Sentence examples for modeling predictions and from inspiring English sources

Some modeling predictions and directions for further studies of locomotor CPG organization are discussed.

These limitations often undermine the veracity of modeling predictions and raise the question of their utility.

These modeling predictions and tools are the first step to advance rational and optimized use of tPCS and CES.

The Mirror Station (MS) was designed to validate modeling predictions and to study the suppression of deposition inside of diagnostic ducts.

These experimental results agree with theoretical modeling predictions, and suggest that the semi-permeable and biocompatible PDMS can be successfully adopted as the contacting membrane in an integrated sensor design to quantify pressure and oxygen content in blood.

Agreement between modeling predictions and measurement has been realized, which turns out an effective method that enables us to estimate the extent of surface oxidation of a specimen by measuring the porosity dependent dielectric response of the chemically passivated PS, and provides guidelines that could be useful for designing dielectric porous structures with surface oxidation.

We examine the performance of the Global Self-Consistent Mofel of Thermosphere, Ionosphere and Protonosphere (GSM TIP) and International Reference Ionosphere-2000 Ionosphere-2000 IRI-2000 IRI-2000ing predictions with the ionosonde and incomparethecatter radar observations over Yakutsk, Irkutsk, modelinge Hill and Arecibo stations.

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.

To test and confirm modeling predictions, we examined the effect of Ole and HT on HIV-1 integrase activities including 3′-processing, strand transfer, and disintegration.

This process was limited by constraints to manufacturing inputs, capabilities, and modeling predictions.

The modeling predictions on texture formation and disclination structures are quantitatively validated with extensive experimental data.