• Title/Summary/Keyword: KnowledgeMatrix

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XCM Biologic Tissue Matrix xenograft and autologous micromucosa graft for vaginal reconstruction in Mayer-Rokitansky-Küster-Hauser syndrome

  • Gomes, Tatiana Gigante;Agostinho, Mariana;Cardoso, Mariana Conceicao;da Costa, Joao Nunes;Matias, Julio
    • Archives of Plastic Surgery
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    • v.48 no.2
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    • pp.185-188
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    • 2021
  • Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome can be treated through numerous surgical and nonsurgical methods. We present a surgical technique in which a neovagina was reconstructed and shaped by a vaginal expander with acellular porcine dermal matrix (XCM Biologic Tissue Matrix) and mucosal interposition using microfragments harvested from the hymen. In our case, we found this procedure to be safe and effective, resulting in satisfactory sexual function and good cosmetic results, without donor site morbidity. To our best knowledge, this tissue-engineered biomaterial has never been used for vaginal reconstruction before.

Identification of matrix metalloproteinases secreted by human hepatocarcinoma HepG2 cells

  • Lee, Young Jae;Kim, Keun Cheon;Lim, Jeong Mook;Lee, Seung Tae
    • Journal of Animal Reproduction and Biotechnology
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    • v.37 no.1
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    • pp.62-66
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    • 2022
  • To date, the development of anticancer drugs has been conducted using two-dimensional (2D) cell culture systems. However, since cancer cells in the body are generated and developed in three-dimensional (3D) microenvironments, the use of 2D anticancer drug screening can make it difficult to accurately evaluate the anticancer effects of drug candidates. Therefore, as a step towards developing a cancer cell-friendly 3D microenvironment based on a combination of vinylsulfone-functionalized polyethylene glycol (PEG-VS) with dicysteine-containing crosslinker peptides with an intervening matrix metalloproteinase (MMP)-specific cleavage site, the types of MMPs secreted from human hepatocarcinoma HepG2 cells, a representative cancer cell, were analyzed transcriptionally and translationally. MMP3 was confirmed to be the most highly expressed protease secreted by HepG2 cells. This knowledge will be important in the design of a crosslinker necessary for the construction of PEG-based hydrogels customized for the 3D culture of HepG2 cells.

Use of Acellular Biologic Matrix Envelope for Cardiac Implantable Electronic Device Placement to Correct Migration into Submuscular Breast Implant Pocket

  • Peyton Terry;Kenneth Bilchick;Chris A. Campbell
    • Archives of Plastic Surgery
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    • v.50 no.2
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    • pp.156-159
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    • 2023
  • Breast implants whether used for cosmetic or reconstructive purposes can be placed in pockets either above or below the pectoralis major muscle, depending on clinical circumstances such as subcutaneous tissue volume, history of radiation, and patient preference. Likewise, cardiac implantable electronic devices (CIEDs) can be placed above or below the pectoralis major muscle. When a patient has both devices, knowledge of the pocket location is important for procedural planning and for durability of device placement and performance. Here, we report a patient who previously failed subcutaneous CIED placement due to incision manipulation with prior threatened device exposure requiring plane change to subpectoral pocket. Her course was complicated by submuscular migration of the CIED into her breast implant periprosthetic pocket. With subcutaneous plane change being inadvisable due to patient noncompliance, soft tissue support of subpectoral CIED placement with an acellular biologic matrix (ABM) was performed. Similar to soft tissue support used for breast implants, submuscular CIED neo-pocket creation with ABM was performed with durable CIED device positioning confirmed at 9 months postprocedure.

Organizational Memory Formulation by Inference Diagram

  • Lee, Kun-Chang;Nho, Jae-Bum
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1999.10a
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    • pp.42-46
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    • 1999
  • Knowledge management(KM) is emerging as a robust management mechanism with which an organization can remain highly intelligent and competitive in a turbulent market. Organization memory(or knowledge) is at the heart of KM success. How to create organizational memory has been debated among researchers. In literature, a wide variety of methods for creating organizational memory have been proposed only to prove that its applicability is limited to decision-making problems which require shallow or non-causal knowledge type. However, organizational memory with a sense of causal knowledge is highly required in solving complicated decision-making problems in which complex dynamics exist between various factors and influence each other with cause and effect relationship among them. In this respect, we propose a new approach to creating a causal-typed organizational memory (CATOM), which has a form of causal knowledge and is represented in a matrix form, by using an inference diagram. An algorithm for CATOM creation is suggested and applied to an illustrative example. Results show that our proposed KM approach can effectively equip an organization with semi-automated CATOM creation and inference process which is deemed useful in a highly competitive business environment.

