67 research outputs found

    Studies on prediction of SPS1 gene function and microRNA transcriptional regulatory element by bioinformatical analysis

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ˜‘๋™๊ณผ์ • ์ƒ๋ฌผ์ •๋ณดํ•™์ „๊ณต, 2012. 8. ์ด๋ณ‘์žฌ.Bioinformatics is an important area to analyze the massive biological data and predict the biological meanings using computational and statistical methods. Since the massive and highly qualified data have been accumulated by development of microarray technology, researches for finding biological meanings through predicting gene functions and transcriptional regulatory elements by using bioinformatical approaches are actively progressed. In these studies, we show the predicted and confirmed results for gene function and transcriptional regulatory element through two examples, selenophosphate synthetase 1 (SPS1) and microRNA genes. For example predicting gene function, we used SPS1 which functions are unknown yet. There are two selenophosphate synthetases (SPSs) in higher eukaryotes, SPS1 and SPS2. Of these two isotypes, only SPS2 catalyzes selenophosphate synthesis. Although SPS1 does not contain selenophosphate synthesis activity, it was found to be essential for cell growth and embryogenesis. The function of SPS1, however, has not been elucidated. Using microarray data from obtained SPS1 knockdown, differentially expressed genes were identified using two-way analysis of variance methods and clustered according to their temporal expression pattern. Gene ontology analysis was performed against differentially expressed genes and gene ontology terms related to vitamin B6 biosynthesis were found to be significantly affected at the early stage (day 3). Interestingly, genes related to defense and amino acid metabolism were affected at the later stage (day 5) following knockdown. Levels of pyridoxal phosphate, an active form of vitamin B6, were decreased by SPS1 knockdown. Treatment of SL2 cells with an inhibitor of pyridoxal phosphate synthesis resulted in both a similar pattern of expression as that found by SPS1 knockdown and the formation of megamitochondria, which is the major phenotypic change observed by SPS1 knockdown. These results indicate that SPS1 regulates vitamin B6 synthesis, which in turn impacts various cellular systems such as amino acid metabolism, defense and other important metabolic activities. For example for predicting transcriptional regulatory elements, we selected miRNA genes. miRNAs are important post-transcriptional regulators of various biological processes. Although our knowledge of miRNA expression and regulation has increased considerably in recent years, the regulatory elements for miRNA gene expression, especially for intergenic miRNAs, are not fully understood. We identified the differentially methylated regions (DMRs) occurring 1000 bp upstream from all miRNAs in human neuroglioma cells using microarrays and discovered a unique sequence motif C[N]6CT. This motif was preferentially located within 400 bp or from 800โ€“1000 bp upstream of the intergenic miRNA start, corresponding to the highly methylated region. Interestingly, treatment of cells with a methyl transferase inhibitor (5-aza-2-deoxycytidine, DAC) significantly increased expression of miRNA genes with a high frequency of the C[N]6CT motif in DMRs. Statistical analysis showed that the frequency of the C[N]6CT motif in DMRs is highly correlated with intergenic miRNA gene expression, suggesting that C[N]6CT motifs associated with DNA methylation regions play a role as regulatory elements for intergenic miRNA gene expression.ABSTRACT ..................................................................................................... i TABLE OF CONTENTS ............................................................................... iv LIST OF FIGURES ....................................................................................... viii LIST OF TABLES ....................................................................................... x CHAPTER 1. LITERATURE REVIEW ....................................... 1 1. BIOINFORMATICAL APPROACHES FOR EXPRESSION DATA 2 1.1. DNA microarray technology ..................................................................... 2 1.2. Applications of microarray ........................................................................ 5 1.3. Microarray data analysis ........................................................................... 6 1.3.1. Standardization of microarray data ................................................. 6 1.3.2. Pre-processing of microarray data .................................................. 8 1.3.3. Normalization ................................................................................. 8 1.3.4. Statistical methods ........................................................................... 11 1.4. Cluster analysis ........................................................................................ 15 1.4.1. Hierarchical cluster ......................................................................... 15 1.4.2. Non-hierarchical cluster .................................................................. 16 1.4.2.1. k-means clustering ............................................................. 18 1.4.2.2. Self-organizing maps (SOM) clustering ............................ 18 1.5. Gene Ontology (GO) analysis .................................................................. 21 1.5.1. Foundation of GO ........................................................................... 21 1.5.2. Three categories of GO .................................................................... 21 1.5.3. Application of GO for functional genomics .................................... 24 2. SELENIUM BIOLOGY .......................................................................... 26 2.1. Selenium and human health ..................................................................... 26 2.2. Selenium metabolism ............................................................................... 29 2.3. Selenoproteins biosynthesis ..................................................................... 29 2.3.1. Mechanism of selenocysteine biosynthesis .................................... 33 2.3.2. Incorporation of selenocysteine into protein .................................. 35 2.3.3. Components of selenocysteine biosynthesis .................................. 37 2.4. Selenophosphate synthetase (SPS) ........................................................... 39 2.4.1. Structural characteristic of eukaryotic SPS .................................... 40 2.4.2. Functional characteristic of eukaryotic SPS .................................... 42 3. VITAMIN B6 ............................................................................................... 45 3.1. Physiological roles of vitamin B6 ............................................................. 45 3.2. Vitamin B6 biosynthesis ............................................................................ 47 4. MICRORNA ............................................................................................... 