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In the small scale of the experimental landscape the explanation can be refuted, since distances between patches were short relative to the size of patches and relative to the forager's mobility.
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A non-dimensional similarity approach was employed for scaling of the experimental facility.
Scaling of the experimental model is discussed through dimensional analysis, identifying the appropriate scaling factors which are then applied to the seismic excitation signals.
This finding leads to a simple scaling of the experimental data to account for cell density differences, obtaining a significant improvement in the quantitative assessment of results.
Assuming a Weibull statistical distribution of defects, for the CDR configuration with no overpressure, we obtain expressions in closed form for the effective area, a parameter that allows the re-scaling of the experimental data to a reference condition (equibiaxial stress on a unitary area) according to a criterion of equal failure probability.
Different from the example discussed above with reference to the TiO2 data in Figure 1B, this approach did not provide proper scaling of the experimental data, as shown in Figure 3C.
Observations of mean, r.m.s. and peak pressures on the roof of a 1 : 50 scale model of the experimental building at the Wind Engineering Research Field Laboratory (WERFL) at Texas Tech University are discussed.
The analysis is applied to pressure measurements on the 1 50 scale model of the experimental building at the Wind Engineering Research Field Laboratory WERFLL), and executed in the Clemson boundary-layer wind tunnel over a range of incident turbulence intensities.
Definitions used in the literature are extremely diverse; they depend on the scale of the study (experimental farm versus national or international studies) and on the traits analysed.
Since fine-scale variability of the experimental site can reduce statistical power, efficiency gains in the experimental design can be achieved if this variation is known and used to design blocking, or some proxy variable is used as a covariate.
We included 220 patients to give enough power to detect a clinically relevant difference of 5 points (about 11%) on the mobility domain of the stroke impact scale in favour of the experimental group.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com