36 research outputs found

    ์ƒ๋ณด์ ์ธ ์Šค์œ„์น˜ ๋™์ž‘์„ ์ด์šฉํ•œ ์ฃผ์ž… ๊ณ ์ • ์œ„์ƒ ๋™๊ธฐํ™” ๋ฃจํ”„์˜ ์„ค๊ณ„์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2019. 2. ์ •๋•๊ท .๋†’์€ ์†๋„์˜ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ์ˆ˜์š” ์ฆ๊ฐ€๋กœ ์ธํ•˜์—ฌ ์ข‹์€ ์„ฑ๋Šฅ์˜ ๋†’์€ ์ฃผํŒŒ์ˆ˜ ์ƒ์„ฑ๊ธฐ์˜ ์š”๊ตฌ๊ฐ€ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ์ด์— ๋”ฐ๋ผ ์ฃผ์ž… ๊ณ ์ • ๋ฐœ์ง„๊ธฐ๋ฅผ ์ด์šฉํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ™œ๋ฐœํžˆ ์ง„ํ–‰๋˜๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ƒ๋ณด์ ์ธ ์Šค์œ„์น˜ ๋™์ž‘์„ ์ด์šฉํ•œ ์ฃผ์ž… ๊ณ ์ • ์œ„์ƒ ๋™๊ธฐํ™” ๋ฃจํ”„ (subharmonically injection-locked phase-locked loop) ์˜ ์„ค๊ณ„์— ๊ด€ํ•œ ์—ฐ๊ตฌ์— ๋Œ€ํ•ด ๋…ผ์˜ํ•œ๋‹ค. ์„ค๊ณ„์˜ ๊ฐ„์†Œํ™”๋ฅผ ์œ„ํ•˜์—ฌ ์ƒ๋ณด์ ์ธ ์Šค์œ„์น˜ ๋™์ž‘์„ ์ด์šฉํ•œ ์ฃผ์ž…๋ฐฉ๋ฒ• (complementary switched injection) ์„ ์ œ์•ˆํ•˜๊ณ  ์„œ๋ธŒ์ƒ˜ํ”Œ๋ง ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ (sub-sampling phase detector) ๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์Šค์œ„์น˜ ๋™์ž‘์„ ์ด์šฉํ•œ ์ฃผ์ž…๋ฐฉ๋ฒ•์€ ํŽ„์Šค๋ฐœ์ƒ๊ธฐ๋ฅผ ๋Œ€์ฒดํ•จ์œผ๋กœ์จ ์ง€์—ฐ์‹œ๊ฐ„์ด ๋ฐœ์ƒํ•˜์ง€ ์•Š๋„๋ก ํ•˜์˜€๊ณ  ์ฃผ์ž… ํด๋ฝ์˜ ๋“€์–ผ ์—ฃ์ง€์—์„œ ์ฃผ์ž…์ด ๊ฐ€๋Šฅํ•˜์—ฌ ์‹ฑ๊ธ€ ์—ฃ์ง€ ์ฃผ์ž…๋ณด๋‹ค ์„ฑ๋Šฅ์ด ์ข‹์•„์ง„๋‹ค๋Š” ์žฅ์ ์ด ์žˆ๋‹ค. ์„œ๋ธŒ์ƒ˜ํ”Œ๋ง ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ ๋˜ํ•œ ์œ„์ƒ ๋™๊ธฐํ™” ๋ฃจํ”„์˜ ํ”ผ๋“œ๋ฐฑ ๊ฒฝ๋กœ์—์„œ ์ง€์—ฐ์‹œ๊ฐ„์ด ๋ฐœ์ƒํ•˜์ง€ ์•Š๊ธฐ ๋•Œ๋ฌธ์— ์ถ”๊ฐ€์ ์ธ ์ฃผ์ž… ํƒ€์ด๋ฐ ๋ฃจํ”„๊ฐ€ ์—†์–ด๋„ ์ฃผ์ž… ๊ฒฝ๋กœ์™€ ์œ„์ƒ ๋™๊ธฐํ™” ๋ฃจํ”„์—์„œ ์œ„์ƒ์ด ์กฐ์ •๋  ๋•Œ ์„œ๋กœ๊ฐ„์˜ ๋ถˆ์ผ์น˜๊ฐ€ ๋ฐœ์ƒํ•˜์ง€ ์•Š๋Š”๋‹ค. ๋˜ํ•œ, ์ œ์•ˆ๋œ ๊ตฌ์กฐ์˜ ์ฃผ์ž… ๊ณ ์ • ์œ„์ƒ ๋™๊ธฐํ™” ๋ฃจํ”„๋Š” ์ „์••์ด๋‚˜ ์˜จ๋„์— ๋œ ๋ฏผ๊ฐํ•˜๊ฒŒ ์„ค๊ณ„๋˜์—ˆ๋‹ค. ์ œ์•ˆํ•œ ์Šค์œ„์น˜ ๋™์ž‘์„ ์ด์šฉํ•œ ์ฃผ์ž…๋ฐฉ๋ฒ•์„ ์ „ํ•˜ ์ด๋™์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ถ„์„ํ•˜์˜€๊ณ  ์ž˜๋ชป๋œ ํƒ€์ด๋ฐ์— ์ฃผ์ž…์ด ๋˜์—ˆ์„ ๋•Œ ๋ ˆํผ๋Ÿฐ์Šค ์Šคํผ์— ๋Œ€ํ•œ ์„ฑ๋Šฅ์„ ๋น„๊ตํ•˜์˜€๋‹ค. 65-nm CMOS ๊ณต์ •์„ ์ด์šฉํ•˜์—ฌ ๋งŒ๋“ค์–ด์ง„ ์นฉ์€ 5 GHz ์—์„œ 15.4 mW์˜ ํŒŒ์›Œ ์†Œ๋ชจ์™€ 0.06 mm2 ์˜ ๋ฉด์ ์„ ๊ฐ€์ง„๋‹ค. ๋˜ํ•œ, ๋™์ž‘์˜์—ญ์€ 2.5 GHz ์—์„œ 5.6 GHz ๋ฅผ ๊ฐ€์ง€๋ฉฐ5 GHz ์—์„œ168 fs rms์ง€ํ„ฐ๋ฅผ ๊ฐ–๋Š”๋‹ค.As increasing demands for high speeds link systems and requiring design challenges in clock generation, the injection locking technique is widely used in clock multiplication. However, it is still difficult to design high performance of injection-locked clock multiplier (ILCM) because of its narrow lock-in range. In this thesis, a low-phase-noise subharmonically injection-locked sub-sampling all-digital phase-locked loop (ILPLL) is proposed using a dual-edge complementary switched injection (CSI) technique and sub-sampling bang-bang phase detector (SSBBPD) without an injection pulse generation and injection timing calibration circuitry. With the proposed IL-DCO and SSBBPD, the phase alignment mismatch between the PLL loop and injection path does not occurs and makes it possible to exhibit a simplified architecture. Because the CSI technique exploits dual-edge injection, the performance impact of dual-edge injection when inaccurate injection time occurs is analyzed. Also, the CSI technique is analyzed with base on the charge transfer and derives the realignment factor of the injection. With the CSI technique and the direct connection of the digitally controlled oscillator (DCO) clock to the SSBBPD, the timing mismatch between the PLL loop and injection path becomes less sensitive to voltage and temperature drift. The proposed ILPLL prototype is fabricated in a 65-nm CMOS process and achieves a 168-fs integrated RMS jitter over 1 kHz to 40 