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    Monthly Variations of Microphytobenthos Pigments and Photo-Physiological Characteristics in the Middle Intertidal Zone of Geunso Bay, West Coast of Korea

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    In this study, the surveys were carried out from October 2016 to October 2017 along the tidal flat of Geunso Bay, Taean Peninsula of the western edge of Korea. The sampling trips were carried out for a total of 16 times, once or twice a month. In order to investigate the monthly variation of the microphytobenthos (MPB) biomass and community composition, microphytobenthic pigments on the surface of the sediment were analyzed by HPLC (High performance liquid chromatography). The total chlorophyll a (TChl a) concentrations have used as an indicator of MPB biomasses in the upper 1 cm sediment layer ranged from 40.4 to 218.9 mg m-2 throughout the sampling period. TChl a concentrations showed the maximum level on 24th of February and remained high throughout March after which it started to declined. The biomass of MPB showed high values in winter and low values in summer. The monthly variations of pheophorbide a concentrations suggested that the low grazing intensity of the predator in the winter may have partly attributed to the MPB winter blooming. As a result of monthly variations of the MPB community composition using the major marker pigments, the concentrations of fucoxanthin, the marker pigment of benthic diatoms, were the highest throughout the year. The concentrations of most of the marker pigments except for chlorophyll b (chlorophytes) and peridinin (dinoflagellates) increased in winter. However, the concentrations of fucoxanthin increased to the highest, and therefore, the relative ratios of the major marker pigments other than fucoxanthin to the TChl a decreased during this period. The vertical distribution of chlorophyll a and oxygen concentrations in the sediments using a fluorometer and an oxygen micro-optode chlorophyll a concentrations decreased with oxygen concentrations with increasing depth of the sediment layers. Moreover, this tendency became more apparent in winter. The chlorophyll a was uniformly vertical down to 12 mm from May to July, but the oxygen concentration distribution in May decreased sharply below 1 mm. The increase in pheophorbide a concentration observed at this time is likely to be caused by increased oxygen consumption of zoobenthic grazing activities. This could be presumed that MPB cells are transported downward by bioturbation of zoobenthos. Measuring chlorophyll fluorescence via Diving PAM (Pulse amplitude modulated fluorometer) at every hour was perform in order to investigate the vertical migration and photo-physiological characteristics of MPB. The steady-state fluorescence in ambient light (F๏ผ‡) increased as time passes during the daytime emersion periods, which suggests that MPB moves upward to the surface of the sediments. The light utilization efficiency of PSโ…ก (ฮ”F/Fm๏ผ‡) and the relative electron transport rate (rETR) was negatively and positively correlated to irradiance. |๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํƒœ์•ˆ๋ฐ˜๋„ ๊ทผ์†Œ๋งŒ ๊ฐฏ๋ฒŒ์—์„œ ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜(MPB)์˜ ํ˜„์กด๋Ÿ‰, ๊ตฐ์ง‘์กฐ์„ฑ์— ๋Œ€ํ•ด ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•˜์—ฌ 2016๋…„ 10์›”๋ถ€ํ„ฐ 2017๋…„ 10์›”๊นŒ์ง€ ์›” 1~2ํšŒ์”ฉ ์ด 16ํšŒ์— ๊ฑธ์ณ ๊ฐฏ๋ฒŒ ํ‘œ์ธต์— ๋ถ„ํฌํ•˜๋Š” ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜ ์ƒ‰์†Œ๋ฅผ HPLC (High performance liquid chromatography)๋ฅผ ์ด์šฉ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ฐฏ๋ฒŒ ํ‘œ์ธต 1 cm ๊นŠ์ด์— ๋ถ„ํฌํ•˜๋Š” ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜์˜ ๊ด‘ํ•ฉ์„ฑ ์ƒ‰์†Œ ์ค‘ ํ˜„์กด๋Ÿ‰์˜ ์ง€ํ‘œ๋กœ ์‚ฌ์šฉ๋˜๋Š” ์ด chlorophyll a (TChl a) ๋†๋„๋Š” ์—ฐ์ค‘ 40.4~218.9 mg m-2 ์˜ ๋ฒ”์œ„๋ฅผ ๋ณด์˜€๋‹ค. TChl a ๋†๋„๋Š” 2์›” 24์ผ์— ์ตœ๋Œ€๊ฐ’์ด ๋‚˜ํƒ€๋‚ฌ๊ณ  3์›”์—๋„ ๋†’์€ ๊ฐ’์„ ๋ณด์ธ ๋’ค ์ดํ›„ ๊ฐ์†Œํ•˜์˜€๋‹ค. ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜์˜ ํ˜„์กด๋Ÿ‰์€ ๋™๊ณ„์— ๋†’๊ณ  ํ•˜๊ณ„์— ๋‚ฎ์€ ๊ฐ’์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. Pheophorbide a ๋†๋„์˜ ์›”๋ณ„ ๋ณ€๋™์„ ํ†ตํ•ด ๋™๊ณ„์— ์ƒ์œ„ํฌ์‹์ž์˜ ๋‚ฎ์€ ํฌ์‹์••์ด ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜ ๋™๊ณ„๋ฒˆ์„ฑ์— ์ผ๋ถ€ ๊ธฐ์—ฌํ•œ ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. ๋˜ํ•œ ์ฃผ์š”์ง€์‹œ์ƒ‰์†Œ๋ฅผ ์ด์šฉํ•œ ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜ ๊ตฐ์ง‘์กฐ์„ฑ์˜ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ ์ €์„œ๊ทœ์กฐ๋ฅ˜์˜ ์ง€์‹œ์ƒ‰์†Œ์ธ fucoxanthin์˜ ๋†๋„๊ฐ€ ์—ฐ์ค‘ ๊ฐ€์žฅ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. Chlorophyll b(๋…น์กฐ๋ฅ˜), peridinin(์™€ํŽธ๋ชจ์กฐ๋ฅ˜)์„ ์ œ์™ธํ•œ ๋Œ€๋ถ€๋ถ„์˜ ์ง€์‹œ์ƒ‰์†Œ์˜ ๋†๋„๋Š” ๋™๊ณ„์— ์ฆ๊ฐ€ํ•˜์˜€์œผ๋‚˜, fucoxanthin์˜ ๋†๋„ ์ฆ๊ฐ€์œจ์ด ๊ฐ€์žฅ ๋†’์•„ fucoxanthin์„ ์ œ์™ธํ•œ TChl a์— ๋Œ€ํ•œ ์ฃผ์š”์ง€์‹œ์ƒ‰์†Œ์˜ ์ƒ๋Œ€๋น„๋Š” ๋™๊ณ„์— ๊ฐ์†Œํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์—ˆ๋‹ค. ํ˜•๊ด‘๊ด‘๋„๊ณ„์™€ ์‚ฐ์†Œ๋ฏธ์„ธ์ „๊ทน์„ ์ด์šฉํ•˜์—ฌ ์ธก์ •ํ•œ ํ‡ด์ ๋ฌผ ๋‚ด chlorophyll a์™€ ์‚ฐ์†Œ ๋†๋„์˜ ์—ฐ์ง๋ถ„ํฌ ํŠน์„ฑ์€ ํ‡ด์ ์ธต ํ‘œ๋ฉด์—์„œ ๊นŠ์ด๊ฐ€ ๊นŠ์–ด์งˆ์ˆ˜๋ก chlorophyll a์™€ ์‚ฐ์†Œ ๋†๋„๊ฐ€ ํ•จ๊ป˜ ๊ฐ์†Œํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๊ณ , ๋™๊ณ„๋กœ ๊ฐˆ์ˆ˜๋ก ์ด๋Ÿฐ ๊ฒฝํ–ฅ์ด ๋”์šฑ ๋šœ๋ ทํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•˜์ง€๋งŒ 5~7์›”์˜ chlorophyll a ๋†๋„๋Š” ๋‹ค๋ฅธ ๊ธฐ๊ฐ„์— ๋น„ํ•ด 12 mm๊นŒ์ง€ ์—ฐ์ง์œผ๋กœ ์œ ์‚ฌํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋‚˜, 5์›”์˜ ์‚ฐ์†Œ ๋†๋„ ๋ถ„ํฌ๋Š” 1 mm์ดํ•˜์—์„œ ๊ธ‰๊ฒฉํ•˜๊ฒŒ ๊ฐ์†Œํ•˜์˜€๋‹ค. ๊ฐ™์€ ์‹œ๊ธฐ์— pheophorbide a ๋†๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์•„ ์ €์„œ๋™๋ฌผ์˜ ํฌ์‹ํ™œ๋™์— ์˜ํ•œ ์‚ฐ์†Œ ์†Œ๋น„๋Ÿ‰์ด ์ฆ๊ฐ€ํ•˜์˜€์„ ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ์œผ๋ฉฐ, ์ €์„œ๋™๋ฌผ์˜ ์ƒ๋ฌผ๊ต๋ž€์— ์˜ํ•ด ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜์˜ ์„ธํฌ๊ฐ€ ์•„๋ž˜๋กœ ์˜ฎ๊ฒจ์ง„ ๊ฒƒ์œผ๋กœ ์ถ”์ธก๋œ๋‹ค. Diving PAM (Pulse amplitude modulated fluorometer)์œผ๋กœ ์—ฝ๋ก์†Œ ํ˜•๊ด‘์„ ์‹œ๊ฐ„๋ณ„๋กœ ์ธก์ •ํ•˜์—ฌ ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜์˜ ์ˆ˜์ง ์ด๋™๊ณผ ๊ด‘์ƒ๋ฆฌ์  ํŠน์„ฑ์— ๋Œ€ํ•ด ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๋‚ฎ ๋™์•ˆ ๊ฐ„์กฐ ์‹œ ์‹œ๊ฐ„์ด ์ง€๋‚จ์— ๋”ฐ๋ผ ์ž์—ฐ๊ด‘ ์กฐ๊ฑด์—์„œ์˜ ํ‰ํ˜• ์ƒํƒœ ํ˜•๊ด‘ ๋ฐœ์ƒ๋Ÿ‰(F๏ผ‡)์€ ์ฆ๊ฐ€ํ•˜์—ฌ, ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜๊ฐ€ ํ‡ด์ ๋ฌผ ํ‘œ๋ฉด์œผ๋กœ ์ˆ˜์ง ์ƒ์Šน์„ ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์ถ”์ •๋œ๋‹ค. ์ œ 2 ๊ด‘๊ณ„์˜ ์œ ํšจ์–‘์ž์ˆ˜์œจ(ฮ”F/Fm๏ผ‡)๊ณผ ์ƒ๋Œ€ ์ตœ๋Œ€ ์ „์ž์ „๋‹ฌ์œจ(rETR)์€ ์ผ์‚ฌ๋Ÿ‰์— ๋”ฐ๋ผ ๊ฐ๊ฐ ์–‘์˜ ์ƒ๊ด€๊ด€๊ณ„์™€ ์Œ์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค.List of Tables โ…ณ List of Figures โ…ด Abstract โ…ถ 1. Introduction 1.1 Avoidance strategies to reduce the light stress of MPB and necessity of research 1 1.2 Advantages of pigments analysis using HPLC and preceding studies 1 1.3 Advantages of PAM measurement 2 1.4 Aims of this study 3 2. Materials and Methods 2.1 Sampling sites 4 2.2 Photosynthetic pigments analysis 6 2.3 Chlorophyll fluorescence measurement 10 2.4 Oxygen concentration measurement 12 3. Results 3.1 Temporal variation in pigment concentrations 13 3.2 Temporal variation in fluorescence parameters 21 3.3 Distribution of oxygen concentration in sediments 25 4. Discussion 4.1 Monthly variations of MPB biomass 26 4.2 The community composition of MPB 29 4.3 Monthly Chl a vertical distribution 29 4.4 Daily vertical movement of MPB 32 4.5 Temporal variation of photo-physiological characteristics of MPB 32 5. Conclusions 34 Acknowledgements 35 References 36Maste

