• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2009년도 추계학술대회 논문집
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• pp.95-96
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• 2009

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2009년도 추계학술대회 논문집
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• pp.97-98
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• 2009

• 한국동물학회:학술대회논문집
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• 한국동물학회 1999년도 한국생물과학협회 학술발표대회
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• pp.182.2-182
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• 1999

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• 한국지능시스템학회논문지
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• 제10권5호
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• pp.487-496
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• 2000

본 논문에서는, HCM 클러스러팅 방법과 유전자 알고리즘을 이용하여 다중 FNN 모델을 동정하고 최적화 한다. 제안된 다중 FNN은 Yamakawa의 FNN을 기본으로 하며, 퍼지 추론 방법으로 간략 추론을, 학습으로는 오류 역전파 알고리즘을 사용한다. 다중 FNN 모델의 구조와 파라미터를 동정하기 위해 HCM 클러스터링과 유전자 알고리즘을 사용한다. 여기서, 시스템 모델링을 위해 데이터 전처리 기능을 수행하는 HCM클러스터링 방법은 I/O 프로세서 공정 데이터를 이용하여 입출력 공간분할에 의한 다중 FNN 구조를 결정하기 위해 사용된다. 또한 유전자 알고리즘을 사용하여 멤버쉽함수의 정점, 학습율, 모멘텀 계수와 같은 다중 FNN 모델의 파라미터들을 동조한다. 모델의 근사화와 일반화 능력 사이에 합히적 균형을 얻기 위해 하중계수를 가진 합성 성능지수를 사용한다. 이 합성 성능지수는 근사화 및 예측 능력사이의 상호 균형과 의존성을 고려한 하중계수를 가진 합성 목적함수를 의미한다. 데이터 개수, 비선형성의 정도에 의존하는 이 합성 목적함수의 하중계수의 선택, 조절을 통하여 최적의 다중 FNN 모델을 설계하는 것이 유용하고 효과적임을 보인다. 제안된 모델의 성능 평가를 위하여 가스로 공정의 시계열 데이터와 비선형 함수의 수치 데이터를 사용한다.

• Asian-Australasian Journal of Animal Sciences
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• 제13권5호
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• pp.587-594
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• 2000

At present embryonic stem (ES) cells with confirmed pluripotential properties are only available in the mouse. Recently, we were able to isolate, culture and genetically transform primordial germ cell (PGC)-derived cells from pig embryos and demonstrate their ability to contribute to chimera development in the pig. In order to determine whether the system we developed could be used to isolate embryonic germ (EG) cells from other mammalian species, we placed isolated PGCs from cattle, goats, rabbits and rats in culture. Briefly, PGCs were isolated from fetuses of cow (day 30-50), goat (day 25), rabbit (day 15-18) and rat (day 11-12), and plated on STO feeder cells in Dulbecco's modified Eagle's medium (DMEM): Ham's F10 medium (1:1) supplemented with 0.01 mM nonessential amino acids, 2 mM L-glutamine, 0.1 mM $\beta$ - mercaptoethnol, soluble recombinant human stem cell factor (SCF; 40ng/ml), human basic fibroblast growth factor (bFGF; 20ng/ml) and human leukemia inhibitory factor (LIF; 20ng/ml). For maintenance of the cells, colonies were passed to fresh feeders every 7-10 days. In all species tested, we were able to obtain and maintain colonies with ES-like morphology. Their developmental potential was tested by alkaline phosphatase (AP) staining and in vitro differentiation assay. For genetic transformation, cells were electroporated with a construct containing the green fluorescent protein (GFP) under the control of the cytomegalovirus (CMV) promoter. GFP-expressing colonies were detected in cattle, rabbits and rats. These results suggest that PGC-derived cells from cattle, goats, rabbits and rats can be isolated, cultured, and genetically transformed, and provide the basis for analyzing their developmental potential and their possible use for the precise genetic modification of these species.

• Journal of Microbiology and Biotechnology
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• 제10권5호
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• pp.663-669
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• 2000

The fur (ferric uptake regulation) expression vector pMON2064 was modified to produce a Fur-fusion expression vector. A kinker site, factor Xa cleavage site, and several restriction endonuclease sites were introduced to facilitate easy cloning and isolating of the fusion protein. The resulting fusion expression vector, pMONSTER, was then used to make fusion expression vector, pMONSTER, was then used to make fusion proteins with $\beta$-galactosidase and the protease of the human immunodeficiency virus type 1 (HIV-1 PR). Strain SW4020 harboring the Fur $\beta$-galactosidase fusion vector produced blue colonies on a 5-bromo-4-chloro-3-indolyl-$\beta$-D-galactoside plate and the resulting 133 kDa fusion protein reacted with an anti-Fur antibody. The strain harboring the Fur-HIV-1 PR fusion vector produced a 29 kDa fusion protein, which also reacted with an anti-Fur antibody. The Fur-HIV-1 PR fusion protein was purified by a single column application that was designed to isolate the Fur protein. The purified Fur-HIV-1 PR fusion protein digested with factor Xa cleaved a recombinant Gag protein to release smaller fragments, including a p24 capsid protein. The Fur-HIV-1 PR fusion protein itself did not exhibit any proteolytic activity.

• 한국양식학회지
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• 제12권4호
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• pp.267-274
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• 1999

A rotifer starin has been isolated from tide pools located near Sogwipo, Cheju Island and the effects of environmental factors (water temperature and salinity) and clonal differences have been examined with regard to size variation and cyclomorphosis. Adult female rotifers varied from 141.61 to $173.97 \mutextrm{m}$ in their mean lorica length under different rearing conditions in the laboratory and also had pointed anterior spines . Thus, this strain was classified as Brachionus rotundiformes. Mean lorica length tended to be smaller as rearing temperature increased although there were some exceptions. Statistical analysis indicated that lorica length was largely influenced by both clonal differences and rearing temperatures although the former as a genetic factor affected lorica length a little more than the latter did ; overall effect of salinity on lorica length was not statistically signicicant; furthermore, cyclomorphosis was also largely influenced by both clonal differences and rearing temperatures, but clonal differences as a genetic factor affected rotifer cyclomorphosis much more than temperature did.

• 대한기계학회논문집A
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• 제33권12호
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• pp.1383-1392
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• 2009

A disadvantage in the design of a hypotrochoidal gear pump as in a gerotor pump is a lack of parts that can be adjusted to compensate for wear in the rotor set, and as a consequence, it causes a sharp reduction of volumetric efficiency. In this paper, an attempt has been made to reduce the wear rate between the rotors of a hypotrochoidal gear pump. Using the knowledge of shape design on the rotors, the contact stresses without hydrodynamic effect between the rotors' teeth are evaluated through the calculation of the Hertzian contact stress. Based on the above result and the sliding velocity between the rotors, a genetic algorithm (GA) is used as an optimization technique for minimizing the wear rate proportional factor (WRPF). The result shows that the wear rate or the WRPF can be reduced considerably, e.g. approximately 12.8% in this paper, throughout the optimization using GA.

• Biomolecules & Therapeutics
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• 제23권5호
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• pp.414-420
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• 2015

Flavonoids, such as fisetin (3,7,3',4'-tetrahydroxyflavone), are plant secondary metabolites. It has been reported that fisetin is able to perform numerous pharmacological roles including anti-inflammatory, anti-microbial, and anti-cancer activities; however, the exact anti-inflammatory mechanism of fisetin is not understood. In this study, the pharmacological action modes of fisetin in lipopolysaccharide (LPS)-stimulated macrophage-like cells were elucidated by using immunoblotting analysis, kinase assays, and an overexpression strategy. Fisetin diminished the release of nitric oxide (NO) and reduced the mRNA levels of inducible NO synthase (iNOS), tumor necrosis factor (TNF)-${\alpha}$, and cyclooxygenase (COX)-2 in LPS-stimulated RAW264.7 cells without displaying cytotoxicity. This compound also blocked the nuclear translocation of p65/nuclear factor (NF)-${\kappa}B$. In agreement, the upstream phosphorylation events for NF-${\kappa}B$ activation, composed of Src, Syk, and I${\kappa}B{\alpha}$, were also reduced by fisetin. The phospho-Src level, triggered by overexpression of wild-type Src, was also inhibited by fisetin. Therefore, these results strongly suggest that fisetin can be considered a bioactive immunomodulatory compound with anti-inflammatory properties through suppression of Src and Syk activities.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 추계학술대회 논문집 학회본부 B
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• pp.657-659
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• 1998

In order to optimize fuzzy modeling of nonlinear system, we proposed a optimal fuzzy model according to the characteristic of I/O relationship, HCM method, the genetic algorithm, and the objective function with weighting factor. A conventional fuzzy model has difficulty in definition of membership function. In order to solve its problem, the premise structure of the proposed fuzzy model is selected by both the partition of input space and the analysis of input-output relationship using the clustering algorithm. The premise parameters of the fuzzy model are optimized respectively by the genetic algorithm and the consequence parameters of the fuzzy model are identified by the standard least square method. Also, the objective function with weighting factor is proposed to achieve a balance between the performance results for the training and testing data.