Sentence examples for probability to generate a from inspiring English sources

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The registered images were also segmented, using the default tissue probability information ('priors') in SPM2, and these probabilistic maps thresholded at 10% probability to generate a liberal white/rest-of-brain mask.

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We found that the average amplitude of the compound PSPs and the probability to generate an AP are strongly correlated with the input resistance of the cells (r = 0.94 and r = 0.84, respectively) and both are less correlated with the cell's surface area (r = −0.69 and r = −0.82, respectively; see summary for these 6 cells in Table 2).

Starting from the assumptions that carcinogenesis progresses via accumulation of mutations, and that every cell division has an identical probability to generate these mutations, a simple prediction can be drawn: large/long-lived animals should have more cancers than smaller/shorter-lived ones, due to increased number of cell divisions [ 3].

To increase the probability to generate better solutions, a number of alternative solutions are produced from each individual and one is selected based on the sequential use of modified Deb's tournament selection.

Even in the case of tissue anisotropy, this range of values for percolation threshold (0.47 0.52) marked the percentage of fibrotic tissue, ϕ, needed for a tissue to have a high probability to generate reentry and become an ectopic pacemaker.

This is due to the fact that the viral load and in consequence the probability to generate new mutants increases with a growing burden of viral strains.

Both collisionally activated dissociation (CAD) methods, CID and HCD, are almost universal for analyses of stable PTMs and provide a high probability to generate and detect the modification-specific peptide sequence ion series.

I used probability theory to generate a curve of the probability that Guam will receive tropical cyclone force winds over the next 10 y (Fig. 2B).

FR model was used to handle different independent variables via weighted-based bivariate probability values to generate a plausible flood susceptibility map.

Because the TH degradation we observed in the filled cells from the TH-EGFP mice suggested variability in the rate of TH decay, we used a probability function to generate a model of what a time dependent TH degradation would look like in this dataset.

The cancer stem cell divides symmetrically with probability, ps=0.01, to generate a sister cancer stem cell.

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