MHz at a 5-GHz output frequency with 156.25-MHz reference clock while consuming 15.4 mW with an active area of 0.06 mm2.ABSTRACT I CONTENTS III LIST OF FIGURES V LIST OF TABLES X CHAPTER 1 INTRODUCTION 11 1.1 MOTIVATION 11 1.2 THESIS ORGANIZATION 13 CHAPTER 2 BASIC INJECTION-LOCKED CLOCK MULTIPLIER 14 2.1 INJECTION-LOCKED OSCILLATOR (ILO) 14 2.1.1 INTRODUCTION 14 2.1.2 PHASE DOMAIN RESPONSE (PDR) ANALYSIS 21 2.1.3 NOISE FILTERING BANDWIDTH 30 2.2 INJECTION-LOCKED CLOCK MULTIPLIER 33 2.2.1 OVERVIEW 33 2.2.2 PRIOR ARTS 37 2.2.2.1 PLL-BASED ILCM 37 2.2.2.2 REPLICA-BASED ILCM 39 2.2.2.3 REAL-TIME FTL-BASED ILCM 41 2.3 CONCEPT OF THE PROPOSED ILCM 43 CHAPTER 3 DESIGN OF SUBHARMONICALLY ILPLL 44 3.1 OVERVIEW 44 3.2 PROPOSED ARCHITECTURE 45 3.2.1 OVERALL ARCHITECTURE 45 3.2.2 DUAL-EDGE COMPLEMENTARY SWITCHED INJECTION 47 3.3 ANALYSIS OF THE INJECTION-LOCKED PLL 55 3.3.1 NOISE ANALYSIS 55 3.3.2 PHASE MARGIN ANALYSIS 60 3.3.3 SPUR ANALYSIS 64 3.4 CIRCUIT IMPLEMENTATION 75 3.4.1 DIGITALLY CONTROLLED ILO 75 3.4.2 SSBBPD AND FRONT-END 76 3.4.3 FREQUENCY DETECTOR 82 CHAPTER 4 MEASUREMENT 86 CHAPTER 5 CONCLUSION 97 APPENDIX A 98 BIBLIOGRAPHY 105 ์ดˆ ๋ก 113Docto

    Treatment of Simple Renal Cysts by Percutaneous Aspiration and OK-432 Sclerotherapy

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    PURPOSE: Percutaneous aspiration with sclerotherapy has been widely used for the treatment of symptomatic or large simple renal cysts. Ethanol has been most commonly used as a sclerosing agent; however, a temporary percutaneous nephrostomy for multiple ethanol injections is necessary to achieve a low recurrence rate. Thus, we used OK-432 as a new sclerosing agent without a temporary percutaneous nephrostomy for multiple injections, and also compared our results with the results of previous studies. MATERIALS AND METHDOS: Between October 2005 and April 2006, 50 patients (63 simple renal cysts) who underwent percutaneous OK-432 sclerotherapy for simple renal cysts were evaluated. The simple renal cysts were aspirated under ultrasonography and fluoroscopy, after which OK-432 was injected into the cyst. Follow-up was performed with ultrasonography or CT scan after 3 months. Regression of the renal cyst or a >70% reduction in size with no symptoms was considered a treatment success. RESULTS: Among 63 renal cysts in 50 patients, complete regression occurred in 17(27.0%). Greater than a 90% reduction in size occurred in 8(12.7%), a 80-90% reduction in size occurred in 21(33.3%), and a 70-80% reduction in size occurred in 15(23.8%); a <70% reduction in size occurred in 2 (3%). The overall efficacies of success were 96.8%. After the procedure, there were only some minor complications, such as mild fever, local pain, and liver function test elevation that subsided with symptomatic treatment. CONCLUSIONS: Percutaneous OK-432 sclerotherapy is simple, safe, and effective and can be an alternative first-line therapy of simple renal cysts.ope

    Prognostic impact of peripelvic fat invasion in pT3 renal pelvic transitional cell carcinoma

