• Journal of Embryo Transfer
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• v.28 no.3
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• pp.163-168
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• 2013

Embryo transfer (ET) technology is of high importance in modern cattle breeding programs. ET is one step in the process of removing one or more embryos from the reproductive tract of an outstanding donor female and transferring them to one or more recipient females. Embryos also can be produced in the laboratory via techniques such as in vitro fertilization (IVF). But the actual transfer of an embryo is only one step in a series of processes that may include some or all of the following: superovulation and insemination of donors, collection of embryos, isolation, evaluation and short-term storage of embryos, micromanipulation and genetic testing of embryos, freezing of embryos and embryo transfer. Cryopreservation and direct transfer of frozen-thawed embryos is common-place with pregnancy rates near that of fresh embryos. Polymerase chain reaction (PCR) technology is currently being used for sexing embryos, and this technology will be used for "embryo diagnostics" and "embryo genomics" in the future. Although, many limitations and problems remain to overcome, these and other new technologies promise to change livestock breeding drastically in the next decade.

• Korean Journal of Plant Tissue Culture
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• v.25 no.6
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• pp.501-505
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• 1998

Conditions for high frequency plant regeneration from cryopreserved embryogenic cell suspension cultures derived from hypocotyl explants of cucumber (Cucumis sativus L.) are described. Cells cryoprotected with a mixture of 2 M DMSO and 0.4 M sucrose exhibited a regeneration frequency of 85%. However, cells cryoprotected with different concentrations of glycerol showed no regeneration after cryopreservation. Pretreatment of cells in a high osmotic medium was not necessary to the process. Upon transfer to MS medium supplemented with 1 mg/L 2,4-dichlorophenoxyacetic acid, regenerated calli gave rise to numerous somatic embryos, then underwent development into plantlets.

• Journal of Plant Biotechnology
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• v.43 no.2
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• pp.164-173
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• 2016

To investigate the genetic basis of phenotypic differences, sequence variations were analyzed in 8 inbred watermelon lines by re-sequencing. The number of sequence variations differed depending on the chromosome. Only 12.9% of SNPs were found within genes, whereas the rest were detected in promoter or intergenic regions. SNP density analysis showed that there was a highly variable region at the end of chromosome 6, which is similar to previously published findings. However, this region with high SNP density did not show much variation between the lines. In contrast, highly conserved regions with a size of 6.5-10 Mb were found in chromosomes 10 and 11. Pathway analysis suggested that the DIMBOA (a natural antibiotic)-glucoside degradation pathway was significantly different between the lines, indicating that the eight lines may have different levels of pathogen resistance. Among the carbohydrate-related genes, the alpha-galactosidase gene was the most variable among the lines. Information from this study will be helpful in understanding the watermelon breeding process at the molecular level.

• Journal of Plant Biotechnology
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• v.36 no.3
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• pp.207-213
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• 2009

Starch serves not only as an energy source for plants, animals, and humans but also as an environmentally friendly alternative for fossil fuels. Progress in understanding of starch biosynthesis, and the isolation of many genes involved in this process have enabled the genetic modification of crops in a rational manner to produce novel starches with improved functionality. Starch is composed of two glucose polymers, amylose and amylopectin. The amylose and amylopectin ratio in starch affects its physical and physicochemical properties. Alteration in starch structure can be achieved by modifying genes encoding the enzymes responsible for starch biosynthesis and starch hydrolysis. Here, we describe recent findings concerning the starch modification in sweetpotato. Sweetpotato [Ipomoea batatas (L.) Lam] ranks seventh in annual production among food crops in the world as an important starch source. To develop transgenic sweetpotato plants with modifying starch composition, we constructed transformation vectors overexpressing granule bound starch synthase I and inhibiting amylopectin synthesis genes such as starch branching enzyme and isoamylase under the control of 35S promoter, respectively. Transformation of sweetpotato (cv. Yulmi) is in progress.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.3
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• pp.190-195
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• 2015

The detection of single nucleotide polymorphisms (SNPs) caused of mutant or genetic diseases is important to diagnosis and medicine. There are many methods have been proposed to detect SNPs. However the detection of SNPs is difficulty, because the difference of energy between complementary DNA (cDMA) and SNPs is very small. In this work, we detect the SNPs using field-effect transistors (FETs) which based on the detection of negative charge of DNA. We bias -0.3 V on the drain-source electrode at the target DNA hybridization process. The efficiency of hybridization and the amplitude of signal decrease by repulsive force between negative charge of DNA and negative bias on the electrode. However, the sensitivity of SNPs increases about 5 times from 1.7 mV to 8.7 mV.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.20
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• pp.8963-8967
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• 2014

