Apart from compressing the data into one dimension (Section 6.13.3), there is essentially no difference in the total background in CC mode and that encountered in the timed exposure mode.
However, given the larger dimension (section ∼200 μm) of a mammalian nucleus, this method requires high laser power, not practical with standard microscopes or live cell microscopy due to phototoxicity effects.
The state matrix has two dimensions: section and decomposition stage as shown in Figure 9.
The result of the 'Network dimensioning' section is a bill of resources.
In "Context-aware computing and its computational, technical, and urban dimensions" section, we delve into the urban, computational, technical, and conceptual dimensions of context-aware computing.
The two small case letter abbreviations of the Bravais lattice type in the second column follow the crystallographic standard convention [25], see also Fig. 1 and the "Bravais lattice types in two dimensions" section.
This is because there is no crystallographic origin convention [25] for this particular combination of plane symmetry group and Bravais lattice type (as already mentioned in the "Bravais lattice types in two dimensions" section), so that there is arbitrariness in the selection of the lattice parameters in direct space.
Only when the lattice parameter extraction results required the assignment of an oblique Bravais lattice type, we did so and consider this as definitive because the corresponding translations symmetry is at the bottom of the translation symmetry hierarchy as discussed in the "Bravais lattice types in two dimensions" section.
We will expand on all of this elsewhere (in other papers) but feel compelled to discuss Bravais lattice types in 2D in the following "Bravais lattice types in two dimensions" section of this paper, see Fig. 1 and Table 1, because there are related misconceptions in the wider scientific community, e.g., [30 32], and even misrepresentations in the scientific literature [33].
An important modeling simplification relates to the aspect ratio, α, the ratio of an urban area's windward to crosswind dimensions (section 2.3.3).
The first three dimensions were chosen for these graphical displays (correlation values between latent variables equal to 0.97, 0.94 and 0.95 respectively on each dimension, before decreasing for the following dimensions, Section 'Methods' gives the original references to the parameters tuning for the different approaches in mixOmics).
