• Korean Journal of Medicinal Crop Science
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• v.21 no.6
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• pp.455-460
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• 2013

Collected germplasms of five representative species belonging to Curcuma genus (C. longa, C. aromatica, C. zedoaria, C. phaeocaulis and C. kwangsiensis) were 52 samples from different farmhouse in Korea and China. To elucidate the genetic diversity among the species, 52 samples were analyzed by genomic fingerprinting method using amplified fragment length polymorphism (AFLP). AFLP results of 6 primer combinations were revealed 643 total DNA fragments and 349 polymorphic bands with the 54.3% ratio of polymorphism. In the analysis of coefficient similarity using unweight pair group method with arithmetic averages (UPGMA), 52 Curcuma germplasm lines were ranged from 0.60 to 0.99 and clustered distinct five groups according to the species and collected geographical levels. However, the result of principal coordinate analysis (PCA) by multi-variate analysis was shown significantly greater differences among species than geographical origins based on AFLP profiling data of these samples.

• Korean Journal of Medicinal Crop Science
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• v.13 no.3
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• pp.109-113
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• 2005

To analyze the genetic relationship 8 accessions of Ostericum koreanum Kitakawa, random amplified polymorphic DNA(RAPD) analysis was performed using 60 Operon primers. The 25 primers out of 60 random primers were amplified DNA by PCR using genomic DNA of O. koreanum. Eighty-five (49.1%) among 173 bands derived from 25 primers showed poly morphism, On the basis of similarity coefficient analysis by UPGMA, 8 accessions of O. koreanum Kitakawa could be classified into three groups at the similarity coefficient value of 0.71. Group I contained three accessions (Nam Gangwhal), Group II contained one accession (Nam Gangwhal) and Group III contained four accessions (Buk Gangwhal), The range of total genetic similarity coefficient value of 8 accessions of O. koreanum Kitakawa was $0.63{\sim}0.96$. Buk Gangwhal was flowered 18 to 26 days earlier than Nam Gangwhal, and Nam Gangwhal leaf stalk was thin and long as bolting rate high compared with Buk Gangwhal.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.28 no.5
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• pp.364-371
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• 2002

Many chemical compopunds are converted into reactive electrophilic metabolites by the oxidative(Phase I) enzymes, which are mainly cytochrome P-450 enzyme(CYPs). Phase II conjugating enzymes, such as glutathione S-transferase(GST), usually act as inactivation of enzymes. Genetic polymorphisms have been found to be associated with increased susceptibility to cancer of the lung, bladder, breast and colorectal. Many of the polymorphic genes of carcinogen metabolism show considerably different type of cancer among different ethnic groups as well as individuals within the same group. The aim of this study is (1) to establish the frequencies of genetic polymorphisms of GSTM1 and CYP1A1 in Korean oral squamous cell carcinoma(SCC), (2) to associate oral SCC with the risk of these genetic polymorphisms. The genetic polymorphisms of the GSTM1 and the CYP1A1 genes among 50 Korean oral SCC were analyzed using polymerase chain reaction(PCR). The results suggest that the homozygote and the mutant type of CYP1A1 MspI polymorphisms may be associated with genetic susceptibility to oral SCC in Korean. A combination of the GSTM1 null type with the homozygote(m1/m1), and the mutant(m2/m2) type of CYP1A1 MspI polymorphisms showed a relatively high risk of oral SCC in Korean. In the smoking group, the GSTM1 wild genotype may be the high risk factor of oral SCC in Korean. These data coincide with the hypothesis which states that different susceptibility to cancer of genetic polymorphisms exist among different ethnic group and different types of human cancer.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.1
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• pp.81-90
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• 2014

A Fairy Pitta is a bird known to breed only in mainland China, Taiwan, Japan and Korea and is listed as Vulnerable in the IUCN Red List. We carried out a DNA analysis to contribute to conserve the genetic diversity of Fairy Pitta. 32 samples were collected at Jeju Island, the Korean Peninsula and Taiwan from 2004 to 2013 and DNA was extracted from them and several sequences were amplified-it through PCR. And then we performed the population genetic analysis. We found there was a transversion between nucleotide sequences at CO1 gene, while there was no changes at Cyt-b gene. And we confirmed the polymorphism from two genes was caused from genetic drift not from selection. Through this analysis, the group within the Peninsula was found bigger than other two groups based on the analysis of CO1 gene, and the group from Taiwan was found bigger than other two groups through the analysis of Cyt-b gene. The population genetic structure of mitochondria gene of three group was showing CO1 gene had 5 haplotypes and Cyt-b gene had 6 haplotypes. Haplotype 2 in CO1 gene was found in three group and many individuals of samples had this haplotype. Like CO1 gene, haplotype 2 in Cyt-b gene was found in three group and was included in plenty of individuals. Other haplotypes were not overlaped and broke off among the three groups. To prevent from the extinction of Fairy Pitta and to obtain the genetic diversity, we need to compare with other regional group such as Japan, China and perform additional research in the non-breeding area.