    ํƒ„์„ฑํŒŒ ํ† ๋ชจ๊ทธ๋ž˜ํ”ผ๋ฅผ ์ด์šฉํ•œ 3 ์ฐจ์› ์ง€๊ฐ ์†๋„ ๊ตฌ์กฐ ์‚ฐ์ถœ ๋ฐ ์œ ํšจ ๋งค์งˆ ์ด๋ก ์„ ์ ์šฉํ•œ ์•”์„์˜ ๋น„๋“ฑ๋ฐฉ์  ํƒ„์„ฑ ํŠน์„ฑ ๋ชจ๋ธ๋ง

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ์ง€๊ตฌํ™˜๊ฒฝ๊ณผํ•™๋ถ€,2020. 2. ๊น€์˜ํฌ.ํƒ„์„ฑํŒŒ ํ† ๋ชจ๊ทธ๋ž˜ํ”ผ๋Š” ํƒ„์„ฑํŒŒ ์†๋„ ๊ตฌ์กฐ๋ฅผ ์˜์ƒํ™”ํ•˜์—ฌ ์ง€๊ตฌ ๋‚ด๋ถ€ ๊ตฌ์กฐ์— ๋Œ€ํ•œ ์ง€์‹์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋ฒ•์ด๋‹ค. ์•”์„ ๋ฌผ๋ฆฌ ์ด๋ก ์— ๋”ฐ๋ฅด๋ฉด ๊ท ์—ด์ข…ํšก๋น„๊ฐ€ ์ž‘์€ ์–‡์€ ๊ท ์—ด๋“ค์ด ์กด์žฌํ•˜๋Š” ๊ฒฝ์šฐ ๋‹ค๊ณต์„ฑ์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ Vp/Vs ๊ฐ€ ์ฆ๊ฐ€ํ•˜๋Š” ๋ฐ˜๋ฉด์—, ๊ท ์—ด์ข…ํšก๋น„๊ฐ€ ํฐ ๋‘๊บผ์šด ๊ท ์—ด๋“ค์€ Vp/Vs ๋ฅผ ๊ฐ์†Œ์‹œํ‚จ๋‹ค. ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ๋Š” ํƒ„์„ฑํŒŒ ํ† ๋ชจ๊ทธ๋ž˜ํ”ผ๋กœ ์‚ฐ์ถœํ•œ Juan de Fuca Ridge ์˜ Endeavour segment ์ง€์—ญ ์ƒ๋ถ€ ํ•ด์–‘ ์ง€๊ฐ์˜ 3์ฐจ์› ์†๋„ ๊ตฌ์กฐ์™€ ํ•จ๊ป˜ ์†๋„ ๊ตฌ์กฐ ํ•ด์„์„ ์œ„ํ•ด ์ ์šฉํ•œ ์ด๋ก ์  ๋ฐฉ๋ฒ•์ธ ์ฐจ๋“ฑ ์œ ํšจ ๋งค์งˆ ์ด๋ก  (differential effective medium theory; DEM)์„ ์ œ์‹œํ•œ๋‹ค. ํƒ„์„ฑํŒŒ ์†๋„ ๊ตฌ์กฐ ์‚ฐ์ถœ์„ ์œ„ํ•ด์„œ, Endeavour segment ์˜ ์ƒ๋ถ€ ํ•ด์–‘ ์ง€๊ฐ์„ ์ „ํŒŒํ•˜์—ฌ ๊ธฐ๋ก๋œ P ํŒŒ์™€ SํŒŒ์˜ ๊ตด์ ˆํŒŒ๋ฅผ ๋ณตํ•ฉ์—ญ์‚ฐ ๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. PํŒŒ ์ฃผํ–‰์‹œ๊ฐ„๋งŒ์„ ์ด์šฉํ•ด์„œ ํ† ๋ชจ๊ทธ๋ž˜ํ”ผ๋ฅผ ์ˆ˜ํ–‰ํ•œ ์ด์ „ ์—ฐ๊ตฌ์—์„œ ํƒ„์„ฑํŒŒ ๋น„๋“ฑ๋ฐฉ์„ฑ์ด ์ถ•์ƒ์—์„œ๋Š” ๋†’์ง€๋งŒ ์ถ•์—์„œ5 โ€“ 10 km ์ •๋„ ๋ฉ€์–ด์งˆ์ˆ˜๋ก ๊ฐ์†Œํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ ์ด๋Š” ์—ด์ˆ˜ ์ˆœํ™˜๊ณผ ๊ด€๋ จ๋œ ๊ด‘๋ฌผ ์„์ถœ์— ์˜ํ•œ ๊ท ์—ด ๋ง‰ํž˜๋•Œ๋ฌธ์ด๋ผ๊ณ  ๋ณด๊ณ ํ•˜์˜€๋‹ค. Endeavour segment ์—์„œ์˜ ๊ตด์ ˆํŒŒ ๋ณตํ•ฉ์—ญ์‚ฐ ๊ฒฐ๊ณผ, ํ•ด๋ น ์ถ•์—์„œ๋Š”Vp/Vs ๊ฐ€ ๋‚ฎ๊ณ  ์ถ•์—์„œ 5 โ€“ 10 km ๋–จ์–ด์ง„ ์ง€์ ์—์„œ๋Š” Vp/Vs๊ฐ€ ๋†’์•„์ง„๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ์— DEM ๊ฒฐ๊ณผ๋ฅผ ์ ์šฉํ•˜๋ฉด, ์–‡์€ ๊ท ์—ด์— ๋Œ€ํ•œ ๋‘๊บผ์šด ๊ท ์—ด์˜ ์กด์žฌ ๋น„์œจ์ด ํ•ด๋ น ์ถ•์ƒ์—์„œ๋ถ€ํ„ฐ ๋ฉ€์–ด์งˆ์ˆ˜๋ก ๊ฐ์†Œํ•˜๋Š” ๊ฒƒ์„ ์ง€์‹œํ•œ๋‹ค. ํ•ด๋ น ์ถ• ํ•˜๋ถ€์—์„œ๋Š” ๋‘๊บผ์šด ๊ท ์—ด์ด ์—ด์ˆ˜ ์ˆœํ™˜์˜ ์ƒ์Šน ํŒŒํŠธ์— ํ•„์š”ํ•œ ์žฅ๊ธฐ๊ฐ„์˜ ์œ ์ฒด ๋„๊ด€ ์—ญํ• ์„ ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ด๋ฉฐ, ํ•ด๋ น ์ถ• ์ธก๋ฉด์—์„œ๋Š” ์—ด์ˆ˜ ์ˆœํ™˜์˜ ํ•˜๊ฐ• ํŒŒํŠธ์—์„œ ์ผ์–ด๋‚˜๋Š” ๊ด‘๋ฌผ ์„์ถœ๋กœ ์ธํ•ด ๋‘๊บผ์šด ๊ท ์—ด์ด ์ ์ง„์ ์œผ๋กœ ๋ง‰ํžˆ๊ณ  ์–‡์€ ๊ท ์—ด์˜ ๋น„์œจ์ด ์ฆ๊ฐ€ํ•˜์—ฌ ํˆฌ์ˆ˜์„ฑ์ด ๊ฐ์†Œํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. DEM ์€ ์œ ํšจ ๋งค์งˆ ์ด๋ก  (effective medium theory; EMT) ์ค‘ ํ•˜๋‚˜๋กœ ์•”์„์˜ ํƒ„์„ฑํŒŒ ์†๋„ ๋ฐ ๋น„๋“ฑ๋ฐฉ์„ฑ์„ ๋ชจ๋ธ๋งํ•˜๋Š” ๋ฐ ์ด์šฉ๋œ๋‹ค. ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ๋Š” GassDem (Gassmann Differential effective medium) ์ด๋ผ๊ณ  ๋ช…๋ช…๋œ ๋งคํ‹€๋žฉ (MATLAB) ํ”„๋กœ๊ทธ๋žจ์„ ์ œ์‹œํ•˜๊ณ  ๋ช‡ ๊ฐ€์ง€ ๋ชจ๋ธ๋ง ์˜ˆ์‹œ๋ฅผ ์‚ฌ์šฉ์ž๋“ค์ด ์‹ค์Šตํ•  ์ˆ˜ ์žˆ๋„๋ก ์„ค๋ช…ํ•œ๋‹ค. ์ด ์†Œํ”„ํŠธ์›จ์–ด๋Š” DEM ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ Gassmann (1951) ์ด ์ œ์•ˆํ•œ ๋‹ค๊ณต์„ฑ-ํƒ„์„ฑ ๊ด€๊ณ„ ์ด๋ก ์„ ๋ฐ”ํƒ•์œผ๋กœ ์•”์„ ๋ฏธ์„ธ๊ตฌ์กฐ ๋ฐ์ดํ„ฐ๋ฅผ ํ† ๋Œ€๋กœ ํƒ„์„ฑํŒŒ์˜ ๋น„๋“ฑ๋ฐฉ์„ฑ์„ ๋ชจ๋ธ๋งํ•œ๋‹ค. DEM ์€ ๋‘ ๊ฐ€์ง€ ๊ตฌ์„ฑ ์„ฑ๋ถ„์ธ ๋ฐฐ๊ฒฝ ์•”์„๊ณผ ํฌํ•จ๋ฌผ๋กœ ์ด๋ฃจ์–ด์ง„ ํ•ฉ์„ฑ๋ฌผ์— ๋Œ€ํ•ด์„œ ๋ชจ๋ธ๋งํ•œ๋‹ค. ๋‹ค๊ณต์„ฑ, ๊ท ์—ด์˜ ๊ธฐํ•˜ํ•™์  ๊ตฌ์กฐ, ๊ท ์—ด ๋‚ด์˜ ์œ ์ฒด ์ข…๋ฅ˜์™€ ๊ฐ™์€ ์•”์„ ๋ฏธ์„ธ๊ตฌ์กฐ๋ฅผ ํฌํ•จ๋ฌผ์˜ ํŠน์„ฑ์œผ๋กœ ๊ณ ๋ คํ•˜์—ฌ ๋ชจ๋ธ๋ง์— ํฌํ•จ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. Gassmann์˜ ๋‹ค๊ณต์„ฑ-ํƒ„์„ฑ ๊ด€๊ณ„ ์ด๋ก ์„ DEM ๊ณผ ๊ฒฐํ•ฉํ•˜์—ฌ ์œ ์ฒด-ํฌํ™”์ƒํƒœ์˜ ์•”์„์— ๋Œ€ํ•œ ํƒ„์„ฑ ํŠน์„ฑ์„ ๊ณ„์‚ฐํ•  ์ˆ˜ ์žˆ๊ณ , ๊ฐ์‡„ ๋˜ํ•œ ์‚ฐ์ถœํ•  ์ˆ˜ ์žˆ๋‹ค. ์•”์„์˜ ํƒ„์„ฑ ํŠน์„ฑ์„ ์˜ˆ์ธกํ•˜๋Š” ๋ฐฉ๋ฒ•๊ณผ ๊ด€๋ จํ•˜์—ฌ ์ž๊ฐ€-๋ถ€ํ•ฉ์  ๊ทผ์‚ฌ๋ฒ• (self-consistent approximation; SCA) ๋˜ํ•œ ๋งŽ์ด ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š” EMT ์ค‘ ํ•˜๋‚˜์ด๋‹ค. SCA๋Š” ๋‹ค๊ฒฐ์ • ์•”์„๊ณผ ๊ฐ™์ด ๋ณต์ˆ˜์˜ ๊ตฌ์„ฑ์„ฑ๋ถ„์œผ๋กœ ์ด๋ฃจ์–ด์ง„ ํ•ฉ์„ฑ์ฒด์— ๋Œ€ํ•œ ๋ชจ๋ธ๋ง์— ์‚ฌ์šฉ๋œ๋‹ค. ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ๋Š” SCA ๋ชจ๋ธ๋ง์„ ์œ„ํ•œMATLAB ์†Œํ”„ํŠธ์›จ์–ด AnisEulerSC (Anisotropy from Euler angles using self-consistent approximation) ๋ฅผ ์ œ์‹œํ•˜๊ณ  ๋ช‡ ๊ฐ€์ง€ ์˜ˆ์‹œ์— ๋Œ€ํ•ด ์„ค๋ช…ํ•œ๋‹ค. SCA ๊ธฐ๋ฒ•์œผ๋กœ ๊ตฌ์„ฑ ๊ด‘๋ฌผ์˜ ๋ถ€ํ”ผ๋น„, ๊ฐ ๊ด‘๋ฌผ์˜ ๊ฒฉ์ž ์„ ํ˜ธ ๋ฐฉํ–ฅ, ๋‹จ๊ฒฐ์ • ํƒ„์„ฑ๋ ฅ ์ƒ์ˆ˜๋ฅผ ์ด์šฉํ•˜์—ฌ ์•”์„์˜ ๋น„๋“ฑ๋ฐฉ์  ํƒ„์„ฑ ํŠน์„ฑ์„ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ๋ชจ์–‘ ์„ ํ˜ธ ๋ฐฉํ–ฅ๊ณผ ๊ฐ™์€ ํŠน์„ฑ๋„ SCA ๋ชจ๋ธ๋ง์—์„œ๋Š” ๊ณ ๋ คํ•  ์ˆ˜ ์žˆ๋‹ค. ์—ฌ๋Ÿฌ๊ฐ€์ง€ SCA ๋ชจ๋ธ๋ง ์˜ˆ์‹œ๋“ค์€ ๋‹จ 2% ์˜ ๊ท ์—ด ๋‹ค๊ณต์„ฑ๋งŒ์œผ๋กœ๋„ ํƒ„์„ฑํŒŒ ๋น„๋“ฑ๋ฐฉ์„ฑ์ด ๋ณ€ํ™”ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ์†๋„ ๋ณ€ํ™” ๋ฐ ๋น„๋“ฑ๋ฐฉ์„ฑ์˜ ์ •๋„๋Š” ๊ท ์—ด ๋ชจ์–‘๊ณผ ์ •๋ ฌ ๋ฐฉํ–ฅ์— ์ขŒ์šฐ๋œ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค. DEM ๊ณผ SCA ๊ฐ€ ๋‹จ์ˆœ ํ‰๊ท  ๊ธฐ๋ฒ•๋“ค๋ณด๋‹ค ๋ณต์žกํ•œ ๋ฐฉ๋ฒ•์ด๊ธด ํ•˜์ง€๋งŒ, ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ ์ œ์‹œํ•œ ๋‘ ๊ฐœ์˜MATLAB ํ”„๋กœ๊ทธ๋žจ์ธ GassDem๊ณผ AnisEulerSC ๋Š” ๊ฐ๊ฐ DEM ๊ณผ SCA ๋ชจ๋ธ๋ง์„ ํ•  ๋•Œ ์†์‰ฝ๊ฒŒ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ํˆด์„ ์ œ๊ณตํ•จ์œผ๋กœ์จ ์ง€๊ฐ๊ณผ ๋งจํ‹€์˜ ์•”์„์˜ ํƒ„์„ฑ ํŠน์„ฑ์„ ๋ชจ๋ธ๋ง ํ•˜์—ฌ ํƒ„์„ฑํŒŒ ์†๋„ ๊ตฌ์กฐ๋ฅผ ํ•ด์„ํ•  ๋•Œ์— ์œ ์šฉํ•˜๊ฒŒ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค.Seismic tomography enhances knowledge of the Earths internal structure by imaging the seismic velocity structures. The interpretation of seismic velocities is based on the rock sample data from experimental measurements and the prediction of seismic properties from theoretical methods. A number of drilling programs have provided rock samples and in-situ data at depths in the continental and oceanic crust. However, the discrepancy in seismic velocities between rock sample data and seismic observation has been reported. As a result, the prediction of seismic properties based on theoretical approaches has been emphasized to understand what controls the seismic velocities in the crust and mantle. Rock physics theory has been used to interpret Poissons anomaly observed in the young oceanic crust, because it predicts that the distribution and aspect ratios of cracks have strong effects on Poissons ratio. In addition, it is emphasized that knowledge of both P and S wave velocities is useful to infer the characteristic and distribution of cracks. This dissertation presents the seismic tomographic results of three-dimensional velocity structure of the upper oceanic crust at the Endeavour segment of the Juan de Fuca Ridge and the interpretation of seismic velocities using the effective medium theory. For seismic velocity structure at the Endeavour segment, P and S waves refracted in the upper oceanic crust are analyzed using a joint inversion of P and S traveltimes collected from a seismic refraction experiment. Since the Endeavour segment is one of the most active and long-lived hydrothermal areas of the mid-ocean ridges, the fluid pathways for hydrothermal circulation may be well established. However, the permeability structure beneath this long-term venting system is not well known. To understand the active hydrothermal circulation beneath the Endeavour segment, P and S wave velocities are three-dimensionally imaged using seismic tomography and porosity and crack density are estimated applying the differential effective medium (DEM) theory to the observed seismic velocities. Based on the predicted models, low Vp/Vs on-axis and high Vp/Vs off-axis over 5 โ€“ 10 km at the Endeavour segment indicate that the proportion of thick versus thin cracks decreases from the ridge axis to the flanks. The dominant presence of thick cracks on the ridge axis may provide long-term conduits for upflow in hydrothermal circulation. The increased proportion of thin cracks on the ridge flanks indicates that the permeability decreases by progressive clogging of thick cracks due to mineral precipitation in the downflow zone of hydrothermal circulation. DEM is one of the effective medium theory (EMT) for modeling the seismic velocity and anisotropy of rocks. In this dissertation, a MATLAB program of GassDem (Gassmann Differential effective medium) and a description for users to replicate the examples are presented. This software can be used to model the anisotropic seismic properties from rock microstructure based on the DEM and Gassmanns (1951) poroelastic relationship. DEM models a two-phase composite that consists of a background medium and inclusions. The rock microstructures, such as porosity, crack geometry, and fluid type in the cracks, are taken into account to be inclusion properties in the DEM modeling. Since the Gassmanns poroelastic relationship combined with DEM calculates the elastic stiffness for fluid-saturated rocks, the attenuation can be also estimated. The self-consistent (SC) approximation is also one of the most popularized methods of EMT. The SC approximation has been used for multi-phase composites such as polycrystalline rocks. In this dissertation, a MATLAB-based software of AnisEulerSC (Anisotropy from Euler angles using self-consistent approximation) and descriptions of several examples are presented. In this method, the shape preferred orientation