• Journal of Environmental Policy
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• v.9 no.4
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• pp.3-27
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• 2010

In this paper, we have analyzed the cost structure of the Korean manufacturing industry in relation to the central government's environmental investment(CGEI below) by applying translog variable cost function. Important findings are as follows. First, sufficiency degree of CGEI of 0.7230, less than optimal level of 1, causes production inefficiency. Therefore, central government should forward a strategy to raise CGEI to meet appropriate standards. In addition, inspite of the deficiency of CGEI, shadow priceis lower than market price due to q-value of 0.9572, yielding unfavorable conditions for CGEI. However, CGEI brings about increase in output, variable cost saving, and economies of scale of firms. Second, by comparing this study with an existing study(2010), we have discovered the following facts. In both studies, we find that there are deficiency of investment, unfavorable conditions in investment, economies of scale, and output increase due to investment. However, the current study has found that, CGEI, which shows efficiency by positive(+) shadow price, saves variable cost. Therefore, firms suffer from production inefficiency due to variable cost caused by a shortage of efficient CGEI. Moreover, the previous study conducted in 2010 found that investment in prevention of environmental pollution(IPEP below), which indicates inefficiency by negative(-) shadow price, cannot reduce variable cost. In such circumstances, firms yield abnormal production efficiency based on variable cost savings caused by inefficient IPEP. For this reason, firms should raise IPEP to optimal level to reduce IPEP inefficiency to achieve production efficiency by reducing variable cost.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.6
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• pp.1732-1741
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• 2006

Obesity is chronic disease which influenced on health severly. The causes of obesity have been known as life change, lack of excercise, genetic factor, mental and social economic factors. Especially the obesity of women increased the risk of the diseases such as DM, osteoarthritis, cardiovascular disease, breast cancer and infertility. The limitations of the widely used negative definition of health as the absence of disease and WHO's 1946 definition of health as total social, psychological and physical well-being have long been recognized (WHO 1958). The Quality of Life (QoL) includes functional ability, the degree and quality of social and community interaction, psychological well-being as somatic sensation and life satisfaction. I investigated to compare the differences between obese women (n=63), non-obese women (n=37) in clinic and general women (n=43, control) on baseline characteristics and WHO QoL-BREF. The purpose of this study is to assist the diagnosis and treatment of obesity. WHO QoL-BREF is self administered type which consisted of 26 questions. The prospective question is calculated with 5 scores by Likert's method. The results are as follows : The means of physical, psychological, social, overall and total scores of QoL were significant among BMI group (P<0.05). The score of control group (BMI < 25) was higher than other groups significantly (P<0.05). In multiple regression analysis, the variable of high school/below middle school was significant in environmental and overall domain of QoL scores (P<0.05). The variable of college/below middle school was significant in environmental, overall domain and total score of QoL scores (P<0.05). The variable of above university/below middle school was significant in physical health, environmental, overall domain and total score in QoL scores (P<0.05). The variable of Health perception (moderate/bad) was positively significant in physical health, environmental, overall domain and total score of QoL scores (P<0.05). The variable of Health perception (good/bed) was positively significant in physical health, environmental, social, overall domain and total score of QoL scores (P<0.05). The variable as BMI non-=obese women/control was negatively significant in social domain of QoL scores (P<0.05). Above the results, It suggests that the variable as BMI did't affect on the QoL in patients and control, but the variables as education and health perception affected on the QoL scores. Further study is required to conduct QoL differences between before and after treatment of obese patients.

• Genomics & Informatics
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• v.2 no.1
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• pp.53-56
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• 2004

• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 2006.09a
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• pp.690-691
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• 2006

Variable valve timing unit, which is able to decrease environmental load and improve fuel economy is loaded onto many automobiles recently. This unit consists mainly of sprocket, housing and rotor. These parts are requested different properties according to environment. We produce sintered parts for variable valve timing unit by selecting compact, sinter process and special treatment according to demanded properties. In this paper, demanded properties of sintered parts for variable valve timing unit and adopted technique to satisfy them are presented.

• Journal of Environmental Impact Assessment
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• v.20 no.6
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• pp.891-905
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• 2011

Climate vulnerability index is usually defined as a function of the climate exposure, sensitivity, and adaptive capacity, which requires adequate selection of proxy variables of each variable. We selected and used 9 proxy variables related to climate exposure in the literature, and diagnosed the adequacy of them for application in Korean peninsula. The selected proxy variables are: four variables from temperature, three from precipitation, one from wind speed, and one from relative humidity. We collected climate data over both previous year (1981~2010) and future climate scenario (A1B scenario of IPCC SERES) for 2020, 2050, and 2100. We introduced the spatial and temporal diagnostic statistical parameters, and evaluated both spatial and time variabilities in the relative scale. Of 9 proxy variables, effective humidity indicated the most sensitive to climate change temporally with the biggest spatial variability, implying a good proxy variable in diagnostics of climate change vulnerability in Korea. The second most sensitive variable is the frequency of strong wind speed with a decreasing trend, suggesting that it should be used carefully or may not be of broad utility as a proxy variable in Korea. The A1B scenario of future climate in 2020, 2050 and 2100 matches well with the extension of linear trend of observed variables during 1981~2010, indicating that, except for strong wind speed, the selected proxy variables can be effectively used in calculating the vulnerability index for both past and future climate over Korea. Other local variabilities for the past and future climate in association with climate exposure variables are also discussed here.

