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Particle motion toward the fracture center can be explained by observing the fluid flow field.
This behavior can be explained by observing that, when each sensor has a random orientation, more 'sensor diversity' is necessary to achieve good performance.
The latter effect can easily be explained by observing that we had to fix two quantities, namely V d and ρ a in Equation 8 in order to derive K 1.
The range can be explained by observing that the investigated animal group was heterogeneous with respect to age and weight and, more importantly, that the animal preparation (notably catheterisation and anaesthesia) does necessarily influence the individual animals differently.
The effect of anesthetic drug can be explained by observing that if (lambda^{mathrm{I}}) is below (lambda^{mathrm{I}}_{1}), corresponding to no drug effect, then the mean excitatory synaptic drive is at a high level, which corresponds to an awake state.
The rationale of Controller 3 can be explained by observing that when a robot finds itself approaching another robot, i.e., it is moving in the right direction, it rotates slowly (at the speed ω s ) to try to keep on that direction as long as possible; otherwise, it rotates fast (at the speed ω f ) to try to get to the right direction.
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This was explained by observed reduction in crystallinity and expected increase in free volume as a result of restriction in chain packing.
However, the higher density for the 0.5 vol.% sample can be explained by the observed higher dielectric constant in the present work.
The decrease in the total water yield and lateral water flow and the increase in evapotranspiration and surface runoff depicted in Fig. 19 could be explained by the observed 2013 2020 land use/cover changes (Fig. 18).
This can be explained by the observed higher dN values in non-CES exons and indicates that most of the differences in dN between alternative and constitutive exons can be explained by the conservation of the exonic structure.
Contrary to this MAR assumption it is often plausible in practice that differences in the data distribution between individuals with missing items and those with complete data cannot be explained by the observed data alone, in which case the data are 'Missing Not At Random' (MNAR).
More suggestions(16)
be characterized by observing
be examined by observing
be explained by citing
be evaluated by observing
be measured by observing
be assessed by observing
be done by observing
be improved by observing
be claimed by observing
be determined by observing
be perceived by observing
be proven by observing
be modeled by observing
be understood by observing
be detected by observing
be explained by existing
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com