can be taken into account, because the shape and distribution of components are parameterized in the formulation of SC modeling. Several examples show that only 2% crack porosity is enough to change the seismic anisotropy, although seismic velocities and their degree of anisotropy depend on the shape and orientation of cracks. The main objective of this dissertation is to present that the seismic velocities of the crust and mantle imaged using the seismic tomography can be interpreted based on the predicted seismic properties from the effective medium theory such as DEM and SC methods. Although DEM and SC methods are more complex than the simple averaging methods, two MATLAB-based programs of GassDem and AnisEulerSC provide easy tools for predicting the elastic properties of crustal and mantle rocks based on the DEM and SC methods.Chapter 1. Introduction 1 References 7 Chapter 2. Upper crustal Vp/Vs ratios at the Endeavour segment, Juan de Fuca Ridge, from joint inversion of P and S travel times: Implications for hydrothermal circulation 12 Abstract 12 2.1. Introduction 13 2.2. Geologic Setting 16 2.3. Data and Methods 19 2.3.1. ETOMO Experiment 19 2.3.2. Sg Travel Time Dataset 20 2.3.3. Tomographic Method 23 2.3.4. Differential Effective Medium theory 27 2.4. Tomographic Analysis 32 2.4.1. Starting Model and Vp/Vs Coupling 32 2.4.2. Tomographic Resolution 33 2.4.3. Tomographic Results 35 2.5. Discussion 42 2.5.1. Comparison with an Earlier 1-D Inversion Model 42 2.5.2. Lateral Heterogeneity of Vp/Vs Ratios and Cracks 43 2.5.3. Across-axis Model of Crack Distribution within Layer 2B 44 2.5.4. Crack Geometry and Seafloor Spreading, Hydrothermal Circulation and Tectonics 47 2.5.5. Evolution of Crack Distributions and Hydrothermal Circulation 50 2.6. Conclusions 52 Appendix 53 2A-1. Supporting Information 53 2A-2. Additional Figures 58 References 66 Chapter 3. GassDem: A MATLAB program for modeling the anisotropic seismic properties of porous medium using differential effective medium theory and Gassmanns poroelastic relationship 79 Abstract 79 3.1. Introduction 80 3.2. Microstructure and seismic properties 81 3.2.1. Pressure and seismic velocity 81 3.2.2. Effect of crack alignment on seismic anisotropy 82 3.2.3. Prediction of seismic properties for in-situ state 83 3.3. Modeling schemes 84 3.3.1. Eshelbys (1957) solution 84 3.3.2. Self-consistent (SC) scheme 85 3.3.3. Differential effective medium (DEM) theory 86 3.3.4. Gassmanns (1951) poroelastic relationship 88 3.3.5. Attenuation 89 3.4. Examples 89 3.4.1. Background medium 90 3.4.2. Inclusion 90 3.4.3. GassDem GUI 91 3.4.4. DEM results 95 3.5. Discussion 98 3.5.1. Improvements in computing for GassDem 98 3.5.2. Kelvin tensor notation 100 3.5.3. Tensor Greens function Fourier integral 101 3.6. Summary 106 Appendix 106 3A-1. User manual for GassDem GUI 106 References 116 Chapter 4. AnisEulerSC: A MATLAB program combined with MTEX for modeling the anisotropic seismic properties of a polycrystalline aggregate with microcracks using self-consistent approximation 123 Abstract 123 4.1. Introduction 123 4.2. Theories 126 4.2.1. Simple averages for effective elastic properties of polycrystals 126 4.2.2. Self-consistent (SC) approximation 128 4.2.3. Christoffel equation 130 4.3. AnisEulerSC 130 4.4. Examples 134 4.4.1. Single-crystal elastic stiffness tensor 135 4.4.1.1. Crystal reference frame 135 4.4.1.2. Crystal orientations 136 4.4.2. Anisotropic properties of polycrystalline materials 138 4.4.2.1. SC modeling for a polyphase aggregate 138 4.4.2.2. SC modeling for cracked materials 147 4.5. Discussion 153 4.5.1. Comparison of SC aggregates with simple averages 153 4.5.2. Effect of grain shape on anisotropic elastic properties of aggregates 158 4.5.3. Effect of cracks on the anisotropic properties of a polyphase aggregate 160 4.5.4. Combination of SC approximation and various methods 161 4.6. Conclusions 163 Appendix 164 4A-1. User Guide for AnisEulerSC 164 References 190 Chapter 5. Application of effective medium theory to the crustal and upper mantle structure of the Rainbow area, Mid-Atlantic Ridge 198 5.1. Motivation 198 5.2. Seismic tomographic results beneath the Rainbow massif 203 5.3. Effect of serpentinization on seismic wave velocity and anisotropy 205 5.4. Modeling for ultramafic rocks at the Rainbow massif 209 References 210 Appendix. Publication list 213 5A-1. Journal Articles 213 5A-2. Conference Abstracts 213 ์š”์•ฝ (๊ตญ๋ฌธ์ดˆ๋ก) 218Docto

