• Title/Summary/Keyword: 청자

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Isoflavone Composition and Estrogenic Activity of Germinated Soybeans (Glycine max) according to Variety (품종별 발아 콩(Glycine max)의 아이소플라본 조성 및 In Vitro 에스트로겐 유사활성)

  • Kim, Min Young;Jang, Gwi Yeong;Ji, Yeong Mi;Kim, Kyung Mi;Kim, Hongsik;Lee, Junsoo;Jeong, Heon Sang
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.45 no.10
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    • pp.1430-1437
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    • 2016
  • This study was performed to investigate the changes in isoflavone composition, estrogenic activity and antiestrogenic activity of soybean cultivars of different isoflavone content (Aga 8, Uram, Cheongja 3, and Dawon) with germination. Total isoflavone contents of Aga 8, Dawon and Cheongja 3 was increased from 2,671.74, 261.08 and 2,240.08 to 2,977.50, 966.13 and $2,354.11{\mu}g/g$, respectively after germination except for Uram cultivars, and highest contents of total isoflavone showed $2,977.50{\mu}g/g$ and $2,354.11{\mu}g/g$, respectively in Aga 8 and Cheongja 3 after germination. MTT cell proliferation assay using MCF-7 cells revealed that germinated soybean of Aga 8 and Cheonja 3 obtained not only contained a high content of isoflavone but also had estrogenic activity. Estrogenic activity of Aga 8 and Cheongja 3 soybean extracts increased from 116.21% and 101.60% to 135.34% and 121.05% after germination. These results suggest that germinated soybean of Aga 8 and Cheongja 3 might have a potential preventive effect on estrogen-deficient diseases.

Scientific Comparison Study on Characteristics of Firing and Making Materials for Sherds Excavated from Celadon Kiln Site of Punggil-ri, Jangheung (장흥 풍길리 청자요지 출토 도자기들의 소성특성 및 재료학적 상관성 비교 연구)

  • Han, Min Su;Lee, Jang Jon
    • Journal of Conservation Science
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    • v.36 no.2
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    • pp.112-122
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    • 2020
  • The purpose of this study was to find out the correlation through comparative analysis of used materials and manufacturing techniques such as firing characteristics for sherds excavated from celadon kiln site in Punggil-ri, Jangheung. The color difference of the sherds was very wide, and even in the microstructure of the cross section of the glaze layer and the body layer, the celadons, whitewares, blackware, and stonewares could not be characterized because they did not show distinct differences from each other. As a result of estimating the firing temperature through the analysis of constituent minerals and thermal analysis, most of them were estimated to have been fired at 1000℃, but some were fired at high temperatures above 1200℃. It was difficult to clearly distinguish between celadon and whiteware even in the major compositional content of bodies. In the statistical analysis, glaze could be classified three group according to the type of sherds, but the bodies of celadons, whitewares, and blackware classified into one similar group. It is considered that it is not more likely differences in raw materials but some ingredients were removed or added during the purification process. Conclusionally, in this kiln site was found through scientific analysis that there were technical attempts to produce various ceramics, and that the manufacturing techniques and materials of ceramics were in an early stage that was not stabilized.

Identification of Voice for Listeners who Feel Favor Using Voice Analysis (음성 분석을 이용한 청자가 호감을 느끼는 목소리에 대한 규명)

  • Choi, Ji Hyun;Cho, Dong Uk;Jeong, Yeon Man
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.1
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    • pp.122-131
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    • 2016
  • In the smart societies, such as the current unlike in the past, the voice that listeners will feel favor is changing through the development of ICT technologies and infrastructure. In other words, in the past, loud, intensive and fast voice is a favorite but now a new social and cultural situation that is changing them with ICT technologies. Now, this becomes one of the important things that we clarify 'Is it a voice that feels a favor?'. For this, in this paper, we identified what voice that listeners feel favor by applying ICT technologies. Studies were carried out to proceed largely divided into two categories. Firstly, as the quantified data, we extracted the impact on favorable feeling of listeners which related with emotional speech by empirical analysis work. To do this, we performed the experiment for the public. Secondly, we identified what kind of voice which listeners feel a good impression. For this, we identified voice characteristics that there are people who are influential in the real society. Also, we extracted both the voice characteristics of each influential people and common voice characteristics. In addition, we want to overcome the problems of qualitative methods that have originally limitations in objective respects which is significant to the voice analysis. For this, we performed the experiments of the voice analysis by numerical and visual approaches.