• Membrane Journal
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• v.32 no.5
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• pp.348-356
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• 2022

With the development of the bio industry, membrane chromatography with a high adsorption efficiency is emerging to replace the existing column chromatography used in the downstream processes of pharmaceuticals, food, etc. In this study, through the deacetylation reaction of two commercial cellulose acetate (CA) membranes with different pore sizes, the porous regenerated cellulose (RC) supports for membrane chromatography were obtained to attach the anion exchange ligands. The adsorptive membranes for anion exchange were prepared by attaching an anion exchange ligand ([3-(methacryloylamino) propyl] trimethylammonium chloride) containing quaternary ammonium groups on the RC supports by grafting and UV polymerization. The protein adsorption capacities of the prepared membranes were obtained through both the static binding capacity (SBC) and the dynamic adsorption capacity (DBC) measurement. As a result, the membrane chromatography with the smaller the pore size, the larger the surface area showed the highest protein adsorption capacity. Membrane chromatography which was prepared by using deacetylated commercial CA support with MAPTAC ligand (i.e., RC 0.8 + MAPTAC: 43.69 mg/ml, RC 3.0 + MAPTAC: 36.33 mg/ml) showed a higher adsorption capacity compared to commercial membrane chromatography (28.38 mg/ml).

• Genomics & Informatics
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• v.15 no.4
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• pp.114-122
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• 2017

It is becoming increasingly clear that eukaryotic genomes are subjected to higher-order chromatin organization by the CCCTC-binding factor/cohesin complex. Their dynamic interactions in three dimensions within the nucleus regulate gene transcription by changing the chromatin architecture. Such spatial genomic organization is functionally important for the spatial disposition of chromosomes to control cell fate during development and differentiation. Thus, the dysregulation of proper long-range chromatin interactions may influence the development of tumorigenesis and cancer progression.

• 대한핵의학회:학술대회논문집
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• 1998.11a
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• pp.36.1-36.1
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• 1998

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.148-151
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• 2010

유비쿼터스 환경은 디바이스의 상태 및 위치가 자주 변하는 특성을 가진다. 이러한 특성은 사용자가 사용하고 있는 서비스의 오퍼레이션 상태에도 영향을 주게 된다. 즉, 사용하고 있던 서비스 오퍼레이션이 갑자기 물리적 위치가 변경되어 재연결을 요구한다거나, 사용할 수가 없어 다른 오퍼레이션으로 대체해야 하는 경우가 발생할 수 있다. 이 때, 사용자에게 사용하던 오퍼레이션과 같은 기능을 하는 서비스를 발견해 줄 수 있어야 하며, 끊김 없는 서비스를 제공하기 위해 동적 바인딩이 제공되어야 한다.

• BMB Reports
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• v.52 no.3
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• pp.175-180
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• 2019

Telomeres are nucleoprotein complexes at the physical ends of linear eukaryotic chromosomes. They protect the chromosome ends from various external attacks to avoid the loss of genetic information. Telomeres are maintained by cellular activities associated with telomerase and telomere-binding proteins. In addition, epigenetic regulators have pivotal roles in controlling the chromatin state at telomeres and subtelomeric regions, contributing to the maintenance of chromosomal homeostasis in yeast, animals, and plants. Here, we review the recent findings on chromatin modifications possibly associated with the dynamic states of telomeres in Arabidopsis thaliana.

• Structural Engineering and Mechanics
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• v.8 no.5
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• pp.491-504
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• 1999

The initiation of toppling is explored for a uniform stack of blocks that rotates slowly about its mid-base. As the stack passes through its vertical position ($\theta$=0), it is in free-fall rotation, and a critical inclination angle ${\theta}_c$ is reached at which the toppling stack "fails" or begins to crack or separate. For tall stacks (high aspect ratios), two modes of failure are hypothesized, for which the dynamic failure analyses are shown to correlate with experimental results. These block failure modes are similar to those observed for tall, toppling masonry structures with weak binding material between their brick or stone blocks.

