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    ๋ถ๊ทน ํ•ด๋น™ ๋ณ€ํ™” ๋ฐ ๋ถ๋ฐ˜๊ตฌ ๋Œ€๋ฅ˜๊ถŒ๊ณ„๋ฉด ๋ณ€๋™์„ฑ๊ณผ ๊ด€๋ จ๋œ ์„ฑ์ธต๊ถŒ-๋Œ€๋ฅ˜๊ถŒ ์ปคํ”Œ๋ง์˜ ๊ณ„์ ˆ๋‚ด ์ง„ํ™” ํŠน์„ฑ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ์ง€๊ตฌํ™˜๊ฒฝ๊ณผํ•™๋ถ€, 2021.8. ๊น€์ง„์ฃผ.Variations in stratospheric polar vortex and associated stratosphere-troposphere interaction during boreal winter play an important role in the subseasonal prediction of tropospheric weather. In order to better understand stratosphere-troposphere interaction, this study scrutinizes intraseasonal evolutionary characteristics of stratospheric polar vortex fluctuations in terms of two different physical variables: sea ice and tropopause. The leading two modes of winter Arctic sea ice cover variability and their linkage to stratospheric polar vortex variations are analyzed. The first mode represents an accelerating trend of Arctic sea ice decline associated with Arctic amplification, particularly in the Barents and Kara Seas. The second mode is associated with decadal-scale phase shifts of dipole sea ice anomalies in the North Atlantic caused by NAO circulation. The first two modes of sea ice variability represent respectively a forced climate change and internal variability. Sea ice reduction in the Barents and Kara Seas for the first mode is linked to a stratospheric vortex weakening during mid Januaryโ€“late February. The second mode with the dipole structure of positive sea ice anomalies in the Barents and Greenland Seas and negative anomalies in the Hudson Bay and Labrador Sea is related to a stratospheric vortex weakening during Decemberโ€“early February. The spatial evolutionary structure of anomalous polar vortex also exhibits differences between the two modes. When stratospheric anomalies are fully developed, stratospheric vortex is shifted to Eurasia in the first mode and to Europe in the second mode. These two sea ice modes with different low-frequency variations partly contribute to a long-term mean change in subseasonal evolution of stratospheric polar vortex. To identify general evolutionary characteristics in stratosphere-troposphere coupling, the leading modes of Northern Hemisphere tropopause variability for Novemberโ€“April and the associated stratosphere-troposphere variability were analyzed. The first two modes feature the intraseasonal evolution of tropopause pressure anomalies over the Arctic, which respond directly to stratospheric temperature fluctuations in association with stratospheric polar vortex variations. These two modes reflect the link between stratospheric polar vortex strength and high-latitude tropospheric circulation. The first mode represents a single-phase fluctuation of the stratospheric polar vortex from winter to early spring. The second mode describes a two-phase fluctuation of the stratospheric vortex with opposite signs