• Animal cells and systems
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• 제3권2호
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• pp.133-141
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• 1999

To examine the taxonomic position and affinities of Isopyrum mandshuricum (Ranunculaceae) and related taxa, genetic analysis were carried out on the basis of isozyme patterns and ITS sequences. Molecular data, both isozyme patterns and ITS sequences suggest that I. mandshuricum is closely related to Enemion raddeanum than to Semiaquilegia adoxoides. The estimation of genetic identities by isozyme analysis reveals that I. manshuricum is genetically distant from E. raddeanum. The phylogenetic tree based on molecular data is rather congruent with the phenogram based on quantitative morphological characteristics, but not consistent with one based on qualitative morphological characteristics. Incongruencies between molecular and qualitative morphological data provide clues to re-evaluate several morphological features.

• 대한의용생체공학회:의공학회지
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• 제14권1호
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• pp.81-88
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• 1993

This paper is the study of the reflectance of light from biological tissue for red and Infrared wavelengths and relates the acquired reflectance data to expected physiological changes within the skin and muscle layers associated with heat and exercise. The instrument was disigned to collect data from the calf muscle in human subjects with probe located at the surface of skin. Rapid data acquisition method allowed monitoring of rapid changes in reflecttance due to a stimulus. This study demonstrates that changes in O2 saturation and blood fractional volume expected within the dermis and muscle layers were asserted by examining the slopes of the plotted index for heat and exercise. The results presented in thls study support the claim that reflectance can separately discriminate between changes of blood volume and oxygenation in muscle and in skin. The data demonstrate the ability to measure consistent changes In tissue optical properties during exercise and heat.

• Genomics & Informatics
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• 제1권1호
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• pp.1-6
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• 2003

In conclusion, the seemingly fuzzy and disorganized data of biology with thousands of different layers ranging from molecule to the Internet have refused so far to be mapped precisely and predicted successfully by mathematicians, physicists or computer scientists. Genomics and bioinformatics are the fields that process such complex data. The insights on the nature of biological entities as complex interaction networks are opening a door toward a generalization of the representation of biological entities. The main challenge of genomics and bioinformatics now lies in 1) how to data mine the networks of the domains of bioinformatics, namely, the literature, metabolic pathways, and proteome and structures, in terms of interaction; and 2) how to generalize the networks in order to integrate the information into computable genomic data for computers regardless of the levels of layer. Once bioinformatists succeed to find a general principle on the way components interact each other to form any organic interaction network at genomic scale, true simulation and prediction of life in silico will be possible.

• KSBB Journal
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• 제27권1호
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• pp.40-44
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• 2012

The laboratory animal group separation is dividing animal population into subgroups, which have similar average and standard deviation values among the subgroups, based on the biological characteristics such as body weight, glucose level in blood, etc. Although group separation is very important and initial step in experimental design, it needs a labor intensive process for researchers because of making similar average and standard deviation values among the subgroups using the raw biological characteristics. To reduce the labor cost and increase the efficiency of animal grouping, we developed a web program named as laboratory animal group separation (LAGS) program. This LAGS uses biological characteristics of population, number of group, and the number of elements per each subgroup as input data. The LAGS automatically separates the population into each subgroup that has similar statistical data such as average and standard deviation values among subgroups. It also provides researchers with the extraordinary data generated in the process of grouping and the final grouping results by graphical display. Through our LAGS, researchers can validate and confirm results of laboratory animal group separation by just a few mouse clicks.

• 인터넷정보학회논문지
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• 제19권4호
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• pp.135-150
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• 2018

세계적으로 생물자원 연구데이터는 그 자체로 중요할 뿐만 아니라, 공유되고 활용되어야 한다. 본 논문에서는 명확한 기준 없이 각각의 연구목적과 특성에 따라 개별적으로 구축, 관리되고 있는 생물자원 연구데이터를 공동 활용 할 수 있도록 정보시스템의 구축 단계부터 적용 가능한 데이터 참조모델을 제시한다. 이를 위해 기존 관련 정보시스템의 데이터 모델을 국내외 표준 및 데이터 관리 정책을 기반으로 확장하여 개별 정보시스템에서 공동 활용 할 수 있는 데이터 참조모델을 개발하고 그 적용 절차를 제안한다. 또한, 제안하는 데이터 참조모델의 우수성을 입증하기 위하여 Krogstie의 데이터모델 평가모형을 적용하여 품질수준을 검증하고 국내외 표준들과의 데이터 공유수준을 비교한다. 실험 결과 기존 데이터 모델보다 데이터를 자원, 대상, 활동, 성과의 4단계로 분류하고 엔티티 도출 및 관계를 정의한 데이터 참조모델에서 데이터의 품질과 공유수준이 높게 나타나는 것을 확인 할 수 있었다.