    Presence of mEGFR ctDNA predicts a poor clinical outcome in lung adenocarcinoma

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    BACKGROUND: Circulating tumor DNA (ctDNA) is a biomarker for the selection of target agents in various malignancies. In this study, we examined the effect of ctDNA presence on the response to EGFR-tyrosine kinase inhibitor (TKI) and on the prognosis in lung adenocarcinoma. METHODS: ctDNA of EGFR-TKI sensitizing mutations (mEGFR), L858R substitution and Exon 19 deletion (E19d) mutation, was evaluated using droplet digital PCR (ddPCR) in 81 patients with lung adenocarcinoma which harbored mEGFR in the corresponding tumor tissues. RESULTS: The study recruited lung cancer patients at various stages, and the sensitivity, specificity, and area under the curve (AUC) of mEGFR ctDNA detection by ddPCR were 40.0%, 88.5%, and 0.68, respectively. It showed higher sensitivity (75.0% vs. 10.0%) and AUC (0.83 vs. 0.49) in the advanced stages of lung adenocarcinoma compared with the early stages and the number of metastases and the fractional abundance of mEGFR ctDNA showed a strong correlation (ฯƒ = 0.516; Pโ€‰<โ€‰0.001, Spearman correlation test). There was a significantly shorter progression-free survival and duration of disease control by EGFR-TKIs in the ctDNA-positive group than the negative group (14.0 vs. 41.0โ€‰months, P = 0.02 and 12.0 vs. 23.0โ€‰months, P = 0.02, log-rank test, respectively). There was a trend for overall survival time to be shorter in patients with mEGFR ctDNA than for patients without mEGFR ctDNA (35.6 vs. 67.1โ€‰months, P = 0.06, log-rank test). CONCLUSIONS: These data showed that mEGFR ctDNA detection using ddPCR is useful in the advanced stages and its presence predicted distant metastasis and poor clinical outcome in lung adenocarcinoma.ope

    ๋ฃจ์‰ฐ์€ ์™œ ํ—ˆ๊ตฌ์  ๊ธ€์“ฐ๊ธฐ๋ฅผ ๊ทธ๋งŒ๋‘์—ˆ๋Š”๊ฐ€? : ใ€Œ๋ณต์„ ๋น„๋Š” ์ œ์‚ฌใ€ ๊ทธ๋ฆฌ๊ณ  ์„œ์‚ฌ์™€ ๊ณต๊ฐ์˜ ์‹คํŒจ

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    ๋ฃจ์‰ฐ์ด ์†Œ์œ„ ํ™˜๋“ฑ๊ธฐ ์‚ฌ๊ฑด ์ดํ›„ ์˜ํ•™ ๊ณต๋ถ€๋ฅผ ํฌ๊ธฐํ•˜๊ณ  ๋ฌธํ•™์˜ ๊ธธ๋กœ ์ ‘์–ด๋“  ๊ฒƒ์€ ์ž˜ ์•Œ๋ ค์ง„ ์‚ฌ์‹ค์ด๋‹ค. ๊ทธ๋Ÿฌํ•œ ์„ ํƒ์„ ๋‚ด๋ฆฐ ์ด์œ ์— ๋Œ€ํ•ด, ๋ฃจ์‰ฐ์€ ใ€Ž๋‚ฉํ•จ(ๅถๅ–Š)ใ€ ์„œ๋ฌธ์—์„œ ์Šค์Šค๋กœ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ๋งํ•˜๊ณ  ์žˆ๋‹ค. ์šฐ๋ฆฌ๋“ค์˜ ์ฒซ ๋ฒˆ์งธ ์ค‘์š”ํ•œ ์ผ์€ ๊ทธ๋“ค[์ค‘๊ตญ์ธ]์˜ ์ •์‹ ์„ ๊ณ ์น˜๋Š” ๋ฐ ์žˆ๋‹ค. ๋‹น์‹œ ๋‚˜๋Š” ์ •์‹ ์„ ๊ณ ์น˜๋Š” ๋ฐ ์žˆ์–ด ์ตœ์„ ์œผ๋กœ ๋‹น์—ฐํžˆ ๋ฌธ์˜ˆ๋ฅผ ๋“ค์–ด์•ผ ํ•œ๋‹ค๊ณ  ์—ฌ๊ฒผ๋‹ค.(๋ฃจ์‰ฐ, 2008: 12) ์•„๋ฌด๋Ÿฐ ๋™์ •์‹ฌ๋„ ๋Š๋ผ์ง€ ๋ชปํ•œ ์ฑ„ ์ผ๋ณธ๊ตฐ์—๊ฒŒ ์ฒ˜ํ˜•๋‹นํ•˜๋Š” ๋™ํฌ์˜ ๋ชจ์Šต์„ ๊ทธ์ € ๊ตฌ๊ฒฝ์‚ผ์•„ ์ง€์ผœ๋ณด๋˜ ๋ฌด๊ฐ๊ฐํ•œ ์ค‘๊ตญ์ธ๋“ค์—๊ฒŒ ๋ฃจ์‰ฐ์ด ๊นŠ์€ ์‹ค๋ง๊ฐ์„ ๋Š๊ผˆ์Œ์„ ์ƒ๊ฐํ•ด ๋ณผ ๋•Œ, ์ •์‹ ์„ ๊ณ ์น˜๋Š” ๊ฒƒ์€ ์•„๋งˆ๋„ ๊ฐ์„ฑ(aect)์˜ ์ฐจ์›์—์„œ ์ƒ์ƒ์˜ ๊ณต๋™์ฒด๋กœ์„œ์˜ ๊ตญ๊ฐ€๋ฅผ ๊ฑด์„คํ•˜๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•  ๊ฒƒ์ด๋ฉฐ, ๋งŒ์•ฝ ์ด๋Ÿฌํ•œ ๊ฐ€์ •์ด ์˜ณ๋‹ค๋ฉด, ๋ฌธํ•™, ํŠนํžˆ ํ—ˆ๊ตฌ์  ์žฅ๋ฅด๋กœ์„œ์˜ ์†Œ์„ค์€ ๋ฒ ๋„ค๋”•ํŠธ ์•ค๋”์Šจ์ด ใ€Ž์ƒ์ƒ์˜ ๊ณต๋™์ฒดใ€์—์„œ ์ฃผ์žฅํ–ˆ๋“ฏ์ด ๊ทผ๋Œ€์  ๋ฏผ์กฑ ๊ฑด์„ค์— ์žˆ์–ด ๊ฐ€์žฅ ํšจ๊ณผ์ ์ธ ์ˆ˜๋‹จ ๊ฐ€์šด๋ฐ ํ•˜๋‚˜์ผ์ง€๋„ ๋ชจ๋ฅธ๋‹ค