• Journal of Environmental Science International
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• v.24 no.6
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• pp.743-753
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• 2015

In this study, it is an object to develop a regression model for the estimation of TOC (total organic carbon) concentration using investigated data for three years from 2010 to 2012 in the Gam Stream unit watershed, and applied in 2009 to verify the applicability of the regression model. TOC and $COD_{Mn}$ (chemical oxygen demand) were appeared to be derived the highest correlation. TOC was significantly correlated with 5 variables including BOD (biological oxygen demand), discharge, SS (suspended solids), Chl-a (chlorophyll a) and TP (total phosphorus) of p<0.01. As a result of PCA (principal component analysis) and FA (factor analysis), COD, TOC, SS, discharge, BOD and TP have been classified as a first factor. TOCe concentration was estimated using the model developed as an independent variable $BOD_5$ and $COD_{Mn}$. R squared value between TOC and measurement TOC is 0.745 and 0.822, respectively. The independent variable were added step by step while removing lower importance variable. Based on the developed optimal model, R squared value between measurement value and estimation value for TOC was 0.852. It was found that multiple independent variables might be a better the estimation of TOC concentration using the regression model equation(in a given sites).

• Ecology and Resilient Infrastructure
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• v.9 no.4
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• pp.207-217
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• 2022

The purpose of this study was to understand and develop various environmental designs to play a key roles in urban design, so that public green spaces remain vital with future changes. Variability in space, ecology, and society were analyzed based on research of variable environmental spaces in 11 selected studies conducted locally and abroad since the 2010s. Moreover, landscape characteristics, design methods, and design strategies were analyzed accordingly for each case. The results of the study showed that variability in landscapes provided various possibilities for spatial change and satisfied people's functional needs for spatial use. In addition, variable environmental design greatly compensated for the defects by solving the issues associated with fixed landscapes by increasing the flexibility of use and adaptability to the environment. This study showed that variable design is applicable to public green spaces; environmental stress; and variability in architecture, the environment, and landscaping, and it contributes to enhancing the sustainability and resilience of the environment.

• Journal of Environmental Science International
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• v.21 no.5
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• pp.545-553
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• 2012

Eco-efficiency considers both environmental impacts and economic values. It is a useful tool for communicating with stakeholders for business decision making. This study evaluated the eco-efficiency factor (EEF) for the energy network of a dyeing company that supplies surplus heat to a neighboring apartment during the night. This symbiosis network is one of the eco-industrial park (EIP) projects in Korea and aims to benefit local residents and the industrial complex by utilizing surplus heat. In this study, two categories were annualized. The first quantified environmental burden based on $CO_2$ emissions and quantified product value in terms of steam sales. The second used a variety of environmental factors, such as fossil fuel, water and waste, to quantify environmental burden and used steam sales to quantify value. The EEF of the symbiosis network was 1.6, using the global warming impact, and determined using the multiple variable, was 1.33. This study shows that the EEF depends on variable details of environmental burden but the values of this project were very high contrast to other business or EIP project.

• Journal of Korean Society for Atmospheric Environment
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• v.11 no.E
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• pp.45-54
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• 1995

Indoor air quality models are useful to predict indoor air pollutant concentrations as a function of several indoor factors. Indoor air quality model was developed to evaluate the pollutant removal efficiency of variable-air-volume/bypass filtration system (VAV/BPFS) compared with the conventional variable-air-volume (VAV) system. This model provides relative pollutant removal effectiveness of VAV/BPFS by concentration ratio between the conventional VAV system and VAV/BPFS. The predictions agree closely, from 5 to 10 percent, with the measured values for each energy load. As a results, we recommend the VAV/BPFS is a promising alternative to conventional VAV system because it is capable of reducing indoor air pollutant concentration and maintaining good indoor air quality.

• Journal of Families and Better Life
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• v.17 no.2
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• pp.121-136
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• 1999

The purpose of this study was to investigate the effect of parent-bonding patterns & environmental variables on rural adolescent's trait-anxiety. The main results were as follows. Frist mother had more affection and father had more overprotection in parent-bonding patterns. Trait-anxiety was the level of medium. Second home atmosphere home life satisfaction parents' scolding health conditions allowance satisfaction friendship the relationship with home teachers school life satisfaction and teacher's scolding were significnat variables on trait anxiety Third an analysis of parent-bonding relationship environmental variable and trait-anxiety showed that school life satisfaction family atmosphere friendship and health conditions were the most crucial environmental variable while father's care and mother's overprotection were the most crucial parent-bonding variables on rural adolescent's trait-anxiety.