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    A study on Safe Operating Conditions of the Double Effect Desalination System

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    Global resources of freshwater are scarce, unevenly distributed and, in many cases, may require some form of treatment and handing. There are many types of desalination systems multi-effect desalination(MED), multi-stage flash desalination(MSF), reverse osmosis desalination(RO) and electro-dialysis(ED). Each type of desalination is limited and different according to surroundings, environments and conditions. With advanced technologies in scale control and material selection, Multi-effect is now playing a major role in seawater desalination systems. Multi-effect is inherently superior in economy, low specific electricity consumption, and embraces the possibilities of using lower grade materials to a better effect. In the present paper, safe operating conditions of the duel effect desalination system were examined by varying the temperatures of the hot water and the feed water. The duel effect desalination system was made by modifying a fresh water generator used in the ship. Pressures and temperatures were kept at a steady state. The effect of the feed water and hot water temperatures on fresh water generating rates were explained. The overall heat transfer rates of heat exchangers were reduced from raw data and the effect of inlet conditions on the overall heat transfer rates were described.Abstract ์‚ฌ์šฉ๊ธฐํ˜ธ ํ‘œ๋ชฉ์ฐจ ๊ทธ๋ฆผ๋ชฉ์ฐจ ์ œ 1 ์žฅ ์„œ ๋ก  1 1.1 ๋‹ด์ˆ˜์˜ ํ•„์š”์„ฑ 1 1.2 ๋‹ด์ˆ˜ํ™” ๋ฐฉ๋ฒ• 3 1.3 ์—ฐ๊ตฌ๋ชฉ์  5 ์ œ 2 ์žฅ ์‹คํ—˜์žฅ์น˜ ๋ฐ ์‹คํ—˜๋ฐฉ๋ฒ• 8 2.1 ์‹คํ—˜์žฅ์น˜ 8 2.1.1 ์ฃผ์š”๋ถ€ ์žฅ์น˜ 8 2.1.2 ์‹คํ—˜์žฅ์น˜ ๋ฐ ๋ถ€๋Œ€์‹œ์„ค 13 2.1.3 ์ธก์ •์žฅ๋น„ 17 2.2 ์‹คํ—˜๋ฐฉ๋ฒ• 21 ์ œ 3 ์žฅ ์‹คํ—˜๊ฒฐ๊ณผ ๋ฐ ๊ณ ์ฐฐ 24 3.1 ์ด๋ก ์  ๋ฐฐ๊ฒฝ 24 3.1.1 ์—ด์—ญํ•™์  ํ•ด์„ 24 3.1.2 ํ”Œ๋ž˜์‹ฑ ํ˜„์ƒ 27 3.1.3 ์—ด๊ด€๋ฅ˜์œจ 30 3.2 ๋‹ด์ˆ˜์žฅ์น˜์˜ ์‹คํ—˜๊ฒฐ๊ณผ ๋ฐ ๊ณ ์ฐฐ 31 3.2.1 ์•ˆ์ „ํ•œ ์ž‘๋™์ƒํƒœ์™€ ๋ถˆ์•ˆ์ „ํ•œ ์ž‘๋™์ƒํƒœ 31 3.2.2 ๊ณต๊ธ‰์ˆ˜ ์˜จ๋„๋ณ€ํ™” ์‹คํ—˜ 31 3.2.3 ๊ฐ€์—ด์˜จ์ˆ˜ ์˜จ๋„๋ณ€ํ™” ์‹คํ—˜ 32 ์ œ 4 ์žฅ ๊ฒฐ๋ก  43 ์ฐธ๊ณ ๋ฌธํ—Œ 4

    NBTI ์™€ FN ์ŠคํŠธ๋ ˆ์Šค์— ์˜ํ•œ Si/SiO2 ๊ณ„๋ฉด ํŠธ๋žฉ์˜ ์ƒ์„ฑ ๋ฐ ๋ณต์›์— ๋Œ€ํ•œ ํ†ตํ•ฉ์  ๋ชจ๋ธ๋ง

