Sentence examples for modeling predictions are from inspiring English sources

Exact(7)

Results from modeling predictions are presented as 1) predicted GMTs for anti-HPV-16 and anti-HPV-18 antibodies at 20 y after the first vaccine dose, and 2) predicted time after first vaccination at which 95% of women will still have antibody titers above natural infection titers.

The modeling predictions are compared with different sets of measurements.

Such modeling predictions are invaluable for screening of potential sites and optimal design of geothermal systems consisting of multiple GHEs.

Modeling predictions are compared to measurements using a diagram combining the acoustical response of the burner and measurements of the flame transfer functions.

Indeed it could be considered logical that compound ranking depends more on compound descriptors (where in this case ECFP_6 fingerprints were employed), which were kept constant In PCM modeling predictions are always dependent on both descriptors types.

Modeling predictions are in reasonably good agreement with the experimental observations for the fuels investigated, even though the NO reduction potential is overpredicted for methane and underpredicted for ethane.

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Furthermore, the modeling predictions were validated using experimental data.

Modeling predictions were in good agreement with data from the present work as well as results at elevated pressure from literature.

Validation of modeling predictions was achieved in that the effect of HCl on the CO burnout showed excellent agreement with available independent laboratory data.

These modeling predictions were validated and further refined by ex vivo fluence rate and thermographic measurements, as well as in vivo plasmonic photothermal heating of PEG-NR-containing ovarian tumors and nontumor tissues.

Since the above pharmacokinetic studies and others involving pharmacokinetic modeling predictions were conducted over only a short period (generally ≤ 14 days) and in a small number of patients, there remained a need to evaluate low-dose APV/RTV combinations in large populations of HIV-1-infected patients over a therapeutically relevant period.

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