• Title/Summary/Keyword: 생물학적 정보

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Effectiveness of an Environment-friendly Fumigator for Microorganisms that Can Cause Biological Damage to Records in Japan, Malaysia, and Oman (일본, 말레이시아, 오만의 기록물에서 분리한 유해미생물에 대한 친환경 기록물 소독장비 효과검증)

  • Kim, Min Ji;Lee, Eon Sook;Choi, Young Nam;Choi, Young Sin
    • Journal of Korean Society of Archives and Records Management
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    • v.15 no.2
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    • pp.165-179
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    • 2015
  • Archives have historical and academic values. That is why the study of preservation conditions and the environment for the effective management of various records progress. However, materials such as paper and adhesives will inevitably cause biological damages. These damages spread into the inner side of archives, which would make it impossible to recover. For example, archival records from Malaysia and Oman are easily exposed to biological damage because of these countries' hot and humid climate. As such, once records are damaged, disinfection operations are customary in these areas. Methyl bromide (MeBr) and ethylene oxide (EtO) were used in the disinfection process as they showed good insecticidal effect. However their antibacterial effect are negligible. As such, the need for an environmental-friendly fumigator was evident. An environmental-friendly fumigator is designed to improve storage stability. Such equipment is expected to contribute to prevention of damages to cultural heritages through its use of vaporization technology, maintenance of a disinfection space (chamber), and self-generation of nitrogen.

Reversible Watermarking based Video Contents Management and Control technique using Biological Organism Model (생물학적 유기체 모델을 이용한 가역 워터마킹 기반 비디오 콘텐츠 관리 및 제어 기법)

  • Jang, Bong-Joo;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.16 no.7
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    • pp.841-851
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    • 2013
  • The infectious information hiding system(IIHS) is proposed for secure distribution of high quality video contents by applying optimized watermark embedding and detection algorithms to video codecs. And the watermark as infectious information is transmitted while target video is displayed or edited by codecs. This paper proposes a fast and effective reversible watermarking and infectious information generation for IIHS. Our reversible watermarking scheme enables video decoder to control video quality and watermark strength actively for by adding control code and expiration date with the watermark. Also, we designed our scheme with low computational complexity to satisfy it's real-time processing in a video codec, and to prevent time or frame delay during watermark detection and video restoration, we embedded one watermark and one side information within a macro-block. Experimental results verify that our scheme satisfy real-time watermark embedding and detection and watermark error is 0% after reversible watermark detection. Finally, we conform that the quality of restored video contens is almost same with compressed video without watermarking algorithm.

The Scattering and Absorption Effects of Fluorescence Spectroscopy in a Real Time Optical Biopsy (실시간 광학적 생검에서 형광분광법의 산란과 흡수에 대한 영향)

  • Han, Seunghee;Muller, Markus G.;Kang, Seunghee;Kang, Haejin
    • Progress in Medical Physics
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    • v.12 no.1
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    • pp.79-94
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    • 2001
  • The fluorescence emanating from a biological tissue contains information about scattering, absorption and the intrinsic fluorescence (fluorescence only due to fluorophores). Becaue fluorescence spectra of biological tissue are often significantly affected by the presence of tissue absorbers and scatterers, the measured tissue fluorescence cannot be interpreted as a linear combination of intrinsic fluorescence spectra of different tissue biochemical. We conducted experiments to examine the influence of scattering and absorption on the experimentally measured fluorescence of a turbid medium such as biological tissue. Therefore, we acquired fluorescence and reflectance spectra of tissue phantoms with a wide range of scatterer and absorber concentrations. By applying a photon migration model, which uses the scattering and absorption information contained in reflectance spectra to remove their distortion also present in fluorescence spectra, we extract the intrinsic fluorescence of these tissue models. We achieved excellent agreement between modeled and actual intrinsic fluorescence spectra. The motivation for this research is that intrinsic fluorescence spectra are expected to change with progression of disease in human tissue, due to changes in the tissue biochemical composition. It is not possible to distinguish the two tissue types by using only the measured fluorescence, however clear separation can be achieved with the intrinsic fluorescence in real time optical biopsy.

