• Biomolecules & Therapeutics
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• v.28 no.3
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• pp.267-271
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• 2020

Gut microbiota produce dietary metabolites such as short-chain fatty acids, which exhibit anti-inflammatory effects. Free fatty acid receptor 2 (FFA2, formerly known as GPR43) is a specific receptor for short-chain fatty acids, such as acetate that regulates inflammatory responses. However, the therapeutic potential of FFA2 agonists for treatment of atopic dermatitis has not been investigated. We investigated the efficacy of the FFA2 agonist, 4-chloro-α-(1-methylethyl)-N-2-thiazoylylbenzeneacetanilide (4-CMTB), for treatment of atopic dermatitis induced by 2,4-dinitrochlorobenzene (DNCB). Long-term application of DNCB to the ears of mice resulted in significantly increased IgE in the serum, and induced atopic dermatitis-like skin lesions, characterized by mast cell accumulation and skin tissue hypertrophy. Treatment with 4-CMTB (10 mg/kg, i.p.) significantly suppressed DNCB-induced changes in IgE levels, ear skin hypertrophy, and mast cell accumulation. Treatment with 4-CMTB reduced DNCB-induced increases in Th2 cytokine (IL-4 and IL-13) levels in the ears, but did not alter Th1 or Th17 cytokine (IFN-γ and IL-17) levels. Furthermore, 4-CMTB blocked DNCB-induced lymph node enlargement. In conclusion, activation of FFA2 ameliorated DNCB-induced atopic dermatitis, which suggested that FFA2 is a therapeutic target for atopic dermatitis.

• Journal of The Korean Society of Agricultural Engineers
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• v.66 no.4
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• pp.51-57
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• 2024

This study was conducted on how to simulate runoff, which was done using existing physical models, using an LSTM (Long Short-Term Memory) model based on deep learning. Tancheon, the first tributary of the Han River, was selected as the target area for the model application. To apply the model, one water level observatory and four rainfall observatories were selected, and hourly data from 2020 to 2023 were collected to apply the model. River water level of the outlet of the Tancheon basin was simulated by inputting precipitation data from four rainfall observation stations in the basin and average preceding 72-hour precipitation data for each hour. As a result of water level simulation using 2021 to 2023 data for learning and testing with 2020 data, it was confirmed that reliable simulation results were produced through appropriate learning steps, reaching a certain mean absolute error in a short period time. Despite the short data period, it was found that the mean absolute percentage error was 0.5544~0.6226%, showing an accuracy of over 99.4%. As a result of comparing the simulated and observed values of the rapidly changing river water level during a specific heavy rain period, the coefficient of determination was found to be 0.9754 and 0.9884. It was determined that the performance of LSTM, which aims to simulate river water levels, could be improved by including preceding precipitation in the input data and using precipitation data from various rainfall observation stations within the basin.

• 한국신재생에너지학회:학술대회논문집
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• 2005.06a
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• pp.403-407
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• 2005

Objective of the research is to demonstrate solar thermal space and ground heating system which is integrated to a greenhouse culture facility for reducing heating cost, increasing the value of product by environment control, and developing advanced culture technology by deploying solar thermal system. Field test for the demonstration was carried out in horticulture complex in Jeju Island. Medium scale solar hot water system was installed in a ground heating culture facility. Reliability and economic aspect of the system which was operated complementary with thermal storage and solar hot water generation were analyzed by investigating collector efficiency, operation performance, and control features. Short term day test on element performance and Long term test of the whole system were carried out. Optimum operating condition and its characteristics were closely investigated by changing the control condition based on the temperature difference which is the most important operating parameter. For establishing more reliable and optimal design data regarding system scale and operation condition, continuous operation and monitoring on the system need to be further carried out. However, it is expected that, in high-insolation areas where large-scale ground storage is adaptable, solar system demonstrated in the research could be economically competitive and promisingly disseminate over various application areas.

• New & Renewable Energy
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• v.1 no.2 s.2
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• pp.53-59
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• 2005

Objective of the research is to demonstrate solar thermal space and ground heating system which is integrated to a green-house culture facility for reducing healing cost, Increasing the value of product by environment control, and developing advanced culture technology by deploying solar thermal system. Field test for the demonstration was carried out in horticulture complex In Jeju Island. Medium scale solar hot water system was installed in a ground heating culture facility. Reliability and economic aspect of the system which was operated complementary with thermal storage and solar hot water generation were analyzed by investigating collector efficiency, operation performance, and control features. Short term day test on element performance and Long term test of the whole system were carried out. Optimum operating condition and its characteristics were closely Investigated by changing the control condition based on the temperature difference which Is the most important operating parameter For establishing more reliable and optimal design data regarding system scale and operation condition, continuous operation and monitoring on the system need to be further carried out. However, It is expected that, in high-insolation areas where large-scale ground storage is adaptable, solar system demonstrated in the research could be economically competitive and promisingly disseminate over various application areas.

