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    ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์„ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ƒํ™œ๊ณผํ•™๋Œ€ํ•™ ์†Œ๋น„์žํ•™๊ณผ, 2022. 8. ๋‚˜์ข…์—ฐ.This study investigated consumersโ€™ adoption of a technology which consists of multiple features. Also, the context that a technology keeps developing was taken into consideration. To this end, the adoption of technology between two different technology levels was examined by paying attention to the section where consumersโ€™ usage experience with a technology leads to acceptance of its developed version. Specifically, the acceptance of Level 3 autonomous driving technology by consumers who have been using Level 2 autonomous driving technology was selected. This study reexamined the concept of technological experience based on various definitions of technology adoption to investigate technology adoption in a context that encompasses two different technology levels. In addition, this study utilizes the social cognitive theory, which can provide a systematic explanation of the process of acceptance of the next-level technology based on the technological experience of the current-level technology. Considering the development of a technology, consumersโ€™ adoption of technology which is composed of multiple features has been reorganized under social cognitive theory as follows. The technological experience of the current-level technology encompasses the process of gradual acceptance of the technology and the behavior and cognition that arise at the usage level reached as a result of this acceptance. This technological experience provides consumers with knowledge that forms a set of expectations in accommodating the next level of technology. Hence, its acceptance is decided even if it is not directly experienced by consumers. In this study, the adoption of the next level of technology based on the technological experience of the currently used technology was termed โ€˜stepwise technology adoption.โ€™ In previous studies, the word โ€˜stepwise adoptionโ€™ has been used in the sense that the adoption of multiple features of a technology is gradually achieved within a single level of the technology (Wilkinson, 2011; Huizingh & Brand, 2009). On the other hand, this study utilizes the same term in a different context. Noting that acceptance can be achieved in a stepwise manner, that is, in the form of steps between two consecutive technology levels, technology adoption encompassing such two technology levels was named โ€˜stepwise technology adoptionโ€™ and was examined both qualitatively and quantitatively. Specifically, the technological experience of consumers using Level 2 autonomous driving technology is examined qualitatively and quantitatively. Subsequently, the effect of the technological experience of consumers using Level 2 autonomous driving technology on their expectations and acceptance intentions for Level 3 autonomous driving technology was verified quantitatively. A qualitative analysis was conducted to explore consumersโ€™ technological experience with Level 2 autonomous driving technology and how they view Level 3 autonomous driving technology. For data collection, 1:1 in-depth interviews were conducted and the results were analyzed through thematic analysis. In the next stage, a quantitative analysis was performed on consumersโ€™ technological experience with Level 2 autonomous driving technology. The items derived from the qualitative analysis were made into the scale of the consumersโ€™ evaluation of Level 2 autonomous driving technology through exploratory/confirmative factor analysis. After classifying the groups according to the usage diversity and usage rate, a t-test was conducted to examine whether the evaluation of the Level 2 autonomous driving technology, the expectations on the Level 3 autonomous driving technology, and the intention to use the Level 3 autonomous driving technology differ according to the level of use of the Level 2 autonomous driving technology. To quantitatively verify the stepwise technology adoption, the following process was performed: A structural equation model was used to examine the relationship between the evaluation of Level 2 autonomous driving technology, expectations of Level 3 autonomous driving technology, and the intention to use Level 3 autonomous driving technology. In addition, a multi-group analysis was conducted to examine whether this structure shows differences according to the level of usage diversity and usage rate of Level 2 autonomous driving technology. The main results of this study are summarized as follows. First, as a result of qualitative exploration of the technological experience with Level 2 autonomous driving technology and consumersโ€™ views on Level 3 autonomous driving technology, the actual initial acceptance and subsequent spread of the use of the technology were found. Additionally, it was found that even if the consumers are continuously using this technology in their daily life, their views on Level 3 autonomous driving technology can be differ according to their level of use of Level 2 autonomous driving technology. In addition, the dimensions of positive and negative evaluations of Level 2 autonomous driving technology were obtained. The subdimensions of positive evaluation included safety, convenience, and productivity. The subdimensions of the negative evaluation included the risk of dependence on the system, inconvenience caused by the lack of system capability, collision between the driver and the system, and issues related to continuous use. Second, from the quantitative analysis conducted to empirically examine these findings, the appropriateness of the subdimensions of positive and negative evaluations was verified. In addition, the difference according to the level of use, which corresponds to the behavioral aspect of the technological experience, was also quantitatively verified. The differences in the evaluation of Level 2 autonomous driving technology, expectations from Level 3 autonomous driving technology, and intention to use Level 3 autonomous driving technology according to the usage diversity and usage rate were observed. The results of differences according to the level of usage diversity and level of usage rate showed slightly different aspects in the negative evaluation of Level 2 autonomous driving technology and expectations for the risk of Level 3 autonomous driving technology. In the case of the negative evaluation of Level 2 autonomous driving technology, the difference between groups based on the level of usage diversity appeared only in the inconvenience caused by the lack of system capability. In contrast, differences between groups according to the level of usage rate appeared in the collision between the driver and the system and the issues of continuous use. In the case of the expected risk of Level 3 autonomous driving technology, the differences between groups according to the level of usage diversity appeared across the accidents caused by the systemโ€™s immaturity in coping with various environmental conditions such as bad weather and with the sudden behavior of other human drivers, and unclear responsibility in the event of an accident. However, differences between groups by the usage rate did not appear in all dimensions of the expected risk of Level 3 autonomous driving technology. This is interpreted as results that occurred because the usage diversity and usage rate were related to the formation of different types of knowledge. The usage diversity is related to obtaining knowledge about the situations in which the system intervenes in driving and the various ranges of the systemโ€™s capability. The usage rate is related to the advancement of the acquired knowledge. For the group with a high level of usage diversity, the range of capabilities of the system they