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The original version of SubSim with a classical modified Markov chain Monte Carlo (MCMC) method is used in this work to generate samples related to intermediate failure events.

The approach taken in this work to generate such a supersaturated solid solution was to spray a conventional Cr3C2 NiCr powder under high power plasma conditions.

We observe that different kinds of secondary structure prediction outputs (single-state prediction, single-state prediction with a confidence index, and three-state probability prediction) do not differ greatly in the amount of structural information they yield, so long as the methods formulated in this work to generate propensity distributions are applied appropriately.

For this reason, we followed a step-wise approach in this work to generate discriminant equations.

Extension of this work to generate orthologous gene sub-clusters across many species will be a critical direction for further investigation.

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This research works to generate more accurate results quickly, as can be seen in the difference between the "coarse mask" and "refined result" in Figure 1. Figure 1: Proposed architecture of a spatial propagation network, including the 3-way connection network which results in a refined result.

However, given the slow nature of sequential gene deletion in H. jecorina and the sheer number of potentially 'contaminating' cellulases produced by this host, we instead worked to generate an expression system that would utilize catabolite repression of endogenous cellulases while providing robust expression of our single target cellulase, in this case, Cel7A.

But this private-capital driven gentrification works to generate profit-yielding buildings.

From this background, the main aim of this work was to generate SSR markers for characterizing mulberry germplasm and/or mapping populations.

One purpose of the resource population produced in this work was to generate individuals with a maximum of heterozygous markers in its F1 generation.

This work aims to generate an asphalt performance grading map for Egypt based on the SUPERPAVE and LTTP programs.

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