Though this model is originally designed for application under normal wind condition, the originality of this paper is the study of the applicability of this model under an extreme wind condition, because this model provides a second-by-second simulation resolution and uses the coherence matrix in frequency domain to describe the coherences of power reduction among wind turbines.
We used the EAC post-hoc analysis to determine the rates for the speculum examination because this model provides the most complete estimate of the underlying prevalence rate.
The probabilistic model proposed here gets a bigger life but, however, it is more precise because this model provides the mean fatigue life, the variance for this life, and a cumulative probability function as Figure 7 shows.
In what follows, we will refer to the hierarchal Bayesian learning model as the "perceptual model," because this model provides a mapping from hidden states (or environmental causes) to sensory inputs (Daunizeau, den Ouden, Pessiglione, Kiebel, Stephan et al. 2010; Daunizeau, den Ouden, Pessiglione, Kiebel, Friston et al. 2010).
The functional form of risk dependency on the distance from the AC plant (exponential decay with a threshold) was chosen because this model provided the best fit to data.
Because the model provides a time series of hydrologic variables affecting surface wetness at hourly and daily intervals, it captures the expansion and contraction of saturated surface regions (i.e., breeding pools) at rates that impact mosquito development.
Stability and longitudinal relations were also examined at the symptom level using a latent variable measurement model because such modeling provides constructs that are theoretically free of measurement error and allows for testing of longitudinal measurement invariance (i.e., enables testing of whether or not study measures are functioning the same at different time points).
The idea that membranes had different components in the inner and outer sides of the membrane was not new, but this hypothesis was taken one step further because the model provided an explanation: The high, free energy of activation necessary for the hydrophilic part of a membrane component to cross the hydrophobic membrane core prevented the random tumbling [ 1].
Because this model system provides not only living cells but also a developing organism, we were able to assess relatively long-term effects of NIR pulses on embryonic development (through the tadpole stage).