51 4.1. Biogenesis of microRNA ........................................................................ 51 4.2. Functions and regulation of microRNA ................................................... 54 4.2.1. MicroRNA-mediated gene regulation ............................................ 54 4.2.2. Epigenetic regulation of microRNA ............................................... 55 4.3. Promoters and microRNA ........................................................................ 56 4.3.1. MicroRNA transcription .................................................................. 56 4.3.2. Promoter regions ............................................................................. 56 4.3.3. Transcription factors ........................................................................ 59 5. EPIGENETICS ........................................................................................... 62 5.1. DNA methylation ..................................................................................... 62 5.2. Histone modification ................................................................................ 64 CHAPTER 2. DROSOHPILA SELENOPHOSPHATE SYNTHETASE 1 REGULATES VITAMIN B6 METABOLISM: PREDICTION AND CONFIRMATION ...................................... 68 1. INTRODUCTION ...................................................................................... 69 2. MATERIALS AND METHODS ............................................................. 73 2.1. Regents and other material ....................................................................... 73 2.2. SL2 cell culture and RNA interference ..................................................... 73 2.3. Microarray experiment ............................................................................. 73 2.4. Microarray data processing ...................................................................... 75 2.5. Temporal clustering .................................................................................. 77 2.6. Gene ontology analysis ............................................................................ 78 2.7. RT-PCR and quantitative real time RT-PCR ........................................... 78 2.8. Measurement of intracellular PLP concentration .................................... 79 2.9. Mitochondrial staining and confocal microscopy .................................... 80 3. RESULTS ..................................................................................................... 81 3.1. Identification of differentially expressed genes ....................................... 81 3.2. Functional distribution of differentially expressed genes ....................... 90 3.3. Construction the gene sets by temporal clustering ................................... 92 3.3.1. Clustering DEGs by SOM algorithm ............................................ 92 3.3.2. Functional distribution of six clusters ............................................ 92 3.3.3. Construction of three gene sets for GO analysis ............................. 95 3.4. Identification of statistically overrepresented biological processes ......... 96 3.5. Validation of expression by quantitative PCR ......................................... 100 3.6. Intracellular pyridoxal phosphate level was decreased by SPS1 knockdown 104 3.7. Inhibition of PLP biosynthesis and SPS1 knockdown showed similar expression patterns ................................................................................... 107 3.8. The reduction of intracellular PLP level inhibits cell growth and induces megamitochondrial formation .................................................................. 109 4. DISCUSSION .............................................................................................. 112 CHAPTER 3. IDENTIFICATION OF METHYLATION-DEPENDENT REGULATORY ELEMENTS FOR INTERGENIC MICRORNAS IN HUMAN H4 CELL ....... 118 1. INTRODUCTION ...................................................................................... 119 2. MATERIALS AND METHODS ............................................................. 122 2.1. Cell lines and culture ............................................................................... 122 2.2. Identification of miRNAs from sequence and annotation data ............... 122 2.3. Probe design ............................................................................................. 122 2.4. Microarray experiment ............................................................................ 124 2.5. Microarray data analysis .......................................................................... 124 2.6. Distribution analysis ................................................................................ 126 2.6.1. Predicted transcription factor binding sites (TFBSs) ...................... 126 2.6.2. Predicted transcription start sites (TSSs) ........................................ 127 2.6.3. Differentially methylated regions (DMRs) ..................................... 127 2.7. Motif analysis .......................................................................................... 127 2.7.1. Multiple alignments of DMRs and clustering ................................. 127 2.7.2. Identification of statistically significant motifs .............................. 128 2.8. Reverse transcription PCR reaction ......................................................... 128 2.9. Quantitative real-time PCR ...................................................................... 129 2.10. miRNA targets prediction ...................................................................... 129 2.11. Gene ontology analysis .......................................................................... 129 2.12. Analysis of bisulfite sequencing data ................................................... 130 3. RESULTS ..................................................................................................... 131 3.1. Identification of DMRs ............................................................................ 131 3.2. Distribution of DMRs, TFBSs and TSSs ................................................. 131 3.3. Clustering DMRs using phylogenetic method ......................................... 141 3.4. Prediction of sequence motifs from DMPs .............................................. 141 3.5. Effect of demethylation on intergenic miRNA expression ...................... 149 3.6. Correlations between the C[N]6CT motif in DMRs and intergenic miRNA expression ............................................................................................... 152 4. DISCUSSION .............................................................................................. 154 CHAPTER 4. CONCLUSIONS AND FUTHER REMARKS 157 1. CONCLUSTIONS .................................................................................... 158 2. FUTHER REMARKS .............................................................................. 159 REFERENCES ................................................................................................ 160 ABSTRACT IN KOREAN ............................................................................ 181Docto

