Sentence examples for predictions are dependent from inspiring English sources
The vapor pressures of two important cannabinoids, cannabidiol (CBD) and Δ9-tetrahydrocannabinol (Δ9-THC), are presented, as well as the predicted normal boiling temperature (NBT) and the predicted critical constants (these predictions are dependent on the vapor pressure data).
These predictions are dependent on maintaining support for the industry and creative arts higher education.
Airfoil noise predictions are dependent on aerodynamic input data and time dependent Computational Fluid Dynamics (CFD) calculations are carried out to solve for the aerodynamic solution.
However, these models only represent an approximation of the real dynamic process and their predictions are dependent on a set of parameter values.
We refer to these meteorological inputs as the 'model forcing' as the model predictions are dependent on this input.
Even in cases where a sliding window is used, predictions are dependent on the neighbouring amino acids, but not usually directly on neighbouring predictions.
However, this criterion proved to be of limited practical usefulness, as its predictions were dependent on a characteristic length.
It should however be emphasized that the quality of predictions is dependent on the quality of the binding site descriptions, and the result does not necessarily imply that other predicted factors bind.
In any study, the ability to make accurate exposure or biomarker predictions is dependent upon the model applicability (e.g., how well the model describes the exposure biomarker relationship), existing knowledge about the likely exposure scenarios (e.g., frequency of exposure), and measurement error (Tan et al. 2012).
As the accuracies of prediction are dependent on the prior distribution of samples, we used balanced accuracies computed by (sensitivity + specificity)/2.
However, as is true for classical predictors, the utility of genetic risk prediction is dependent not just on predictive accuracy, but also on cost and the ability of clinicians and patients to effectively use this information.
