This is extracted from the shape of the differential capacitance (C) vs. applied potential (E) curves.
The shape of the differential conductance and susceptance is discussed in connection to the faradaic and capacitive parameters, in order to guide the reader through the understanding of the system.
Still several pertinent questions remain, which include the question on how the parameter a influences the shape of the differential equation satisfied by (_{a}mathtt{B}_{b, p, c}).
Note that due to the peculiarities of the approach in deriving the μ n (T n ) dependences, as explained above, the shape of the differential mobilities as functions of the electric field is the same as those shown in Figure 2 for the TE and CA models.
For numerical analysis of spectral lines' shape, all differential spectra of secondary electrons were integrated in an identical manner considering 1/E factor and subtractions of a general background distribution curve for inelastic electron scattering and Auger line shapes from direct spectra (i.e., SBL procedure) and using cos2 x extrapolation for component peaks in procedure of fitting.
Therefore, in this paper, we attempted to investigate the structural evolution in PLLA during the shape memory process by means of differential scanning calorimetry, dynamic mechanical analysis (DMA), optical birefringence and wide-angle X-ray diffraction measurements.
These include unique and authoritative treatments of differential geometry, shape elasticity, surface flow and diffusion, interleaf membrane friction, phase transitions, electroelasticity and flexoelectricity, and computational modelling.
Since our hypothesis was that lamina shape variation was a product of differential gene regulation arising from interspecific polymorphism(s) within the leaf QTL interval, we narrowed our focus to the genes with eQTL surpassing the significance threshold in this region.
Figure 1: Assessment of differential expression analysis.