    All-optical full-adder using photonic crystal mode junction structure

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐ. ์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2011.8. ๋ฐ•๋‚จ๊ทœ.Maste

    A study on dualism of the urban administration in Korea under the rule of Japanese imperialism

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    ์ด ๊ธ€์€ ์‹๋ฏผ์ง€ ๊ทผ๋Œ€ํ™”๋ก ์— ๋Œ€ํ•œ ๋น„ํŒ์  ๊ฒ€ํ† ๋ฅผ ๋„์‹œํ–‰์ • ์ฐจ์›์—์„œ ์‹œ๋„ํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ˆ˜ํƒˆ๋ก ๊ณผ ๊ทผ๋Œ€ํ™”๋ก ์œผ๋กœ ๋Œ€๋น„๋˜๋Š” ๊ธฐ์กด์˜ ๋…ผ์˜๊ตฌ๋„๋ฅผ ํƒˆํ”ผํ•˜๊ธฐ ์œ„ํ•ด, ์‚ฌํšŒํ˜„์ƒ์„ ์ธ๊ฐ„ํ–‰์œ„์˜ ์˜๋„๋œ ๊ฒฐ๊ณผ์™€ ์˜๋„๋˜์ง€ ์•Š์€ ๊ฒฐ๊ณผ๋กœ ๋Œ€๋ณ„ํ•˜์—ฌ ๋ถ„์„ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋„์ž…ํ•˜์˜€๋‹ค. ๋ถ€์ œ(ๅบœๅˆถ)๋ผ๋Š” ๋„์‹œํ–‰์ •๊ตฌ์—ญ๊ณผ ๋„์‹œ๊ณ„ํš, ๊ทธ๋ฆฌ๊ณ  ๋„์‹œ์ง€์—ญ์— ์‹ค์‹œ๋œ ์ง€๋ฐฉ์ž์น˜์ œ๋„๋ฅผ ์ค‘์‹ฌ์ ์œผ๋กœ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ, ์ผ์ œ ๊ฐ•์ ๊ธฐ์˜ ๋„์‹œํ–‰์ •์ œ๋„๊ฐ€ ๊ทผ๋Œ€์ ์ธ ์š”์†Œ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์—ˆ๋˜ ์ ์€ ์ธ์ •๋˜์ง€๋งŒ, ๋„์‹œ ๊ณต๊ฐ„์ด ๋ฏผ์กฑ ์ฐจ๋ณ„์ ์œผ๋กœ ๋ถ„ํ™”๋˜๊ณ  ๋Œ€ํ‘œ์„ฑ์ด ์ฐจ๋ณ„์ ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๋Š” ์‹๋ฏผ์ง€์  ํŠน์ง•์ด ๋“œ๋Ÿฌ๋‚ฌ๋‹ค. ๊ทผ๋Œ€์ ์ธ ๋„์‹œํ–‰์ •์ œ๋„๋กœ๋ถ€ํ„ฐ ๋Œ€๋‹ค์ˆ˜์˜ ํ•œ๊ตญ์ธ์„ ์†Œ์™ธ์‹œํ‚จ ๊ฒƒ์ด ์ผ์ œ๊ฐ€ ์˜๋„ํ•œ ๊ฒฐ๊ณผ์˜€๋‹ค๋Š” ์ ์—์„œ ํ•œ๊ตญ์˜ ๊ทผ๋Œ€์  ๋ฐœ์ „์— ์ผ์ œ ํ†ต์น˜๊ฐ€ ๊ธฐ์—ฌํ–ˆ๋‹ค๋Š” ์ฃผ์žฅ์€ ๋ฐ˜๋ฐ•๋˜์–ด์•ผ ํ•œ๋‹ค๊ณ  ๋ณธ๋‹ค. This article is to review the urban administration within the framework of criticizing the theory of colonial modernization. The new method is introduced to overcome the existing controversy of the theory. It makes social phenomena divided the intended results and the unintended results. Looking over urban administrative district, city planning, local autonomy institutions in urban area, it is admitted that there is some modern aspects in the urban administrative institution under the rule of Japanese imperialism. But the distinction of colonialism is showed. For example, urban space was divided with national discrimination and representative institution was not constructed in favor of the Korean. Because of these facts, it should be strongly disputed that the rule of Japanese imperialism contributed to modernization of Korea.๋ณธ ๋…ผ๋ฌธ์€ ํ•œ๊ตญํ•™์ˆ ์ง„ํฅ์žฌ๋‹จ์˜ ์ง€์›์— ์˜ํ•œ ๊ฒƒ์ž„(KRF-2004-073-AS2006

    ์ด์˜จํ”Œ๋ ˆ์ดํŒ…๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ์ œ์กฐํ•œ (Ti1-xAlx)N ๋ฐ•๋ง‰์˜ ํŠน์„ฑ ๋ฐ Ti ์ค‘๊ฐ„์ธต์ด ์ ‘์ฐฉ๋ ฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ธˆ์†๊ณตํ•™๊ณผ,1997.Maste

    Microwave field enhancement by deep subwavelength metallic gaps down to five nanometers