experienced was wider than that for the group with low usage diversity. Therefore, it appears that the group with high usage diversity gave a higher negative evaluation because their evaluation involved judgments about the lack of system capability when the system intervention was significant in complex situations. Knowledge of the various system capabilities obtained from the technological experience with Level 2 autonomous driving technology apparently causes a difference in the formation of expectations for risks of Level 3 autonomous driving technology as well as the expected benefits. The dimensions of the negative evaluation of Level 2 autonomous driving technology, which differed according to the level of usage rate, were the dimensions in which the negative evaluation could be reduced with increased usage. Since the usage rate is related to the advancement of acquired knowledge, it does not seem to have a significant effect on the formation of predictive values for the developed level of technology. Third, as a result of the quantitative verification of stepwise technology adoption, it was found that experience with Level 2 autonomous driving technology affects the expected benefits and risk of Level 3 autonomous driving technology. However, among the paths between experience and expectations, the path from positive evaluation to expected risk was found to be insignificant. It was also found that the expected benefits and risks of Level 3 autonomous driving technology affected the intent to use Level 3 autonomous driving technology. When examining the differences in the structure according to the usage diversity and usage rate, paths showing differences between groups were found among the paths from the experience with Level 2 autonomous driving technology to the expectation for Level 3 autonomous driving technology. Specifically, paths that differed according to the usage diversity included the path from positive evaluation to expected risk, the path from negative evaluation to expected benefit, and the path from negative evaluation to expected risk. The path that differed according to the usage rate was that from the negative evaluation of expected benefits. The subdimensions of the positive evaluation of Level 2 autonomous driving technology and the expected benefits from Level 3 autonomous driving technology were highly similar. However, the subdimensions of the negative evaluation of Level 2 autonomous driving technology and the expected risk from Level 3 autonomous driving technology were remarkably different. In addition, the paths that differed according to the usage level were those from the experience with Level 2 autonomous driving technology to the expectations from Level 3 autonomous driving technology. According to social cognitive theory, experience provides knowledge that allows people to shape expectations regarding what incentives or disincentives can occur. As aforementioned, usage diversity is apparently related to the diverse range of knowledge and usage rate in the advancement of acquired knowledge. It it thought that it led the difference between groups in terms of the level of usage diversity to be greater than the difference between groups in terms of the usage rate. Based on the results of this study, the following conclusions were drawn: First, the timing of purchasing a product with a technology and the acceptance of that technology do not necessarily coincide. Moreover, the adoption of technology, particularly if it consists of multiple features, is gradually achieved through the diffusion of use. This is thought to have implications for the selection of variables to predict consumer acceptance of a technology that will appear in the market in the future. Second, the importance of consumersโ€™ technological experiences should be further emphasized in the field of consumer adoption. When stepwise technology adoption occurs, technological experience provides knowledge of the technology, which will be the subject of decisions about acceptance. This suggests the need to manage consumersโ€™ current experiences, in addition to introducing consumers to a new level of technology. In particular, considering the results of the structural equation model for all respondents, the need to manage negative experiences among consumersโ€™ current technological experiences can be derived. Third, in managing technological experience, attention should be paid to the usage diversity and usage rate, which are behavioral aspects of technological experience, but the different effects of each one should be considered. In addition, if the goal is to promote the next technology level, more attention needs to be paid to usage diversity. This study differs from previous studies in that it examined stepwise technology adoption that encompasses two consecutive technology levels considering technological development. Stepwise technology adoption highlights the importance of the consumer experience. The purpose of facilitating consumersโ€™ adoption of technology is to enable them to gain utility by embracing the technology. According to stepwise technology adoption, consumer acceptance ultimately stems from their current experience with the technology. This study also has implications for consumer science in that it suggests the need for a more in-depth study of consumersโ€™ current experience, which is related to their current utility. Finally, this study has industrial and practical implications in that it suggests a specific direction to manage the current consumer experience with Level 2 autonomous driving technology.๋ณธ ์—ฐ๊ตฌ๋Š” ๊ธฐ์ˆ ์ด ๊ณ„์†ํ•ด์„œ ๋ฐœ์ „ํ•œ๋‹ค๋Š” ๋งฅ๋ฝ์— ๋Œ€ํ•œ ๊ณ ๋ ค์™€ ํ•จ๊ป˜, ์—ฌ๋Ÿฌ ์š”์ธ์œผ๋กœ ๊ตฌ์„ฑ๋œ ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์†Œ๋น„์ž์˜ ์ˆ˜์šฉ์— ๋Œ€ํ•ด ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด, ์†Œ๋น„์ž๊ฐ€ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ๋Š” ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ฒฝํ—˜์ด ์ƒˆ๋กœ์šด ๋‹จ๊ณ„์˜ ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ˆ˜์šฉ์œผ๋กœ ์ด์–ด์ง€๋Š” ๊ตฌ๊ฐ„์— ์ฃผ๋ชฉํ•˜์—ฌ ๋‘ ๋‹จ๊ณ„ ๊ฐ„์— ์ด๋ฃจ์–ด์ง€๋Š” ๊ธฐ์ˆ ์ˆ˜์šฉ์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ๊ตฌ์ฒด์ ์ธ ํ˜„์ƒ์œผ๋กœ๋Š” 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์„ ์‚ฌ์šฉํ•˜๋Š” ์†Œ๋น„์ž์˜ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ˆ˜์šฉ์— ๋Œ€ํ•ด ์‚ดํŽด๋ณด์•˜๋‹ค. ๊ธฐ์ˆ ์˜ ๋‘ ๋‹จ๊ณ„๋ฅผ ์•„์šฐ๋ฅด๋Š” ๋งฅ๋ฝ์—์„œ ๊ธฐ์ˆ  ์ˆ˜์šฉ์„ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์ˆ˜์šฉ์˜ ์˜๋ฏธ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ธฐ์ˆ ๊ฒฝํ—˜์— ๋Œ€ํ•œ ๊ฐœ๋…์„ ์žฌ์กฐ๋ช…ํ•˜์˜€๊ณ , ํ˜„ ๋‹จ๊ณ„ ๊ธฐ์ˆ ์˜ ๊ธฐ์ˆ ๊ฒฝํ—˜์— ๊ธฐ๋ฐ˜ํ•œ ๋‹ค์Œ ๋‹จ๊ณ„์˜ ์ˆ˜์šฉ์ด๋ผ๋Š” ๊ณผ์ •์„ ๊ตฌ์กฐ์ ์œผ๋กœ ์„ค๋ช…ํ•  ์ˆ˜ ์žˆ๋Š” ์‚ฌํšŒ์ธ์ง€์ด๋ก ์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ธฐ์ˆ ์˜ ๋‹จ๊ณ„์  ๋ฐœ์ „์„ ๊ณ ๋ คํ•˜์—ฌ ์—ฌ๋Ÿฌ ์š”์ธ์œผ๋กœ ๊ตฌ์„ฑ๋œ ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์†Œ๋น„์ž์˜ ์ˆ˜์šฉ์€ ์‚ฌํšŒ์ธ์ง€์ด๋ก  ํ•˜์—์„œ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์žฌ์กฐ์ง๋˜์—ˆ๋‹ค. ๋จผ์ €, ํ˜„์žฌ ๊ฒฝํ—˜ํ•˜๊ณ  ์žˆ๋Š” ๋‹จ๊ณ„์˜ ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜์€ ํ•ด๋‹น ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ ์ง„์ ์ธ ์ˆ˜์šฉ์˜ ๊ณผ์ • ๋ฐ ์ด๋Ÿฌํ•œ ์ˆ˜์šฉ์˜ ๊ฒฐ๊ณผ ๋„๋‹ฌํ•œ ์‚ฌ์šฉ์˜ ์ˆ˜์ค€์—์„œ ๋ฐœ์ƒํ•œ ํ–‰๋™, ๊ทธ๋ฆฌ๊ณ  ํ–‰๋™ ์™ธ์˜ ์ธก๋ฉด์„ ํฌ๊ด„ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜์€ ๋‹ค์Œ ๋‹จ๊ณ„์˜ ๊ธฐ์ˆ ์„ ์ˆ˜์šฉํ•จ์— ์žˆ์–ด ์ผ๋ จ์˜ ๊ธฐ๋Œ€๋ฅผ ํ˜•์„ฑํ•  ์ง€์‹์„ ์ œ๊ณตํ•˜๊ฒŒ ๋˜์–ด ๋‹จ๊ณ„ ๊ฐ„ ์ˆ˜์šฉ์ด ์ด๋ฃจ์–ด์ง€๋„๋ก ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํ˜„์žฌ ๊ฒฝํ—˜ํ•˜๊ณ  ์žˆ๋Š” ๋‹จ๊ณ„์˜ ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ  ๊ฒฝํ—˜์„ ๋ฐ”ํƒ•์œผ๋กœ ๋‹ค์Œ ๋‹จ๊ณ„์˜ ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ˆ˜์šฉ์ด ์ด๋ฃจ์–ด์ง€๋Š” ๋‹จ๊ณ„ ๊ฐ„์˜ ์ˆ˜์šฉ์„ โ€˜๋‹จ๊ณ„์  ์ˆ˜์šฉ(stepwise adoption)โ€™์œผ๋กœ ๋ช…๋ช…ํ•˜์˜€๋‹ค. ์„ ํ–‰์—ฐ๊ตฌ์—์„œ ๋‹จ๊ณ„์  ์ˆ˜์šฉ์ด๋ผ๋Š” ๋‹จ์–ด๋Š”, ๊ธฐ์ˆ ์˜ ํ•œ ๋‹จ๊ณ„ ๋‚ด์—์„œ ์ ์ง„์ ์œผ๋กœ ๊ธฐ์ˆ ์„ ๊ตฌ์„ฑํ•˜๋Š” ์š”์ธ๋“ค์— ๋Œ€ํ•œ ์ˆ˜์šฉ์ด ์ด๋ฃจ์–ด์ง„๋‹ค๋Š” ์˜๋ฏธ์—์„œ ์‚ฌ์šฉ๋œ ๋ฐ” ์žˆ๋‹ค (Wilkinson, 2011; Huizingh & Brand, 2009). ๊ทธ๋Ÿฌ๋‚˜ ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ธฐ์ˆ ์˜ ๋‘ ๋‹จ๊ณ„ ๊ฐ„์—๋„ ๊ณ„๋‹จ์˜ ํ˜•์‹์œผ๋กœ ๋‹จ๊ณ„์ ์œผ๋กœ ์ˆ˜์šฉ์ด ์ด๋ฃจ์–ด์งˆ ์ˆ˜ ์žˆ์Œ์— ์ฃผ๋ชฉํ•˜์—ฌ ๋‘ ๋‹จ๊ณ„ ๊ฐ„์˜ ๋‹จ๊ณ„์  ์ˆ˜์šฉ์„ โ€˜๋‹จ๊ณ„์  ์ˆ˜์šฉโ€™์œผ๋กœ ๋ช…๋ช…ํ•˜๊ณ  ์ด์— ๋Œ€ํ•˜์—ฌ ์ •์„ฑ์ , ์ •๋Ÿ‰์ ์œผ๋กœ ์‚ดํŽด๋ณด์•˜๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์„ ์‚ฌ์šฉํ•˜๋Š” ์†Œ๋น„์ž์˜ ๊ธฐ์ˆ ๊ฒฝํ—˜์„ ์‹ฌ์ธต์ ์œผ๋กœ ์‚ดํŽด๋ณด๊ณ , 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ  ๊ฒฝํ—˜์ด 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ๋Œ€ ๊ทธ๋ฆฌ๊ณ  ์ˆ˜์šฉ์˜๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‚ดํŽด๋ณด๋Š” ๊ฒƒ์„ ํ†ตํ•ด ๋‹จ๊ณ„์ ์œผ๋กœ ๋ฐœ์ „ํ•˜๋Š” ๊ธฐ์ˆ ์„ ์†Œ๋น„์ž๊ฐ€ ์ˆ˜์šฉํ•˜๋Š” ํ˜„์ƒ์— ๋Œ€ํ•ด ์‚ดํŽด๋ณด์•˜๋‹ค. ์†Œ๋น„์ž์˜ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜ ๋ฐ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ธ์‹์„ ์ •์„ฑ์ ์œผ๋กœ ํƒ์ƒ‰ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ •์„ฑ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ, ์ž๋ฃŒ ์ˆ˜์ง‘์„ ์œ„ํ•˜์—ฌ 1:1 ์‹ฌ์ธต๋ฉด์ ‘์„ ์‹ค์‹œํ•˜์˜€๊ณ  ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ์ฃผ์ œ๋ถ„์„๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ๋ถ„์„ํ•˜์˜€๋‹ค. ์ดํ›„, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜์— ๋Œ€ํ•œ ์ •๋Ÿ‰๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์ •์„ฑ๋ถ„์„ ๊ฒฐ๊ณผ ๋„์ถœ๋œ ๋ฌธํ•ญ๋“ค์— ๋Œ€ํ•˜์—ฌ ํƒ์ƒ‰์ /ํ™•์ธ์  ์š”์ธ๋ถ„์„์„ ํ†ตํ•ด 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ํ‰๊ฐ€๋ฅผ ์ฒ™๋„ํ™”ํ•˜์˜€๋‹ค. ์ดํ›„, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ  ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ ๋ฐ ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€์— ๋”ฐ๋ผ ์ง‘๋‹จ์„ ๊ตฌ๋ถ„ํ•œ ๋’ค, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ  ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ ๋ฐ ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€์— ๋”ฐ๋ผ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ํ‰๊ฐ€, 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ๋Œ€ ๋ฐ ์ˆ˜์šฉ์˜๋„๊ฐ€ ์ฐจ์ด๋ฅผ ๋ณด์ด๋Š”์ง€ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•˜์—ฌ t-test๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ธฐ์ˆ ์˜ ๋‹จ๊ณ„ ๊ฐ„ ์ˆ˜์šฉ์— ๋Œ€ํ•˜์—ฌ ์ •๋Ÿ‰์ ์œผ๋กœ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ณผ์ •์„ ๊ฑฐ์ณค๋‹ค. 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ํ‰๊ฐ€, 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ๋Œ€ ๋ฐ ์ˆ˜์šฉ์˜๋„์˜ ๊ตฌ์กฐ์  ๊ด€๊ณ„๋ฅผ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•ด ๊ตฌ์กฐ๋ฐฉ์ •์‹๋ชจํ˜•์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์ด ๊ตฌ์กฐ๊ฐ€ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ  ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ ๋ฐ ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€์— ๋”ฐ๋ผ ์ฐจ์ด๋ฅผ ๋ณด์ด๋Š”์ง€ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•˜์—ฌ ๋‹ค์ค‘์ง‘๋‹จ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๊ธฐ์ˆ ๊ฒฝํ—˜๊ณผ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ธ์‹์„ ์ •์„ฑ์ ์œผ๋กœ ํƒ์ƒ‰ํ•œ ๊ฒฐ๊ณผ, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜์— ์žˆ์–ด ์‹ค์งˆ์  ์ดˆ๊ธฐ ์ˆ˜์šฉ ๋ฐ ๊ทธ ์ดํ›„์˜ ์‚ฌ์šฉํ™•์‚ฐ์ด ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค. ์ง€์†์ ์œผ๋กœ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์„ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ๋”๋ผ๋„ ์†Œ๋น„์ž์˜ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ  ์‚ฌ์šฉ ์ˆ˜์ค€ ๋ฐ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ธ์‹์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์Œ์ด ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค ๋˜ํ•œ, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ด ์šด์ „์— ๋„์›€์ด ๋˜๋Š”์ง€์— ๋Œ€ํ•œ ๊ธ์ •์ , ๋ถ€์ •์  ํ‰๊ฐ€์˜ ์ฐจ์›์ด ๋ฐœ๊ฒฌ๋˜์—ˆ์œผ๋ฉฐ, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธ์ •์  ํ‰๊ฐ€์˜ ํ•˜์œ„ ์ฐจ์›์—๋Š” ์•ˆ์ „, ํŽธ์˜ ๊ทธ๋ฆฌ๊ณ  ์ƒ์‚ฐ์„ฑ์ด ํฌํ•จ๋˜์—ˆ๋‹ค. 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๋ถ€์ •์  ํ‰๊ฐ€์˜ ํ•˜์œ„ ์ฐจ์›์—๋Š” ์˜์กด์œผ๋กœ ์ธํ•œ ์œ„ํ—˜, ์‹œ์Šคํ…œ ์—ญ๋Ÿ‰๋ถ€์กฑ์œผ๋กœ ์ธํ•œ ๋ถˆํŽธ, ์šด์ „์ž์™€ ์‹œ์Šคํ…œ์˜ ์ถฉ๋Œ ๊ทธ๋ฆฌ๊ณ  ์ง€์†์  ์‚ฌ์šฉ์—์„œ์˜ ์ด์Šˆ๊ฐ€ ํฌํ•จ๋˜์—ˆ๋‹ค. ๋‘˜์งธ, ์ด๋Ÿฌํ•œ ๋ฐœ๊ฒฌ์„ ์‹ค์ฆ์ ์œผ๋กœ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•˜์—ฌ ์‹ค์‹œ๋œ ์ •๋Ÿ‰๋ถ„์„ ๊ฒฐ๊ณผ, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธ์ •์  ํ‰๊ฐ€์™€ ๋ถ€์ •์  ํ‰๊ฐ€์˜ ์„ธ๋ถ€ ์ฐจ์›๋“ค์˜ ์ ์ ˆ์„ฑ์ด ๊ฒ€์ฆ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜ ๊ฐ€์šด๋ฐ ํ–‰๋™์  ์ธก๋ฉด์— ํ•ด๋‹นํ•˜๋Š” ์‚ฌ์šฉ ์ˆ˜์ค€์— ๋”ฐ๋ฅธ ์ฐจ์ด๋„ ์–‘์ ์œผ๋กœ ๊ฒ€์ฆ๋˜์—ˆ๋‹ค. ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ ๋ฐ ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€ ๋ณ„๋กœ ์ง‘๋‹จ ๊ฐ„์— 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ํ‰๊ฐ€, 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ๋Œ€ ๊ทธ๋ฆฌ๊ณ  3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ˆ˜์šฉ์˜๋„์— ์ฐจ์ด๊ฐ€ ์กด์žฌํ•จ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋•Œ, ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ ์ˆ˜์ค€ ๋ณ„ ์ง‘๋‹จ ๊ฐ„ ์ฐจ์ด์™€ ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€ ๋ณ„ ์ง‘๋‹จ ๊ฐ„ ์ฐจ์ด์˜ ๊ฒฐ๊ณผ๋Š” 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๋ถ€์ •์  ํ‰๊ฐ€์™€ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์œ„ํ—˜์— ์žˆ์–ด ๋‹ค์†Œ ๋‹ค๋ฅธ ์–‘์ƒ์„ ๋ณด์˜€๋‹ค. 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๋ถ€์ •์  ํ‰๊ฐ€์˜ ๊ฒฝ์šฐ, ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ ์ˆ˜์ค€ ๋ณ„ ์ง‘๋‹จ ๊ฐ„ ์ฐจ์ด๋Š” ์‹œ์Šคํ…œ ์—ญ๋Ÿ‰๋ถ€์กฑ์œผ๋กœ ์ธํ•œ ๋ถˆํŽธ์—์„œ๋งŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€ ๋ณ„ ์ง‘๋‹จ ๊ฐ„ ์ฐจ์ด๋Š” ์šด์ „์ž์™€ ์‹œ์Šคํ…œ ์ถฉ๋Œ ๋ฐ ์ง€์†์  ์‚ฌ์šฉ์—์„œ์˜ ์ด์Šˆ์—์„œ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ, 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์œ„ํ—˜์˜ ๊ฒฝ์šฐ, ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ ์ˆ˜์ค€ ๋ณ„ ์ง‘๋‹จ ๊ฐ„ ์ฐจ์ด๋Š” ๋‚˜์œ ๋‚ ์”จ ๋“ฑ ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ ๋Œ€์ฒ˜ ๋ฏธ์ˆ™์œผ๋กœ ์ธํ•œ ์‚ฌ๊ณ , ์‚ฌ๋žŒ ์šด์ „์ž์˜ ๋Œ๋ฐœํ–‰๋™ ๋Œ€์ฒ˜ ๋ฏธ์ˆ™์œผ๋กœ ์ธํ•œ ์‚ฌ๊ณ  ๊ทธ๋ฆฌ๊ณ  ์‚ฌ๊ณ ๋ฐœ์ƒ ์‹œ ์ฑ…์ž„์†Œ์žฌ์— ๊ฑธ์ณ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€ ๋ณ„ ์ง‘๋‹จ ๊ฐ„ ์ฐจ์ด๋Š” 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์œ„ํ—˜์˜ ๋ชจ๋“  ์ฐจ์›์—์„œ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค. ์ด๊ฒƒ์€ ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ๊ณผ ์‚ฌ์šฉ๋Ÿ‰์ด ๊ฐ๊ฐ ๋‹ค๋ฅธ ์ข…๋ฅ˜์˜ ์ง€์‹ ํ˜•์„ฑ์— ์—ฐ๊ด€๋œ ๊ฒƒ์ด๊ธฐ ๋•Œ๋ฌธ์œผ๋กœ ํ•ด์„๋œ๋‹ค. ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ์€ ์ž์œจ์ฃผํ–‰์‹œ์Šคํ…œ์ด ๊ฐœ์ž…ํ•˜๋Š” ์ƒํ™ฉ๊ณผ ์‹œ์Šคํ…œ์˜ ์—ญ๋Ÿ‰์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ์ง€์‹์„ ์–ป๋Š” ๊ฒƒ๊ณผ ๊ด€๊ณ„๊ฐ€ ์žˆ๋‹ค๋ฉด, ์‚ฌ์šฉ๋Ÿ‰์€ ์–ป์–ด์ง„ ์ง€์‹์˜ ๊ณ ๋„ํ™”์™€ ๊ด€๋ จ์ด ์žˆ๋‹ค. ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ์˜ ์ˆ˜์ค€์ด ๋†’์€ ์ง‘๋‹จ์˜ ๊ฒฝ์šฐ, ๊ฒฝํ—˜ํ•œ ์ž์œจ์ฃผํ–‰์‹œ์Šคํ…œ์˜ ์—ญ๋Ÿ‰์˜ ํญ์ด ๋” ๋„“์–ด, ๋ณตํ•ฉ์ ์ธ ์ƒํ™ฉ์—์„œ ์‹œ์Šคํ…œ์ด ๊ณ ๋„๋กœ ๊ฐœ์ž…ํ•  ๋•Œ์˜ ์‹œ์Šคํ…œ ์—ญ๋Ÿ‰ ๋ถ€์กฐ์— ๋Œ€ํ•œ ํŒ๋‹จ์ด ํฌํ•จ๋˜๊ธฐ ๋•Œ๋ฌธ์— ๋ณด๋‹ค ๋ถ€์ •์ ์œผ๋กœ ํ‰๊ฐ€๋ฅผ ๋‚ด๋ฆฐ ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜์œผ๋กœ๋ถ€ํ„ฐ ์–ป์€ ์ž์œจ์ฃผํ–‰์‹œ์Šคํ…œ์˜ ์—ญ๋Ÿ‰์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ์ง€์‹๋“ค์€ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์ด์ต ๋ฟ ์•„๋‹ˆ๋ผ ์œ„ํ—˜์„ ํ˜•์„ฑํ•˜๋Š” ๋ฐ์—๋„ ์ฐจ์ด๊ฐ€ ๋ฐœ์ƒํ•˜๋„๋ก ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€์— ๋”ฐ๋ผ ์ฐจ์ด๋ฅผ ๋ณด์ธ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๋ถ€์ •์  ํ‰๊ฐ€์˜ ํ•˜์œ„ ์ฐจ์›์€ ์˜ค๋ž˜, ๋งŽ์ด ์‚ฌ์šฉํ•  ์ˆ˜๋ก ๊ทธ ๋ถ€์ •์ ์ธ ํ‰๊ฐ€๊ฐ€ ๋‚ฎ์•„์ง€๋Š” ์ฐจ์›๋“ค์ด๋‹ค. ์‚ฌ์šฉ๋Ÿ‰์€ ์–ป์–ด์ง„ ์ง€์‹์˜ ๊ณ ๋„ํ™”์— ๊ด€๋ จ๋˜์–ด ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์ƒˆ๋กœ์šด ๊ฒƒ์— ๋Œ€ํ•œ ์˜ˆ์ธก์  ๊ฐ€์น˜ ํ˜•์„ฑ์— ๋Œ€ํ•ด์„œ๋Š” ํฐ ์˜ํ–ฅ์„ ์ฃผ์ง€ ๋ชปํ•œ ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ์„ธ๋ฒˆ์งธ, ๊ธฐ์ˆ ์˜ ๋‹จ๊ณ„ ๊ฐ„ ์ˆ˜์šฉ์ธ ๋‹จ๊ณ„์  ์ˆ˜์šฉ์— ๋Œ€ํ•œ ์ •๋Ÿ‰๊ฒ€์ฆ ๊ฒฐ๊ณผ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜์ด 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์ด์ต๊ณผ ์œ„ํ—˜์— ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ์ฃผ๊ณ , 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์ด์ต๊ณผ ์œ„ํ—˜์ด 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ˆ˜์šฉ์˜๋„์— ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ์ค€๋‹ค๋Š” ๊ฒƒ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‹ค๋งŒ, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธ์ •์ ํ‰๊ฐ€๊ฐ€ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์œ„ํ—˜์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์œ ์˜ํ•˜์ง€ ์•Š์•˜๋‹ค. ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ ๋ฐ ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€์— ๋”ฐ๋ฅธ ๊ตฌ์กฐ์˜ ์ฐจ์ด๋ฅผ ์‚ดํŽด๋ณด์•˜์„ ๋•Œ, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜์ด 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์ด์ต๊ณผ ์œ„ํ—˜์œผ๋กœ ํ–ฅํ•˜๋Š” ๊ฒฝ๋กœ ๊ฐ€์šด๋ฐ์—์„œ ์ง‘๋‹จ ๊ฐ„ ์ฐจ์ด๋ฅผ ๋ณด์ด๋Š” ๊ฒฝ๋กœ๋“ค์ด ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ, ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ ์ˆ˜์ค€์— ๋”ฐ๋ผ ์ฐจ์ด๋ฅผ ๋ณด์ธ ๊ฒฝ๋กœ์—๋Š” 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธ์ •์  ํ‰๊ฐ€์—์„œ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์œ„ํ—˜์œผ๋กœ ๊ฐ€๋Š” ๊ฒฝ๋กœ, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๋ถ€์ •์  ํ‰๊ฐ€์—์„œ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์ด์ต์œผ๋กœ ๊ฐ€๋Š” ๊ฒฝ๋กœ ๊ทธ๋ฆฌ๊ณ  2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๋ถ€์ •์  ํ‰๊ฐ€์—์„œ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์œ„ํ—˜์œผ๋กœ ๊ฐ€๋Š” ๊ฒฝ๋กœ๊ฐ€ ํ•ด๋‹น๋˜์—ˆ๋‹ค. ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€์— ๋”ฐ๋ผ ์ฐจ์ด๋ฅผ ๋ณด์ธ ๊ฒฝ๋กœ์—๋Š” 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๋ถ€์ •์  ํ‰๊ฐ€์—์„œ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์ด์ต์œผ๋กœ ๊ฐ€๋Š” ๊ฒฝ๋กœ๊ฐ€ ํ•ด๋‹น๋˜์—ˆ๋‹ค. 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธ์ •์  ํ‰๊ฐ€์™€ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์ด์ต์˜ ๊ตฌ์ฒด์ ์ธ ์ฐจ์›์€ ๋งค์šฐ ์œ ์‚ฌํ•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๋ถ€์ •์  ํ‰๊ฐ€์™€ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ๋ถ€ํ„ฐ ๊ธฐ๋Œ€๋˜๋Š” ์œ„ํ—˜์˜ ๊ตฌ์ฒด์ ์ธ ์ฐจ์›์€ ๋‹ค์†Œ ์ƒ์ดํ•˜๋‹ค. ๋”๋ถˆ์–ด, ์‚ฌ์šฉ ์ˆ˜์ค€์— ๋”ฐ๋ผ ์ฐจ์ด๋ฅผ ๋ณด์ธ ๊ฒฝ๋กœ๋“ค์˜ ๊ฒฝ์šฐ ๊ธฐ์ˆ ๊ฒฝํ—˜์ด ๊ธฐ๋Œ€๋กœ ๊ฐ€๋Š” ๊ฒฝ๋กœ๋“ค์ด๋‹ค. ์‚ฌํšŒ์ธ์ง€์ด๋ก ์— ์˜ํ•˜๋ฉด ์ด์ „ ๊ฒฝํ—˜์€ ๋ฏธ๋ž˜์— ๋ฐœ์ƒํ•  ์ผ๋“ค์— ๋Œ€ํ•˜์—ฌ ๊ธฐ๋Œ€๋ฅผ ํ˜•์„ฑํ•˜๊ฒŒ ํ•ด์ฃผ๋Š” ์ง€์‹์„ ์ œ๊ณตํ•œ๋‹ค. ์•ž์„œ ์‚ดํŽด๋ณธ ๋ฐ”์™€ ๊ฐ™์ด, ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ์€ ์ด๋Ÿฌํ•œ ์ง€์‹์˜ ์ธก๋ฉด์— ๊ด€๋ จ๋œ ๊ฒƒ์ด๋ผ๋ฉด ์‚ฌ์šฉ๋Ÿ‰์€ ์ด๋Ÿฌํ•œ ์ง€์‹์ด ๊ณ ๋„ํ™”๋˜๋Š” ๊ฒƒ๊ณผ ๋ณด๋‹ค ๊ด€๋ จ๋˜๋Š” ์ธก๋ฉด์œผ๋กœ ๋ณด์ธ๋‹ค. ์ด์— ๋”ฐ๋ผ ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ ์ˆ˜์ค€์— ๋”ฐ๋ผ์„œ๋Š” ์ง‘๋‹จ ๊ฐ„ ์ฐจ์ด๋ฅผ ๋ณด์ด๋Š” ๊ฒฝ๋กœ์˜ ๊ฐœ์ˆ˜๊ฐ€ ์‚ฌ์šฉ๋Ÿ‰ ์ˆ˜์ค€์— ๋”ฐ๋ผ ๋ฐœ๊ฒฌ๋˜๋Š” ์ง‘๋‹จ ๊ฐ„ ์ฐจ์ด๋ณด๋‹ค ํฐ ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๋ก ์„ ๋‚ด๋ฆฌ๊ณ ์ž ํ•œ๋‹ค. ์ฒซ์งธ, ๊ธฐ์ˆ  ์ œํ’ˆ์˜ ๊ตฌ๋งค ์‹œ์ ๊ณผ ํ•ด๋‹น ๊ธฐ์ˆ ์˜ ์ˆ˜์šฉ ์‹œ์ ์ด ๋ฐ˜๋“œ์‹œ ์ผ์น˜ํ•˜์ง€๋Š” ์•Š์œผ๋ฉฐ, ํŠนํžˆ ์—ฌ๋Ÿฌ ์š”์ธ์œผ๋กœ ๊ตฌ์„ฑ๋œ ๊ธฐ์ˆ ์˜ ๊ฒฝ์šฐ ๊ธฐ์ˆ ์˜ ์ˆ˜์šฉ์€ ์‚ฌ์šฉํ™•์‚ฐ์„ ํ†ตํ•ด ์ ์ง„์ ์œผ๋กœ ์ด๋ฃจ์–ด์ง„๋‹ค. ์ด๊ฒƒ์€ ํ–ฅํ›„ ์†Œ๋น„์ž์˜ ์ˆ˜์šฉ์„ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•œ ๋ณ€์ˆ˜ ์„ ํƒ์—๋„ ์‹œ์‚ฌํ•˜๋Š” ๋ฐ”๊ฐ€ ์žˆ๋‹ค๊ณ  ์ƒ๊ฐ๋œ๋‹ค. ๋‘˜์งธ, ์†Œ๋น„์ž์˜ ๊ธฐ์ˆ  ์ˆ˜์šฉ์— ์žˆ์–ด ์†Œ๋น„์ž๊ฐ€ ํ˜„์žฌ ๊ฒฝํ—˜ํ•˜๊ณ  ์žˆ๋Š” ๊ธฐ์ˆ ๊ฒฝํ—˜์˜ ์ค‘์š”์„ฑ์ด ๋”์šฑ ๊ฐ•์กฐ๋˜์–ด์•ผ ํ•œ๋‹ค. ๋‹จ๊ณ„์  ์ˆ˜์šฉ์ด ์ด๋ฃจ์–ด์งˆ ๋•Œ, ๊ธฐ์ˆ  ๊ฒฝํ—˜์€ ์ˆ˜์šฉ ๋Œ€์ƒ์— ๋Œ€ํ•œ ์ง€์‹์„ ์ œ๊ณตํ•˜๊ฒŒ ๋œ๋‹ค. ์ด๊ฒƒ์€ ์†Œ๋น„์ž์—๊ฒŒ ์ƒˆ๋กœ์šด ๋‹จ๊ณ„์˜ ๊ธฐ์ˆ ์„ ์†Œ๊ฐœํ•˜๋Š” ๊ฒƒ๊ณผ ๋”๋ถˆ์–ด ์ด๋“ค์˜ ํ˜„์žฌ ๊ฒฝํ—˜์„ ๊ด€๋ฆฌํ•ด์•ผ ํ•  ํ•„์š”์„ฑ์„ ์‹œ์‚ฌํ•˜์˜€๋‹ค. ํŠนํžˆ, ์ „์ฒด ์‘๋‹ต์ž์— ๋Œ€ํ•œ ๊ตฌ์กฐ๋ฐฉ์ •์‹๋ชจํ˜• ๊ฒฐ๊ณผ๋ฅผ ๊ณ ๋ คํ–ˆ์„ ๋•Œ, ์†Œ๋น„์ž์˜ ํ˜„์žฌ ๊ธฐ์ˆ ๊ฒฝํ—˜ ์ค‘ ๋ถ€์ •์  ๊ฒฝํ—˜์„ ๊ด€๋ฆฌํ•ด์•ผ ํ•  ํ•„์š”์„ฑ์„ ๋„์ถœํ•  ์ˆ˜ ์žˆ๋‹ค. ์…‹์งธ, ๊ธฐ์ˆ ๊ฒฝํ—˜์„ ๊ด€๋ฆฌํ•จ์— ์žˆ์–ด ๊ธฐ์ˆ ๊ฒฝํ—˜์˜ ํ–‰๋™์  ์ธก๋ฉด์ธ ์‚ฌ์šฉ๋Ÿ‰๊ณผ ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ์— ๊ด€์‹ฌ์„ ๊ฐ€์ง€๋˜, ๊ฐ๊ฐ์˜ ์˜ํ–ฅ์— ์ฐจ์ด๊ฐ€ ์žˆ์Œ์„ ๊ณ ๋ คํ•ด์•ผ ํ•œ๋‹ค. ๋‹ค์Œ ๋‹จ๊ณ„์˜ ๊ธฐ์ˆ ์˜ ์ˆ˜์šฉ ์ด‰์ง„์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค๋ฉด ์‚ฌ์šฉ์˜ ๋‹ค์–‘์„ฑ์— ๋” ์ฃผ๋ชฉํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์„ ๊ณ ๋ คํ•˜์—ฌ ๊ธฐ์ˆ ์˜ ๋‘ ๋‹จ๊ณ„๋ฅผ ์•„์šฐ๋ฅด๋Š” ๋‹จ๊ณ„์  ๊ธฐ์ˆ ์ˆ˜์šฉ์— ๋Œ€ํ•ด ์‚ดํŽด๋ณด์•˜๋‹ค๋Š” ์ ์—์„œ ์„ ํ–‰์—ฐ๊ตฌ๋“ค๊ณผ ์ฐจ๋ณ„์ ์„ ๊ฐ–๋Š”๋‹ค. ๋‹จ๊ณ„์  ์ˆ˜์šฉ์€ ์†Œ๋น„์ž๋“ค์˜ ํ˜„์žฌ ๊ฒฝํ—˜์˜ ์ค‘์š”์„ฑ์„ ๊ฐ•์กฐํ•œ๋‹ค. ์†Œ๋น„์ž์˜ ๊ธฐ์ˆ  ์ˆ˜์šฉ์„ ์ด‰์ง„ํ•˜๊ณ ์ž ํ•˜๋Š” ๋ชฉ์ ์€ ๊ฒฐ๊ตญ ์†Œ๋น„์ž๊ฐ€ ๊ธฐ์ˆ ์„ ์ˆ˜์šฉํ•จ์œผ๋กœ์จ ํšจ์šฉ์„ ์–ป๊ฒŒ ํ•˜๊ธฐ ์œ„ํ•จ์ด๋‹ค. ๋‹จ๊ณ„์  ์ˆ˜์šฉ์— ์˜ํ•˜๋ฉด, ์ด๋Ÿฌํ•œ ์†Œ๋น„์ž์˜ ์ˆ˜์šฉ์€ ๊ฒฐ๊ตญ ์†Œ๋น„์ž๊ฐ€ ๊ธฐ์ˆ ์„ ์‚ฌ์šฉํ•˜๋Š” ์ด๋“ค์˜ ํ˜„์žฌ ๊ฒฝํ—˜์œผ๋กœ๋ถ€ํ„ฐ ๋น„๋กฏ๋œ๋‹ค. ์†Œ๋น„์ž์˜ ๊ฒฝํ—˜์— ๋ณด๋‹ค ์‹ฌ์ธต์  ์—ฐ๊ตฌ๊ฐ€ ์ด๋ฃจ์–ด์ ธ ํ•ด๋‹น ๋ณ€์ˆ˜๊ฐ€ ๊ธฐ์ˆ ์ˆ˜์šฉ ๊ด€๋ จ ๋ชจํ˜•์— ๋ฐ˜์˜๋  ํ•„์š”๊ฐ€ ์žˆ์Œ์„ ๊ฐ•์กฐํ–ˆ๋‹ค๋Š” ์ ์—์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ์†Œ๋น„์žํ•™์ ์œผ๋กœ๋„ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜ ๊ด€๋ฆฌ์˜ ๊ตฌ์ฒด์  ๋ฐฉํ–ฅ์„ ์ œ์‹œํ–ˆ๋‹ค๋Š” ์ ์—์„œ ์‚ฐ์—…์ , ์‹ค์งˆ์  ์˜์˜๊ฐ€ ์žˆ๋‹ค.์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ชฉ์  8 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 9 ์ œ 1 ์ ˆ ๊ธฐ์ˆ ์˜ ๋ฐœ์ „๊ณผ ์†Œ๋น„์ž์˜ ๋‹จ๊ณ„์  ๊ธฐ์ˆ ์ˆ˜์šฉ 9 1. ๊ธฐ์ˆ ์˜ ๋ฐœ์ „ 9 2. ์†Œ๋น„์ž์˜ ๋‹จ๊ณ„์  ๊ธฐ์ˆ ์ˆ˜์šฉ 11 ์ œ 2 ์ ˆ ์‚ฌํšŒ์ธ์ง€์ด๋ก ๊ณผ ์†Œ๋น„์ž์˜ ๊ธฐ์ˆ ์ˆ˜์šฉ 19 1. ์‚ฌํšŒ์ธ์ง€์ด๋ก ๊ณผ ๊ธฐ์ˆ ์ˆ˜์šฉ 19 2. ์†Œ๋น„์ž์˜ ๊ธฐ์ˆ ๊ฒฝํ—˜ 26 ์ œ 3 ์ ˆ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์˜ ๋‹จ๊ณ„์™€ ์ด์ต ๋ฐ ์œ„ํ—˜ 30 1. ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์˜ ๋‹จ๊ณ„ 30 2. ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์˜ ์ด์ต๊ณผ ์œ„ํ—˜ 38 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๋ฌธ์ œ ๋ฐ ๋ฐฉ๋ฒ• 45 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ถ„์„ํ‹€๊ณผ ์—ฐ๊ตฌ๋ฌธ์ œ 45 1. ์—ฐ๊ตฌ์˜ ๋ถ„์„ํ‹€ 45 2. ์—ฐ๊ตฌ๋ฌธ์ œ 49 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 53 1. ์ •์„ฑ์  ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 53 2. ์ •๋Ÿ‰์  ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 55 ์ œ 3 ์ ˆ ์กฐ์‚ฌ์ž๋ฃŒ ๋ฐ ๋Œ€์ƒ์˜ ํŠน์„ฑ 62 1. ์ •์„ฑ์  ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž์˜ ํŠน์„ฑ 62 2. ์ •๋Ÿ‰์  ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž์˜ ํŠน์„ฑ 63 ์ œ 4 ์žฅ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 66 ์ œ 1 ์ ˆ ์†Œ๋น„์ž์˜ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๊ฒฝํ—˜๊ณผ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ธ์‹ ์ •์„ฑ๋ถ„์„ ๊ฒฐ๊ณผ 66 1. 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์‚ฌ์šฉ 66 2. 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ํ‰๊ฐ€ 74 3. 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ธ์‹ 81 ์ œ 2 ์ ˆ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์˜ ์‚ฌ์šฉํ™•์‚ฐ์— ๋Œ€ํ•œ ์ •๋Ÿ‰๋ถ„์„ 88 1. 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ํ‰๊ฐ€ ์ฒ™๋„ํ™” 88 2. ์‚ฌ์šฉ์ˆ˜์ค€ ๋ณ„ ์ง‘๋‹จ ๊ตฌ๋ถ„ ๋ฐ ์ง‘๋‹จ ๋ณ„ ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ 101 3. ์‚ฌ์šฉ์ˆ˜์ค€ ๋ณ„ ์ง‘๋‹จ์˜ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ํ‰๊ฐ€, 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ๋Œ€ ๋ฐ ์ˆ˜์šฉ์˜๋„ ์ฐจ์ด 108 ์ œ 3 ์ ˆ 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์—์„œ 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ๋กœ ์ด์–ด์ง€๋Š” ๋‹จ๊ณ„์  ๊ธฐ์ˆ ์ˆ˜์šฉ์— ๋Œ€ํ•œ ์ •๋Ÿ‰๋ถ„์„ 115 1. 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ํ‰๊ฐ€, 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ๊ธฐ๋Œ€, 3๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ˆ˜์šฉ์˜๋„์˜ ๊ตฌ์กฐ์  ๊ด€๊ณ„ 115 2. 2๋‹จ๊ณ„ ์ž์œจ์ฃผํ–‰๊ธฐ์ˆ  ์‚ฌ์šฉ ์ˆ˜์ค€ ๋ณ„ ๊ตฌ์กฐ๋ชจํ˜•์˜ ์ฐจ์ด 123 ์ œ 5 ์žฅ ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 128 ์ œ 1 ์ ˆ ๊ฒฐ๊ณผ์˜ ์š”์•ฝ ๋ฐ ๊ฒฐ๋ก  128 ์ œ 2 ์ ˆ ์ œ์–ธ 138 ์ฐธ๊ณ ๋ฌธํ—Œ 141 ๋ถ€๋ก 163 ์„ค๋ฌธ์ง€ 163 ํ™•์ธ์  ์š”์ธ๋ถ„์„ ์ฃผ์š” ๋ณ€์ˆ˜๋“ค์˜ ๊ธฐ์ˆ ํ†ต๊ณ„ 178 ๊ตฌ์กฐ๋ฐฉ์ •์‹๋ชจํ˜• ์ฃผ์š” ๋ณ€์ˆ˜๋“ค์˜ ๊ธฐ์ˆ ํ†ต๊ณ„ 179 Abstract 180๋ฐ•

