Sentence examples similar to stemming from temporal misalignments from inspiring English sources

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Importantly, the degradation of directional selectivity at high frequencies in our model stems from temporal filtering intrinsic to synaptic integration at the membrane – a general, basic neuronal property.

φ sample is the phase angle of the complex reflection coefficient of the sample and φ shift stems from the misalignment d of the sample and reference, as φ shift=4π d cosα i /λ.

The risk of that happening, he said, stemmed from the most basic of misalignments in the economy, between demand, which is rising sharply, and supply, which cannot keep pace.

Diurnal cycles of ground-level ozone and its precursor NOx concentrations stem from and reflect complex temporal patterning of many underlying factors, including transportation emissions.

However, some caution is appropriate in interpreting these temporal lobe findings as they stemmed from three and four men for left and right temporal lobe WMH respectively.

Relying on this overall poor correlation, we anticipated that the inter-individual variation in cell-state distribution (Figs. 3c and 4c,e) stems from inter-individual variation in temporal cell-state dynamics.

When misalignment stems from hidden actions, executives can bring those actions to the surface unhide them, as it were by creating a contract that rewards or penalizes partners based on outcomes.

One possibility is that the effect of misalignment stems from a weakening of the perceptual grouping of the face parts, which thereby allows the top and bottom halves of the face to be perceived more independently.

The temporal conductivity relaxation stems from the dynamics of surface exchange and diffusion of protons, and can be modeled as an exponential relaxation that is common to thin film devices22.

However, some temporal predictors may stem from rather unreliable motion vectors.

However, these variants are less accurate due to the loss of temporal information (this stems from the use of GMMs in the modeling) buried in the speech signal.

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