in winter and in spring. Tropopause pressure anomalies near the mid-latitude tropospheric jet regions exhibit significant zonal variation. In the first mode, in particular, these mid-latitude tropopause anomalies are linked to asymmetric jet variations in the Atlantic and the Pacific regions. In regard to the Northern Annular mode, distinct vertical evolution structures of the two modes are practically related to the interannually varying structure of extreme vortex events with relatively long persistence. The results can help to improve the seasonal predictability of the Arctic climate by better understanding the evolutionary structure and potential timing of individual vortex events.๋ถ๋ฐ˜๊ตฌ ๊ฒจ์šธ์ฒ ์˜ ์„ฑ์ธต๊ถŒ ๊ทน์†Œ์šฉ๋Œ์ด ๋ณ€๋™ ๋ฐ ๊ด€๋ จ ์„ฑ์ธต๊ถŒ-๋Œ€๋ฅ˜๊ถŒ ์ƒํ˜ธ์ž‘์šฉ์€ ๋Œ€๋ฅ˜๊ถŒ ๋‚ ์”จ์˜ ๊ณ„์ ˆ๋‚ด ์˜ˆ์ธก์— ์žˆ์–ด์„œ ์ค‘์š”ํ•œ ์š”์†Œ๋“ค์ด๋‹ค. ์„ฑ์ธต๊ถŒ-๋Œ€๋ฅ˜๊ถŒ ์ƒํ˜ธ์ž‘์šฉ์— ๋Œ€ํ•ด ์ข€ ๋” ์ •ํ™•ํ•˜๊ฒŒ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•˜์—ฌ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ•ด๋น™ ๋ฐ ๋Œ€๋ฅ˜๊ถŒ๊ณ„๋ฉด ๋ณ€๋™๊ณผ ๊ด€๋ จํ•ด ์„ฑ์ธต๊ถŒ ๊ทน์†Œ์šฉ๋Œ์ด ๋ณ€๋™์˜ ๊ณ„์ ˆ๋‚ด ์ง„ํ™” ํŠน์„ฑ์„ ๋ฉด๋ฐ€ํžˆ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๋จผ์ €, ์„ฑ์ธต๊ถŒ ๊ทน์†Œ์šฉ๋Œ์ด ๋ณ€๋™์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ ์ค‘ ํ•˜๋‚˜์ธ ํ•ด๋น™ ๋ณ€๋™์˜ ์ฃผ์š” ๋ชจ๋“œ๊ฐ€, ๋ถ๊ทน ์˜จ๋‚œํ™” ์ฆํญ๊ณผ ๊ด€๋ จ๋œ ๋ถ๊ทน ํ•ด๋น™ ๊ฐ์†Œ ์‹œ๊ทธ๋„๊ณผ ๋ถ๋Œ€์„œ์–‘ ์ง„๋™๊ณผ ๊ด€๋ จ๋œ ๋ถ๋Œ€์„œ์–‘ ์Œ๊ทน ํ•ด๋น™ ๋ณ€๋™ ์‹œ๊ทธ๋„์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋Š” ๋ฐ”๋ Œ์ธ -์นด๋ผํ•ด ํ•ด๋น™ ๊ฐ์†Œ์˜ ๊ฐ€์†ํ™” ์‹œ๊ทธ๋„๊ณผ ๋ž˜๋ธŒ๋ผ๋„ํ•ด ํ•ด๋น™์˜ ์‹ญ๋…„๊ทœ๋ชจ ์œ„์ƒ ๊ฐ์†Œ ์‹œ๊ทธ๋„์„ ๋ฐ˜์˜ํ•˜๋ฉฐ, ๋‘ ํ•ด๋น™ ๋ณ€๋™ ๊ณผ์ • ๋ชจ๋‘ ๊ฒจ์šธ์ฒ  ์„ฑ์ธต๊ถŒ ์†Œ์šฉ๋Œ์ด ์•ฝํ™”๋ฅผ ๋™๋ฐ˜ํ•œ๋‹ค. ํ•˜์ง€๋งŒ ํ•ด๋น™ ๋ณ€๋™ ๋ชจ๋“œ์— ๋”ฐ๋ผ ์„ฑ์ธต๊ถŒ ๊ทน์†Œ์šฉ๋Œ์ด ์•ฝํ™”์˜ ๋ฐœ์ƒ์‹œ๊ธฐ์™€ ์†Œ์šฉ๋Œ์ด์˜ ์œ„์น˜ ํ˜น์€ ํ˜•ํƒœ ๋ณ€ํ™”๋Š” ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ฒซ๋ฒˆ์งธ ๋ชจ๋“œ์—์„œ๋Š” ๋ฐ”๋ Œ์ธ -์นด๋ผํ•ด์˜ ํ•ด๋น™ ๊ฐ์†Œ์™€ ํ•จ๊ป˜ 1์›” ์ค‘์ˆœ์—์„œ 2์›” ๋ง ๋™์•ˆ์— ์†Œ์šฉ๋Œ์ด ์•ฝํ™”๊ฐ€, ๋‘ ๋ฒˆ์งธ ๋ชจ๋“œ์—์„œ๋Š” ๋ฐ”๋ Œ์ธ -๊ทธ๋ฆฐ๋ž€๋“œํ•ด ํ•ด๋น™ ์ฆ๊ฐ€ ๋ฐ ๋ž˜๋ธŒ๋ผ๋„ํ•ด-ํ—ˆ๋“œ์Šจ๋งŒ์˜ ํ•ด๋น™ ๊ฐ์†Œ์™€ ํ•จ๊ป˜ 12์›”์—์„œ 2์›”์ดˆ๊นŒ์ง€ ์†Œ์šฉ๋Œ์ด ์•ฝํ™”๊ฐ€ ๋™๋ฐ˜๋œ๋‹ค. ์ง€์—ญ์  ๋ณ€๋™ ๊ด€์ ์—์„œ๋Š”, ์†Œ์šฉ๋Œ์ด ์•ฝํ™” ํŽธ์ฐจ๊ฐ€ ๊ฐ€์žฅ ๋ฐœ๋‹ฌ ํ–ˆ์„ ๋•Œ์— ์„ฑ์ธต๊ถŒ ์†Œ์šฉ๋Œ์ด๊ฐ€ ์ฒซ๋ฒˆ์งธ ๋ชจ๋“œ์—์„œ ์œ ๋ผ์‹œ์•„์ชฝ์œผ๋กœ ์ด๋™ํ•˜๊ณ , ๋‘ ๋ฒˆ์งธ ๋ชจ๋“œ์—์„œ ์œ ๋Ÿฝ์ชฝ์œผ๋กœ ๊ตญํ•œ๋˜์–ด ์ด๋™ํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋‘ ๊ฐœ ํ•ด๋น™ ๋ชจ๋“œ์˜ ๋‹ค๋ฅธ ์žฅ์ฃผ๊ธฐ ๋ณ€๋™์ด ๊ฒจ์šธ์ฒ  ์„ฑ์ธต๊ถŒ ๊ทน์†Œ์šฉ๋Œ์ด ์ง„ํ™”์˜ ์žฅ๊ธฐ ํ‰๊ท  ๋ณ€ํ™”์— ๊ธฐ์—ฌํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํ•œํŽธ, ์ด๋Ÿฐ ํŠน์ • ๋Œ€๋ฅ˜๊ถŒ ์š”์ธ์— ๊ด€๋ จ๋œ ์„ฑ์ธต๊ถŒ ์†Œ์šฉ๋Œ์ด ๋ณ€๋™๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์„ฑ์ธต๊ถŒ ์†Œ์šฉ๋Œ์ด์˜ ๋ณดํŽธ์ ์ธ ๊ณ„์ ˆ๋‚ด ์ง„ํ™” ํŠน์„ฑ ๋˜ํ•œ ๋ช…ํ™•ํ•˜๊ฒŒ ์ดํ•ด๋˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์„ฑ์ธต๊ถŒ๊ณผ ๋Œ€๋ฅ˜๊ถŒ ์‚ฌ์ด์˜ ๊ฒฝ๊ณ„๋ฉด์— ํ•ด๋‹นํ•˜๋Š” ๋Œ€๋ฅ˜๊ถŒ๊ณ„๋ฉด ๋ณ€๋™์˜ ์ฃผ์š” ๋ชจ๋“œ์™€ ๊ด€๋ จํ•ด 11์›”~4์›” ๊ธฐ๊ฐ„ ๋™์•ˆ์˜ ์„ฑ์ธต๊ถŒ-๋Œ€๋ฅ˜๊ถŒ ์—ฐ์ง ๋ณ€๋™ ํŠน์„ฑ์— ๋Œ€ํ•ด ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ๋Š” ์ฃผ์š” ๋Œ€๋ฅ˜๊ถŒ๊ณ„๋ฉด ๋ณ€๋™์ด ์„ฑ์ธต๊ถŒ ๊ทน์†Œ์šฉ๋Œ์ด์˜ ๊ฒจ์šธ์ฒ -์ด๋ฅธ ๋ด„์ฒ  ๋™์•ˆ ์ง€์†๋˜๋Š” ๋‹จ์ผ ์œ„์ƒ ๋ณ€๋™๊ณผ ๊ฒจ์šธ์ฒ -๋ด„์ฒ ์— ๋ฐ˜๋Œ€๋˜๋Š” 2๊ฐœ ์œ„์ƒ ๋ณ€๋™์˜ ์ง์ ‘์  ์˜ํ–ฅ์„ ๋ฐ›์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋™์„œํ‰๊ท ์žฅ ๊ด€์ ์—์„œ๋Š” ๋‘ ๋ชจ๋“œ ๋ชจ๋‘์—์„œ ์„ฑ์ธต๊ถŒ ์†Œ์šฉ๋Œ์ด์™€ ๋Œ€๋ฅ˜๊ถŒ ๊ณ ์œ„๋„ ์ˆœํ™˜์žฅ์˜ ์ผ๊ด€๋œ ์ง„ํ™” ์–‘์ƒ์ด ํŠน์ง•์ ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•˜์ง€๋งŒ, ์ง€์—ญ์  ๊ด€์ ์—์„œ๋Š” ์„ฑ์ธต๊ถŒ ์†Œ์šฉ๋Œ์ด์™€ ๋Œ€๋ฅ˜๊ถŒ ์ œํŠธ ๋ณ€๋™ ์‚ฌ์ด์— ๋น„๋Œ€์นญ์  ๊ด€๊ณ„๊ฐ€ ์กด์žฌํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํŠนํžˆ ์ฒซ๋ฒˆ์งธ ๋ชจ๋“œ์—์„œ๋Š” 2-3์›”์— ์„ฑ์ธต๊ถŒ ๊ทน์†Œ์šฉ๋Œ์ด ์•ฝํ™”์™€ ํ•จ๊ป˜ ๋Œ€์„œ์–‘ ์ œํŠธ์ถ•์€ ์ ๋„์ชฝ์œผ๋กœ ์ด๋™ํ•˜์ง€๋งŒ ํƒœํ‰์–‘ ์ œํŠธ์ถ•์€ ๊ทน์ชฝ์œผ๋กœ ์ด๋™ํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Œ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๋˜ํ•œ ์„ฑ์ธต๊ถŒ ๊ทน์†Œ์šฉ๋Œ์ด ๊ฐœ๋ณ„ ์ด๋ฒคํŠธ๋“ค์˜ ๋ฐœ๋‹ฌ ๊ตฌ์กฐ ๋ฐ ๋ฐœ๋‹ฌ ์‹œ๊ธฐ๊ฐ€ ํ•ด๋งˆ๋‹ค ๋ณ€๋™ํ•˜๋Š” ๊ฒƒ์ด ๋‘ ๋Œ€๋ฅ˜๊ถŒ๊ณ„๋ฉด ๋ชจ๋“œ์˜ ๋ณ€๋™์— ์˜์กดํ•˜๊ณ  ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ๋Š” ์„ฑ์ธต๊ถŒ-๋Œ€๋ฅ˜๊ถŒ ์—ฐ์ง ๋ณ€๋™์˜ ์ฃผ์š” ๋ฐœ๋‹ฌ ํŠน์„ฑ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ฐœ๋ณ„ ํŠน์„ฑ์— ๋Œ€ํ•œ ์‹ฌํ™”๋œ ์ดํ•ด๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•จ์œผ๋กœ์จ, ๋‚ ์”จ์˜ ๊ณ„์ ˆ๋‚ด ์˜ˆ์ธก์„ฑ ํ–ฅ์ƒ์— ๋„์›€์„ ์ค„ ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋œ๋‹ค.Chapter 1. Introduction 1 1.1. Background and motivation 1 1.2. Objectives 6 Chapter 2. Data and Methodology 7 2.1. Data 7 2.2. Methodology 8 Chapter 3. Characteristics of stratospheric polar vortex fluctuations associated with sea ice variability in the Arctic winter 10 3.1. Leading modes of Arctic sea ice variability in winter 10 3.2. Variation of stratospheric polar vortex strength 16 3.3. Geometric characteristics of stratospheric anomalies during polar vortex weakening 23 3.4. Contribution to actual stratospheric vortex fluctuations 35 Chapter 4. Stratosphere-troposphere variability in connection with the leading modes of NH tropopause variability 39 4.1. Leading modes of NH tropopause pressure variation 39 4.2. Evolution in the Arctic stratosphere and troposphere and its linkage to the Arctic tropopause variability from a zonal mean perspective 49 4.3. Horizontal evolution patterns of the stratospheric and tropospheric circulation 60 4.4. Mid-latitude tropospheric jet fluctuation and its linkage to the tropopause undulation 68 4.5. Role of the two modes in actual stratospheric vortex fluctuations 73 Chapter 5. Concluding Remarks 81 References 85 ๊ตญ๋ฌธ์ดˆ๋ก 95๋ฐ•