    Peroxisome proliferator-activated receptor gamma as a theragnostic target for mesenchymal-type glioblastoma patients

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    Brain cancer: Nuclear receptor offers diagnostic and therapeutic target A protein that helps relay signals within tumor cells provides a promising diagnostic biomarker and therapeutic target for the most deadly form of glioblastoma, a brain cancer. A research team in South Korea led by Myung-Jin Park from the Korea Institute of Radiological and Medical Sciences in Seoul and Yangsik Jeong from Yonsei University in Wonju showed that the gene encoding a nuclear receptor protein called PPAR gamma is exclusively expressed in glioblastoma stem cells taken from patients with the aggressive "mesenchymal" subtype of the disease, but not in stem cells from other glioblastomas with more favorable outcomes. In cell cultures and mouse models, the researchers found that elevated levels of the nuclear receptor promote cancer growth, but activation of PPAR gamma, either with drugs or by genetic means, has an opposite effect and suppresses tumor proliferation. Glioblastomas (GBMs) are characterized by four subtypes, proneural (PN), neural, classical, and mesenchymal (MES) GBMs, and they all have distinct activated signaling pathways. Among the subtypes, PN and MES GBMs show mutually exclusive genetic signatures, and the MES phenotype is, in general, believed to be associated with more aggressive features of GBM: tumor recurrence and drug resistance. Therefore, targeting MES GBMs would improve the overall prognosis of patients with fatal tumors. In this study, we propose peroxisome proliferator-activated receptor gamma (PPAR gamma) as a potential diagnostic and prognostic biomarker as well as therapeutic target for MES GBM; we used multiple approaches to assess PPAR gamma, including biostatistics analysis and assessment of preclinical studies. First, we found that PPAR gamma was exclusively expressed in MES glioblastoma stem cells (GSCs), and ligand activation of endogenous PPAR gamma suppressed cell growth and stemness in MES GSCs. Further in vivo studies involving orthotopic and heterotopic xenograft mouse models confirmed the therapeutic efficacy of targeting PPAR gamma; compared to control mice, those that received ligand treatment exhibited longer survival as well as decreased tumor burden. Mechanistically, PPAR gamma activation suppressed proneural-mesenchymal transition (PMT) by inhibiting the STAT3 signaling pathway. Biostatistical analysis using The Cancer Genomics Atlas (TCGA, n = 206) and REMBRANDT (n = 329) revealed that PPAR gamma upregulation is linked to poor overall survival and disease-free survival of GBM patients. Analysis was performed on prospective (n = 2) and retrospective (n = 6) GBM patient tissues, and we finally confirmed that PPAR gamma expression was distinctly upregulated in MES GBM. Collectively, this study provides insight into PPAR gamma as a potential therapeutic target for patients with MES GBM.ope

    Analysis on Influential Factors of Consumer Needs in Fashion Using the Generative Tools

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ์ƒํ™œ๊ณผํ•™๋Œ€ํ•™ ์˜๋ฅ˜ํ•™๊ณผ, 2017. 8. Ka-Leung Moon.Consumer understanding has been dealt as one of the most crucial issues related to consumption in industrial field and marketing (Jang, 2007Gordon R et al., 1994W. Goldsmith and Clutterbuck, 1985Peters and Waterman 1982), design (Sung et al., 1999Kim, 1994Karl et al., 2008Kimmel, 2015), the academic and research field (Ju et al., 2013Ryeo et al., 2012). The importance of consumer understanding grew as the global competition came to be severe. The specific and the most noticeable example is the competition between SPA brands. Along with intense interest toward SPA brands and consumer understanding, consumer behavior has been the field that was studied the most among research studies for SPA brands (Lee, 2014). However, it was found that there lack the research studies that are done in the consumer-centered way. The changed state of consumers as a conceiver for products and ideas (Coughlan and Prokopoff, 2004Kim, 2007) and changed paradigm of research studies and business (Sanders, 2002) are demanding usage of more consumer-centered way. Zaltman (2003) also points out the shortages and errors of previous studies which could not deal with the needs in unconscious level of consumers. Examining the limitations above, this research study tried to collect multiple levels of needs that are from conscious to unconscious levels of consumers through consumer-centered way so that the influential factors for the consumer needs in fashion could be found. Based on the collected data, the structure map of consumer needs was made to explain the structure and mechanism of consumer needs. For consumer-centered way of research study, the participants attended this research as co-workers who make the results and knowledge of the results rather than as a subject for measurement. Also, the generative tools were selected among many kinds of interpretivist tools to figure out multitude levels of consumer needs through making process. The participants were provided make-tools related to the subject, fashion and performed making activities. Each participant had three steps with make-tools and four interviews to explain their results. Through these processes, the participants could find the information related to their needs for fashion which they did not recognized before. Also, this whole process enabled the researcher to have close and detailed observation on the phenomenon. The verbal explanation and words that the participants used were recorded on the manuscript for the analysis in further step. This manuscript was analyzed through the way of group consensus. Then, the consideration on the structure and mechanism for the influential factors for the consumer needs in fashion and how they work together was progressed. Through this research study, the researcher found that personal factors, environment and media are working as three influential factors for consumer needs in fashion. Furthermore, how these three factors work together to make the latent and tacit needs in unconsciousness into observable and explicit needs in consciousness were examined. Among the information and thoughts from the environment which are subsided in unconsciousness, the information and thoughts that are affected by media unconsciously come to be latent and tacit needs. The needs in this level are unrecognized although they have influence of the behavior and needs which are expressed. After becoming strengthened by the media again, these latent and tacit needs turn into observable and explicit needs when they match with personal factors. This implies that the fashion companies and enterprises can have more influence by making a practical use of media which is easier for those companies and enterprises to intervene than personal factors and environment. Also, consumers can lead the fashion market by forming consumer needs in fashion through practical use of media. In addition, the point that this research study used interpretivist way to study consumer needs in fashion makes this study meaningful.Chapter1. Introduction 1 1.1. Background of the Research Study 1 1.1.1. The Necessity of the Research Study on Consumer Understanding 1 1.1.2. Limitation of Previous Studies 4 1.2. Purpose of this Research Study 6 Chapter2. Literature Review 7 2.1. Consumer Needs 7 2.2. New Research Paradigm: Interpretivism 11 2.3. The Generative Tools 15 Chapter3. Method and Materials 18 3.1. Procedure 18 3.1.1. Modified Generative Tools for this Research Study 18 3.1.2. Procedures within the Modified Generative Tools 19 3.2. Participants 24 3.3. Method for Analysis 25 3.3.1. Content Analysis on the Manuscript 25 3.3.2. Affinity Chart 26 3.3.3. Cognitive Map 27 Chapter4. Results 29 4.1. Results of Each Procedure of Research using the modified Generative Tools 29 4.1.1. Workbook 29 4.1.2. Collage 36 4.1.3. 3D modeling (3D draping) 42 4.2. Results of Analysis 49 4.2.1. Content Analysis on the Manuscript 49 4.2.2. Affinity Chart 61 4.2.3. Cognitive map 65 Chapter5. Discussion 66 5.1. Discussion for the relationship between the factors found through making the affinity chart 66 5.1.1. Analysis of each participant 66 5.1.2. The discovered role of each factor and relationship between them 87 5.2. Discussion for the cognitive map 90 5.3. Discussion for the effectiveness of using the generative tools 92 Chapter6. Conclusion and Implication 95 6.1. Conclusion 95 6.1.1. The structure and mechanism of the consumer needs 96 6.1.2. The effectiveness of using the interpretivist tools for the research studies for fashion 98 6.2. Implication 99 6.2.1. Academic Implication 99 6.2.2. Practical Implication 100 6.3. Limitation and Suggestions for further research 101 Bibliography 102 Table of Appendix 112 ๊ตญ๋ฌธ์ดˆ๋ก 119Maste

