Sentence examples for transformation revealed from inspiring English sources

Molecular analysis of Aspergillus awamori, M. oryzae and U. maydis transformants via A. tumefaciens mediated transformation revealed single copy integrations with 87.5%, 72.6% and 96% frequencies, respectively (de Groot et al., 1998; Ji et al., 2010; Li et al., 2007).

Phenomenological calculation of the cubic D03 parent phase to monoclinic M18R1 martensite transformation revealed that although the magnitude of the shape strain produced by the martensitic transformation is calculated to be rather large (m=0.2005), the average shape deformation of each self-accommodating plate group is rather small.

Temporary, external loading during isothermal interruption of the continuous cooling at different stages of the transformation revealed a decreasing degree of plastic deformation proportional with the decreasing amount of retained austenite, implying that the plastic deformation is predominantly accomplished within the austenite phase.

Neither of the applied tests on nitrogen transformation, potential ammonium oxidation, and on carbon transformation revealed statistically significant differences between the untreated control and soil spiked with dispersant (data not shown).

The SIMPER analysis based on a square-root transformation revealed that the differences between the summit and the NE and SW flanks, respectively, were mostly due to Laminaria rodriguezii (29% and 32%, respectively), Antedon mediterranea (23% both) and encrusting sponges (23% and 16%).

Furthermore, this transformation revealed a connection with CSCs.

Finally, a detailed analysis of the activity patterns in pairs of compounds that share the same molecular transformation reveals multiple types of transforms from an SAR perspective.

A further variable transformation reveals a canonical Minkowski structure, of which the plastic equation exhibits the proper orthochronous Lorentz group symmetry SOo(n, 1).

Surprisingly, GSS transformation reveals large-scale correlation of such deviated regions.

QLT handle linear experimental variations by rescaling all array distributions onto a common average distribution with a linear transformation, revealing any remaining nonlinear experimental variations as deviations of the QLT distributions from the average reference distribution.

Comparison between the values of ' r' in normal lobules and HUT, using Fisher's z-transformation, revealed a difference that almost reached significance (P=0.07).