• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4694-4702
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• 2012

The purpose of this study was a descriptive research that identified the levels of health-promoting behaviors, previous related behavior, perceived benefits/barriers, self-efficacy, and social support. In addition, it was to establish the relations among the variables, and determine the factors affecting the health-promoting behaviors. Study participants were 311 middle aged between 55-64 in urban areas, and the data were collected through self-reported structured questionnair. According to the results, the mean score for the levels of health-promoting behaviors of the late middle aged was 2.64. Also, among the variables related to health-promoting behaviors, perceived benefits were the highest score (30.7), and perceived barriers were the lowest one (2.08). Meaningful positive correlations were found among health-promoting behaviors and previous related behavior, social support, perceived benefits, and self-efficacy, but perceived barriers showed weakly negative correlations. In addition, the factors affecting health promoting behaviors were revealed in order as following: Previous health related behavior(${\beta}$=.35, p<.001), perceived benefits(${\beta}$=.32, p<.001), social support(${\beta}$=.28, p<.001), and life satisfaction(${\beta}$=.13, p<.001), and this model's explanatory power was 68.8%(F=166.71, p<.001). Based on the findings from the study, in order for the late middle aged to have a well-being old age, an health promoting education program including exercises and stress management should be provided to maintain and improve proper health promoting behaviors. The network with the same age groups also should be supported to share useful information and back up one another.

• Journal of Korean Society for Atmospheric Environment
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• v.28 no.5
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• pp.571-580
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• 2012

Epidemiologic studies of air pollution need accurate exposure assessments at unmonitored locations. A land use regression (LUR) model has been used successfully for predicting traffic-related pollutants, although its application has been limited to Europe, North America, and a few Asian region. Therefore, we modeled traffic-related pollutants by LUR then examined whether LUR models could be constructed using a regulatory monitoring network in Metropolitan area in Korea. We used the annual-mean nitrogen dioxide ($NO_2$) in 2010 in the study area. Geographic variables that are considered to predict traffic-related pollutants were classified into four groups: road type, traffic intensity, land use, and elevation. Using geographical variables, we then constructed a model to predict the monitored levels of $NO_2$. The mean concentration of $NO_2$ was 30.71 ppb (standard deviation of 5.95) respectively. The final regression model for the $NO_2$ concentration included five independent variables. The LUR models resulted in $R^2$ of 0.59. The mean concentration of $NO_2$ of elementary schools was 34.04 ppb (standard deviation of 5.22) respectively. The present study showed that even if we used regulatory monitoring air quality data, we could estimate $NO_2$ moderately well. These analyses confirm the validity of land use regression modeling to assign exposures in epidemiological studies, and these models may be useful tools for assessing health effects of long-term exposure to traffic related pollution.

• IMMUNE NETWORK
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• v.11 no.5
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• pp.258-267
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• 2011

Background: Current management strategies attempt to diagnose rheumatoid arthritis (RA) at an early stage. Transcription profiling is applied in the search for biomarkers for detecting early-stage disease. Even though gene profiling has been reported using several animal models of RA, most studies were performed after the development of active arthritis, and conducted only on the peripheral blood and joint. Therefore, we investigated gene expression during the initial phase of collagen-induced arthritis (CIA) before the arthritic features developed in the thymus in addition to the peripheral blood and synovium. Methods: For gene expression analysis using cDNA microarray technology, samples of thymus, blood, and synovium were collected from CIA, rats immunized only with type II collagen (Cll), rats immunized only with adjuvant, and unimmunized rats on days 4 and 9 after the first immunization. Arrays were scanned with an Illumina bead array. Results: Of the 21,910 genes in the array, 1,243 genes were differentially expressed at least 2-fold change in various organs of CIA compared to controls. Among the 1,243 genes, 8 encode T-cell receptors (TCRs), including CD3${\zeta}$, CD3${\delta}$, CD3${\varepsilon}$, CD8${\alpha}$, and CD8${\beta}$ genes, which were down-regulated in CIA. The synovium was the organ in which the genes were differentially expressed between CIA and control group, and no difference were found in the thymus and blood. Further, we determined that the differential expression was affected by adjuvant more than Cll. The differential expression of genes as revealed by real-time RT-PCR, was in agreement with the microarray data. Conclusion: This study provides evidence that the genes encoding TCRs including CD3${\zeta}$, CD3${\delta}$, CD3${\varepsilon}$, CD8${\alpha}$, and CD8${\beta}$ genes were down-regulated during the initial phase of CIA in the synovium of CIA. In addition, adjuvant played a greater role in the down-regulation of the CD3 complex compared to CII. Therefore, the down-regulation of TCR gene expression occurred dominantly by adjuvant could be involved in the pathogenesis of the early stage at CIA.

