Sentence examples for predictions for low from inspiring English sources
The lowest-order perturbation equation set is shown to yield adequate acoustic predictions for low Mach number flows.
Point and area shading denote antibody titer (darkest shades match highest titers: light shade and dark shade respectively show model predictions for low (4 µg/ml) and high (40 µg/ml) titers).
Conclusions suggest revising model parameters can provide accurate predictions for low CaO ashes and moderately conservative predictions for higher CaO ashes.
An attempt is made to obtain information as to what are the physical parameters responsible for the observed deviations in the profiles and thereby to suggest some possible improvements in the methods used for model predictions for low latitudes.
From this comparative study one can also obtain information as to what are the physical parameters responsible for the observed deviations in the profiles and thereby suggest some possible improvements in the methods used for IRI predictions for low latitudes.
A clear lower limit below which IPT is not cost-effective is not obvious: care should be taken with interpretation since the model was created using data mainly from medium and high transmission settings and so there is greater uncertainty in predictions for low transmission intensity settings.
A slope of < 1 indicates that low predictions for chronic low back pain are too low and high predictions are too high, which means that the model is too optimistic [ 34].
The GROW chart provided a significantly (or borderline significantly) better prediction for low Apgar score at 5 min admission to NNU for both SGA and LGA infants.
These phenomena influence the magnitude of the burning area and burning area rate response of the flame at lower frequency excitation more drastically than reduced-order model (ROM) predictions even for low temperature ratios.
The photoelastic stress analysis outcome fully confirms the analytical predictions for both low and high eccentricity loadings.
This demonstrates that the proposed model is effective in the high cycle fatigue strength prediction model for low plasticity burnished samples.
