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The similarity of the two datasets, in combination with this population's restricted range and seagrass associations [ 1, 2] suggests that the long-term average diet represents the summer diet of the population, which aids interpretation of drivers of habitat use and prey selection in relation to seasonal environmental variation.
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In our study, results are focused on highlighting a functional relationship between key drivers and logistics scenarios to allow interpretation of the drivers' influence on the design of a global logistics network.
Broadly, some are linked to the tumor (heterogeneity), to the tissue (availability, storage, fixative), to the design of specific assays or set of genes, to the interpretation of non-driver mutations and to a possible access to drugs once a target is identified.
Nevertheless, they converge on the same interpretation of the driver's experience.
The model is shown to reduce to the Lighthill–Whitham Richards model within each traffic phase for the case of stationary states, and to have a physical mesoscopic interpretation in terms of drivers' behavior.
In Chapter 2, we review results on continuous population potential games and routing games and discuss linear programming interpretations of individual drivers' decisions and their relationship to the Wardrop equilibria.
Further, no trend variables were collinear, making interpretation of the model with drivers of woody cover change (i.e. Fig. 3) simpler.
Traffic stops based on hanging air fresheners have occurred in lots of states, despite the incredible sweep implicit in such a broad interpretation of the laws on driver visibility.
Although the insights obtained from this data set are highly informative in helping to determine key regions and their likely drivers, the interpretation of biological relevance is restricted to individual gene information, which is often of limited value since it is possible to construe a cancer-related function for most genes.
Statistical problems of autocorrelation render classic interpretations of socio-economic drivers of deforestation problematic [15], and conclusions vary depending on the technique used [8], [28].
Unclear and unsuitable rules on weekly rest, resting facilities, breaks in multi-manning and the absence of rules on the return of drivers to their home, lead to diverging interpretations and enforcement practices in the Member States.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com