• Journal of the Society of Disaster Information
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• v.9 no.1
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• pp.65-77
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• 2013

There are many institutes which manage the disaster protection resources in their system. The system of the institutes is not mutually compatible, because there is no standard framework of the classification and identification for the disaster management resources. NIMS of FEMA defines the classification and identification framework for the incident resources. All incidents management system of USA including IRIS and webEOC follows the standard resources framework. The aim of the classification and identification of the resources provides the resources list for the disaster and supports to find the resources information efficiently. In this study, we defined the classification and identification of the resources considering the compatibility with the international standard and the field requirements.

• Food Science of Animal Resources
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• v.26 no.3
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• pp.375-379
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• 2006

Food labeling regulations require that the meat species in various meat products are accurately declared to the consumer. Substitution or adulteration of costly meat with a cheaper one is one of the most common problems in the meat industry. In this study, PCR-restriction fragment length polymorphism(RFLP) method of the mitochondrial cytochrome b(mt cyt b) gene has been applied for identification of the origin of six mammalian meat species(beef, port horse, goat, mutton and deer) and three poultry meat species(chicken, turkey and duck) as raw materials for meat products. PCR was used to amplify a variable region of mt cyt b gene. Meat species differentiation was determined by digestion of the amplified products with a 359 bp fragment using HaeIII and HinfI restriction enzymes, which generated species-specific RFLP patterns. This PCR-RFLP DNA marker of mt cyt b gene could be very useful for the accurate and reliable identification and discrimination of animal meat species in routine analysis.

• Asian-Australasian Journal of Animal Sciences
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• v.20 no.1
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• pp.25-30
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• 2007

The capability of microsatellite markers for individual identification and their potential for breed assignment of individuals was evaluated in two Indian horse breeds. The strength of these individual assignment methods was also evaluated by increasing the number of loci in increments of five. The probability of identity of two random horses from the two breeds at all twenty five studied loci was as low as $1.08{\times}10^{-32}$ showing their suitability to distinguish between individual horses and their products. In the phylogenetic approach for individual assignment using Nei's genetic distances, 10.81% of horses associated with breed other than the major cluster of the source breed horses when all twenty five microsatellite loci were implemented. Similar results were obtained when the maximum likelihood approach for individual assignment was used. Based on these results it is proposed that, although microsatellite markers may prove very useful for individual identification, their utility for breed assignment of horses needs further evaluation.

• Journal of Microbiology and Biotechnology
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• v.29 no.4
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• pp.548-557
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• 2019

Staphylococcus species have a ubiquitous habitat in a wide range of foods, thus the ability to identify staphylococci at the species level is critical in the food industry. In this study, we performed rapid identification of Staphylococcus species using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight mass spectrometry (MALDI-TOF MS). MALDI-TOF MS was evaluated for the identification of Staphylococcus reference strains (n = 19) and isolates (n = 96) from various foods with consideration for the impact of sample preparation methods and incubation period. Additionally, the spectra of isolated Staphylococcus strains were analyzed using principal component analysis (PCA) and a main spectra profile (MSP)-based dendrogram. MALDI-TOF MS accurately identified Staphylococcus reference strains and isolated strains: the highest performance was by the EX method (83.3~89.5% accuracy) at species level identification (EDT, 70.3~78.9% accuracy; DT, less than 46.3~63.2% accuracy) of 24-h cultured colonies. Identification results at the genus level were 100% accurate at EDT, EX sample preparation and 24-h incubation time. On the other hand, the DT method showed relatively low identification accuracy in all extraction methods and incubation times. The analyzed spectra and MSP-based dendrogram showed that the isolated Staphylococcus strains were characterized at the species level. The performance analysis of MALDI-TOF MS shows the method has the potential ability to discriminate between Staphylococcus species from foods in Korea. This study provides valuable information that MALDI-TOF MS can be applied to monitor microbial populations and pathogenic bacteria in the food industry thereby contributing to food safety.

• The Korea Journal of Herbology
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• v.21 no.2
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• pp.129-133
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• 2006

Objectives : Cervus elaphus species are some of the most medicinally important genera in the Oriental medicine. This study was performed to determine if Cenvus elaphus species could be identified by sequencing analysis and to verify Basic Local Alignment Search Tool (BLAST) search, which was used to assess genetic identification. Methods : The DNAs of Cervus elaphus species were extracted, amplified by PCR, and sequenced. The DNAs of Cervus species were identified by BLAST search in website. Results : By BLAST search one of Cervus elaphus species was identified as Cervus elaphussibericus but the other was identified as Cervus elaphus nelsoni. This work showed that identification can efficiently be performed by BLAST search. Conclusion : These results suggest that sequencing following BLAST search might be able to provide the identification of Cervus elaphus species.

