• Title/Summary/Keyword: Biological information

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Biological indicators to monitor responses against climate change in Korea

  • Lee, Byoung-Yoon;Nam, Gi-Heum;Yun, Jong-Hak;Cho, Ga Youn;Lee, Jin Sung;Kim, Jin-Han;Park, Tae Seo;Kim, Kigyoung;Oh, Kyounghee
    • Korean Journal of Plant Taxonomy
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    • v.40 no.4
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    • pp.202-207
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    • 2010
  • The most useful criteria and selection procedures of biological indicators have been developed in Korea because they have taken into account local and national concerns on biological responses against climate change. On the basis of these criteria and selection procedures, 100 climate-sensitive biological indicator species were selected to predict biodiversity distribution shift by climate change and manage biological resources integratedly at the national level. It is expected that selection and monitoring of biological indicators by climate change will provide significant information to prepare protective strategies of vulnerable species against climate change and adaptive policies under the changing environment in Korea. In this paper, we have reviewed what kinds of criteria were considered in selecting bioindicators to assess responses of biological organisms against climate change. Definition and selection steps of bioindicators were proposed, and the 100 species of climate- sensitive biological indicators were selected out of 33,253 taxa reported in Korea.

Design of Intelligent Information Processing Layer based on Brain (뇌 정보처리 원리 기반 지능형 정보처리 레이어 설계)

  • Kim Seong-Joo
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.05a
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    • pp.45-48
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    • 2006
  • The system that can generate biological brain information processing mechanism more precisely may have several abilities such as exact cognition, situation decision, learning and inference, and output decision. In this paper, to implement high level information processing and thinking ability in a complex system, the information processing layer based on the biological brain is introduced. The biological brain information processing mechanism, which is analyzed in this paper, provides fundamental information about intelligent engineering system, and the design of the layer that can mimic the functions of a brain through engineering definitions can efficiently introduce an intelligent information processing method having a consistent flow in various engineering systems. The applications proposed in this paper are expected to take several roles as a unified model that generates information process in various areas, such as engineering and medical field, with a dream of implementing humanoid artificial intelligent system.

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A report of 10 unrecorded bacterial species of Korea, isolated from agricultural soil in 2022

  • Oung Bin Lim;Ji Soo Lee;Hyosun Lee;Ki Eun Lee;In Tae Cha;Won Jae Chi;Dong-Uk Kim
    • Korean Journal of Environmental Biology
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    • v.41 no.3
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    • pp.215-222
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    • 2023
  • In 2022, research for native prokaryotic species in Korea reported 10 unrecorded bacterial strains affiliated to phyla Actinomycetota, Bacillota, and Pseudomonadota. The strains formed monophyletic clades with the most closely related species (with ≥98.7% sequence similarity) in the 16S rRNA gene sequencing. Among them, four species of the phylum Actinomycetota, two species of the phylum Bacillota, and four species of the phylum Pseudomonadota have not been reported in Korea, suggesting unrecorded species in Korea. Information on strains such as Gram staining reaction, colony and cell morphology, biochemical characteristics, and isolation sources were provided in the species description.

A bio-text mining system using keywords and patterns in a grid environment

  • Kwon, Hyuk-Ryul;Jung, Tae-Sung;Kim, Kyoung-Ran;Jahng, Hye-Kyoung;Cho, Wan-Sup;Yoo, Jae-Soo
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2007.02a
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    • pp.48-52
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    • 2007
  • As huge amount of literature including biological data is being generated after post genome era, it becomes difficult for researcher to find useful knowledge from the biological databases. Bio-text mining and related natural language processing technique are the key issues in the intelligent knowledge retrieval from the biological databases. We propose a bio-text mining technique for the biologists who find Knowledge from the huge literature. At first, web robot is used to extract and transform related literature from remote databases. To improve retrieval speed, we generate an inverted file for keywords in the literature. Then, text mining system is used for extracting given knowledge patterns and keywords. Finally, we construct a grid computing environment to guarantee processing speed in the text mining even for huge literature databases. In the real experiment for 10,000 bio-literatures, the system shows 95% precision and 98% recall.