    Atmospheric Circulation and Precipitation Fields over the tropical Indo-Pacific Region Associated with the Biennial Oscillation of Sea Surface Temperature

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ง€๊ตฌํ™˜๊ฒฝ๊ณผํ•™๋ถ€, 2015. 8. Kim, Kwang-Yul.Temporal and spatial patterns of atmospheric circulation and precipitation over Indo-Pacific region are analyzed in conjunction with the biennial mode of sea surface temperature anomalies (SSTA). It is investigated how the biennial mode modifies the Asian-Australian monsoon precipitation, which features the seasonal migration of precipitation band. In an attempt to document the impact of the biennial mode on the Asia-Australian monsoon precipitation, two-year cycle variability of SSTA and key atmospheric variables is separated from the seasonal cycle via Cyclostationary EOF (CSEOF) analysis. The monthly Extended Reconstruction SST version 3 (ERSST v.3) and the twentieth century reanalysis version 2 (20CR) are used. The biennial evolution of atmospheric variables is clearly seen over the central Indo-Pacific region (90ยฐ-150ยฐE, 20ยฐS-20ยฐN). In boreal summer, local meridional circulation is a distinguishing characteristic over the central Indo-Pacific region, whereas a north-south expanded branch of an intensified zonal circulation develops in austral summer. In boreal summer, low-level anticylonic/cyclonic circulation over the western North Pacific is linked with the northern branch of the local meridional circulation. Essential factors responsible for the distinctive atmospheric responses in the two seasons are the intensity and size of SSTA over the central-eastern Pacific and the different timings of the phase transition in the tropical Pacific and the Indian Ocean. The impact of the biennial mode is clearly different between the two seasons with substantially different impact on the Asian monsoon and the Australian monsoon.Abstract i Contents iii List of Figures iv 1. Introduction 1 2. Data and Method 2.1. Data 5 2.2. CSEOF analysis 5 2.3. Regression Analysis in CSEOF Space 6 3. Results and Discussion 3.1. The seasonal cycle of precipitation 8 3.2. The bidnnial mode of sea surface temperature 11 3.3. Temporal evolution of atmospheric circulation in the biennial mode 14 3.4. Change in moisture flux and precipitation in the biennial mode 20 3.5. Difference in the biennial reponse between the two hemispheres 28 4. Concluding remarks 35 References 41 ๊ตญ๋ฌธ์ดˆ๋ก 46Maste