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    Understanding and modeling of the device degradations under gate stress such as the NBTI and FN stress are important for the reliability optimization of the logic device, the memory cell and its driver circuits. In the FN stress regime, the device is degraded by the anode hole injection (AHI) mechanism, where the interface traps as well as the oxide traps are generated by the hot holes. In case of the NBTI, the physical understanding and modeling of the relaxation phase have been relatively well studied even though there are controversies in the modeling of the surface reaction between the hydrogen and Si dangling bond. Also, some authors suggest that the underlying physics on the interface trap generation of NBTI and FN may be same while others not. In this context, we conduct a comparison study on the recovery of the interface traps in the relaxation phases after the FN and NBTI stress using both the experiments and the numerical simulation. In this way, the physical insight and modeling on the surface reaction can be obtained which will lead us to the practical reliability prediction about the degradation on threshold voltage (Vth), drain current (Id) and subthreshold swing (SS), etc. For the comparison study of the NBTI and FN stress, the existing models on the interface trap generation under the NBTI and FN stress are reviewed. From the literature, one can find that the generation and recovery models of the interface trap are highly controversial under the NBTI and FN conditions. In order to resolve the controversies and propose the unified model for the NBTI and FN stress, the experiments on the relaxation phases under both stress conditions are conducted. For the first time, we find the universality in the FN relaxation phase as same as the case of NBTI. The universality of the FN and NBTI stress infers that the underlying physics is similar between the NBTI and FN stress and thus the unification of the NBTI and FN model is possible. The conventional model of the NBTI relaxation, the reaction diffusion model, cannot completely explain our experimental results. In this dissertation, we developed a new simulation method to improve the conventional reaction diffusion model in its 1-dimentional analytic form. By adopting