Sentence examples for predictions when using from inspiring English sources

These are in general agreement with earlier predictions when using the Miami model to estimate NPP across Australia [9].

This model is designed to give accurate and precise predictions when using a small training set size compared to the number of possibly correlated predictors.

The two effective glass transition temperatures vary with composition, in agreement with the self-concentration model predictions when using the Kuhn's segment length for each component.

In particular, it was shown that very localised stress concentrations, which are characterised by high stress gradients in all directions, give rise to very conservative fatigue-limit predictions when using standard assessment methods.

The strain energy functions selected for use with the finite element analysis are the Yeoh and third-order Ogden model as these formulations have been previously shown by the authors to satisfy the required Maxwell equal area rule and provide the most consistent predictions when using different mixes of experimental stress-strain data.

It is also shown that multilayer plasticity based on the Mróz kinematic rule yields clearly different multiaxial predictions when using the same uniaxial bilinear curve and different number of surfaces, which is a priori inconsistent since the same monotonic stress strain curve should not result into a clearly different multiaxial behavior simply because of the discretization employed by the user.

Both ccSOL and PROSO II perform accurate predictions when used to respectively predict endogenous or heterologous soluble expressions [ ccSOL: 76% accuracy; PROSO II: 75% accuracy (Smialowski et al., 2012)].

The approach is shown to make reasonable predictions when used to calculate failure probabilities for irradiation experiments of the New Production – Modular High Temperature Gas Cooled Reactor Program.

This demonstrates that an exposed bedrock layer can help constrain shallow soil thickness predictions when used in conjunction with geostatistical approaches such as GLMRK and RFRK for mapping soil thickness.

Except for the sequence profiles obtained by PSI-BLAST [19], we found that the predicted secondary structure and solvent accessibility information can enhance the accuracy of the torsion angle predictions when used in a coherent training.

Meanwhile, they produced the best predictions when used alone and had the most negative effects when omitted from analysis, see Table  1.