• Title/Summary/Keyword: BCA

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Bootstrap Analysis of ILSTS035 Microsatellite Locus in Hanwoo Chromosome 6

  • Lee, Jea-Young;Lee, Yong-Won;Kim, Mun-Jung
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.1
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    • pp.75-81
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    • 2004
  • We selected, in previous research, a major DNA Marker 235bp of ILSTS035 microsatellite locus in progeny test Hanwoo chromosome 6. We apply a major DNA Marker 235bp to perormance valuation Hanwoo chomosome 6. We use bootstrap BCa method and calculate confidence interval. A major DNA Marker 235bp is verified that it does not have environmental effect but affects primely economic trait factor.

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Interval Estimations for Reliablility in Stress-Strength Model by Bootstrap Method

  • Lee, In-Suk;Cho, Jang-Sik
    • Journal of the Korean Data and Information Science Society
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    • v.6 no.1
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    • pp.73-83
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    • 1995
  • We construct the approximate bootstrap confidence intervals for reliability (R) when the distributions of strength and stress are both normal. Also we propose percentile, bias correct (BC), bias correct acceleration (BCa), and percentile-t intervals for R. We compare with the accuracy of the proposed bootstrap confidence intervals and classical confidence interval based on asymptotic normal distribution through Monte Carlo simulation. Results indicate that the confidence intervals by bootstrap method work better than classical confidence interval. In particular, confidence intervals by BC and BCa method work well for small sample and/or large value of true reliability.

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Neural Transdifferentiation: MAPTau Gene Expression in Breast Cancer Cells

  • Lara-Padilla, E;Miliar-Garcia, A;Gomez-Lopez, M;Romero-Morelos, P;Bazan-Mendez, CI;Alfaro-Rodriguez, A;Anaya-Ruiz, M;Callender, K;Carlos, A;Bandala, C
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.4
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    • pp.1967-1971
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    • 2016
  • Background: In tumor cells, aberrant differentiation programs have been described. Several neuronal proteins have been found associated with morphological neuronal-glial changes in breast cancer (BCa). These neuronal proteins have been related to mechanisms that are involved in carcinogenesis; however, this regulation is not well understood. Microtubule-associated protein-tau (MAP-Tau) has been describing in BCa but not its variants. This finding could partly explain the neuronal-glial morphology of BCa cells. Our aim was to determine mRNA expression of MAP-tau variants 2, 4 and 6 in breast cancer cell lines. Materials and Methods: Cultured cell lines MCF-10A, MDA-MB-231, SKBR3 and T47D were observed under phase-contrast microscopy for neural morphology and analyzed for gene expression of MAP-Tau transcript variants 2, 4 and 6 by real-time PCR. Results: Regarding morphology like neural/glial cells, T47D line shown more cells with these features than MDA-MB-231 and SKBR. In another hand, we found much greater mRNA expression of MAP-Tau transcript variants 2, and to a lesser extent 4 and 6, in T47D cells than the other lines. In conclusion, regulation of MAP-Tau could bring about changes in cytoskeleton, cell morphology and motility; these findings cast further light on neuronal transdifferentiation in BCa.

Ginsenoside Rh2 differentially Mediates microRNA Expression to Prevent Chemoresistance of Breast Cancer

  • Wen, Xu;Zhang, He-Da;Zhao, Li;Yao, Yu-Feng;Zhao, Jian-Hua;Tang, Jin-Hai
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.3
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    • pp.1105-1109
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    • 2015
  • Chemoresistance is the most common cause of chemotherapy failure during breast cancer (BCA) treatment. It is generally known that the mechanisms of chemoresistance in tumors involve multiple genes and multiple signaling pathways,; if appropriate drugs are used to regulate the mechanisms at the gene level, it should be possible to effectively reverse chemoresistance in BCA cells. It has been confirmed that chemoresistance in BCA cells could be reversed by ginsenoside Rh2 (G-Rh2). Preliminary studies of our group identified some drugresistance specific miRNA. Accordingly, we proposed that G-Rh2 could mediate drug-resistance specific miRNA and corresponding target genes through the gene regulatory network; this could cut off the drug-resistance process in tumors and enhance treatment effects. G-Rh2 and breast cancer cells were used in our study. Through pharmaceutical interventions, we could explore how G-Rh2 could inhibit chemotherapy resistance in BCA, and analyze its impact on related miRNA and target genes. Finally, we will reveal the anti-resistance molecular mechanisms of G-Rh2 from a different angle in miRNA-mediated chemoresistance signals among cells.

