Sentence examples for incorporation probability from inspiring English sources
Thus, the AlN incorporation probability decreases by greater than two orders of magnitude.
All of these processes can intensify loose adsorption of silica particles on the electrode, increasing the incorporation probability (strong adsorption) of silica particles into the coating [5].
The AlN incorporation probability in single crystal Hf1 − xAlxN(0 0 1) layers is controllably adjusted between ∼0% and 100% by varying the ion energy (Ei) incident at the growing film over a narrow range, 10 40 eV.
Assuming an equal incorporation probability for all four canonical nucleotides when the DNA polymerase encounters the dI residue on the template strand, one out of four created insert termini can be ligated to a cohesive vector DNA end (compare Figure 2).
JRG conceived the idea of incorporation probabilities to address uncertainty in CNV association studies.
The analysis includes an assessment of uncertainty in sorghum ethanol LCA through incorporation of probability distribution functions (PDFs) of key parameters developed from an extensive review of the literature.
This is especially important because of the incorporation of probabilities of early events in development, which are causal to the insurgence of diseases.
In any case, the values for questions on risk reductions are sufficiently different to cause some concern about the incorporation of probabilities into contingent valuation questions.
For cells eligible to re-incorporate, the probability of re-incorporation follows a logistic function that decreases with increasing distance from the epiblast plane (Equation 3.1).
With the help of probabilistic robustness techniques, an iterative design approach is proposed to determine the post-filter of observer-based residual generators with direct incorporation of the probability distribution of the model parameter uncertainties into the design procedure.
MCMC Bayesian approaches allow the incorporation of a probability distribution to the prior knowledge, with means and variance for the model's prior parameters.
