• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.275-283
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• 2018

Cancer show distinct pattern of gene expression when it is compared to normal. This difference results malignant characteristic of cancer. Many cancer drugs are targeting this difference so that it can selectively kill cancer cells. One of the recent demand for personalized treating cancer is retrieving normal tissue from a patient so that the gene expression difference between cancer and normal be assessed. However, in most clinical situation it is hard to retrieve normal tissue from a patient. This is because biopsy of normal tissues may cause damage to the organ function or a risk of infection or side effect what a patient to take. Thus, there is a challenge to estimate normal cell's gene expression where cancers are originated from without taking additional biopsy. In this paper, we propose in-silico based prediction of normal cell's gene expression from gene expression data of a tumor sample. We call this challenge as reverting the cancer into normal. We divided this challenge into two parts. The first part is making a generator that is able to fool a pretrained discriminator. Pretrained discriminator is from the training of public data (9,601 cancers, 7,240 normals) which shows 0.997 of accuracy to discriminate if a given gene expression pattern is cancer or normal. Deceiving this pretrained discriminator means our method is capable of generating very normal-like gene expression data. The second part of the challenge is to address whether generated normal is similar to true reverse form of the input cancer data. We used, cycle-consistent adversarial networks to approach our challenges, since this network is capable of translating one domain to the other while maintaining original domain's feature and at the same time adding the new domain's feature. We evaluated that, if we put cancer data into a cycle-consistent adversarial network, it could retain most of the information from the input (cancer) and at the same time change the data into normal. We also evaluated if this generated gene expression of normal tissue would be the biological reverse form of the gene expression of cancer used as an input.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.15 no.2
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• pp.229-239
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• 2008

Purpose: A phenomenology study was conducted to provide in-depth data to help in the understanding of young women who have become unmarried mothers. Method: In-depth interviews were done with 11 unmarried mothers from August 2002 to September 2003 Data were recorded and analyzed by Colaizzi method. Result: Significant statements consisted of 5 categories with 12 theme clusters accompanying each category. The categories were: "Sex as a tool" which included living and connections, "Sex as an expression of her desire" which included wanting and expression of love, "Sex to be dominated" which included significance, domination and negative aspects of sex, "Moral sex" which included secrecy, responsibility and connections with life, "Sex as a sense of identity" which included expression of gender and association with peer group. Conclusion: The results of this study will help indicate directions for care of unmarried mother, which should be based on a deep understanding of their personal perception of sexuality. Also, it can be utilized as basic materials for development of sex educational programs to prevent repeat pregnancies in unmarried women and information on consultion with unmarried mothers.

• KSBB Journal
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• v.20 no.4
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• pp.323-327
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• 2005

RT-PCR is an useful method to investigate the expression of target gene as detection tools. Although RT-PCR is the powerful detection method for tissues, it was difficult to amplify the target gene product using the single cell. To clarify the expression level of the genes related to Parkinson's disease (PD), I performed the laser dissection of single cell from Substantia nigra. I examined the mRNA expression level in the dopaminergic neuron isolated from the PD patients by the single cell RT-PCR method. It is known that tyrosine hydroxylase (TH), DOPA decarboxylase (DDC) are involved in biosynthesis of the catecholamine such as dopamine. Little has been known about the gene expression features of these enzymes in single dopaminergic neuron. I could detect the specific gene products in single cell level. The different expression was observed in PD-related gene products from the single neuron of PD patients. Interestingly, TH gene expression was significantly decreased with comparing the ratio of decrease in other PD-related genes. Hence, I represented data that indicate the RT-PCR method described in this report is an effective method in detecting a specific single-cell mRNA level related with diseases.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.385-388
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• 2000

The computation of a terminal-pair reliability is started with a Boolean sum of products expression corresponding to simple paths of the pair of nodes. This expression is then transformed into another equivalent expression to be a Sum of Disjoint Products form. The terminal reliability can then be obtained in a straightforward manner from the Sum of Disjoint Products form. In this paper, we proposed an efficient method to obtain reliability expressions for calculating multiple K terminal-pairs reliability between terminal-pairs of nodes of computers of complex networks. Actual programming results show that the new method is superior with regard to computational efficiency, especially for computing the reliability of multiple terminals.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.1188-1203
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• 2020

The human expression contains a lot of information that can be used to detect complex conditions such as pain and fatigue. After deep learning became the mainstream method, the traditional feature extraction method no longer has advantages. However, in order to achieve higher accuracy, researchers continue to stack the number of layers of the neural network, which makes the real-time performance of the model weak. Therefore, this paper proposed an expression recognition framework based on densely concatenated convolutional neural networks to balance accuracy and latency and apply it to humanoid robots. The techniques of feature reuse and parameter compression in the framework improved the learning ability of the model and greatly reduced the parameters. Experiments showed that the proposed model can reduce tens of times the parameters at the expense of little accuracy.