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A Study on the Threat of Biological Terrorism in modern society (현대사회의 환경변화에 따른 Bio-Terror의 위협요인 연구)

  • Kang, young-sook;Kim, Tae-hwan
    • Journal of the Society of Disaster Information
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    • v.1 no.1
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    • pp.3-26
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    • 2005
  • In recent years, there is growing concern about the potential use of biological agents in war or acts of terrorism accompanied an increased realization that rapid preparedness and response are needed to prevent or treat the human damage that can be caused by these agents. The threat is indeed serious, and the potential for devastating numbers of casualties is high. The use of agents as weapons, even on a small scale, has the potential for huge social and economic disruption and massive diversion of regional and national resources to combat the threat, to treat primary disease, and to clean up environmental contamination. Biological weapons are one of weapons of mass destruction (or mass casualty weapons, to be precise. since they do not damage non-living entities) that are based on bacteria, viruses, rickettsia, fungi or toxins produced by these organisms. Biological weapons are known to be easy and cheap to produce and can be used to selectively target humans, animals, or plants. Theses agents can cause large numbers of casualties with minimal logistical requirements (in wide area). The spread of disease cannot be controlled until there is awareness of the signs of infection followed by identification of agents; and if the organism is easily spread from person to person, as in the case of smallpox, the number of casualties could run into the tens of thousands. Biological weapons could be used covertly, there can be a lot of different deployment scenarios. A lot of different agents could be used in biological weapons. And, there are a lot of different techniques to manufacture biological weapons. Terrorist acts that make use of Biological Agents differ in a number of ways from those involving chemicals. The distinction between terrorist and military use of Biological Weapon is increasingly problematic. The stealthy qualities of biological weapons further complicate the distinction between terrorism and war. In reality, all biological attacks are likely to require an integrated response involving both military and civilian communities. The basic considerations when public health agencies establish national defence plan against bioterrorism must be 1) arraying various laws and regulations to meet the realistic needs, 2)education for public health personnels and support of concerned academic society, 3)information collection and cooperative project with other countries, 4)Detection and surveillance(Early detection is essential for ensuring a prompt response to biological or chemical attack, including the provision of prophylactic medicines, chemical antidotes, or vaccines) and 5) Response(A comprehensive public health response to a biological or chemical terrorist event involves epidemiologic investigation, medical treatment and prophylaxis for affacted persons, and the initiation of disease prevention or environmental decontamination measures). The purpose of this paper is providing basic material of preparedness and response for biological terrorism in modern society.

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Information Storage Devices and Biological Mechanism of Information Storage (정보저장기기와 생물학적 정보저장 매커니즘 비교)

  • Lee, Seung-Yop;Kim, Kyung-Ho;Yang, Woo-Sung;Park, Young-Phil
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11b
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    • pp.582-587
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    • 2002
  • Current information storage devices, such as HDD, CD/DVD-ROM/RW, probe-based memory and hologram memory, are compared with biological information storage mechanisms in DNA and brain memory. Newly developed approaches to overcome the limit of storage capacity are introduced in both magnetic and optical recording devices. Linear and areal density of information stored in the biological and mechanical storages are compared for the applications and developments of new storage devices.

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A Biological Signal Analysis Workstation for SiMACS (SiMACS에서의 생체신호해석을 위한 Workstation)

  • Kim, Hyung-Jin;Park, Seung-Hun;Woo, Eung-Je
    • Proceedings of the KOSOMBE Conference
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    • v.1994 no.05
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    • pp.60-62
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    • 1994
  • In this paper, we present a signal analysis workstation in which the user can scrutinize and quantify biological signals, observe the effects of various signal processing algorithms on them, and eventually get some interpretation of clinical use. Within the system, the user can also access all the information in the central data base, such as patient personal information, biological signal information, and insert his interpretation results obtained into the data base after his careful observation. The software system is designed in an object-oriented paradigm, and written in C++ as a window-based application program.