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Whole-Genome Sequencing by the random shotgun approach (Random shotgun 방법을 이용한 생물체의 염기서열 분석)

  • Jung, Chol-Hee;Yoon, Kyong-Oh;Park, Hyun-Seok;Choi, Jin-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2000.10a
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    • pp.207-210
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    • 2000
  • 지금까지 인간이나 다른 생물체의 전체 유전체 염기서열을 밝혀내는 작업은 크게 세가지 방법으로 진행되었다. Clone-by-clone approach, sequence tagged connector approach, random shotgun approach(1)가 그것인데 마지막의 random shotgun approach는 fragment assembly problem을 비롯한 여러 가지 전산학적인 문제들을 수반한다. 이 논문은 저자들의 국내 최초로 미생물체의 전체 염기서열을 random shotgun approach를 이용하여 밝혀낸 경험을 바탕으로 그에 따르는 문제인 fragment assembly problem에 대해 소개하고 그에 수반되는 몇 가지 전산학적인 문제와 몇 가지 해결책에 대해 설명하려 한다.

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Drone Image AI Analysis Model for Ecological Environment Investigation (생태 환경 조사를 위한 드론영상 AI분석 모델)

  • Shin, Kwang-seong;Shin, Seong-yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.355-356
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    • 2021
  • Geological and biological surveys are conducted every year to investigate the state of tidal flat loss and ecological changes in the Saemangeum embankment. In addition, various activities for forest monitoring and large-scale environmental monitoring are being actively carried out throughout Korea. Due to the recent development of drone technology and artificial intelligence technology, various studies are being conducted to perform these activities more efficiently and economically. In this study, we propose an image segmentation technique using semantic segmentation to efficiently investigate and analyze large-scale ecological environments using Drone.

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Understanding and Knowledge of the Eye in Biological Science Education of Middle and High School Students in Busan (부산광역시 중고등학생의 눈에 대한 생물교육학적 이해도와 지식도)

  • Lee, Jeong-Ha;Choi, Woon Sang;Kim, Yoon Kyung;Lee, Jae Yoon;Lee, Myung Suk
    • Journal of Korean Ophthalmic Optics Society
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    • v.14 no.4
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    • pp.89-96
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    • 2009
  • Purpose: This study was to investigate and analyze understanding and knowledge of the eye in biological science education for middle and high school students in Busan. Methods: A total of 821 middle and high school students from four different schools participated by self-administered questionnaire test. The results were compared and analyzed by grade and gender. Results: In the survey of the understanding about the eye in the biological science curriculum, the results indicated that the more learning of the eye in biological science lecture led to the more understanding of the role of the eye. The difference of understanding the eye between learned and unlearned students in biological sciences lecture was significant (p<0.01). In the survey of the knowledge of the eye, students did not know about myopia and astigmatism (average value <50). Conclusions: As biological science education is one of the major factors to understand the role of the eye, this result suggests that more information about the eye in the curriculum of biology is included.

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Clinical Significance of the Expression of Oncosuppressor Gene Protein and Epidermal Growth Factor Receptor in Squamous Cell Carcinomas of Larynx (후두 편평세포암에서 암억제유전자 단백 및 상피성장인자 수용체 발현의 임상적 의의)

  • 정광윤;최종욱
    • Proceedings of the KOR-BRONCHOESO Conference
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    • 1993.05a
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    • pp.85-85
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    • 1993
  • The clinical staging system for laryngeal cancers is not sufficient for prognosticator due to different biologic characteristics and their microenvironment according to primary sites. For determining the prognosticators, the authors peformed immunohistochemical staining to EGFR, p53 protein, and pRB in 40 cases of surgically treated squamous cell carcinomas of larynx in our institute during the past 5 years. The results are as followings; 1. The positive expression rate of p53 protein and negative expression rate of pRB showed correlations with clinical parameters. 2. The three-year survival rate for p53 protein positive cases was worse than the p53 protein negative cases. 3. Expression rate of EGFR was not correlated with the clinical parameters. As a conclusion, expression rates of p53 protein and pRB not only reflect well the biologic behavior of laryngeal cancer, but correlate closely with the tumor factors. Therefore they may be useful as the prognosticator to predict the malignant potency of laryngeal squamous cell carcinomas.