• Journal of the Korean Society of Safety
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• v.27 no.5
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• pp.117-125
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• 2012

In recent years, polymer concrete based on polyester resin have been widely generalized and the research of polymer concrete have been actively pursued by the technical innovations. Polymer concrete is a composite consisting of aggregates and an organic resin binder that hardens by polymerization. Polymer concrete are stronger by a factor of three or more in compression, a factor of four to six in tension and flexural and a factor of two in impact when compared with portland cement concrete. In view of the growing use of polymer concrete, it is important to study the physical characteristics of the material, emphasizing the short term properties as well as long term mechanical behavior. If polymer concrete is to be used in flexural load-bearing application such as in beam, it is imperative to understand the deformation of the material under sustained loading conditions. This study is proposed to empirical and mechanical model of polymer concrete tension creep using long-term experimental results and mathematical development. The test results showed that proposed model has been used successfully to predict creep deformations at a stress level that was 20 percent of the ultimate strength and viscoelastic behavior of recycled-PET polymer concrete is linear of stress level up to 30 percent. It is expected that the present model allows more realistic evaluation of varying stresses in polymer concrete structures with a constant loading.

• Korean Journal of Health Education and Promotion
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• v.28 no.3
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• pp.43-55
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• 2011

Objectives: The objectives of this study were to describe population-based prevention strategies for childhood obesity and to discuss its application in a city in Korea. Methods: Literature review and empirical findings for ongoing programs were performed to develop population-based prevention strategies for childhood obesity with the framework and principles of WHO population-based prevention strategies for childhood obesity. Results: The developed framework had five key strategies (supportive policies, supportive environment, supportive program, strategic development & leadership, and monitoring & evaluation) under hierarchic objectives (long-term, middle-term and short-term) with the vision of healthy growth and development of all children and youth. Each strategy included evidence-based action plans with WHO principles. Conclusions: The developed strategies have advanced the existing strategies for childhood obesity prevention by providing the sustainable and systematic framework and action plans based on ecological approach. Further, the feasibility for operating the strategies needs to be verified.

• Korean Journal of Computational Design and Engineering
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• v.14 no.6
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• pp.424-433
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• 2009

In order to improve productivity and efficiency of ship production process, production technology converged with Information Technology can be considered. Mid-term scheduling based on long-term schedule of ship building and execution planning based on short-term production schedule have an important role in ship production processes and techniques. However, data used in the scheduling are from the experiences of the past, cognitive, and often inaccurate, moreover the updates of the data by formatted documents are not being performed efficiently. This paper designs the tracking and monitoring system for the curved plates forming process with shop level. At first step to it, we redefine and analyze the curved plates forming process by using SysML. From the definition and analysis of the curved plates forming process, we design the system with respect to operational view considering operational environment and interactions between systems included and scenario about operation, and with respect to system view considering functionalities and interfaces of the system. In order to study the feasibility of the system designed, a prototype of the system has been implemented with 13.56 MHz RHD hardware and application software.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.265-275
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• 2021

This study's motivation is to investigate the association between the stock market, remittance, and the pandemic of COVID-19 for the period from March 3, 2020, to December 14, 2020. For evaluating the impact of COVID-19 and remittances on stock market behaviour during the pandemic, the study applies Autoregressive Distributed lagged (ARDL) for magnitudes estimation and directional association through the Toda-Yamamoto causality test. Study findings from ARDL estimation revealed that COVID-19 measured by detecting new cases negatively influences the stock market both in the long-term and short-term. Remittance positively influences the stock market behaviour, particularly in the long-term. Furthermore, the directional causality test disclosed unidirectional causal effects between COVID-19 and the stock market behaviour, which establishes all proxy measures for the equation's stock market. The hypothesis results explain the causal relationship between remittance inflows and the stock market in Bangladesh. The study's application will help policymakers rethink the policies for channelizing remittances for productive investment areas. Furthermore, the study's findings will reinstate the widely perceived notions, which is the critical role of remittance in the economy even though the economy passes through a great pandemic.

• Proceedings of the Korea Concrete Institute Conference
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• 1997.10a
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• pp.183-188
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• 1997

From a viewpoint of construction cost and preserving management of pavement, a policy of domestic pavement was gradually spreaded concrete pavement rather than asphalt. But the use of concrete with ordinary portland cement has shortages, such as dry-shrinkage, low flexural strength, etc. In order to overcome these problems, the concrete pavement using CSA expansive additive (Non-Shrinkage Cement) was studied and carried out the fie이 application. As the results, we find out Non-Shrinkage Cement that was distinguished in short-term construction by increasing flexural strength, shrinkage compensating and low-heat evaluation compared with OPC concrete.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1996.10a
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• pp.253-256
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• 1996

Rainfall is one of the major and complicated elements of hydrologic system. Accurate prediction of rainfall is very important to mitigate storm damage. The neural network is a good model to be applied for the classification problem, large combinatorial optimization and nonlinear mapping. In this dissertation, rainfall predictions by the neural network theory were presented. A multi-layer neural network was constructed. The network learned continuous-valued input and output data. The network was used to predict rainfall. The online, multivariate, short term rainfall prediction is possible by means of the developed model. A multidimensional rainfall generation model is applied to Seoul metropolitan area in order to generate the 10-minute rainfall. Application of neural network to the generated rainfall shows good prediction. Also application of neural network to 1-hour real data in Seoul metropolitan area shows slightly good predictions.