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Evaluation, Characterization and Molecular Analysis of Cellulolytic Bacteria from Soil in Peshawar, Pakistan

  • Ikram, Hira;Khan, Hamid Ali;Ali, Hina;Liu, Yanhui;Kiran, Jawairia;Ullah, Amin;Ahmad, Yaseen;Sardar, Sadia;Gul, Alia
    • Microbiology and Biotechnology Letters
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    • v.50 no.2
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    • pp.245-254
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    • 2022
  • Cellulases are a group of biocatalyst enzymes that are capable of degrading cellulosic biomass present in the natural environment and produced by a large number of microorganisms, including bacteria and fungi, etc. In the current study, we isolated, screened and characterized cellulase-producing bacteria from soil. Three cellulose-degrading species were isolated based on clear zone using Congo red stain on carboxymethyl cellulose (CMC) agar plates. These bacterial isolates, named as HB2, HS5 and HS9, were subsequently characterized by morphological and biochemical tests as well as 16S rRNA gene sequencing. Based on 16S rRNA analysis, the bacterial isolates were identified as Bacillus cerus, Bacillus subtilis and Bacillus stratosphericus. Moreover, for maximum cellulase production, different growth parameters were optimized. Maximum optical density for growth was also noted at pH 7.0 for 48 h for all three isolates. Optical density was high for all three isolates using meat extract as a nitrogen source for 48 h. The pH profile of all three strains was quite similar but the maximum enzyme activity was observed at pH 7.0. Maximum cellulase production by all three bacterial isolates was noted when using lactose as a carbon rather than nitrogen and peptone. Further studies are needed for identification of new isolates in this region having maximum cellulolytic activity. Our findings indicate that this enzyme has various potential industrial applications.

Recent Progresses in the Linguistic Modeling of Biological Sequences Based on Formal Language Theory

  • Park, Hyun-Seok;Galbadrakh, Bulgan;Kim, Young-Mi
    • Genomics & Informatics
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    • v.9 no.1
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    • pp.5-11
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    • 2011
  • Treating genomes just as languages raises the possibility of producing concise generalizations about information in biological sequences. Grammars used in this way would constitute a model of underlying biological processes or structures, and that grammars may, in fact, serve as an appropriate tool for theory formation. The increasing number of biological sequences that have been yielded further highlights a growing need for developing grammatical systems in bioinformatics. The intent of this review is therefore to list some bibliographic references regarding the recent progresses in the field of grammatical modeling of biological sequences. This review will also contain some sections to briefly introduce basic knowledge about formal language theory, such as the Chomsky hierarchy, for non-experts in computational linguistics, and to provide some helpful pointers to start a deeper investigation into this field.

HorseDB; an Integrated Horse Resource and Web Service (말 데이터베이스 구축)

  • Kim Dae-Soo;Jo Un-Jong;Huh Jae-Won;Choe Eun-Sang;Cho Byung-Wook;Kim Heui-Soo
    • Journal of Life Science
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    • v.16 no.3 s.76
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    • pp.472-476
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    • 2006
  • We have built a database server called HorseDB which contains the genome annotation information and biological information for horse from public database entries. The aims of HorseDB are the integration of biological information and horse genome data on genome scale using bioinformatic methods. To facilitate the extraction of useful information among collected horse genome and biological data, we developed a user-friendly interface system, HorseDB; an Integrated Horse Resource and web Service. The database is categorized by the general horse information data, a sequence annotation data, and a world-wide web analysis program interface. The database also provides an easy access for user to find out the useful information within horse genomes and support analyzed information, such as sequence alignment and gene annotation results. HorseDB can be accessed at http://www.primate.or.kr./horse.