the Monte-Carlo particle method, we describe the Brownian motion of the hydrogen particle in the 3-dimentional space. After applying the Monte-Carlo method to the reaction diffusion model, the simulation results well explain the experimental parameters. Moreover, from the simulation study, the effects of the (hydrogen) capture cross-section of the unsaturated Si bond at the interface and the density of Si-H bond on the NBTI characteristics are investigated for the first time. The simulation framework proposed in this dissertation is expected to be useful in predicting the measurement results of both the NBTI and FN stress.MOSFET ์†Œ์ž์˜ ๊ฒŒ์ดํŠธ์— ๊ฐ€ํ•ด์ง€๋Š” ์ŠคํŠธ๋ ˆ์Šค์ธ NBTI์™€ FN ํ˜„์ƒ์„ ์ดํ•ดํ•˜๊ณ  ๋ชจ๋ธ๋งํ•˜๋Š” ๊ฒƒ์€ ๋กœ์ง ์†Œ์ž๋‚˜ ๋ฉ”๋ชจ๋ฆฌ ์…€๊ณผ ๊ทธ driver ํšŒ๋กœ์˜ ์‹ ๋ขฐ์„ฑ ์—ดํ™” ํ˜„์ƒ์„ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์— ์žˆ์–ด์„œ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. FN ์ŠคํŠธ๋ ˆ์Šค ์˜์—ญ์—์„œ๋Š” Anode Hole Injection (AHI) ํ˜„์ƒ์„ ํ†ตํ•ด ๊ณ„๋ฉดํŠธ๋žฉ๊ณผ ์‚ฐํ™”๋ง‰ ํŠธ๋žฉ์ด ๋ฐœ์ƒํ•ด ์†Œ์ž๊ฐ€ ์—ดํ™”๊ฐ€ ๋œ๋‹ค. NBTI ์˜์—ญ์—์„œ๋Š” ๊ทธ ์›์ธ์ด ๋˜๋Š” Si-H ๊ฒฐํ•ฉ์˜ ํ•ด๋ฆฌ ๋ฐ˜์‘์„ ๋ชจ๋ธ๋ง ํ•˜๋Š” ๊ฒƒ์— ์žˆ์–ด์„œ ์ƒ๋ฐ˜๋œ ์ฃผ์žฅ์ด ์•„์ง๊นŒ์ง€๋„ ์กด์žฌํ•œ๋‹ค. ๋˜ํ•œ NBTI์™€ FN์— ์˜ํ•ด์„œ ๊ณ„๋ฉด ํŠธ๋žฉ์ด ๋ฐœ์ƒํ•˜๋Š” ๋ฉ”์ปค๋‹ˆ์ฆ˜์ด ๋™์ผํ•œ์ง€์— ๋Œ€ํ•ด์„œ๋„ ์ƒ๋ฐ˜๋œ ์ฃผ์žฅ์ด ์กด์žฌํ•˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋งฅ๋ฝ์—์„œ, ์šฐ๋ฆฌ๋Š” FN๊ณผ NBTI ํ˜„์ƒ์„ ๋น„๊ตํ•˜๋Š” ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๋น„๊ต๋ฅผ ํ†ตํ•˜์—ฌ ์†Œ์ž์˜ ๋ฌธํ„ฑ์ „์••๊ฐ’, ๋“œ๋ ˆ์ธ ์ „๋ฅ˜, Subthreshold swing์˜ ์—ดํ™”๋ฅผ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ๋ฌผ๋ฆฌ์  ํ†ต์ฐฐ์„ ์–ป์„ ์ˆ˜ ์žˆ๊ณ  ํ‘œ๋ฉด ๋ฐ˜์‘์— ๋Œ€ํ•œ ๋ชจ๋ธ๋ง์„ ์ •ํ™•ํ•˜๊ฒŒ ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. FN๊ณผ NBTI ๋น„๊ต ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•˜์—ฌ ๋‘ ํ˜„์ƒ์˜ ํœด์‹ ๋‹จ๊ณ„(relaxation phase)์— ๋Œ€ํ•œ ๋น„๊ต ์ธก์ •์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ด๋Š” ์ŠคํŠธ๋ ˆ์Šค ๋‹จ๊ณ„(stress phase)์—์„œ๋Š” ์กฐ๊ฑด์ด ๋‹ค๋ฅด์ง€๋งŒ ํœด์‹ ๋‹จ๊ณ„์—์„œ๋Š” ๋ฐ”์ด์–ด์Šค ์กฐ๊ฑด์ด ๋‘˜ ๋‹ค ๊ฐ™๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ์ธก์ • ๊ฒฐ๊ณผ NBTI์—์„œ ์•Œ๋ ค์ง„ ๋ณดํŽธ์ (universal) ํœด์‹ ํŠน์„ฑ์ด FN ํœด์‹ ๋‹จ๊ณ„์—๋„ ๋™์ผํ•˜๊ฒŒ ์ ์šฉํ•  ์ˆ˜ ์žˆ์Œ์„ ๊ด€์ฐฐํ•˜์˜€๋‹ค. ๊ธฐ์กด์˜ NBTI ๋ชจ๋ธ์ธ ๋ฐ˜์‘-ํ™•์‚ฐ(RD) ๋ชจ๋ธ์„ ํ†ตํ•ด ์‚ดํŽด ๋ณด์•˜์„ ๋•Œ์— ์ด๋Ÿฌํ•œ ๋ณดํŽธ์  ํœด์‹ ํŠน์„ฑ์ด ์„ฑ๋ฆฝํ•œ๋‹ค๋Š” ๊ฒƒ์€ FN๊ณผ NBTI ๋ชจ๋‘ ์ˆ˜์†Œ๊ฐ€ ์‚ฐํ™”๋ง‰์—์„œ ํ™•์‚ฐํ•จ์— ์˜ํ•ด ์ œํ•œ๋˜๋Š” ๋ฐ˜์‘์ž„์„ ์‚ดํŽด๋ณผ ์ˆ˜๊ฐ€ ์žˆ์—ˆ๋‹ค. ํ•˜์ง€๋งŒ ํœด์‹ ๋‹จ๊ณ„์˜ ๊ฒฐ๊ณผ๋Š” ๋ฐ˜์‘-ํ™•์‚ฐ ๋ชจ๋ธ์„ ํ†ตํ•ด ์˜ˆ์ธกํ•œ ๊ฒƒ๊ณผ ์ •๋Ÿ‰์ ์œผ๋กœ๋Š” ์ฐจ์ด๊ฐ€ ๋‚˜๊ฒŒ ๋œ๋‹ค. ์ด๋Ÿฌํ•œ ํ˜„์ƒ์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด์„œ ์šฐ๋ฆฌ๋Š” ๊ธฐ์กด์˜ ์ผ์ฐจ์› ํ•ด์„์  ๋ชจ์–‘์„ ๊ฐ€์ง€๋Š” ๋ฐ˜์‘-ํ™•์‚ฐ ๋ชจ๋ธ์„ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ด๊ฒƒ์„ ์œ„ํ•˜์—ฌMonte-Carlo ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜์†Œ ์ž…์ž ๊ฐ๊ฐ์˜ ๋ธŒ๋ผ์šด ์šด๋™ (Brownian motion)์„ ์‚ผ์ฐจ์› ์ ์œผ๋กœ ๋‹ค๋ฃจ์—ˆ๊ณ  Si-H ๊ฒฐํ•ฉ์˜ ํ•ด๋ฆฌ ๋ฐ˜์‘ ๋˜ํ•œ Monte-Carlo ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ํ™•๋ฅ ์ ์œผ๋กœ ๊ตฌํ•  ์ˆ˜ ์žˆ๋Š” ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ธฐ๋ฐ˜์„ ๊ตฌ์ถ•ํ•˜์˜€๋‹ค. Monte-Carlo ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•œ ๊ฒฐ๊ณผ๋Š” ์ธก์ • ๊ฒฐ๊ณผ๋ฅผ ์ž˜ ์„ค๋ช…ํ•  ์ˆ˜ ์žˆ๋Š” ์˜์—ญ ๋‚ด์— ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ capture cross-section๊ณผ Si-H ๊ฒฐํ•ฉ์˜ ๋†๋„ ๋˜ํ•œ ํœด์‹ ๋‹จ๊ณ„์˜ ํŒŒ๋ผ๋ฏธํ„ฐ์— ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ์ค€๋‹ค๋Š” ๊ฒƒ์„ ์ฒ˜์Œ์œผ๋กœ ๋ฐํ˜€๋‚ผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•˜์—ฌ ๊ฐœ๋ฐœํ•œ ์‚ผ์ฐจ์› ์ˆ˜์†Œ ํ™•์‚ฐ-๋ฐ˜์‘ ์‹œ๋ฎฌ๋ ˆ์ดํ„ฐ๋Š” ์ฐจ์„ธ๋Œ€ ์†Œ์ž์˜ ์‹ ๋ขฐ์„ฑ ์—ดํ™”์— ๋Œ€ํ•œ ํ†ต๊ณ„์  ๋ถ„์„์„ ํ•˜๋Š”๋ฐ ์žˆ์–ด์„œ ์ค‘์š”ํ•˜๊ฒŒ ์“ฐ์ผ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.Chapter 1. Introduction 1_x000D_ 1.1 Motivation 1_x000D_ 1.2 Unified Reliability Modeling 4_x000D_ 1.2.1 Cause of the trap 4_x000D_ 1.2.2 Effect of the trap 6_x000D_ 1.3 Interface Trap Generation under NBTI and FN stress 8_x000D_ 1.3.1 FN stress 8_x000D_ 1.3.2 NBTI stress 10_x000D_ 1.3.3 Common View of NBTI and FN stress 11_x000D_ 1.4 Outline of the Dissertation 12_x000D_ Chapter 2. Degradation Models of the NBTI and FN stress 14_x000D_ 2.1 NBTI model 16_x000D_ 2.1.1 RD model 17_x000D_ 2.1.2 Well based model 21_x000D_ 2.2 FN model 22_x000D_ Chapter 3. Comparison experiments for NBTI and FN in the relaxation phase 24_x000D_ 3.1 Measurement Method for Relaxation Phase 24_x000D_ 3.1.1 Conventional NBTI and FN Measurement 24_x000D_ 