48 research outputs found

    ๋‚ธ๋“œ ํ”Œ๋ž˜์‹œ ๋ฉ”๋ชจ๋ฆฌ ์‹ ๋ขฐ๋„ ํ–ฅ์ƒ์„ ์œ„ํ•œ ์‹ ํ˜ธ ์ฒ˜๋ฆฌ ๋ฐฉ๋ฒ• ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2014. 2. ์„ฑ์›์šฉ.The capacity of NAND flash memory has been continuously increased by aggressive technology scaling and multi-level cell (MLC) data coding. However, it becomes more challenging to maintain the current growth rate of the memory density mainly because of degraded signal quality of sub-20 nm NAND flash memory. This dissertation develops signal processing techniques to improve the signal reliability of MLC NAND flash memory. In the first part of this dissertation, we develop two threshold voltage distribution estimation algorithms to compensate the effect of program-erase (PE) cycling and charge loss in MLC NAND flash memory. The sensing directed estimation (SDE) utilizes the output of multi-level memory sensing to estimate the means and the variances of the threshold voltage distribution that is modeled as a Gaussian mixture. In order to reduce memory sensing overheads for the SDE algorithm, we develop a decision directed estimation (DDE) that uses error corrected bit patterns for more frequent updates of the model parameters. We also present a combined estimation scheme that employs both the SDE and the DDE approaches to minimize the number of memory sensing operations while maintaining the estimation accuracy. The effectiveness of the SDE and the DDE algorithms is evaluated by using both simulated and real NAND flash memory, and it is demonstrated that the proposed algorithms can estimate the statistical information of threshold voltage distribution accurately. The cell-to-cell interference (CCI) is one of the major sources of bit errors in sub-20 nm NAND flash memory and becomes more severe as the size of memory cell decreases. In the second part of this dissertation, we develop a CCI cancellation algorithm that is similar to interference cancellers employed in conventional communication systems. We first provide the experimental characterization of the CCI by measuring the coupling coefficients from actual NAND flash memory with a 26 nm process technology. Then, we present a CCI cancellation algorithm that consists of the coupling coefficient estimation and the CCI removal steps. To reduce the number of memory sensing operations, the optimal quantization schemes for the proposed CCI canceller are also studied. This dissertation also develops soft-information computation schemes in order to apply soft-decision error correction to NAND flash memory. The probability density function (PDF) of the CCI removed signal is quite different from that of the original threshold voltage, which can be modeled as a Gaussian mixture. Thus, computing soft-information, such as LLR (log likelihood ratio), with the CCI removed signal is not straightforward. We propose two soft-information computation schemes that combine CCI cancellation and soft-decision error correction. In the first approach, we derive a mathematical formulation for the PDF of the CCI removed signal and directly compute the LLR values by using it. In the second approach, CCI cancellation and soft-information computation are jointly conducted. Based on the intensive simulations, it is demonstrated that the reliability of NAND flash memory is significantly