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Research on the Diversity of Intestinal Microbial Communities of Red tilefish (Branchiostegus japonicus) by 16S rDNA Sequence Analysis (16S rDNA 염기서열 분석에 의한 옥돔(Branchiostegus japonicus)의 장내미생물 군집의 다양성 조사)

  • Kim, Min-Seon;Lee, Seung-Jong;Heo, Moon-Soo
    • Journal of Life Science
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    • v.28 no.3
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    • pp.361-368
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    • 2018
  • This study investigated the diversity of communities of intestinal microorganisms, separated from the intestinal organs of Red tilefish (Branchiostegus japonicas), collected on the Jeju Coast. First, in the isolation of 1.5% BHIA, MA, TSA and R2A Agar on the medium, there were most colonies in 1.5% BHIA. The results of aerobic culture and anaerobic culture were $1.7{\times}10^6CFU/g^{-1}$ and $1.1{\times}10^5cfu/g^{-1}$, respectively, on average, and 147 pure colonies were separated in total. In 16S rDNA sequencing, there were 58 genera and 74 species, showing 95-100% similarity with the basic strain. They were divided broadly into 5 phyla, and as the main phyletic group, Proteobacteria phylum comprised 50% with 9 families, 35 genera and 35 species of Moraxellaceae, Rhodobacteraceae, Shewanellae, Halomondaceae, Enterobacteriaceae, Vibrionaceae, Hahellaceae, Pseudomonadaceae, and Erythrobacteraceae, with the highest index of dominance. Actinobacteria phylum comprised 24% with 8 families, 11 genera and 17 species of Microbacteriaceae, Intrasporangiaceae, Dietziaceae, Dermabacteraceae, Dermacoccaceae, Nocardiodaceae, Brevibacteriaceae and Propionobacteriacea; Firmicutes phylum, 16% with 6 families, 8 genera and 17 species of Bacillaceae, Staphylcoccaceae, Planococcaceae, Streptococcaceae, Paenibacillaceae and Clostridiaceae; Bacteroidetes phylum, 6% with 2 families, 3 genera and 4 species of Cyclobacteriaceae and Flavobacteriaceae; and Deinococcus-Thermus phylum, 4% with 1 family, 1 genus and 1 species of Deinococcaceae.

Research on the Utilization of Recurrent Neural Networks for Automatic Generation of Korean Definitional Sentences of Technical Terms (기술 용어에 대한 한국어 정의 문장 자동 생성을 위한 순환 신경망 모델 활용 연구)

  • Choi, Garam;Kim, Han-Gook;Kim, Kwang-Hoon;Kim, You-eil;Choi, Sung-Pil
    • Journal of the Korean Society for Library and Information Science
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    • v.51 no.4
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    • pp.99-120
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    • 2017
  • In order to develop a semiautomatic support system that allows researchers concerned to efficiently analyze the technical trends for the ever-growing industry and market. This paper introduces a couple of Korean sentence generation models that can automatically generate definitional statements as well as descriptions of technical terms and concepts. The proposed models are based on a deep learning model called LSTM (Long Sort-Term Memory) capable of effectively labeling textual sequences by taking into account the contextual relations of each item in the sequences. Our models take technical terms as inputs and can generate a broad range of heterogeneous textual descriptions that explain the concept of the terms. In the experiments using large-scale training collections, we confirmed that more accurate and reasonable sentences can be generated by CHAR-CNN-LSTM model that is a word-based LSTM exploiting character embeddings based on convolutional neural networks (CNN). The results of this study can be a force for developing an extension model that can generate a set of sentences covering the same subjects, and furthermore, we can implement an artificial intelligence model that automatically creates technical literature.

Development of a Verification Tool in Radiation Treatment Setup (방사선치료 시 환자자세 확인을 위한 영상 분석 도구의 개발)

  • 조병철;강세권;한승희;박희철;박석원;오도훈;배훈식
    • Progress in Medical Physics
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    • v.14 no.3
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    • pp.196-202
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    • 2003
  • In 3-dimensional conformal radiation therapy (3D-CRT) and intensity-modulated radiation therapy (IMRT), many studies on reducing setup error have been conducted in order to focus the irradiation on the tumors while sparing normal tissues as much as possible. As one of these efforts, we developed an image enhancement and registration tool for simulators and portal images that analyze setup errors in a quantitative manner. For setup verification, we used simulator (films and EC-L films (Kodak, USA) as portal images. In addition, digital-captured images during simulation, and digitally-reconstructed radiographs (DRR) can be used as reference images in the software, which is coded using IDL5.4 (Research Systems Inc., USA). To improve the poor contrast of portal images, histogram-equalization, and adaptive histogram equalization, CLAHE (contrast limited adaptive histogram equalization) was implemented in the software. For image registration between simulator and portal images, contours drawn on the simulator image were transferred into the portal image, and then aligned onto the same anatomical structures on the portal image. In conclusion, applying CLAHE considerably improved the contrast of portal images and also enabled the analysis of setup errors in a quantitative manner.

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Material Analysis and Conservation Treatment of Sangryangmun in Jinnamgwan, Yeosu (여수 진남관 상량문의 재질분석 및 보존처리)

  • Imn, Se Yeon;Yu, Ji A;Lee, Jae Sung;Jeong, Hee Won
    • Journal of Conservation Science
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    • v.36 no.3
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    • pp.213-224
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    • 2020
  • This research conducted a component analysis and conservation treatment of "Sangryangmun," a material which had been written in 1965 and was discovered during the repair project for "Jinnamgwan" in Yeosu. The "Sangryangmun" has been stored in a cylindrical metal storage; however, defects, discolorations, hardening, and damages caused by pollutants were found. Based on the XRF analysis, rust in the cylindrical metal storage, which was made of Cu, was stuck on the surface of the "Sangryangmun". Using FT-IR and Pyrolysis-GC/MS analyses, carbonyl and compounds of fatty acids were detected; the organic material on the surface of the "Sangryangmun" was identified to have belonged to oil-based components. Therefore, it was presumed that the bast fibers of a mulberry was used in the paper. To determine the conservation materials, component analysis, condition survey, and preliminary test on adhesives were conducted. Moreover, the missing parts and partial linings were filled using mulberry-fiber paper, methyl cellulose, etc.