• The Research Journal of the Costume Culture
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• v.12 no.5
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• pp.721-736
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• 2004

The aim of this study is to clarify aesthetic values and sociocultural meanings that reappears in contemporary fashion. In order to analyze aesthetic values and symbolic meanings of body decoration, I examined the concepts and expression methods of the body decoration. Also, analyzed external characteristics of expression and its internal meanings that applied in modern fashion. The expressions of body decoration represented in contemporary fashion are classified into direct and indirect methods. The direct method is expressed by tattoos, piercing, henna, make-up and body painting. And, indirect method is expressed by see-through look, body-conscious look and accessories that were utilized its patterns and the material adaptation methods. Such expression of body decoration in the modern fashion was represented into grotesque images and erotic images. The characteristics of grotesque images are abnormal state, hateful animal image and distorted or transformed body and the internal meanings are the pursuit of primitive, exoticism, the pursuit of playfulness, and resistance. The characteristics of erotic images are an exposure of body, see through, body-conscious and androgynous look and the internal meanings are the self-intoxication, naturalism and sexual pleasure.

• Animal cells and systems
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• v.10 no.2
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• pp.73-77
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• 2006

Caspase-11 has been known as a dual regulator of apoptosis and inflammatory response. An unusual feature of caspase-11 is that its expression is induced by apoptotic or proinflammatory stimuli. Utilizing these unusual features of caspase-11, we have developed a simple and sensitive assay method to screen pro- or anti-apoptotic/inflammatory molecules. To develop this assay method, we generated a reporter construct where GFP expression is regulated by caspase-11 promoter. When several types of cultured cells were transfected with this reporter construct and subsequently treated with various apoptotic or proinflammatory molecules, expression of GFP by the activation of caspase-11 promoter was easily detected by fluorescence microscopy or spectrofluorometry. In addition, a reduction of the GFP fluorescence was detected when an agent reported to suppress caspase-11 induction was applied. These results suggest that our reporter system can be used to screen pro- or anti-apoptotic/inflammatory molecules.

• Biomedical Science Letters
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• v.18 no.1
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• pp.29-34
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• 2012

Streptomycetes are gram-positive filamentous bacteria that are well-known for producing a vast array of bioactive compounds, including more than 70 % of commercially important antibiotics. For the research about Streptomyces sp., the protoplast and electroporation transformation method have been the general techniques for the construction of transformants. However, these techniques have low efficiency and are time-consuming. Another option is intergenic conjugation, which is used for DNA transfer using methylation-deficient E. coli as a DNA donor to avoid the methylated-DNA-dependent restriction systems of actinomycetes. This conjugation method has been widely improved and applied to many other actinomycetes. In this research, an effective transformation procedure for the construction of expression vector by using gateway system was established to avoid limit of restriction enzyme site for cloning of target gene based on transconjugation by Escherichia coli ET12567/pUZ8002 with a pSET152 integration vector.

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.86-95
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• 2020

There is a unique method of musical expression in the nature documentary. The expression method is Mickey Mousing technique, which expresses the movement of animals with music. The Mickey mousing technique can also be used in other types of documentaries, but it is most prominently used in nature documentaries. The Mickey Mousing technique cannot be used in any field other than music composition, because the composer should describe the movement of animals by playing music to match the animal's movements exactly. It is also because they have to play the instrument separately according to the sound source. In this study, we examined the nature documentaries broadcast by KBS over the last five years and analyzed the cases of Mickey Mousing technique. Therefore, we obtained research results that the Mickey Mousing technique is necessary and that the music composition is also necessary as a background music of nature documentaries.

• Journal of Ocean Engineering and Technology
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• v.15 no.4
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• pp.108-114
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• 2001

Petri nets have been introduced as a powerful analyzing and design tool for the discrete systems such as sequential control systems. However, one of the important problems in its applications is that the model can be analyzed hardly when we deal with large scale systems because of increase of the number of Petri net components. To overcome this problem, some methods for dividing or reducing of Petri net have been suggested. In this paper, an approach for hierarchical expression of Petri net based on Sequential function Chart(SFC) and Bottom Up oriented Mehodology(BUM) is proposed. Especially, some definitions and rules are defined in order to divide and compose sub Petri nets. A measuring tank system will be described as a typical kind of discrete systems and modeled by some sub Petri nets based on the SFC and BUM by the proposed method in this paper.