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These models were later extended [ 40, 41], to account for new observations of simultaneous utilization where the growth rate is higher on the two substrates together than the maximal growth rate on either substrate alone.
The bridge pier models were later analyzed using finite element software i.e. Seismostruct and the results were compared with the experimentally tested results in terms of energy dissipation capacity of retrofitted bridge piers.
On the same dataset, topic models were later used to discover human interactions from the proximity data [30].
These models were later used to obtain results regarding the degree to which performance can be improved if morphological information is introduced into the speech recognition algorithm without introducing context-dependent models.
Final models were later tested in PGLS analyses to estimate the relative contribution of each factor in the models.
These models were later also used in network simulations taking into account the connectivity between lobula plate cells of the horizontal (HS- and CH-cells; [53]) and of the vertical system [54].
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Advanced techniques of mathematical and computer modeling were later applied to this problem.
Several extensions and modifications of the BH model were later envisaged [12, 13, 26].
The predictions from this simple model were later confirmed by experimental analysis and our new model analyses.
Anatomical components reconstructed in the model were later identified by comparison to earlier studies of honeybee neck anatomy [12] [14].
Subsequently, previously identified covariates which were not statistically significant (p > 0.05) within the ANCOVA model were later removed from the ANCOVA models for sunitinib and SU12662.
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