• BMB Reports
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• v.53 no.8
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• pp.400-412
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• 2020

The world has witnessed unimaginable damage from the coronavirus disease-19 (COVID-19) pandemic. Because the pandemic is growing rapidly, it is important to consider diverse treatment options to effectively treat people worldwide. Since the immune system is at the hub of the infection, it is essential to regulate the dynamic balance in order to prevent the overexaggerated immune responses that subsequently result in multiorgan damage. The use of stem cells as treatment options has gained tremendous momentum in the past decade. The revolutionary measures in science have brought to the world mesenchymal stem cells (MSCs) and MSC-derived exosomes (MSC-Exo) as therapeutic opportunities for various diseases. The MSCs and MSC-Exos have immunomodulatory functions; they can be used as therapy to strike a balance in the immune cells of patients with COVID-19. In this review, we discuss the basics of the cytokine storm in COVID-19, MSCs, and MSC-derived exosomes and the potential and stem-cell-based ongoing clinical trials for COVID-19.

• The Journal of Korean Physical Therapy
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• v.11 no.3
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• pp.71-79
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• 1999

본 연구의 목적은 균형 훈련이 중추신경계 손상자들의 자세 조절 및 중추감각신경전도로에 미치는 영향을 규명하는데 있다. 연구대상자는 중추신경계 손상자로써 실험군 10명, 통제군 10명 등 총 20명을 선정하였으며, 실험군은 본 연구의 훈련 프로그램에 따라 12주간 force platform을 이용하여 균형훈련을 실시토록하였다. 자세조절 변인의 측정은 운동처치 전, 처치 후 8주 및 12주 후에 대상자들의 동적 및 정적 자세에서의 흔들림을 Dynamic Balance System을 이용하여 측정하였고, 체성감각 유발전위의 말초신경 근위부 유발전위$(N_9)$ 잠복기, 척수 유발전위$(N_{13})$ 잠복기, 뇌 유발전위 $(N_{20})$ 잠복기는 Neurotec을 이용하여 측정 분석한 결과 다음과 같은 결론을 얻었다. 1. 정적 자세 조절 요인의 경우, 좌우 흔들림과 전후 흔들림은 실험군에서 8주 후부터 유의하게 (p<.05) 감소하였고, 실험군이 통제군에 비해 운동처치 8주 및 12주 후에 각각 유의하게(P<.05, P<.01) 흔들림이 감소하였다. 2. 전후 이동면과 전후 기울기면에서 동적 자세 조절의 변화는 전후 이동면에서 좌우 흔들림과 전후 흔들림은 실험군에서 8주 후부터 유의하게 (P<.05) 감소하였으며, 실험군이 통제군에 비해 운동처치 8주 및 12주 후에 각각 유의하게 (P<.05, p<.01) 흔들림이 감소하였다. 3. 체성감각 유발전위의 잠복기 변화는 실험군과 통제군에 있어서 말초신경 근위부 유발전위$(N_9)$ 잠복기와 척수 유발전위$(N_{13})$ 잠복기가 다소 증가하였으나 유의한 차이는 나타나지 않았으며, 실험군에 있어서 뇌 유발전위 $(N_{20})$ 잠복기는 8주 후부터 유의하게 (P<.05) 증가하였다. 이상의 결과를 종합해 볼 때, 12주의 균형 훈련은 자세 조절에 있어서 전후와 좌우의 흔들림을 감소시킴으로써 정적인 상태나 동적인 상태에서의 자세 안정성을 증가시킬 수 있음을 시사하고 있다. 이는 자세 조절에 필요한 항중력근의 긴장성 수축을 유발시킬 뿐만 아니라 근육 긴장분포를 조절할 수 있다는 것으로 신경근 조절 기능의 향상을 의미하는 것으로 사료된다. 또한 뇌 유발전위 $(N_{20})$ 잠복기의 증가는 중추신경계의 감각기능의 신경학적 회복을 의미하는 것으로 중추신경계의 감각 운동통합에도 영향을 미쳐 운동기능의 향상을 기대할 수 이을 것으로 사료된다.