improved by applying the proposed signal processing algorithms as well as soft-decision error correction.1 Introduction 14 2 NAND Flash Memory Basics 19 2.1 Basics of NAND Flash Memory 19 2.1.1 NAND Flash Memory Structure 19 2.1.2 Multi-Page Programming 20 2.1.3 Cell-to-Cell Interference 22 2.1.4 Data Retention 23 2.2 Threshold Voltage Distribution of NAND Flash Memory and Signal Modeling 25 2.2.1 Threshold Voltage Distribution and Gaussian Approximation 25 2.2.2 Modeling of Threshold Voltage Signal 27 3 Threshold Voltage Distribution Estimation 31 3.1 Introduction 31 3.2 Sensing Directed Estimation of Threshold Voltage Distribution 33 3.2.1 Cost Function 34 3.2.2 Gradient Descent Method based Parameter Search 36 3.2.3 Levenberg-Marquardt Method based Parameter Search 38 3.2.4 Experimental Results 41 3.3 Decision Directed Estimation of Threshold Voltage Distribution 50 3.3.1 Basic Idea 51 3.3.2 Applying to Two-Bit MLC NAND Flash Memory 54 3.3.3 Combined Threshold Voltage Distribution Estimation 57 3.3.4 Error Analysis 58 3.3.5 Experimental Results 64 3.4 Concluding Remarks 70 4 Cell-to-Cell Interference Cancellation 71 4.1 Introduction 71 4.2 Direct Measurement of Coupling Coefficients 73 4.2.1 Measurement Procedure 74 4.2.2 Experimental Results 77 4.3 Least Squares Method based Coupling Coefficient Estimation 83 4.4 Multi-Level Memory Sensing Schemes for CCI Cancellation 87 4.5 Experimental Results 91 4.5.1 CCI Cancellation with Simulated NAND Flash Memory 91 4.5.2 CCI Cancellation with Real NAND Flash Memory 96 4.6 Concluding Remarks 97 5 Soft-Decision Error Correction in NAND Flash Memory 99 5.1 Introduction 99 5.2 Soft-Decision Error Correction without CCI Cancellation 101 5.3 Soft-Decision Error Correction with CCI Cancellation 104 5.3.1 Soft-Information Computation using PDF of CCI Removed Signal 104 5.3.2 Joint CCI Cancellation and Soft-Information Computation 110 5.3.3 Experimental Results 115 5.4 Concluding Remarks 118 6 Conclusion 120Docto

    OpenMP based Implementation of Recursive Digital Filters in Multi-core Systems

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    Direct parallel computation of recursive digital filtering equations is not allowed due to the dependency problem caused by feedback. An efficient parallel block processing program for recursive digital filtering equations is developed using OpenMP API for multi-core systems. This program can achieve the processing speed that is almost proportional to the number of cores.์ด ๋…ผ๋ฌธ์€ ์ง€์‹๊ฒฝ์ œ๋ถ€ ์ถœ์—ฐ๊ธˆ์œผ๋กœ ETRI์™€ ์‹œ์Šคํ…œ๋ฐ˜๋„์ฒด์‚ฐ์—…์ง„ํฅ์„ผํ„ฐ์—์„œ ์ˆ˜ํ–‰ํ•œ ITSoC ํ•ต์‹ฌ์„ค๊ณ„์ธ๋ ฅ์–‘์„ฑ์‚ฌ์—…๊ณผ ๊ต์œก๊ณผํ•™๊ธฐ์ˆ ๋ถ€์˜ ์žฌ์›์œผ๋กœ ํ•œ๊ตญํ•™์ˆ ์ง„ํฅ์žฌ๋‹จ์—์„œ ์ˆ˜ํ–‰ํ•˜๋Š” BK21 ํ”„๋กœ์ ํŠธ์˜ ์ง€์›์„ ๋ฐ›์•„ ์ˆ˜ํ–‰๋œ ์—ฐ๊ตฌ์ž…๋‹ˆ๋‹ค

    The Safety and the Pharmacokinetics and Pharmacodynamics of a Pegylated Interferon Alpha-2a Formulation, Dong-A's DA-3021