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    Renal pelvic transitional cell carcinoma (TCC), which invades beyond muscularis into peripelvic fat or the renal parenchyma, is diagnosed as stage pT3 despite its structural complexity. We evaluated the prognostic impact of peripelvic fat invasion in pT3 renal pelvic TCC. Between 1986 and 2004, the medical records on 128 patients who were surgically treated for renal pelvic TCC were retrospectively reviewed. Sixty patients with pT3 disease were eligible for the main analysis. The prognostic impact of various clinicopathological factors was analyzed using univariate and multivariate analyses. On univariate analysis, sex, age, concomitant bladder tumors, concomitant ureter tumors, lymphadenectomy, adjuvant chemotherapy, tumor grade, multiplicity, renal parenchymal invasion, and carcinoma in situ did not influence the disease-specific survival (p>0.05). By contrast, peripelvic fat invasion, lymph node invasion, and lymphovascular invasion were each significantly associated with disease-specific survival (p<0.05). Multivariate analysis showed that peripelvic fat invasion (p=0.012) and lymph node invasion (p=0.004) were independent prognostic factors. In conclusion, peripelvic fat invasion is a strong prognostic factor in pT3 renal pelvic TCC. Thus, systemic adjuvant therapy should be considered in the presence of peripelvic fat invasion, even if the lymph nodes are not involved.ope

    (The) effect of pathologic tumor density on biochemical recurrence after radical prostatectomy

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    ์˜ํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ์—ฐ๊ตฌ๋ชฉ์ : ์ˆ ํ›„ ๋ณ‘๋ฆฌ์กฐ์ง์—์„œ ๊ณ„์‚ฐ๋œ ์ „๋ฆฝ์„ ์•” ์šฉ์ ์€ ์ƒํ™”ํ•™์  ์žฌ๋ฐœ์˜ ๋…๋ฆฝ์  ์œ„ํ—˜์ธ์ž๋กœ์„œ ์•Œ๋ ค์ ธ ์™”๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ „๋ฆฝ์„ ์˜ ํฌ๊ธฐ๋Š” ์•”์˜ ์œ ๋ฌด์™€ ๊ด€๋ จ์—†์ด ๊ฐœ์ธ์˜ ์ƒํƒœ์— ๋”ฐ๋ผ ๋‹ค๋ฅผ ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ์ „๋ฆฝ์„  ํฌ๊ธฐ๋ฅผ ๊ณ ๋ คํ•œ ์ข…์–‘๋ฐ€๋„๊ฐ€ ์ƒํ™”ํ•™์  ์žฌ๋ฐœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋ฐฉ๋ฒ•: 1996๋…„ 5์›”๋ถ€ํ„ฐ 2005๋…„ 4์›”๊นŒ์ง€ ๋ณธ์›์—์„œ ์ „๋ฆฝ์„ ์•”์œผ๋กœ ๊ทผ์น˜์  ์ „๋ฆฝ์„  ์ ˆ์ œ์ˆ ์„ ์‹œํ–‰๋ฐ›์€ ํ™˜์ž ์ค‘ ์ˆ ์ „ ํ˜ธ๋ฅด๋ชฌ ์น˜๋ฃŒ๋ฅผ ์‹œํ–‰๋ฐ›๊ฑฐ๋‚˜ ์•”์˜ ์šฉ์ ์ด ์ˆ  ํ›„ ์ธก์ •๋˜์ง€ ๋ชปํ•œ ํ™˜์ž๋ฅผ ์ œ์™ธํ•œ 251๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. ์ „๋ฆฝ์„ ์šฉ์ ์€ ๋ณ‘๋ฆฌ์†Œ๊ฒฌ์—์„œ ๋ณด๊ณ ๋œ ๋ฌด๊ฒŒ๋ฅผ ์šฉ์ ์œผ๋กœ ํ™˜์‚ฐํ•˜์—ฌ ์ด์šฉํ•˜์˜€์œผ๋ฉฐ ์•”์˜ ์šฉ์ ์€ ๋ณ‘๋ฆฌ์กฐ์ง์—์„œ ์ „์ฒด์กฐ์ง์„ Stanford protocol์„ ์ด์šฉํ•˜์—ฌ ์ปดํ“จํ„ฐ๋กœ ๊ณ„์‚ฐ๋˜์—ˆ๋‹ค. ์ƒํ™”ํ•™์  ์žฌ๋ฐœ์˜ ์œ„ํ—˜์ธ์ž๋กœ ์•Œ๋ ค์ง„ ์ธ์ž๋“ค์„ ํฌํ•จํ•˜์—ฌ ์•”์šฉ์ ๊ณผ ์ข…์–‘๋ฐ€๋„๋ฅผ ๋‹จ๋ณ€๋Ÿ‰ ๋ถ„์„์„ ์ด์šฉํ•˜์—ฌ ๋ฌด๋ณ‘์ƒ์กด๊ธฐ๊ฐ„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ ์˜๋ฏธ์žˆ๊ฒŒ ๋‚˜์˜จ ์ธ์ž๋“ค๋กœ ๋‹ค๋ณ€๋Ÿ‰ ๋ถ„์„์„ ์‹œ๋„ํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ: ๋‹จ๋ณ€๋Ÿ‰ ๋ถ„์„์—์„œ ๋ฌด๋ณ‘์ƒ์กด๊ธฐ๊ฐ„์— ์œ ์˜ํ•œ ์œ„ํ—˜์ธ์ž๋“ค๋กœ๋Š” PSA 10ng/ml์ด์ƒ (p < 0.009), ์•”์šฉ์  5cc์ด์ƒ (p < 0.010), ์ข…์–‘๋ฐ€๋„ 10%์ด์ƒ (p < 0.007), ํ”ผ๋ง‰์นจ๋ฒ”์œ ๋ฌด (p = 0.009), ๋ฆผํ”„์ ˆ์นจ๋ฒ”์œ ๋ฌด(p = 0.008), ์™ธ๊ณผ์  ๊ฒฝ๊ณ„ ์นจ๋ฒ”์œ ๋ฌด(p = 0.000), ์ •๋‚ญ์นจ๋ฒ” ์œ ๋ฌด์˜€๋‹ค (p = 0.032). ๋‹จ๋ณ€๋Ÿ‰ ๋ถ„์„์—์„œ ์œ ์˜ํ•œ ์œ„ํ—˜์ธ์ž๋“ค๋กœ ์‹œํ–‰๋œ ๋‹ค๋ณ€๋Ÿ‰ ๋ถ„์„์—์„œ ์™ธ๊ณผ์  ๊ฒฝ๊ณ„ ์นจ๋ฒ”์œ ๋ฌด์™€ (๋น„๊ต์œ„ํ—˜๋„ = 3.066, p = 0.000) ์ข…์–‘๋ฐ€๋„ 10%์ด์ƒ์ด ์ƒํ™”ํ•™์  ์žฌ๋ฐœ๊ณผ ๋ฌด๋ณ‘์ƒ์กด๊ธฐ๊ฐ„์— ์˜๋ฏธ์žˆ๋Š” ์œ„ํ—˜์ธ์ž๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค (๋น„๊ต์œ„ํ—˜๋„ = 1.991, p = 0.026). ์ด๋Š” ์ข…์–‘๋ฐ€๋„๋ฅผ ์ธ์ž๋กœ์„œ ์ œ์™ธํ•˜์˜€์„ ๋•Œ ์™ธ๊ณผ์  ๊ฒฝ๊ณ„ ์นจ๋ฒ”์œ ๋ฌด์™€ (๋น„๊ต์œ„ํ—˜๋„ = 3.099, p = 0.000) ์•”์šฉ์  5cc์ด์ƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์„ ๋•Œ์™€ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค (๋น„๊ต์œ„ํ—˜๋„ = 2.032, p = 0.033). ๊ฒฐ๋ก : ์ข…์–‘๋ฐ€๋„๋Š” ์•”์šฉ์  ๋‹จ๋…์— ๋น„ํ•ด ์ƒ์œ„์˜ ์ƒํ™”ํ•™์  ์žฌ๋ฐœ์˜ ์œ„ํ—˜์ธ์ž๋กœ ๊ณ ๋ ค๋˜์–ด์•ผ ํ•  ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค. [์˜๋ฌธ]Purpose: Prostate cancer volume, which is calculated from pathological tissue after the operation, has been known as an independent