• Proceedings of the Zoological Society Korea Conference
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• 2000.10a
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• pp.204.2-205
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• 2000

No Abstract, See Full Text

• Journal of Animal Science and Technology
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• v.46 no.1
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• pp.15-22
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• 2004

To investigate genetic features and the allele distribution of transferrin gene in three Cheju horse groups (group I, 137 horses of Jeju institute; group II, 107 horses of farms; group III, 89 racing horses) and three foreign breeds(l03 Thoroughbred, 10 Mongolian and 5 American Quarter horses), transferrin gene exons 13, 15, and 16 were analyzed by SSCP. The allele frequencies of transferrin gene of these groups and breeds were used to calculate genetic distances and to test population differentiations. The Fst values were 0.067 between Cheju horse groups I and II, 0.070 between Cheju horse groups I and group III, 0.091 between Cheju horse group I and Mongolian breed, and 0.189 between Cheju horse group I and Thoroughbred breed. Cheju horse group I showed significant population differentiation from other two Cheju horse groups and three foreign breeds while Cheju horse group III showed significant population differentiation only from Cheju horse group I and Thoroughbred breed(p <0.05). Results indicate that three Cheju horse groups showed population differentiation between each other, suggesting genetic heterogeneity of Cheju horses.

• Proceedings of the KIEE Conference
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• 2005.05a
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• pp.3-5
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• 2005

In this paper. we introduce a new structure of fuzzy-neural networks Fuzzy Set-based Polynomial Neural Networks (FSPNN). The two underlying design mechanisms of such networks involve genetic optimization and information granulation. The resulting constructs are Fuzzy Polynomial Neural Networks (FPNN) with fuzzy set-based polynomial neurons (FSPNs) regarded as their generic processing elements. First, we introduce a comprehensive design methodology (viz. a genetic optimization using Genetic Algorithms) to determine the optimal structure of the FSPNNs. This methodology hinges on the extended Group Method of Data Handling (GMDH) and fuzzy set-based rules. It concerns FSPNN-related parameters such as the number of input variables, the order of the polynomial, the number of membership functions, and a collection of a specific subset of input variables realized through the mechanism of genetic optimization. Second, the fuzzy rules used in the networks exploit the notion of information granules defined over systems variables and formed through the process of information granulation. This granulation is realized with the aid of the hard C-Means clustering (HCM). The performance of the network is quantified through experimentation in which we use a number of modeling benchmarks already experimented with in the realm of fuzzy or neurofuzzy modeling.

• Asian-Australasian Journal of Animal Sciences
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• v.21 no.6
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• pp.776-783
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• 2008

In this study, we investigated the genetic diversity and phylogenetic relationship of six duck populations by employing the genetic polymorphisms of 20 microsatellites. The parameters used in this study included number of alleles, average effective numbers of alleles (E) and average rates of heterozygosity of each population. The results showed that all the microsatellite loci were highly polymorphic except that the locus AJ515896 in Muscovy duck was 0. The average PIC (0.762), average h (0.7843) and average E (5.261) of the six duck populations were all high, indicating that the gene polymorphisms and genetic diversity were high. The test of Hardy-Weinberg equilibrium showed that the six populations in this study were all in Hardy-Weinberg disequilibrium. The F-statistic analysis results showed the range of FST was from 0.0205 (AJ515895) to 0.2558 (AJ515896). The mean FST was 0.0936. Phylogenetic study revealed that Peking duck (Z1 and Z4), Shaoxing duck, Cherry Valley duck and Aobaixing duck were clustered in one group, while the Muscovy duck was clustered in one group alone. The phylogenetic relationships among different populations were in accordance with their breeding history and distribution. Our data suggested that the 20 microsatellite loci were effective markers for analysis of genetic relationships among duck populations.

• Structural Engineering and Mechanics
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• v.47 no.5
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• pp.729-740
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• 2013

This paper addresses the structural design of the front end of Siemens ER24 locomotive body. The steel structure of the frontend is replaced with composite. Optimization of the composite lay-up is performed using Genetic Algorithms. Initially an optimized single design for the entire structure is presented. Then a more refined optimum is developed by considering the separate optimization of 7 separate regions of the structure. Significant savings in the weight of the structure are achieved.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.179-187
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• 2005

In this paper, we consider the problem of regrouping a number of service sites into a smaller number of service sites called centers. Each service site is represented as a point in the plane and has an associated value of service demand. We aim to group the sites so that each group has the balanced service demand and the sum of distances from the sites in the group to their corresponding center is minimized. To solve this problem, we propose a hybrid genetic algorithm that is combined with Voronoi diagrams. We provide a variety of experimental results by changing the weights of the two factors: service demands and distances. Our hybrid algorithm finds better solutions in a shorter computation time in comparison with a pure genetic algorithm.