Sentence examples for generated prior from inspiring English sources
Also, since we do not observe any serovar-1 ssGPL (6dTal-Rha) on TLC or GC analyses, this would suggest that the serovar-8 specific GPL disaccharide Rha-Gluc was generated prior to its addition to 6dTal for the generation of ssGPL.
Much clinical trial data generated prior to 1990 may only be available in paper formats and not readily accessible.
All mPing subtypes in domesticated accessions (mPingA-D) were generated prior to domestication, probably in O. rufipogon, by internal deletion from Ping16G.
This implies that the model predictions can be generated prior to synthesis of these structures and their adsorption affinities can be evaluated entirely in silico.
The turbulence is generated prior to the simulations and is based on analytic spectral densities of the atmospheric turbulence and a coherence function defining the spatial correlation of the flow.
Use of microwave heating leads to fast, in situ formation of the catalyst (approximately 32 s) within the polymerisation mixture, rendering pre-preparation steps unnecessary and ensuring it is generated prior to the polymerisation reaction commencing.
The statistical comparison of the networks inferred with actual (i.e., reported in databases) and random prior models indicated that the inference algorithm rejected a significantly higher number of prior interactions when randomly generated priors were used for modeling.
The vanadium borides generate prior to and consequently inhibit the formation of chromium borides during rapid solidification because of lower standard free energy of formation of the former.
Numerical simulations of NMR spectra can provide a rapid and convenient method for optimizing acquisition sequence parameters and generating prior spectral information required for parametric spectral analysis.
For a practical application of the updating concept, which is based on the Ensemble Kalman Filter, a simple method for generating prior ensemble members based on block geometries defined in the short-term model and the variogram, is discussed.
Using the network to generate prior probabilities for classification improves the accuracy when compared with generating prior probabilities based on class prevalence.