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ๋ฌผ๋ฆฌยท์ฒœ๋ฌธํ•™๋ถ€,2017. 2. ๊น€๋Œ€์‹.In this dissertation, I describe experimental demonstrations of strong field enhancements in microwave regime achieved by deep subwavelength metallic gaps down to 5 nanometers. I built a Ku band (12~18 GHz) free-space setup to measure transmittances and electric field enhancement factors of the samples. I prepared ฮป/400-width slot antennas by punching aluminum foils with a razor blade and the hand-made antennas exhibited good agreements to the previous studies of terahertz nanoantennas which have a similar aspect ratio of the incident wavelength and the widths of slots. To investigate deeper subwavelength regime, ฮป/10,000,000-width nanogaps were fabricated by high-throughput atomic layer lithography. I built three open-ended waveguide pair setups to cover Ku, K (18~26.5 GHz), and Ka (26.5~40 GHz) band spectra and observed giant electric field enhancement factors up to 5,000 with the nanogaps. I also performed terahertz time-domain spectroscopy with the same sample and confirmed a convergence to the microwave range. As a potential application of subwavelength microwave optics, I exhibited a ฮป/2000-width microwave switch based on insulator-metal transition. The aforementioned researches would open up a way to enhance nonlinearities and detection sensitivities of microwave and millimeter-wave optics applications and enable non-invasive molecule trappings and designed fluidic controls by light.Chapter 1. Introduction 1 Chapter 2. Preparation of subwavelength gaps 4 2.1 Perforation by razor blade 5 2.2 Photolithography 8 2.3 Focused ion beam 12 2.4 Atomic layer lithography 14 Chapter 3. Experimental setups 17 3.1 Horn antenna pair 18 3.2 Open-ended waveguide pair 21 3.3 Terahertz time-domain spectroscopy 24 Chapter 4. Microwave field enhancement by ฮป/400-width hand-made gaps 26 4.1 Anomalous band formation in antenna arrays 27 4.2 Selective enhanced transmittances of asymmetric antenna pairs 31 4.3 Effects of fabrication errors 33 4.4 Summary 35 Chapter 5. Microwave field enhancement by ฮป/10,000,000-width nanogaps 36 5.1 Field enhancement by ฮป/2,000-width gaps 37 5.1 Details on the nanogap sample 39 5.2 Microwave transmission measurements 42 5.3 Comparison with terahertz time-domain spectroscopy 44 5.4 Summary 50 Chapter 6. Conclusions 51 Bibliography 54 ์š”์•ฝ (๊ตญ๋ฌธ์ดˆ๋ก) 65 List of publications 66 Conferences 67Docto

    (A) study on the relationship between stressful life events and statement of health in official workers