3.1.2 Subthreshold Measurement for Relaxation Phase 28_x000D_ 3.2 Measurement Setup 31_x000D_ 3.2.1 Specification of the Device under Test (DUT) 31_x000D_ 3.2.2 Reliability Measurement Setup 31_x000D_ 3.3 Measurement Result 32_x000D_ 3.4 Data fitting using Universal Recovery Characteristics 40_x000D_ Chapter 4. Universal Recovery Characteristics based on the RD model framework 52_x000D_ 4.1 Physical modeling on the relaxation phase 52_x000D_ 4.1.1 Universal Recovery based on the RD model framework 53_x000D_ 4.1.2 Universal Recovery based on the RDD model framework 55_x000D_ 4.2 Discussion on the model parameters 56_x000D_ 4.2.1 Evaluation of relaxation models 56_x000D_ 4.2.2 Comparison of the FN and NBTI relaxation 58_x000D_ Chapter 5. Unified Model of the NBTI and FN Stress Based on the 3D MC Simulation 63_x000D_ 5.1 Monte-Carlo based Trap Simulation 63_x000D_ 5.2 Simulation Results 71_x000D_ Chapter 6. Hole Tunneling Model for Si-H Dissociation 79_x000D_ 6.1 Theoretical Model on Reaction Constant 80_x000D_ 6.2 Hole Profile of Inversion Layer 83_x000D_ 6.3 Simulation Results and Discussions 85_x000D_ Chapter 7. Conclusions 91_x000D_ 7.1 Summary 91_x000D_ 7.2 Future Works 92_x000D_ References 94_x000D_ _x000D_Docto

    Design and Evaluation of Service Oriented Architecture using Enneagram in Smart Home Context

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    In the smart home environment designed for many users, not only a single context, but also multi-context simultaneously exists, which continues to generate and perish with the passage of time. Therefore, this paper has designed a Service Oriented Architecture based MVC and composed a smart home scenario on the basis of the Enneagram principle, which can aware of conflict resolution between the RRC(Resource, Role, Context) and also which is able to respond effectively according to the scope of domain. The Enneagram, which provides a theoretical idea for designing the Service Oriented Architecture demanded under a smart home context, is able to provide an excellent prototype that well describes the relationship between the entirety and rotational process of an event. It is described in the Monad(0), Triad(9-3-6), and Heptad(7-1-4-2-8-5-7). These make contribution to the whole