Sentence examples for model parameters indicated from inspiring English sources

IRT model parameters indicated excellent M-TOQ psychometric properties.

The sensitivity analysis of the model parameters indicated that the reaction kinetics parameters are the major source of uncertainty in the modelling of photocatalytic reactors.

Analysis of the posterior distributions of model parameters indicated that the size of intersection, the traffic conditions by turning movement, and the coordination of signal phase have significant impacts on intersection safety.

These basic model parameters indicated that toxicant stress was compensated to a large extent for up to 24 36 h after initiation of MPP+ exposure.

First, parts of the original model, for which there is no counterpart in the hybrid model (parameters indicated with * in Table 1 and Table 2), and that are not active at narrow range perturbations, have in fact an essential or modulatory effect at wide range perturbations.

When treated with MP, the model parameters indicated that the more resistant cell lines (P12 and Molt-4 resistant) had a higher rate of TGN incorporation into the DNA of viable cells (f, increased 1.4 and 2-fold, P<0.01) relative to the Molt-4 sensitive cell line.

Further investigation on the adjustment of the gravity model parameters indicates particular sensitivity to network congestion.

Our models also indicate that, for simple, uniaxial loading, square tessellations are least sensitive and hexagon tessellations most sensitive to changes in model parameters, indicating that hexagon tessellations are the most "tunable" to specific mechanical properties.

Sensitivity analyses performed on the optimized model parameters indicate that the rates of PCE and cis-1,2-dichloroethene (cis-DCE) transformation and Dehalococcoides growth govern bioenhanced dissolution, as long as electron donor (i.e., hydrogen flux) is not limiting.

A powerful property of this architecture that can be seen in Figure 10C is that prior to the increase in performance there is large adaptation of the model parameters indicating the learning process.

All these conditions may be easily achieved (up to some point) with realistic values of the model parameters, indicating that power-law distributions of the permanence times in the up state are plausible to be found in actual cortical media.