Sentence examples for correct projections from inspiring English sources

If these two phenomena are present, the estimation of the effect of effective density on local productivity will be biased and thus not conducive to correct projections.

We have used projection matching to compare the TBC-DEG and TBC-DE(GFP G projections and have identified the correct projections more accurately.

It will be seen that correct projection is achieved by projecting the stimulated retinal point through the nodal point of the eye.

Therefore, the reliability of the cephalometric analyses depends on the correct projection and identification of errors [6 9].

It was everything that is annoying about the "social justice internet"—the posing, the posturing, the self-policing to make sure all the signifiers match up to form the correct projection of equality-mindedness (never mind that McGorry tweeted "#NoHomo" after appearing at a pride parade in 2014).

These studies revealed restricted homophilic interactions of IrreC/Rst to be required for the correct projection of optical lobe neurons, while overexpression or knock-out leads to erroneous axonal pathfinding.

In practice, two sets of simulations are required to perform the parametrisation: a short Langevin simulation in implicit solvent to extract the ∂ A i /∂ r i values and a long conformationally constrained simulation in explicit water to obtain the solvation forces, both using identical starting conformations to ensure correct projection geometry.

Figure 5 presents a corrected projection (after sinogram stitching) with dynamic flat fielding.

Within many studies the capability of the pressure-correcting projection method for the inclusion of the missing nonhydrostatic pressure contribution into an existing hydrostatic model kernel was verified.

This has been corrected ("Projection of cells from visually stimulated s48A49 animals (black) into PCA space defined by the analysis of naïve dataset, with naïve cells from s48A49 animals shown in blue.

16 Widely used methods include unsupervised principal component analysis (PCA), which provides an overview of the intrinsic similarities and differences in a dataset revealing groupings, outliers and time trajectories, and supervised orthogonal signal corrected-projection to latent structure-discriminant analysis (O-PLS-DA).