event, and Enneagram organizes these principles into a diagram. The Service Oriented Architecture suggested in this paper has been designed by taking into consideration the UPnP, OSGi, and SOA Tool Platform for eclipse platform. A service provider manages related kinds of services on an integrative basis from various sensors, puts each service in a WSDL/SOAP message, and registers them to the UDDI server of service mediator. Under the environment of an OSGi service platform, various context-aware services are dynamically being mapped from various sensorsand bundled services are available. By applying the modified ATAM, which is the service evaluation methodology for scenario-based architecture, this paper has made a utility tree from a business objective, designed the scenario for system quality, and thus providing a systematic approach to quality element. Therefore, if transaction throughput is 546 TPS and system availability is 98% and resuability COTS is 35%, then service requester satisfaction is 85.1% in maximum value set, so and if data latency is 2000 ms and system reliability is 1 Min and modify COTS is 1 Man/Day , then service requester satisfaction is 70.1% in minimun value set from ATAM while remaining stable other condition. Also this paper provides a useful idea for plug-in architecture modeling and for an eclipse-based OHP, which has adopted the HL7 and IHE standard by domain size or by stakeholder in the U-Healthcare field.existing services are changingnew services are being offered for the asking of users์ œ 1 ์žฅ ์„œ๋ก  = 1 1.1 ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ = 1 1.2 ์—ฐ๊ตฌ ๋ชฉ์  ๋ฐ ๋‚ด์šฉ = 3 ์ œ 2 ์žฅ ๊ด€๋ จ์—ฐ๊ตฌ = 7 2.1 ์—๋‹ˆ์–ด๊ทธ๋žจ๊ณผ ํผ์ง€์ •๋ณด์ด๋ก  = 7 2.2 ์ „์‚ฌ์  ๊ตฌ์กฐ = 16 2.3 ์„œ๋น„์Šค ์ƒ๋ช…์ฃผ๊ธฐ = 24 2.4 ์„œ๋น„์Šค์ง€ํ–ฅ ์•„ํ‚คํ…์ณ = 38 ์ œ 3 ์žฅ ์„œ๋น„์Šค์ง€ํ–ฅ ์•„ํ‚คํ…์ณ์˜ ์„ค๊ณ„ = 51 3.1 ์„œ๋น„์Šค์ง€ํ–ฅ ์•„ํ‚คํ…์ณ์˜ ๋ถ„์„ = 51 3.2 ์„œ๋น„์Šค์ง€ํ–ฅ ์•„ํ‚คํ…์ณ์˜ ํ’ˆ์งˆ์†์„ฑ = 55 3.3 ์—๋‹ˆ์–ด๊ทธ๋žจ์„ ์ด์šฉํ•œ ์„œ๋น„์Šค์ง€ํ–ฅ ์•„ํ‚คํ…์ณ์˜ ์„ค๊ณ„ = 61 3.4 ์Šค๋งˆํŠธํ™ˆ ์ปจํ…์ŠคํŠธ ์‹œ๋‚˜๋ฆฌ์˜ค ์„ค๊ณ„ = 73 ์ œ 4 ์žฅ ์„œ๋น„์Šค์ง€ํ–ฅ ์•„ํ‚คํ…์ณ์˜ ํ‰๊ฐ€ = 81 4.1 ํ‰๊ฐ€ ๋ฐฉ๋ฒ•๋ก  = 81 4.2 ์กฐ์‚ฌ ๋ฐ ๋ถ„์„ = 83 4.3 ์‹œํ—˜ ๋ฐ ๋ณด๊ณ  = 86 ์ œ 5 ์žฅ ๊ฒฐ๋ก  = 94 ์ฐธ๊ณ ๋ฌธํ—Œ = 95 ๋ถ€๋ก = 99 1. ์Šค๋งˆํŠธํ™ˆ์˜ ๊ฐœ์š” = 99 2. ์Šค๋งˆํŠธํ™ˆ ์ปจํ…์ŠคํŠธ ์™ธ์ถœ๋ชจ๋“œ์˜ ๋ฐ๋ชจ = 103 3. ATAM ํ‰๊ฐ€๋ฐฉ๋ฒ•๋ก ์˜ ๊ฐœ์š” = 107 ์ œ์•ˆ๋œ SOA ์š”์•ฝ๋ฌธ = 114 ๊ฐ์‚ฌ์˜ ๋ง์”€ = 11