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    ๊ฐ„ํ˜ธํ•™๊ต์œก/์„์‚ฌ[ํ•œ๊ธ€] ํ˜„๋Œ€์ธ์€ ๊ธ‰๊ฒฉํ•œ ์‚ฌํšŒ ๊ฒฝ์ œ์  ๋ฐœ์ „์œผ๋กœ ์—ฌ๋Ÿฌ๊ฐ€์ง€ ์ƒํ™ฉ์— ์˜ˆ๊ธฐ์น˜ ๋ชปํ•œ ์ƒํ™œ๋ณ€ํ™”๋กœ ํฌ๊ฑด ์ž‘๊ฑด ๊ฐ„์— ์ผ์ƒ์ƒํ™œ์—์„œ ์ŠคํŠธ๋ ˆ์Šค๋ฅผ ๊ฒฝํ—˜ํ•˜๊ฒŒ ๋˜๋ฉฐ, ์ตœ๊ทผ์—๋Š” ์ŠคํŠธ๋ ˆ์Šค์™€ ๊ด€๋ จ๋œ ์งˆ๋ณ‘์ด ์ ์ฐจ ์ฆ๊ฐ€๋˜๋Š” ์ถ”์„ธ์— ์žˆ๋‹ค. ํŠนํžˆ ์‚ฌ๋ฌด์ง ๊ทผ๋กœ์ž๋“ค์˜ ์—…๋ฌด์ƒํ™ฉ์—์„œ ๊ฒฝํ—˜ํ•˜๋Š” ์ŠคํŠธ๋ ˆ์Šค๋Š” ํ”ผํ•  ์ˆ˜ ์—†๋Š” ํ˜„์ƒ์œผ๋กœ ์–ด๋Š์ •๋„์˜ ์ŠคํŠธ๋ ˆ์Šค๋Š” ์—ญํ•  ์ˆ˜ํ–‰์— ๋„์›€์„ ์ฃผ๊ณ  ๊ฐœ์ธ์˜ ์„ฑ์žฅ๊ณผ, ์ƒ์‚ฐ์„ฑ ์ฆ๊ฐ€๋ฅผ ๊ฐ€์ ธ์˜ค์ง€๋งŒ ์ŠคํŠธ๋ ˆ์Šค๊ฐ€ ๊ฐ๋‹นํ•˜๊ธฐ ์–ด๋ ค์šด ์ •๋„์ด๊ฑฐ๋‚˜ ๊ทธ ์ƒํƒœ๊ฐ€ ์˜ค๋ž˜ ์ง€์†๋˜๋ฉด ๋ถ€์ ์‘ ์ƒํƒœ๊ฐ€ ๋˜์–ด ์‹ ์ฒด์ , ์ •์‹ ์ , ์ •์„œ์ ์œผ๋กœ ํƒˆ์ง„์ƒํƒœ์— ๋น ์ง€์— ๋œ๋‹ค. ์ด๋Ÿฌํ•œ ์†Œ์ง„์„ ๊ฒฝํ—˜ํ•˜๋Š” ์‚ฌ๋ฌด์ง ๊ทผ๋กœ์ž๋“ค์€ ๋ถ€์ •์ ์ธ ์ž์•„๊ฐœ๋… ๋ฐ ์ง์—…์  ํƒœ๋„๋ฅผ ๊ฐ–๊ฒŒ ๋˜๋ฉฐ, ์ž์‹ ์˜ ์—…๋ฌด์— ๋ฌด๊ด€์‹ฌํ•ด์ง€๊ณ , ๋ถˆ๋งŒ์กฑํ•˜์—ฌ ์‹ค์ˆ˜๋ฅผ ์ €์ง€๋ฅผ ์ˆ˜ ์žˆ์–ด ๊ฒฐ๊ตญ ๊ฐœ์ธ์˜ ์†์‹ค, ๊ธฐ์—…์˜ ์†์‹ค ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ตญ๊ฐ€์ ์ธ ์†์‹ค์„ ์ดˆ๋ž˜ํ•˜๊ฒŒ ๋œ๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ ๋ณธ ์—ฐ๊ตฌ๋Š” ์‚ฌ๋ฌด์ง ๊ทผ๋กœ์ž๋“ค์˜ ๊ฑด๊ฐ•์ƒํƒœ์— ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋Š” ์ƒํ™œ์‚ฌ๊ฑด ์ŠคํŠธ๋ ˆ์Šค ์ธ์ง€๋Ÿ‰์„ ๊ฐ„ํ˜ธ์ค‘์žฌ์˜ ๊ทผ๊ฑฐ๋กœ ์‚ผ๊ณ ์ž ์‹œ๋„๋˜์—ˆ๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ์€ ์„œ์šธ์‹œ๋‚ด ๊ฐ•๋‚จ๊ตฌ์— ์†Œ์žฌํ•˜๋Š” D๊ทธ๋ฃน ์‚ฌ๋ฌด์ง ๊ทผ๋กœ์ž ์ค‘ ์—ฌ์„ฑ์„ ์ œ์™ธํ•œ 30์„ธ ์ด์ƒ 60์„ธ ๋ฏธ๋งŒ์˜ ๋‚จ์ž ์‚ฌ๋ฌด์ง ๊ทผ๋กœ์ž 150๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. ์ž๋ฃŒ์ˆ˜์ง‘ ๊ธฐ๊ฐ„์€ 1992๋…„ 3์›” 23์ผ๋ถ€ํ„ฐ 4์›”10์ผ ๊นŒ์ง€ 17์ผ ๋™์•ˆ ์ด์—ˆ๋‹ค. ์—ฐ๊ตฌ๋„๊ตฌ๋Š” ์ด(1984)๊ฐ€ ๊ฐœ๋ฐœํ•œ ์ƒํ™œ์‚ฌ๊ฑด ์ŠคํŠธ๋ ˆ์Šค ์ธก์ •๋„๊ตฌ, ๋‚จ(1995)์˜ ๊ฐ„์ด ๊ฑด๊ฐ•์กฐ์‚ฌํ‘œ ๋ฐ ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ์œผ๋กœ ๊ตฌ์„ฑ๋œ ์„ค๋ฌธ์ง€๋ฅผ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ ์ˆ˜์ง‘๋œ ์ž๋ฃŒ๋Š” ์ฝ”๋”ฉ ์นด๋“œ์— ๋ถ€ํ˜ธํ™” ํ•œ ํ›„ SPSS๋ฅผ ์ด์šฉํ•˜์—ฌ ์ „์‚ฐ์ฒ˜๋ฆฌํ•˜์˜€๋‹ค. ์ž๋ฃŒ๋ถ„์„์œผ๋กœ๋Š” ๋Œ€์ƒ์ž์˜ ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ ๋ฐ ์ƒํ™œ์‚ฌ๊ฑด์„ ๊ฒฝํ—˜ํ•œ ๋Œ€์ƒ์ž์ˆ˜๋ฅผ ์‹ค์ˆ˜์™€ ๋ฐฑ๋ถ„์œจ๋กœ ์‚ฐ์ถœํ•˜์˜€๊ณ , ๋Œ€์ƒ์ž๊ฐ€ ๊ฒฝํ—˜ํ•œ ์ƒํ™œ์‚ฌ๊ฑด ์ŠคํŠธ๋ ˆ์Šค ๊ฒฝํ—˜ํ–ฅ์€ ๊ฐ ์ƒํ™œ์‚ฌ๊ฑด์— ๋Œ€ํ•œ ์ŠคํŠธ๋ ˆ์Šค ์ธ์ง€๋Ÿ‰๊ณผ ์‚ฌ๊ฑด ๊ฒฝํ—˜ํšŸ์ˆ˜๋ฅผ ๊ณฑํ•œ ๊ฐ’์œผ๋กœ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ์ƒํ™œ์‚ฌ๊ฑด ์ŠคํŠธ๋ ˆ์Šค๊ฒฝํ—˜๋Ÿ‰๊ณผ ๊ฑด๊ฐ•์ƒํƒœ์˜ ์ฐจ์ด๋Š” t-test์™€ ์ผ์›๋ณ€๋Ÿ‰๋ถ„์„(ANOVA)๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1) ๋Œ€์ƒ์ž๊ฐ€ ์ธ์ง€ํ•œ ๊ฐ ์ƒํ™œ์‚ฌ๊ฑด์— ๋Œ€ํ•œ ์ŠคํŠธ๋ ˆ์Šค ์ธ์ง€๋Ÿ‰๊ณผ ํ‰๊ท ๊ฐ’์€ ๊ฐ€๋Šฅ์ ์ˆ˜ 0์ -100์  ๋ฒ”์œ„์—์„œ ์ตœ๊ณ  84.15(์ž๋…€์˜ ์ฃฝ์Œ), ์ตœ์ € 33.57(์‹ ์•™์ƒํ™œ์˜ ์‹œ์ž‘)์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 2) ๋Œ€์ƒ์ž๊ฐ€ ๊ฒฝํ—˜ํ•œ ์ŠคํŠธ๋ ˆ์Šค์–‘์€ "๊ฐ€์กฑ์˜ ๊ตฌ์†"์ด ํ‰๊ท  630์ ์œผ๋ก ๊ฐ€์žฅ ๋†’์•˜๊ณ , "์ž๋…€์˜ ํ•™์—…์ค‘๋‹จ" 508์ , "๋ถˆํ™”๋กœ ์ธํ•œ ๋ถ€๋ถ€๊ฐ„์˜ ๋ณ„๊ฑฐ" 325์  ์ˆœ์œผ๋กœ ๋†’์•˜์œผ๋ฉฐ ์ „ํ˜€ ๊ฒฝํ—˜ํ•˜์ง€ ์•Š์€ ํ•ญ๋ชฉ์€ 7๊ฐœ ํ•ญ๋ชฉ์œผ๋กœ ์ด๋Š” ํ•œ๊ตญ์ธ์—๊ฒŒ๋Š” ๋งž์ง€ ์•Š๋Š” ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค. 3) ๋Œ€์ƒ์ž์˜ ๊ฑด๊ฐ•์ƒํƒœ ํ˜ธ์†Œ์œจ์€ 0์ -57์  ๋ฒ”์œ„์ด๊ณ  ๊ฐ€์žฅ ๋†’์€ ๋นˆ๋„๋ฅผ ๋ณด์ธ ํ•ญ๋ชฉ์€ "๋ˆˆ์˜ ํ”ผ๋กœ๊ฐ€ ์˜ค๊ฑฐ๋‚˜ ๋˜๋Š” ์ถฉํ˜ˆ๋  ๋•Œ๊ฐ€ ์ž์ฃผ ์žˆ์Šต๋‹ˆ๊นŒ?"