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    ๋‹ค์ค‘ ๋…ธ์ถœ ์ž…๋ ฅ์˜ ํ”ผ์ณ ๋ถ„ํ•ด๋ฅผ ํ†ตํ•œ ํ•˜์ด ๋‹ค์ด๋‚˜๋ฏน ๋ ˆ์ธ์ง€ ์˜์ƒ ์ƒ์„ฑ ๋ฐฉ๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ์ธ๊ณต์ง€๋Šฅ์ „๊ณต, 2022. 8. ์กฐ๋‚จ์ต.Multi-exposure high dynamic range (HDR) imaging aims to generate an HDR image from multiple differently exposed low dynamic range (LDR) images. Multi-exposure HDR imaging is a challenging task due to two major problems. One is misalignments among the input LDR images, which can cause ghosting artifacts on result HDR, and the other is missing information on LDR images due to under-/over-exposed region. Although previous methods tried to align input LDR images with traditional methods(e.g., homography, optical flow), they still suffer undesired artifacts on the result HDR image due to estimation errors that occurred in aligning step. In this dissertation, disentangled feature-guided HDR network (DFGNet) is proposed to alleviate the above-stated problems. Specifically, exposure features and spatial features are first extracted from input LDR images, and they are disentangled from each other. Then, these features are processed through the proposed DFG modules, which produce a high-quality HDR image. The proposed DFGNet shows outstanding performance compared to previous methods, achieving the PSNR-โ„“ of 41.89dB and the PSNR-ฮผ of 44.19dB.๋‹ค์ค‘ ๋…ธ์ถœ(Multiple-exposure) ํ•˜์ด ๋‹ค์ด๋‚˜๋ฏน ๋ ˆ์ธ์ง€(High Dynamic Range, HDR) ์ด๋ฏธ์ง•์€ ๊ฐ๊ฐ ๋‹ค๋ฅธ ๋…ธ์ถœ ์ •๋„๋กœ ์ดฌ์˜๋œ ๋‹ค์ˆ˜์˜ ๋กœ์šฐ ๋‹ค์ด๋‚˜๋ฏน ๋ ˆ์ธ์ง€(Low Dynamic Range, LDR) ์ด๋ฏธ์ง€๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ•˜๋‚˜์˜ HDR ์ด๋ฏธ์ง€๋ฅผ ์ƒ์„ฑํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. ๋‹ค์ค‘ ๋…ธ์ถœ HDR ์ด๋ฏธ์ง•์€ ๋‘ ๊ฐ€์ง€ ์ฃผ์š” ๋ฌธ์ œ์  ๋•Œ๋ฌธ์— ์–ด๋ ค์›€์ด ์žˆ๋Š”๋ฐ, ํ•˜๋‚˜๋Š” ์ž…๋ ฅ LDR ์ด๋ฏธ์ง€๋“ค์ด ์ •๋ ฌ๋˜์ง€ ์•Š์•„ ๊ฒฐ๊ณผ HDR ์ด๋ฏธ์ง€์—์„œ ๊ณ ์ŠคํŠธ ์•„ํ‹ฐํŒฉํŠธ(Ghosting Artifact)๊ฐ€ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ๊ณผ, ๋˜ ๋‹ค๋ฅธ ํ•˜๋‚˜๋Š” LDR ์ด๋ฏธ์ง€๋“ค์˜ ๊ณผ์†Œ๋…ธ์ถœ(Under-exposure) ๋ฐ ๊ณผ๋‹ค๋…ธ์ถœ(Over-exposure) ๋œ ์˜์—ญ์—์„œ ์ •๋ณด ์†์‹ค์ด ๋ฐœ์ƒํ•œ๋‹ค๋Š” ์ ์ด๋‹ค. ๊ณผ๊ฑฐ์˜ ๋ฐฉ๋ฒ•๋“ค์ด ๊ณ ์ „์ ์ธ ์ด๋ฏธ์ง€ ์ •๋ ฌ ๋ฐฉ๋ฒ•๋“ค(e.g., homography, optical flow)์„ ์‚ฌ์šฉํ•˜์—ฌ ์ž…๋ ฅ LDR ์ด๋ฏธ์ง€๋“ค์„ ์ „์ฒ˜๋ฆฌ ๊ณผ์ •์—์„œ ์ •๋ ฌํ•˜ ์—ฌ ๋ณ‘ํ•ฉํ•˜๋Š” ์‹œ๋„๋ฅผ ํ–ˆ์ง€๋งŒ, ์ด ๊ณผ์ •์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ถ”์ • ์˜ค๋ฅ˜๋กœ ์ธํ•ด ์ดํ›„ ๋‹จ๊ณ„์— ์•…์˜ํ•ญ์„ ๋ฏธ์นจ์œผ๋กœ์จ ๋ฐœ์ƒํ•˜๋Š” ์—ฌ๋Ÿฌ๊ฐ€์ง€ ๋ถ€์ ์ ˆํ•œ ์•„ํ‹ฐํŒฉํŠธ๋“ค์ด ๊ฒฐ๊ณผ HDR ์ด๋ฏธ์ง€์—์„œ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์‹ฌ์‚ฌ์—์„œ๋Š” ํ”ผ์ณ ๋ถ„ํ•ด๋ฅผ ์‘์šฉํ•œ HDR ๋„คํŠธ์›Œํฌ๋ฅผ ์ œ์•ˆํ•˜์—ฌ, ์–ธ๊ธ‰๋œ ๋ฌธ์ œ๋“ค์„ ๊ฒฝ๊ฐํ•˜๊ณ ์ž ํ•œ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ, ๋จผ์ € LDR ์ด๋ฏธ์ง€๋“ค์„ ๋…ธ์ถœ ํ”ผ์ณ์™€ ๊ณต๊ฐ„ ํ”ผ์ณ๋กœ ๋ถ„ํ•ดํ•˜๊ณ , ๋ถ„ํ•ด๋œ ํ”ผ์ณ๋ฅผ HDR ๋„คํŠธ์›Œํฌ์—์„œ ํ™œ์šฉํ•จ์œผ๋กœ์จ ๊ณ ํ’ˆ์งˆ์˜ HDR ์ด๋ฏธ์ง€ ๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•œ๋‹ค. ์ œ์•ˆํ•œ ๋„คํŠธ์›Œํฌ๋Š” ์„ฑ๋Šฅ ์ง€ํ‘œ์ธ PSNR-โ„“๊ณผ PSNR-ฮผ์—์„œ ๊ฐ๊ฐ 41.89dB, 44.19dB์˜ ์„ฑ๋Šฅ์„ ๋‹ฌ์„ฑํ•จ์œผ๋กœ์จ, ๊ธฐ์กด ๋ฐฉ๋ฒ•๋“ค๋ณด๋‹ค ์šฐ์ˆ˜ํ•จ์„ ์ž…์ฆํ•œ๋‹ค.1 Introduction 1 2 Related Works 4 2.1 Single-frame HDR imaging 4 2.2 Multi-frame HDR imaging with dynamic scenes 6 3 Proposed Method 10 3.1 Disentangle Network for Feature Extraction 10 3.2 Disentangle Features Guided Network 16 4 Experimental Results 22 4.1 Implementation and Details 22 4.2 Comparison with State-of-the-art Methods 22 5 Ablation Study 30 5.1 Impact of Proposed Modules 30 6 Conclusion 32 Abstract (In Korean) 39์„