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    Background: Interferons (IFNs) are proteins made and released by lymphocytes in response to the presence of pathogens and used in the treatment of hepatitis B or C virus. The purpose of this study is to investigate the safety, pharmacokinetics and pharmacodynamics of a pegylated interferon alpha-2a formulation. Methods: This study was a randomized, open-label, 2-period, crossover design. Each group had 17 subjects who took 180โ€…โ€Šฮผg180\;{\mu}g of PEGASYS^ยฎ as a reference formulation and DA-3021 as a test formulation with a washout period of 21 days. Blood samples were obtained over 336 hours after the dose in each treatment period. Blood concentrations of interferon were analyzed using the enzyme-linked immunosorbent assay (ELISA). The primary pharmacokinetic parameters were Cmax and AUClastAUC_{last}. The pharmacodynamics were assessed by 2',5'-OAS (oligoadenylate synthetase) using a radioimmunoassay (RIA). The primary pharmacodynamic parameters were EmaxE_{max} and AUElastAUE_{last}. Results: Thirty four healthy male volunteers participated in the study and completed both treatment periods. The 90% confidence intervals for the geometric mean ratios of the pharmacodynamic parameters (test : reference drug) were 0.95-1.09 for AUElastAUE_{last} and 0.92-1.05 for EmaxE_{max}, lying within the bioequivalence range of 0.8-1.25, while the pharmacokinetics parameters were not included within the equivalence range. Most common adverse events were flu-like symptoms, with no serious adverse event reported. Conclusion: The results assessed by the bioequivalence criterion indicated that the pharmacodynamics of DA-3021 was equivalent to that of PEGASYSยฎ.ope

    Development of a Pharmacokinetic Interaction Model for Co-administration of Simvastatin and Amlodipine

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    A model for drug interaction between amlodipine and simvastatin was developed using concentration data obtained from a multiple-dose study consisting of single- and co-administration of amlodipine and simvastatin conducted in healthy Koreans. Amlodipine concentrations were assumed to influence the clearance of simvastatin and simvastatin acid, which as well as the oral bioavailability was allowed to vary depending on genetic polymorphisms of metabolic enzymes. Covariate effects on drug concentrations were also considered. The developed model yielded a 46% increase in simvastatin bioavailability and a 13% decrease in simvastatin clearance when amlodipine 10 mg was co-administered. When CYP3A4/5 polymorphisms were assessed by a mixture model, extensive metabolizers yielded a decrease in simvastatin bioavailability of 81% and a decrease in simvastatin clearance by 4.6 times as compared to poor metabolizers. Sixty percent of the usual dose was the optimal simvastatin dose that can minimize the interaction with amlodipine 10 mg. Age and weight had significant effects on amlodipine concentrations. In conclusion, this study has quantitatively described the pharmacokinetic interaction between simvastatin and amlodipine using a modeling approach. Given that the two drugs are often prescribed together, the developed model is expected to contribute to more efficient and safer drug treatment when they are co-administered.ope

    Moderating Role of Leader's Self-Concern or Other-Orientation

