• The Plant Pathology Journal
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• v.23 no.4
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• pp.272-280
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• 2007

Isolates of Cucumber mosaic virus (CMV) collected in Korea, were compared with their pathological features in tobacco and zucchini squash. Full-length cDNA clone of RNA3 was generated by using long-distance RT-PCR. Transcript RNA3 from the cDNA clone was inoculated onto host plants with transcripts RNA1 and RNA2 of Fny strain, generating RNA3-pseudorecombinant CMV. Timing and severity of systemic symptom was not significantly different among the pseudorecombinant CMVs in tobacco, compared with strains Fny-CMV and Pf-CMV. However, the pseudorecombinant CMVs induced two different systemic symptoms (mosaic vs. chlorotic spot) in zucchini squash. Based on symptom induction, the pseudorecombinant CMVs were categorized into two classes. The severity and timing of symptoms were correlated with viral RNA accumulations in systemic leaves of zucchini squash, suggesting that different kinetics of virus movement associated with CMV proteins are crucial for systemic infection and symptom development in zucchini squash. The analysis of movement proteins (MP) of CMV strains showed high sequence homology, but the differences of several amino acids were found in the C-terminal region between Class-I-CMV and Class-II-CMV. The analysis of coat proteins (CP) showed that the CMV isolates tested belonged to CMV subgroup I and the viruses shared overall 87-99% sequence identity in their genomes. Phylogenetic analysis of MP and CP suggested that biological properties of Korean CMV isolates have relationships associated with host species.

• Journal of Species Research
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• v.9 no.4
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• pp.346-361
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• 2020

In the project of a comprehensive investigation of indigenous prokaryotic species in Korea, a total of 39 bacterial strains phylogenetically belonging to the classes Betaproteobacteria and Gammaproteobacteria were isolated from various environmental sources such as soil, cultivated soil, sludge, seawater, marine sediment, algae, human, tree, moss, tidal flat, beach sand and lagoon. Phylogenetic analysis based on 16S rRNA gene sequences revealed that 39 strains showed the high sequence similarities (≥98.7%) to the closest type strains and formed robust phylogenetic clades with closely related species in the classes Betaproteobacteria and Gammaproteobacteria. In the present study, we report 14 species of 9 genera of four families of two orders in the class Betaproteobacteria and 25 species of 21 genera of 15 families of eight orders in the class Gammaproteobacteria, which have not been reported in Korea. Morphological, biochemical, and physiological characteristics, isolation sources, and NIBR deposit numbers are described in the species descriptions.

• The Mathematical Education
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• v.58 no.3
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• pp.383-401
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• 2019

This study started with the idea that it is necessary to focus on common concepts and ideas among the subjects when conducting integrated education in high school. This is a preliminary study for developing materials that can be taught in mathematics in the context of already learning scientific concepts in high school. For this purpose, Mendel 's law of genetics was studied among the contents of biological subjects which are known to have relatively little connection with mathematics. The more common links between the two subjects are, the better, in order to integrate math and other subjects and develop materials for teaching. Therefore, in this study, we investigated not only the probability domain but also the concept of statistical domain. We have been wondering if there is a more abundant idea to connect between 'Mendel's law' and 'probability and statistics'. Through these anxieties, we could find that concepts such as 'likely equality' and 'permutation and combination' including 'a large number of laws' can be a link between two subjects. Based on this, we were able to develop class materials that correspond to classes. This study is expected to help with research related to development of integrated education support materials, focusing on mathematics.

• Journal of Biomedical Engineering Research
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• v.44 no.5
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• pp.315-323
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• 2023

The objective of this study is to identify the selective application targets for reporting on details of supply of class 1 and 2 medical devices as part of the improvement of the reports on details of supply of medical device system, and to analyze its effectiveness. Therapeutic materials covered by health insurance and secondhand medical devices were chosen based on the transparency of health insurance coverage and the management of medical device distribution. As a result, approximately 85% of groups can be excluded from the reporting requirements compared to reporting all items under Class 1 and 2 medical devices. This is expected to enhance the efficiency of supply reporting tasks. Additionally, the information on supply details managed by the regulatory authority can be utilized for statistical analysis and periodic monitoring, serving as fundamental data for the development of medical device-related policies and research in the field of medical devices.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.35-42
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• 2024

Biomedical engineering is a discipline that diagnoses and treats human diseases using engineering techniques based on medical and biological understanding. Proper biomedical engineering education requires education on medical terminology, human anatomy, and human physiology, but students have a preconceived notion that these basic medical subjects are subjects to be memorized. In order to eliminate these students' preconceptions, various educational methods must be developed so that students can easily access basic medical subjects. In this paper, we present a method to increase learning effectiveness by introducing observation practice of a human anatomical model to the medical terminology subject. The half-body model of the human body is a form in which various organs are assembled and can be observed by disassembling them one by one. This observation exercise consisted of questions about the organs of the head, neck, chest, and abdomen, with students working in groups to find answers. After the practice, students evaluated that this practice motivated them to learn and made it easier to understand the lecture.