• International Journal of Naval Architecture and Ocean Engineering
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• v.13 no.1
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• pp.367-378
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• 2021

This paper develops a dynamic regression model to quantify the contribution of key external factors to operational energy efficiency of ships. On this basis, kernel density estimation is applied to explore distribution patterns of fluctuations in operational performance. An empirical analysis based on these methods show that distribution of fluctuations in Energy Efficiency Operational Indicator (EEOI) is leptokurtic and fat tailed, rather than a normal one. Around 85% of fluctuations in EEOI can be jointly explained by capacity utilization and sailing speed, while the rest depend on other external factors largely beyond control. The variations in capacity utilization and sailing speed cannot be fully passed on to the energy efficiency performance of ships, due to complex interactions between various external factors. The application of the methods is demonstrated, showing a potential approach to develop a rating mechanism for use in the legally binding framework on operational energy efficiency of ships.

• Journal of KIISE:Information Networking
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• v.30 no.3
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• pp.293-306
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• 2003

In recent years, distributed computing environments have been radically changing to a structure of global, heterogeneous, federative and wide-area systems. This structure's environments consist of a let of objects which are implemented on telecommunication network to provide a wide range of services. Furthermore, all of objects existing on the earth have the duplicated characteristics according to how to categorize their own names or properties. But, the existing naming or trading mechanism has not supported the binding services of duplicated objects, because of deficiency of independent location service. Also, if the duplicated objects which is existing on different nodes provide the same service, it is possible to distribute the client requests considering each system's load. For this reason, we designed and implemented a new model that can not only support the location management of replication objects, but also provide the dynamic binding service of objects located in a system with minimum overload for maintaining load balancing among nodes in wide-area object computing environments. Our model is functionally divided into two parts; one part is to obtain an unique object handle of replicated objects with same property as a naming and trading service, and the other is to search one or more contact addresses by a location service using a given object handle. From a given model mentioned above, we present the procedures for the integrated binding mechanism in design phase, that is, Naming/Trading Service and Location Service. And then, we described in details the architecture of components for Integrated Binding Service implemented. Finally, we showed our implement environment and executing result of our model.

• Journal of KIISE:Software and Applications
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• v.35 no.2
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• pp.91-104
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• 2008

Service-Oriented Computing (SOC) is the development method that published services are selected and composed at runtime to deliver the expected functionality to service clients. SOC should get maximum benefits not only supporting business agility but also reducing the development time. Services are selected and composed at runtime to improve the benefits. However, current programming language, SOC platforms, business process modeling language, and tools support either manual selection or static binding of published services. There is a limitation on reconfiguring and redeploying the business process to deliver the expected services to each client. Therefore, dynamic selection is needed for composing appropriate services to service clients in a quick and flexible manner. In this paper, we propose Dynamic Selection Handler (DSH) on ESB. we present a design method of Dynamic Selection Handler which consists of four components; Invocation Listener, Service Selector, Service Binder and Interface Transformer. We apply appropriate design patterns for each component to maximize reusability of components. Finally, we describe a case study that shows the feasibility of DSH on ESB.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.2_2
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• pp.219-232
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• 2022

The aim of this study is to provide the dynamic convergence index that reflected the inherent characteristics of the convergence phenomenon and utilized the nationally-funded R&D projects data, thereby suggesting useful information about the direction of the national convergence R&D strategy. The dynamic convergence index that we suggested was made of two indicators: persistency and diversity. From a time-series perspective, the persistency index, which measures the degree of continuous convergence of multidisciplinary nationally-funded R&D projects, and the diversity index, which measures the degree of binding with heterogeneous research areas. We conducted the empirical experiment with 151,248 convergence R&D projects during the 2015~2021 time period. The results showed that convergence R&D projects in both public health and life sciences appeared the highest degree of persistency. It was presumed that the degree of persistency has increased again due to the COVID-19 pandemic. Meanwhile, the degree of diversity has risen with combining with disciplinary such as materials, chemical engineering, and brain science areas to solve social problems including mental health, depression, and aging. This study not only provides implications for improving the concept and definition of dynamic convergence in terms of persistency and diversity for national convergence R&D strategy but also presented dynamic convergence index and analysis methods that can be practically applied for directing public R&D programs.