• Journal of Distribution Science
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• v.12 no.4
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• pp.65-72
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• 2014

Purpose - Because of the emphasis on the necessity of academic-industrial cooperation between companies and universities, there are various ongoing academic-industrial cooperation programs led by the government. As government actively supports such cooperation as policy,and universities vitalize new technology development, academic-industrial cooperation between companies and universities is being recognized as an important growth engine for companies the competitiveness of academic-industrial cooperation is also attracting more interest. The government has vitalized human resource fostering, practical R&D, and technology transfer to companies since 2012 by executing a "leading university fostering project for academic-industrial cooperation." Based on an organic interlink among universities, industry, and research institutes, the government also created and is promoting several models of such cooperation between companies and universities to support shared growth of industry and local universities. The purpose of academic-industrial cooperation is growth and benefit fromtechnology development, technical cooperation, and technology transfer between companies and universities. Research design, data, and methodology - As more academic-industrial cooperation efforts are ledby companies due to the limitation in technology-focused commercialization cooperation, the academic-industrial cooperation system became fragmented and it is losing the potential for future advancement. Specifically, as differences between universities grow, academic-industrial cooperation between companies and universities based on new technology from universities is finding difficulty advancing,while systematic support from companies to enhance the performance of businesses created by academic-industrial cooperation is also insufficient. Accordingly, this study established a growth model for the advancement of academic-industrial cooperation between companies and universities and suggested a plan to strengthen the competitiveness and promote the future advancementof academic-industrial cooperation between companies and universities by analyzing the current situation of such cooperation and diagnosing its issues. Results - This study explored the concept and current status of academic-industrial cooperation relationships and analyzed related issues. For such cooperative organizations to be competitive, the employment environment of professional human resources for academic-industrial cooperation should be improved and measures to secure professional resources should be taken as early as possible. Though the academic-industrial cooperation now is being led by government, there is a limitation based on business models, which require creation of profit; however, an academic-industrial cooperation model still cannot stand alone without the support of government. This study also pointed out that a having only a plan to build competitiveness of companies and universities for academic-industrial cooperation is not sufficient. Conclusions - In order to increase the competitiveness of academic-industrial cooperation, a detailed growth-sharing model for academic-industrial cooperation should be developed, and there should be more joint development processes for the advancement of such cooperation in which the need for technology development can be verified in advance. In addition, beyond focusing on technology-focused academic-industrial cooperation, a network between companies and universities searching for ideas for academic-industrial cooperation in the fields of human and social aspects should be created. A new academic-industrial model linking current cooperation between companies and universities to the local area should be built based on such academic-industrial cooperation in human and social fields.

• Korean Journal of Construction Engineering and Management
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• v.21 no.6
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• pp.113-124
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• 2020

