• Bulletin of the Korean Chemical Society
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• 제30권8호
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• pp.1817-1820
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• 2009

Controlling cell-matrix interactions is critical in regulating cell phenotypes for tissue engineering applications. Cellular adhesion to synthetic extracellular matrices (ECMs) can be enhanced by introduction of adhesion ligands to the matrices. We tested the hypothesis that biophysical cues such as ligand organization in synthetic ECMs play an important role in modulating cell responses to the microenvironment. To investigate and monitor cell-matrix interactions, we used a fluorescence resonance energy transfer (FRET) technique with cell-interactive polymers generated by conjugating a peptide with the sequence of arginine-glycine-aspartic acid (RGD) to alginate hydrogels.

• 한국디지털건축인테리어학회논문집
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• 제10권2호
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• pp.39-47
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• 2010

In this study, there should be a debation on the methods, such as considerations on the CM organization of skyscraper project for the client's side, process and impact factors need to be taken, and suggesting the evaluation and selection criteria, which may lead strategic decision-making by the client. Owner of the CM organizational decision to establish a variety of alternatives, the range of CM performance characteristics of the project, considering the weight and also by evaluating the effectiveness of appropriate alternative is selected. Domestic skyscraper project, decisions about the CM organization for 'S Tower' prior to the proposed decision and the criteria was applied. As a result, domestic CM/PM companies and overseas CM/PM companies were doing business as J/V, Supervision of the integration work order types showed the highest performance levels. when they ordered CM services. The project cost reduced and organizational improvements, the results of applying alternative way, improve on-site construction plans, sharing key technologies, process improvement plan could benefit from such expectations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권9호
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• pp.3611-3634
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• 2015

In this paper, we build a theoretical framework for quantitatively measuring and graphically representing the degrees of closeness centralization among performers assigned to enact a workflow procedure. The degree of closeness centralization of a workflow-performer reflects how near the performer is to the other performers in enacting a corresponding workflow model designed for workflow-supported organizational operations. The proposed framework comprises three procedural phases and four functional transformations, such as discovery, analysis, and quantitation phases, which carry out ICN-to-WsoN, WsoN-to-SocioMatrix, SocioMatrix-to-DistanceMatrix, and DistanceMatrix-to-CCV transformations. We develop a series of algorithmic formalisms for the procedural phases and their transformative functionalities, and verify the proposed framework through an operational example. Finally, we expatiate on the functional expansion of the closeness centralization formulas so as for the theoretical framework to handle a group of workflow procedures (or a workflow package) with organization-wide workflow-performers.

• 한국유전체학회:학술대회논문집
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• 한국유전체학회 2006년도 The 15th Korean Genome Organization Conference KOGO 2006 Annual Meeting
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• pp.77-77
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• 2006

• International Journal of Contents
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• 제12권4호
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• pp.31-44
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• 2016

Knowledge creation and management are regarded as critical success factors for an organization's survival in the knowledge era. As a process of knowledge acquisition and sharing, organizational learning mechanisms (OLMs) guide the learning function of organizations represented by its different learning activities. We examined a variety of learning processes that constitute OLMs. In this study, we aimed to capture the process and framework of OLMs and knowledge sharing and acquisition. Factors facilitating OLMs were investigated at three levels: individual, group, and organizational. The concept of an OLM has received some attention in the field of organizational learning, however, the relationship among the factors generating OLMs has not been empirically tested. As part of the ongoing discussion, we attempted a systemic approach for OLMs. OLMs can be represented by factors that are inherent to the organization's system; therefore, prior to empirically testing the OLM generating factor(s), evaluation of its organizational integration is required to determine effective treatment of each factor. Thus, we developed a framework to manage knowledge and proposed a method to numerically evaluate factors influencing the OLMs. Specifically, composite importance (CI) of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was applied to explore the interaction effect of these factors based on systemic approach. The augmented matrix thus generated is expected to serve as a stochastic matrix of an absorbing Markov chain.

• Genomics & Informatics
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• 제21권1호
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• pp.6.1-6.8
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• 2023

Glaucoma is the second leading cause of irreversible blindness, and primary open-angle glaucoma (POAG) is the most common type. Due to inadequate diagnosis, treatment is often not administered until symptoms occur. Hence, approaches enabling earlier prediction or diagnosis of POAG are necessary. We aimed to identify novel drugs for glaucoma through bioinformatics and network analysis. Data from 36 samples, obtained from the trabecular meshwork of healthy individuals and patients with POAG, were acquired from a dataset. Next, differentially expressed genes (DEGs) were identified to construct a protein-protein interaction (PPI) network. In both stages, the genes were enriched by studying the critical biological processes and pathways related to POAG. Finally, a drug-gene network was constructed, and novel drugs for POAG treatment were proposed. Genes with p < 0.01 and |log fold change| > 0.3 (1,350 genes) were considered DEGs and utilized to construct a PPI network. Enrichment analysis yielded several key pathways that were upregulated or downregulated. For example, extracellular matrix organization, the immune system, neutrophil degranulation, and cytokine signaling were upregulated among immune pathways, while signal transduction, the immune system, extracellular matrix organization, and receptor tyrosine kinase signaling were downregulated. Finally, novel drugs including metformin hydrochloride, ixazomib citrate, and cisplatin warrant further analysis of their potential roles in POAG treatment. The candidate drugs identified in this computational analysis require in vitro and in vivo validation to confirm their effectiveness in POAG treatment. This may pave the way for understanding life-threatening disorders such as cancer.

