Our results suggest that use of evocative slides organized according to either a dimensional (e.g., high and low arousal – pleasant, unpleasant and neutral valence) or categorical (e.g., fear, surprise, happiness) models produced robust changes in subjective state but only negligible change in prosodic expression.
Thus, while single-species models produced robust predictive regressions using environmental variables, this approach often did not improve prediction of C in the landscape because of the numerous species involved.
The number of agents, or the computational resolution, is set sufficiently high so that the model produces robust and reproducible results over multiple runs with different seed values for the random number generator.
As demonstrated in current and previous studies, the Bayesian mixing model can produce robust estimates on dietary compositions.
This conservation is indicative of when the study of mechanisms in model organisms will produce robust and stable generalizations.
The analysis should perhaps be replicated with a larger sample size, although studies have demonstrated that Rasch models are able to produce robust estimates for item locations and fit statistics for sample sizes of 100 [ 27].
The model is shown to produce robust large-scale characteristics of the observed MJO, including the coupled Kelvin Rossby wave structure, slow eastward propagation (~5 m/s) over warm pool, the planetary (zonal) scale circulation, the BL low-pressure and moisture convergence preceding major convection, and amplification/decay over warm/cold sea surface temperature (SST) regions.
The disruption of PTEN, via mouse knockout models, has also been noted to produce robust axonal regeneration following a crush injury to the optic nerve [ 124, 125].
The MOG35-55 EAE model has previously been shown to produce robust and reproducible motor dysfunction, demyelination, and neuropathic pain-like behaviors [ 26- 28].
