• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.41-46
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• 2024

In this study, we sought to confirm the potential of the Chaetomorpha torta extract as a raw material for cosmetics. Accordingly, we sought to find the optimal extraction conditions for Chaetomorpha torta by ethanol concentration and to check whether it has an anti-inflammatory effect by confirming the inhibitory effect of pro-inflammatory cytokines (TNF-α, IL-1β, IL-6). The main contents of the experiment results are as follows. First, when DPPH radical scavenging ability and polyphenol yield were used as the criteria for optimal extraction conditions of Chaetomorpha torta, 70% concentration ethanol extract was most suitable. Second, as a result of cytotoxicity evaluation using Raw 264.7, no cytotoxicity was observed at concentrations below 100 ㎍/mL. Third, as a result of measuring the inhibitory effect of pro-inflammatory cytokines TNF-α, IL-1β, and IL-6 in LPS-induced Raw 264.7 cells, the production of all cytokines decreased in proportion to the concentration, and 100 ㎍/mL It was confirmed that the concentrations were 73.76±2.6%, 84.8±2.42%, and 91.91±0.47%, respectively, showing excellent anti-inflammatory properties. According to these research results, it appears that the extract of the Chaetomorpha torta can be valuable as a raw material for cosmetics with anti-inflammatory properties, and if research on antioxidant, antibacterial, and anti-inflammatory activities related to green algae is conducted more actively, marine resources can be used as useful basic data. It is believed that it will be.

• 농업기술회보
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• v.46 no.1
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• pp.32-33
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• 2009

• Journal of the Korean Professional Engineers Association
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• v.41 no.5
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• pp.72-74
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• 2008

• The Hankook-Saengyark Bo
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• no.217
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• pp.4-4
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• 1997

• Monthly Duck's Village
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• s.119
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• pp.78-79
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• 2013

• Proceedings of the KHMA Conference
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• 2002.11a
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• pp.39-40
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• 2002

• Railway Journal
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• v.19 no.2
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• pp.113-121
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• 2016

• Korean Architects
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• no.7 s.375
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• pp.44-47
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• 2000

• Journal of Korean Society of Transportation
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• v.32 no.2
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• pp.139-151
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• 2014

This paper analyzes factors affecting rail transit ridership at urban rail stations of the Daegu Metropolitan City in 2011. Rail transit ridership is analyzed by dividing weekdays and weekends in order that their differences may be observed. The data used in this study includes various explanatory variables, such as floor area which was collected from building ledger and GIS cadastral map, number of bus routes(line) possible to transfer from urban rail transit, number of students enrolled in middle and high schools, and universities located in access areas of rail transit. For this study, multiple regression models are estimated including various explanatory variables affecting rail transit ridership of weekdays and weekends. From the study, the number of statistically significant explanatory variables and the relative effect of each variable are shown to be different between weekdays and weekends.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.460-472
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• 2015

The aim of this study is to analyze the Weekend and January effect in the Ghana Stock Exchange (GSE) using daily closing prices of GSE-All Share Index (ASI) and Composite Index (CI) between the period of January 4th, 2005 and December 31st, 2013. The dataset covers the period of 2005 to 2010 (6 years) for the ASI and 2011 to 2013 (3 years) for the CI. The following results are obtained based on a parametric regression using dummy variables. First, no weekly effect or anomaly is documented for both GSE-ASI and GSE-CI. Second, market abnormalities are captured for both GSE-ASI and GSE-CI over their respective entire periods. However, no consistent April effect is found for ASI when the period was segregated into two periods of three years. The April effect is uncovered for the GSE-ASI at 5% significant level while the January effect is found for the GSE-CI at 1% significant level.