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    (The)DONGLE gene encodes a phospholipase A1 involved in the initial step of jasmonin acid biosynthesis in Arabidopsis thaliana

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    Syntheses of 3`-Acetamido-and 3`-Mercaptoadenosine derivatives as potential Aโ‚ƒ Adenosine receptor agonist

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    An Analysis of the Educational Relationship in the Novel Dongโ€‘Uiโ€‘Boโ€‘Gam

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    ์†Œ์„ค ๋™์˜๋ณด๊ฐ์€ ํ•œ์˜ํ•™์„ ์ œ์žฌ๋กœ ๋“ฑ์žฅ์ธ๋ฌผ ์œ ์˜ํƒœ, ํ—ˆ์ค€, ์œ ๋„์ง€ ๊ฐ„์— ์ „๊ฐœ๋˜๋Š” ๊ฐˆ๋“ฑ๊ณผ ํฌ๋น„๋ฅผ ์„ฌ์„ธํ•˜๊ณ  ๋ฐ•์ง„๊ฐ ์žˆ๊ฒŒ ๊ทธ๋ ค๋‚ด๊ณ  ์žˆ๋‹ค. ํŠนํžˆ ์œ ์˜ํƒœ๋ฅผ ์Šค์Šน์œผ๋กœ ๋ชจ์‹  ํ—ˆ์ค€๊ณผ ์œ ๋„์ง€๊ฐ€ ๊ฒฝ์Ÿ์ ์œผ๋กœ ์˜์ˆ ์„ ์ตํžˆ๋Š” ๊ด€๊ณ„๋ฅผ ๋ฌ˜์‚ฌํ•œ๋‹ค. ์ด์—ฐ๊ตฌ๋Š” ์†Œ์„ค์˜ ์ค„๊ฑฐ๋ฆฌ๋ฅผ ๊ต์œก์˜ ๊ด€์ ์—์„œ ์ฃผ๋ชฉํ•˜์—ฌ ๋“ฑ์žฅ์ธ๋ฌผ ๊ฐ„์— ๊ต์œก์  ๊ด€๊ณ„๊ฐ€ ์–ด๋–ค ์–‘ํƒœ๋กœ ์ „๊ฐœ๋˜๋Š”์ง€๋ฅผ ์‚ดํŽด๋ณด์•˜ ๋‹ค. ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ์ฐธ๊ณ ๋กœ ๊ต์œก์  ๊ด€๊ณ„์˜ ํ˜•์„ฑ, ์œ ์ง€, ์ข…๊ฒฐ์— ํ•„์š”ํ•œ ์š”๊ฑด์„ ๋„์ถœํ•˜๊ณ , ๊ทธ์— ๋น„์ถ”์–ด ์†Œ์„ค์˜ ๋‚ด์šฉ์„ ํ•ด์„ํ•˜ ์˜€๋‹ค. ๊ต์œก์  ๊ด€๊ณ„๋ฅผ ์‹๋ณ„ํ•˜๊ธฐ ์œ„ํ•œ ์—ฐ๊ตฌ๋ฐฉ๋ฒ•์œผ๋กœ ์žฅ์ƒํ˜ธ์˜ ๊ต์œก๋ณธ์œ„๋ก ์„ ์ฃผ์š” ๋ถ„์„ํ‹€๋กœ ์‚ผ์•˜์œผ๋ฉฐ, ์†Œ์„ค ํ…์ŠคํŠธ์˜ ๋ถ„์„์„ ์œ„ํ•ด์„œ ํ•ด์„ํ•™์  ๋ฐฉ๋ฒ•์— ์˜๊ฑฐํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, ์œ ์˜ํƒœ์™€ ํ—ˆ์ค€์€ ๊ต์œก์  ๊ด€๊ณ„์˜ ์š”๊ฑด์— ๋ถ€ํ•ฉํ•œ ๋ฐ˜๋ฉด, ์œ ์˜ํƒœ์™€ ์œ ๋„์ง€์˜ ๊ด€๊ณ„๋Š” ๊ทธ๋ ‡์ง€ ๋ชปํ•˜์˜€์Œ์„ ์‹๋ณ„ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์†Œ์„ค ๋™์˜๋ณด๊ฐ์˜ ๋Œ€๋น„์  ์ „๊ฐœ๊ตฌ๋„๋Š” ์Šค์Šน-์ œ์ž ๊ด€๊ณ„๋ฅผ ๋‹ค๋ฃจ๋Š” ๋ฌธํ•™์ž‘ํ’ˆ์˜ ๋ชจํ‹ฐํ”„๋ฅผ ์žฌํ˜„ํ•ด์„œ ๋ณด์—ฌ์ค€๋‹ค. ์†Œ์„ค ๋™์˜๋ณด๊ฐ์„ ํ†ตํ•ด ๊ต์‚ฌ-ํ•™์ƒ ๊ฐ„์˜ ๊ด€๊ณ„๊ฐ€ ๊ต์œก์  ๊ด€๊ณ„๋กœ ๋‚˜์•„๊ฐ€๋Š” ๋ฐ ํ•„์š”ํ•œ ์š”๊ฑด์ด ๋ฌด์—‡์ธ์ง€๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด๋Š” ํ•™๊ต๋ฅผ ๋น„๋กฏํ•œ ์ƒํ™œ๊ณต๊ฐ„์—์„œ ์ง„ํ–‰๋˜๋Š” ๊ต์œก์  ๊ด€๊ณ„์— ๋งค์šฐ ์ค‘์š”ํ•œ ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•  ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค
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