Sentence examples for predictions for plasma from inspiring English sources

Clear and significant differences between day -1 and each of the days after weaning were shown for both plasma Se and plasma vit E. However, the 95% confidence intervals indicated that the model predictions for plasma vit E at day 4, day 8 and day 18 were not significantly different, while the differences between these three days for plasma Se were clearly significant.

This is because adiabatic theory with respect to a motion of a charged particle (a particle moves as it winds around one magnetic flux) gave a clear theoretical prediction for plasma confinement.

Considering that exposure concentrations less than 10 ng EE2/L and exposure durations longer than 8 days are an extrapolation of the model, model predictions of plasma VTG concentrations for the 21-day 4.5 ng EE2/L exposure were a surprisingly good fit.

While non-invasive, these measurements are not practical for prediction of plasma leakage in resource poor settings.

Similar strategies were used to model ME disposition in pigs following IV bolus exposure with better predictions (R =0.89) for plasma data.

A phenomenological lifetime prediction tool for plasma-sprayed ZrO2 based thermal barrier coating systems with MCrAlY bondcoat is presented.

Multiple linear regression analysis with backward selection was used to judge variables of significance for the prediction of plasma fibulin-1 concentration.

The original model was validated by its adequate prediction of plasma concentration time curves for midazolam in postpartum settings.

Based on the cross-validation results, WoLF PSORT makes reliable predictions for nucleus, mitochondria, cytosol, plasma membrane, extracellular and (in plants) chloroplast.

However, significantly lower accuracy for the prediction of cerebrovasospasm was found for plasma copeptin level compared with other clinical grade such as WFNS and modified Fisher grade.

This paper focuses on the impact of plasma geometry on the power decay length (λq) and the spreading factor (S). Numerical heat flux profiles, obtained with the simple SOL transport model MONALISA, agree with theoretical predictions for purely diffusive cylindrical plasmas: λq does not depend on the machine-specific divertor geometry but only on transport parameters and global geometry (a, R, k).