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Pre-service Elementary Teachers' Perceptions of the Technological, Pedagogical and Content Knowledge (TPACK) (테크놀로지 교수내용 지식 (TPACK) 에 대한 예비초등교사의 인식)

  • Kwon, Hyuk-il
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.339-345
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    • 2020
  • This study intended to analyze pre-service elementary teachers' perceptions of teacher knowledge based on the Technological, Pedagogical, and Content Knowledge (TPACK) framework. Seventy-four pre-service elementary teachers who were enrolled at an University of Education located in mid-continent of Korea participated in a survey. Results of the survey was analyzed using Importance-Performance Analysis (IPA) method. It was found that perception of importance was significantly higher than that of performance at all seven domains of the TPACK. IPA matrix extracted from the survey indicates that Technological Content Knowledge (TCK), Technological Pedagogical Knowledge (TPK), and TPACK which are related to technology especially need to develop. Results of this study also show the necessity to support pre-service teachers so that they can have opportunities to develop and use technology-related knowledge and skills. This study especially implies that technological knowledge needs to be integrated with content and pedagogical knowledge when implementing curriculum and educational programs for pre-servie elementary teachers.

Effective Cross-Lingual Text Retrieval using a Fuzzy Knowledge Base (퍼지 지식베이스를 이용한 효과적인 다언어 문서 검색)

  • Choi, Myeong-Bok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.1
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    • pp.53-62
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    • 2008
  • Cross-lingual text retrieval(CLTR) is the information retrieval in which a user tries to search a set of documents written in one language for a query another language. This thesis proposes a CLTR system based on fuzzy multilingual thesaurus to handle a partial matching between terms of two different languages. The proposed CLTR system uses a fuzzy term matrix defined in our thesis to perform the information retrieval effectively. In the defined fuzzy term matrix, all relation degrees between terms are inferred from using the transitive closure algorithm to reflect all implicit links between terms into processing of the information retrieval. With this framework, the CLTR system proposed in our thesis enhances the retrieval effectiveness because it is able to emulate a human expert's decision making well in CLTR.

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Towards a Value-Creation Framework for Proptech Business (프롭테크 비즈니스 가치창출 프레임워크)

  • Kim, Jae-Young;Park, Seung-Bong
    • Knowledge Management Research
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    • v.22 no.1
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    • pp.105-120
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    • 2021
  • Recently, there has been a dramatic change in real estate markets with the development of information technology. The word, Proptech, is defined as the real estate transaction innovation motivated by various types of information technology including artificial intelligence, sensing technology and big data. The objective of this study is to provide a value-creation framework for Proptech business based on the understanding of how and what types of values are created and shared, which gives organization to develop strategies and business models. And a new classification scheme of Proptech business is also suggested based on the recognition of created values along the development of Proptech business. Then, the proposed matrix is applied to derive the business value such as intangibility value, relational value and enhancement value with the case analysis on the each components of Proptech business.

An Overview of Matrix Metalloproteinase 9 Polymorphism and Gastric Cancer Risk

  • Verma, Sugreev;Kesh, Kousik;Gupta, Arnab;Swarnakar, Snehasikta
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.17
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    • pp.7393-7400
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    • 2015
  • Matrix metalloproteinase (MMP) 9, a key member of multifunctional family of zinc dependent endopeptidases has been found to be upregulated during inflammation and in some cancers. MMPs cleave extracellular matrix (ECM) proteins and play critical roles in cellular apoptosis, angiogenesis, tumor growth and metastasis. Several genetic polymorphisms have been identified that show allele specific effects on MMP9 regulation and are associated with gastric cancer, the fourth most common malignancy in the world. Besides Helicobacter pylori infection, genetic predisposition is another documented risk factor for gastric carcinoma. The single nucleotide polymorphism (SNP) at position -1562C/T of MMP9 results in the modulation for binding of transcription factors to the MMP9 gene promoter and thereby causes differences in protein expression and enzymatic activity. MMP9 transcriptional regulation during gastric cancer development remains poorly known although several studies have demonstrated associations between MMP9 -1562 C/T polymorphism with different diseases. Knowledge on mechanisms of MMP9 upregulation during gastric cancer may provide new paradigm in diagnostics and therapeutics.

The Development of Expert System for Strength Evaluation of TiNi Fiber Reinforced Al Matrix Composite (TiNi/Al기 형상기억복합재료의 강도평가를 위한 전문가시스템의 개발)

  • Park, Young-Chul;Lee, Dong-Hwa;Park, Dong-Sung
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.8 s.227
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    • pp.1099-1108
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    • 2004
  • In this paper, a study on the development of expert system for Al matrix composite with shape memory alloy fiber is performed to evaluate termomechanical behavior and mechanical properties. Expert system is very useful computer-based analysis system designed to make analysis technique and knowledge conveniently available to a lot of fabricable condition. In the developed system, it is possible to predict termomechanical behavior and mechanical properties for other composite with shape memory alloy fiber. The smartness of the shape memory alloy is given due to the shape memory effect of the TiNi fiber which generates compressive residual stress in the matrix material when heated after being prestrained. For finite element analysis, an analytical model is assumed two dimensional axisymmetric model compared of one fiber and the matrix. To evaluate the strength of composite using FEM, the concept of smart composite was simulated on computer Thus, in this paper, the FEA was carried out at two critical temperature conditions; room temperature and high temperature(363k). The finite element analysis result was compared with the test result for the analysis validity.

A Theoretical Framework for Closeness Centralization Measurements in a Workflow-Supported Organization

  • Kim, Min-Joon;Ahn, Hyun;Park, Min-Jae
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.9
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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.