• Title/Summary/Keyword: Knowledge Expression

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혐기성 동정을 위한 임상의사결정 지원시스템 개발 (Clinical Decision Support System for Identification of Anaerobe)

  • 신용원
    • 한국콘텐츠학회논문지
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    • 제5권6호
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    • pp.20-30
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    • 2005
  • 혐기성 균의 동정과정은 업무영역 전체에 복잡성이 존재하며, 전문가의 비정형적인 경험적 지식을 주로 이용한다. 따라서 이와 같은 불완전한 지식체계를 시스템 내부에 표현하고 또한 사용자의 입장에서 진화하는 지식의 추가가 가능하여야 한다. 따라서 본 연구에서는 실질적으로 임상에서 이용이 가능하도록 혐기성 균을 모델로 임상의사결정지원시스템을 개발하여 원인 균 동정과정 시 동정경로 설정 및 해답의 도출에 조언이 가능하도록 하였다. 앞으로 혐기성 균뿐만 아니라 실제 진단검사의학과에서 분리빈도가 높은 호기성균을 포함하는 전체 세균을 대상으로 하는 확대된 영역의 임상의사결정지원시스템이 개발되면 전문가의 견해에서 정적, 동적, 지식을 제공해 줄 수 있는 기반이 되고, 이를 위해 본 연구가 기반으로 활용될 수 있을 것이다.

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On-off controllable RNA hybrid expression vector for yeast three-hybrid system

  • Bak, Geunu;Hwang, Se-Won;Ko, Ye-Rim;Lee, Jung-Min;Kim, Young-Mi;Kim, Kyung-Hwan;Hong, Soon-Kang;Lee, Young-Hoon
    • BMB Reports
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    • 제43권2호
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    • pp.110-114
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    • 2010
  • The yeast three-hybrid system (Y3H), a powerful method for identifying RNA-binding proteins, still suffers from many false positives, due mostly to RNA-independent interactions. In this study, we attempted to efficiently identify false positives by introducing a tetracycline operator (tetO) motif into the RPR1 promoter of an RNA hybrid expression vector. We successfully developed a tight tetracycline-regulatable RPR1 promoter variant containing a single tetO motif between the transcription start site and the A-box sequence of the RPR1 promoter. Expression from this tetracycline-regulatable RPR1 promoter in the presence of tetracycline-response transcription activator (tTA) was positively controlled by doxycycline (Dox), a derivative of tetracycline. This on-off control runs opposite to the general knowledge that Dox negatively regulates tTA. This positively controlled RPR1 promoter system can therefore efficiently eliminate RNA-independent false positives commonly observed in the Y3H system by directly monitoring RNA hybrid expression.

Association between ABCB1 Immunohistochemical Expression and Overall Survival in Gastric Cancer Patients

  • de Oliveira, Juliana;Felipe, Aledson Vitor;Neto, Ricardo Artigiani;Oshima, Celina Tizuko;de Souza Silva, Marcelo;Forones, Nora Manoukian
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권16호
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    • pp.6935-6938
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    • 2014
  • Gastric cancer (GC) is one of the most common malignancies worldwide. The ABCB1 protein, a member of the ATP-binding cassette (ABC) transporter family, encoded by the ABCB1 gene, considerably influences the distribution of drugs across cell membranes as well as multidrug resistance (MDR) of antineoplastic drugs. In contrast to the extensive knowledge on the pharmacological action of ABCB1 protein, the correlation between the clinical-pathological data and ABCB1 protein expression in patients with GC remains unclear. The aim was to investigate association between ABCB1 expression and overall survival in GC patients. Human tumor fragments from 57 GC patients were examined by immunohistochemistry assay. We observed lower survival rate of patients with GC who were positive for ABCB1 expression (p=0.030). Based on these observations, we conclude that GC patients with positive ABCB1 protein immunohistochemical expression in their tumors suffer shorter overall survival.

Analysis of Gene Expression in Mouse Spinal Cord-derived Neural Precursor Cells During Neuronal Differentiation

  • Ahn, Joon-Ik;Kim, So-Young;Ko, Moon-Jeong;Chung, Hye-Joo;Jeong, Ho-Sang
    • Genomics & Informatics
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    • 제7권2호
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    • pp.85-96
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    • 2009
  • The differentiation of neural precursor cells (NPCs) into neurons and astrocytes is a process that is tightly controlled by complicated and ill-defined gene networks. To extend our knowledge to gene networks, we performed a temporal analysis of gene expression during the differentiation (2, 4, and 8 days) of spinal cord-derived NPCs using oligonucleotide microarray technology. Out of 32,996 genes analyzed, 1878 exhibited significant changes in expression level (fold change>2, p<0.05) at least once throughout the differentiation process. These 1878 genes were classified into 12 groups by k-means clustering, based on their expression patterns. K-means clustering analysis revealed that the genes involved in astrogenesis were categorized into the clusters containing constantly upregulated genes, whereas the genes involved in neurogenesis were grouped to the cluster showing a sudden decrease in gene expression on Day 8. Functional analysis of the differentially expressed genes indicated the enrichment of genes for Pax6- NeuroD signaling.TGFb-SMAD and BMP-SMAD.which suggest the implication of these genes in the differentiation of NPCs and, in particular, key roles for Nova1 and TGFBR1 in the neurogenesis/astrogenesis of mouse spinal cord.

Beyond gene expression level: How are Bayesian methods doing a great job in quantification of isoform diversity and allelic imbalance?

