911 resultados para Regression (PCR)


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Os flebotomíneos são insetos hematófagos de grande importância médica e veterinária atuando como vetores de parasitas como Leishmania. O estudo do padrão alimentar desses vetores pode ajudar a compreender a sua interação com potenciais reservatórios de Leishmania. Neste estudo, desenvolvemos ensaios de PCR em tempo real para identificação de sangue em flebotomíneos. Seis pares de primers foram desenhados com base no gene citocromo b de sequencias disponíveis no GenBank dos seguintes hospedeiros potenciais: cão, gato, cavalo, galinha, rato e humano. Primeiramente, os ensaios de PCR em tempo real utilizando SYBR Green foram conduzidos usando uma curva padrão com oito concentrações diferentes (i.e., 10 ng, 1 ng, 100 pg, 10 pg, 1 pg, 100 fg, 10 fg e 1 fg por 2 µl) de amostras do DNA extraído do sangue com EDTA a partir de cada espécie de animal. Em seguida, o DNA foi extraído de 100 fêmeas de flebotomíneos ingurgitadas de campo pertencentes a três espécies (i.e., Lutzomyia longipalpis, L. migonei e L. lenti) foram testadas pelos protocolos aqui padronizados. Fêmeas de flebotomíneos foram experimentalmente alimentadas em um rato (Rattus rattus) e utilizadas para avaliar a detecção do ensaio. Os protocolos funcionaram de forma eficiente com limites de detecção de 10 pg a 100 fg. Fêmeas de flebotomíneos ingurgitadas coletadas no campo estavam alimentadas de humanos (73 por cento), galinhas (23 por cento), cães (22 por cento), cavalos (15 por cento), ratos (11 por cento) e gatos (2 por cento). Curiosamente, 76,1 por cento das fêmeas de L. longipalpis foram positivas para o sangue humano. No total, 48 por cento das fêmeas testadas estavam alimentadas em uma única fonte, 31 por cento em duas e 12 por cento em três. A análise do curso de tempo mostrou que a técnica de PCR em tempo real visando o DNA de roedor foi capaz de detectar pequenas quantidades de DNA do hospedeiro até 5 dias após o repasto sanguíneo. Esses protocolos representam ferramentas promissoras para a identificação da fonte alimentar de flebotomíneos de campo

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A dengue é a mais importante doença viral transmitida por mosquitos, no que diz respeito à morbidade e mortalidade, que afeta os seres humanos. Este vírus é transmitido pelos vetores Aedes albopictus e Aedes aegypti, este último é o principal vetor nas Américas. O controle da doença se baseia na vigilância laboratorial e vigilância entomológica. A vigilância laboratorial visa aprimorar a capacidade do diagnóstico, detectando precocemente a circulação viral e monitorando os sorotipos circulantes. Dentro deste tipo de vigilância, a RT-PCR é um método bastante usado no diagnóstico da doença em humanos e mosquitos, porém, a má conservação do material pode comprometer a integridade do RNA e trazer resultados falso-negativos. O desenvolvimento de melhores métodos de vigilância do vírus dengue (DENV) em mosquitos é de grande valor para os programas de controle. Desta maneira, o presente projeto visou otimizar a técnica de RT-PCR Multiplex para detecção de DENV em amostras de Ae. aegypti infectadas artificialmente pelo vírus. Primers que amplificam uma região de 80 pb do gene rpL8 de mosquito foram desenhados no site Primer3 e avaliados na ferramenta online Multiple Primer Analyzer, junto com primers que amplificam os sorotipos DENV. Não houve competição de primers e foi observado bandas distintas no gel de agarose. Foi avaliado o efeito de diferentes formas de preservação do material genético das amostras (RNAlater®, freezer -80°C e nitrogênio líquido) por 7 dias, onde não houve diferenças significativas em relação à integridade do RNA. O efeito de diferentes formas de extração de RNA (Kit da QIAGEN® , TRIzol® e Chomczymski-Sacchi) também foi avaliado e o método ChomczymskiSacchi obteve o melhor desempenho. A otimização desta técnica permitirá uma maior confiabilidade nos resultados, já que além da detecção dos sorotipos, haverá uma confirmação da qualidade do RNA, aprimorando a capacidade do diagnóstico e auxiliando a prevenção e controle da transmissão da dengue.

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A statistical technique for fault analysis in industrial printing is reported. The method specifically deals with binary data, for which the results of the production process fall into two categories, rejected or accepted. The method is referred to as logistic regression, and is capable of predicting future fault occurrences by the analysis of current measurements from machine parts sensors. Individual analysis of each type of fault can determine which parts of the plant have a significant influence on the occurrence of such faults; it is also possible to infer which measurable process parameters have no significant influence on the generation of these faults. Information derived from the analysis can be helpful in the operator's interpretation of the current state of the plant. Appropriate actions may then be taken to prevent potential faults from occurring. The algorithm is being implemented as part of an applied self-learning expert system.

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This paper studies the effects of increasing formality via tax reduction and simplification schemes on micro-firm performance. It uses the 1997 Brazilian SIMPLES program. We develop a simple theoretical model to show that SIMPLES has an impact only on a segment of the micro-firm population, for which the effect of formality on firm performance can be identified, and that can be analyzed along the single dimensional quantiles of the conditional firm revenues. To estimate the effect of formality, we use an econometric approach that compares eligible and non-eligible firms, born before and after SIMPLES in a local interval about the introduction of SIMPLES. We use an estimator that combines both quantile regression and the regression discontinuity identification strategy. The empirical results corroborate the positive effect of formality on microfirms' performance and produce a clear characterization of who benefits from these programs.