    Diagnostic value of the combined use of radial probe endobronchial ultrasound and transbronchial biopsy in lung cancer

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    Background: Although the use of radial endobronchial ultrasound (R-EBUS) with a guide sheath has shown improved diagnostic capability in peripheral pulmonary lesions, its utility is still low due to variable performance. To overcome its limitation, we evaluated the feasibility and efficacy of R-EBUS combined with transbronchial biopsy (TBB) under fluoroscopic guidance. Methods: We retrospectively reviewed medical records of 74 patients with non-small cell lung cancer (NSCLC) who underwent R-EBUS combined with TBB or TBB alone as a diagnostic technique. Subjects were grouped according to the diagnostic modality used (R-EBUS combined with TBB vs. TBB alone). Each group was matched for age, sex, and location of the biopsy. The chi-square test and paired t-test were used to compare characteristics and identify factors that affected the diagnostic yield. Results: The mean age of the study cohort was 67.4 ยฑ 12.8 years, with 21 (56.8%) men and 16 (43.2%) women in each group. The lesion size was significantly smaller in the R-EBUS group (23.6 vs. 33.9, P < 0.001). The diagnostic yield with the combined use of R-EBUS and TBB (27/37, 72.9%) was significantly higher than that with standard TBB alone (22/37, 59.4%). Lung lesions with a positive bronchus sign were associated with a higher diagnostic yield (odds ratio = 3.52 [1.17-10.62]; P = 0.025). Conclusions: The combination of R-EBUS with TBB resulted in a higher diagnostic yield than either technique alone. Thus, the addition of R-EBUS biopsy would be helpful to improve the diagnostic yield of TBB. Key points: SIGNIFICANT FINDINGS OF THE STUDY: The combination of R-EBUS with TBB under fluoroscopic guidance improved the diagnostic yield of PPLs compared to TBB alone. A tissue diagnosis was more likely in pulmonary lesions with the air-bronchus sign. What this study adds: The use of R-EBUS could help improve the low diagnostic yield of TBB under fluoroscopic guidance without increasing the incidence of complications.ope

    A national survey of lung cancer specialists' views on low-dose CT screening for lung cancer in Korea

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    Lung cancer specialists play an important role in designing and implementing lung cancer screening. We aimed to describe their 1) attitudes toward low-dose lung computed tomography (LDCT) screening, 2) current practices and experiences of LDCT screening and 3) attitudes and opinions towards national lung cancer screening program (NLCSP). We conducted a national web-based survey of pulmonologists, thoracic surgeons, medical oncologists, and radiological oncologists who are members of Korean Association for Lung Cancer (N = 183). Almost all respondents agreed that LDCT screening increases early detection (100%), improves survival (95.1%), and gives a good smoking cessation counseling opportunity (88.6%). Most were concerned about its high false positive results (79.8%) and the subsequent negative effects. Less than half were concerned about radiation hazard (37.2%). Overall, most (89.1%) believed that the benefits outweigh the risks and harms. Most (79.2%) stated that they proactively recommend LDCT screening to those who are eligible for the current guidelines, but the screening propensity varied considerably. The majority (77.6%) agreed with the idea of NLCSP and its beneficial effect, but had concerns about the quality control of CT devices (74.9%), quality assurance of radiologic interpretation (63.3%), poor access to LDCT (56.3%), and difficulties in selecting eligible population using self-report history (66.7%). Most (79.2%) thought that program need to be funded by a specialized fund rather than by the National Health Insurance. The opinions on the level of copayment for screening varied. Our findings would be an important source for health policy decision when considering for NLCSP in Korea.ope

    Specificity of surround interaction for global motion directionality in awake monkey V1

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‹ฌ๋ฆฌํ•™๊ณผ, 2014. 2. ์ด์ถ˜๊ธธ.Neurons of the primary visual cortex (V1) process visual information presented within the classical receptive field (cRF), and this local information is thought to be integrated with that outside the cRF to recover global visual features in later stages. However, it has been known that even in the V1, neuronal activity is modulated by stimuli outside the cRF. In line with this, it was reported that V1 neurons are modulated by temporal interval of spatiotemporal stimulus sequence extending beyond the cRF (Kim et al., 2012), suggesting that V1 neurons participate in processing stimulus motion extending beyond the cRF โ€“ global motion. In the current study, we tested the hypothesis that V1 neurons have directional preference for global motion extending beyond the cRF, and that this is based on fine-tuned surround interaction. Specifically, we measured global directional preference with a sequence of two focal stationary Gabor stimulithe preceding one (S1) presented outside the cRF and the following one (S2) presented inside the cRF with a stimulus onset asynchrony (SOA) of 50 or 100ms. The S1 stimulus appeared at either flanking sides of the cRF before the S2, thus making two directions of stimulus sequence. And this was compared with local directional preference that we measured with a Gabor stimulus confined within the cRF that drifted along two directions orthogonal to preferred orientation. Although the S1 alone did not evoke spiking responses, the response to the S2 was significantly modulated by the S1, consistent with the previous study (Kim et al., 2012). The magnitude of modulation was asymmetrical between the two sequence directions, indicating that the cells showed a direction preference for apparent motion consisting of S1 and S2 that extended beyond the cRF. There was a significant positive relationship between global and local directional preferences, suggesting that V1 neurons tend to prefer the global motion direction that matched with their local directional preference. This positive correlation was significant for SOA of 50ms, but not for 100ms. These results suggest that V1 neurons participate in processing global motion based on surround interaction that is fine tuned for spatial and temporal relations between center and surround stimuli.1. Introduction -------------------------------------------------------------------------------------1 2. Method -------------------------------------------------------------------------------------------5 2.1. Subjects ------------------------------------------------------------------------------------5 2.1.1. Surgical procedures -----------------------------------------------------------------5 2.1.2. Behavioral training: Fixation and saccade tasks --------------------------------6 2.1.3. Craniotomy and dura cleaning ----------------------------------------------------7 2.2. Experiment environment ----------------------------------------------------------------8 2.2.1. Computer system --------------------------------------------------------------------8 2.2.2. Stimuli ---------------------------------------------------------------------------------9 2.3. Measuring eye signal --------------------------------------------------------------------11 2.4. Measuring neural signal -----------------------------------------------------------------12 2.4.1. Electrophysiological procedures --------------------------------------------------12 2.4.2. Extracting Spikes -------------------------------------------------------------------13 2.4.3. Sorting Spikes -----------------------------------------------------------------------14 2.4.4. Confirming the single-unit classification ----------------------------------------16 2.4.5. Spike density function --------------------------------------------------------------17 2.4.6. Eliminating outliers -----------------------------------------------------------------18 2.5. Methods of data analysis ----------------------------------------------------------------23 2.5.1. Direction selectivity ----------------------------------------------------------------23 2.6. Experiment procedures ------------------------------------------------------------------25 2.6.1. Receptive field mapping -----------------------------------------------------------25 2.6.2. Main experiment --------------------------------------------------------------------27 3. Result ---------------------------------------------------------------------------------------------30 3.1. Data summary -----------------------------------------------------------------------------30 3.2. Classification of simple and complex cell ---------------------------------------------34 3.2.1. Criterion of Simple and complex cells ---------------------------------------------34 3.2.2. Response pattern to different spatial and temporal frequencies ----------------36 3.3. Local and global directionalities --------------------------------------------------------39 3.3.1. Representative cell implying positive relationship ------------------------------39 3.3.2. Representative cell showing the effect of surround is differed by the SOAs--44 3.3.3. Correlation analysis ------------------------------------------------------------------46 3.4. Surround modulation index -------------------------------------------------------------49 3.5. Speed of local and global motion -------------------------------------------------------50 3.6. Local directionality index measuring by F1 component -----------------------------52 3.7. Eccentricities and cortical distances of surround stimuli ----------------------------53 4. Discussion ----------------------------------------------------------------------------------------57 4.1. Global directionality ---------------------------------------------------------------------57 4.2. Sequential stimuli as a global motion stimulus ---------------------------------------58 4.3. Analysis period for calculating the mean response ----------------------------------59 4.4. Low proportion of simple cell & directional cell ------------------------------------59 4.5. Implications for motion processing ----------------------------------------------------60 References -------------------------------------------------------------------------------------------62 Abstract in Korean ---------------------------------------------------------------------------------68Maste