  • Oh, Sunghee;Kim, Chul Soo
    • Journal of the Korean Data and Information Science Society
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    • 제27권1호
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    • pp.225-243
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    • 2016
  • Thanks to recent advance of next generation sequencing techniques, RNA-seq enabled to have an unprecedented opportunity to identify transcript variants with isoform diversity and allelic imbalance (Anders et al., 2012) by different transcriptional rates. To date, it is well known that those features might be associated with the aberrant patterns of disease complexity such as tissue (Anders and Huber, 2010; Anders et al., 2012; Nariai et al., 2014) specific differential expression at isoform levels or tissue specific allelic imbalance in mal-functionality of disease processes, etc. Nevertheless, the knowledge of post-transcriptional modification and AI in transcriptomic and genomic areas has been little known in the traditional platforms due to the limitation of technology and insufficient resolution. We here stress the potential of isoform variability and allelic specific expression that are relevant to the abnormality of disease mechanisms in transcriptional genetic regulatory networks. In addition, we systematically review how robust Bayesian approaches in RNA-seq have been developed and utilized in this regard in the field.

SNS(Social Network Services) 내에서 정보보안 지식공유의도에 미치는 영향 요인 (A Study of Factors Influencing the Intention to Share the Information Security Knowledge on SNS(Social Network Services))

  • 박태환;김수환;장재영
    • 한국전자거래학회지
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    • 제20권1호
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    • pp.1-22
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    • 2015
  • 최근 IT 산업의 급격한 성장과 스마트폰의 출현으로 인해, 우리는 시와 장소를 가리지 않고 인터넷 환경에 접속할 수 있게 되었다. 하지만, 이로 인한 부정적인 영향도 발생하였다. 그중 하나는 피싱(Phishing), 스미싱(SMishing)과 같은 금융 범죄의 증가이다. 피싱, 스미싱과 같은 범죄로부터 이용자를 보호하기 위한 많은 연구들이 진행 중에 있지만, SNS에서의 보안 관련 지식공유를 통한 범죄 완화에 대한 연구는 현재 찾아보기 어려운 실정이다. 본 연구에서는, SNS 이용자가 보안 관련 지식공유 의도를 불러일으키는 영향 요인에는 무엇이 있는지 알아보고자 한다. 연구를 통해 다음을 알 수 있었다. 지식제공 자기효능감은 자기표현에 유의미한 영향을 미친다. 그리고 자기표현, 정보보안 의식, 소속감은 SNS 내에서 보안 관련 지식공유 의도에 유의미한 영향을 미치는 것으로 밝혀졌다. 반면에, 이타성은 SNS 내에서 보안 관련 지식공유 의도에 유의미한 영향을 미치지 않았다. 향후에는 본 연구를 토대로, SNS 뿐만 아니라 모든 형태의 온라인 공동체로 연구의 범위를 넓혀, 가설을 일반화시키려는 노력이 필요할 것으로 보인다.

3차원 형상·지식정보를 활용한 마감공사 개산견적 프로세스 (Schematic Estimation Process for Finishing Work using 3D Geometry-Knowledge Information)

  • 박상헌;박형진;구교진
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2013년도 춘계 학술논문 발표대회
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    • pp.210-212
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    • 2013
  • The construction cost estimates during the design phase becomes the standard to judge profitability and validity, and is very important in various decision-makings by project owner. However, since approximate costs are quoted when many parts are undecided in the early stage of project, differences are bound to occur between the construction cost calculated through approximate quotation and that put into construction actually. Also, since in existing quotation works, quantity calculations have been dependent on the staff's manual work, involving error potential, and thus differences are likely in quantity calculation depending on the quotation staff's method of calculation. In this study, the process of creating space model to deduce 3D geometry information for approximate quotation in association with knowledge information and the expression for calculation of finishing area were proposed.

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외국인 대학생이 작성 중인 학술 보고서에 나타난 제(諸) 문제 (Procedural Problems in Academic Writing Faced by International Students)

  • 김지영
    • 한국어교육
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    • 제28권1호
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    • pp.23-47
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    • 2017
  • This research analyzed procedural problems presented in academic writing faced by international students. The result of this research will serve as a basis for suggesting methods of developing a curriculum in Korean writing as a liberal arts education designed for international students. To analyze problems presented in academic writing by international students, the standard of assessment was divided into interaction, knowledge construction, and material quotation. Then, knowledge construction was divided into contents, structure, and expression, and the items were subdivided in each category. These categories of assessment correspond to the genre of academic writing and are different from the existing standard of assessment for academic writing. Applying these standards, this research analyzed 43 texts of academic writing in process for a final paper by international students in an class and presented problems in them. Furthermore, this paper aims to give detailed feedback that can help solve those problems.

Effect of Potential Model Pruning on Official-Sized Board in Monte-Carlo GO

  • Oshima-So, Makoto
    • International Journal of Computer Science & Network Security
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    • 제21권6호
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    • pp.54-60
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    • 2021
  • Monte-Carlo GO is a computer GO program that is sufficiently competent without using knowledge expressions of IGO. Although it is computationally intensive, the computational complexity can be reduced by properly pruning the IGO game tree. Here, I achieve this by using a potential model based on the knowledge expressions of IGO. The potential model treats GO stones as potentials. A specific potential distribution on the GO board results from a unique arrangement of stones on the board. Pruning using the potential model categorizes legal moves into effective and ineffective moves in accordance with the potential threshold. Here, certain pruning strategies based on potentials and potential gradients are experimentally evaluated. For different-sized boards, including an official-sized board, the effects of pruning strategies are evaluated in terms of their robustness. I successfully demonstrate pruning using a potential model to reduce the computational complexity of GO as well as the robustness of this effect across different-sized boards.