๋กœ 113๋ช…์ด ํ˜ธ์†Œํ•˜์˜€์œผ๋ฉฐ ๊ฐ€์žฅ ๋‚ฎ์€ ๋นˆ๋„๋ฅผ ๋‚˜ํƒ€๋‚ธ ํ•ญ๋ชฉ์€ "๊ฐ‘์ž๊ธฐ ์†Œ๋ฆฌ๊ฐ€ ๋‚˜๋ฉด ๋ชน์‹œ ๋†€๋ผ ๋ฒŒ๋–ก ์ผ์–ด๋‚˜๊ฑฐ๋‚˜ ๋ชธ์ด ๋ฒŒ๋ฒŒ ๋–จ๋ฆฝ๋‹ˆ๊นŒ?"๋กœ 5๋ช…์ด์—ˆ๋‹ค. 4) ๋Œ€์ƒ์ž์˜ ์ƒํ™œ์‚ฌ๊ฑด ์ŠคํŠธ๋ ˆ์Šค ๊ฒฝํ—˜๋Ÿ‰๊ณผ ๊ฑด๊ฐ•์ƒํƒœ์˜ ์ƒ๊ด€๊ด€๊ณ„๋Š” ์ˆœ์ƒ๊ด€๊ด€๊ณ„(r=.2215, P<.01)๋ฅผ ๋‚˜ํƒ€๋‚ด์–ด ์ŠคํŠธ๋ ˆ์Šค๊ฐ€ ๋งŽ์„ ์ˆ˜๋ก ๊ฑด๊ฐ•์ด ๋‚˜์œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 5) ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ์ƒํ™œ์‚ฌ๊ฑด ์ŠคํŠธ๋ ˆ์Šค ๊ฒฝํ—˜๋Ÿ‰์˜ ์ฐจ์ด๊ฒ€์ฆ์—์„œ๋Š” ๊ฒฐํ˜ผ์ƒํƒœ(t=3.00, P<.01), ์ˆ˜์ž…(t=-2.17, P<.05)์—์„œ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋Š”๋ฐ, ๊ธฐํ˜ผ์ž๊ฐ€ ๋ฏธํ˜ผ์ž๋ณด๋‹ค ์›”๋“ฑํžˆ ๋†’์€ ์ŠคํŠธ๋ ˆ์Šค๋Ÿ‰์„ ๋‚˜ํƒ€๋ƒˆ๊ณ  ์ˆ˜์ž…์ด ๋งŽ์€ ์ง‘๋‹จ์ด ์ ์€ ์ง‘๋‹จ๋ณด๋‹ค ๋†’์€ ์ŠคํŠธ๋ ˆ์Šค๋Ÿ‰์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. 6) ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๊ฑด๊ฐ•์ƒํƒœ์˜ ์ฐจ์ด ๊ฒ€์ฆ์—์„œ๋Š” ์—ฐ๋ น(F=3.15, P<.05), ์ง์œ„(F=3.25, P<.05)์—์„œ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋Š”๋ฐ ๋‚˜์ด๊ฐ€ 40์„ธ ์—์„œ 44์„ธ ์‚ฌ์ด์—์„œ ๊ฑด๊ฐ•์ƒํƒœ ํ˜ธ์†Œ์ ์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋†’์•˜๊ณ  ๋˜ํ•œ ์ง์œ„๋ณ„๋กœ๋Š” ๊ณผ์žฅ์ง์œ„์—์„œ ๊ฐ€์žฅ ๋†’์€ ํ˜ธ์†Œ์ ์ˆ˜๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ์‚ฌ๋ฌด์ง ๊ทผ๋กœ์ž๋Š” ์ง์žฅ์—์„œ ๋˜ ๊ฐ€์ •์—์„œ ์ŠคํŠธ๋ ˆ์Šค๋ฅผ ๋Š์ž„์—†์ด ๋ฐ›๊ณ  ์žˆ๊ณ  ์ด๋Ÿฌํ•œ ์ŠคํŠธ๋ ˆ์Šค๋Š” ๊ฑด๊ฐ•์ƒํƒœ์™€ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ์œผ๋ฉฐ ์ƒํ™œ์‚ฌ๊ฑด์ค‘์—์„œ ํŠนํžˆ ์ž๋…€, ๋ถ€๋ถ€ ๋ฌธ์ œ ๋“ฑ ์ธ๊ฐ„๊ด€๊ณ„์—์„œ ์•ผ๊ธฐ๋  ์ˆ˜ ์žˆ๋Š” ๋ฌธ์ œ๋“ค๋กœ ์ธํ•ด ๋งŽ์€ ์ŠคํŠธ๋ ˆ์Šค๋ฅผ ๋ฐ›๊ณ  ์žˆ์œผ๋ฏ€๋กœ ์‚ฌ๋ฌด์ง ๊ทผ๋กœ์ž๊ฐ€ ๊ทธ๋“ค์˜ ์ŠคํŠธ๋ ˆ์Šค์— ์ ์ ˆํžˆ ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ๋„๋ก ๊ฐ€์กฑ์ด๋‚˜ ๋ถ€๋ถ€์ƒ๋‹ด ๋“ฑ ์ „๋ฌธ์ ์ธ ์ƒ๋‹ด๊ณผ ๋Œ€์ธ๊ด€๊ณ„ ๊ธฐ์ˆ  ๊ต์œก๋“ฑ์˜ ๊ฐ„ํ˜ธ์ „๋žต์„ ์ˆ˜๋ฆฝํ•˜์—ฌ ์‚ฌ๋ฌด์ง ๊ทผ๋กœ์ž์˜ ์ •์‹  ๋ฐ ์‹ ์ฒด๊ฑด๊ฐ•์„ ์ฆ์ง„์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์•ˆ์„ ๊ฐ•๊ตฌํ•˜์—ฌ์•ผ ํ•  ๊ฒƒ์ด๋‹ค. [์˜๋ฌธ]Today, a modern person experiences stress in every day living because of many unexpected changes in society as a result of rapid scientific development. Stress from socioenvironmental factors has been defined as one of the causes of various diseases. In particular, office workers experience stress in the work place as a result of situations which are unavoidable. The purpose of this study was to examine the relationship between stress life events and health status in order to give direction to nursing interventions directed at improving the mental health of office workers. The subjects of the study were a convenience sample of 150 male office workers between the age of 30 to 60 years of age working in a D-group located in Gangnam in Seoul. The data were collected for 17 days from March 23 to April 10. 