• Analyses & Alternatives
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• v.7 no.3
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• pp.1-26
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• 2023

This article will analyze and forecast important variables and dynamics in global power politics after the war in Ukraine. It tries to use several perspectives to analyze international relations, particularly liberal internationalism and structural realism. In short, core variables are as follows; First, how is the US-led liberal international order and globalization being adjusted? Second, how will the U.S.-China strategic competition, which is the biggest and structural variable, cause changes in the international order in the future? The third variable, how stable are Sino-Russia relations in the context of a structuring U.S.-China-Russia strategic new triangle? Fourth, to what extent will third middle hedging states outside the U.S. and China be able to exercise strategic autonomy in the face of multipolarization? To summarize, the first of these four variables is the largest basic variable at the global political and economic level in terms of its impact on the international community, and it has been led by the United States. The second variable, in terms of actors, seems to be the most influential structural variable in global competition, and the US-China strategic competition is likely to be a long game. Thus the world will not be able to escape the influence of the competition between the two global powers. For South Korea, this second variable is probably the biggest external variable and dilemma. The third variable, the stability of Sino-Russia relations, determines balance of global power in the 21st century. The U.S.-China-Russia strategic new triangle, as seen in the current war in Ukraine, will operate as the greatest power variable in not only global power competition but also changes in the international order. Just as the U.S. is eager for a Sino-Russia fragmentation strategy, such as a Tito-style wedge policy to manage balance of power in the early years of the Cold War, it needs a reverse Kissinger strategy to reset the U.S.-Russia relationship, in order to push for a Sino-Russia splitting in the 21st century. But with the war in Ukraine, it seems that this fragmentation strategy has already been broken. In the context of Northeast Asia, whether or not the stability of Sino-Russia relations depends not only on the United States, but also on the Korean Peninsula. Finally, the fourth variable is a dependent variable that emerged as a result of the interaction of the above three variables, but simultaneously it remains to be seen that this variable is likely to act as the most dynamic and independent variable that can promote multilateralism, multipolarization, and pan-regionalism of the global international community in the future. Taking into account these four variables together, we can make an outlook on the change in the international order.

• Journal of the Korean GEO-environmental Society
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• v.25 no.4
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• pp.13-20
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• 2024

In this paper, a parallel analysis algorithm for Smoothed Particle Hydrodynamics (SPH), one of the numerical methods for fluidic materials, is introduced. SPH, which is a meshless method, can represent the behavior of a continuum using a particle-based approach, but it demands substantial computational resources. Therefore, parallel analysis algorithms are essential for SPH simulations. The domain decomposition algorithm, which divides the computational domain into partitions to be independently analyzed, is the most representative method among parallel analysis algorithms. In Discrete Element Method (DEM) and Molecular Dynamics (MD), the Cartesian coordinate-based domain decomposition method is popularly used because it offers advantages in quickly and conveniently accessing particle positions. However, in SPH, it is important to share particle information among partitioned domains because SPH particles are defined based on information from nearby particles within the smoothing length. Additionally, maintaining CPU load balance is crucial. In this study, a highly parallel efficient algorithm is proposed to dynamically minimize the size of orthogonal domain partitions to prevent excess CPU utilization. The efficiency of the proposed method was validated through numerical analysis models. The parallel efficiency of the proposed method is evaluated for up to 30 CPUs for fluidic models, achieving 90% parallel efficiency for up to 28 physical cores.

• Journal of Internet Computing and Services
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• v.6 no.6
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• pp.71-83
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• 2005

In this paper, we developed the Distributed Programming Developing Tool(DPDT) which can make distributed application program efficiency based on the distributed object group framework supporting group management and dynamic binding for object resources requested from clients on distributed systems. The distributed object group framework we constructed provides not only the group register/withdraw, the access right and the name/property services for server objects from a point of view of group management services, but also dynamic binding, replicated object supporting, load balance, and federation among the object groups from a point of view of the supporting services of distributed application, When developing distributed application, by using our tool, server programming developer implements objects in each server system, next registers the properties to need for service provision to the object group. Client programming developer can also develop client program easily by obtaining the access right for the object or the object group and using the properties of objects with the access right permitted to the client. For providing above application developing environment in this paper. we described the definition of object group, the architecture of the distributed object group framework which our tool supports, and its functionalities, then specified the 3 GUI environments of DPDT implemented for providing efficient interfaces between the distributed object group and distributed applications. Finally, by using the DPDT, we showed the group register/withdraw and the access right grant procedure of objects which are server programs, the developing process of client program, and the executing results of the distributed application developed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.3
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• pp.38-51
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• 2020

A bottleneck and congestion occur when a freeway is closed due to maintenance and construction activities on the freeway. Although various traffic managements have been developed to improve the traffic efficiency at freeway work zones, such as merge control, there is a limit to those controls with human drivers. On the other hand, the wireless communication of connected and automated vehicles (CAVs) enables the operation of advanced traffic management. This study developed a traffic control strategy that integrates Dynamic Merge Control (DMC) and Lane Change Control (LCC) in a CAV environment. DMC operates as an either early or late merge based on the occupancy rate of upstream of the work zone. The LCC algorithm determines the number of vehicles that need to change their lane to balance the traffic volume on open lanes. The simulation results showed that integrated control improves the cumulative vehicle count, average speed upstream, and average network travel time.