risk factor of biochemical recurrence. However, it is possible that the size of prostate depends on individual state regardless of the existence of cancer. Therefore, we evaluated the effect of tumor density reflecting the size of prostate on biochemical recurrence. Patients and Methods: 251 patients were selected for the study. They underwent radical prostatectomy for prostate cancer in our hospital from May, 1996 to April, 2005 and did not recieve neoadjuvant treatment before the operation. The size of the cancer in each patient was clearly measured. We calculated the size of the prostate by converting the weight reported in pathologic finding and the size of the cancer by computer using stanford protocol of whole specimen. We analyzed the effect on disease free survival time using univariate analysis of factors of tumor volume and tumor density including risk factors of biochemical recurrence. We also tried to perform the multivariate analysis of the factors which was considered critical in univariate analysis. Results: The univariate analysis showed that critical risk factors of disease free survival time were over 10ng/ml of PSA (p < 0.009), over 5cc of tumor volume (p < 0.010), over 10% in tumor density (p < 0.007), capsular invasion (p = 0.009), lymph node invasion (p = 0.008), positive surgical margin (p = 0.000), and seminal vesicle invasion (p = 0.032). positive surgical margin (relative risk = 3.066, p = 0.000) and over 10% in tumor density were also considered critical risk factors of biochemical recurrence and disease free survival time in multivariate analysis which was performed with risk factors considered in uniivariate analysis. If excluding tumor density as a risk factor for biochemical recurrence, time to biochemical recurrence was significantly shorter in patients with positive surgical margin (relative risk = 3.099, p = 0.000), and tumor volume greater than 5cc (relative risk = 2.032, p = 0.033) than in those without. Conclusion: Tumor density should be more critical risk factor of biochemical recurrence than the volume of cancer.ope

    [ํŠน์ง‘] ๊ธฐ์—…์—์„œ ์ธ์ ์ž์›๊ฐœ๋ฐœ์˜ ์˜๋ฏธ

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    ๋ชฉ์ : ๋‹น๋‡จ๋ณ‘์€ ๋‹จ์ผ ์งˆํ™˜์œผ๋กœ ๋ฐœ๊ธฐ๋ถ€์ „์˜ ๊ฐ€์žฅ ํ”ํ•œ ์›์ธ์ด๋ฉฐ, ๋‹น๋‡จ๋ณ‘์„ฑ ๋ฐœ๊ธฐ๋ถ€์ „์€ ํ‘œ์ค€ ์น˜๋ฃŒ๋ฒ•์— ์ž˜ ๋ฐ˜์‘ํ•˜์ง€ ์•Š๋Š” ๋‚œ์น˜์„ฑ ์งˆํ™˜์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ์ง€๊ธˆ๊นŒ์ง€ ๋‹น๋‡จ๋ณ‘์„ฑ ๋ฐœ๊ธฐ๋ถ€์ „์˜ ๋ฐœ์ƒ์— ๊ด€์—ฌํ•˜๋Š” ๋‹ค์–‘ํ•œ ๋ณ‘ํƒœ์ƒ๋ฆฌํ•™์  ๊ธฐ์ „๋“ค์ด ์ œ์‹œ๋œ ๋ฐ” ์žˆ์œผ๋‚˜ ํ˜ˆ๋‹น ์กฐ์ ˆ์˜ ์ •๋„์— ๋”ฐ๋ฅธ ๋ฐœ๊ธฐ๋ ฅ์˜ ๋ณ€ํ™”์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ์ „๋ฌดํ•œ ์‹ค์ •์ด๋‹ค. ์ž„์ƒ์ ์œผ๋กœ ๋ฐœ๊ธฐ๋ถ€์ „์˜ ์œ ๋ณ‘๋ฅ ๊ณผ ์‹ฌํ•œ ์ •๋„๋Š” ํ˜ˆ๋‹น์˜ ์กฐ์ ˆ์ƒํƒœ์™€ ๋‹น๋‡จ๋ณ‘์˜ ์œ ๋ณ‘๊ธฐ๊ฐ„๊ณผ ๋ฐ€์ ‘ํ•œ ๊ด€๋ จ์„ฑ์„ ์ง€๋‹Œ๋‹ค. ์‹คํ—˜์ ์œผ๋กœ๋Š” ์ธ์Š๋ฆฐ์ด ํ˜ˆ๋‹น์˜ ์กฐ์ ˆ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋ฐœ๊ธฐํ˜„์ƒ์— ์žˆ์–ด ํ•ต์‹ฌ์ ์ธ ์—ญํ• ์„ ๋‹ด๋‹นํ•˜๋Š” nitric oxide์˜ ํ™œ์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚ค๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹น๋‡จ๋ณ‘ ์œ ๋ฐœ ๋ฐฑ์„œ์—์„œ ์ธ์Š๋ฆฐ์„ ์ด์šฉํ•˜์—ฌ ํ˜ˆ๋‹น ์กฐ์ ˆ ์ •๋„๋ฅผ ์ฐจ๋“ฑํ™” ํ•˜์˜€์„ ๋•Œ ๋‚˜ํƒ€๋‚˜๋Š” ๋ฐœ๊ธฐ๋ ฅ์˜ ๋ณ€ํ™”๋ฅผ ๊ด€์ฐฐํ•˜๊ณ  ์ด์— ๋”ฐ๋ฅธ ์Œ๊ฒฝํ•ด๋ฉด์ฒด์˜ ๊ตฌ์กฐ์ , ๊ธฐ๋Šฅ์  ๋ณ€ํ™”๋ฅผ ์กฐ์‚ฌํ•˜์—ฌ ๋‹น๋‡จ๋ณ‘์„ฑ ๋ฐœ๊ธฐ๋ถ€์ „์˜ ๋ณ‘ํƒœ์ƒ๋ฆฌํ•™์  ๊ธฐ์ „ ๊ทœ๋ช…์— ์žˆ์–ด ๊ฐ€์žฅ ํ•ต์‹ฌ์ ์ธ ๊ธฐ์ดˆ ์ง€์‹์„ ์ œ๊ณตํ•ด ์ค„ ๊ฒƒ์ด๋‹ค. ๋Œ€์ƒ ๋ฐ ๋ฐฉ๋ฒ•: 8์ฃผ๋ น ์ˆ˜์ปท ๋ฐฑ์„œ 55๋งˆ๋ฆฌ๋ฅผ ์ •์ƒ ๋Œ€์กฐ๊ตฐ๊ณผ ๋‹น๋‡จ๋ณ‘๊ตฐ์œผ๋กœ ๋ฌด์ž‘์œ„ ๋ฐฐ์ • ํ›„ ๋‹น๋‡จ๋ณ‘๊ตฐ์˜ ๋ฐฑ์„œ๋Š” streptozotocin์˜ ๋ณต๊ฐ• ๋‚ด ์ฃผ์‚ฌ๋กœ ๋‹น๋‡จ๋ณ‘์„ ์œ ๋ฐœํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ์ž์˜ ์„ ํ–‰ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•˜์—ฌ ๋ฐœ๊ธฐ๋ ฅ์˜ ๋šœ๋ ทํ•œ ์ €ํ•˜๊ฐ€ ๊ด€์ฐฐ๋˜๋Š” ์‹œ์ ์ธ ๋‹น๋‡จ๋ณ‘ ์œ ๋ฐœ ํ›„ 10์ฃผ์งธ์— ์ •์ƒ๋Œ€์กฐ๊ตฐ (1๊ตฐ, 10๋งˆ๋ฆฌ), ์—„๊ฒฉํ•œ ํ˜ˆ๋‹น ์กฐ์ ˆ๊ตฐ (2๊ตฐ, 15๋งˆ๋ฆฌ), ๋ถˆ๋Ÿ‰ํ•œ ํ˜ˆ๋‹น ์กฐ์ ˆ๊ตฐ (3๊ตฐ, 15๋งˆ๋ฆฌ), ๋น„์น˜๋ฃŒ ๋‹น๋‡จ๋ณ‘๊ตฐ (4๊ตฐ, 15๋งˆ๋ฆฌ)์œผ๋กœ ๋‹ค์‹œ ๋ฌด์ž‘์œ„ ๋ฐฐ์ •ํ•˜์˜€๋‹ค. ์ดํ›„ 4์ฃผ ๋™์•ˆ ์ธ์Š๋ฆฐ ํˆฌ์—ฌ๋ฅผ ํ†ตํ•˜์—ฌ ํ˜ˆ๋‹น ์กฐ์ ˆ ๋ชฉํ‘œ๋ฅผ ๋‹ฌ์„ฑํ•œ ์ดํ›„ ํ˜ˆ๋‹น ์กฐ์ ˆ ์ •๋„์— ๋”ฐ๋ฅธ ๋ฐœ๊ธฐ๋ ฅ์˜ ๋ณ€ํ™”๋ฅผ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๋ฐœ๊ธฐ๋ ฅ์˜ ํ‰๊ฐ€๋Š” ํ•ด๋ฉด์ฒด์‹ ๊ฒฝ ์ „๊ธฐ์ž๊ทน์— ๋Œ€ํ•œ ํ•ด๋ฉด์ฒด๋‚ด์••์ธก์ •์ˆ ๋กœ ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ, ์ธก์ •๋œ ํ•ด๋ฉด์ฒด๋‚ด์••์€ ํ‰๊ท ๋™๋งฅ์••์œผ๋กœ ๋ณด์ •ํ•˜์˜€๋‹ค. ํ•ด๋ฉด์ฒด๋‚ด์••์ธก์ •์ˆ ์„ ํ†ตํ•˜์—ฌ ์ฃผํŒŒ์ˆ˜-์˜์กด์  ๋‚ด์•• ๋ณ€ํ™”, ํ•ด๋ฉด์ฒด๋‚ด์•• ๋ฐ˜์‘๊ณก์„ ์˜ AUC (area under the curve), ์ตœ๋Œ€ ๋ฐ˜์‘ ๋„๋‹ฌ ์‹œ๊ฐ„ ๋“ฑ ๋‹ค์–‘ํ•œ ์ƒ๋ฆฌํ•™์  ์ง€ํ‘œ๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ๋ฐœ๊ธฐ๋ฐ˜์‘์˜ ์ƒ๋ฆฌํ•™์  ์ง€ํ‘œ๋“ค์€ ๋‹นํ™”ํ˜ˆ์ƒ‰์†Œ (HbA1c)์˜ ์ˆ˜์น˜๋กœ ๋Œ€๋ณ€๋˜๋Š” ํ˜ˆ๋‹น ์กฐ์ ˆ์˜ ์ •๋„์™€ ๋น„๊ตํ•˜์˜€๋‹ค. ๋ฉด์—ญํ™”ํ•™์—ผ์ƒ‰์„ ํ†ตํ•˜์—ฌ ์Œ๊ฒฝํ•ด๋ฉด์ฒด์˜ ์„ธ๊ณ ๊ณ ์‚ฌ์ง€์ˆ˜ (TUNEL ์—ผ์ƒ‰)์™€ ํ•ด๋ฉด์ฒด ํ‰ํ™œ๊ทผ ๋ถ„ํฌ๋น„์œจ (alpha-smooth muscle actin)์„ ์กฐ์‚ฌํ•˜๊ณ , ํ•ด๋ฉด์ฒด ํ‰ํ™œ๊ทผ ์ด์™„์— ๊ด€์—ฌํ•˜๋Š” nitric oxide synthase (NOS) ๊ฒฝ๋กœ์™€ ํ‰ํ™œ๊ทผ ์ˆ˜์ถ•์— ๊ด€์—ฌํ•˜๋Š” RhoA/Rho-kinase ๊ฒฝ๋กœ์—์„œ ํ•ต์‹ฌ์ ์ธ ์—ญํ•™์„ ๋‹ด๋‹นํ•˜๋Š” ๋ฌผ์งˆ๋“ค (nNOS, eNOS, Akt, MYPT1, PTEN)์˜ ๋‹จ๋ฐฑ ๋ฐœํ˜„ ๋ณ€ํ™”๋ฅผ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์Œ๊ฒฝํ•ด๋ฉด์ฒด ํ‰ํ™œ๊ทผ์˜ ๊ตฌ์กฐ์ , ๊ธฐ๋Šฅ์  ๋ณ€ํ™” ์–‘์ƒ์€ ๋ฐœ๊ธฐ๋ฐ˜์‘์˜ ์ƒ๋ฆฌํ•™์  ์ง€ํ‘œ์™€ ์—ฐ๊ด€๋˜์–ด ๋น„๊ต๋˜์—ˆ์œผ๋ฉฐ, ์ตœ์ข…์ ์œผ๋กœ๋Š” ํ˜ˆ๋‹น ์กฐ์ ˆ ์ •๋„์— ๋”ฐ๋ผ ๋ถ„์„๋˜์—ˆ๋‹ค. ๊ฒฐ๊ณผ: ๋‹น๋‡จ๋ฅผ ์œ ๋ฐœํ•œ ๋ฐฑ์„œ์—์„œ ์œ ๋ฐœ ํ›„ 10์ฃผ๊นŒ์ง€ ํ‰๊ท  ํ˜ˆ๋‹น์—๋Š” ๋ณ„๋‹ค๋ฅธ ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. 10์ฃผ ์ดํ›„ ๋‹น๋‡จ๋ณ‘์ด ์œ ๋ฐœ๋œ ๋ฐฑ์„œ๋ฅผ 2, 3, 4๊ตฐ์œผ๋กœ ๋ฌด์ž‘์œ„ ๋ฐฐ์ •ํ•œ ํ›„ ์‹คํ—˜๊ตฐ๋ณ„๋กœ ์ธ์Š๋ฆฐ ์น˜๋ฃŒ๋ฅผ ์‹œ์ž‘ํ•œ 2๊ตฐ๊ณผ 3๊ตฐ์—์„œ ํ‰๊ท  ํ˜ˆ๋‹น์€ ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ๊ฒŒ ์œ ์ง€๋˜์—ˆ๋‹ค. ํ‰๊ท  ๋‹นํ™”ํ˜ˆ์ƒ‰์†Œ ์ˆ˜์น˜๋Š” 1, 2, 3, 4๊ตฐ ๊ฐ๊ฐ์—์„œ 4.1 ยฑ 0.1%, 4.8 ยฑ 0.5%, 7.4 ยฑ 0.5%, 9.2 ยฑ 1.0%๋กœ ๋‘ ๊ตฐ๋ณ„๋กœ ๊ฐ๊ฐ ์„œ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. ๋ฐฑ์„œ์˜ ๋ฌด๊ฒŒ๋Š” 10์ฃผ์งธ๊นŒ์ง€ 1๊ตฐ์ด ๋‹ค๋ฅธ ๊ตฐ์— ๋น„ํ•ด ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜๋Š” ์†Œ๊ฒฌ์„ ๋ณด์˜€์œผ๋ฉฐ 10์ฃผ์งธ ์ธ์Š๋ฆฐ ์น˜๋ฃŒ๋ฅผ ์‹œ์ž‘ํ•œ ์ดํ›„ 2๊ตฐ์ด 3๊ตฐ์— ๋น„ํ•ด ์œ ์˜ํ•œ ์ฒด์ค‘ ์ฆ๊ฐ€๋ฅผ ๋ณด์˜€๋‹ค. 4๊ตฐ์—์„œ 10์ฃผ์งธ ์ดํ›„ ์ฒด์ค‘์ด ๊ฐ์†Œํ•˜๋Š” ์†Œ๊ฒฌ์„ ๋ณด์˜€๋‹ค. ํ‰๊ท  ๋‚จ์„ฑํ˜ธ๋ฅด๋ชฌ ์ˆ˜์น˜๋Š” 1, 2, 3, 4๊ตฐ ๊ฐ๊ฐ์—์„œ 1.7 ยฑ 0.3, 0.9 ยฑ 0.2, 1.6 ยฑ 0.6, 1.1 ยฑ 0.2 (nmol/L)์˜€์œผ๋ฉฐ ๋‘ ๊ตฐ๋ณ„๋กœ ๊ฐ๊ฐ ๋น„๊ตํ•˜์˜€์„ ๋•Œ 2, 3, 4๊ตฐ์€ ์„œ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜์œผ๋ฉฐ (P=0.879) ์ด์— ๋น„ํ•ด 1๊ตฐ์€ ์œ ์˜ํ•˜๊ฒŒ ๋†’์€ ์ˆ˜์น˜๋ฅผ ๋ณด์˜€๋‹ค (P=0.041). ํ•ด๋ฉด์ฒด์‹ ๊ฒฝ ์ž๊ทน์‹œ ์ฃผํŒŒ์ˆ˜์— ๋”ฐ๋ผ ๋ฐœ๊ธฐ๋ ฅ์ด ์ƒ์Šนํ•˜๋Š” ์†Œ๊ฒฌ์„ ๋ณด์˜€์œผ๋ฉฐ ํ•ด๋ฉด์ฒด์‹ ๊ฒฝ ์ž๊ทน์ „ ๊ธฐ์ € ํ•ด๋ฉด์ฒด๋‚ด์••์€ ๋ณ„๋‹ค๋ฅธ ์ฐจ์ด๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜๋‹ค (P=0.774). 