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ฒฝ์˜๋Œ€ํ•™ ๊ฒฝ์˜ํ•™๊ณผ,2020. 2. ์œค์„ํ™”.์ตœ๊ทผ ๊ฐ€์†ํ™”๋˜๋Š” ์‹œ์žฅ๊ฒฝ์Ÿ, ๋ถˆํ™•์‹คํ•œ ์™ธ๋ถ€ํ™˜๊ฒฝ, ์‹ฌํ™”๋˜๋Š” ์—…๋ฌด์˜ ๋ณต์žก์„ฑ ๋ฐ ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์œผ๋กœ ์ธํ•ด ์กฐ์ง์€ ๊ตฌ์กฐ์ ์ธ ๋ณ€ํ™”๋ฅผ ์ง๋ฉดํ•˜๊ณ  ์žˆ๋‹ค. ํ˜„๋Œ€ ์กฐ์ง์€ ํƒˆ ๊ด€๋ฃŒ์ œ ๋ฐ ๋ถ„ํ™”๋œ ํ•˜์œ„๊ตฌ์กฐ, ๋„คํŠธ์›Œํฌ ๊ธฐ๋ฐ˜ ๊ตฌ์กฐ ๋“ฑ์œผ๋กœ์˜ ๋ณ€ํ™”๋ฅผ ํ†ตํ•ด ์ตœ๋Œ€ ํšจ์œจ์„ฑ์„ ์ทจํ•˜๊ณ ์ž ํ•˜๋ฉฐ, ์ด๋Ÿฌํ•œ ์กฐ์ง์˜ ๊ตฌ์กฐ์ ์ธ ๋ณ€ํ™”๋Š” ์กฐ์ง์ด ๋ณ€ํ™” ๋ฌด์Œํ•œ ์™ธ๋ถ€ํ™˜๊ฒฝ์— ํšจ๊ณผ์ ์œผ๋กœ ์ ์‘ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•œ๋‹ค. ๋˜ํ•œ, ํ˜„๋Œ€ ์กฐ์ง์€, ๊ตฌ์กฐ์ ์ธ ์œ„๊ณ„์งˆ์„œ๋ฅผ ๊ทน๋ณตํ•˜๊ณ  ์ด๋ฅผ ํ†ตํ•ด ๊ตฌ์„ฑ์›๋“ค์—๊ฒŒ ์ž์œจ์„ฑ์„ ๋ถ€์—ฌํ•จ์œผ๋กœ์จ ์ง€์† ๊ฐ€๋Šฅํ•œ ๊ฒฝ์Ÿ์šฐ์œ„์˜ ์›์ฒœ์ธ ๊ตฌ์„ฑ์›์˜ ์ฐฝ์˜์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ์ด๋ฒˆ ์—ฐ๊ตฌ์—๋Š” ์ด๋Ÿฌํ•œ ์‚ฌํšŒ๋ณ€ํ™”์— ์กฐ์ง์ด ํšจ๊ณผ์ ์œผ๋กœ ์ ์‘ ํ•  ์ˆ˜ ์žˆ๋Š” ํ•ต์‹ฌ์ ์ธ ๋ฆฌ๋”์‹ญ์œผ๋กœ ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ์„ ์„ ์ •ํ•˜์˜€๋‹ค. ์™œ๋ƒํ•˜๋ฉด, ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ์ด ๊ตฌ์„ฑ์›์—๊ฒŒ ๊ถŒ๋ ฅ์„ ๋ฐฐ๋ถ„ํ•˜๊ณ , ์ฑ…์ž„๊ฐ์„ ๋ถ€์—ฌํ•˜๋ฉฐ, ์ง๋ฌด์˜ ์ž์œจ์„ฑ ๋ณด์žฅ์„ ํ†ตํ•ด ๊ตฌ์„ฑ์›์„ ๋ณด๋‹ค ์ฐฝ์˜์ ์ธ ํ™œ๋™์ด ๊ฐ€๋Šฅํ•˜๋„๋ก ์—ฌ๊ฑด์„ ์กฐ์„ฑํ•ด์ฃผ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ์ด๋ฒˆ ์—ฐ๊ตฌ์—์„œ๋Š” ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ์ด ๊ตฌ์„ฑ์›์˜ ์ฐฝ์˜์  ์—…๋ฌด์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ์™€, ์‹ฌ๋ฆฌ์ ์ธ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•ด์„œ ๋ณธ๊ฒฉ์ ์œผ๋กœ ๋‹ค๋ฃจ์—ˆ๋‹ค. ๋จผ์ €, ๊ตฌ์„ฑ์›์ด ์ž์›์ด ์ถฉ๋ถ„ํ•˜๋‹ค๊ณ  ๋Š๋ผ๋ฉด ์‹ฌ๋ฆฌ์ ์ธ ์•ˆ์ •๊ฐ์„ ๋Š๋ผ๊ฒŒ ๋˜๊ณ  ์ด๊ฒƒ์ด ์ฐฝ์˜์ ์ธ ์—…๋ฌด์„ฑ๊ณผ๋กœ ์ด์–ด์ง„๋‹ค๋Š” ์„ ํ–‰์—ฐ๊ตฌ๋“ค๊ณผ, ๊ตฌ์„ฑ์›์ด ์ƒ์‚ฌ์™€ ์ข‹์€ ์‚ฌํšŒ์  ๊ตํ™˜๊ด€๊ณ„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฉด ๊ทธ์— ๋Œ€ํ•œ ์˜๋ฌด๊ฐ์œผ๋กœ ๋ณด๋‹ค ์ฐฝ์˜์ ์ธ ์„ฑ๊ณผ๋ฅผ ๋‚ธ๋‹ค๋Š” ์„ ํ–‰์—ฐ๊ตฌ๋“ค์ด ๋‹ค๋ฅธ ๋ฆฌ๋”์‹ญ์ด๋‚˜ ํ˜น์€ ์ƒ์‚ฌ์˜ ๊ฐœ์ธ์ ์ธ ํŠน์„ฑ๊ณผ๋Š” ํ•จ๊ป˜ ์—ฐ๊ตฌ๋˜์—ˆ๋‹ค. ํ•˜์ง€๋งŒ, ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ๊ณผ ๊ตฌ์„ฑ์›์˜ ์‹ฌ๋ฆฌ์  ์•ˆ์ •๊ฐ ๋ฐ ์ƒ์‚ฌ์— ๋Œ€ํ•œ ์˜๋ฌด๊ฐ๊ณผ์˜ ์ •์ ์ธ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋‹ค๋ฃฌ ์—ฐ๊ตฌ๋Š” ์—†์—ˆ๋‹ค. ์ด์— ์ด๋ฒˆ ์—ฐ๊ตฌ์—์„œ๋Š” ์ƒ์‚ฌ์˜ ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ์ด ๊ตฌ์„ฑ์›์—๊ฒŒ ์ž์›์„ ์ œ๊ณตํ•˜๊ณ , ์ข‹์€ ์‚ฌํšŒ์  ๊ตํ™˜๊ด€๊ณ„๋ฅผ ํ˜•์„ฑํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๊ตฌ์„ฑ์›์˜ ์ฐฝ์˜์  ์—…๋ฌด์„ฑ๊ณผ์™€ ์ •์ ์ธ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ฐ€์ง€๋Š”๋ฐ, ์ด ์ƒ๊ด€๊ด€๊ณ„์— ๋งค๊ฐœ๋ณ€์ˆ˜๋กœ ๊ตฌ์„ฑ์›์˜ ์‹ฌ๋ฆฌ์  ์•ˆ์ •๊ฐ๊ณผ ์ƒ์‚ฌ์— ๋Œ€ํ•œ ์˜๋ฌด๊ฐ์„ ๊ฑฐ์นœ๋‹ค๋Š” ์‹ฌ๋ฆฌ์ ์ธ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•ด ๋ฐํžˆ๊ณ ์ž ํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ตœ๊ทผ ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ์ด ํ•ญ์ƒ ์—…๋ฌด์„ฑ๊ณผ๋“ค๊ณผ ์ •์ ์ธ ์ƒ๊ด€์„ ์ง€๋‹ˆ์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒฐ๊ณผ๋“ค์ด ๋„์ถœ๋˜๊ณ  ์žˆ๋Š”๋ฐ, ์ด์— ๋Œ€ํ•œ ํ•ด์„์„ ๊ธฐ์กด ์—ฐ๊ตฌ์ž๋“ค์ด ๊ตฌ์„ฑ์›์˜ ๊ฐœ์ธ์ ์ธ ํŠน์„ฑ์— ์ง‘์ค‘ํ•ด ๋ถ„์„ํ•œ ๊ฒƒ๊ณผ ๋‹ฌ๋ฆฌ, ์ด๋ฒˆ ์—ฐ๊ตฌ์—์„œ๋Š” ์ƒ์‚ฌ์˜ ๊ฐœ์ธ์ ์ธ ํŠน์„ฑ์— ๋Œ€ํ•œ ๊ตฌ์„ฑ์›์˜ ์ธ์‹์ด ์ •์ , ํ˜น์€ ๋ถ€์  ์กฐ์ ˆ๋ณ€์ˆ˜๋กœ ์ž‘์šฉํ•˜์—ฌ ํ•ญ์ƒ ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ์ด ์—…๋ฌด์„ฑ๊ณผ์™€ ์šฐ์ƒํ–ฅ ์„ ํ˜• ๊ด€๊ณ„๋ฅผ ๊ฐ€์ง€์ง€๋Š” ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์„ ๋ฐํžˆ๊ณ ์ž ํ•˜์˜€๋‹ค. ํŠนํžˆ, ์ด๋ฒˆ ์—ฐ๊ตฌ๋Š” ์ƒ์‚ฌ์˜ ์ž๊ธฐ์ง€ํ–ฅ ๋ฐ ํƒ€์ธ์ง€ํ–ฅ์ด ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ์กฐ์ ˆํšจ๊ณผ๋ฅผ ํ™•์ธํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฒˆ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ์— ์žˆ๋Š” ์—ฌ๋Ÿฌ ์‚ฐ์—…์— ์ข…์‚ฌํ•˜๋Š” ๋ฆฌ๋”์™€ ๊ตฌ์„ฑ์›์„ 