    Synthesis and Characterization of Allyl Polysulfone Derivatives for Membrane Application and Polystyrene Sulfonate Derivatives for Draw Solute Application

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ™”ํ•™์ƒ๋ฌผ๊ณตํ•™๋ถ€, 2017. 2. ์ด์ข…์ฐฌ.This study presents synthesis and characterization of novel polymeric materials and their application to water treatment. Firstly, A series of ultrafiltration (UF) membranes based on polysulfone and mussel-inspired poly(dopamine methacrylamide) (PDMA) were prepared by a versatile in situ process composed of grafting-through polymerization and consecutive non-solvent induced phase separation. Nisin, a low molecular weight antimicrobial peptide, was subsequently immobilized on the surface of the UF membrane through the reaction between its N-terminal NH2 group and the catechol group in PDMA for microbial mitigation. The resulting nisin containing UF membranes showed outstanding fouling resistance and flux recovery ability due to the hydrophilic characteristics of PDMA moiety in the membrane. Furthermore, it is worth noting that the resulting membranes exhibit the antimicrobial activity against the Staphylococcus aureus (ATCC 6538) due to the nisin moiety. Second, thin film composite (TFC) polyamide membrane with tailored support structure was prepared for forward osmosis (FO) application. The porous polysulfone-based substrate was fabricated using the grafting-through polymerization of allyl polysulfone and dimethylaminoethyl methacrylate (DMAEMA), followed by non-solvent induced phase separation. 1,3,5-tricarbonyl trichloride and m-phenylene diamine were employed as the monomers for the interfacial polymerization to form a thin polyamide selective layer. poly(dimethylaminoethyl methacrylate) (PDMAEMA) moieties in the substrate was then convert into zwitterionic sulfobetaine moieties to impart fouling resistance. When the TFC membrane prepared in this study was tested in the FO system, a remarkably large water permeation flux value (~63.2 LMH) was observed with a small ratio of reverse solute flux to water permeation flux (Js/Jv) of < 0.02 g/L in the active layer against draw solution (AL-DS) mode using 2 M NaCl solution as a draw solution and DI water as a feed solution. Especially, the zwitterionic substrate in the TFC membrane exhibited fouling resistance against synthetic wastewater feed stream. Third, a series of oligomeric poly(tetrabutylphosphonium styrenesulfonate)s (PSSP#, where # is the number of monomer units in the oligomer) were prepared from tetrabutylphosphonium styrenesulfonate (SSP) as a monomer for application as a draw solute in a FO system. Although the water permeation flux values in the FO system using the oligomeric PSSP as a draw solute were slightly smaller than those using the monomeric SSP, the reverse solute flux values using the PSSPs were found to be much smaller than those using the SSP, indicating that the oligomers are more efficient draw solute materials in the FO system than the low molecular weight monomer. For example, when 20 wt% of the PSSP5 aqueous solution is used as the draw solution, the water permeation flux and reverse solute flux values are 14.50 LMH and 0.14 gMH, respectively, and when 20 wt% of the SSP aqueous solution is used, they are 16.28 LMH and 0.53 gMH, respectively. Since PSSPs have a lower critical solution temperature (LCST), the PSSP in water could be simply separated by heating to above the LCST without any other separation process. Moreover, it was found that the PSSPs have excellent bactericidal property above 99.9 % against Escherichia coli (ATCC 8739).1. Introduction 1 1.1. Polymers for membrane filtration 2 1.2. Draw solutes in forward osmosis 4 1.3. Motivation 7 1.4. References 9 2. Antifouling and Antimicrobial Membranes for Ultrafiltration (UF) Application 13 2.1. Introduction 14 2.2. Experimental 16 2.3. Results and Discussion 26 2.4. Conclusion 38 2.5. References 39 3. Thin Film Composite (TFC) Membranes for Forward Osmosis (FO) Application 67 3.1. Introduction 67 3.2. Experimental 69 3.3. Results and Discussion 77 3.4. Conclusion 83 3.5. References 84 4. Oligomeric Draw Solutes for FO Application 106 4.1. Introduction 107 4.2. Experimental 110 4.3. Results and Discussion 118 4.4. Conclusion 130 4.5. References 131 5. Abstract in Korean 160Docto

    A Comparative Study on the Competitiveness Improvement Strategies in Global and Korean Freight Forwarders