1๊ตฐ์—์„œ ํ•ด๋ฉด์ฒด๋‚ด์•• ๋ฐ ํ•ด๋ฉด์ฒด๋‚ด์••๊ณก์„ ์˜ AUC๊ฐ€ ๊ฐ€์žฅ ๋†’์•˜๋‹ค. 2๊ตฐ์—์„œ ํ•ด๋ฉด์ฒด ๋‚ด์••์€ 1๊ตฐ๊ณผ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜์œผ๋ฉฐ 20Hz ์ž๊ทน์—์„œ๋งŒ ํ•ด๋ฉด์ฒด๋‚ด์••๊ณก์„ ์˜ AUC๊ฐ€ 1๊ตฐ์— ๋น„ํ•ด ์œ ์˜ํ•˜๊ฒŒ ์ €ํ•˜๋œ ์†Œ๊ฒฌ์„ ๋ณด์˜€๋‹ค. 3๊ตฐ์—์„œ๋Š” ํ•ด๋ฉด์ฒด๋‚ด์••๊ณผ ํ•ด๋ฉด์ฒด๋‚ด์••๊ณก์„ ์˜ AUC ๋ชจ๋‘ ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œํ•˜์˜€์œผ๋ฉฐ 4๊ตฐ์€ 3๊ตฐ์— ๋น„ํ•ด ๋” ๋‚ฎ์€ ํ•ด๋ฉด์ฒด๋‚ด์••๊ณผ ํ•ด๋ฉด์ฒด๋‚ด์••๊ณก์„ ์˜ AUC๊ฐ’์ด ๋ชจ๋‘ ๊ฐ์†Œํ•˜์˜€์œผ๋‚˜ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜๋‹ค. ์„ธํฌ๊ณ ์‚ฌ์ง€์ˆ˜๋Š” ํ˜ˆ๋‹น์กฐ์ ˆ์ˆ˜์ค€์ด ์•…ํ™”๋จ์— ๋”ฐ๋ผ ์ฆ๊ฐ€ํ•˜๋Š” ์†Œ๊ฒฌ์„ ๋ณด์˜€๋‹ค. 1, 2, 3, 4๊ตฐ์˜ ์„ธํฌ๊ณ ์‚ฌ์ง€์ˆ˜๋Š” ๊ฐ๊ฐ 8.3 ยฑ 1.7%, 10.5 ยฑ 2.0%, 15.7 ยฑ 3.7%, 19.5 ยฑ 4.0%์˜€์œผ๋ฉฐ 1๊ตฐ๊ณผ 2๊ตฐ์€ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜๋‹ค. ์„ธํฌ๊ณ ์‚ฌ์ง€์ˆ˜๋Š” 2๊ตฐ์— ๋น„ํ•ด 3๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€๊ณ  3๊ตฐ์— ๋น„ํ•ด 4๊ตฐ์—์„œ ์œ ์˜ํ•œ ์ฆ๊ฐ€๋ฅผ ๋ณด์˜€๋‹ค. ์ด์™€ ๋ฐ˜๋Œ€๋กœ ํ•ด๋ฉด์ฒด ํ‰ํ™œ๊ทผ ๋ถ„ํฌ๋น„์œจ์€ 1๊ตฐ๊ณผ 2๊ตฐ์—์„œ ์ฐจ์ด๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜์œผ๋ฉฐ 2๊ตฐ์— ๋น„ํ•ด 3๊ตฐ์ด ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œํ•˜๊ณ , 3๊ตฐ์— ๋น„ํ•ด 4๊ตฐ์—์„œ ์œ ์˜ํ•œ ๊ฐ์†Œ๋ฅผ ๋ณด์˜€๋‹ค. ๋ถ„์ž์ƒ๋ฌผํ•™์  ๊ฒฐ๊ณผ๋ฅผ ์‚ดํŽด๋ณด๋ฉด nNOS ๋ฐœํ˜„์ด 2, 3, 4๊ตฐ์—์„œ ๋ณ„๋‹ค๋ฅธ ์ฐจ์ด๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜์œผ๋‚˜ 1๊ตฐ์— ๋น„ํ•ด ๋ชจ๋‘ ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œํ•œ ์†Œ๊ฒฌ์„ ๋ณด์˜€๋‹ค. RhoA/Rho kinase ๊ฒฝ๋กœ์˜ ํ™œ์„ฑํ™”์™€ ๊ด€๋ จํ•œ MYPT ์ „์ฒด ๋‹จ๋ฐฑ์— ๋Œ€ํ•œ ์ธ์‚ฐํ™”๋œ ๋‹จ๋ฐฑ์˜ ๋น„์œจ์ด 3, 4๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€์œผ๋ฉฐ eNOS ๊ฒฝ๋กœ์™€ ๊ด€๋ จ๋œ eNOS์™€ Akt ๋‹จ๋ฐฑ์ด 1, 2๊ตฐ์— ๋น„ํ•ด 3, 4๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œ๋œ ์†Œ๊ฒฌ์„ ๋ณด์˜€๋‹ค. ๊ฒฐ๋ก : ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ํ˜ˆ๋‹น ์กฐ์ ˆ ์ •๋„์— ๋”ฐ๋ผ ๋ฐœ๊ธฐ๋ ฅ์ด ์ฐจ์ด๋ฅผ ๋ณด์ธ๋‹ค๋Š” ์ ์„ ๋ถ„๋ช…ํžˆ ํ•˜์˜€์œผ๋ฉฐ, ๋ฐœ๊ธฐ๋ ฅ์„ ์ตœ๋Œ€ํ•œ ๋ณด์กดํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์—„๊ฒฉํ•œ ํ˜ˆ๋‹น ์กฐ์ ˆ์ด ํ•„์š”ํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋Š” nNOS ๋ฐœํ˜„ ๋ฐ ๋‚จ์„ฑํ˜ธ๋ฅด๋ชฌ ์ˆ˜์น˜์˜ ์ฐจ์ด, ์„ธํฌ๊ณ ์‚ฌ์˜ ์ฆ๊ฐ€ ๋ฐ ํ•ด๋ฉด์ฒด ํ‰ํ™œ๊ทผ ๋ถ„ํฌ๋น„์œจ์˜ ๊ฐ์†Œ, RhoA/Rho kinase ๊ฒฝ๋กœ์˜ ํ™œ์„ฑํ™”์™€ eNOS ๊ฒฝ๋กœ์˜ ์–ต์ œ ๊ธฐ์ „์ด ๊ด€์—ฌํ•˜์˜€๋‹ค.Objectives: Poor glycemic control is associated with erectile dysfunction (ED); however, differences in ED according to the level of glycemic control have been poorly investigated. The aim of the present study is to investigate the change in erectile function according to the level of glycemic control and to clarify the pathophysiologic mechanism of diabetes-associated ED. Materials and methods: Streptozotocin was injected into fifty-five male Sprague-Dawley rats classified into four groups: control (group 1), diabetes with multiple insulin injections (group 2), diabetes with a single injection (group 3) and untreated diabetes (group 4). Daily insulin injections in groups 2 and 3 for 4 wk after 10 wk of diabetic induction. ANOVA or Kruskal-Wallis test to evaluate glycosylated hemoglobin (HbA1c), testosterone levels, the ratios of intracavernosal pressure over mean arterial pressure (ICP/MAP), area under the ICP curve over MAP (AUC/MAP), changes in cavernous tissue and protein expression related to Rho kinase and nitric oxide pathways. Results: HbA1c levels were different between pairs of groups. Group 4 showed the lowest erectile parameters and group 2 showed near normal level. No differences in erectile parameters were found between groups 1 and 2 or groups 3 and 4, except AUC/MAP for group 1 was significantly higher than that of group 2 (20 Hz stimulation). Decrease in erectile function of group 2 was related to decreased expression of nNOS or decreased testosterone level compared to group 1. Groups 2 and 3 showed significant differences in erectile parameters, which were associated with difference in apoptotic index. Groups 3 and 4 showed no differences in erectile parameters, although these groups had significant differences in apoptotic index, smooth muscle component and protein expression ratios of phosphorylated/total MYPT1, eNOS and Akt. Conclusions: Improvement in glycemic control assists recovery from diabetes-associated ED; however, only tight glycemic control can provide recovery from ED to a near normal status.Docto