• 한국동물학회:학술대회논문집
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• 한국동물학회 2003년도 한국생물과학협회 학술발표대회
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• pp.208.2-208
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• 2003

No Abstract, See Full Text

• 한국초등과학교육학회지:초등과학교육
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• 제23권2호
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• pp.101-109
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• 2004

The purpose of this research is to provide useful data in forming sound scientific concepts by investigating elementary students' non-scientific concepts related to their concepts of biological adaptation, and by analyzing the general inclinations and causes of some misconceptions. Twenty-four objective questions were designed to be given to 5th and 6th grade elementary students in order to investigate their concepts of biological adaptation. According to the test results, they formed scientific concepts in most questions. But they appeared to have many misconceptions in some parts which should be guided by the teacher's additional explanations rather than by the education curricula's focus. There are some cases where the 6th grade students had more misconceptions than the 5th grade students who were not systemically taught the concepts of biological adaptation, for the reasons of strengthening or maintaining the misconceptions by confusing the contents of learning. Male and female students have different scientific concepts of different questions according to their interest and attention. Therefore, it is necessary to develop various teaching-learning data which can help the teachers' additional explanations about the concepts of biological adaptation and invoke students' interest and attention, and to seek appropriate measures to form sound scientific concepts among teachers as well as students.

• 한국정보통신학회논문지
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• 제25권12호
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• pp.1935-1941
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• 2021

최근 다양한 분야에 적용되고 있는 딥러닝을 활용한 알고리즘 개발을 위해서는 양질의 풍부한 학습데이터가 갖춰져야 한다. 본 논문은 딥러닝 알고리즘 개발 시 활용도가 높고 정보 도출 시 유용한 광학 영상, 열화상, 음성 등의 생체신호 데이터를 동시에 수집하여 서버에 전송하는 생체신호 수집시스템을 제안한다. 수집기의 이동성을 높이기 위해 라즈베리 파이를 기반으로 제작하였고, 수집한 데이터는 무선 인터넷을 통해 서버로 전송한다. 복수의 수집기에서 동시에 데이터 수집이 가능하도록 피실험자별로 로그인을 위한 아이디를 부여했고, 이를 데이터베이스에 반영하여 데이터 관리가 용이하게 하였다. 제안하는 수집시스템의 활용방안을 보이기 위해 피로도 측정을 위한 생체신호 데이터 수집의 예시를 보인다.

• Genomics & Informatics
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• 제14권4호
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• pp.222-229
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• 2016

Kimchi is a traditional Korean food prepared by fermenting vegetables, such as Chinese cabbage and radishes, which are seasoned with various ingredients, including red pepper powder, garlic, ginger, green onion, fermented seafood (Jeotgal), and salt. The various unique microorganisms and bioactive components in kimchi show antioxidant activity and have been associated with an enhanced immune response, as well as anti-cancer and anti-diabetic effects. Red pepper inhibits decay due to microorganisms and prevents food from spoiling. The vast amount of biological information generated by academic and industrial research groups is reflected in a rapidly growing body of scientific literature and expanding data resources. However, the genome, biological pathway, and related disease data are insufficient to explain the health benefits of kimchi because of the varied and heterogeneous data types. Therefore, we have constructed an appropriate semantic data model based on an integrated food knowledge database and analyzed the functional and biological processes associated with kimchi in silico. This complex semantic network of several entities and connections was generalized to answer complex questions, and we demonstrated how specific disease pathways are related to kimchi consumption.

• Biotechnology and Bioprocess Engineering:BBE
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• 제10권5호
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• pp.418-424
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• 2005

The complexity of the biological system/biological systems has been fascinating and challenging for a long time. With the advent of mathematical tools with various omics technology, systems biology was born and is already ubiquitous in every area of biology and biotechnology. Microalgal biotechnology is no exception in this new trend. As tens of microalgal genomes become publicly available on the Internet, vast amounts of data from genomics, transcriptomics, and proteomics are reported everyday. Though there has not yet been enough data gathered on microalgal metabolomics, the in silica models for relatively simple cyanobacteria or for organelles, such as chloroplasts, will appear presently. With the help of systems biology, a more in-depth understanding of microalgae will be possible. Consequently, most industrially-interested microalgae can be metabolically redesigned/reconfigured as cell factories. Microalgae will be served as the hosts in white biotechnology.