It can be formulated as a sparse signal estimation problem by defining the dictionary Φ gathering all the possible modes obtained by sampling α (P samples) and f (K samples) on a 2-D grid.
It directly corresponds to the sampling frequency F s (sampling time T s ).
Let x(n) be a discrete-time signal sampled at F s sampling rate.
(f) Sample functional ROIs that show activity during visuomotor behavior.
The abrasion resistance and hardness values of the composites follow the trend: Sample B > Sample A > Sample E > Sample D = Sample F > Sample C (Table 2).
The final results were calculated according to Equation 1 below: Φ sample = A std A sample × F sample F std × n sample 2 n std 2 × Φ std (1).
Fig. 6 Grain diameter distributions for each of the twelve sandstones sampled from exploration well EPS-1 at Soultz-sous-Forêts (Alsace, France): a Sample 84, b sample 100, c sample 157, d sample 198, e sample 248, f sample 299, g sample 347, h sample 402, i sample 453, j sample 497, k sample 508, l sample 540.
FE-SEM images of photoanodes for (e) sample 1, (f) sample 2, (g) sample 3, and (h) sample 4. The scale bar is 100 nm for all SEM images.
Fig. 8 Backscattered scanning electron microscope (BSE) images for each of the twelve sandstones sampled from exploration well EPS-1 at Soultz-sous-Forêts (Alsace, France): a Sample 84, b sample 100, c sample 157, d sample 198, e sample 248, f sample 299, g sample 347, h sample 402, i sample 453, j sample 497, k sample 508, l sample 540.
Table 1 Growth parameters of ZnO nanowire arrays Sample Growth temperature (°C) Growth time (h) Concentration of precursors (M) Sample A 73 2 0.025 Sample B 83 2 0.025 Sample C 93 2 0.025 Sample D 93 1 0.025 Sample E 93 3 0.025 Sample F 93 4 0.025 Sample G 93 2 0.01 Sample H 93 2 0.05 Sample I 93 2 0.1.
The volume fraction of rubber in the swollen network (V r) for the studied rubber composites follows the trend: Sample B > Sample E > Sample C > Sample D > Sample A > Sample F (Table 2).
