Traité d'embryologie et d'organogénie comparées / par Francis M. Balfour ; traduit avec l'autorisation de l'auteur et annoté par H.A. Robin.

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Traité d'embryologie et d'organogénie comparées / par Francis M. Balfour ; traduit avec l'autorisation de l'auteur et annoté par H.A. Robin.

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Summer wild flowers / by J. Francis Macbride, Asst. Curator, Taxonomy, Dept. of Botany

no.9(1924)

Catalogue de quatorze tableaux... par M. L. [Louis] Coignard... / [expert] Francis Petit

[Vente. Art. 1858-05-08. Paris]

Wakeman Burritt fonds, 1807-1814

Wakeman Burritt (1785-1847) was a merchant and ship owner who conducted his business in New York, New Orleans, LA, Charleston, SC, and the West Indies. Despite the difficulties that the Embargo Act of 1807 and the War of 1812 posed to trade and commerce, Burritt managed to run a successful business, dealing in commodities such as foodstuffs, cloth, cotton, and soap. He owned three ships, the Brig Cannon, Brig Eunice and Brig Sampson. In 1809, he married Grace Burr (1787-1874). Together they had at least one child, Francis Burritt (1811-1861).

« Les misérables »

Compte rendu critique de l'épopée musicale « Les misérables » d'Alain Boublil et de Claude-Michel Schônberg,inspirée de l'œuvre de Victor Hugo (mise en scène et adaptation : John Caird; parolier : Herbert Kretzmer; musique : Claude-Michel Schônberg; paroles : Alain Boublil (français) et Herbert Kretzmer (anglais); décors : John Napier; éclairages : David Hersey; costumes: Andreanne Neofitou. Avec Robert Marien (Jean Valjean), Peter Zinko (Inspecteut Javert), Louise Pitre (Fantine), François Godin (Enjolras), Frayne McCarthy (Marius), Martine Fugète (Cosette), Stéphanie Martin (Éponine), André Thérien (Thénardier), Mireille Thibault (Madame Thénardier), Gabriel Kakon et Andrew BauerGador (Gavroche), Clotilde Aras, Lily Russell et Adrienne Nye (Cosette enfant); et Dominique Blier, Marie-Claude Bourque-Hadad, Isabelle Corradi, Lisa Forget, Michelle Labonté, Sophie Lapierre, Julie Lafontaine, Linda Mailho, Eve Montpetit, Jasmine Roy, Paul Allard, Alexandre Beaulieu, Pierre Bénard, Norman-Robert Boie, Normand Carrière, Jean-Luke Côté, Sébastien Dhavernas, Daniel Jean, Pierre Ladouceur, Daniel Laflèche, Sylvain Landry, Joël Legendre, Mario Simard et Francis Sommer (la Troupe). Production de Cameron Mackintosh et d'Edwin et David Mirvish, présenrée au Théâtre Saint-Denis du 17 janvier au 23 juin 1991.

The hecklers

Group Exhibition curated by Cedar Lewisohn. Contributors: Caroline Achaintre, Edwin Burdis, Slawomir Czajkowski (Zbiok), Shaun Doyle and Mally Mallinson, Ruth Ewan, Andrew Gilbert, Joel Gray, Tod Hanson, Geoffrey Ireland, kennardphillipps, Cedar Lewisohn (curator), Kieron Livingstone and Ian Allison, Alexis Milne, Laura Oldfield Ford, Max Reeves, Clunie Reid, John Russell, Francis Thorburn, Vicky Wright.

Deviance residuals in generalised log-gamma regression models with censored observations

In this article, we compare three residuals based on the deviance component in generalised log-gamma regression models with censored observations. For different parameter settings, sample sizes and censoring percentages, various simulation studies are performed and the empirical distribution of each residual is displayed and compared with the standard normal distribution. For all cases studied, the empirical distributions of the proposed residuals are in general symmetric around zero, but only a martingale-type residual presented negligible kurtosis for the majority of the cases studied. These studies suggest that the residual analysis usually performed in normal linear regression models can be straightforwardly extended for the martingale-type residual in generalised log-gamma regression models with censored data. A lifetime data set is analysed under log-gamma regression models and a model checking based on the martingale-type residual is performed.

The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors

In this paper, we proposed a flexible cure rate survival model by assuming the number of competing causes of the event of interest following the Conway-Maxwell distribution and the time for the event to follow the generalized gamma distribution. This distribution can be used to model survival data when the hazard rate function is increasing, decreasing, bathtub and unimodal-shaped including some distributions commonly used in lifetime analysis as particular cases. Some appropriate matrices are derived in order to evaluate local influence on the estimates of the parameters by considering different perturbations, and some global influence measurements are also investigated. Finally, data set from the medical area is analysed.

PrimerSNP: a web tool for whole-genome selection of allele-specific and common primers of phylogenetically-related bacterial genomic sequences

Background: The increasing number of genomic sequences of bacteria makes it possible to select unique SNPs of a particular strain/species at the whole genome level and thus design specific primers based on the SNPs. The high similarity of genomic sequences among phylogenetically-related bacteria requires the identification of the few loci in the genome that can serve as unique markers for strain differentiation. PrimerSNP attempts to identify reliable strain-specific markers, on which specific primers are designed for pathogen detection purpose.Results: PrimerSNP is an online tool to design primers based on strain specific SNPs for multiple strains/species of microorganisms at the whole genome level. The allele-specific primers could distinguish query sequences of one strain from other homologous sequences by standard PCR reaction. Additionally, PrimerSNP provides a feature for designing common primers that can amplify all the homologous sequences of multiple strains/species of microorganisms. PrimerSNP is freely available at http://cropdisease.ars.usda.gov/similar to primer.Conclusion: PrimerSNP is a high-throughput specific primer generation tool for the differentiation of phylogenetically-related strains/species. Experimental validation showed that this software had a successful prediction rate of 80.4 - 100% for strain specific primer design.