• Journal of Microbiology and Biotechnology
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• v.25 no.9
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• pp.1537-1541
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• 2015

Previous detection methods for Citrobacter are considered time consuming and laborious. In this study, we have developed a rapid and accurate detection method for Citrobacter species in pork products, using matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS). A total of 35 Citrobacter strains were isolated from 30 pork products and identified by both MALDI-TOF MS and 16S rRNA gene sequencing approaches. All isolates were identified to the species level by the MALDI-TOF MS, while 16S rRNA gene sequencing results could not discriminate them clearly. These results confirmed that MALDITOF MS is a more accurate and rapid detection method for the identification of Citrobacter species.

• The KIPS Transactions:PartD
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• v.15D no.6
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• pp.861-872
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• 2008

As rapid development of computing environment, field of automatic identification research which interoperates with various physical objects and digital information is making active progress. Although the automatic identification system is widely used in various industries, application of automatic identification system in the field of medical health doesn't reach other industry. Therefore research in medical health supplies such as medical equipment, blood, human tissues and etc is on progress. This paper suggests the application of automatic identification technology for biological resources which is core research material in human genome research. First of all, user environment requirements for the introduction of automatic identification technology are defined and through the experiments and research, barcode is selected as a suitable tag interface. Data Matrix which is 2D barcode symbology is chosen and data schema is designed based on UCC/EAN-128 for international defecto standard. To showapplicability of proposed method when applied to actual environment, we developed, tested and evaluated application as following methods. Experiments of barcode read time at 196 and 75 below zero which is actual temperature where biological resources are preserved resulted read speed of average of 1.6 second and the data schema satisfies requirements for the biological resources application. Therefore suggested method can provide data reliability as well as rapid input of data in biological resources information processing.

• Food Science of Animal Resources
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• v.30 no.3
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• pp.403-409
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• 2010

Accurate methods for the identification of closely related species or breeds in raw and processed meats must be developed in order to protect both consumers and producers from mislabeling and fraud. This paper describes the development of DNA markers for the discrimination and improvement of Korean native pig (KNP) meat. The KIT gene is related to pig coat color and is often used as a candidate marker. A 538 bp fragment comprising intron 19 of the pig KIT gene was amplified by PCR using specific primers, after which the PCR amplicons of a number of meat samples from KNP and three major improved breeds (Landrace, Duroc and Yorkshire) were sequenced in order to find a nucleotide region suitable for PCR-RFLP analysis. Sequence data showed the presence of two nucleotide substitutions, g.276G>A and g.295A>C, between KNP and the improved pig breeds. Digestion of KIT amplicons with AccII enzyme generated characteristic PCR-RFLP profiles that allowed discrimination between meats from KNP and improved pig. KNP showed three visible DNA bands of 264/249, 199, and 75 bp, whereas DNA bands of 249, 199, and 90 bp were detected in the three improved pig breeds. Therefore, the 75 bp DNA fragment was specific only to KNP, whereas the 90 bp DNA fragment was specific to the improved breeds. The breed-specific DNA markers reported here that target the KIT gene could be useful for the identification of KNP meat from improved pig meats, thus contributing to the prevention of falsified breed labeling.

• The Journal of Korean Medicine
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• v.27 no.2 s.66
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• pp.225-231
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• 2006

Objectives : This study was performed to determine if unknown species of antler samples could be identified by genetic distance methods. Methods : The DNAs of 4 antler samples were extracted, amplified by PCR, and sequenced. The DNAs of antlers were identified by genetic distance. Genetic distance method was made using MEGA software (Molecular Evolutionary Genetics Analysis, 3.1). Results : By genetic distance methods, all 4 antler samples were closest to Cervus elaphus nelsoni among Cervus species. Conclusion : These results suggest that genetic distance methods might be used as a tool for the identification of Cervus species.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.375-384
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• 2007

This paper describes a method for automatic acquisition of wide-coverage treebank-based deep linguistic resources for Japanese, as part of a project on treebank-based induction of multilingual resources in the framework of Lexical-Functional Grammar (LFG). We automatically annotate LFG f-structure functional equations (i.e. labelled dependencies) to the Kyoto Text Corpus version 4.0 (KTC4) (Kurohashi and Nagao 1997) and the output of of Kurohashi-Nagao Parser (KNP) (Kurohashi and Nagao 1998), a dependency parser for Japanese. The original KTC4 and KNP provide unlabelled dependencies. Our method also includes zero pronoun identification. The performance of the f-structure annotation algorithm with zero-pronoun identification for KTC4 is evaluated against a manually-corrected Gold Standard of 500 sentences randomly chosen from KTC4 and results in a pred-only dependency f-score of 94.72%. The parsing experiments on KNP output yield a pred-only dependency f-score of 82.08%.