Sentence examples for transformation in depth from inspiring English sources

From the responses given after the 10 s time limit – 36% of that data required a 45° rotation, 45% required a 90° rotation, while only 19% required no transformation in depth.

The most accurate responses occurred when no transformation in depth was required (0°), more errors were produced during a 45° rotation, and the most errors were generated when a 90° rotation was required.

When faces were upright and required no transformation in depth (0°), the majority of AD participants performed within the 95% CI of the oldest-old controls (see Figure 4A, 4B represents inverted faces).

The majority of the AD group was not impaired when faces were presented upright and no transformation in depth was required, and were most accurate when all faces were presented in frontal views, but accuracy was severely impaired with any rotation or inversion.

However, few is reported on probing tetragonal to monoclinic phase transformation in depth because of sample preparation (sample sectioning) [ 17].

Surface transformation (V0) and transformation factor in depth (T) are obtained by comparing simulation and experience for each sample with nondestructive optical sectioning.

In this work, μ-Raman spectroscopy was used to quantitatively measure the transformation profiles in depth as a function of ageing time at 160 °C, 140 °C, 134 °C and 110 °C.

This optically modified monoclinic fraction profile OF z) is then described by Eq. (3): (3) O F (z ) = e − z 2 0.4 D z 2 × e − μ z × (V 0 × 1 + e − T. z 0 1 + e T (z − z 0 ) ) Where V0 is the monoclinic volume fraction on the surface (z = 0), T is the transformation factor in depth and Z0 is the abscissa of the curve inflection point.

The microstructural evolutions including the grain size distribution and phase transformation were systematically investigated in-depth for different surface coverages.

The results show that meeting the reduction targets set by the European Union 2011 White Paper on Transport will be challenging, requiring an in-depth transformation of the transport and energy sectors.

In the first method, angle gathers are extracted at each downward-continuation step by mapping transformations in constant-depth frequency slices.