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In order to determine if low amplitudes – ones that cause dynamics to oscillate around the endemic equilibrium – could improve statistical identifiability, data sets X A for small positive values of A were generated using the general model (1) and parameters Θ0.
Using the general model, the limitations of the simplified model employed in an earlier publication are illustrated.
Moreover, a parametric analysis is conducted to compare the theoretical results obtained using the general model and the calculation methods proposed in fib Model Code 2010 and Eurocode 2, and it emerges that both standards underestimate the maximum crack spacing and the maximum crack width obtained with the general model.
This hypothesis can be tested using the general model
Using the general model of neural network dynamics described in Materials and Methods, we have simulated spontaneous activity in a neural network whose architecture resembles the patchy structure of horizontal connections in the neocortex of macaques and other mammals [17].
We can see this by using the general model f(x) = n��· x m.
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In the present study, we used the general model of interspecific hybridization without introgression that we developed recently (Quilodrán et al. 2014) to analyse and project possible future situations for the native Pelophylax L/ E system in Western Europe.
We performed first- and second-level statistics using the general linear model framework of SPM5 (Friston et al. 2007).
The spatially normalized FA images were smoothed with a 10 mm isotropic Gaussian filter and were statistically modeled using the General Linear Model in SPM5.
BOLD activity related to task blocks and individual trials was modeled using the general linear model.
Volume files were generated using the general linear model described above which provided estimates of the BOLD magnitude associated with discrete visual locations.
More suggestions(15)
using the general duty
using the general permeability
using the recessive model
using the general interest
using the noncompartment model
using the ΔΔCt model
using the random model
using the homeostatic model
using the general fund
using the general approximate
using the general expression
using the above model
using the general theory
using the general equation
using the general procedure
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