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In this paper we propose an efficient two-level model identification method for a large class of linear-in-the-parameters models from the observational data. A new elastic net orthogonal forward regression (ENOFR) algorithm is employed at the lower level to carry out simultaneous model selection and elastic net parameter estimation. The two regularization parameters in the elastic net are optimized using a particle swarm optimization (PSO) algorithm at the upper level by minimizing the leave one out (LOO) mean square error (LOOMSE). Illustrative examples are included to demonstrate the effectiveness of the new approaches.

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A LightCycler(R) real-time PCR hybridization probe-based assay that detects a conserved region of the 16S rRNA gene of pathogenic but not saprophytic Leptospira species was developed for the rapid detection of pathogenic leptospires directly from processed tissue samples. In addition, a differential PCR specific for saprophytic leptospires and a control PCR targeting the porcine beta-actin gene were developed. To assess the suitability of these PCR methods for diagnosis, a trial was performed on kidneys taken from adult pigs with evidence of leptospiral infection, primarily a history of reproductive disease and serological evidence of exposure to pathogenic leptospires (n = 180) and aborted pig foetuses (n = 24). Leptospire DNA was detected by the 'pathogenic' specific PCR in 25 tissues (14%) and the control beta-actin PCR was positive in all 204 samples confirming DNA was extracted from all samples. No leptospires were isolated from these samples by culture and no positives were detected with the 'saprophytic' PCR. In a subsidiary experiment, the 'pathogenic' PCR was used to analyse kidney samples from rodents (n = 7) collected as part of vermin control in a zoo, with show animals with high microagglutination titres to Leptospira species, and five were positive. Fifteen PCR amplicons from 1 mouse, 2 rat and 14 pig kidney samples, were selected at random from positive PCRs (n = 30) and sequenced. Sequence data indicated L. interrogans DNA in the pig and rat samples and L. inadai DNA, which is considered of intermediate pathogenicity, in the mouse sample. The only successful culture was from this mouse kidney and the isolate was confirmed to be L. inadai by classical serology. These data suggest this suite of PCRs is suitable for testing for the presence of pathogenic leptospires in pig herds where abortions and infertility occur and potentially in other animals such as rodents. Crown Copyright (C) 2007 Published by Elsevier Ltd. All rights reserved.

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Specific traditional plate count method and real-time PCR systems based on SYBR Green I and TaqMan technologies using a specific primer pair and probe for amplification of iap-gene were used for quantitative assay of Listeria monocytogenes in seven decimal serial dilution series of nutrient broth and milk samples containing 1.58 to 1.58×107 cfu /ml and the real-time PCR methods were compared with the plate count method with respect to accuracy and sensitivity. In this study, the plate count method was performed using surface-plating of 0.1 ml of each sample on Palcam Agar. The lowest detectable level for this method was 1.58×10 cfu/ml for both nutrient broth and milk samples. Using purified DNA as a template for generation of standard curves, as few as four copies of the iap-gene could be detected per reaction with both real-time PCR assays, indicating that they were highly sensitive. When these real-time PCR assays were applied to quantification of L. monocytogenes in decimal serial dilution series of nutrient broth and milk samples, 3.16×10 to 3.16×105 copies per reaction (equals to 1.58×103 to 1.58×107 cfu/ml L. monocytogenes) were detectable. As logarithmic cycles, for Plate Count and both molecular assays, the quantitative results of the detectable steps were similar to the inoculation levels.

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A ligase mediated polymerase chain reaction (LMPCR) was developed to amplify between the repetitive element, IS1533, of Leptospira and adjacent chromosomally located BglII restriction endonuclease enzyme sites. To do this, complimentary oligonucleotide linkers designed to anneal together with an overhanging BglII end were ligated to BglII digested DNA from 35 leptospiral reference strains and field isolates, This ligated DNA was used as template for PCR with oligonucleotide primers specific for the linker and for the repetitive element IS1533. The resultant amplicon profile hybridised a 102 hp region derived from the terminus of IS1533 thus confirming that amplicons generated by LMPCR contained part of IS1533. The number of fragments generated containing IS1533 was significantly fewer than that generated by RFLP but the LMPCR method has the potential to use far less template DNA and be quicker than standard RFLP. Obvious and reproducible interserovar differences were demonstrated by LMPCR whereas for 20 of 21 L. hardjo-bovis isolates tested no intraserovar differences were observed. Of those serovars known to possess IS1533 homologues and tested here by LMPCR, each produced a unique amplicon profile which hybridised the IS1533 terminus probe. The limited heterogeneity amongst hardjo-bovis isolates is discussed as is the potential contribution of this method to diagnosis, differentiation and the phylogenetics of the Leptospires.

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Toward the ultimate goal of replacing field-based evaluation of seasonal growth habit, we describe the design and validation of a multiplex polymerase chain reaction assay diagnostic for allelic status at the barley (Hordeum vulgare ssp. vulgare L.) vernalization locus, VRN-H1 By assaying for the presence of all known insertion–deletion polymorphisms thought to be responsible for the difference between spring and winter alleles, this assay directly tests for the presence of functional polymorphism at VRN-H1 Four of the nine previously recognized VRN-H1 haplotypes (including both winter alleles) give unique profiles using this assay. The remaining five spring haplotypes share a single profile, indicative of function-altering deletions spanning, or adjacent to, the putative “vernalization critical” region of intron 1. When used in conjunction with a previously published PCR-based assay diagnostic for alleles at VRN-H2, it was possible to predict growth habit in all the 100 contemporary UK spring and winter lines analyzed in this study. This assay is likely to find application in instances when seasonal growth habit needs to be determined without the time and cost of phenotypic assessment and during marker-assisted selection using conventional and multicross population analysis.