Sentence examples for simulated modes from inspiring English sources

The position of simulated modes is presented by a circle.

In Figure 5, we also simulated mode selection algorithms with the A5 antenna grouping algorithm with the same condition.

CAT item usage was found to be the single best predictor of detecting simulated mode effects, followed by absolute item difficulty.

Since both RZ and Δ CrI can have negative and positive values that are indicative of mode DIF, we first fit a logistic regression model with a quadratic term (i.e., RZ + RZ and Δ CrI + Δ CrI for robust Z and credible interval models, respectively) to predict simulated mode DIF.

We improved parameterizations of the travelling normal atmospheric mode (NAM) forcing in the general circulation model and simulated different modes of stationary PWs and travelling NAMs taking into account dynamical and heating effects of stationary OGWs.

Correct Detection of Mode Effects = true positive detection of mode DIF among items simulated with mode DIF; AUC = area under the ROC curve; CI = 95% confidence interval; IRT = item response theory model used to generate response data and parameters used in CAT; CAT item usage = number of times a given item was administered by CAT divided by 100; * p <.05; ** p <.01.

Incorrect detection of mode effects = False positive identification of DIF due to mode among items not simulated with mode DIF; AUC = area under the ROC curve; CI = 95% confidence interval; IRT = item response theory model used to generate response data and parameters used in CAT; CAT item usage = number of times a given item was administered by CAT divided by 100; * p <.05; ** p <.01.

Fig. 4 Comparison of the evolution/propagation of the simulated MJO modes using: a B-M scheme with BL dynamics, b B-M scheme without BL dynamics, c Kuo scheme without BL dynamics, and d WAE scheme without BL dynamics.

Taken together, the strain and stress data from the different simulated RNPT modes and intensities demonstrated that tissue loads which are actually applied in and around the wound, and at the different tissue components of the wound, can differ substantially from the pressure levels that are set in the device during therapy sessions.

We simulated passive modes without gain or absorption (i.e. the refractive indices in the system are real numbers) using Comsol Multiphysics 3.5a.

Interestingly, mode hybridizations exist between the fundamental mode M1 and the respective PSSW modes N2 and N4, as borne out by the simulated hybridized mode profiles.