Social movements to improve the performance of buildings through remodeling of aging apartment houses are being captured. To this end, the remodeling construction cost analysis, structural analysis, and political institutional review have been conducted to suggest ways to activate the remodeling. However, although the method of analyzing construction cost for remodeling apartment houses is currently being proposed for research purposes, there are limitations in practical application possibilities. Specifically, In order to be used practically, it is applicable to cases that have already been completed or in progress, but cases that will occur in the future are also used for construction cost analysis, so the sustainability of the analysis method is lacking. For the purpose of this, we would like to suggest an automated estimating method. For the sustainability of construction cost estimates, Deep-Learning was introduced in the estimating procedure. Specifically, a method for automatically finding the relationship between design elements, work types, and cost increase factors that can occur in apartment remodeling was presented. In addition, Monte Carlo Simulation was included in the estimation procedure to compensate for the lack of uncertainty, which is the inherent limitation of the Deep Learning-based estimation. In order to present higher accuracy as cases are accumulated, a method of calculating higher accuracy by comparing the estimate result with the existing accumulated data was also suggested. In order to validate the sustainability of the automated estimates proposed in this study, 13 cases of learning procedures and an additional 2 cases of cumulative procedures were performed. As a result, a new construction cost estimating procedure was automatically presented that reflects the characteristics of the two additional projects. In this study, the method of estimate estimate was used using 15 cases, If the cases are accumulated and reflected, the effect of this study is expected to increase.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.1
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• pp.118-129
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• 2011

This Study has developed the information system of the rivers based on 3D image GIS by converging the latest information technology of GIS(Geographic Information System), RS(Remote Sensing), GNSS(Global Navigation Satellite System), aerial laser survey(LiDAR) with real time network technology in order to understand the current situation of all the four major rivers and support the administrative management system. The said information system acquires the high resolution aerial photographs of 25cm, aerial laser survey and water depth surveying data to express precise space information on the whole Youngsan River which is the leading project site out of the four river sites. Monitoring the site is made available on the transporting means such as a helicopter, boat or a bus in connection with locational coordinate tracking skill for the moving objects in real time using GNSS. It makes monitoring all the information on the four river job sites available at a glance, which can obtain the reliability of the people to such vast areas along with enhancing the recognition of the people by publicity of four Rivers Revitalizing Project and reports thereof.

• IMMUNE NETWORK
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• v.2 no.3
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• pp.175-181
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• 2002

Background: S100A6 is a calcium-binding protein overexpressed in several tumor cell lines including melanoma with high metastatic activity and involved in various cellular processes such as cell division and differentiation. To detect S100A6 protein in patient' samples (ex, blood or tissue), it is essential to produce a monoclonal antibody specific to the protein. Methods: First, cDNA coding for ORF region of human S100A6 gene was amplified and cloned into the expression vector for GST fusion protein. We have produced recombinant S100A6 protein and subsequently, monoclonal antibodies to the protein. The specificity of anti-S100A6 monoclonal antibody was confirmed using recombinant S100A recombinant proteins of other S100A family (GST-S100A1, GST-S100A2 and GST-S100A4) and the cell lysates of several human cell lines. Also, to identify the specific recognition site of the monoclonal antibody, we have performed the immunoblot analysis with serially deleted S100A6 recombinant proteins. Results: GST-S100A6 recombinant protein was induced and purified. And then S100A6 protein excluding GST protein was obtained and monoclonal antibody to the protein was produced. Monoclonal antibody (K02C12-1; patent number, 330311) has no cross-reaction to several other S100 family proteins. It appears that anti-S100A6 monoclonal antibody reacts with the region containing the amino acid sequence from 46 to 61 of S100A6 protein. Conclusion: These data suggest that anti-S100A6 monoclonal antibody produced can be very useful in development of diagnostic system for S100A6 protein.

• IMMUNE NETWORK
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• v.1 no.2
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• pp.170-178
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• 2001

Background: Korean mistletoe (Viscum album) extract has been found to posses immunostimulatory activity. In this study, Korean mistletoe extract, M11C (non-lectin components), was used to know whether this extract might activate mouse peritoneal macrophages to produce interleukin $1{\beta}$ (IL-$1{\beta}$). Methods: Hemagglutination assay was carried out to examine whether M11C contained a lectin or not. To know the effect of M11C on the production of IL-$1{\beta}$, the macrophages were treated by the M11C, and then collected the supernatant (M11C stimulated macrophages-conditioned media; MMCM). MMCM was analyzed for the IL-$1{\beta}$ quantification and mRNA expression by means of ELISA and RT-PCR, respectively. Results: Maximum effective dose and time of M11C on IL-$1{\beta}$ production from macrophages were $20{\mu}g/m{\ell}$ and 8 hours, respectively. This ELISA data was reconfirmed by immunoblotting assay. indicating that M11C is a good candidate for an immunomodulator. The dose and time dependent effects of M11C on the expression of IL-$1{\beta}$ mRNA from macrophages was also shown in expression of mRNA detected by RT-PCR. Treatment dose and time for the maximum expression of IL-$1{\beta}$ mRNA were $20{\mu}g/m{\ell}$ and 4 hours, respectively. Maximum gene expression of IL-$1{\beta}$ was much earlier than maximum production of it. Conclusion: As results, Korean mistletoe extract, M11C, may be used for an immunomodulator. This will be able to make up for and solve the problems caused by existent immunoagent with many adverse effects through many other studies in future including one molecule extraction.

