Sentence examples for degrees roughness from inspiring English sources

The top panel of Figure 7 plots the results as presented in ref (78), where the four surfaces mentioned in the legend have different degrees roughness, starting from completely flat (surface a) to a very rough surface (surface d).

It was deduced that a relatively porous and weak interfacial zone in the concrete with granite particles deferred fractures to reach critical length and thus, more energy is consumed for the coalescence of cracks, resulting in a fracture surface with high degree roughness and fractal dimension.

Interestingly, a single copy of the Caf1p55 med mutation in GMR-Gal4;flies1 flies resulted in adult eyes with varying degrees of roughness that ranged from a strong suppression to no effect on the rough eye phenotype (data not shown).

With this result, we will find the relationship of luminous intensity and efficiency corresponds to different degrees of roughness.

We also proved that the coating technology can be applied effectively to surfaces with different degrees of roughness.

This evaluation facilitated the definition of geomorphometric domains with different degrees of roughness (fractal dimension) and elevation (semivariogram).

Two parts are discerned in this paper: first different degrees of roughness were introduced on the steel substrates.

The reproducibility of the emission parameters under specific growth conditions is excellent, even though the interfaces themselves have varying degrees of roughness.

Moreover, the influence of vehicle pre-load and different degrees of roughness excitation on the resulting wheel track interaction is studied by means of numerical predictions.

Different degrees in roughness result in different perceptibility because while it is difficult for the human eyes to identify the subtle changes in a highly rough image, it is easy to identify such changes in a smooth image.

Different degrees in roughness result in different perceptibility because while it is difficult for naked eyes to identify the subtle changes in a highly rough image, it is easy to identify those changes in a smooth image [8 11].