• Journal of Life Science
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• v.34 no.7
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• pp.465-475
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• 2024

Lactiplantibacillus plantarum K9 is a probiotic strain that can be utilized from various bioactive substances isolated from Protaetia brevitarsis seulensis larvae. In this study, a genetic analysis of L. plantarum K9 revealed the existence of a bacterial chromosome and three plasmids. The glycolysis pathway and pentose phosphate pathway were examined for their normal functioning via an analysis of the core metabolic pathways of L. plantarum K9. Since the key enzymes, fluctose-1,6-bisphospatase (EC: 3.1.3.11) and 6-phosphogluconate dehydratase (EC: 4.2.1.12)/2-keto-deoxy-6-phosphogluconate (KDPG) aldolase (EC: 4.2.1.55), of gluconeogenesis and the ED pathway were not identified from the L. plantarum K9 genome, we suggest that gluconeogenesis and the ED pathway are not performed in L. plantarum K9. Additionally, while some enzymes, related to fumarate and malate biosyntheses, involved in the TCA cycle were identified from L. plantarum K9, the enzymes associated with the remaining TCA cycle were absent, indicating that the TCA cycle cannot proceed. Meanwhile, based on our findings, we propose that the oxidative electron transport system performs class IIB-type (bd-type) electron transfer. In summary, we assert that L. plantarum K9 performs homolactic fermentation, executes gluconeogenesis and the pentose phosphate pathway, and carries out energy metabolism through the class IIB-type oxidative electron transport system. Therefore, we suggest that L. plantarum K9 has relatively high lactic acid production, and that it has excellent antibacterial activity, as a result, compared to other lactic acid bacterial strains. Moreover, we speculate that L. plantarum K9 has an oxidative electron transport capability, indicating that it is highly resistant to oxygen and suggesting that it has fine cultivation characteristics, which collectively make it highly suitable for use as a probiotic.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.1
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• pp.33-40
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• 2012

This paper proposes a method to implement biological early warning systems(BEWS). This system generates periodically data event using a monitoring daemon and it extracts the feature parameters from this data sets. The feature parameters are derived with 6 variables, x/y coordinates, distance, absolute distance, angle, and fractal dimension. Specially by using the fractal dimension theory, the proposed algorithm define the input features represent the organism characteristics in non-toxic or toxic environment. And to find a moderate algorithm for learning the extracted feature data, the system uses an extended learning algorithm(UChoo) popularly used in machine learning. And this algorithm includes a learning method with the extended data expression to overcome the BEWS environment which the feature sets added periodically by a monitoring daemon. In this algorithm, decision tree classifier define class distribution information using the weight parameter in the extended data expression. Experimental results show that the proposed BEWS is available for environmental toxicity detection.

• Journal of Embryo Transfer
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• v.23 no.4
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• pp.229-237
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• 2008

Recently, parabens have been believed to act as xenoestrogens, an identified class of endocrine disruptors (EDs). These environmental compounds are the most well-known as preservatives in many commercial products, including food, cosmetics and pharmaceutical industries. It has been demonstrated that the human health risks of parabens result from a long-term exposure to skin in which this chemical group is rapidly absorbed through the skin. On the other hand, parabens are also completely absorbed from gastrointestinal tract. It has reported that these substances possess several biological effects in which inhibitory property involved in membrane transports and mitochondrial functions is considered to be important for their action. Testing of parabens has revealed that estrogen-like activities of these chemicals are much less potent than natural estrogen, $17{\beta}$ estradiol (E2). Additionally, the estrogenicity of individual paraben- compounds is distinct depending upon their biochemical structure. Recent findings of paraben-estrogenic activities have shown that these compounds may affect breast cancer incidence in women, suggesting adverse ecological outcomes of this environmental group on human and animal health. Although the biological and toxicological effects of parabens have been demonstrated in many previous studies, possible mechanism(s) of their action are required to be explored in order to bring the better understanding in the detrimental impacts of parabens in human and wildlife. There have several different types of parabens which are the most widely used as preservatives. These include methyl-paraben, ethylparaben, propylparaben, butylparaben and p-hydroxybenzoic acid, a major metabolite of parabens. In this review, we summarize current database based on in vitro and in vivo assays for estrogenic activities and health risk assessment of paraben- EDs which have been published previously.

• Applied Biological Chemistry
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• v.51 no.2
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• pp.119-123
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• 2008

3D-QSARs (3 dimensional quantitative structrue-activity relationships) on the inhibition activities of 3-substituted-5,5'-diphenylimidazolidine-2,4-dione derivatives (1-22) against FAAH (fatty acid amide hydrolase) were studied quantitatively using CoMFA (comparative molecular field analysis) and CoMSIA (comparative molecular similarity indice analysis) methods. The statistical results of the CoMFA 1A and CoMSIA 2F model are better predictability and fitness. And also, the designed X=I, Y=$N_{2}^{+}$-substituent (P1: $Pred.pI_{50}$=6.55), according to the contour maps with information of the two models, showed the most inhibition activity against FAAH.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.9
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• pp.1979-1986
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• 2010

Biological early warning system detects toxicity by looking at behavior of organisms in water. The system uses classifier for judgement about existence and amount of toxicity in water. Boosting algorithm is one of possible application method for improving performance in a classifier. Boosting repetitively change training example set by focusing on difficult examples in basic classifier. As a result, prediction performance is improved for the events which are difficult to classify, but the information contained in the events which can be easily classified are discarded. In this paper, an incremental learning method to overcome this shortcoming is proposed by using the extended data expression. In this algorithm, decision tree classifier define class distribution information using the weight parameter in the extended data expression by exploiting the necessary information not only from the well classified, but also from the weakly classified events. Experimental results show that the new algorithm outperforms the former Learn++ method without using the weight parameter.