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    ๊ณจ๋“ ๊ฒŒ์ดํŠธ ๋ธŒ๋ฆฟ์ง€์˜ ์•„๋ฅด๋ฐ์ฝ” ์Šคํƒ€์ผ ํŠน์ง•

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    ๊ต๋Ÿ‰(Bridge, ๆฉ‹ๆข)์€ ์ง€์—ญ์˜ ์ƒ์ง•๋ฌผ๋กœ ์ข…์ข… ๋ช…๋ช…๋˜๊ณค ํ•œ๋‹ค. ํŠนํžˆ ์•„๋ฆ„๋‹ค์šด ๊ต๋Ÿ‰์€ ์ง€์—ญ์ฃผ๋ฏผ์˜ ์ž๊ธ์‹ฌ์„ ๋ถˆ๋Ÿฌ์ผ์œผํ‚ค๋ฉฐ, ์‹œ๋Œ€๋ฅผ ๊ฑฐ์ณ ๊ณต๊ณต์˜ ์†Œ์ค‘ํ•œ ๋ฌธํ™”์žฌ๋กœ ์ž๋ฆฌ๋งค๊น€ํ•˜๊ฒŒ ๋œ๋‹ค. ๋ฏธ๊ตญ ์บ˜๋ฆฌํฌ๋‹ˆ์•„ ์ƒŒํ”„๋ž€์‹œ์Šค์ฝ”์˜ ๋žœ๋“œ๋งˆํฌ ๊ต๋Ÿ‰์ธ ๊ณจ๋“ ๊ฒŒ์ดํŠธ ๋ธŒ๋ฆฟ์ง€(Golden Gate Bridge, ๏คŠ้–€ๆฉ‹)๋Š” ์ด์™€ ๊ฐ™์€ ์†์„ฑ์„ ์ง€๋‹Œ ๋Œ€ํ‘œ์ ์ธ ๊ต๋Ÿ‰์ด๋‹ค. ๋ฏธ๊ตญํ† ๋ชฉํ•™ํšŒ(American Society of Civil Engineers, 2010)์—์„œ๋Š” ๊ณจ๋“ ๊ฒŒ์ดํŠธ ๋ธŒ๋ฆฟ์ง€๊ฐ€ ๋ฏธ๊ตญ, ์บ˜๋ฆฌํฌ๋‹ˆ์•„, ์ƒŒํ”„๋ž€์‹œ์Šค์ฝ”๋ฅผ ๋Œ€ํ‘œํ•˜๋Š” ๊ฐ€์žฅ ๊ตญ์ œ์ ์œผ๋กœ ์•Œ๋ ค์ง„ ์ƒ์ง•๋ฌผ ๊ฐ€์šด๋ฐ ํ•˜๋‚˜์ด๋‹ค.(It is one of the most internationally recognized symbols of San Francisco, California, and the United States.)๋ผ๊ณ  ์–ธ๊ธ‰ํ–ˆ์œผ๋ฉฐ, ์ƒŒํ”„๋ž€์‹œ์Šค์ฝ”์˜ ์ „๋ฌธ ์‚ฌ์ง„์ž‘๊ฐ€ ๊ฐœ๋ฆฌ ํฌ๋ ˆ์ด๋ธŒ(Gary Crabbe, 2011: p.50) ์—ญ์‹œ ์˜ค๋Š˜๋‚  ๊ณจ๋“ ๊ฒŒ์ดํŠธ ๋ธŒ๋ฆฟ์ง€ ์—†์ด ์บ˜๋ฆฌํฌ๋‹ˆ์•„๋ฅผ ์ƒ๊ฐํ•  ์ˆ˜ ์—†๋‹ค.(Its nearly impossible today to think of California without the iconic Golden Gate Bridge.)๊ณ  ๋งํ–ˆ๋‹ค. ๊ณจ๋“ ๊ฒŒ์ดํŠธ ๋ธŒ๋ฆฟ์ง€๋Š” 1937๋…„์— ์™„๊ณต๋œ ๋‹น ์‹œ๋Œ€ ์ตœ๋Œ€ ๊ทœ๋ชจ์˜ ํ˜„์ˆ˜๊ต(Suspension Bridge, ๆ‡ธๅž‚ๆฉ‹)๋กœ์„œ, ๊ณจ๋“ ๊ฒŒ์ดํŠธํ•ดํ˜‘(Golden Gate Strait)์— ์œ„์น˜ํ•˜์—ฌ ๊ณจ๋“ ๊ฒŒ์ดํŠธ(Golden Gate) ๊ต๋Ÿ‰(Bridge)์œผ๋กœ ๋ช…๋ช…๋˜์—ˆ๋‹ค. ๋ณธ ๊ต๋Ÿ‰์€ ๋›ฐ์–ด๋‚œ ๊ธฐ์ˆ ๋ ฅ๊ณผ ์•„๋ฆ„๋‹ค์šด ํ˜•์ƒ์„ ์ž๋ž‘ํ•˜๋ฉฐ, ๋งŽ์€ ์‚ฌ๋žŒ๋“ค์˜ ์‚ฌ๋ž‘์„ ๋“ฌ๋ฟ ๋ฐ›์•„์™”๋‹ค. ์—ญ์‚ฌยท๊ธฐ์ˆ ยท์˜ˆ์ˆ ยท๋ฌธํ™”์  ๊ฐ€์น˜๋ฅผ ๋ชจ๋‘ ์ง€๋‹Œ ๊ณจ๋“ ๊ฒŒ์ดํŠธ ๋ธŒ๋ฆฟ์ง€๋Š” 2012๋…„์— 75๋ฒˆ์งธ ์ƒ์ผ์„ ๋งž์ดํ•˜์—ฌ ์„ฑ๋Œ€ํ•œ ์ƒ์ผ์ž”์น˜๋ฅผ ์น˜๋ฃจ์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  2013๋…„ 3์›” ํ˜„์žฌ ์ƒŒํ”„๋ž€์‹œ์Šค์ฝ”๋Š” ๊ณจ๋“ ๊ฒŒ์ดํŠธ ๋ธŒ๋ฆฟ์ง€๋กœ ์ธํ•ด ๋จน๊ณ  ์‚ฐ๋‹ค๊ณ  ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ์„ ์ •๋„๋กœ ๋„์‹œ์˜ ๊ณณ๊ณณ์—์„œ ๊ณจ๋“ ๊ฒŒ์ดํŠธ ๋ธŒ๋ฆฟ์ง€๋ฅผ ํ™๋ณดํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ฐ์ข… ์ƒํ’ˆ ๋ฐ ์ด๋ฒคํŠธ์—์„œ๋„ ๊ณจ๋“ ๊ฒŒ์ดํŠธ ๋ธŒ๋ฆฟ์ง€๋ฅผ ์ ๊ทน ํ™œ์šฉํ•˜๊ณ  ์žˆ๋‹ค

    ๋ง์ดˆ ์‹ ๊ฒฝ์†์ƒ์œผ๋กœ ์œ ๋„๋˜๋Š” ๋ฌผ๋ฆฌ์  ์ด์งˆํ†ต ํ˜•์„ฑ์— ๋Œ€ํ•œ ์ฒ™์ˆ˜ ๋ณ„์•„๊ต ์„ธํฌ ๋‚ด sigma-1 ์ˆ˜์šฉ์ฒด์˜ ์—ญํ• 

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ˆ˜์˜ํ•™๊ณผ, 2015. 2. ์ด์žฅํ—Œ.BACKGROUND: Chronic pain, such as peripheral neuropathic pain, can be characterized by sensory disorders that include mechanical allodynia (MA, lowering of response threshold to light tactile stimuli) and thermal hyperalgesia (TH, an increased response to a noxious thermal stimulus). The precise mechanisms in the spinal cord underlying the development of MA and TH remain to be clearly defined. The role of sigma non-opioid intracellular receptor 1 (Sig-1R) in modulating central sensitization associated with the development of neuropathic pain has recently been investigated. Moreover, it has been recognized that spinal Sig-1Rs play an important role in the induction of MA in neuropathic pain. However, it was not clearly demonstrated the specific mechanism related to this spinal Sig-1R under the development of MA in neuropathic pain condition. OBJECTIVES: The present study was designed to investigate: 1. the precise cellular location of Sig-1Rs in the spinal cord and whether Sig-1R activation mediates phosphorylation of p38, extracellular signal-regulated kinase (ERK) and c-Jun amino-terminal kinase (JNK), among mitogen-activated protein kinase (MAPK) signaling pathways. The effects of p38 and ERK inhibitor on the Sig-1R induced pain behaviors were also investigated. 