• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.1
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• pp.337-346
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• 2013

A design collaboration system for a plant project is a set of complicated multidisciplinary processes in which a large number of various engineering fields are involved. Each subsystem is related to each other as they depend on information that other subsystems create, which leads to inefficient design iterations. This study presents an optimal design collaboration system for a plant project using Design Structure Matrix (DSM). Data regarding design subsystems, parameters, etc. were obtained by expert surveys and workshops. An automatic analysis program for DSM was developed using Visual Basic Application and Matlab to provide a partitioned DSM. A case study was conducted on a furnace project; consequently, the optimal design collaboration system with five crucial iteration groups was derived.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.35-43
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• 2016

Internal and external environment changes surrounding our society are pressing our government to solve a lot of difficult problems. These problems are more likely to be solved by a number of ministries and agencies, rather than a single ministry or agency. Thus collaboration is a necessary strategy to increase government's problem-solving skills. This study examines determinants of successful collaboration by analysing cases of local governments that solved uneasy problems covering many ministries after persistent efforts which have been controversial issues in our society. First, theoretical approach for collaboration and its matrix is examined. Second, interviews of government officers are analyzed to study collaboration cases. Finally, Strategic points of view are discussed to promote collaboration within government sectors. The results show that common goal sharing, incentives and supporting systems play important roles in inducing collaboration.

• Journal of Information Processing Systems
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• v.17 no.5
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• pp.918-932
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• 2021

Evaluation of the collaboration of the upstream and downstream enterprises in the manufacturing supply chain is important to improve their synergistic effect. From the supply chain perspective, this study establishes the evaluation model of the manufacturing enterprise collaboration on the basis of fuzzy entropy according to synergistic theory. Downstream enterprises carry out coordinated capital, business, and information flows as subsystems and research enterprises as composite systems. From the three subsystems, the collaboration evaluation index is selected as the order parameter. The compound fuzzy matter-element matrix is established by using its improved algorithm. Subordinate membership and standard deviation fuzzy matter-element matrixes are constructed. Index weight is determined using the entropy weight method. The closeness of each matter element is then calculated. Through a representative of the home appliance industry, namely, Gree Electric Appliances Inc. of Zhuhai, empirical analysis of data in 2011-2017 from the company and its upstream and downstream enterprise collaboration shows a good trend, but the coordinated development has not reached stability. Gree Electric Appliances Inc. of Zhuhai need to strengthen the synergy with upstream and downstream enterprises in terms of cash, business, and information flows to enhance competitiveness. Experimental results show that this method can provide precise suggestions for enterprises, improve the degree of collaboration, and accelerate the development and upgrading of the manufacturing industry.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1036-1046
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• 2009

Many construction activities are related because they share the information of working methods and resources. Generally, the design information for coupled activities needs to be constantly collaborated in the different teams. To achieve the improvement in team collaboration, it is necessary to identify the relative coupled activities in the design teams. The activity and work partitioning arrangements are also required to accommodate the appropriate team members. This paper presents an integral method to be an evaluation in improving the collaboration for teams partitioning. A model, Team Partitioning Method (TPM) was developed to clarify the relationships between activities in a team. The results show the applicability of TPM model in team partitioning for design collaboration.

• Journal of KIISE:Software and Applications
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• v.36 no.10
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• pp.851-860
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• 2009

Recently, among the computational methods of protein-protein interaction prediction, vast amounts of domain based methods originated from domain-domain relation consideration have been developed. However, it is true that multi domains collaboration is avowedly ignored because of computational complexity. In this paper, we implemented a protein interaction prediction system based the Interaction Significance matrix, which quantified an influence of domain combination pair on a protein interaction. Unlike conventional domain combination methods, IS matrix contains weighted domain combinations and domain combination pair power, which mean possibilities of domain collaboration and being the main body on a protein interaction. About 63% of sensitivity and 94% of specificity were measured when we use interaction data from DIP, IntAct and Pfam-A as a domain database. In addition, prediction accuracy gradually increased by growth of learning set size, The prediction software and learning data are currently available on the web site.

• Design Convergence Study
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• v.15 no.5
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• pp.21-35
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• 2016

With subdivision of customers and markets, today, domains to design are expanding. When design merges with other spheres of design, it is important to convey a consistent message to customers. For delivering a message consistently and clearly, there is a need to reconcile different views in design processes. In this study, each design process was analyzed and the sequence was adjusted using the DSM methodology for understanding mutual dependent relations. For this, process activity elements were extracted with experts and a survey on related elements was conducted. Then the survey findings were divided for working out the sequence and based on the views regarding the sequence, a total design process was created.. As a result, the processes were combined into one sequence and there was a collaboration at the 10th stage. Also, a methodology used in collaboration and significant elements were analyzed. In conclusion, it is anticipated that this total design process would provide a more objective and scientific approach in collaboration among various spheres of design and help in reducing lead time.

