• Korean Journal of Clinical Pharmacy
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• v.30 no.2
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• pp.120-126
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• 2020

Objective: The rising number of carbapenemase-resistant Enterobacteriaceae (CRE) cases has become a concern worldwidely. This study investigated patient characteristics with CRE and analyzed the risk factors associated with its acquisition. Methods: A retrospective review of the electronic medical records of the Kangbuk Samsung Medical Center from May 2016 to April 2019 was performed. The inclusion criterion was hospitalized patients aged ≥18 years with confirmed CRE acquisition. Patients were divided by CRE acquired and non-required patients. CRE acquired patients were those with CRE confirmed by their active surveillance cultures, while non-acquired patients were those with carbapenemase-sensitive Enterobacteriaceae (CSE). If CRE was isolated more than once during hospitalization, only the first isolation was used for data analysis. Patient characteristics, antibiotic used, and the duration of use were compared between two groups using univariate analysis, and the risk factors associated with CRE were analyzed using multiple logistic regression analysis. Results: Among the 73 CRE acquired patients, 44 (60.3%) were positive for carbapenemase-producing Enterobacteriaceae (CPE). Infection from Klebsiella pneumonia (42 cases, 57.5%), Escherichia coli (17 cases, 23.3%), and Enterobacter cloacae (5 cases, 6.8%). The risk of CRE acquisition was significantly increased by 4.99 times [confidence interval (CI), 1.40-17.78; p=0.013] with mechanical ventilation, 3.86 times (CI, 1.59-9.36; p=0.003) with penicillin administration, and 21.19 times (CI, 6.53-68.70; p<0.001) with carbapenem administration. Conclusions: Proper antibiotic use including the selection, frequency, and duration, and patients on mechanical ventilators need close monitoring.

• Journal of the Korean GEO-environmental Society
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• v.4 no.3
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• pp.69-77
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• 2003

This study was carried out to evaluate the WASP5 model parameters and to analyze the sensitivity of parameters in Daechung Reservoir. The values predicted by the model and tendency were very similar to the observed data at Daejeon intake, so it is possible to predict water quality of the Daejeon intake region in the future. Results from the sensitivity analysis showed that Chlorophyll-a was sensitive to variations in saturated growth rate of phytoplankton, endogenous respiration rate of phytoplankton, extinction coefficient and temperature. T-N was sensitive to mineralization rate of dissolved organic nitrogen and temperature. T-P was affected by T-P load, temperature, extinction coefficient, mineralization rate of dissolved organic phosphorus and saturated growth rate of phytoplankton. BOD was influenced by deoxygenation rate and temperature, and DO was influenced by temperature. Adequate input data was applied and assessed through the model sensitivity analysis. So it is possible to distinguish the input data which need careful attention when it has application to model.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.99-109
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• 2014

One-parent family is increasing in Korea, changing its forms and identity. One-parent family policy policy should be established in terms of gender analysis, as men-headed family and women-headed family are in the very different situation regarding social status of gender. One-parent family policy needs gender-sensitive perspectives and also should be closely linked with child welfare policy and post-poverty strategies. This paper suggests distinguished situation of one-parent family by gender, and tries to explore specific ways of supporting one-parent family. Most of all, to set up the proper supporting system for one-parent family, the special needs and difficulties are analyzed by gender, which will lead towards the cohesive and holistic family policy.