2. the histological and physiological relationships among Sig-1R, p-p38 and glial activation and whether the inhibition of Sig-1R or p38 modulates astrocyte activation in chronic constriction injury (CCI) mice. I also investigated whether this Sig-1R modulation of astrocyte activation is associated with the increase of D-serine in the spinal cord dorsal horn. 3. whether the inhibition of Sig-1R or p38, which modulates astrocyte activity is associated with MA development in CCI mice. In addition, the role of D-serine in the induction of Sig-1R-mediated MA was also investigated in CCI mice. MATERIALS AND METHODS: Primary astrocyte-enriched cell cultures were prepared from newborn C57BL/6 mice. Other experiments were performed on male ICR mice (20-25g). A CCI of the common sciatic nerve was performed according to the method described by Bennett and Xie. For intrathecal injection, I used the modified method of direct transcutaneous intrathecal injection on mice described by Hylden and Wilcox. Sensitization to innocuous mechanical stimulation (MA) was examined using von Frey filaments with forces of a 0.16 g. To assess nociceptive responses to heat stimuli, sensitization to noxious heat stimulation (TH) was examined with a hot-plate apparatus or Hargreaves apparatus. In the present study, the Sig-1R agonist, PRE-084 (3 nmol), its antagonist, BD-1047 (100 nmol), a ERK inhibitor, PD98059 (3, 10, 30 nmol), a p38 inhibitor, SB203580 (0.1, 0.3, 1, 3, 10 nmol), an astroglial metabolic inhibitor, fluorocitrate (0.003, 0.001, 0.03 nmol) and a serine racemase inhibitor, LSOS (1, 3, 10 nmol) were used. Immunohistochemistry and Western blot assay were performed according to each experiment procedure. The computer-assisted image analysis system (Metamorph) was utilized throughout whole experiments. RESULTS: 1. The expression of Sig-1Rs was significantly increased in astrocytes on day 3 following CCI surgery in mice. In cultured astrocytes, Sig-1R expression was also found, and the treatment of PRE-084 increased phosphorylation of ERK and p38, but not JNK. While intrathecal pretreatment with PD98059 inhibited both PRE-084-induced MA and TH, SB203580 dose-dependently inhibited PRE-084-induced MA, but not TH induction was not affected. Intrathecal injection of PRE-084 into naรฏve mice time-dependently increased the expression of p38 phosphorylation (p-p38), which was blocked by pretreatment with BD-1047. 2. The activation of astrocyte and microglia were increased in the spinal cord on day 3 following CCI surgery in mice. Sustained intrathecal treatment with the BD-1047 during the induction phase (postoperative days 0 to 3), attenuated CCI-induced increase in activation of astrocyte, but not microglia. The number of p-p38-ir astrocytes and neurons, but not microglia was also significantly increased after CCI surgery. Interestingly, intrathecal BD-1047 attenuated the expression of p-p38 selectively in astrocytes but not in neurons. Moreover, intrathecal treatment with a p38 inhibitor attenuated the GFAP expression. The level of D-serine and Serine racemase (Srr) expression were significantly increased in the spinal cord after CCI surgery. D-serine was localized in astrocyte and accumulated around neuron. Srr was also found in astrocyte. The increased level of D-serine was attenuated by sustained intrathecal treatment with BD-1047. Accordingly, Srr expression was also reduced by BD-1047 treatment and I found Srr expression was located on the same cell with Sig-1R-ir cells. 