• Asian-Australasian Journal of Animal Sciences
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• v.30 no.1
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• pp.111-118
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• 2017

Objective: Adipose tissue plays a key role in the development of obesity and diabetes. We previously reported that lignosulfonic acid suppresses the rise in blood glucose levels through the inhibition of ${\alpha}$-glucosidase activity and intestinal glucose absorption. The purpose of this study is to examine further biological activities of lignosulfonic acid. Methods: In this study, we examined the effect of lignosulfonic acid on differentiation of 3T3-L1 cells. Results: While lignosulfonic acid inhibited proliferation (mitotic clonal expansion) after induction of differentiation, lignosulfonic acid significantly increased the size of accumulated lipid droplets in the cells. Semi-quantitative reverse transcription polymerase chain reaction analysis showed that lignosulfonic acid increased the expression of the adipogenic transcription factor, peroxisome proliferator-activated receptor gamma ($PPAR{\gamma}$), leading to increased glucose transporter 4 (Glut-4) expression and 2-deoxyglucose uptake in differentiated 3T3-L1 cells. Additionally, feeding lignosulfonic acid to diabetic KK-Ay mice suppressed increase of blood glucose level. Conclusion: Lignosulfonic acid may be useful as a functional anti-diabetic component of food.

• Journal of Family Resource Management and Policy Review
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• v.14 no.4
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• pp.173-191
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• 2010

The purpose of this study is to identify the relationship between pro-environmental consumption consciousness and resource saving behavior of university students. This research has been conducted in 2005 through a written questionnaire with the students of a university in Seoul. After a preliminary research, the main research bas been executed in number of 616 copies. The date were analyzed by statistical methods such as frequencies, precentiles, means, the standard deviations, Crobach's a coefficient, one-way ANOVA, and multiple regression analysis using SPSS statistics program. The major findings of this study were as follows. The pro-environmental consumption consciousness of the university students is the most important factor of doing resource saving behavior. The university students are the group that is going to take responsibility for a national economy and future society. Therefore, it is very important to educate them for establishing the rational consciousness of consumption in order to improve their consumption behavior and skills, because the consciousness formed in this period leads to the propensity to consume when they become adults.

• Journal of Environmental Science International
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• v.29 no.7
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• pp.715-727
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• 2020

It is well known that atmospheric environments, including both meteorology and air quality, significantly affect public health, such as chronic lung disease and cancer, and respiratory infections. In this study, we have analyzed correlations between the number of daily respiratory outpatients and the atmospheric environments data for about ten years for the city of Busan, South Korea. The respiratory problem patients data have been categorized into two health-vulnerable groups by age over 65(DayPA_O65) and under 20(DayPA_U20), each of which shows relatively higher correlations with air quality and meteorology, respectively. However, time series analysis with factor separation results in that DayPA_O65 and DayPA_U20 show a higher relation with variance components and daily irregular factors of atmospheric concentrations, respectively.

• Journal of Environmental Impact Assessment
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• v.18 no.6
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• pp.367-376
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• 2009

This paper proposes an application methodology of AHP(Analytic Hierarchy Process) based decision making theory for improvement priority by assessment of various risk factors affecting on deterioration of water supply systems, as major social infrastructure. AHP method is organized with three level of hierarchy which is introduced for multi-criteria decision making in this study. In the first level, assessment outputs are calculated by AHP for each affecting factor. In the second level, criteria are estimated by using assessment results with respect to structural and environmental factors. Consequently, ranking decision is performed in the third level. In order to present the effectiveness, a proposed method is compared with FCP(Fuzzy Composite Programming) for decision making. Since the results of the proposed method show better performance with consistent results, it can be applied as an efficient information for the determination for improvement priority of the study infrastructure.

• Environmental Engineering Research
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• v.25 no.3
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• pp.374-383
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• 2020

Landfill gas (LFG) emissions from a given amount of landfill waste depend on the carbon flows in the waste. The objective of this study was to more accurately estimate the first-order decay parameters through methane (CH₄) and carbon flow balances based on the analysis of a full-scale landfill with long-term data and detailed field records on LFG and leachate. The carbon storage factor for the case-study landfill was 0.055 g-degradable organic carbon (DOC) stored per g-wet waste and the amounts of DOC lost with the leachate were less than 1.3%. The appropriate CH₄ generation rate constant (k) for bulk waste was 0.24 y-1. The the CH₄ generation potential (L0) values ranged 33.7-46.7 m3-CH₄ Mg-1, based on the fraction of DOC that can decompose (DOCf) value of 0.40. Results show that CH4 and carbon flow balance methods can be used to estimate model parameters appropriately and to predict long-term carbon emissions from landfills.