• Journal of the Korean Society for Railway
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• v.7 no.2
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• pp.155-162
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• 2004

In order to account for a price variation of apartment that places near a newly constructed subway station, a spatial hedonic model was developed to examine spacial characteristics that affect a purchasing price of an apartment using a White Estimator. In particular, the paper aims to examine various effects of subway 7 construction on an apartment price in Seoul Metropolitan Area. As explanatory variables, an apartment size, distance to a closest subway station, distance to the Central Business District (CBD) of Seoul, the number of years after building, and a lagged variable of the apartment purchasing price were used. The lagged variable plays a role of representing a spatial weighted average of previous prices of other apartments that locate within 3 km from the apartment. For a precise study, an entire sample was divided into two sets, southern area and southwestern area of Seoul, and two different spatial hedonic models were estimated. Not only before and after analysis, but also with and without analysis were conducted to compare with different effects of the spatial characteristics of two areas. The results show that before the construction of the subway 7, the prices of the apartments in the southern area were more sensitive to the apartment size, the distance to a closest subway station, the distance to the CBD, and the prices of the other apartments locating within 3km rather than those in the southwestern area. After the construction, on contrast, it is found that the apartment purchasing prices in the southwestern area are more sensitive than those in the southern area due to people's expectation regarding a new development around the subway station. In addition, the prices of the apartments locating closely with a transfer station are more likely to go up by increase in the apartment size, the distance to the station, and the prices of the other apartments within 3 km. Compared with the negative effects of the distance to the station on the prices in the other models, the positive effect of the distance to the transfer station might be caused by the characteristics of commercial area in which people are not likely to live.

• Korean Institute of Interior Design Journal
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• v.24 no.2
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• pp.134-141
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• 2015

Brand space is one of the important elements of urban cultural space and can stimulate the urban culture as a significant landmark. Thus, it is necessary to develop factors for evaluating the communication with users in brand spaces. In particular, factors for evaluating the psychological, emotional aspects of users is essential. This study is aimed at developing evaluation factors with a space marketing perspective through an user behavioral analysis. As for research method, the emotional responses of users will be examined and analyzed through an eye-tracking device. First, The researcher will visit brand spaces and take photos of them to collect data and analyze the status. Second, we filled out the questionnaire based on analytical framework and selected 20 architectural students for survey. Third, Eye-tracking experiment will be conducted. Forth, Space design marketing evaluation factors will be established based on the results. Final, suggestions for future research based on the analysis results. When the 30 images of premium supermarkets were used for the survey, men were more sensitive to the store design. But women were more sensitive to the quality or store accessibility. Also, the furniture factor was most important for women, and spatial factor was most important for men. When the eye-tracking experiment was done as to the 5 selected brand spaces, both men and women looked at the furniture factor that includes the showcases more than anything else. It shows the same result as the previous survey.

• Water for future
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• v.29 no.2
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• pp.179-190
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• 1996

The characteristics of water quality in the downstream of the Han River were analyzed by statistical techniques. Basic characteristics, areal and temporal variations, and correlations of water quality data were investigated. Monthly water quality data have been investigated systematically by exploring data analysis, including time series plot, summary statistics, distribution test, time dependence test, seasonality test and flow relatedness test. Results show that water quality data in this river have seasonality. And applicability of stochastic models such as Thomas-Fiering model and ARMA(1,1) model was identified. From the examination of water quality data related to discharge, it was found that DO and SS are sensitive to water temperature rather than discharge, while BOD and COD are sensitive to discharge at dry seasons. Seasonal periodicities were identified in all water quality variables from the cross correlation analysis.

• Journal of Korea Water Resources Association
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• v.50 no.2
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• pp.121-128
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• 2017

In this study, robustness index and uncertainty analysis were proposed to quantify the risk inherent in the process of climate change vulnerability assessment. The water supply vulnerability for six metropolitan cities (Busan, Daegu, Incheon, Gwangju, Daejeon, and Ulsan), except for Seoul, were prioritized using TOPSIS, a kind of multi-criteria decision making method. The robustness index was used to analyze the possibility of rank reversal and the uncertainty analysis was introduced to derive the minimum changed weights of the criteria that determine the rank reversal between any paired cities. As a result, Incheon and Daegu were found to be very vulnerable and Daegu and Busan were derived to be very sensitive. Although Daegu was relatively vulnerable against the other cities, it can be largely improved by developing and performing various climate change adaptation measures because it is more sensitive. This study can be used as a preliminary assessment for establishing and planning climate change adaptation measure.

