Sentence examples for sample structure for from inspiring English sources

The sample structure for these measurements is shown in Figure 3b for p-doped a-Si H.

The surface morphology of self-assembled QDs is a key factor in determining its optical properties, and it is very sensitive to the sample structure, for example, the composition of buffer layer [16], surface reconstruction, and substrate orientation [17].

From these calculations and simulations we propose a practical multiple cell sample structure for use in commercial rectangular TE102 cavities that yields 2.0 2.3 times higher sensitivity relative to a single flat-cell in the nodal orientation.

Figure 1 Schematic sample structures for (a) samples 1, 2, 3, and (b) sample 4. The thickness of the lattice-matched N-based intrinsic regions is ranging from 300 to 1,300 nm.

We could also get the estimated PSD using coprime sampling structure for this QPSK signal as shown in Figure 15.

Using the relationship of autocorrelation and the PSD described in Section 3, we could obtain the estimated PSD using nested sampling structure for this QPSK signal as shown in Figure 13.

In order to illustrate the pragmatic implementation of this technical tool and its underlying concept, we present a WISE sample structure tailored for the requirements of the interdisciplinary orofacial pain unit at the University of Zurich, Switzerland, where patients seek care for a broad variety of musculoskeletal, neuropathic and idiopathic orofacial pains conditions.

The hierarchy of the sample structure allows for quick and easy location of the single nanopore in AFM.

For each RNAG experiment described in Section 3, we sampled a burn-in period of 1000 iterations, and used the next 1000 sampled structures for clustering and calculation of the centroid.

Sample structure may differ for different genomic regions, and adjustment for local stratification may be instructive to accurately localize true signals [ 19, 20].

Finally, we also used the Genome-wide Efficient Mixedevelopedssociation (GEMMA) approach developed by Zhou and Stephens [ 18], that also uses a standard linear mixed model to account for sample structure but, in contrast with the two preceding approximate methods, provides an exact test for significance.