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Bioinformatic Analysis of Envelope Protein Domains of Zika Virus and Dengue Virus (지카 바이러스 및 뎅기 바이러스의 외피 단백질을 구성하는 도메인의 생물정보학적 분석)

  • Choi, Jae-Won;Kim, Hak Yong
    • The Journal of the Korea Contents Association
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    • v.19 no.11
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    • pp.632-643
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    • 2019
  • In recent years, large scale damages from arbovirus infections by mosquitoes have been reported worldwide due to factors such as change in global climate, increased overseas travel, and increased logistics movement between countries. Among them, Zika virus and dengue virus belonging to genus Flavivirus are representative. In this study, we performed in-depth analyses of the envelope (E) protein that perform essential functions for host infection of Zika virus and dengue virus based on bioinformatics databases. The domain analysis of E protein was performed to determine the type, location, and function, and homology analysis for each domain. From these results, EDIII showing low homology was identified. The homology and immunogenicity of each peptide constituting EDIII were analyzed and three-dimensional structures were modeled. Furthermore, we discussed their biological meaning and how they could be used.

Research Status and Future Subjects to Predict Pest Occurrences in Agricultural Ecosystems Under Climate Change (기후변화에 따른 농업생태계 내 해충 발생 예측을 위한 연구 현황 및 향후 과제)

  • Jung, Jong-Kook;Lee, Hyoseok;Lee, Joon-Ho
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.16 no.4
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    • pp.368-383
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    • 2014
  • Climate change is expected to affect population density, phenology, distribution, morphological traits, reproduction and genetics of insects, and even in the extinction of insects. To develop novel research subjects for predicting climate change effect, basic information about biological and ecological data on insect species should be compiled and reviewed. For this reason, this study was conducted to collect the biological information on insect pests that are essential for predicting potential damage caused by insect pests in future environment. In addition, we compared domestic and foreign research trends regarding climate change effect and suggested future research subjects. Domestic researchers were rather narrow in the subject, and were mostly conducted based on short-term monitoring data to determine relationship between insects and environmental variables. On the other hand, foreign researches studied on various subjects to analyze the effect of climate change, such as changes in distribution of insect using long-term monitoring data or their prediction using population parameters and models, and monitoring of the change of the insect community structure. To determine change of the phenology, distribution, overwintering characteristics, and genetic structures of insects under climate change through development of monitoring technique, in conclusion, further researches are needed. Also, development of population models for major or potential pests is important for prediction of climate change effects.

Hypernetwork Classifiers for Microarray-Based miRNA Module Analysis (마이크로어레이 기반 miRNA 모듈 분석을 위한 하이퍼망 분류 기법)

  • Kim, Sun;Kim, Soo-Jin;Zhang, Byoung-Tak
    • Journal of KIISE:Software and Applications
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    • v.35 no.6
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    • pp.347-356
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    • 2008
  • High-throughput microarray is one of the most popular tools in molecular biology, and various computational methods have been developed for the microarray data analysis. While the computational methods easily extract significant features, it suffers from inferring modules of multiple co-regulated genes. Hypernetworhs are motivated by biological networks, which handle all elements based on their combinatorial processes. Hence, the hypernetworks can naturally analyze the biological effects of gene combinations. In this paper, we introduce a hypernetwork classifier for microRNA (miRNA) profile analysis based on microarray data. The hypernetwork classifier uses miRNA pairs as elements, and an evolutionary learning is performed to model the microarray profiles. miTNA modules are easily extracted from the hypernetworks, and users can directly evaluate if the miRNA modules are significant. For experimental results, the hypernetwork classifier showed 91.46% accuracy for miRNA expression profiles on multiple human canters, which outperformed other machine learning methods. The hypernetwork-based analysis showed that our approach could find biologically significant miRNA modules.