    Different mutational characteristics of the subsets of EGFR-tyrosine kinase inhibitor sensitizing mutation-positive lung adenocarcinoma

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    BACKGROUND: A subset of lung adenocarcinoma with EGFR-tyrosine kinase inhibitor sensitizing mutations (mEGFR) is common in non-smokers and women, suggesting that mutational stressors other than smoking are involved. METHODS: Targeted sequencing using a custom panel containing 70 cancer-related genes were performed from 73 cases of lung adenocarcinoma with mEGFR (study cohort). In parallel, publicly available data of 47 TCGA-LUAD cases with mEGFR (LUAD cohort) were extracted from the GDC data portal and analyzed by non-negative matrix factorization using the Maftools package. RESULTS: In the study cohort, the Cโ€‰>โ€‰A transversions accounted for 12.9% of all single nucleotide variations (SNVs), comprising the second smallest proportion among SNVs. The E19del-subgroup had a significantly lower mutational burden with significantly higher Ti/Tv ratio than the SNV-subgroup, which includes cases with L858R and other EGFR-TKI sensitizing SNVs. (Pโ€‰=โ€‰0.0326 and 0.0002, respectively, Mann-Whitney U test). In the LUAD cohort, the mutational burden was substantially lower than in other TCGA cancer cohorts, and the frequency of Cโ€‰>โ€‰A transversions was 30.3%, occupying the second frequency. The E19del-subgroup had a lower mutational burden overall and a higher Ti/Tv ratio than the SNV-subgroup (Pโ€‰=โ€‰0.0497 and Pโ€‰=โ€‰0.0055, respectively, Mann-Whitney U test). Smoking-related signature 4 was observed only in the L858R-subgroup, while ignature 30 and 5 was observed in both groups. CONCLUSIONS: Lung adenocarcinoma with mEGFR(+) has a lower mutational burden and does not show a characteristic mutation pattern influenced by smoking. E19del and L858R, which are representative subtypes of mEGFR(+) lung adenocarcinoma, differ in terms of mutational spectrum, as the E19del-subgroup has a lower mutation burden and a higher Ti/Tv ratio than the SNV-subgroup. These findings could help explain the differences in the responses to EGFR-TKIs and in the clinical courses between the two lung adenocarcinoma subgroups.ope

    A phase II, multicenter study of lazertinib as consolidation therapy in patients with locally advanced, unresectable, EGFR mutation-positive non-small cell lung cancer (stage III) who have not progressed following definitive, platinum-based, chemoradiation therapy (PLATINUM trial)

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    Introduction: The PACIFIC study demonstrated that durvalumab consolidation therapy significantly improved progression-free survival (PFS) and overall survival (OS) in patients with unresectable stage III non-small cell lung cancer (NSCLC) after concurrent chemoradiotherapy (CCRT). However, there was no clinical benefit in both PFS and OS in epidermal growth factor receptor (EGFR) mutation-positive patient groups in a post hoc exploratory analysis. Moreover, the clinical effects of immune checkpoint inhibitors (ICIs) in EGFR mutation-positive stage IV NSCLC were demonstrated to be poor. Personalized treatment according to the mutation status is also required in stage III NSCLC. Lazertinib, a third-generation EGFR tyrosine kinase inhibitor (TKI), is newly developed and approved for use in Korea. Methods: This prospective, open, single-arm, multicenter, phase II clinical trial aims to evaluate the efficacy and safety of lazertinib as a consolidative therapy after CCRT treatment in unresectable, EGFR mutation-positive NSCLC stage III patients. The primary endpoint of this study is PFS, and the secondary endpoints are OS, objective response rate (ORR), duration of response (DoR), time to death or distant metastasis (TTDM), and safety profiles. Discussion: Our study may extend the indications for third-generation EGFR-TKIs to treat patients with stage III NSCLC. Moreover, using this drug to treat stage III NSCLC would emphasize the value of mutation analysis and personalized medicine. Trial registration: ClinicalTrials.gov NCT05338619.ope

    Real-World Study of Osimertinib in Korean Patients with Epidermal Growth Factor Receptor T790M Mutation-Positive Non-Small Cell Lung Cancer

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    Purpose: Although osimertinib is the standard-of-care treatment of epidermal growth factor receptor (EGFR) T790M mutation-positive non-small cell lung cancer, real-world evidence on the efficacy of osimertinib is not enough to reflect the complexity of the entire course of treatment. Herein, we report on the use of osimertinib in patients with EGFR T790M mutation-positive non-small cell lung cancer who had previously received EGFR tyrosine kinase inhibitor (TKI) treatment in Korea. Materials and methods: Patients with confirmed EGFR T790M after disease progression of prior EGFR-TKI were enrolled and administered osimertinib 80 mg daily. The primary effectiveness outcome was progression-free survival, with time-to-treatment discontinuation, treatment and adverse effects leading to treatment discontinuation, and overall survival being the secondary endpoints. Results: A total of 558 individuals were enrolled, and 55.2% had investigator-assessed responses. The median progression-free survival was 14.2 months (95% confidence interval [CI], 13.0 to 16.4), and the median time-to-treatment discontinuation was 15.0 months (95% CI, 14.1 to 15.9). The median overall survival was 36.7 months (95% CI, 30.9 to not reached). The benefit with osimertinib was consistent regardless of the age, sex, smoking history, and primary EGFR mutation subtype. However, hepatic metastases at the time of diagnosis, the presence of plasma EGFR T790M, and the shorter duration of prior EGFR-TKI treatment were poor predictors of osimertinib treatment. Ten patients (1.8%), including three with pneumonitis, had to discontinue osimertinib due to severe adverse effects. Conclusion: Osimertinib demonstrated its clinical effectiveness and survival benefit for EGFR T790M mutation-positive in Korean patients with no new safety signals.ope
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