1๋Œ€1๋กœ ๋Œ€์‘์‹œ์ผœ ๋ฐ์ดํ„ฐ๋ฅผ ํ™•๋ณดํ•˜์˜€์œผ๋ฉฐ, ํ•ด๋‹น ๊ธฐ์—…์—๋Š” ๊ณต๊ธฐ์—…๊ณผ ์‚ฌ๊ธฐ์—…์ด ๋ชจ๋‘ ํฌํ•จ๋˜์—ˆ๋‹ค. ์œ„๊ณ„์  ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ, ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ๊ณผ ๊ตฌ์„ฑ์›์˜ ์‹ฌ๋ฆฌ์  ์•ˆ์ •๊ฐ, ์ƒ์‚ฌ์— ๋Œ€ํ•œ ์˜๋ฌด๊ฐ์€ ํ†ต๊ณ„์ ์œผ๋กœ ๋งค์šฐ ์œ ์˜๋ฏธํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์˜€๊ณ , ์œ„๊ณ„์  ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ ์˜ˆ์ƒ๊ณผ๋Š” ๋‹ค๋ฅด๊ฒŒ ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ๊ณผ ๊ตฌ์„ฑ์›์˜ ์ฐฝ์˜์  ์—…๋ฌด์„ฑ๊ณผ๋ฅผ ๊ตฌ์„ฑ์›์˜ ์ƒ์‚ฌ์— ๋Œ€ํ•œ ์˜๋ฌด๊ฐ๊ณผ ๊ตฌ์„ฑ์›์˜ ์‹ฌ๋ฆฌ์  ์•ˆ์ •๊ฐ์ด ๋งค๊ฐœํ•œ๋‹ค๋Š” ๊ฐ€์„ค์€ ํ™•์ธ๋˜์ง€ ์•Š์•˜๋‹ค. ์ด์— ์ถ”๊ฐ€์ ์œผ๋กœ ๊ฒฝ๋กœ๋ถ„์„์„ ์‹ค์‹œํ•œ ๊ฒฐ๊ณผ, ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ์ด ์ฐฝ์˜์  ์—…๋ฌด์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์ง์ ‘ํšจ๊ณผ๊ฐ€ ๊ธฐ๋Œ€ํ–ˆ๋˜ ์ˆ˜์ค€๋ณด๋‹ค ์ปค์„œ ๋งค๊ฐœํšจ๊ณผ๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜์ง€ ์•Š์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ ์กฐ์ ˆํšจ๊ณผ ์—ญ์‹œ ์˜ˆ์ƒ๊ณผ๋Š” ๋‹ค๋ฅด๊ฒŒ ์ƒ์‚ฌ์˜ ํƒ€์ธ์ง€ํ–ฅ์ด ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ๊ณผ ์ƒ์‚ฌ์— ๋Œ€ํ•œ ์˜๋ฌด๊ฐ ์‚ฌ์ด์—๋งŒ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ์กฐ์ ˆํšจ๊ณผ๋ฅผ ๋ณด์ด๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๊ฐ€ ์ œ๊ณตํ•˜๋Š” ์ด๋ก ์  ๊ธฐ์—ฌ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ๋กœ, ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ์ด ๋ณด์—ฌ์ฃผ๋Š” ์—…๋ฌด์„ฑ๊ณผ์™€์˜ ์ƒ๋ฐ˜๋œ ๊ด€๊ณ„์— ๋Œ€ํ•ด์„œ ์ƒˆ๋กœ์šด ํ•ด์„์„ ์ œ๊ณตํ•˜์˜€์œผ๋ฉฐ, ์‹ฌ๋ฆฌ์  ์•ˆ์ •๊ฐ ๋ฐ ์ƒ์‚ฌ์— ๋Œ€ํ•œ ์˜๋ฌด๊ฐ๊ณผ์˜ ์ •์ ์ธ ์ƒ๊ด€์„ ์ œ๊ณตํ•จ์œผ๋กœ์จ ์ž„ํŒŒ์›Œ๋ง ๋ฆฌ๋”์‹ญ ์—ฐ๊ตฌ์— ๊ธฐ์—ฌํ•˜์˜€๋‹ค. ๋‘˜์งธ๋กœ, ๊ธฐ์กด ์—ฐ๊ตฌ๋“ค์—์„œ ์—ฐ๊ตฌ์˜ ์ง์ ‘์ ์ธ ๋ณ€์ˆ˜๋กœ ์‚ฌ์šฉํ•˜์ง€ ์•Š๊ณ  ์ด๋ก ์„ ์„ค๋ช…ํ•˜๋Š” ๋ฐ์— ๊ฐ„์ ‘์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋˜ ์˜๋ฌด๊ฐ์ด๋ผ๋Š” ๋ณ€์ˆ˜๋ฅผ ์ง์ ‘ ์ธก์ •ํ•˜์—ฌ ์‹ค์ฆ์ ์œผ๋กœ ํ™œ์šฉํ•˜์˜€๋‹ค. ์…‹์งธ๋กœ, ์ž๊ธฐ์ง€ํ–ฅ๊ณผ ํƒ€์ธ์ง€ํ–ฅ์˜ ๋ณ€์ˆ˜์˜ ๊ด€๊ณ„๋ฅผ ํ™•์ธํ•˜์˜€๊ณ , ๋‘ ๋ณ€์ˆ˜๊ฐ„์˜ ๊ด€๊ณ„์— ๋Œ€ํ•˜์—ฌ ์„ค๋ช…ํ•˜์˜€๋˜ ๊ฒฝ์Ÿ ๋ฐ ํ˜‘๋ ฅ์ด๋ก ์— ์‹ค์ฆ์  ๊ทผ๊ฑฐ๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋ถˆ์„ฑ์‹คํ•œ ์‘๋‹ต์„ ์ œ์™ธํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•๋ก ์  ์‹ค์ฒœ์„ ํ†ตํ•˜์—ฌ, ํ™œ์šฉํ•œ ๋ฐ์ดํ„ฐ์˜ ์งˆ์„ ๋†’์ด๊ธฐ ์œ„ํ•œ ์—ฐ๊ตฌ๋ฅผ ์‹ค์ฆ์ ์œผ๋กœ ์ ์šฉํ•˜์˜€๋‹ค๋Š” ๊ฒƒ์ด๋‹ค.In order to flexibly cope with dramatic external changes triggered by turbulent environments, accelerating world market competition, increasing task complexity and technology development, work organizations should accept the changing trend of organizational structures. They adapt to de-bureaucratized, flattered, and network-based organization structure to maximize work efficiency. Given such changes in the organizational structure, granting job autonomy, responsibilities, and power to subordinates become a key factor of settling in fast changing environment and maintaining sustainable competitive advantage. Empowering leadership enables organizations to keep up with fast changing environments by allocating power, authorizing responsibilities, and granting job autonomy to subordinates. And this empowerment eventually becomes a source of creativity. In the present study I demonstrated the psychological mechanism of empowering leadership on subordinates creative performance. Giving