• Korean Journal of Ecology and Environment
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• v.43 no.4
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• pp.503-512
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• 2010

This study was conducted to evaluate fish fauna, species composition, and various guilds against stream orders along with analysis of fish community structure and diversity in Geum River watershed from 2005 to 2007. The total number of fish collected was 4,216 representing 12 families with 56 species. Zacco platypus was the most abundant fish species with 26% in relative abundance (RA). Korean endemic species were 24 species including Zacco koreanus, Microphysogobio yaluensis, Gobiobotia nakdongensis, and Iksookimia koreensis, etc. We also collected endangered fish species such as G. nakdongensis, Liobagrus obesus, and Pseudopungtungia nigra, etc., and their new distribution sites were found in the survey, providing some sites of the fish conservation and protection. Fish tolerance and trophic guilds analysis showed that the proportion of sensitive species, intermediate species, and tolerant species were 33.4%, 29.3%, and 37.3%, respectively and omnivores and insectivores were 48.1 % and 38.4%, respectively. Analysis of site-base study indicated that tolerant species and omnivore species were high in some polluted tributary streams (i.e., Gap and Miho stream) and sensitive and insectivore species were low. In the functional relations, expressed as simple linear regression equations, of stream order on fish metric attributes, showed that the number of species and the number of individuals increased as the stream order increases. This phenomenon was explained by greater availability of stable water volume, rich food, and higher physical habitat capacity. Such guild compositions and stream order characteristics of the river influenced the community structures, based on species diversity, dominance and evenness index in the study. This study may be used as important data in the future for comparisons of fish fauna and compositions before and after two weir (dam) constructions in the middle of Geum River by the government.

• Journal of Plant Biotechnology
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• v.37 no.4
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• pp.483-493
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• 2010

Knock-out of a gene by insertional mutagenesis is a direct way to address its function through the mutant phenotype. Among ca. 15,000 gene-trapped Ds insertion lines of rice, we identified one line from selected sensitive lines in highly salt stress. We conducted gene tagging by TAIL-PCR, and DNA gel blot analysis from salt sensitive mutant. A gene encoding an oligopeptide transporter (OPT family) homologue was disrupted by the insertion of a Ds transposon into the OsOPT10 gene that was located shot arm of chromosome 8. The OsOPT10 gene (NP_001062118.) has 6 exons and encodes a protein (752 aa) containing the OPT family domain. RT-PCR analysis showed that the expression of OsOPT10 gene was rapidly and strongly induced by stresses such as high-salinity (250 mM), osmotic, drought, $100\;{\mu}M$ ABA. The subcellular localization assay indicated that OsOPT10 was localized specifically in the plasma membrane. Overexpression of OsOPT10 in Arabidopsis thaliana and rice conferred tolerance of transgenic plants to salt stress. Further we found expression levels of some stress related genes were inhibited in OsOPT10 transgenic plants. These results suggested that OsOPT10 might play crucial but differential roles in plant responses to various abiotic stresses.

• Journal of KIISE
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• v.42 no.7
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• pp.919-928
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• 2015

In recent years, many research efforts have been made on privacy-preserving data mining (PPDM) in data of large volume. In this paper, we propose a PPDM solution based on principal component analysis (PCA), which can be widely used in computing correlation among sensitive data sets. The general method of computing PCA is to collect all the data spread in multiple nodes into a single node before starting the PCA computation; however, this approach discloses sensitive data of individual nodes, involves a large amount of computation, and incurs large communication overheads. To solve the problem, in this paper, we present an efficient method that securely computes PCA without the need to collect all the data. The proposed method shares only limited information among individual nodes, but obtains the same result as that of the original PCA. In addition, we present a dimensionality reduction technique for the proposed method and use it to improve the performance of secure similar document detection. Finally, through various experiments, we show that the proposed method effectively and efficiently works in a large amount of multi-dimensional data.