• Korean Journal of Agricultural and Forest Meteorology
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• v.7 no.1
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• pp.107-114
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• 2005

Soil CO₂ emission is one of the primary components in carbon balance of terrestrial ecosystems. In soil CO₂ flux measurements, chamber method is currently the most common technique. Prior to compare or synthesize the data collected from different chamber methods, potential biases must be quantified for each measurement system. We have conducted an intercomparison experiment among four closed dynamic chamber systems and an automatic open-closed chamber system in a temperature-controlled phytotron. Due to the disturbed CO₂ concentrations inside the phytotron during the measurements with closed dynamic chambers and the changes in soil water content, the interpretation of the data was difficult to quantify the biases of individual methods. However, the experiment provided not only valuable information on the performance characteristics of the five instruments to varying soil temperature and CO₂ concentration but also useful insights for better designs and strategy for future intercomparison in a controlled environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.648-655
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• 2016

As the FTAs' implementations are accelerated, an Ex-post assessment, such as an analysis of the tariff schedule and agricultural trade has been emerging as an important national issue for an agricultural sector Korea-EU FTA, which was to be implemented in the five years from July 2016 as one of the giant FTA. The purpose of this study was to determine the demand of an ex-post assessment on agricultural sector as a trade negotiation procedural law. In addition, by providing policy direction for the agricultural policy part requiring amendments and supplements through ex-post assessment, the conflicting arguments between agricultural and non-agricultural sector can be evaluated more objectively. The current evaluation method on the economic impact ex-post assessment of a FTA is generally compared using the change in trade balance before and after the time of FTA implementation. On the other hand, this comparison cannot be said to be the pure FTA effects and objective, tightening economic impact assessment of the FTA in all combined situations, such as the effects of exchange rates and international macroeconomic changes and climate change & occurrence of pests. Over the last 4 years, however, Korea-EU FTA's total accumulated agricultural GDP loss was measured to be 2,178 billion by these research attempts with dynamic analysis as ex-post assessment methodology. The greatest impact was mainly livestock and pork followed by cereals and vegetables. In addition, this research is expected to contribute to policy evaluations in the future.

• Journal of Korean Society of Environmental Engineers
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• v.37 no.12
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• pp.689-695
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• 2015

A biofilm filtration for the removal of gaseous pollutants has been recognized as a process with a complex interaction between the gas flow characteristics and the process operating variables. This study aims to develop an one dimensional dynamic numerical model which can be utilized as a tool for the analysis of biofilm filtration process operated in plug flow mode. Since, in a plug flow system, minor environmental changes in a gaseous unit process cause a drastic change in reaction and the interaction between the pollutants is an influencing factor, plug flow system was generalized in developing the model. For facilitation of the model development, dispersion was simplified based on the principles of material balance. Several reactions such as competition, escalation, and control between the pollutants were included in the model. The applicability of the developed model was evaluated by taking the calibration and verification steps on the experimental data performed for the removal of BTX at both low and high flow concentration. The model demonstrated a correlation coefficient ($R^2$) greater than 0.79 under all the experimental conditions except for the case of toluene at high flow condition, which suggested that this model could be used for the generalized gaseous biofilm plug flow filtration system. In addition, this model could be a useful tool in analyzing the design parameters and evaluating process efficiency of the experiments with substantial amount of complexity and diversity.

• Journal of Korea Spatial Information System Society
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• v.8 no.1 s.16
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• pp.93-106
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• 2006

A Grid Database is a database management system to process effectively and use the distributed data in a grid computing environment. Spatial data is more important than other general data according to the local characteristics and requires a large storage. The grid database can be used as the optimal system for the management of the spatial data. However, contrary to the conventional distributed database systems, the Grid Database which guarantees the local autonomy has a possibility not to provide an effective system, or it is impossible to use a centralized management environment. In order to allow flexible responses to a dynamically changing environment, it is required to use effectively reorganized method. In this paper, hierarchical reorganization method is presented for dynamic reorganization in a grid database. When the reorganization is conducted, an organizer is created to collect the information of databases. In addition, the organizer which is constructed by the hierarchical structure supports information communication and reorganization, and then it allows the support of regional reorganization operation and effective balance control. The performance assessment of the proposed method shows that the processing capacity is increased after the reorganization.