    ๊ตฌ๋ฆฌ ํ‘œ๋ฉด ์œ„์—์„œ์˜ ๊ทธ๋ž˜ํ•€ ํ•ฉ์„ฑ์— ๋Œ€ํ•œ ํ•ต ์ƒ์„ฑ ๋ฐ ์„ฑ์žฅ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์žฌ๋ฃŒ๊ณตํ•™๋ถ€, 2015. 2. ๊น€๊ธฐ๋ฒ”.In this dissertation, two major issues of graphene growth and solutions for two issues were discussed. First issue is developing transfer-free graphene growth process on target substrate (chapter 3 and 4) and the other issue is study on graphene growth and obtaining high-quality and large grain size graphene via understanding nucleation and growth kinetics (chapter 5 and 6). In introductory part (chapter 1 and 2), general overview on graphene and growth methods is presented. Literature survey on previous graphene growth work and motivation for following work in this dissertation are also covered in chapter 1. In the chapter 2, review on various approaches for obtaining high-quality graphene will be covered based on its fundamental aspects of nucleation and growth. The relationships between each parameters of growing graphene and properties of as-grown graphene are discussed. In chapter 3, a rapid graphene growth method that can be carried out on any desired substrate, including insulator, thus negating the need for the transfer from metal substrate is introduced. Rapid annealing of a bilayer of a-C and metal deposited on the surface leads to the formation of graphene film, and to subsequent breaking-up of the thin metal layer underneath the film, resulting in a formation of a graphene-metal hybrid film which is both transparent and electrically conducting. In chapter 4, graphene film on silicon substrates having various orientations by simple heating in the presence of carbon source gas is discussed. We observed that a 3C-SiC (111) film would form upon carburizing silicon with carbon deposited from a carbon source because it is well lattice-matched with Si (110) (less than 2 %). Graphene grew on the buffer layer of 3C-SiC (111). The surface consists of hexagonal arrays that can act as a template for graphene growth. In chapter 5, the effect of gas transport inside a micrometre-scale jig gap on the growth of graphene on Cu foil located in the gap is reported. Due to the small size of the gap, a boundary layer is fully developed inside the gap, and the gas molecule transport is controlled by the molecular flow. First, the Cu surface is protected from the sublimation and re-deposition of Cu during pre-annealing, which results from the relatively static gas environment of the molecular gas flow. Second, suppression of the gas conductance resulted in strongly reduced overall graphene coverage with a smaller average grain size but with almost the same density as that of the graphene nuclei. Furthermore, the suppression of gas conductance leads to the formation of well-bounded graphene morphology instead of a dendritic morphology. In chapter 6, continuous graphene layer was grown on top of liquid Cu surface and grain boundaries were revealed by SEM (Scanning electron microscopy) and optical characterization via Cu oxidation. Hydrogen etch revealed the grain boundaries of graphene on liquid Cu easily. Small