In Vivo Screening for Biocontrol Agents (BCAs) against Streptomyces scabiei Causing Potato Common Scab

  • Lee, Hyang-Burm;Cho, Jong-Wun;Park, Dong-Jin;Li, Chang-Tian;Ko, Young-Hwan;Song, Jeong-Heub;Koh, Jeong-Sam;Kim, Bum-Joon;Kim, Chang-Jin
    • The Plant Pathology Journal
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    • v.20 no.2
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    • pp.110-114
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    • 2004
  • Through in vitro screening for biocontrol agents (BCAs) against Streptomyces scabiei causing potato (Solanum tuberosum) common scab, 19 streptomycete and 17 fungal isolates with antagonistic activity were selected as BCA candidates. For the selection of BCA candidates which are highly resistant to 10 kinds of antibiotics or pesticides, chemical susceptibility testing was initially performed in vitro. A remarkable degree of variation in susceptibility to antibiotics or pesticides was observed among the isolates tested. Streptomycete A020645 isolate was highly resistant to all the tested chemicals except neomycin up to 5,000 ppm. On the other hand, out of 36 antagonistic microbes subjected to in vivo pot tests using cultivar Daejima, four streptomycete isolates namely, A020645, A010321, A010564, and A020973, showed high antagonistic activity with >60% and 55% control value, respectively, and high chemical resistance to 10 kinds of chemicals. Therefore, these isolates were selected as potential BCAs for the control of potato common scab.

Weed Management Technology with Host Specific of Biological Control Agents (기주특이성 잡초 활성 미생물을 이용한 잡초방제 기술)

  • Hong, Yeon-Kyu;Lee, Bong-Choon;Song, Seok-Bo;Park, Sung-Tae;Kim, Jeong-Nam;Geon, Min-Goo;Kim, In-Seob
    • Asian Journal of Turfgrass Science
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    • v.20 no.2
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    • pp.175-190
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    • 2006
  • The term mycoherbicide started in 1970, but its interest heightened due to increase costs of chemical herbicides. A classical biocontrol agent is expected to become a permanent part of its new environment and do no harm to it. Contemporary biological control agent(BCA) must be produced by artificial culture and could be applied like chemical herbicides over weeds. BCA is different from the classical approach in that it released through natural spread. To date 26 species of fungi are used as classical BCA against 26 species of weeds in seven countries. There are a number of examples of pathogens attacking non-target plants. But through risk assessments which include understanding the taxonomy, biology and ecology, the target and non-target species, it will be safe to introduce of exotic pathogens to control weeds. But pathogens have not been successfully used in practice. Many mycoherbicides show potential in laboratories, but are ineffective in the field and not consistent from year to year or field to field. There is also a lack of understanding humidity, dew formation and temperature and their effects on suppression of weeds by plant pathogens. Potential pathogen must be selected as a BCA. Previous studies suggest that these pathogens must (1) produce abundant and durable inoculum in artifical culture, (2) be genetically stable and weed specific and (3) kill weeds in control. A granular preparation of mycoherbicide into sodium alginate is lighter than liquids and less bulky than organic matter. Gel forms have also been used.

Uncertainty Analysis for Parameter Estimation of Probability Distribution in Rainfall Frequency Analysis Using Bootstrap (강우빈도해석에서 Bootstrap을 이용한 확률분포의 매개변수 추정에 대한 불확실성 해석)

  • Seo, Young-Min;Park, Ki-Bum
    • Journal of Environmental Science International
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    • v.20 no.3
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    • pp.321-327
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    • 2011
  • Bootstrap methods is the computer-based resampling method that estimates the standard errors and confidence intervals of summary statistics using the plug-in principle for assessing the accuracy or uncertainty of statistical estimates, and the BCa method among the Bootstrap methods is known much superior to other Bootstrap methods in respect of the standards of statistical validation. Therefore this study suggests the method of the representation and treatment of uncertainty in flood risk assessment and water resources planning from the construction and application of rainfall frequency analysis model considersing the uncertainty based on the nonparametric BCa method among the Bootstrap methods for the assessement of the estimation of probability rainfall and the effect of uncertainty considering the uncertainty of the parameter estimation of probability in the rainfall frequency analysis that is the most fundamental in flood risk assessement and water resources planning.

Uncertainty Analysis for Parameter Estimation in Rainfall Frequency Analysis using Bootstrap (Bootstrap을 이용한 강우빈도해석에서의 매개변수 추정에 대한 불확실성 해석)

  • Seo, Young-Min;Jee, Hong-Kee;Lee, Soon-Tak
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.1406-1411
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    • 2009
  • Bootstrap 기법은 통계학적 추정치의 정확도 또는 불확실성을 평가하기 위한 컴퓨터 기반 리샘플링 기법으로서 플러그인 원칙을 이용하여 요약통계치의 표준오차 및 신뢰구간을 추정하며, Bootstrap 기법 중 BCa 기법은 다른 Bootstrap 기법들에 비해 적합도 기준면에서 훨씬 우수한 결과를 나타내는 것으로 알려져 있다. 본 논문에서는 강우빈도해석에서 확률분포의 매개변수 추정에 대한 불확실성 고려한 확률강우량의 산정 및 불확실성의 영향을 평가하기 위하여 Bootstrap 기법 중 비매개변수적 BCa 기법에 기반한 불확실성을 고려한 강우빈도해석모델 구축 및 적용을 통해 홍수위험평가 및 수자원 계획 등에 있어서 불확실성 표현 및 처리기법을 제시하였다.

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