3. Sustained intrathecal treatment with the BD-1047 combined with fluorocitrate synergistically reduced the development of MA, but not TH. Moreover, intrathecal treatment with a p38 inhibitor combined with fluorocitrate synergistically blocked the induction of MA. In addition, sustained intrathecal treatment with the Srr inhibitor reduced the development of MA, and the blockade by BD-1047 treatment was reversed by exogenous D-serine. CONCLUSIONS: The present study demonstrates that the direct activation of spinal Sig-1R significantly increased p-p38 and the activation of spinal p38 was closely involved with the Sig-1R-mediated MA, but not TH. In CCI mice, spinal Sig-1R expression are increased in astrocytes, and that blockade of Sig-1Rs inhibits the pathologic activation of astrocytes via modulation of p-p38, which ultimately prevents the development of MA. The present study also indicates that the Sig-1R-mediated MA is developed by an increase of Srr expression, which in turn causes an increase of D-serine level in the spinal cord of CCI mice. Collectively these findings imply that the increase of p-p38 and D-serine induced by spinal Sig-1R plays an important role in the development of MA in neuropathic pain and further suggest that MA development could be clinically controlled by the Sig-1R modulation.BACKGROUND 1 OBJECTIVES 10 INTRODUCTION 11 MATERIALS & METHODS 17 1 Animal preparation 17 2 Primary astrocyte cultures 17 3 Intrathecal drug injection 18 4 Mechanical allodynia assay 19 5 Thermal hyperalgesia assay 20 6 Western blotting analysis 21 7 Immunohistochemistry 22 8 Image analysis 24 9 Statistical analysis 26 RESULTS 28 1 Cellular distribution of spinal Sig-1Rs and related MAPKs phosphorylation 28 2 The histological and physiological relationships among Sig-1R, p-p38 and astrocyte activation in the spinal cord of CCI mice 41 3 Releasing factor induced by spinal Sig-1R in CCI mice 55 4 Effects on CCI-induced MA and TH 67 DISCUSSION 76 SUMMARY 87 REFERENCES 89 ABSTRACT IN KOREAN 103Docto

    Computational and experimental analysis of JIP1-dependent JNK MAP kinase pathway

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    Thesis(masters) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ˜‘๋™๊ณผ์ • ์ƒ๋ฌผ์ •๋ณดํ•™์ „๊ณต,2008. 8.Maste

    DeepASMR: Deep Learning-based ASMR Platform

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021. 2. ๊ณ ํ˜•์„.์ตœ๊ทผ ASMR(Autonomous Sensory Meridian Response)์ด๋ผ๊ณ  ๋ถˆ๋ฆฌ๋Š” ์‹ฌ๋ฆฌ์  ์•ˆ์ •๊ฐ์„ ์ œ๊ณตํ•˜๋Š” ํŠน๋ณ„ํ•œ ์†Œ๋ฆฌ์— ๊ด€์‹ฌ์ด ๋†’์•„์ง€๊ณ  ์žˆ์œผ๋ฉฐ ๊ด€๋ จ ๋น„์ฆˆ๋‹ˆ์Šค๋„ ํ™œ๋ฐœํžˆ ์‹œ์ž‘๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ASMR ์Œ์› ๊ฐœ๋ฐœ์€ ๋งŽ์€ ์‹œ๊ฐ„๊ณผ ๋…ธ๋ ฅ์ด ํ•„์š”ํ•˜์—ฌ ์ƒ์‚ฐ์„ฑ ๋ฌธ์ œ๊ฐ€ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋”ฅ๋Ÿฌ๋‹์„ ์ด์šฉํ•˜์—ฌ ๊ธฐ์กด ASMR ์Œ์›๋“ค์„ ๋ชจ์œผ๊ณ  ๋ถ„๋ฅ˜ํ•˜๋ฉฐ ์‚ฌ์šฉ์ž์˜ ์„ ํ˜ธ๋„๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ƒˆ๋กœ์šด ASMR ์Œ์›์„ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ๋Š” ํ”Œ๋žซํผ์ธ DeepASMR์„ ์ œ์•ˆํ•œ๋‹ค. DeepASMR์€ ASMR ์Œ์› ๋ถ„๋ฅ˜ ๋ฐ ์ธ์‹์„ ์œ„ํ•ด ๊ธฐ์กด์˜ ์Œ์•… ์ธ์‹์ด๋‚˜ ์†Œ์Œ ์ธ์‹์„ ์œ„ํ•œ DNN๋ณด๋‹ค ๊ฐœ์„ ๋œ DNN ๋ชจ๋ธ๋“ค์„ ๊ตฌ์ถ•ํ•˜์—ฌ ๋ถ„๋ฅ˜์˜ ์ •ํ™•๋„๋ฅผ 95% ์ด์ƒ๊นŒ์ง€ ๋†’์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ธํ„ฐ๋„ท์— ์žˆ๋Š” ASMR ์Œ์›๋“ค์„ ๋ถ„๋ฅ˜ํ•˜์—ฌ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ๋งŒ๋“ค๊ณ , ์‚ฌ์šฉ์ž์—๊ฒŒ ์ž๊ทน(trigger)์ด ๋˜๋Š” ASMR์„ ์‰ฝ๊ฒŒ ์ฐพ์„ ์ˆ˜ ์žˆ๋„๋ก ํ•œ๋‹ค. ๋˜ํ•œ DNN์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ธฐ์กด ASMR ์Œ์›๋“ค์„ ๋ณ€ํ˜•ํ•˜๊ฑฐ๋‚˜ ํ•ฉ์„ฑํ•˜๋Š” ๋ฐฉ์‹์œผ๋กœ ์ƒˆ๋กœ์šด ASMR ์Œ์›์„ ์ƒ์‚ฐํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด VAE(Variational Autoencoder) ๋ฐ GAN(Generative Adversarial Network) ๋ฐฉ์‹์„ ์ด์šฉํ•˜์—ฌ ASMR ์Œ์› ์ƒ์„ฑ DNN ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ƒ์„ฑ๋œ ASMR ์Œ์›๋“ค์„ ์šฐ๋ฆฌ์˜ ๋ถ„๋ฅ˜ DNN ๋ชจ๋ธ์— ์ž…๋ ฅํ•˜์—ฌ ๊ทธ ์ •ํ™•์„ฑ์„ ๊ฒ€์ฆํ•œ ๊ฒฐ๊ณผ, 70% ์ด์ƒ์˜ ์ •ํ™•๋„๋ฅผ ๋ณด์—ฌ ์ œ์•ˆํ•˜๋Š” DNN ๋ชจ๋ธ์ด ์–‘์งˆ์˜ ASMR ์Œ์›๋“ค์„ ์ƒ์„ฑํ•˜์˜€์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค.In the recent decade, a new genre of sounds called ASMR (Autonomous Sensory Meridian Response) became an internet sensation. ASMR refers to a group of special sounds that are known to trigger psychological comfort. ASMR sounds usually refer to everyday noise-like sounds (i.e. tapping or whispering), but quietened and isolated without any background noise. Due to its quality to trigger comfort, ASMR sound is often referred to as a trigger. Attracting millions of people throughout the world, ASMR made its way into various businesses, from being the subject of various television advertisements to creating professions that create quality ASMR sounds. Regardless of the platform, the process of creating quality ASMR sounds brings up the issue of low productivity, due to the excessive amount of time and effort it requires. This dissertation proposes DeepASMR, an ASMR platform based on deep learning that improves productivity of creating ASMR sounds. DeepASMR, uses deep neural networks (DNN) to classify the collected ASMR sounds and create new sounds based on the existing ones. Our proposed DNN model can increase the accuracy of classification of ASMR sounds up to 95%, surpassing the performance of existing DNN models used for urban sound or music classification. With this model, it is possible to efficiently create a large labelled database for various ASMR sounds, which allows users to explore and correctly identify ones triggers. Furthermore, methods for generating new ASMR sounds using DNN by either modifying or merging trigger sounds are proposed. We constructed DNN models for generation using the VAE (Variational Autoencoder) model and the GAN (Generative Adversarial Network) model. Finally, after generating ASMR sounds with our model for each chosen trigger, we fed the generated samples back into our classification model as inputs. This resulted in over 70% in accuracy, indicating our proposed generation model created quality ASMR sounds.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 2 ์žฅ ๋ฐฐ๊ฒฝ์ง€์‹ 3 ์ œ 3 ์žฅ ๋”ฅ๋Ÿฌ๋‹์„ ์ด์šฉํ•œ ASMR ๋ถ„๋ฅ˜ 7 ์ œ 4 ์žฅ ๋”ฅ๋Ÿฌ๋‹์„ ์ด์šฉํ•œ ASMR ์ƒ์„ฑ 9 ์ œ 5 ์žฅ ์‹คํ—˜๊ฒฐ๊ณผ 13 ์ œ 6 ์žฅ ๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ 23 ์ฐธ๊ณ ๋ฌธํ—Œ 24 Abstract 26Maste

    ๊ฑด๊ฐ•ํ–‰๋™๊ณผ ์‚ฌํšŒ์  ์ž๋ณธ์ด ๊ฑด๊ฐ•์ƒํƒœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๊ด€ํ•œ ์—ฐ๊ตฌ : ๊ฑด๊ฐ•๋„์‹œ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    Dept. of Health Administration/๋ฐ•์‚ฌ[ํ•œ๊ธ€] [์˜๋ฌธ]The purpose of this research is to provide the evidence for Healthy City development and program development through the investigation of the impact of health behavior, and social capital on health status by comparing a Healthy City and a non-Healthy City. The subjects of this research are a non-Healthy City located in Gyeonggi province and a Healthy City located in Seoul, which has started the Healthy City project in 2005. For the non-Healthy City, a survey targeting 729 people was conducted in May 2008 and for the Healthy City, a survey targeting 599 people was conducted in January 2010. In order to supplement the results of the survey, a semi-structured questionnaire was used and an interview with the persons responsible for the Healthy City project was carried out. The important results of this study are as follows.First, for health behaviors, the results of the study show that the respondents of the Healthy City drink less alcohol than respondents of the non-Healthy City and exercise more. For social capital, the respondents of the Healthy City has more trust in neighbors, had a sense of belonging to where they