Sentence examples for confirmation of simulations from inspiring English sources

This allowed us to demonstrate that GECIs, such as GCaMP3, with a natural threshold for spike burst imaging and which are less prone to saturation can also be used for avalanche detection, a direct experimental confirmation of simulations that showed thresholding does not affect avalanche size distributions (Lasse et al., 2009).

These findings are the first direct experimental confirmation of simulation results indicating that atomic size holes are unstable in glasses such that free volume is dispersed randomly.

Current practices in the confirmation of simulation models are examined and criticized from this perspective.

Confirmation of the simulation results with experimental data is essential to better recognize the phenomena taking place in the sealing assembly and improve the design of non-contacting seals so that they can be used in various industrial applications.

Experimental confirmation of the simulation results was obtained by comparing the performance of closed-ended PSi microcavity sensors in the flow-over scheme and open-ended PSi microcavity membrane sensors in the flow-through scheme.

In this paper, we present the first experimental confirmation of these simulation results.

This also represents a confirmation of results from simulations that anticipated superiority of methods performing variable selection and differential shrinkage of estimates, especially with traits having some large-effects QTL (Meuwissen et al. 2001; Daetwyler et al. 2010b).

These data were compared with the simulation model's predictions and provided independent confirmation of the model's validity.

But experimental efforts to use gravitational lensing as an astronomical tool are improving, so visual confirmation of the computer simulation may not be far off.

Overall, the research results highlight a very good agreement and a high level of matching between measured values and simulated results, which is a confirmation of the applied energy simulation tool.

The results of our extensive Monte Carlo simulations provided confirmation of this suggestion: We observed increased bias as the number of untreated subjects matched to each treated subject increased.