    Lapatinb์— ๋Œ€ํ•œ ๋‚ด์„ฑ์„ ํš๋“ํ•œ ์œ ๋ฐฉ์•” ์„ธํฌ์ฃผ์—์„œ Src๊ณผ RUNX3๋ฅผ ํ†ตํ•œ ๋‚ด์„ฑ ๊ธฐ์ „์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ์˜๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ์ข…์–‘์ƒ๋ฌผํ•™์ „๊ณต, 2017. 8. ์ž„์„์•„.Background: Lapatinib is an effective EGFR and HER2 targeting small molecular tyrosine kinase inhibitor, which is one of the standard of care medicine for HER2 positive metastatic breast cancer patients. Primary and acquired resistance to lapatinib developed. Despite several mechanisms of resistance to lapatinib have been suggested, still the mechanisms of developing lapatinib resistant remain as a question to solve. Thus, I tried to find out there is a novel mechanism which related to lapatinib resistant, and any specified molecules were involved in this process. Methods: Acquired resistant SK-BR-3 cells were established by chronic exposure to lapatinib. Lapatinib and saracatinib sensitivity were confirmed by MTT assay. Western blotting was used to determine signal transduction molecule changes. Wound healing assay and Boyden chamber assay were conducted for verifying invasive ability. Whole exome sequencing (WES) and siRNA knock-down system were used for further analysis. Results: Generation of Laptinib resistant (LR) cell lines confirmed by MTT assay. LR cell lines showed down-regulation of pHER2, pAkt, and pERK. The activity of Src family kinase was increased in LR cells. Vimentin, an EMT marker, is also up-regulated in LR cells. Migration and invasion were significantly increased in LR cells. Saracatinib inhibited activation of Src family kinase, cell migration and cell invasion in LR cells. Correlated with a missense mutation of RUNX3, which identified by WES, expression of RUNX3 was decreased in LR cells. Moreover, si-RUNX3 knock-down parental cells showed more resistance to lapatinib. Conclusion: The increase of Src activation, cell migration, and invasion was observed in LR cells. RUNX3, which identified by WES, affected to lapatinib sensitivity in SK-BR-3 cells. Based on our data, activation of Src contributes resistance to lapatinib and RUNX3 might be a potential marker, which partially contributes resistance to lapatinib.INTRODUCTION -------------------------------------- 1 MATERIALS AND METHODS -----------------------------4 RESULTS -------------------------------------------11 DISCUSSION -----------------------------------------36 REFERENCES ----------------------------------------39 ABSTRACT IN KOREAN --------------------------------44Maste

    ์—ฌ์„ฑ ๊ทผ๋กœ์ž์˜ ์ง๋ฌด์™€ ์ƒํ™œ ๋งŒ์กฑ๋„๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ํ–‰์ •ํ•™๊ณผ(์ •์ฑ…ํ•™์ „๊ณต), 2022. 8. ์ด์„์›.์šฐ๋ฆฌ๋‚˜๋ผ๋Š” ํ˜„์žฌ ์žฅ์‹œ๊ฐ„ ๋…ธ๋™์œผ๋กœ OECD ๊ตญ๊ฐ€ ์ค‘ 4์œ„๋ฅผ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ๋‹ค. 1953๋…„๋ถ€ํ„ฐ ์‹œ์ž‘ํ•˜์—ฌ ์žฅ์‹œ๊ฐ„ ๋…ธ๋™์„ ๋‹จ์ถ•ํ•˜๊ธฐ ์œ„ํ•œ ์‹œ๋„๊ฐ€ ์—ฌ๋Ÿฌ ์ฐจ๋ก€ ์žˆ์—ˆ์ง€๋งŒ, ์—ฌ์ „ํžˆ OECD ๊ตญ๊ฐ€ ์ค‘ ์žฅ์‹œ๊ฐ„ ๋…ธ๋™์œผ๋กœ ์ƒ์œ„๊ถŒ์„ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ๋Š” ๊ทธ๋งŒํผ ๊ทผ๋กœ ์‹œ๊ฐ„ ๋‹จ์ถ• ์ œ๋„์˜ ํ•„์š”์„ฑ์ด ๋Œ€๋‘๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ์ค‘์—์„œ๋„ ์—ฌ์„ฑ๋“ค์˜ ๊ฒฝ์šฐ ๊ฒฝ์ œํ™œ๋™ ์ง„์ถœ์ด ๋Š˜์–ด๋‚˜๋ฉด์„œ ์—ฌ์„ฑ ๊ทผ๋กœ์ž๋“ค์„ ์œ„ํ•œ ์ผ๊ณผ ๊ฐ€์ •์–‘๋ฆฝ, ๊ทธ๋ฆฌ๊ณ  ์ผ๊ณผ ์ƒํ™œ ์–‘๋ฆฝ์„ ์‹คํ˜„ํ•  ์ˆ˜ ์žˆ๋Š” ์ œ๋„๋กœ ๊ทผ๋กœ ์‹œ๊ฐ„ ๋‹จ์ถ•์ œ๋„๋Š” ํฐ ์˜๋ฏธ๋ฅผ ์ง€๋‹Œ๋‹ค๊ณ  ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ƒํ™ฉ์—์„œ ์—ฌ์„ฑ๋“ค์˜ ๊ฒฝ์šฐ ์ฃผ 52์‹œ๊ฐ„ ์ƒํ•œ์ œ์˜ ํšจ๊ณผ๋ฅผ ์ง๋ฌด๋งŒ์กฑ๋„์™€ ์ƒํ™œ ๋งŒ์กฑ๋„ ์ธก๋ฉด์—์„œ ์‚ดํŽด๋ณธ๋‹ค๋ฉด ์ •์ฑ…์˜ ํšจ๊ณผ๋ฅผ ์‚ดํŽด๋ณด๊ณ  ์ฃผ 52์‹œ๊ฐ„ ์ƒํ•œ์ œ์— ๋Œ€ํ•ด ํ‰๊ฐ€ํ•ด ๋ณผ ์ˆ˜ ์žˆ๋Š” ๊ณ„๊ธฐ๊ฐ€ ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ์—ฐ๊ตฌ ๊ณผ์ •์œผ๋กœ ์—ฌ์„ฑ ๊ทผ๋กœ์ž์˜ ์ „๋ฐ˜์  ์ผ์ž๋ฆฌ ๋งŒ์กฑ๋„, ์ž„๊ธˆ ๋ฐ ์†Œ๋“ ๋งŒ์กฑ๋„, ๊ทผ๋กœ ์‹œ๊ฐ„ ๋งŒ์กฑ๋„, ์ „๋ฐ˜์  ์ƒํ™œ ๋งŒ์กฑ๋„, ๊ทธ๋ฆฌ๊ณ  ์—ฌ๊ฐ€์ƒํ™œ ๋งŒ์กฑ๋„์— ์ฃผ 52์‹œ๊ฐ„ ์ƒํ•œ์ œ๊ฐ€ ์–ด๋– ํ•œ ํšจ๊ณผ๋ฅผ ๋ฏธ์น˜๋Š”์ง€ ํšŒ๊ท€๋ถˆ์—ฐ์†์„ค๊ณ„(Regression Discontinuity Design)๋กœ ๋ถ„์„ํ•˜์—ฌ ์‚ดํŽด๋ณด์•˜๋‹ค. ์ด ์ค‘ ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚œ ๊ฒƒ์€ ์—ฌ๊ฐ€์ƒํ™œ ๋งŒ์กฑ๋„๋กœ ์ฃผ 52์‹œ๊ฐ„ ์ƒํ•œ์ œ๋Š” ์—ฌ์„ฑ ๊ทผ๋กœ์ž๋“ค์˜ ์—ฌ๊ฐ€ ์‹œ๊ฐ„์„ ํ™•๋ณดํ•ด ์คŒ์œผ๋กœ์จ ์—ฌ๊ฐ€์ƒํ™œ ๋งŒ์กฑ๋„๋ฅผ ๋งŒ์กฑ์Šค๋Ÿฝ๊ฒŒ ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.Korea currently ranks fourth among the OECD countries due to long-time labor. Since 1953, there have been several attempts to shorten long-time labor, but Korea, which still ranks at the top with long-time labor among the OECD countries, needs to shorten working hours. Among them, as women increase their entry into economic activities, the system of reducing working hours is a system that can establish work-family balance and work-life balance for female workers. In this situation, if the effect of the 52-hour work reduction policy is examined in terms of job satisfaction and life satisfaction, it could be an opportunity to examine the effect of the policy and evaluate it. In the process of the research, the effect of the 52-hour work reduction policy on female workers' overall job satisfaction, wage and income satisfaction, working time satisfaction, overall life satisfaction, and leisure life satisfaction was analyzed and examined. Among them, the effect was significant with leisure life satisfaction, and the 52-hour work reduction policy was found to enhance leisure life satisfaction by securing leisure time for female workers.์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ชฉ์  ๋ฐ ํ•„์š”์„ฑ 1 1. ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๊ทผ๋กœ ์‹œ๊ฐ„ ํ˜„ํ™ฉ 1 2. ์—ฌ์„ฑ์˜ ์ผ-์ƒํ™œ ๊ท ํ˜•๊ณผ ๋ณธ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 3 ์ œ 2 ์žฅ ์ด๋ก ์  ๋…ผ์˜ ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ 5 ์ œ 1 ์ ˆ ์šฐ๋ฆฌ๋‚˜๋ผ ๊ทผ๋กœ ์‹œ๊ฐ„ ๋‹จ์ถ•์˜ ์—ญ์‚ฌ 5 ์ œ 2 ์ ˆ ์ด๋ก ์  ๋…ผ์˜ 8 1. ์ž์› ๋ณด์กด ์ด๋ก  8 2. ์ผ-์ƒํ™œ ๊ท ํ˜•์˜ ๊ฐœ๋… 9 ์ œ 3 ์ ˆ ๊ทผ๋กœ ์‹œ๊ฐ„ ๋‹จ์ถ•๊ณผ ๊ด€๋ จํ•œ ์„ ํ–‰์—ฐ๊ตฌ 10 1. ์žฅ์‹œ๊ฐ„ ๊ทผ๋กœ์˜ ์˜ํ–ฅ 11 2. ๊ทผ๋กœ ์‹œ๊ฐ„์ด ์‚ถ์˜ ๋งŒ์กฑ๋„ ๋ฐ ์ง๋ฌด๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 13 ์ œ 4 ์ ˆ ์„ ํ–‰์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ๋ณธ ์—ฐ๊ตฌ์˜ ์ฐจ๋ณ„์  17 ์ œ 3 ์žฅ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 19 ์ œ 1 ์ ˆ ์ž๋ฃŒ ๋ฐ ํ‘œ๋ณธ 19 ์ œ 2 ์ ˆ ๋ถ„์„์˜ ํ‹€๊ณผ ๊ฐ€์„ค์˜ ์„ค์ • 19 1. ์—ฐ๊ตฌ์˜ ๊ฐœ๋…์  ๋ถ„์„ ํ‹€ 19 2. ๊ฐ€์„ค์˜ ์„ค์ • 21 ์ œ 3 ์ ˆ ๋ณ€์ˆ˜์˜ ์„ค๋ช… 22 1. ์ข…์† ๋ณ€์ˆ˜ 22 2. ๋…๋ฆฝ ๋ณ€์ˆ˜ ๋ฐ ํ• ๋‹น ๋ณ€์ˆ˜ 23 3. ํ†ต์ œ ๋ณ€์ˆ˜ 23 ์ œ 4 ์žฅ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 26 ์ œ 1 ์ ˆ ๊ธฐ์ดˆ ํ†ต๊ณ„ ๋ถ„์„ 26 1. ํ†ต์ œ๋ณ€์ˆ˜ ๋ถ„์„ 26 2. ๋…๋ฆฝ๋ณ€์ˆ˜ ๋ถ„์„ 28 3. ์ข…์†๋ณ€์ˆ˜ ๋ถ„์„ 28 ์ œ 2 ์ ˆ ํšŒ๊ท€๋ถˆ์—ฐ์†์„ค๊ณ„(Regression Discontinuity Design; RDD) ๋ถ„์„ 30 1. ์ฃผ 52์‹œ๊ฐ„ ์ƒํ•œ์ œ๊ฐ€ ์—ฌ์„ฑ ๊ทผ๋กœ์ž์˜ ์ „๋ฐ˜์  ์ผ์ž๋ฆฌ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ 30 2. ์ฃผ 52์‹œ๊ฐ„ ์ƒํ•œ์ œ๊ฐ€ ์—ฌ์„ฑ ๊ทผ๋กœ์ž์˜ ์ž„๊ธˆ ๋ฐ ์†Œ๋“ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ 31 3. ์ฃผ 52์‹œ๊ฐ„ ์ƒํ•œ์ œ๊ฐ€ ์—ฌ์„ฑ ๊ทผ๋กœ์ž์˜ ๊ทผ๋กœ์‹œ๊ฐ„ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ 33 4. ์ฃผ 52์‹œ๊ฐ„ ์ƒํ•œ์ œ๊ฐ€ ์—ฌ์„ฑ ๊ทผ๋กœ์ž์˜ ์ „๋ฐ˜์  ์ƒํ™œ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ 34 5. ์ฃผ 52์‹œ๊ฐ„ ์ƒํ•œ์ œ๊ฐ€ ์—ฌ์„ฑ ๊ทผ๋กœ์ž์˜ ์—ฌ๊ฐ€์ƒํ™œ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ 36 ์ œ 3 ์ ˆ ๊ฐ•๊ฑด์„ฑ(Robustness) ๊ฒ€์ • 37 1. ๋ฐ€๋„ ๊ฒ€์ • 37 2. ๋ถˆ์—ฐ์†์„ฑ ๊ฒ€์ • 39 ์ œ 4 ์ ˆ ๊ฐ€์„ค ๊ฒ€์ • ๊ฒฐ๊ณผ 40 ์ œ 5 ์žฅ ๊ฒฐ ๋ก  42 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ ๋ฐ ์‹œ์‚ฌ์  42 1. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 42 2. ์‹œ์‚ฌ์  44 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ–ฅํ›„ ๊ณผ์ œ 44 ์ฐธ๊ณ ๋ฌธํ—Œ 47 Abstract 52์„