live, and participated in more volunteer activities than respondents of the non-Healthy City. Second, in regards to self-rated health, there were more respondents of the Healthy City who felt healthy and who felt less suicidal impulsiveness compared to respondents of the non-Healthy City. On the other hand, there were more chronic diseases in the Healthy City than the non-Healthy City. In the case of BMI, the difference between the Healthy City and the non-Healthy City is statistical insignificance.Third, after analyzing the four factors affecting the health status indicator (self-rated health, suicidal impulsiveness, chronic diseases, BMI), it was found that a male living in the Healthy City had good self-rated health if he was younger, had more trust in neighbors, volunteered, and gave help to those who need it. In regards to suicidal impulsiveness, those who lived in the Healthy City, was male, graduated from a college or higher, and had trust in neighbors felt less suicidal impulsiveness. For chronic diseases, there are more people with chronic diseases as the age increased for males. In regards to BMI, it was higher for those who lived in the Healthy City, those who are male, those who are older, those who are farmers or self-employed and those who had a spouse. In conclusion, those who lived in the Healthy City showed good health behavior, good social capital and self-rated health and the suicidal impulsiveness was generally low. It can be thought that the Healthy City's governance structure, healthy public policies, and healthy environment have an effect on theses positive results. This study's result shows that it is effective for local government to develop programs that contribute to the resident's health improvement through guiding residents to act in health behavior and educate the persons responsible for the Healthy City project on social capital by choosing a Healthy City strategy, forming a healthy environment, and collecting healthy public policies.ope

    Effects of oxalate and vitamin C supplementations on calcium status in ovariectomized rats fed low calcium diet

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‹ํ’ˆ์˜์–‘ํ•™๊ณผ, 2012. 8. ํ•œ์„ฑ๋ฆผ.ํ๊ฒฝ๊ธฐ ์—ฌ์„ฑ์˜ ์—์ŠคํŠธ๋กœ๊ฒ ๊ฒฐํ•๊ณผ ์นผ์Š˜ ์„ญ์ทจ๋Ÿ‰ ๋ถ€์กฑ์€ ํ๊ฒฝ ํ›„ ๊ณจ๋‹ค๊ณต์ฆ์˜ ์ฃผ์š” ์œ„ํ—˜์ธ์ž๋กœ ์ž‘์šฉํ•œ๋‹ค. ์ˆ˜์‚ฐ ์„ญ์ทจ๊ฐ€ ์นผ์Š˜์˜ ํก์ˆ˜์— ์ข‹์ง€ ์•Š์€ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ์œผ๋‚˜ ์•„์ง ์ˆ˜์‚ฐ์ด ์นผ์Š˜ ์„ญ์ทจ๊ฐ€ ๋ถ€์กฑํ•œ ์ƒํƒœ์—์„œ ๊ณจ๊ฒฉ ๋Œ€์‚ฌ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๊ณผ ๊ทธ์— ๋Œ€ํ•œ ๋ฉ”์ปค๋‹ˆ์ฆ˜์€ ๊ทœ๋ช…๋˜์–ด ์žˆ์ง€ ์•Š๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‚œ์†Œ๋ฅผ ์ ˆ์ œํ•œ ํฐ์ฅ์— ์ €์นผ์Š˜ ์‹์ด๋ฅผ ์ œ๊ณตํ•˜์—ฌ ๊ณจ๋‹ค๊ณต์ฆ์ด ์œ ๋ฐœ๋  ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์€ ๋™๋ฌผ๋ชจ๋ธ์—์„œ ์ˆ˜์‚ฐ๊ณผ ๋น„ํƒ€๋ฏผ C์˜ ๊ณผ๋‹ค ์„ญ์ทจ๊ฐ€ ์นผ์Š˜์˜ ์˜์–‘ ์ƒํƒœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•ด ์•Œ์•„๋ณด์•˜๋‹ค. 8์ฃผ๋ น์˜ ์•”์ปท Sprague-Dawley rats์— ๋‚œ์†Œ ์ ˆ์ œ์ˆ ์„ ์‹œํ–‰ํ•˜๊ณ  4๊ตฐ์œผ๋กœ ๋‚˜๋ˆˆ ํ›„ ๋„ค ๊ฐ€์ง€ ์‹คํ—˜์‹์ด๋ฅผ ๊ฐ๊ฐ 4์ฃผ๊ฐ„ ์ œ๊ณตํ•˜์˜€๋‹ค. ์‹คํ—˜์‹์ด๋Š” ์ €์นผ์Š˜ ์‹์ด (Low Ca (0.1% w/w) dietLCa), ์ˆ˜์‚ฐ์„ ๋ณด์ถฉํ•œ ์ €์นผ์Š˜ ์‹์ด (Low Ca diet supplemented with sodium oxalate (0.5% w/w)LCa-Ox), ๋น„ํƒ€๋ฏผ C๋ฅผ ๋ณด์ถฉํ•œ ์ €์นผ์Š˜ ์‹์ด (Low Ca diet supplemented with vitamin C (2% w/w)LCa-VitC), ๋น„ํƒ€๋ฏผ C์™€ ์ˆ˜์‚ฐ์„ ๋ณด์ถฉํ•œ ์ €์นผ์Š˜ ์‹์ด (Low Ca diet supplemented with vitamin C (2% w/w) and sodium oxalate (0.5% w/w)LCa-VitC-Ox)์˜ ๋„ค ๊ฐ€์ง€์˜€๋‹ค. 4์ฃผ ํ›„์— ๋ชจ๋“  ์‹คํ—˜๋™๋ฌผ์„ ํฌ์ƒ์‹œํ‚ค๊ณ  ์‹œ๋ฃŒ๋ฅผ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ์ฒด์ค‘ ์ฆ๊ฐ€๋Ÿ‰, ํ˜ˆ์žฅ ์ด ๋‹จ๋ฐฑ์งˆ, ์•Œ๋ถ€๋ฏผ, ํ˜ˆ์ค‘์š”์†Œ์งˆ์†Œ(BUN), ํฌ๋ ˆ์•„ํ‹ฐ๋‹Œ, ๋ฌด๊ธฐ์งˆ(์นผ์Š˜, ๋งˆ๊ทธ๋„ค์Š˜, ์ธ) ๋†๋„, ์ด ์นผ์Š˜๊ณผ ์ˆ˜์‚ฐ ๋ฐฐ์„ค๋Ÿ‰, ์š”์ถ”์™€ ๋Œ€ํ‡ด๊ณจ, ์—ฐ์กฐ์ง์˜ ๋ฌด๊ธฐ์งˆ ํ•จ๋Ÿ‰์„ ์ธก์ •ํ•˜์˜€๋‹ค. ์ˆ˜์‚ฐ๊ณผ ๋น„ํƒ€๋ฏผ C ๊ทธ๋ฆฌ๊ณ  ๋‘ ์‹์ด์š”์ธ์˜ ์ƒํ˜ธ์ž‘์šฉ ํšจ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ์ด์›๋ถ„์‚ฐ๋ถ„์„(two-way ANOVA)์„ ์‹ค์‹œํ•˜์˜€๊ณ , ๊ทธ๋ฃน ๊ฐ„ ์œ ์˜์„ฑ์€ Duncans multiple range test๋กœ P < 0.05 ์ˆ˜์ค€์—์„œ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์ดˆ๊ธฐ์ฒด์ค‘์€ ๊ตฐ ๊ฐ„ ์œ ์˜์ ์ธ ์ฐจ์ด๊ฐ€ ์—†์—ˆ์œผ๋‚˜ ์ตœ์ข…์ฒด์ค‘์€ ์ˆ˜์‚ฐ๊ณผ ๋น„ํƒ€๋ฏผ C ๊ฐ„์— ์ƒํ˜ธ์ž‘์šฉ์ด ์žˆ์—ˆ๋‹ค. ์ˆ˜์‚ฐ๋งŒ ๋ณด์ถฉํ•œ ๊ตฐ์€ ๋ณด์ถฉํ•˜์ง€ ์•Š์€ ๊ตฐ์— ๋น„ํ•ด ์ตœ์ข…์ฒด์ค‘์— ์œ ์˜์ ์ธ ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋น„ํƒ€๋ฏผ C๊ฐ€ ๋ณด์ถฉ๋œ ๊ตฐ์—์„œ ์ˆ˜์‚ฐ์„ ๋ณด์ถฉํ•˜์˜€์„ ๋•Œ์—๋Š” ๋น„ํƒ€๋ฏผ C๋งŒ ๋ณด์ถฉํ•œ ๊ตฐ์— ๋น„ํ•ด ์œ ์˜์ ์œผ๋กœ ์ตœ์ข…์ฒด์ค‘์ด ๋‚ฎ์•˜๋‹ค. ์‹์ด ๋ฐ ์‹์ˆ˜ ์„ญ์ทจ๋Ÿ‰์€ ๊ตฐ ๊ฐ„ ์œ ์˜์ ์ธ ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. ๋‡จ์™€ ๋ถ„์„ ํ†ตํ•œ ํ•˜๋ฃจ ์ด ์นผ์Š˜ ๋ฐฐ์„ค๋Ÿ‰์€ ์ˆ˜์‚ฐ์„ ๋ณด์ถฉํ•œ ๊ตฐ์—์„œ ์œ ์˜์ ์œผ๋กœ ๋†’์•˜๋‹ค. ์ˆ˜์‚ฐ ๋ณด์ถฉ์— ์˜ํ•ด ๋†’์•„์ง„ ์นผ์Š˜ ๋ฐฐ์„ค์€ ๋‡จ ๋ณด๋‹ค๋Š” ๋ถ„์„ ํ†ตํ•œ ๋ฐฐ์„ค ๋•Œ๋ฌธ์œผ๋กœ ๋Œ€์กฐ๊ตฐ์— ๋น„ํ•ด ์ˆ˜์‚ฐ ๋ณด์ถฉ๊ตฐ์—์„œ ์•ฝ 10๋ฐฐ ๋” ๋งŽ์€ ์–‘์˜ ์นผ์Š˜์ด ๋ถ„์„ ํ†ตํ•ด ๋ฐฐ์„ค๋˜์—ˆ๋‹ค. ๋‡จ์™€ ๋ถ„์„ ํ†ตํ•œ ํ•˜๋ฃจ ์ด ์ˆ˜์‚ฐ ๋ฐฐ์„ค๋Ÿ‰ ์—ญ์‹œ ์ˆ˜์‚ฐ ๋ณด์ถฉ๊ตฐ์—์„œ ์œ ์˜์ ์œผ๋กœ ๋†’์•˜๊ณ , ๋‡จ ์ค‘ ์ˆ˜์‚ฐ ๋ฐฐ์„ค๋Ÿ‰์€ ๋น„ํƒ€๋ฏผ C์™€ ์ˆ˜์‚ฐ์„ ๋ณด์ถฉํ•˜์˜€์„ ๋•Œ ์ˆ˜์‚ฐ๋งŒ ๋ณด์ถฉํ•œ ๊ฒฝ์šฐ๋ณด๋‹ค ๋” ๋†’์•˜๋‹ค. ํ˜ˆ์žฅ ์ด ๋‹จ๋ฐฑ์งˆ, ์•Œ๋ถ€๋ฏผ, ํ˜ˆ์ค‘์š”์†Œ์งˆ์†Œ์˜ ๋†๋„๋Š” ๊ตฐ ๊ฐ„ ์œ ์˜์ ์ธ ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. ํ˜ˆ์žฅ ํฌ๋ ˆ์•„ํ‹ฐ๋‹Œ ๋†๋„๋Š” ์ˆ˜์‚ฐ ๋ณด์ถฉ๊ตฐ์—์„œ ์œ ์˜์ ์œผ๋กœ ๋†’์•˜๊ณ  ๋น„ํƒ€๋ฏผ C ๋ณด์ถฉ๊ตฐ์—์„œ ์œ ์˜์ ์œผ๋กœ ๋‚ฎ์•˜๋‹ค. ํ˜ˆ์žฅ ์นผ์Š˜ํ•จ๋Ÿ‰์€ ์ˆ˜์‚ฐ๊ณผ ๋น„ํƒ€๋ฏผ C ๊ฐ„์— ์ƒํ˜ธ์ž‘์šฉ์ด ์žˆ์—ˆ๋‹ค. ์ˆ˜์‚ฐ๋งŒ ๋ณด์ถฉํ•œ ๊ตฐ์€ ๋ณด์ถฉํ•˜์ง€ ์•Š์€ ๊ตฐ์— ๋น„ํ•ด ํ˜ˆ์žฅ ์นผ์Š˜๋†๋„์— ์œ ์˜์ ์ธ ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋น„ํƒ€๋ฏผ C๊ฐ€ ๋ณด์ถฉ๋œ ๊ตฐ์—์„œ ์ˆ˜์‚ฐ์„ ๋ณด์ถฉํ•˜์˜€์„ ๋•Œ์—๋Š” ๋น„ํƒ€๋ฏผ C๋งŒ ๋ณด์ถฉํ•œ ๊ตฐ์— ๋น„ํ•ด ํ˜ˆ์žฅ ์นผ์Š˜๋†๋„๊ฐ€ ์œ ์˜์ ์œผ๋กœ ๋‚ฎ์•˜๋‹ค. ์š”์ถ”(L2~L5)์™€ ๋Œ€ํ‡ด๊ณจ์˜ ์นผ์Š˜ ํ•จ๋Ÿ‰์€ ์ˆ˜์‚ฐ ๋ณด์ถฉ๊ตฐ์—์„œ ์œ ์˜์ ์œผ๋กœ ๋‚ฎ์•˜๋‹ค. ์—ฐ์กฐ์ง์˜ ์นผ์Š˜ ํ•จ๋Ÿ‰์€ ๋น„์žฅ์—์„œ ์ˆ˜์‚ฐ ์„ญ์ทจ์— ์˜ํ•ด ๋†’์•„์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€์œผ๋‚˜ ๋‹ค๋ฅธ ์กฐ์ง์—์„œ๋Š” ๊ตฐ ๊ฐ„ ์œ ์˜์ ์ธ ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์นผ์Š˜ ์„ญ์ทจ๊ฐ€ ๋ถ€์กฑํ•œ ํ๊ฒฝ๊ธฐ ์—ฌ์„ฑ์ด ์ˆ˜์‚ฐ์„ ๊ณผ๋‹ค ์„ญ์ทจํ•  ์‹œ ๊ณจ ์†์‹ค์ด ์œ ๋ฐœ๋  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋น„ํƒ€๋ฏผ C๋ฅผ ๋‹จ๋…์œผ๋กœ ๊ณผ๋‹ค ์„ญ์ทจํ•ด๋„ ์„ญ์ทจํ•˜์ง€ ์•Š์„ ๋•Œ์™€ ๋น„๊ตํ•˜์—ฌ ์ฒด๋‚ด ์นผ์Š˜ ๋Œ€์‚ฌ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š๋Š” ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. ๋‹ค๋งŒ ์ˆ˜์‚ฐ๊ณผ ํ•จ๊ป˜ ๋น„ํƒ€๋ฏผ C๋ฅผ ๊ณผ๋‹ค ์„ญ์ทจํ•  ๋•Œ์—๋Š” ๊ณ -์ˆ˜์‚ฐ๋‡จ์ฆ์ด ์œ ๋ฐœ๋˜์–ด ์‹ ์žฅ ๊ฒฐ์„์˜ ์œ„ํ—˜์ธ์ž๋กœ ์ž‘์šฉํ•  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค.Estrogen withdrawal is a well established risk factor for fracture and disturbance in calcium balance for postmenopausal women. Oxalate has been suggested as one of the factors causing calcium imbalance. High intake of calcium and oxalate can result in formation of insoluble salts in the intestine. However, the effect of dietary intake of oxalate combined with low calcium intake on calcium status has not been investigated. The objective of this study was to evaluate the effect of oxalate intake on calcium excretion and bone calcium content in ovariectomized rats fed low calcium diet. We also evaluated whether excessive intake of vitamin C, which is metabolized to oxalate, can cause kidney calcification. Thirty ovariectomized rats