Background: Colon cancer is one of the most common cancers worldwide. Apoptosis is a necessary physiological process for cell elimination which is very important both cellular homeostasis and cell proliferation and differantiation. Dysregulation can lead to uncontrolled cell growth and tumor development. Survivin, a member of the IAP family, plays a key role in promotion of cell proliferation as well as inhibition of apoptosis in cancer cells. The aim of this study was to investigate whether specific genetic polymorphisms of survivin could be associated with colon cancer development and progression in a Turkish population. Our study is the first to our knowledge to investigate the relationship between colon cancer risk and survivin gene polymorphisms. Materials and Methods: The relation between colon cancer and survivin -31 G/C (rs9904341), -241 C/T (rs17878467) and -625 C/G (rs8073069) polymorphism in promotor site of survivin gene associated with apoptosis was investigated using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Results: Individuals with -31C allele and CC genotype were found to have a higher risk of developing colon cancer (OR=13.4, p=0.01). The -241 CT genotype considerably increased the risk of colon cancer (OR=12.0, p=0.0001). However, there was no significant varaition of the survivin -625 C/G polymorphism among colon cancer patients and controls in our study. Conclusions: This study provides the first evidence that survivin -31 G/C and -241 C/T SNP significantly contribute to the risk of colon cancer in the Turkish population.

• Asia pacific journal of information systems
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• v.12 no.4
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• pp.193-213
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• 2002

The sales activity of most of small manufacturing companies is based on orders of buyers. The process of promotion, negotiation, receipt and selection of orders of the manufacturers is closely coupled with the load status of the production lines. The decision on whether to accept an order or not, or the selection of optimal order set among excessive orders is entirely dependent on the schedule of production lines. However, in the real world, since the production scheduling activity is mainly performed by human experts, most of small manufacturers are suffer from being unable to meet due dates, lack of rapid decision on the acceptance of new order. Recently, Internet based Electronic Commerce is recognized as one of the alternatives for strengthening sales power of small and medium companies. However, small and medium manufacturers can't adjust properly to the new environment because they are in short of money, personnel, and technology. To cope with this problem, this paper deals with development of part sales agent coupled with virtual manufacturing in Internet environment that consist of selection agent, advertisement agent, selection agent, negotiation agent, and virtual manufacturing system. This paper develops a time-bounded negotiation mechanism for small and medium manufacturers in agent-based automated negotiation between customers and negotiation agents. Furthermore, to select optimal order set maximized profit, we first formulate the order selection problem with mixed integer programming, but the computation time of IP is not acceptable for real world scale problem. To overcome this problem and dynamic nature of virtual manufacturing, we suggest a genetic algorithm approach, which shows a reasonable computation time for real world case and good incremental problem solving capability.

• Journal of Advanced Marine Engineering and Technology
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• v.37 no.8
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• pp.893-904
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• 2013

In this paper, a Kriging metamodel-based multi-objective optimization strategy in conjunction with an NSGA-II(non-dominated sorted genetic algorithm-II) has been employed to optimize the valve-plate shape of the axial piston pump utilizing 3D CFD simulations. The optimization process for minimum pressure ripple and maximum pump efficiency is composed of two steps; (1) CFD simulation of the piston pump operation with various combination of six parameters selected based on the optimization principle, and (2) applying a multi-objective optimization approach based on the NSGA-II using the CFD data set to evaluate the Pareto front. Our exploration shows that we can choose an optimal trade-off solution combination to reach a target efficiency of the axial piston pump with minimum pressure ripple.

• Structural Engineering and Mechanics
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• v.65 no.2
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• pp.173-181
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• 2018

In this paper, finite element (FE) model updating based on multi-objective optimization with the surrogate model for a steel plate girder bridge is investigated. Conventionally, FE model updating for bridge structures uses single-objective optimization with finite element analysis (FEA). In the case of the conventional method, computational burden occurs considerably because a lot of iteration are performed during the updating process. This issue can be addressed by replacing FEA with the surrogate model. The other problem is that the updating result from single-objective optimization depends on the condition of the weighting factors. Previous studies have used the trial-and-error strategy, genetic algorithm, or user's preference to obtain the most preferred model; but it needs considerable computation cost. In this study, the FE model updating method consisting of the surrogate model and multi-objective optimization, which can construct the Pareto-optimal front through a single run without considering the weighting factors, is proposed to overcome the limitations of the single-objective optimization. To verify the proposed method, the results of the proposed method are compared with those of the single-objective optimization. The comparison shows that the updated model from the multi-objective optimization is superior to the result of single-objective optimization in calculation time as well as the relative errors between the updated model and measurement.

• The KIPS Transactions:PartD
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• v.12D no.1 s.97
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• pp.51-62
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• 2005

After figuring out the function of an amino acid sequence, we can infer the function of the other amino acids that have similar sequence composition. Besides, it is possible that we alter protein whose function we know, into useful protein using genetic engineering method. In this process. an original protein amino sequence produces various protein sequences that have different sequence composition. Here, a systematic technique is needed to manage protein version sequences and reference data of those sequences. Thus, in this paper we proposed a technique of managing protein version sequences based on local sequence alignment and a technique of managing protein historical reference data using Trigger This method automatically determines the similarity between an original sequence and each version sequence while the protein version sequences are stored into database. When this technique is employed, the storage space that stores protein sequences is also reduced. After storing the historical information of protein and analyzing the change of protein sequence, we expect that a new useful protein and drug are able to be discovered based on analysis of version sequence.