Sentence examples for maximizing fit from inspiring English sources

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Regardless of the stem design, the principle pre-requisites for femoral revision are: maximizing fit, immediate press-fit stability, control of axial and rotational stability, and optimal bone-remodeling in the long-term.

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Its design has been produced, using plain radiographs and computed tomography, to maximize "fit and fill" of the femur.

Reconciliation methods may eliminate or modify input data to maximize fit of single parasite clades to a null hypothesis of cospeciation, by invoking different a priori assumptions, including a known host phylogeny.

Once the frozen section of the distal marrow was reported as negative, the tibia was reamed over a guidewire to maximize fit and fill of the distal canal with the prosthetic stem.

Certainly, the mechanism of intron gain is complicated considering differences across lineage, differences in rates of insertion across sites, the age of introns, the possibility of indels to maximize fit to epigenomic structures that can occur following intron gain, alternative splicing, the different models of intron gain, and so on.

For example, she said, Microsoft software applications like Word might blossom with a range of useful new attributes if programmers were pushed to develop versions for Linux and other operating systems, instead of maximizing their fit with Microsoft's Windows operating system.

Parameters are estimated iteratively using a standard Bayesian (generalized filtering) scheme, maximizing the fit between observed and predicted data under model complexity constraints.

The GCV score is a rapidly computed metric that is based on a leave-one-observation-out method of maximizing the fit of the model through minimizing residual error.

The allometric power to normalize aortic area for BSA was estimated using nonlinear regression, in which an iterative technique is applied to estimate model parameters while maximizing data fit (17).

By maximizing the fit between the calculated edge density and resulting route fidelity using different visual areas, we were able to identify the scale on which the birds process the visual landscape information.

Using NPMR, species distribution responses were predicted as a function of multiplicative interactions among climate predictors, using an iterative algorithm that maximizes fit by analyzing target points in a local neighborhood in predictor space via distance-weighted smoothing functions.

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