    In vitro susceptibilities and synergistic action of amphotericin B, 5-fluorocytosine and clotrimazole on candida albicans isolated from

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    ์น˜์˜ํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ๊ตฌ๊ฐ•๋‚ด ์ƒ์ฃผํ•˜๋Š” ํšจ๋ชจ์–‘ ์ง„๊ท ์ค‘ Candida species์˜ ๋ถ„ํฌ์™€ ์•„์šธ๋Ÿฌ ์ด๋“ค์˜ ์ˆ˜์ข… ํ•ญ์ง„๊ท ์ œ์— ๋Œ€ํ•œ ์ตœ์ € ๋ฐœ์œก์–ต์ œ ๋†๋„๋ฅผ ์ธก์ •ํ•จ๊ณผ ๋™์‹œ์— ์ด๋“ค ์ค‘ Candida albicans๋กœ ๋™์ •๋œ ๊ท ์ฃผ๋“ค์— ๋Œ€ํ•œ ํ•ญ๊ท ๋ ฅ์„ ์ธก์ •ํ•˜์—ฌ ๋ณตํ•ฉ์ฒ˜๋ฆฌ์— ๋”ฐ๋ฅธ ํ•ญ๊ท ๋ ฅ ์ƒ์Šน์—ฌ๋ถ€๋ฅผ ๊ทœ๋ช…ํ•จ์œผ๋กœ์จ Candida์ฆ ์น˜๋ฃŒ์— ๊ธฐ์—ฌํ•  ๋ชฉ์ ์œผ๋กœ ๋ณธ ์‹คํ—˜์„ ์‹œํ–‰ํ•˜์—ฌ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๋ก ์„ ์–ป์—ˆ๋‹ค. 1. ๋ณธ ์‹คํ—˜์— ์‚ฌ์šฉ๋œ ์‹œ๋ฃŒ๋กœ์„œ๋Š” 1984๋…„ 3์›”๋ถ€ํ„ฐ 8์›”๊นŒ์ง€ ์—ฐ์„ธ๋Œ€ํ•™๊ต ์›์ฃผ์˜๋Œ€ ๋ถ€์†๋ณ‘์› ์น˜๊ณผ์— ๋‚ด์›ํ•œ ํ™˜์ž 185๋ช…์œผ๋กœ๋ถ€ํ„ฐ ์ฑ„์ทจํ•œ ๊ตฌ๊ฐ•๋„๋ง ๊ฐ€๊ฒ€๋ฌผ์„ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ ์ด๋กœ๋ถ€ํ„ฐ ๋ถ„๋ฆฌ๋œ ์ง„๊ท ์€ 120์˜ˆ๋กœ์„œ 64.8%์ด์—ˆ๊ณ  ์ด์ค‘ 102์˜ˆ๊ฐ€ Candida species์ด์—ˆ๋‹ค. 2. Candida species๋กœ ๋™์ •๋œ 102์˜ˆ ์ค‘ Candida albicans๊ฐ€ 79์˜ˆ(77.4%)๋กœ์„œ ๊ฐ€์žฅ ๋งŽ์•˜์œผ๋ฉฐ ๋‹ค์Œ Candida parapsilosis๊ฐ€ 9์˜ˆ(8.8%), Candida tropicalis๊ฐ€ 7์˜ˆ(6.8%)๋“ฑ์˜ ์ˆœ์ด์—ˆ๋‹ค. 3. ํ•ญ์ง„๊ท ์ œ์˜ Candida albicans์— ๋Œ€ํ•œ ์ตœ์ € ๋ฐœ์œก์–ต์ œ ๋†๋„๋Š” amphotericin B๊ฐ€ 1ใŽ–๋‹น 0.2โˆผ0.4mcg, clotrimazole์ด 1.6โˆผ25.0mcg, 5-fluorocytosine์€ 12.5โˆผใ€‰100.0mcg์ด์—ˆ๋‹ค. 4. Candida albicans์— ๋Œ€ํ•œ ํ•ญ์ง„๊ท ์ œ์˜ ๋ณตํ•ฉ์‚ฌ์šฉ์— ๋”ฐ๋ฅธ ์ƒ์Šนํšจ๊ณผ๋Š” amphotericin B์™€ 5-fluorocytosine์„ ๋ณตํ•ฉ์ฒ˜๋ฆฌํ•œ ๊ฒฝ์šฐ๋‚˜ 5-fluorocytosine๊ณผ clotrimazole์„ ๋ณตํ•ฉ์ฒ˜๋ฆฌํ•œ ๊ฒฝ์šฐ ๋ชจ๋‘ ๋ถ„๋ณ„ ์–ต์ œ ๋†๋„(F.I.C.) ์ง€์ˆ˜๊ฐ€ 0.75๋ณด๋‹ค ์ž‘์•„ ์ƒ์Šนํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ด๊ณ  ์žˆ์—ˆ๋‹ค. 5. ํ•ญ์ง„๊ท ์ œ ๋ณตํ•ฉ์ฒ˜๋ฆฌ์— ์˜ํ•œ Candida albicans์˜ ์‚ฌ๋ฉธ๊ณก์„ ์˜ ๋ณ€ํ™”๋Š” ์•ฝ์ œ์ฒ˜๋ฆฌํ›„ 24์‹œ๊ฐ„๋ถ€ํ„ฐ ๊ธ‰์†ํ•œ ๊ท ์˜ ์‚ฌ๋ฉธํ˜„์ƒ์„ ๋‚˜ํƒ€๋‚ด์—ˆ๋‹ค. [์˜๋ฌธ] This is the study of antifungal activity of amphotericin B, 5-fluorocytosine and clotrimazole which are known to be antifungal agents against Candida albicans isolated from oral cavity. 1) The specimens used in this study were oral smears of 185 patients who visited dental clinic, from March 1984 to August 1984. From those 185 smears fungi were isolated in 120 cases from which 102 cases were identified to be Candida species. 2) Among 102 cases identified to be Candida species, Candida albicans were 79 cases(77.4%) which was greatest in number and the next was C. parapsilosis as 9 cases(8.8%) and C. tropicalis were founded in 7 cases(6.8%). 3) The test of antifungal activity of each antifungal agents against C. albicans showed that M.I.C. of amphotericin B was lowest and the next was clotrimazole and the highest was 5-fluorocytosine. The concentration of each agents was 0.2-9,4mcg, 1.6-25.0mcg and 12.5-ใ€‰100.0mcg. 4) The result of using two agents in combination was that in all 20 strains of C. albicans F.I.C. index was lower than 0.75 in both cases of combination of amphotericin B and 5-fluorocytosine, 5-fluorocytosine and clotrimazole which showed synergistic action. 5) The changes of killing curve in case of using t6wo antifungal agents in combination showed that killing activity became greater 24 hours after the used of agents.restrictio

