989 resultados para Cresap, Mark W.


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Donateur : Martin, William (18..-19..? ; diplomate)

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O ácido desoxiribunocléico ribossomal (rDNA) é utilizado como uma ferramenta importante para caracterizar o polimorfismo entre os fungos. Existem muitas cópias de rDNA as quais são arranjadas por espaços não codificados. Essas cópias são altamente conservadas entre espécies de fungos. O objetivo deste trabalho foi estudar a região do Espaço Interno Transcrito (ITS) e analisar as diferenças no polimorfismo da seqüência dessa região no fungo Scleroderma UFSMSc1 com seqüências dos isolados de Scleroderma e Pisolithus do banco de dados GenBank. O DNA do isolado de Scleroderma UFSMSc1 foi extraído por meio da solução de extração à base de CTAB. A partir do DNA, foram feitas reações de PCR com os oligonucleotídeos iniciadores universais ITS1 e ITS4, cujo produto amplificado foi purificado e seqüenciado. A região do ITS do fungo mostrou uma banda simples de aproximadamente 650 pares de base. Na análise da seqüência dessa região em comparação com algumas depositadas no GenBank, observou-se a formação de agrupamento com espécies de Scleroderma. Os resultados mostraram que essa técnica favorece a identificação de espécies de Scleroderma, visto que tais fungos são difíceis de ser identificados apenas por seus caracteres morfológicos.

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This article analyses and discusses issues that pertain to the choice of relevant databases for assigning values to the components of evaluative likelihood ratio procedures at source level. Although several formal likelihood ratio developments currently exist, both case practitioners and recipients of expert information (such as judiciary) may be reluctant to consider them as a framework for evaluating scientific evidence in context. The recent ruling R v T and ensuing discussions in many forums provide illustrative examples for this. In particular, it is often felt that likelihood ratio-based reasoning amounts to an application that requires extensive quantitative information along with means for dealing with technicalities related to the algebraic formulation of these approaches. With regard to this objection, this article proposes two distinct discussions. In a first part, it is argued that, from a methodological point of view, there are additional levels of qualitative evaluation that are worth considering prior to focusing on particular numerical probability assignments. Analyses will be proposed that intend to show that, under certain assumptions, relative numerical values, as opposed to absolute values, may be sufficient to characterize a likelihood ratio for practical and pragmatic purposes. The feasibility of such qualitative considerations points out that the availability of hard numerical data is not a necessary requirement for implementing a likelihood ratio approach in practice. It is further argued that, even if numerical evaluations can be made, qualitative considerations may be valuable because they can further the understanding of the logical underpinnings of an assessment. In a second part, the article will draw a parallel to R v T by concentrating on a practical footwear mark case received at the authors' institute. This case will serve the purpose of exemplifying the possible usage of data from various sources in casework and help to discuss the difficulty associated with reconciling the depth of theoretical likelihood ratio developments and limitations in the degree to which these developments can actually be applied in practice.

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We investigated the association between diet and head and neck cancer (HNC) risk using data from the International Head and Neck Cancer Epidemiology (INHANCE) consortium. The INHANCE pooled data included 22 case-control studies with 14,520 cases and 22,737 controls. Center-specific quartiles among the controls were used for food groups, and frequencies per week were used for single food items. A dietary pattern score combining high fruit and vegetable intake and low red meat intake was created. Odds ratios (OR) and 95% confidence intervals (CI) for the dietary items on the risk of HNC were estimated with a two-stage random-effects logistic regression model. An inverse association was observed for higher-frequency intake of fruit (4th vs. 1st quartile OR = 0.52, 95% CI = 0.43-0.62, p (trend) < 0.01) and vegetables (OR = 0.66, 95% CI = 0.49-0.90, p (trend) = 0.01). Intake of red meat (OR = 1.40, 95% CI = 1.13-1.74, p p (trend) < 0.01) was positively associated with HNC risk. Higher dietary pattern scores, reflecting high fruit/vegetable and low red meat intake, were associated with reduced HNC risk (per score increment OR = 0.90, 95% CI = 0.84-0.97).

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