1991. The tools used to collect the data were "Lee's Stressful Life Events Scale(1984)", "Cornell-Medical Index Quetionaire Modified by Nam(1965)" and a socio-demographic characteristics questionnaire. Actual numbers and percentages were used in the analysis of the data, for the socio-demographic characteristics of the subjects. The experience of stressful life events and the total stress were analyzed using actual numbers, percentages, means and standard deviation, and t-test and ANOVA were used to test differences according to the socio-demographic characteristics between stress life events and total stress score. The results of the study were as follows; 1) The mean value for the stress level ranged from a high of 84.15 (Death of a children), to a low 33.57 (begining a religious life). 2) The total stress was highest with an average of 630 points for the item "family restriction". The second highest was for "school dropout by children" with a mean of 508 "living separately from spouse" ranked third at 32.5 points. There were 7 items which were not reported as having been experienced by the Korean people in the study. 3) The health status scores were distributed from zero to 57. The item with the highest score was "frequent tiredness and redness in eyes" with a score of 113. 4) The correlation coefficient for stressful life events with mental heath was r=.2215 (P<.01) indicating that increased stress is related to lower mental health. 5) The scio-demographic characteristics that showed a significant difference for the experience of stressful life events were satisfaction with marriage (t=-3.00, P<.01), and icome (t=-2.17, P<.05). The women with the highest stress scores were women who were married. 6) The socio-demographic characteristics that showed a significant difference for mental health status were age(F=3.15, P<.05) and occupation (F=3.25, P<.05). The mental health from men age 40 to 44 years were the highest. For specialty in occupation, the mental health socres for the head of a section were the highest of all the scores for occuation. In conclusion, stress in life for office workers is closely connected with mental health. Today, there is an increased stress in human relationships such as argument so that it is desitable to help office workers cope with their stress constructively through special counselling and training in improving human relations.prohibitio