were randomly divided into four dietary groups: low calcium (0.1% Ca w/w) diet (control, LCa)LCa supplemented with sodium oxalate (0.5% Ox w/w) (LCa-Ox)LCa supplemented with vitamin C (2% VitC w/w) (LCa-VitC)LCa supplemented with vitamin C (2% VitC w/w) and sodium oxalate (0.5% Ox w/w) (LCa-VitC-Ox). The experimental diets were fed for 4 weeks. Body weight gain, plasma creatinine and calcium levels, total calcium and oxalic acid excretions, calcium contents in lumbar vertebrae, femur, and soft tissues were determined. Two-way ANOVA test was carried out to examine the effect of oxalate and vitamin C supplementations and interaction between the two factors. Individual comparisons among groups were done by Duncans multiple comparison procedure. Total 24-hr calcium and oxalic acid excretion, the sum of urinary and fecal excretion, was higher in oxalate supplemented groups. Calcium content in lumbar vertebrae and femur was lower in oxalate supplemented groups. LCa-VitC-Ox group had higher urinary oxalic acid excretion than LCa-VitC group. However, high intake of vitamin C did not affect calcium excretion and bone calcium content. The results from this study suggested that oxalate supplementation resulted in increased total 24-hr calcium excretion and bone calcium resorption in ovariectomized rats fed low calcium diet. The implication of this study is that excessive dietary intake of oxalate can lead to exacerbation of calcium status in already calcium-deficient condition associated with menopause and low dietary calcium intake.๊ตญ๋ฌธ์ดˆ๋กโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โ…ฐ ๋ชฉ ์ฐจโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โ…ณ ํ‘œ ๋ชฉ์ฐจโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โ…ต ๊ทธ๋ฆผ ๋ชฉ์ฐจโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โ…ท ๋ถ€๋ก ๋ชฉ์ฐจโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โ…ธ โ… . ์„œ๋ก  1. ์—ฐ๊ตฌ๋ฐฐ๊ฒฝโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™1 2. ์—ฐ๊ตฌ๋ชฉ์ โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™11 โ…ก. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 1. ์‹คํ—˜์„ค๊ณ„ ๋ฐ ์‹คํ—˜๋™๋ฌผโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™12 2. ์‹คํ—˜์‹์ดโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™14 3. ์‹œ๋ฃŒ์ˆ˜์ง‘โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™17 4. ์‹คํ—˜๋ฐฉ๋ฒ•โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™19 5. ํ†ต๊ณ„๋ถ„์„โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™24 โ…ข. ์‹คํ—˜๊ฒฐ๊ณผ 1. ์ฒด์ค‘์ฆ๊ฐ€ ๋ฐ ์‹์ด, ์‹์ˆ˜์„ญ์ทจ๋Ÿ‰โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™25 2. ๋‡จ์™€ ๋ถ„ ๋ถ„์„ 2.1. ๋‡จ ๋ฐฐ์„ค๋Ÿ‰ ๋ฐ ์‹ ๊ธฐ๋Šฅ ์ง€ํ‘œโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™28 2.2. ๋‡จ์™€ ๋ถ„ ์ค‘ ํ•˜๋ฃจ ์ด ์นผ์Š˜, ์ˆ˜์‚ฐ ๋ฐฐ์„ค๋Ÿ‰โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™30 2.3. ๋‡จ ์ค‘ ๋ฌด๊ธฐ์งˆ๊ณผ ์ˆ˜์‚ฐ ๋ฐฐ์„ค๋Ÿ‰โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™32 2.4. ๋ถ„ ์ค‘ ์นผ์Š˜๊ณผ ์ˆ˜์‚ฐ ๋ฐฐ์„ค๋Ÿ‰โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™34 2.5. ๋‡จ์™€ ๋ถ„ ์ค‘ ์‹œํŠธ๋ฅด์‚ฐ๊ณผ ์•„์„ธํŠธ์‚ฐ ๋ฐฐ์„ค๋Ÿ‰โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™37 3. ํ˜ˆ์žฅ ๋ถ„์„ 3.1. ์‹ ์žฅ ๋ฐ ๊ฐ„ ๊ธฐ๋Šฅ ์ง€ํ‘œโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™38 3.2. ํ˜ˆ์žฅ ALP ํ™œ์„ฑ ๋ฐ Ca, Mg, P ๋†๋„โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™40 4. ์š”์ถ” ๋ฐ ๋Œ€ํ‡ด๊ณจ ๋ถ„์„ 4.1. ์š”์ถ”, ๋Œ€ํ‡ด์˜ ๋ฌด๊ฒŒ ๋ฐ ๊ธธ์ดโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™42 4.2. ์š”์ถ”, ๋Œ€ํ‡ด๊ณจ์˜ ๋ฌด๊ธฐ์งˆ ํ•จ๋Ÿ‰โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™45 5. ์กฐ์ง ๋ถ„์„ 5.1. ์ƒ์กฐ์ง ๋ฌด๊ฒŒ ๋ฐ ์กฐ์ง์˜ ๋ฌด๊ธฐ์งˆ ํ•จ๋Ÿ‰โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™49 โ…ฃ. ๊ณ ์ฐฐโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™58 โ…ค. ์š”์•ฝ ๋ฐ ๊ฒฐ๋ก โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™64 ์ฐธ๊ณ ๋ฌธํ—Œโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™66 ์•ฝ์–ด ๋ชฉ๋กโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™72 ๋ถ€๋กโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™73 ์˜๋ฌธ์ดˆ๋กโˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™โˆ™77Maste

