FESEM images in Figure 8 are purposely provided to give much clearer images of Al-doped ZnO nanowires with similar growth condition as that of the nanowires in Figure 7.While in Figure 9, EDAX spectra proved the existence of Al as dopant in the respective set of experiment where a significant rise of Al spectrum is showed.
It is additionally shown that the other way around is also possible: the elementary modes belonging to a certain functionality can be computed from the respective set of MCSs.
At the start of each MCMC run, we begin at a state which includes no links (i.e., X= ∅) and where each parameter is set to a value drawn uniformly at random from its respective set of possible values.
To identify those CLOGs that can be associated with metabolic function, we utilize the Enzyme Commison (EC) number of each gene, as obtained from the KEGG database: A CLOG is regarded as metabolic if the respective set of orthologous genes can be assigned to one or more EC numbers associated with a specific enzymatic activity.
In Fig. 3 we show a vertical cross-section of four formations and their respective set of prisms.
A number of hypotheses were generated along with their respective set of aligned conformations.
For each GO term, a Fisher's exact test was performed to determine if a GO term occurs significantly more often in the respective set of up-regulated genes than in the EST library used as population background.
Merging GWAS results and positional genomic information of SNPs, we assembled the respective set of potentially effective genes applying an association weight matrix (AWM) approach [ 23, 29].
Separate SNP sets were built for brown and white layers, respectively, in which SNPs that were monomorphic in the respective set of individuals were removed.
Thus, we added a second order polynomial function of the covariate season to the respective set of candidate GLMMs.
