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Alternatively, bioconcentration studies with the freshwater invertebrate H. azteca may support animal welfare considerations using a non-vertebrate species.
The results obtained so far show that bioaccumulation studies with H. azteca may support animal welfare considerations using a non-vertebrate species, improve efficiency and reduce costs for BCF testing.
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We present the results and discuss the trade-off between compactness and relocation considerations using an efficiency frontier.
Although, in terms of epidemiologic considerations, using an infection status determined by a cutoff wastes the available information, such criteria are clinically useful for individual patient decisions.
To take an objective look at decidedly subjective considerations, use a scorecard to quantify and visualize the pros and cons of various choices – taking into consideration the impact each would have on matters of both heart and head.
This element also takes the nonlinearity of the leaflet tissue into consideration using a bilinear material model.
There are a number of potential issues with this study that needs consideration: Using a very simplified model without key dynamics, potential dependency of results to the last few years of temperature development, deep sea heat storage etc.
GPS coordinates of each sampled population were used to retrieve meteorological data at specific locations, and environmental factors likely contributing to T. triandra genetic differentiation were taken into consideration using a correlative approach based on outlier loci distribution.
For an existing heterogeneous material, microstructural geometry was taken into consideration using a simple geometrical parameter for the inhomogenity and the representative volume element (RVE) in which the inhomogenity was embedded.
A paired t-test between the unconscious and conscious scans was conducted on the ratios of six ROIs under consideration (using a Bonferroni correction factor of 6), at equilibrium, i.e. the sum of the last five frames spanning from 38 to 75 min of post-injection.
We generated 10 random networks for each of the four networks under consideration using a degree-preserving stub-rewiring algorithm (Newman et al., 2001).
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