job resources and constructing good social exchange relationships have a positive relationship with subordinates creative performance. Also, according to conservation of resources theory and social exchange theory, many antecedent researches have already demonstrated that these traits of leadership have a positive effect on subordinates psychological safety and felt obligation to supervisor. Nonetheless, previous studies did not directly test the positive relationship between empowering leadership and subordinates psychological safety and felt obligation to supervisor. To overcome such a research gap, in the present study, I demonstrated the psychological mechanism between empowering leadership and subordinates creative performance which is mediated by subordinates psychological safety and felt obligation to supervisor using conservation of resources theory and social exchange theory. Also, recently some studies have focused on curvilinear and mixed results of the empowering leadership, and they mostly focused on subordinates individual traits. In this study, I focused on leaders individual traits and subordinates perception is another key of mixed results of empowering leadership. This study suggested that subordinates perception of their leaders other-orientation and self-concern could be a positive or negative moderator between empowering leadership and mediating variables. A sample of 161 leader and member dyads were collected from government-owned enterprises and privately-owned enterprises which are located in Republic of Korea in diverse industries. The hierarchical regression and path analysis results showed that empowering leadership has a positive relationship with subordinates psychological safety and felt obligation to supervisor. However, unexpectedly the positive relationship between empowering leadership and subordinates creative performance was not mediated by psychological safety or felt obligation to supervisor. To demonstrate these unexpected results, this study conducted path analysis. I made two path analysis models for comparison; study model and a modified study model which excludes the main effect between empowering leadership and subordinates creative performance. From this comparison, I found that direct effect between empowering leadership and creative performance is unexpectedly significant which leads to unexpected study results of mediating effects. Also, only subordinates perception of leaders other-orientation had a statistically marginal moderating effect between empowering leadership and felt obligation to supervisor. These findings contribute to organizational behavior literature in the following ways. First, this study expands our understanding of empowering leadership by suggesting its positive effect on subordinates psychological safety and felt obligation to supervisor. This study also suggests new perspectives to mixed result of empowering leadership by focusing on subordinates perception of leaders individual traits and attribution of leaders empowering leadership motive. Second, this study used felt obligation as a study variable and provided empirical data for felt obligation literature. Third, this study not only shows the moderating effect of leaders other-orientation between empowering leadership and felt obligation to