• Biotechnology and Bioprocess Engineering:BBE
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• 제6권5호
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• pp.311-325
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• 2001

Tissue engineering scaffolds play a critical role in regulating the reconstructed human tissue development. Various types of scaffolds have been developed in recent years, including fibrous matrix and foam-like scaffolds. The design of scaffold materials has been investigated extensively. However, the design of physical structure of the scaffold, especially fibrous matrices, has not received much attention. This paper compares the different characteristics of fibrous and foam-like scaffolds, and reviews regulatory roles of important scaffold properties, including surface geometry, scaffold configuration, pore structure, mechanical property and bioactivity. Tissue regeneration, cell organization, proliferation and differentiation under different microstructures were evaluated. The importance of proper scaffold selection and design is further discussed with the examples of bone tissue engineering and stem cell tissue engineering. This review addresses the importance of scaffold microstructure and provides insights in designing appropriate scaffold structure for different applications of tissue engineering.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2004년도 Asia Display / IMID 04
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• pp.877-880
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• 2004

A method of improving device performance of OTFT was investigated. The mobility of device is more than 0.51 $cm^2$/Vs and $I_{on}/I_{off}$ is higher than $10^6$. An Active-matrix LCD driven by OTFT was fabricated. The resolution of this panel is 64 ${\times}$ 128 pixels and the pixel size is 550 ${\mu}m$ ${\times}$ 550 ${\mu}m$.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.897-911
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• 2021

This study aims to analyze the important role of business analytics capability, information quality, and innovation capability in influencing organization agility and organization performance during the Covid-19 pandemic. Data was collected from 76 companies from various sectors in Indonesia. Structural Equation Model-Partial Least Square (SEM-PLS) analysis was conducted to analyze the relationship between variables and test a series of hypotheses. Importance-Performance Matrix Analysis (IPMA), a useful analysis approach in PLS-SEM, is used, which extends the results of the estimated path coefficient (importance) by adding a dimension that considers the average values of the latent variable scores (performance). The IPMA approach examines not only the performance of an item but also the importance of that item. The results show that business analytics capability has a significant effect on information quality and innovation capability which then affects organization agility. Organizational performance is influenced by organizational agility. IPMA results show that organizational agility has the highest level of impact on organizational performance. This study will assist companies in planning business analytics, improving information quality, increasing innovation capability, and ultimately increasing agility and performance during the Covid-19 pandemic. This study will add to existing knowledge about previous literature, especially in the Covid-19 pandemic situation.

• 정보처리학회논문지D
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• 제14D권1호
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• pp.57-66
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• 2007

소프트웨어 산업의 발전에 따라 소프트웨어 개발조직에서는 소프트웨어 품질이 중요한 이슈로 부각되었다. 특히 여러 종류의 테스트 성숙도 모델을 통해 조직의 소프트웨어 테스트 성숙도 향상에 대해 다양한 방면으로 시도하고 있다. 하지만 현재 테스트 성숙도를 측정할 수 있는 모델들은 기존의 개발 성숙도 측정 모델을 기반으로 개발하여 테스트 부분에 대한 언급이 부족하고 단지 테스트 성숙도 레벨만을 측정하였다. 이러한 문제점을 해결하기 위해 소프트웨어 개발프로세스와 한께 테스트 프로세스를 수행할 수 있도록 이중 V모델과 테스트 성숙도의 용이한 평가를 위한 테스트 평가 속성과 레벨을 정의한 테스트 속성과 상호관련 매트릭스를 제안하였다. 테스트 프로세스 개선(Test Process Improvement: TPI)의 개선제안(Improvement Suggestion) 방법을 통해 테스트 성숙도 모델 확장하고, 측정된 성숙도를 향상시킬 수 있는 개선방향을 제시한다. 또한, 본 연구에서 제안하는 테스트 성숙도 상호관련 매트릭스는 테스트 성숙도를 정량적으로 평가하기 위해 사용하였다. 결과적으로는 확장된 테스트 성숙도 모델을 통해 조직의 테스트 성숙도를 높이는데 기여 할 수 있으리라 생각한다.