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Although the model only incorporated a temperature gradient, it does integrate the indirect effects of cold on other environmental conditions.
For example, the implementation of prestige and similarity bias in the present model only incorporated certain, simplified aspects of these processes, ignoring for example potential runaway prestige effects [22], prestige hierarchies [20] and the consequences of similarity bias on individual variation [32], [33].
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The first model only incorporates three key variables (controlling for province dummies): logged size, year dummy, and the interaction between them.
The presented model only incorporates the simplest possible ecological interference, namely limitation of disease spread when host is super-infected by a new diseases.
This anomaly may be explained by the fact that our model only incorporates the biomechanical behavior of the cell, whereas there is some signaling pathway that stimulates the growth factors when cells adhere to substrate.
However, it should be stressed that for our model a quantitative analysis of the scanning behavior is irrelevant because the model only incorporates our observations that (even blind) males never scan in daylight, while they always scan in the dark, independent of their genotype with the exception of Poxn-pRes; Or83b2 males that virtually do not court in the dark (Figure 3C).
The first model only incorporates neutral evolution expectations along the phylogenetic tree according to a Brownian motion (BM) process.
Therefore, in order to increase statistical power, the between-subject variables were dropped and a restricted model, only incorporating the within-subject variables (segmentation scheme and hemisphere) is presented here.
Moreover, these models only incorporate costs associated with purchasing and operating baggage screening security devices.
The models only incorporate the risk from ecological and demographic factors and ignore the modulation of risk through human intervention such as measures to control the spread of parasites or vectors.
For example, models only incorporating age and sex (Approach 1) estimated much smaller inter-provincial differences in per capita need than models that also employed measures of health status (Approach 2).
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