• IMMUNE NETWORK
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• v.1 no.2
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• pp.135-142
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• 2001

Background: A large number of diseases occur in association with specific HLA-B or-C alleles. Recently a new gene, termed maj or histocompatibility complex class I chain-related gene A (MICA), has been identified in close proximity to HLA-B. The function of this gene is still unknown. However, it is structurally similar to HLA class I genes. MICA gene is polymorphic and is potentially associated with several diseases. Methods: To evaluate the association of MICA gene in Korean patients with human immunodeficiency virus 1 (HIV-1) infections, Polymerase chain reaction-Sequence specific primer (PCR-SSP) was done for MICA alleles in the extracellular exons, and a microsatellite analysis for GCT repeat polymorphisms in the TM exon was also completed. Results: In 199 Korean healthy controls, 7 alleles were observed and the frequencies for each allele were MICA008 (44.7%), MICA0 10 (34.2%), MICA002 (31.7%), MICA004 (23.6%), MICA0 12 (2 1.6%), MICA009 (19.6%), and MICA007 (6.5%). When 65 HIV seropositive patients were analyzed, MICA007 allele frequency was significantly higher than in controls (15.4% vs 6.5 %, RR=2.6, p<0.04). In contrast, the frequencies of other MICA alleles and microsatellite alleles in the transmembrane region of MICA gene were not significantly different between HIV seropositive patients and controls. The tight linkage between MICA alleles in the extracellular exons and GCT repeat polymorphisms in the TM exon was observed as follows; MICA002/A9, MICA004/A6, MICA007/A4, MICA008/A5.1, MICA0 10/A5, and MICA0 12/A4 in both groups. No significant difference between patients and controls was observed in the haplotype frequencies of MICA alleles in the extracellular exons and GCT repeat polymorphisms in the TM exon. Conclusion: The data suggest that immune functions related with MICA gene may affect a HIV infections.

• IMMUNE NETWORK
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• v.2 no.2
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• pp.96-101
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• 2002

Background: Aerobic training can be defined as any physical exercise that increases the heart rate and enhances the body's intake of oxygen long enough to benefit the condition of body. Running, cycling, and swimming are examples of aerobic activities. This type of exercise optimises immune functions. Recently several experimental findings suggested that the regular swimming training increase immune response, but there have been very few reports which compare warm water exercise with cold water exercise in spleen lymphocytes. Methods: This study was designed to examine the effects of regular swimming training on Index, the number of lymphocytes, proliferative activity and production of reactive oxygen species (ROS) by splenocytes in BALB/c mice. Thirty six mice (6 week old) were performed 10 weeks of regular swimming training and they were divided into 6 groups according to the regular swimming training (CRG: control resting group, CEG: control exercise group, WRG: warm water trained resting group, WEG: warm water trained exercise group, CORG: cold water trained resting group, COEG: cold water exercise group). Analytical items were weight change, spleen index, the number of lymphocytes, proliferative activity and production of ROS. All data were expressed as mean and standard deviation by using SPSS package program (ver. 10.0). Results: The swimming training significantly decreased body weight, and increased spleen index, the number of lymphocytes and proliferative activity in the presence or absence of Con A and LPS added conditions. For the WRG and CORG, the quantity of ROS from splenocytes was higher than CRG, whereas, ROS by spleen lymphocytes was lower following 90 min acute exercise stress. Conclusion: These results suggested that the swimming training not only increases the number of lymphocytes but also increases proliferative activity by splenocytes in vitro.