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    ์šฐ๋ฆฌ๋‚˜๋ผ ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…(Freight Forwarder) ๊ธฐ์—…๋“ค์€ 30๋…„ ์ด์ƒ ์ง€์†๋˜์–ด์˜จ์—…๊ณ„ ๊ทœ๋ชจ ํ™•์žฅ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ์˜์„ธํ•˜๊ณ  ์†Œ๊ทœ๋ชจ์ธ ์—…์ฒด๊ฐ€ ๋Œ€๋‹ค์ˆ˜์ธ ์ƒํ™ฉ์ด๋ฉฐ ์„ ์ง„๊ตญ์˜ ๋™์ผ ์—…๊ณ„์™€ ๋น„๊ตํ•˜์—ฌ ๋ณด์•˜์„ ๋•Œ ๊ทธ ๊ธฐ๋Šฅ๊ณผ ์—ญํ•  ๋ฐ ๊ทœ๋ชจ์™€ ์„œ๋น„์Šค ์ธก๋ฉด์—์„œ ๋‹ค์–‘ํ•œ ์ฐจ์ด์ ์„ ๋ณด์ด๊ณ  ์žˆ๋‹ค. ์ด ์‚ฌ์—…์„ ์˜์œ„ํ•˜๊ณ  ์žˆ๋Š” ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์ž(์ดํ•˜ ํฌ์›Œ๋”)๋ฅผ ์ž๋ณธํ˜•ํƒœ ๋ฐ ๊ตญ์ , ์‚ฌ์—…๊ตฌ์กฐ ๊ธฐ์ค€์œผ๋กœ ํฌ๊ฒŒ ์™ธ๊ตญ๊ณ„ ๊ธ€๋กœ๋ฒŒ ํฌ์›Œ๋”์™€ ๊ตญ๋‚ด ๋กœ์ปฌ ํฌ์›Œ๋”๋กœ ๊ตฌ๋ถ„ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ƒ๋ฐ˜๋œ ๋‘ ํฌ์›Œ๋”๋Š” ๊ตฌ์ฒด์ ์œผ๋กœ ์–ด๋Š ๋ถ€๋ฌธ์—์„œ ์ฐจ์ด์ ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋Š”์ง€, ๋™์‹œ์— ์„œ๋กœ ์ƒ๋ฐ˜๋œ ๊ฐ•์ ๊ณผ ์•ฝ์ ์š”์ธ์ด ์žˆ๋‹ค๊ณ  ์‹ค๋ฌด์ข…์‚ฌ์ž๋“ค์—๊ฒŒ ์•Œ๋ ค์ง„ ๋ฐ”๋ฅผ ์‹ค์ฆ๋ถ„์„ ํ•ด๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ƒ๋ฐ˜๋œ ๋‘ ํฌ์›Œ๋”์˜ ๊ฒฝ์Ÿ๋ ฅ ์š”์ธ์„ ๋น„๊ต๋ถ„์„ํ•˜๊ณ  ๊ทธ์— ๋”ฐ๋ฅธ ์ „๋žต์„ ์ œ์‹œํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ „๋ฌธ๊ฐ€ ๋ธํŒŒ์ด(Delphi) ์ธํ„ฐ๋ทฐ ๋ฐฉ์‹์œผ๋กœ ๊ธฐ์ดˆ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜๊ณ , ์ˆ˜์ง‘๋œ ๋น„์ •ํ˜• ์ž๋ฃŒ๋ฅผ ํ† ๋Œ€๋กœ SWOT ์ „๋žต์„ ๋„์ถœํ•˜๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ƒ๋ฐ˜๋œ ๋‘ ํฌ์›Œ๋” ํ˜•ํƒœ์˜ SWOT ๋ถ„์„์„ ํ†ตํ•ด ๊ตฌ๋ถ„ ๋œ ์š”์ธ ์ค‘ ์œ„ํ˜‘์š”์ธ์— ์ง€๋ชฉ๋œ ์š”์ธ์œผ๋กœ ์ธํ•ด ์—…๊ณ„ ์ „๋ฐ˜์ ์ธ ์นจ์ฒด์™€ ์ˆ˜์ต๋ฅ  ์ €ํ•˜์˜ ์—ฐ๊ด€์„ฑ์„ ์ฐพ๊ณ , ์‹œ์žฅ ์ƒํ™ฉ์—์„œ ๋ฌธ์ œ๋ฅผ ์ง๋ฉดํ•œ ํ•ด๋‹น ์—…์ฒด๋“ค์˜ ๊ตฌ์ฒด์ ์ธ ์ „๋žต๊ณผ ์ •๋ถ€์˜ ์ง€์›์ •์ฑ…์ด ํ•„์š”ํ•œ ์ ์„ ์‹œ์‚ฌํ•˜์˜€๋‹ค. ๊ด€๋ จํ˜‘ํšŒ ๋ฐ ๊ด€๊ณ„๋ถ€์ฒ˜์— ์š”๊ตฌ๋˜๋Š” ํฌ์›Œ๋”ฉ ์—…๊ณ„์˜ ๊ตฌ์กฐ์  ๋ฌธ์ œ์™€ ๊ตฌ์ฒด์ ์ธ ์ง„๋‹จ ๋ฐ ์ปจ์„คํŒ…์˜ ํ•„์š”์„ฑ์„ ์ œ์‹œํ•˜๊ณ , ์ •์ฑ…์ ์ธ ์ง€์›๊ณผ ์ „๋žต์  ์ œํœด ๋ฐ ์ธ์ˆ˜ํ•ฉ๋ณ‘ ์ถ”์ง„, ๊ทธ๋ฆฌ๊ณ  ์ƒˆ๋กœ์šด ์ˆ˜์ต๋ชจ๋ธ ์ฐฝ์ถœ์„ ์œ„ํ•œ ์ง€์›์‹œ์Šคํ…œ์˜ ํ™•์ถฉ ๋“ฑ์˜ ์‹ค์งˆ์ธ ์ง€์›๋ฐฉํ–ฅ์„ ํ”ผ๋ ฅํ•œ๋‹ค.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฉ๋ฒ•๊ณผ ๊ตฌ์„ฑ ๋‚ด์šฉ 3 1. ์—ฐ๊ตฌ์˜ ๋ฐฉ๋ฒ• 3 2. ์—ฐ๊ตฌ ๊ตฌ์„ฑ ๋‚ด์šฉ 4 ์ œ 2 ์žฅ ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์ฒด์˜ ์ด๋ก ์  ๊ณ ์ฐฐ ๋ฐ ํ˜„ํ™ฉ 5 ์ œ 1 ์ ˆ ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์ฒด์˜ ๊ตฌ๋ถ„ 5 1. ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์˜ ์ •์˜ 5 2. ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์˜ ํ˜•ํƒœ๊ตฌ๋ถ„ ๋ฐ ํŠน์ง• 6 ์ œ 2 ์ ˆ ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์˜ ํ˜„ํ™ฉ 7 1. ๊ธ€๋กœ๋ฒŒ ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์˜ ํ˜„ํ™ฉ 7 2. ๊ตญ๋‚ด ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์˜ ํ˜„ํ™ฉ ๋ฐ ๋ฌธ์ œ์  9 ์ œ 3 ์ ˆ ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์ฒด์˜ ์ธ์ˆ˜ํ•ฉ๋ณ‘ ํ˜„ํ™ฉ 18 1. ์ธ์ˆ˜ํ•ฉ๋ณ‘์˜ ์ •์˜ ๋ฐ ์ข…๋ฅ˜ 18 2. ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์ฒด์˜ ์ธ์ˆ˜ํ•ฉ๋ณ‘ ํ˜„ํ™ฉ 21 ์ œ 4 ์ ˆ ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์ฒด์— ๊ด€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ 26 1. ์„ ํ–‰์—ฐ๊ตฌ 26 2. ์ด๋ก ์  ๊ณ ์ฐฐ ๋ฐ ์—ฐ๊ตฌ ํ•œ๊ณ„์  31 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• ๋ฐ ์‹ค์ฆ๋ถ„์„ 33 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๋ชจํ˜•์˜ ์„ค๊ณ„ 33 ์ œ 2 ์ ˆ ์ „๋ฌธ๊ฐ€ ๋ธํŒŒ์ด ์กฐ์‚ฌ 33 1. ๋ธํŒŒ์ด ๋ฐฉ๋ฒ•์˜ ๊ฐœ์š” 33 2. ๋ธํŒŒ์ด์˜ ์ผ๋ฐ˜์  ์ ˆ์ฐจ 34 3. ๋ธํŒŒ์ด ๋ฐฉ๋ฒ• ์ ์šฉ ์‹œ ์ค‘์š”ํ•œ ๋ฌธ์ œ 35 4. ๋ธํŒŒ์ด ์‹ค์ฆ๋ถ„์„ 35 ์ œ 3 ์ ˆ SWOT ๋ถ„์„ 36 ์ œ 4 ์ ˆ ์ „๋žต ๋ถ„์„ 39 ์ œ 4 ์žฅ ๊ตญ์ œ๋ฌผ๋ฅ˜์ฃผ์„ ์—…์ฒด์˜ ๊ฒฝ์Ÿ๋ ฅ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์ „๋žต ์‚ฌ๋ก€ ๋ถ„์„ 42 ์ œ 1 ์ ˆ ์‚ฌ๋ก€๋ถ„์„ ์ •์˜ ๋ฐ ๋ฐฉ๋ฒ• 42 ์ œ 2 ์ ˆ ์ธ์ˆ˜ํ•ฉ๋ณ‘์„ ํ†ตํ•œ ๊ตญ๋‚ด ์ง„์ถœ ์‚ฌ๋ก€ 42 ์ œ 3 ์ ˆ Joint Venture ๊ตญ๋‚ด ์ง„์ถœ ์‚ฌ๋ก€ 45 ์ œ 4 ์ ˆ ๊ตญ๋‚ด ์ผ๋ฐ˜ ๋ฌผ๋ฅ˜๊ธฐ์—…์˜ ์ „๋žต ์‚ฌ๋ก€ 46 ์ œ 5 ์ ˆ ์‹œ์‚ฌ์  ๋ฐ ํ•œ๊ณ„์  48 ์ œ 5 ์žฅ ๊ฒฐ๋ก  50 ์ฐธ๊ณ ๋ฌธํ—Œ 56Maste

