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Large eddy simulation (LES) models based on algebraic expressions for the turbulent flame speed, the flame surface density or the flame wrinkling factor cannot reproduce such a situation because they assume an equilibrium between turbulence and flame wrinkling which is generally not reached during the simulation as the flame is laminar at early stages.
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To address this, Le and colleagues [ 23] developed similar models based on a set of 10 to 60 classes of amino acid profiles that were estimated from a database of alignments and implemented these in both Bayesian (PhyloBayes) and maximum likelihood (PhyML) estimation programs.
Our lab has developed in the past years some models based upon cultured bivalve heart cells (Le Marrec-Croq et al., 1998; Pennec et al., 2002; Talarmin et al., 2008).
We present a systematic assessment of hybrid URANS/LES models based on linear and non-linear eddy viscosity formulations.
Nine randomly selected sites of observed latent energy (LE) fluxes versus predicted fluxes from the multiple regression model based on VPD, soil moisture and their interaction.
The LG+I+G+F model (Le and Gascuel 2008) was recommended by ProtTest as the best model based on both AIC and BIC criteria.
A simplified reaction diffusion model, based on the one-step Arrhenius kinetics, represents a stoichiometric H2 air mixture under the assumption of the Lewis number Le = 1.
Develop a model based on theory.
Le Vau based his designs on Italian models.
In order to assess the selection of visual features we employed a signal detection framework based on the Receiver Operator Characteristic (ROC) (Le Meur, Le Callet & Barba, 2007).
Later models were based on the Ford Mustang.
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