    GenerIron Atom

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    Kinetic Studies on the Low-lying Excited States of Gallium Atom

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    Maste

    Lithospermic acid B ameliorates the development of diabetic nephropathy in OLETF rats

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    Lithospermic acid B (LAB), an active component isolated from Salvia miltiorrhizae, has been reported to have renoprotective effects in type 1 diabetic animal models. In the present study we investigated the effects of LAB on the prevention of diabetic nephropathy in type 2 diabetic Otsuka Long-Evans-Tokushima Fatty (OLETF) rats. LAB (20 mg/kg) was given orally once daily to 10-week-old male OLETF rats for 28 weeks. Treatment of OLETF rats with LAB had little effects on body weight and blood glucose levels. Treatment with LAB resulted in significant reduction in blood pressure. LAB markedly attenuated albuminuria and significantly lowered levels of lipid peroxidation, monocyte chemoattractant protein-1 (MCP-1), and transforming growth factor-beta (TGF-beta1) expression in renal tissues of OLETF rats. In addition, LAB inhibited the progression of glomerular hypertrophy, mesangial expansion, and expansion of the extracellular matrix in the renal cortex. Collectively, these results suggest that LAB has beneficial effects on the diabetic nephropathy in OLETF rats by decreasing blood pressure, oxidative stress, and MCP-1 expression. Our results suggest that LAB might be a new therapeutic agent for the prevention of nephropathy in type 2 diabetesope
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