supervisor, but also demonstrates that self-concern and other-orientation are not bi-polar concepts. Additionally, this study provided empirical basis for theory of cooperation and competition. Lastly, this study used bogus items and self-reporting method in order to identify careless responses and exclude them from study data. By using these methods of screening careless responses, this study used strict study data and contributed to the literature of data screening by providing empirical data. Despite some methodological limitations and unexpected study results, these findings suggest reconcile the inconsistent findings on empowering leadership by presenting new psychological mechanisms of psychological safety and felt obligation to supervisor and provide practical implications for leaders. I hope this study invigorates future research on empowering leadership and antecedent of psychological safety and felt obligation.โ… . INTRODUCTION 1 โ…ก. THEORETICAL BACKGROUND 5 1. Empowering Leadership 5 2. Psychological Safety 10 3. Felt Obligation 13 4. Self-concern and Other-orientation 15 โ…ข. HYPOTHESIS DEVELOPMENT 18 1. The Main Effect between Empowering Leadership and Creativity 18 2. The Mediating Mechanism of Psychological Safety 18 3. The Mediating Mechanism of Felt Obligation 22 4. The Moderating Role of Self-concern and Other-orientation 26 โ…ฃ. METHODS 32 1. Sample and Procedure 32 2. Measures 33 3. Analytical Strategy 35 โ…ค. RESULTS 38 โ…ฅ. POST-HOC STUDY 58 โ…ฆ. DISCUSSION 64 1. Summary of Study Results 64 2. Theoretical and Practical Implications 66 3. Limitations and Directions for Future Research 70 โ…ง. CONCLUSION 72 REFERENCES 73 APPENDIX 89 ABSTRACT (IN KOREAN) 93Maste

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    Thesis(doctors) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๋†์ƒ๋ช…๊ณตํ•™๋ถ€, 2009.8.Docto

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    Dept. of Medical Science/๋ฐ•์‚ฌType 2 diabetes mellitus (T2DM) is a progressive disease. Decline in ฮฒ-cell function, increase in insulin resistance with concomitant increase in fasting plasma glucose are the natural sequelae of T2DM. Although some pharmacotherapies for patients with type 2 diabetes mellitus have shown to slow the rate of progression or improve disease status, none of them has been proven to halt disease progression. Nevertheless, based on meta-analysis of existing data, it is hoped that more intensive treatment compared to standard glycemic control would signi๏ฌcantly reduce coronary events without a parallel increase in mortality and morbidity. In such regards, disease progression of T2DM might be controlled by adopting proper treatment strategies. Pharmacometrics is a cutting-edge area of clinical pharmacology which is defined as the science that quantifies drug action, disease progression and patient information to aid efficient drug development, regulatory decision, and treatment in actual clinical practice. A disease model, represented by baseline disease status, natural disease history and drug (and placebo) response, describes the time course of disease progression, as measured by biomarkers or clinical outcomes, segregated from the drug response. The purpose of this study is to develop a disease progression model for Korean patients with T2DM and to apply the developed