In order to validate our approach, we tested it in a sample of firefighting teams completing a training scenario.
As a first step in validating this approach, we tested the hypothesis that population-level variation in the 3D shape of the face and skeleton significantly covaries.
Each approach we tested failed to capture some subset of species and communities, highlighting the importance of explicit conservation targets and consideration of ecological processes.
To prove the efficacy of our approach, we tested this design on Microcystis aeruginosa with microvirin (Mvn), the lectin endogenously produced by this cyanobacterium.
Therefore, in order to evaluate the effectiveness of our approach, we tested the proposed localization algorithm in a real wireless network scenario implemented in an outdoor environment, as shown in Figure 8.
In order to demonstrate the effectiveness of our approach, we tested it by solving eight benchmark problems of compliance minimization with variations in load cases, boundary conditions and topological details.
Based on this approach, we tested subitizing ability under conditions of reduced attentional resources.
To validate the applicability of this approach we tested two proteins with known expression patterns.
Using this comparative approach, we tested whether the conservation of gene expression is correlated with species divergence time.
Using the Fix-Sort-ChIP approach, we tested the association of c-Myb with the CCNB1 and CCNE1 gene promoters.