    Status of Next-Generation Sequencing-Based Genetic Diagnosis in Hematologic Malignancies in Korea (2017-2018)

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    Background: The aim of this study was to investigate the status of next generation sequencing (NGS)-based genetic diagnosis in hematologic malignancies in Korea in 2017 and 2018. Methods: A structured questionnaire was provided to specialists in charge of the genetic testing of hematologic malignancies via e-mail. The questionnaire consisted of 37 questions reflecting the situation of the institutions for each year and were based on an assessment of the status of the hematologic malignancy NGS test (19 questions) and the institutionโ€™s opinion on the NGS test (18 questions). Results: A total of 12 and 14 laboratories, in 2017 and 2018, respectively, replied to our survey and their answers were further analyzed. Most laboratories were performing NGS panel testing for acute leukemia and myeloid malignancies, and a small proportion of laboratories were testing NGS for lymphoid malignancies. The majority of participants agreed that NGS testing should be essential for the initial diagnostic workup. Conclusions: Variation in NGS panel tests, including choice of gene and platform by different laboratories, were observed. Standardized panels and interpretation, centered around the Korean Society for Genetic Diagnostics, is needed to reduce inter-laboratory variation in NGS test results.ope

    Performances of CYFRA 21-1, Carcinoembryonic Antigen and Their Combination for Lung Cancer Diagnosis

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    "Background: The aim of this study was to compare the efficiency of cytokeratin 19 fragment (CYFRA 21-1) and carcinoembryonic antigen (CEA) for the diagnosis of lung cancer and to establish the optimal cut-off values. Methods: We retrospectively reviewed the medical records of 1,176 subjects with CYFRA 21-2 and CEA data; they were classified into 93 lung cancer cases and 1,083 total controls, including 146 age-matched controls. Multivariate analysis was used to determine the relationship between the concentration of each tumor marker and lung cancer diagnosis. The diagnostic efficiencies of tumor markers were evaluated using receiver operating characteristic curve analysis and areas under the curve (AUCs) were calculated. The optimal cut-offs for CYFRA 21-1 and CEA were also estimated. Results: Age, CYFRA 21-1, and CEA concentrations were independently associated with lung cancer diagnosis. Diagnostic efficiency of each tumor marker and itsโ€™ combination was different according to the histological types of lung cancer. For non-small cell lung cancer, the AUCs for the two-marker combination were the highest: 0.8661 and 0.7559 for total and age-matched controls, respectively. For squamous cell carcinoma, the AUCs for CYFRA 21-1 were the highest: 0.9245 and 0.8428 for total and age-matched controls, respectively. The sensitivity and specificity of CYFRA 21-1 and CEA for lung cancer diagnosis were improved when the cutoffs determined based on this study were applied. Conclusions: CYFRA 21-1 and CEA could be useful markers for diagnosing lung cancer and single or combination of markers may be useful according to different histological types of lung cancer."22Nkc