    (An)Empirical analysis on the performance of South Korea`s city governments

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ •์น˜ํ•™๊ณผ,2003.Docto

    Legislation of Citizen Participation in LocaI Governments

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    ์ด ๊ธ€์€ ์ง€๋ฐฉ์ž์น˜ ๋ถ€ํ™œ ์ดํ›„ ์ง€๋ฐฉ์ž์น˜๋‹จ์ฒด์—์„œ ์ด๋ฃจ์–ด์ง„ ์ฃผ๋ฏผ์ฐธ์—ฌ ์ž…๋ฒ•ํ˜„ํ™ฉ์„ ์‚ดํŽด๋ณด๊ณ ์ž ํ•œ ๊ฒƒ์ด๋‹ค ์ง์ ‘๋ฏผ์ฃผ์ฃผ์˜์™€ ๋Œ€์˜๋ฏผ์ฃผ์ฃผ์˜ ๊ฐ€๊ต์—ญํ• ์„ ํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋˜๋Š” ์ง€๋ฐฉ์ž์น˜๋Š” ์ง€๋‚œ 10 ์—ฌ ๋…„ ๋™์•ˆ ๋‹ค์–‘ํ•œ ์ฃผ๋ฏผ์ฐธ์—ฌ์ œ๋„๋ฅผ ๋งŒ๋“ค์–ด ๋‚ด์—ˆ๋‹ค ์ฃผ๋ฏผ๊ฐ์‚ฌ์ฒญ๊ตฌ๏ผŒ ์ •๋ณด๊ณต๊ฐœ๏ผŒ ์˜ด๋ถ€์ฆˆ๋งŒ๏ผŒ ์‹œ๋ฏผ๊ฐ๋…๊ด€๏ผŒ ๋ฏผ์›๋ฒ•์ • ๋“ฑ ์ง€๋ฐฉ์ž์น˜๋‹จ์ฒด์— ๋„์ž…๋˜๊ณ  ์žˆ๋Š” ์ฐธ์—ฌ์ œ๋„๋Š” ์ง€๋ฐฉ์ •๋ถ€์˜ ํˆฌ๋ช…์„ฑ์„ ๋†’์ด๋Š”๋ฐ ์ดˆ์ ์„ ๋‘ ์œผ๋กœ์จ ๋ฏผ์ฃผ์ฃผ์˜ ๋ฐœ์ „๊ณผ ์‚ถ์˜ ์งˆ ํ–ฅ์ƒ์— ๊ธฐ์—ฌํ•˜๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค ์ฆ‰ ํ•œ๊ตญ์—์„œ ์ง€๋ฐฉ์ž์น˜์˜ ๋ถ€ํ™œ์€ ๋Œ€์˜๋ฏผ์ฃผ์ œ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ฐธ์—ฌ๋ฏผ์ฃผ์ฃผ์˜๋„ ํ™•์žฅ์‹œํ‚ค๊ณ  ์žˆ๋Š” ๊ฒƒ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ž…๋ฒ•ํ˜•์‹์ด ํ›ˆ๋ น์œ„์ฃผ๋กœ ๋˜์–ด ์žˆ๋‹ค๋Š” ์ ์—์„œ ํ•œ๊ตญ์˜ ์ง€๋ฐฉ์ •์น˜๊ฐ€ ๋‹จ์ฒด์žฅ์— ์˜ํ•ด ์ฃผ๋„๋˜๊ณ  ์žˆ์Œ์„ ๋ณด์—ฌ์ฃผ๊ณ  ์žˆ๋‹ค. ์ฐธ์—ฌ์ž…๋ฒ•์ด ์กฐ๋ก€ํ˜•์‹์„ ๊ฐ–์ถ”์–ด์•ผ ํ•˜๋Š” ๊ฒƒ์€ ์ œ๋„์˜ ์•ˆ์ •์„ฑ์„ ํ™•๋ณดํ•œ๋‹ค๋Š” ์ ์—์„œ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ง€๋ฐฉ์˜ํšŒ๋ฅผ ํ™œ์„ฑํ™”์‹œํ‚จ๋‹ค๋Š” ์ ์—์„œ๋„ ์ค‘์š”ํ•˜๋‹ค. ๋˜ ์ฐธ์—ฌ์ž…๋ฒ• ํ™œ๋™์ด ํŠน์ •ํ•œ ์ง€์—ญ์— ํŽธ์ค‘๋˜์–ด ์žˆ๋Š” ๋ฌธ์ œ์ ๋„ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋Š”๋ฐ๏ผŒ ์ด๋Š” ์ง€์—ญ์‹œ๋ฏผ์‚ฌํšŒ์˜ ํ™œ์„ฑํ™”๊ฐ€ ๋ถˆ๊ท ๋“ฑํ•˜๊ฒŒ ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ๋Š” ๊ฒƒ๊ณผ ์—ฐ๊ด€๋œ ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ๋ฏผ์ฃผ์ฃผ์˜ ์ž‘๋™๊ณผ ์‹œ๋ฏผ์‚ฌํšŒ์˜ ์„ฑ์ˆ™ ๊ฐ„์—๋Š” ๋ถˆ๊ฐ€๋ถ„์˜ ๊ด€๊ณ„๊ฐ€ ์žˆ์Œ์„ ์ƒ๊ฐํ•˜๊ฒŒ ํ•œ๋‹ค

    Effect of acute exercise on phosphorylation of ERK and expression of GLUT-1 in murine lung

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ฒด์œก๊ต์œก๊ณผ, 2006.Docto
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