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In this paper, a space time finite element method for evolution problems that is second-order accurate in both space and time is proposed.
The method is based on multi-dimensional second generation wavelets, and is an extension of the dynamically adaptive second generation wavelet collocation method for evolution problems [Int. J. Comp. Fluid Dyn. 17 (2003) 151].
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We report here the development of a random mutagenesis method for directed evolution of Streptomyces lividans acetyl xylan esterase (AxeA), which we previously showed is able to deacetylate chitinous substrate, in order to obtain chitooligosaccharides with well-defined structural properties.
We present a new method for the evolution of inextensible vesicles immersed in a Stokesian fluid.
Levins (Am. Nat. 96 (1962) 361 372) introduced a widely adopted graphical method for analyzing evolution towards an optimal combination of two quantitative traits, which are traded off.
The solutions are obtained by using the space marching algorithm for turbulence equations and node-based Monte Carlo particle method for PDF evolution equation.
Based on a fourth-order conservative exponential method for linear evolution equations, a fourth-order method that admits even larger range steps is developed for the one-way re-formulation.
In a previous paper, the authors described a simulation method for the evolution of two-dimensional cellular structures by curvature flow that satisfied the von Neumann Mullins relation with high accuracy.
The throughput and suitability of this method for directed evolution is demonstrated by enrichment experiments that recover hits from a sea of 10-fold as many alternative droplets.
Our main result rests on a new inference method for adaptive evolution in asexual populations, which uses polymorphism frequency time-series data.
The results demonstrated that in situ error-prone PPCP is an efficient random mutagenesis method for directed evolution of genes and proteins.
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