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    A Study on the Origin/Destination of Container Transshipment Cargo of Busan Port

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    Economic globalization removes the border between companies of each countries. The importance of international logistics is being more and more critical as the point of various logistic activities such as production, distribution, consumption are not the same anymore. Henceforth, Northeast Asian economy is expected to achieve high growth constantly in comparison of other economic region in the world. For such a reason, increase in container traffic will be brought and intense competition is also expected between nations to attract cargo. Generally, trans-shipment traffic is in the trend of increase since the growth of world's container market and ship upsizing trend. Furthermore, trans-shipment cargo create big added value. Attracting trans-shipment cargo is a must do of Busan Port because now in South Korea, domestic manufacturers are moving out to foreign countries so Korea is losing its own domestic originated cargo traffic. Hence, this study aims at figuring out the trend of trans-shipment traffic increase and movement and analysing trans-shipment figures of Busan, Japanese and Chinese ports to enhance the marketing strategy for Busan port by conducted O/D analysis of Busan port in Northeast region. Currently, Asian ports are rising. Specially, port of Shanghai is now ranked 2nd among the all ports in the world. Based on increase of container throughput, trans-shipment market in this region has been also developed and the competition between Busan, Yangshan new port(Shanghai), Singapore, Tanjung Pelepas, Kao-hsiung, Hong Kong and Shenzhen are very fierce promising incentives to provide. The analysis of trans-sihpment over East Asia shows inbound shipment from Japan, outbound to china and vice versa are increasing year by year. This denotes that Busan port takes advantages from its geopolitical condition, lower cost of labor than Japanese port and more advanced system than Chinese port. Busan port takes an important role as an intermediary trade port between Japan and China. In conclusion, port policy and strategy to attract transshipment cargo must be developed taking all these conditions into consideration.์ œ1์žฅ ์„œ๋ก  1 1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2 ์—ฐ๊ตฌ์˜ ์ˆ˜ํ–‰ ๋ฐฉ๋ฒ• ๋ฐ ๊ตฌ์„ฑ 1 ์ œ2์žฅ ์„ธ๊ณ„ ์ปจํ…Œ์ด๋„ˆ ํ™˜์ ํ™”๋ฌผ์‹œ์žฅ์˜ ํ˜„ํ™ฉ 3 2.1 ์ปจํ…Œ์ด๋„ˆ ์‹œ์žฅ์˜ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ํ™˜์ ํ™”๋ฌผ ํ˜„ํ™ฉ 3 2.1.1 ์ปจํ…Œ์ด๋„ˆ ์‹œ์žฅ์˜ ๋ณ€ํ™” 3 2.1.2 ํ™˜์ ํ™”๋ฌผ ํ˜„ํ™ฉ 8 2.2 ์„ ํ–‰์—ฐ๊ตฌ ๊ณ ์ฐฐ 13 ์ œ3์žฅ ์ฃผ์š” ์ปจํ…Œ์ด๋„ˆ ํ™˜์ ํ•ญ๋งŒ ๋ถ„์„ 17 3.1 ์„ธ๊ณ„ ์ปจํ…Œ์ด๋„ˆ ํ™˜์ ํ•ญ๋งŒ ๋ถ„์„ 17 3.1.1 ์„ธ๊ณ„ ์ฃผ์š” ํ™˜์ ํ•ญ๋งŒ ๋™ํ–ฅ 18 3.1.2 ์„ธ๊ณ„ ์ฃผ์š” ํ™˜์ ํ•ญ๋งŒ์˜ ํŠน์„ฑ 28 3.2 ๋™๋ถ์•„ ์ปจํ…Œ์ด๋„ˆ ํ™˜์ ํ•ญ๋งŒ ๋ถ„์„ 29 3.2.1 ์ค‘๊ตญ์˜ ํ™˜์  ๋™ํ–ฅ 30 3.2.2 ์ผ๋ณธ์˜ ํ™˜์  ๋™ํ–ฅ 37 3.2.3 ๋ถ€์‚ฐํ•ญ์˜ ํ™˜์  ๋™ํ–ฅ 41 3.2.4 ๋™๋ถ์•„ ์ฃผ์š” ํ™˜์ ํ•ญ๋งŒ์˜ ํŠน์„ฑ 44 ์ œ4์žฅ ๋ถ€์‚ฐํ•ญ ์ปจํ…Œ์ด๋„ˆ ํ™˜์ ํ™”๋ฌผ ๋„คํŠธ์›Œํฌ ๋ถ„์„ 45 4.1 ๋Œ€์ค‘๊ตญ ๋„คํŠธ์›Œํฌ ๋ถ„์„ 46 4.2 ๋Œ€์ผ๋ณธ ๋„คํŠธ์›Œํฌ ๋ถ„์„ 50 4.3 ์‹œ์‚ฌ์  55 ์ œ5์žฅ ๊ฒฐ๋ก  57 ์ฐธ๊ณ ๋ฌธํ—Œ 5
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