gaps exist between graphene islands even after few hours of growth time, thus, CH4 flux was increased at the final step of chemical vapor deposition growth in order to confirm the stitching of graphene islands. Hydrogen etch and optical characterization clearly demonstrated that graphene islands are uniform before and even after the merging of its graphene grains and tiny gaps between graphene islands were fully stitched by two-step growth method. Transmission electron microscopy images and diffraction pattern study revealed the importance of self-assembly. The resistance was measured by TLM (Transfer length measurement) pattern. Grain boundary resistance was considered to be negligible if two grains meet in the same direction without rotation of atomic lattice on liquid Cu, which has a great impact compared to typical grain boundary. In conclusion, novel graphene growth methods for direct formation on target substrate were suggested. Also, based on the fundamental understanding of nucleation and growth of graphene synthesis, two approaches are studied which are enlarging grain size and self-assembly. Graphene growth on catalytic metal surfaces is governed by heteronuclei effect, and overcoming way is self-assembly via growth on liquid catalyst according to this study.CHAPTER 1. Introduction 1.1. Graphene as a two-dimensional material 1.1.1. General overview of graphene 1.1.2. Physical properties of graphene 1.2. Alternative graphene growth methods 1.2.1. Reduction of graphene oxides 1.2.2. Epitaxial growth (sublimation of SiC) 1.2.3. Chemical vapor deposition 1.3. Understanding on graphene growth on Cu 1.3.1. Graphene synthesis on Cu vs. Ni 1.3.2. Unique aspects of graphene growth on Cu 1.3.3. Motivation for work: Transfer issue and polycrystalline nature References CHAPTER 2. Review on graphene growth on Cu 2.1. Introduction 2.2. Observation of growth kinetics 2.3. Surface treatment of Cu foil 2.4. Effect of growth temperature 2.5. Source gas feeding rate 2.6. Morphology evolution and hydrogen etching 2.7. Approaches for large single crystal graphene 2.7.1. Gas transport control 2.7.2. Seeded growth 2.7.3. Graphene growth on liquid Cu References CHAPTER 3. Direct graphene growth on target substrate: Metal-induced crystallization of a-C 3.1. Introduction 3.2. Experimental details 3.2.1. Deposition and sample preparation 3.2.2. Analysis of the film 3.3. Results and discussion 3.4. Summary and conclusions References CHAPTER 4. Direct graphene growth: Graphene formation by direct carbon source feeding on Si substrate 4.1. Introduction 4.2. Experimental details 4.3. Results and discussion 4.4. Summary and conclusions References CHAPTER 5. Gas transport control in graphene growth: Micro-meter scale gap jig effect 5.1. Introduction 5.2. Experimental details 5.3. Results and discussion 5.3.1. Jig effect on pre-annealing 5.3.2. Gas transport effect on graphene growth 5.3.3. Morphology evolution of graphene grains 5.4. Summary and conclusions References CHAPTER 6. Mesoepitaxy: Graphene growth on liquid Cu 6.1. Introduction 6.2. Experimental details 6.2.1. Graphene growth on liquid Cu and two-step growth 6.2.2. Transfer and VDP pattern fabrication 6.2.3. Liftoff and TLM patterning 6.3. Results and discussion 6.3.1. Structural study of graphene grown on liquid Cu 6.3.2. Revealing grain boundaries of graphene on liquid Cu 6.3.3. Two-step growth for continuous graphene 6.3.4. Electrical transport study 6.4. Summary and conclusions References CHAPTER 7. Summary, ConclusionsDocto
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