• Journal of Microbiology and Biotechnology
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• v.29 no.1
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• pp.21-29
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• 2019

The effects of Lavandula angustifolia extract fermented with Pediococcus pentosaceus DK1 on UVB-mediated MMP-1 expression and collagen decrease in human skin fibroblasts were determined, and the conversion of its components was also analyzed. Fermentation was performed at varying L. angustifolia extract and MRS medium concentrations, and optimal fermentation conditions were selected. L. angustifolia extracts showed decreased cytotoxicity after fermentation in the fibroblasts. UVB-irradiated fibroblasts treated with fermented L. angustifolia extract showed MMP-1 expression 8.2-14.0% lower than that in UVB-irradiated fibroblasts treated with non-fermented extract. This was observed even at fermented extract concentrations lower than those of non-fermented extracts. Fibroblasts treated with fermented L. angustifolia extract showed 20% less reduction in collagen production upon UVB irradiation than those treated with non-fermented extracts. UVB-irradiated fibroblasts treated with fermented L. angustifolia extracts showed 50% higher inhibition of ROS generation than those treated with non-fermented extract. Luteolin and apigenin glycosides of L. angustifolia were converted during fermentation, and identified using RP-HPLC and LC/ESI-MS. Therefore, the effects of L. angustifolia extract on MMP-1 expression and collagen decrease in UVB-irradiated human skin fibroblasts were increased through fermentation by P. pentosaceus.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.7
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• pp.2719-2724
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• 2015

Objective: The aim of this study was to investigate the clinical significance of annexin a1 (ANXA1) and provide molecular evidence to support that decreased ANXA1 expression could enhance cancer migration and invasion in pancreatic ductal adenocarcinoma (PDAC). Materials and Methods: Immunohistochemistry of a tissue microarray with 162 surgically resected PDAC specimens was performed to examine the expression of ANXA1. We also investigated the relationship between ANXA1 expression and clinicopathological factors and prognosis of PDAC patients. We further studied the role of ANXA1 in PDAC cell proliferation, migration and invasion by cell proliferation assay, migration assay and matrigel invasion assay with reduced ANXA1 expression by RNAi. Western blotting was used to detect matrix metalloproteinase-9 (MMP-9), and tissue inhibitor of metalloproteinase-1 (TIMP-1) expression. We also detected MMP-9 enzyme activity by gelatin zymography. Results: Decreased expression of ANXA1 was significantly associated with poor differentiation, lymph node metastasis and advanced TNM stage of PDAC patients (p<0.05). Moreover, decreased expression of ANXA1 was correlated with poor survival (p<0.05). Furthermore, we found that ANXA1 knockdown inhibited cell proliferation, induced G1 phase cell cycle arrest, increased PDAC cell migration and invasion capacity compared with controls. In addition, Western blotting showed that ANXA1 knockdown increased the MMP-9 protein level and decreased TIMP-1 expression. Gelatin zymography showed that MMP-9 enzyme activity was also elevated. Conclusions: Negative ANXA1 expression is a most unfavorable prognostic factor for PDAC patients. ANXA1 knockdown inhibits cell proliferation by inducing G1 phase cell cycle arrest and increases migration and invasion of PDAC cells through up-regulating MMP-9 expression and activity, implying that ANXA1 may serve as a promising prognostic biomarker and therapeutic target for PDAC.

• Korean Medical Education Review
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• v.19 no.3
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• pp.152-157
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• 2017

Interprofessional education (IPE) fosters effective team-based collaborative practice among members of different health care professions to advance high-quality and safe patient care. Although the importance of IPE has been recognized and IPE initiatives have expanded rapidly in the past decades, substantial difficulties in IPE assessment still exist. At present, a lack of consensus on the optimal approach to IPE assessment contributes to uncertainty about the level of attainment of collaborative team performance. This paper aims to provide an overview of the benefits and current challenges associated with IPE assessment. Furthermore, a multifactor model with an assessment matrix and assessment blueprints from a recent study is briefly discussed. We also provide examples of assessment blueprints for the team management of stroke patient discharge covering a competency examination at the levels of individuals, the team, and the task.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.1-28
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• 2017

Today, according to the increased importance of industry-university cooperation in the knowledge-based economy, support and the number of researches involved in industry-university cooperation has also steadily increased. But it is true that profits from the outcome of patents resulting from such cooperation, such as technology transfer and royalty fees, are lower than they are supposed to be, because of excessive patents applications, although some of them have little commercial potential. Therefore, this research aims to suggest a way to analyze and recognize patents, which enable efficient industry-university cooperation and technology transfer. For the analysis, data on 1,061 patents was collected from 4 different universities. With the data, a quality-strategy matrix was arranged targeting the industry-university cooperation foundations', US patents owned by universities, text mining, and social network analysis were carried out, particularly focusing on the patents in the advanced quality technology section of the matrix. Then core key words and IPC codes were obtained and key patents were analyzed by universities. As a result of the analysis, it was found that 4 key patents, 2 key IPC codes were drawn for University H, 4 key patents, 2 key IPC codes for University K, 6 key patents, 1 key IPC code for University Y, 14 key patents, and 2 key IPC codes for University S. This research is expected to have a great significance in contributing to the invigoration of industry-university cooperation based on the analysis result on patents and IPC codes, which enable efficient industry-university cooperation and technology transfer.