysporum f. sp. lycopersici and R. solani. Mycelial growth of R. solani, especially, was significantly inhibited by the actetonic extracts. Bioautography on thin layer chromatography showed that the acetonic extract included two antimicrobial compounds against R. solani. The dominant antimicrobial compounds in the chromatogram were linolenic and caffeic acids. Linolenic acid had greater inhibitory effect on mycelial growth of R. solani than caffeic acid. In Chapter III, a comparative chemical analysis was performed on the compounds found in roots, leaves, petioles, runners, and green and red fruits during vegetative propagation and reproductive growth of โ€˜Seolhyangโ€™ strawberry. Contents of ellagic and gallic acids in leaves of runner plants during vegetative propagation were 7.4 and 5.1 mgยทg-1 FW, respectively, and were higher than those in the other parts. The main volatile organic compound was identified as 3-hexen-1-ol, and it was detected mostly in leaf parts. Content of ellagic acid in leaves during reproductive growth was 13.0 mgยทg-1 FW, while that in the other parts was below 6 mgยทg-1 FW. Content of gallic acid in green fruits was 2.8 mgยทg-1 FW and was higher than that in the other parts. Red fruits contained the most diverse volatile organic compounds, including sesquiterpenes, among the tested plant parts but contained the lowest contents of ellagic and gallic acids. In Chapter IV, antimicrobial activity was confirmed in methanol, acetone, dichloromethane, and hexane extracts from various parts of โ€˜Seolhyangโ€™ strawberry plants including non-edible parts. Minimum inhibitory concentration value of methanolic extract from strawberry leaves was lowest on all tested microorganisms (Fusarium oxyspourum f. sp. lycopersici, Colletotrichum coccodes, Phytophthora capsici, Rhizoctonia solani, Glomerella cingulate, and Phytophthora cactorum). The methanolic extracts also inhibited the mycelial growth of R. solani, G. cingulate, and C. coccodes. Mycelial growth of C. coccodes, especially, was significantly inhibited by the methanolic extracts. Moreover, the methanolic extracts inhibited mycelial growth of the other Colletotrichum spp. such as C. caudatum, C. higginsianum, C. liliacearum, C. lindemuthianum, C. musae, C. orbiculare, and C. truncatum. Bioautography on thin layer chromatography showed that the methanolic extract included two antimicrobial compounds against C. coccodes. The dominant antimicrobial compounds in the chromatogram were tyrosol and ๏ข-sitosterol. Tyrosol showed greater inhibitory effect on mycelial growth of C. coccodes than ๏ข-sitosterol. In conclusion, non-edible parts of tomato and strawberry, especially leaves, contained greater secondary metabolites contents than edible parts and contained antimicrobial compounds against phytopathogenic microorganisms. The results could be a useful database for utilizing of the non-edible parts which were dumped after last harvest and could provide information for developing natural antimicrobial agents against phytopathogens.GENERAL INTRODUCTION 1 LITERATURE REVIEW 7 Secondary metabolites in various parts of tomato plants 7 Antimicrobial activity of secondary metabolites in various parts of tomato plants 8 Secondary metabolites in various parts of strawberry plants 9 Antimicrobial activity of secondary metabolites in various parts of strawberry plants 10 LITERATURE CITED 14 CHAPTER I. Secondary Metabolites Profiling in Various Parts of Tomato Plants 25 ABSTRACT 25 INTRODUCTION 26 MATERIALS AND METHODS 28 RESULTS AND DISCUSSION 32 LITERATURE CITED 47 CHAPTER II. Antimicrobial Activity of Extracts from Various Parts of Tomato Plants 55 ABSTRACT 55 INTRODUCTION 56 MATERIALS AND METHODS 58 RESULTS AND DISCUSSION 63 LITERATURE CITED 81 CHAPTER III. Secondary Metabolites Profiling in Various Parts of Strawberry Plants 85 ABSTRACT 85 INTRODUCTION 86 MATERIALS AND METHODS 87 RESULTS AND DISCUSSION 90 LITERATURE CITED 105 CHAPTER IV. Antimicrobial Activity of Extracts from Various Parts of Strawberry Plants 109 ABSTRACT 109 INTRODUCTION 110 MATERIALS AND METHODS 112 RESULTS AND DISCUSSION 117 LITERATURE CITED 139 CONCLUSION 144 ABSTRACT IN KOREAN 147Docto

    Design and performance analysis of gas turbines with applications to cogeneration systems

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ธฐ๊ณ„๊ณตํ•™๊ณผ,1995.Docto
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