    ์œ„์›ํšŒ ํ˜•ํƒœ์˜ ๊ณต๊ณต๊ธฐ๊ด€ ๋ฐ ๊ณต์ง์œ ๊ด€๋‹จ์ฒด๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ํ–‰์ •ํ•™๊ณผ(ํ–‰์ •ํ•™์ „๊ณต), 2022.2. ์šฐ์ง€์ˆ™.This study aims to clarify the factors that determine the transparency of public meeting held in public institutions and public service-related organizations in the form of committees, which are decision-making institutions under the consensus system. Opening the session is important because it is a procedure that guarantees the public's right to know by disclosing the decision-making process made at the meeting. Also, as a civic participatory point of view, it also matters in terms of strengthening administrative responsibility. However, keeping stenographic records is obligatory only for some meetings operated by administrative agencies, and open procedures and standards are not clearly defined in theใ€ŒInformation Disclosure Actใ€. Therefore, organizations established and operated under the Individual Laws without designation as a 'public institution' are able to decide whether or not to open their decision-making process unrestrictedly, so that the process of taking and opening minutes is made opaque in numerous cases. Many factors are considered as factors like the method of disclosure, the form of minutes, the characteristics of organizations and meetings, legal basis, or organizational culture, etc. Qualitative research was selected as the research method, and exploratory research including in-depth interviews was conducted. The subject of the study is 66 meetings of 9 โ€˜committeeโ€™ institutions, and the relationship between factors is investigated by collecting primary data on each characteristic and current status. In the primary analysis, it was found that the characteristics of institutions and meetings are major influencing factors. The level of disclosure was higher when the committee findings are about content regulation than classification, selecting for funding as subsidy. Also, it was found that the subcommittees and independent committees rarely opened their proceedings, while the plenary committees open their records more. Next, open coding was repeated based on the statements obtained from the in-depth interview with the person in charge of the committee meetings and 34 concepts and 14 sub-categories were derived. Finally, an influencing factor model organized into four major categories was derived and examined through these sub-categories. Taken together, this article suggests that several factors had a significant effect on recording minutes: the contents of the meeting, the nature of the meeting, the method of agreement, and the main tasks of the organization. Also, the habitual practice and customary bureaucratic behavior were additionally found to be important influencing factors. As such, the results of this study indicate that it is necessary to expand the scope of โ€˜public institutions under the governmentโ€™, which are subject to the ใ€ŒPublic Archives Actใ€, for the sake of transparency. Also, this study may be useful to encourage the problematic awareness about the necessity of the meeting disclosure and seeking measures to foster transparent practices.๋ณธ ์—ฐ๊ตฌ๋Š” ํ•ฉ์˜์ œ ์˜์‚ฌ๊ฒฐ์ •๊ธฐ๊ด€์ธ ์œ„์›ํšŒ ํ˜•ํƒœ์˜ ๊ณต๊ณต๊ธฐ๊ด€ ๋ฐ ๊ณต์ง์œ ๊ด€๋‹จ์ฒด์—์„œ ์ด๋ฃจ์–ด์ง€๋Š” ํšŒ์˜๊ณต๊ฐœ์˜ ํˆฌ๋ช…์„ฑ์„ ๊ฒฐ์ •ํ•˜๋Š” ์š”์ธ์ด ๋ฌด์—‡์ธ์ง€ ๋ฐํžˆ๊ณ ์ž ํ•˜๋Š”๋ฐ ๋ชฉ์ ์ด ์žˆ๋‹ค. ํšŒ์˜๊ณต๊ฐœ๋Š” ํšŒ์˜์—์„œ ์ด๋ฃจ์–ด์ง€๋Š” ์˜์‚ฌ๊ฒฐ์ •๊ณผ์ •์„ ํˆฌ๋ช…ํ•˜๊ฒŒ ๊ณต๊ฐœํ•จ์œผ๋กœ์„œ ๊ตญ๋ฏผ์˜ ์•Œ ๊ถŒ๋ฆฌ๋ฅผ ๋ณด์žฅํ•˜๊ณ , ์‹œ๋ฏผ์ฐธ์—ฌ์  ๊ด€์ ์—์„œ ํ–‰์ •์˜ ์ฑ…์ž„์„ฑ์„ ๊ฐ•ํ™”ํ•˜๋Š” ์ ˆ์ฐจ๋ผ๋Š” ์ ์—์„œ ์ค‘์š”ํ•˜๋‹ค. ํ•˜์ง€๋งŒ ๊ณต๊ณต๊ธฐ๊ด€์˜ ํšŒ์˜๊ณต๊ฐœ์™€ ๊ด€๋ จํ•˜์—ฌ, ใ€Œ๊ณต๊ณต๊ธฐ๋ก๋ฌผ๋ฒ•ใ€๊ณผ ใ€Œํ–‰์ •๊ธฐ๊ด€์†Œ์†์œ„์›ํšŒ๋ฒ•ใ€์— ๋”ฐ๋ผ ํ–‰์ •๋ถ€์ฒ˜์—์„œ ์šด์˜ํ•˜๋Š” ์ผ๋ถ€ ํšŒ์˜์ฒด์— ๋Œ€ํ•ด์„œ๋งŒ ์†๊ธฐ๋ก ์˜๋ฌด ์ƒ์‚ฐ์ด ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ์œผ๋ฉฐ, ใ€Œ์ •๋ณด๊ณต๊ฐœ๋ฒ•ใ€์—์„œ ๊ณต๊ณต๊ธฐ๊ด€์˜ ํšŒ์˜๊ณต๊ฐœ ๊ธฐ์ค€ ๋ฐ ์ ˆ์ฐจ์— ๋Œ€ํ•ด์„œ ๋ช…ํ™•ํ•˜๊ฒŒ ๊ทœ์ •ํ•˜์ง€ ์•Š๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ๊ณต๊ณต๊ธฐ๊ด€ ์ง€์ •์ด ๋˜์ง€ ์•Š๊ณ  ๊ฐœ๋ณ„๋ฒ•์— ์˜ํ•ด ์„ค๋ฆฝ๋˜์–ด ์šด์˜๋˜๋Š” ๊ณต๊ณต๋ฒ•์ธ์ด๋‚˜ ๊ณต์ง์œ ๊ด€๋‹จ์ฒด์—์„œ์˜ ํšŒ์˜๋Š” ์˜์‚ฌ๊ณต๊ฐœ ์—ฌ๋ถ€๊ฐ€ ๋ช…ํ™•ํ•˜๊ฒŒ ์ •ํ•ด์ง€์ง€ ์•Š์€ ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๊ณ , ํšŒ์˜๋ก ์ž‘์„ฑ๊ณผ ๊ณต๊ฐœ ๊ณผ์ •๋„ ๋ถˆํˆฌ๋ช…ํ•˜๊ฒŒ ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ณต๊ณต๊ธฐ๊ด€ ๋ฐ ๊ณต์ง์œ ๊ด€๋‹จ์ฒด ์ค‘ ๊ธฐ๊ด€์˜ ์ฃผ๋œ ์—ญํ• ๊ณผ ๊ธฐ๋Šฅ์„ ํšŒ์˜์ฒด ๋‚ด๋ถ€์˜ ํ•ฉ์˜์ œ ์˜์‚ฌ๊ฒฐ์ •์„ ํ†ตํ•ด ์ˆ˜ํ–‰ํ•˜๋Š” ์œ„์›ํšŒ ํ˜•ํƒœ ๊ธฐ๊ด€์— ๋Œ€ํ•ด ํšŒ์˜๊ณต๊ฐœ์˜ ํˆฌ๋ช…์„ฑ ํ˜„ํ™ฉ๊ณผ ์ด์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์š”์ธ์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ํšŒ์˜๊ณต๊ฐœ์˜ ํˆฌ๋ช…์„ฑ์— ๋Œ€ํ•ด ํšŒ์˜๋ก ๊ณต๊ฐœ์˜ ํˆฌ๋ช…์„ฑ์€ ํšŒ์˜๋ก ๊ณต๊ฐœ ์—ฌ๋ถ€ ๋ฐ ๊ณต๊ฐœ ๋ฐฉ์‹์„, ํšŒ์˜๋ก ์ž‘์„ฑ์˜ ํˆฌ๋ช…์„ฑ์€ ์†๊ธฐ๋ก, ๋ฐœ์–ธ์š”์ง€, ํšŒ์˜๊ฒฐ๊ณผ ๋“ฑ ํšŒ์˜๋ก ์ž‘์„ฑ ๋ฐฉ์‹์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ์„ ํ–‰์—ฐ๊ตฌ๋Š” ํšŒ์˜๊ณต๊ฐœ์™€ ํ•จ๊ป˜ ์ •๋ณด๊ณต๊ฐœ์˜ ์˜ํ–ฅ์š”์ธ ๋“ฑ์— ๊ด€ํ•œ ์—ฐ๊ตฌ๋ฅผ ํ•จ๊ป˜ ๊ฒ€ํ† ํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๊ธฐ๊ด€์˜ ํŠน์„ฑยท๊ธฐ๋Šฅ, ํšŒ์˜์ฒด์˜ ํŠน์„ฑยท๊ธฐ๋Šฅ ๋“ฑ ์กฐ์งํŠน์„ฑ๊ณผ ๋น„๋‚œํšŒํ”ผ๋™๊ธฐ์— ๊ทผ๊ฑฐํ•œ ๊ด€๋ฃŒํ–‰ํƒœ๋ฅผ ์˜ํ–ฅ์š”์ธ์œผ๋กœ ์‚ดํŽด๋ณผ ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ, ๊ทธ ๋ฐ–์— ๊ธฐ๊ด€ํ˜•ํƒœ, ํšŒ์˜๊ณต๊ฐœ์˜ ๋ฒ•์  ๊ทผ๊ฑฐ ๋“ฑ ๋ฒ•ยท์ œ๋„์  ํ™˜๊ฒฝ ์š”์ธ, ์กฐ์ง ๋‚ด๋ถ€์—์„œ ์ด๋ฃจ์–ด์ง€๋Š” ์กฐ์ง์นจ๋ฌต ๋“ฑ์˜ ์กฐ์ง๋ฌธํ™” ์š”์ธ์„ ํšŒ์˜๊ณต๊ฐœ ํˆฌ๋ช…์„ฑ์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์š”์ธ์œผ๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” ์งˆ์  ์—ฐ๊ตฌ๋ฅผ ์„ ํƒํ•˜์˜€๊ณ , ์‹ฌ์ธต ๋ฉด์ ‘์„ ํฌํ•จํ•œ ํƒ์ƒ‰์  ์—ฐ๊ตฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ณต๊ณต๊ธฐ๊ด€ ๋ฐ ๊ณต์ง์œ ๊ด€๋‹จ์ฒด ์ค‘ โ€˜์œ„์›ํšŒโ€™ ๋ช…์นญ์„ ์ง€๋‹Œ ๊ธฐ๊ด€ 9๊ฐœ, 66๊ฐœ ํšŒ์˜์ฒด๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๊ธฐ๊ด€, ํšŒ์˜์ฒด๋ณ„ ํŠน์„ฑ๊ณผ ํšŒ์˜๋ก ์ž‘์„ฑ ๋ฐ ๊ณต๊ฐœ ํ˜„ํ™ฉ์— ๋Œ€ํ•œ 1์ฐจ ์ž๋ฃŒ๋ฅผ ์ˆ˜์ง‘ํ•˜๊ณ  ๋…๋ฆฝ์„ฑ ๊ฒ€์ •์„ ํ†ตํ•ด ์š”์ธ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ์‚ดํŽด๋ณด์•˜๋‹ค. ๋˜ํ•œ, ๊ทผ๊ฑฐ์ด๋ก ์— ๋”ฐ๋ผ ๊ธฐ๊ด€๋ณ„ ํšŒ์˜๋‹ด๋‹น์ž(8๋ช…)์— ๋Œ€ํ•œ ์‹ฌ์ธต๋ฉด์ ‘์„ ์ง„ํ–‰ํ•˜๊ณ  ์ง„์ˆ ๋ฌธ์„ ๋ถ„์„ํ•˜์—ฌ ์˜ํ–ฅ์š”์ธ์„ ๋ฒ”์ฃผํ™”ํ•˜์˜€๋‹ค. ์กฐ์งํŠน์„ฑ์— ๋”ฐ๋ฅธ ํšŒ์˜๊ณต๊ฐœ ํ˜„ํ™ฉ์˜ ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ์—์„œ๋Š”, ์„ ํ–‰์—ฐ๊ตฌ์—์„œ ์ œ์‹œ๋œ ๊ทœ์ œ-๋น„๊ทœ์ œ ๊ธฐ๊ด€ ๋“ฑ์˜ ๊ธฐ๊ด€ ํŠน์„ฑ๋ณด๋‹ค๋Š” ๊ธฐ๊ด€ ๋ฐ ํšŒ์˜์ฒด์˜ ๊ธฐ๋Šฅ์ด ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜, ์‹ฌ์˜, ์กฐ์ • ๊ธฐ๋Šฅ์˜ ๊ธฐ๊ด€ ๋ฐ ํšŒ์˜์ฒด๊ฐ€ ๋“ฑ๊ธ‰๋ถ„๋ฅ˜, ์ง€์›โ€ค์„ ์ • ๋“ฑ์˜ ๊ธฐ๋Šฅ์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ธฐ๊ด€ ๋ฐ ํšŒ์˜์ฒด์— ๋น„ํ•ด ํšŒ์˜๋ฅผ ๊ณต๊ฐœํ•˜๊ฑฐ๋‚˜ ์†๊ธฐ๋ก์œผ๋กœ ์ž‘์„ฑํ•˜๋Š” ๊ฒฝํ–ฅ์ด ๋” ๋†’์€ ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ํšŒ์˜์ฒด์˜ ์œ ํ˜•์—์„œ๋„ ์ „์ฒดํšŒ์˜์˜ ํšŒ์˜ ๊ณต๊ฐœ ๋น„์œจ์ด ๋†’์€ ๋ฐ˜๋ฉด, ์†Œ์œ„์›ํšŒ๋‚˜ ๋…๋ฆฝ์œ„์›ํšŒ๋Š” ํšŒ์˜๋ฅผ ๊ฑฐ์˜ ๊ณต๊ฐœํ•˜์ง€ ์•Š๋Š” ๊ฒƒ์œผ๋กœ ์กฐ์‚ฌ๋˜์—ˆ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ์‹ฌ์ธต๋ฉด์ ‘์—์„œ ํ™•๋ณดํ•œ ์ง„์ˆ ๋ฌธ์— ๋Œ€ํ•ด, ๊ฐœ๋ฐฉ์ฝ”๋”ฉ์„ ๋ฐ˜๋ณตํ•˜์—ฌ 34๊ฐœ ๊ฐœ๋…๊ณผ 14๊ฐœ์˜ ์†Œ๋ฒ”์ฃผ๋ฅผ ๋„์ถœํ•˜์˜€๊ณ , ์†Œ๋ฒ”์ฃผ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ์žฌ์ฐจ ๋ถ„์„ํ•˜์—ฌ ์ตœ์ข…์ ์œผ๋กœ 4๊ฐ€์ง€ ๋Œ€๋ฒ”์ฃผ๋กœ ์ •๋ฆฌ๋œ ์˜ํ–ฅ์š”์ธ ๋ชจํ˜•์„ ๋„์ถœํ•˜์˜€๋‹ค. ์„ธ๋ถ€ ๋‚ด์šฉ์„ ์‚ดํŽด๋ณด๋ฉด, ํšŒ์˜๋ก ์ž‘์„ฑ ๋ฐ ๊ณต๊ฐœ์˜ ์˜ํ–ฅ์š”์ธ์œผ๋กœ๋Š” ํšŒ์˜์ฒด์˜ ํŠน์„ฑ์ด ๋น„๊ต์  ๋ช…ํ™•ํ•œ ์š”์ธ์œผ๋กœ ์ œ์‹œ๋˜์—ˆ๋‹ค. ์กฐ์ •๊ณผ ์ง€์›โ€ค์„ ์ • ๊ธฐ๋Šฅ์˜ ํšŒ์˜๋‚ด์šฉ์€ ๋น„๊ณต๊ฐœ๋˜์—ˆ์œผ๋ฉฐ, ๋‚ด๋ถ€์šด์˜ ๊ธฐ๋Šฅ์˜ ํšŒ์˜๋‚ด์šฉ์€ ๊ณต๊ฐœํ•˜๋Š” ํ–‰ํƒœ๋ฅผ ์‚ดํŽด๋ณผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ํšŒ์˜์ฒด์˜ ์—ญํ• ์—์„œ ์ž๋ฌธ ์—ญํ• ์˜ ํšŒ์˜์ฒด๋Š” ๋น„๊ณต๊ฐœํ•˜๊ฑฐ๋‚˜ ๋ฐœ์–ธ์š”์ง€๋กœ ์ž‘์„ฑํ•˜๊ณ , ํšŒ์˜์ฒด์˜ ์œ ํ˜•์—์„œ ์ „์ฒดํšŒ์˜ ํšŒ์˜๋ก์€ ์†๊ธฐ๋ก์„ ์ž‘์„ฑโ€ค๊ณต๊ฐœํ•˜๋Š” ๊ฒฝํ–ฅ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŠนํžˆ, ํ˜„ํ™ฉ ๋ถ„์„ ๊ฒฐ๊ณผ์—์„œ๋„ ํšŒ์˜์ฒด์˜ ๊ธฐ๋Šฅ๊ณผ ์œ ํ˜•์— ๋”ฐ๋ผ ํšŒ์˜๋ก ์ž‘์„ฑ ๋ฐ ๊ณต๊ฐœ์— ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ํšŒ์˜์ฒด์˜ ์œ ํ˜• ๋ฐ ๊ธฐ๋Šฅ์ ์ธ ํŠน์„ฑ์ด ํšŒ์˜๊ณต๊ฐœ ํ˜„ํ™ฉ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ํšŒ์˜์ฒด์˜ ์˜์‚ฌ๊ฒฐ์ • ๋ฐฉ๋ฒ•์— ๋”ฐ๋ผ ํšŒ์˜์ฐธ์„์ž๋“ค์˜ ์ž์œ ๋กœ์šด ๋ฐœ์–ธ์„ ์ค‘์‹œํ•˜๋Š” ํšŒ์˜์ฒด๋Š” ์†๊ธฐ๋ก ๋ฐฉ์‹์˜ ํšŒ์˜๋ก์„ ๊ณต๊ฐœํ•˜๋Š” ๊ฒฝํ–ฅ์ด, ํ•ฉ์˜์— ์˜ํ•œ ๊ฒฐ์ •์ด ์ด๋ฃจ์–ด์ง€๋Š” ํšŒ์˜์ฒด๋Š” ๋ฐœ์–ธ์š”์ง€ ๋ฐฉ์‹์˜ ํšŒ์˜๋ก์„ ๋น„๊ณต๊ฐœํ•˜๋Š” ๊ฒฝํ–ฅ์ด ๊ฐ๊ฐ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์•„์šธ๋Ÿฌ, ๊ธฐ๊ด€์˜ ํŠน์„ฑ์—์„œ ์กฐ์ง์˜ ์ฃผ์š” ์—…๋ฌด์— ๋”ฐ๋ผ ํšŒ์˜๋ก ์ž‘์„ฑ ๋ฐ ๊ณต๊ฐœ ํ˜„ํ™ฉ์ด ํ˜„์ €ํžˆ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚˜, ํšŒ์˜์ฒด ์ „๋ฐ˜์˜ ํšŒ์˜๋ก ์ž‘์„ฑ ๋ฐฉ์‹ ๋ฐ ๊ณต๊ฐœ ์—ฌ๋ถ€๊ฐ€ ๊ธฐ๊ด€์˜ ์„ฑ๊ฒฉ ๋ฐ ์ฃผ์š” ํšŒ์˜์ฒด์˜ ์šด์˜ ๋ฐฉ์‹์— ์˜ํ–ฅ์„ ๋ฐ›๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ์œผ๋ฉฐ, ์—…๋ฌด์ƒ ๊ด€ํ–‰์ด๋‚˜ ์‚ฌ๋ฌด์ฒ˜์˜ ์†Œ๊ทน์  ์—ญํ• ๊ณผ ํ•จ๊ป˜, ๋‹ด๋‹น์ž๊ฐ€ ์—…๋ฌด์ƒ์˜ ์ค‘๋ฆฝ์„ฑ ๋˜๋Š” ํšจ์œจ์„ฑ์„ ์ถ”๊ตฌํ•˜๋Š” ํ–‰ํƒœ๊ฐ€ ํšŒ์˜๋ก ์ž‘์„ฑ ๋ฐ ๊ณต๊ฐœ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์„ ํ–‰์—ฐ๊ตฌ์—์„œ ์ œ์‹œ๋œ ๋น„๋‚œํšŒํ”ผ๋™๊ธฐ์— ๊ทผ๊ฑฐํ•œ ๊ด€๋ฃŒํ–‰ํƒœ๊ฐ€ ํšŒ์˜๊ณต๊ฐœ์˜ ํˆฌ๋ช…์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ, ๋ฏผ๊ฐํ•œ ์Ÿ์ ์ด๋‚˜ ์‚ฌ์•ˆ์— ๋Œ€ํ•œ ์–ธ๋ก ์˜ ๊ด€์‹ฌ์œผ๋กœ ์ธํ•ด ๋ฌธ์ œ์˜ ์†Œ์ง€๊ฐ€ ์žˆ๋Š” ๋ฐœ์–ธ์ด๋‚˜ ํ‘œํ˜„์„ ์ˆ˜์ •โ€ค์‚ญ์ œํ•˜๋Š” ํ–‰ํƒœ๊ฐ€ ๊ฐ•ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์™ธ๋ถ€ ์ง€์ ์— ๋”ฐ๋ผ ํšŒ์˜๋ก ์ž‘์„ฑ ๋ฐฉ์‹ ๋ฐ ๊ณต๊ฐœ ์—ฌ๋ถ€๊ฐ€ ๊ฒฐ์ •๋˜๋Š” ์‚ฌ๋ก€๋„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด์™€ ๊ฐ™์ด, ๋ณธ ์—ฐ๊ตฌ๋Š” ํšŒ์˜๊ณต๊ฐœ ๊ด€๋ จ ์—ฐ๊ตฌ๊ฐ€ ๋‹ค์†Œ ๋ฏธ๋น„ํ•œ ๊ฐ€์šด๋ฐ ๊ณต๊ณต๊ธฐ๊ด€์˜ ํšŒ์˜๊ณต๊ฐœ ํ˜„ํ™ฉ๊ณผ ์ •๋ณด๊ณต๊ฐœ ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ์—์„œ ๋„์ถœ๋œ ์กฐ์งํŠน์„ฑ๊ณผ ๊ด€๋ฃŒํ–‰ํƒœ ๋“ฑ์˜ ์˜ํ–ฅ์š”์ธ์— ๋Œ€ํ•œ ํƒ์ƒ‰์  ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์—ฌ, ํšŒ์˜๊ณต๊ฐœ ํ˜„ํ™ฉ ๊ด€๋ จ ๊ธฐ์ˆ ์  ๋ถ„์„์—์„œ ๋“œ๋Ÿฌ๋‚œ ์œ ์˜ํ•œ ์˜ํ–ฅ์š”์ธ์ด ํšŒ์˜๋‹ด๋‹น์ž์— ๋Œ€ํ•œ ์‹ฌ์ธต๋ฉด์ ‘์˜ ๋ฒ”์ฃผํ™” ๊ณผ์ •์—์„œ ์–ด๋–ป๊ฒŒ ์„ค๋ช…๋˜๋Š”์ง€๋ฅผ ๋งฅ๋ฝ์ ์œผ๋กœ ๊ฒ€ํ† ํ•˜์˜€๋‹ค๋Š” ์ ์—์„œ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด, ๊ณต๊ณต๊ธฐ๊ด€ ์†Œ๊ด€ ํšŒ์˜์ฒด ์ „๋ฐ˜์˜ ํšŒ์˜๊ณต๊ฐœ ํˆฌ๋ช…์„ฑ์„ ์ œ๊ณ ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ใ€Œ๊ณต๊ณต๊ธฐ๋ก๋ฌผ๋ฒ•ใ€์˜ ์ ์šฉ์„ ๋ฐ›๋Š” โ€˜์ •๋ถ€์‚ฐํ•˜ ๊ณต๊ณต๊ธฐ๊ด€โ€™์˜ ๋ฒ”์œ„ ํ™•๋Œ€๊ฐ€ ํ•„์š”ํ•˜๋‹ค๋Š” ์ ์„ ์•Œ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด์™€ ๋”๋ถˆ์–ด ์ฃผ์š” ํšŒ์˜์ฒด ์šด์˜ ๋ฐฉ์‹ ๋ฐ ์กฐ์ง ๋‚ด๋ถ€์˜ ์—…๋ฌด ๊ด€ํ–‰, ์‚ฌ๋ฌด์ฒ˜์˜ ์†Œ๊ทน์  ์—ญํ•  ๋“ฑ ๋‹ค์–‘ํ•œ ์ด์œ ๋กœ ํšŒ์˜๊ณต๊ฐœ๊ฐ€ ํˆฌ๋ช…ํ•˜๊ฒŒ ์ด๋ฃจ์–ด์ง€์ง€ ์•Š๋Š” ๊ฒƒ์— ๋Œ€ํ•ด ์กฐ์ง ๋‚ด๋ถ€์˜ ๋ฌธ์ œ์˜์‹์„ ํ™•๋ณดํ•˜์—ฌ ํšŒ์˜๊ณต๊ฐœ์˜ ํˆฌ๋ช…์„ฑ์„ ์ œ๊ณ ํ•˜๋Š” ๋ฐฉ์•ˆ์„ ๋ชจ์ƒ‰ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” ๋ฐ์— ์‹œ์‚ฌ์ ์ด ์žˆ๋‹ค.์ œ1์žฅ ์„œ๋ก  1 ์ œ1์ ˆ ์—ฐ๊ตฌ์˜ ๋ชฉ์  1 ์ œ2์ ˆ ์—ฐ๊ตฌ๋ฒ”์œ„ ๋ฐ ๋ฐฉ๋ฒ• 6 ์ œ2์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 7 ์ œ1์ ˆ ํšŒ์˜๊ณต๊ฐœ 7 1. ๊ตญ๋ฏผ์˜ ์•Œ๊ถŒ๋ฆฌ์™€ ํšŒ์˜๊ณต๊ฐœ 7 2. ํšŒ์˜๊ณต๊ฐœ์˜ ์ œ๋„์  ๊ทผ๊ฑฐ 8 3. ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ 13 ์ œ2์ ˆ ํšŒ์˜๊ณต๊ฐœ์˜ ํˆฌ๋ช…์„ฑ ๊ด€๋ จ ์˜ํ–ฅ ์š”์ธ 16 1. ์ •๋ณด๊ณต๊ฐœ ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ 16 2. ํšŒ์˜๊ณต๊ฐœ ํˆฌ๋ช…์„ฑ์˜ ์˜ํ–ฅ ์š”์ธ 18 ์ œ3์ ˆ ์—ฐ๊ตฌ๋ฌธ์ œ ๋ฐ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 26 1. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 26 2. ์ž๋ฃŒ์ˆ˜์ง‘ ๋ฐฉ๋ฒ• ๋ฐ ๋Œ€์ƒ 29 3. ์—ฐ๊ตฌ๋ฌธ์ œ ๋ฐ ๋ฉด์ ‘์งˆ๋ฌธ 33 ์ œ3์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ 45 ์ œ1์ ˆ ๊ธฐ๊ด€๋ณ„ ํšŒ์˜๊ณต๊ฐœ ํ˜„ํ™ฉ 45 ์ œ2์ ˆ ์กฐ์งํŠน์„ฑ๊ณผ ํšŒ์˜๊ณต๊ฐœ ํ˜„ํ™ฉ ๋ถ„์„ 53 ์ œ3์ ˆ ์‹ฌ์ธต๋ฉด์ ‘ ๋‚ด์šฉ ๋ถ„์„ 70 ์ œ4์žฅ ๊ฒฐ๋ก  113 ์ œ1์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ ๋ฐ ์ •์ฑ…์  ์‹œ์‚ฌ์  119 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ์˜์˜ ๋ฐ ํ•œ๊ณ„ 117 ์ฐธ๊ณ ๋ฌธํ—Œ 119 Abstract 122์„

    Optimization Research of 3D Printer Associated with Properties of Photocurable Resins for Ocular Prosthesis Producing

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    Recently, various researches on materials and equipment have been actively conducted to overcome the limitations of conventional output methods due to the increase of diversity of 3D printing materials and to adopt an output method suitable for the characteristics of each material. As the range applicable to outputable materials is expanded, manufacturing of medical devices applied to patients is in a more rapid growth trend than other fields. In this study, we investigated the suitable materials for fabricating 3D printer using photocurable resin. As a result, one suitable material was selected through biological safety experiment and thermal stability experiment. Next, to optimize the output of the selected materials, we have developed a system that optimizes the equipment according to the characteristics of the material. The results of this study enabled the implementation of personalized medical implants that could not be made from 3D printer dependent materials, thereby overcoming the limitations of existing 3D printer output conditions and dedicated materials.ope

    Long-lasting restoration of memory function and hippocampal synaptic plasticity by focused ultrasound in Alzheimer's disease

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    Background: Focused ultrasound (FUS) is a medical technology that non-invasively stimulates the brain and has been applied in thermal ablation, bloodโ€“brain barrier (BBB) opening, and neuromodulation. In recent years, numerous experiences and indications for the use of FUS in clinical and preclinical studies have rapidly expanded. Focused ultrasound-mediated BBB opening induces cognitive enhancement and neurogenesis; however, the underlying mechanisms have not been elucidated. Methods: Here, we investigate the effects of FUS-mediated BBB opening on hippocampal long-term potentiation (LTP) and cognitive function in a 5xFAD mouse model of Alzheimer's disease (AD). We applied FUS with microbubble to the hippocampus and LTP was measured 6 weeks after BBB opening using FUS. Field recordings were made with a concentric bipolar electrode positioned in the CA1 region using an extracellular glass pipette filled with artificial cerebrospinal fluid. Morris water maze and Y-maze was performed to test cognitive function. Results: Our results demonstrated that FUS-mediated BBB opening has a significant impact on increasing LTP at Schaffer collateral - CA1 synapses and rescues cognitive dysfunction and working memory. These effects persisted for up to 7 weeks post-treatment. Also, FUS-mediated BBB opening in the hippocampus increased PKA phosphorylation. Conclusion: Therefore, it could be a promising treatment for neurodegenerative diseases as it remarkably increases LTP, thereby improving working memory. ยฉ 2023 The Author(s)ope

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    Thesis(doctor`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ˆ˜์˜ํ•™๊ณผ ์ˆ˜์˜๋ฏธ์ƒ๋ฌผํ•™์ „๊ณต,2005.Docto
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