• The Research Journal of the Costume Culture
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• v.27 no.2
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• pp.181-192
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• 2019

The growth of cheap, industrial, mass-production-so-called "fast fashion"-has led to dramatic increases in levels of consumption. Inexpensive products tend to foster unsustainable consumption behaviors, which negatively impact the environment and increase pressure to obtain goods at lower and lower prices; this, in turn, has the competitive effect of decreasing wages. This study focused on the concept of socially responsible consciousness in relation to fashion products. Environmental and labor issue concerns were employed as major variables. Empirical data were collected from males and females, between the ages of 10 and 50. Demographic differences were found in SR consciousness. For example, participants in their 10s, 40s, and 50s had higher levels of SR consciousness than those in their 20s and 30s. In addition, consumers' levels of environmental and labor issue concerns had varying effects on the criteria they used to select clothing. Product category type was also an influential factor. Moreover, the analysis showed that SR consciousness was less important in the apparel industry than in the food sector. The study also found an attitude-behavior link in relation to the concept of SR consciousness. The link was stronger for environmental concerns than for labor issue concerns. This study aimed to develop a better understanding of current customers' characteristics and levels of SR consciousness.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.3
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• pp.354-365
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• 2019

Megabenthos samples were collected using 10-min trawls towed at 17 stations from 2015 to 2016. The dominant species (>1% of the total density) were Stegophiura sterea (10.4%) and two subtropical species, Mactrinula dolabrata (9.0%) and Acila divaricate (8.3%), respectively. The community structure of the megabenthos fell into four groups: the southeast, the southernmost region off Jeju Island, the frontal zone of the South Sea with C3, and a diagonal area from the south coast to the western side of Jeju Island. The total numbers of species, diversity, density and biomass were higher in the C3 region of the South Sea. Environmental factor analysis showed that differences in the megabenthos community were related to depth, gravel contents, and sorting value (${\sigma}$). These results indicate that changes in the marine environmental conditions in the South Sea of Korea affect the megabenthos species' composition and diversity.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.36 no.1
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• pp.3-14
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• 2020

Dormitories of Korean university are planned to pursue qualitative growth after a period of quantitative growth in the 1970s. However, since the 1990s, the physical plan for qualitative growth has not changed significantly and the effects of these changes on dormitory residents has not been verified. The purpose of this study is to identify the environmental factors influencing dormitory life adaptation and to provide a basis for qualitative growth of university dormitories to help dormitory residents adapt to the environment. The research was conducted in three stages. First, the elements of the residential environment of the dormitory complex, which is an independent variable, were derived. The dormitory life adaptation scale was developed to measure the dependent variable. Secondly, a questionnaire survey was conducted to obtain the environmental factors of current dormitory and previous residence and three elements of dormitory life adaptation; 'acceptance of change', 'familiarity', and 'anxiety'. Third, statistical analysis was conducted to determine whether each factor influenced dormitory life adaptation.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.3
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• pp.99-114
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• 2021

We examined a current status of damage in biodiversity and its causing factors in Hasidong Anin coastal dune, Gangneung-si, Gangwon province which is designated as ecological and landscape conservation area. In this study, we found that ecosystem and biodiversity have been primarily damaged by anthropogenic factors such as the construction of surrounding area, military facilities illegally dumped garbage and the expansion of windbreak forest. These factors occur to damage the landscape, ecosystem and biodiversity etc. There is a significant lack of basic data needed for preservation and restoration due to the lack of prior research and value assessment. In order to establish solutions for preservation and restoration, it is critical to collect fundamental data and implement value assessments. Therefore, further studies such as ecosystem services assessment, increasing biodiversity, spatial analysis and monitoring of various items related to coastal dunes are needed.

• Smart Media Journal
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• v.11 no.5
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• pp.38-47
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• 2022

Honey is one of the most significant ingredients in conventional food production in different regions of the world. Honey is commonly used as an ingredient in ethnic food. Beekeeping is performed in various locations as part of the local food culture and an occupation related to pollinator production. It is important to conduct beekeeping so that it generates food culture and helps regulate the regional environment in an integrated manner in preserving and improving local food culture. This study analyzes different types of environmental factors of a smart bee farm. The major goal of this study is to determine the best prediction model between the linear regression model (LM) and the support vector regression model (SVR) based on the environmental factors of a smart bee farm. The performance of prediction models is measured by R² value, root mean squared error (RMSE), and mean absolute error (MAE). From all analysis reports, the best prediction model is the support vector regression model (SVR) with a low coefficient of variation, and the R² values for Farm inside temperature, bee box inside temperature, and Farm inside humidity are 0.97, 0.96, and 0.44.