Biblioteca Digital

10 resultados para science et poésie

em QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast

Response to: Comment on “Synchronous records of pCO2 and Δ14C suggest rapid, ocean-derived pCO2 fluctuations at the onset of Younger Dryas” (Steinthorsdottir et al., 2014, Quaternary Science Reviews 99, 84–96)

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Comment on “Artificial neural network modeling of mechanical alloying process for synthesizing of metal matrix nanocomposite powders” by Dashtbayazi et al. [Mater. Sci. Eng. A 466 (2007) 274]

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Comment on “Hardness based model for determining the kinetics of precipitation” by Mittra et al. [Mater. Sci. Eng. A 500 (2009) 244]

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High energy density science with FELs, intense short pulse tunable x-ray sources -

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Reply to Chassot et al.: rare tuna species in British waters.

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Comment on “Artificial neural network prediction of retained austenite content and impact toughness of high-vanadium high-speed steel (HVHSS)” by Xu et al. [Mater. Sci. Eng. A 433 (2006) 251]

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Comment on “Modeling of the APS plasma spray process using artificial neural networks: Basis, requirements and an example” by Guessasma et al. [Comput. Mater. Sci. 29 (2004) 315]

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Receptor binding and biologic activity of synthetic ET-1 peptides in the retinal pericyte

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Purpose. The purpose of this study was to examine the effect of synthetic endothelin (ET)-1 peptides with antigenic potential for binding and biologic activity using an in vitro model of microvascular pericytes.

Comment on “Modeling of tribological properties of alumina fiber reinforced zinc–aluminum composites using artificial neural network” by K. Genel et al. [Mater. Sci. Eng. A 363 (2003) 203]

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Implications for colistin use in patients with cystic fibrosis (CF):Letter in response to "Prophylactic and metaphylactic antimicrobial use in Belgian fattening pig herds" by Callens et al. [Prev. Vet. Med. 106 (2012) 53-62]

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