    ํ˜ˆ์•ก์ข…์–‘ ์ •๋Ÿ‰ ๋ถ„์ž์œ ์ „ ๊ฒ€์‚ฌ๋ฒ•์˜ ๊ฒ€์ • ๊ถŒ๊ณ ์•ˆ

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    Quantitative molecular genetic tests are increasingly used for the detection and quantification of target molecules or genetic alterations. When introducing a new assay into clinical laboratories, it is necessary to verify the manufacturersโ€™ claimed performance characteristics within individual laboratories. Appropriate assay verification procedures are essential to ensure the quality of test results in clinical laboratories. This study aimed to provide recommendations for the verification of quantitative molecular genetic testing focused on the hemato-oncology field in clinical genetic laboratories. Based on a literature review, we provide recommendations for the performance verification of quantitative molecular hemato-oncology tests. The performance characteristic elements that comprise the verification procedures are presented and exemplified. These recommendations can assist individual clinical laboratories in verifying quantitative molecular diagnostic assays.ope

    In-depth circulating tumor DNA sequencing for prognostication and monitoring in natural killer/T-cell lymphomas

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    Background: Epstein-Barr virus (EBV) quantitation and current imaging modalities are used for diagnosis and disease monitoring in Extranodal NK/T cell lymphoma (ENKTL) but have limitations. Thus, we explored the utility of circulating tumor DNA (ctDNA) as a diagnostic biomarker. Methods: Through in-depth sequencing of 118 blood samples collected longitudinally at different time points from 45 patients, we examined the mutational profile of each sample, estimated its impact on the clinical outcome, and assessed its role as a biomarker in comparison with EBV DNA quantitation. Results: The ctDNA concentration was correlated with treatment response, stage, and EBV DNA quantitation. The detection rate of ctDNA mutation was 54.5%, with BCOR (21%) being the most commonly mutated gene in newly diagnosed patients; TP53 mutation (33%) was the most prevalent in patients that experienced a relapse. Additionally, patients in complete remission exhibited a rapid clearance of ENKTL-related somatic mutations, while relapsed patients frequently presented with persisting or emerging mutations. We detected ctDNA mutations in EBV-negative patients (50%) and mutation clearance in EBV-positive patients in remission, suggesting ctDNA genotyping as an efficient complementary monitoring method for ENKTL. Additionally, mutated DDX3X (PFS HR, 8.26) in initial samples predicted poor outcome. Conclusion: Our results suggest that ctDNA analysis can be used to genotype at diagnosis and estimate the tumor burden in patients with ENKTL. Furthermore, ctDNA dynamics indicate the potential use of testing it to monitor therapeutic responses and develop new biomarkers for precision ENKTL therapy.ope

    Aggressive NK Cell Leukemia with RAB29-NUCKS1 Gene Rearrangement: A Case Report

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    Aggressive natural killer (NK) cell leukemia (ANKL) is a rare form of leukemia that may be accompanied by various chromosomal abnormalities such as del(6)(q21q25) or del(11q). Here, we describe a case of a patient with ANKL and an RAB29-NUCKS1 rearrangement that has never been described before. An RNA fusion panel test found a gene fusion between exon 5 of RAB29 and exon 2 of NUCKS1 at chromosome 1q32.1. Additionally, reverse-transcription polymerase chain reaction and Sanger sequencing confirmed cryptic RAB29-NUCKS1 fusion. RAB29 encodes a protein that regulates exocytic and endocytic pathways. NUCKS1 encodes a chromatin-associated protein involved in DNA damage responses. Further studies will be necessary to understand the molecular pathogenesis of ANKL related to an RAB29-NUCKS1 rearrangement.ope

    Therapy-related Acute Lymphoblastic Leukaemia has a Unique Genetic Profile Compared to De Novo Acute Lymphoblastic Leukaemia

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    Background: Unlike therapy-related myeloid neoplasms, therapy-related acute lymphoblastic leukaemia (tr-ALL) is poorly defined due to its rarity. However, increasing reports have demonstrated that tr-ALL is a distinct entity with adverse genetic features and clinical outcomes. Methods: We compared the clinicopathological characteristics and outcomes of patients diagnosed with tr-ALL (n = 9) or de novo ALL (dn-ALL; n = 162) at a single institution from January 2012 to March 2021. The mutational landscapes of eight tr-ALL and 63 dn-ALL patients were compared from a comprehensive next-generation sequencing panel. Results: All tr-ALL patients had the B-cell phenotype. The most frequently mutated genes were IKZF1 (37%), CDKN2A (14%), SETD2 (13%), and CDKN2B (11%) in dn-ALL, whereas TP53 (38%) and RB1 (25%) mutations were most common in tr-ALL. tr-ALL patients did not show a statistically significant difference in overall survival (p = 0.70) or progression-free survival (p = 0.94) compared to dn-ALL patients. Conclusions: In this study, we determined the clinical and genetic profiles of Korean patients with tr-ALL. We found alterations in genes constituting the TP53/RB1 pathway are more frequent in tr-ALL. Due to the rarity of the disease, multi-institutional studies involving a larger number of patients are required in future study.ope
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