model as a supportive tool to designing an optimal treatment regimen in this clinical population using NONMEM.A total of 347 new or established patients who visited Severance hospital for the first time from 2006 to 2012 were retrospectively investigated after screening 888 patients. The patients were prescribed 0 to 3 kinds of oral hypoglycemic agents (OHAs) at first visit according to their disease status by endocrinology specialists. The primary endpoints measured were fasting plasma glucose (FPG, mmol/L) and glycated hemoglobin (HbA1c, %). We performed the analyses according to the intention-to-treat principle. Disease progression was modeled using the natural history and drug effect influencing the baseline (โ€œoffsetโ€) or the progress rate (โ€œslopeโ€), or both. The constant, linear, simple Emax, sigmoid Emax and power models were evaluated to describe the treatment effect. The concept of effect compartment was applied to explain the delay in time course between pharmacokinetic steady state and pharmacodynamic steady state. The number of OHAs was incorporated into the structural model. Next, stepwise covariate model building was performed. The relationship between the structural parameters and the classes of the OHAs were investigated in this step. The final model was evaluated by the visual predictive check (VPC) for 1000 simulations. The median age of eligible patients (185 males, 162 females) was 61 years (19 โ€“ 85). Metformin was most frequently prescribed followed by sulfornylureas. The greater the number of OHA classes prescribed, the faster were the dropout rates. The number of patients without drug prescription was 19 and these patients were excluded from the population analysis because they were not suitable candidates for a placebo effect group. A total of 328 patients were prescribed 1 to 3 classes of OHAs. The number of OHAs positively correlated with the level of FPG or HbA1c acquired from initial laboratory tests. Linear models for offset effect and constant model for slope effect were incorporated into the final disease progression model for FPG and HbA1c. FPG and HbA1c increased naturally 0.197 mmol/L/year (3.55 mg/dL/year) and 0.181%/year, respectively. The amplitude of offset effect increased with the number of prescribed drugs in both FPG and Hb1Ac, though for HbA1c, there were little differences between 2 drugs and 3 drugs. The equilibration half-lives for offset effect were 14 days and 35 days for FPG and HbA1c, respectively. Therefore, it took around 55 to 69 days and 140 to 175 days for FPG and HbA1c, respectively to reach pharmacokinetic and pharmacodynamic equilibrium state. The disease progression rates of the Korean patients with type 2 diabetes mellitus who visited Severance hospital were similar to those of western patients, with rates for fasting plasma glucose and glycated hemoglobin 0.039 to 0.31 mmol/L and 0.07 to 0.24 %/L, respectively. Fasting plasma glucose decreased faster than glycated hemoglobin at the beginning of treatment. Treatment effect decreased inversely proportional to diabetes duration. The greater the number of prescribed drugs, the bigger was the offset effect. I will build disease progression model with greater utility after undertaking further studies.ope
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