We showed by numerical examples that the reconstruction of a few low moments of the doping profile is possible when relatively accurate time-dependent or time-independent measurements are available, even though the later reconstruction is less accurate than the former.
This implies that a broader anti-CSC profile is possible through NSGMs, which should enhance the clinical relevance of these novel molecules.
Although not tested here, it is possible that CYP81F2 has majority control over the expression of the proportion of indolic compounds under some conditions and thus, fine-tuning of the specific glucosinolate profile is possible and would be selectively advantageous under some environments.
By retaining filgrastim as the core of the molecule, a predictable safety profile was possible because pegfilgrastim, like endogenous G-CSF, is specific for only one receptor.
The paper shows that manufacturing thin-walled timber profiles is possible.
Since the signal transduction pathways, in which stress affects gene transcription, is recently well-understood, this approach might suggest that the diagnosis of environmental quality by transcriptional profiling is possible [33].
With the advent of new technologies, the elucidation of the genome-wide methylation profiles is possible.
Therefore, crab-eating macaque microarray chips could be designed for specific experiments and more rapid and accurate gene expression profiling is possible in a single experiment.
Clinically, using RF, tumour class discovery of renal cell carcinoma based on tissue microarray profiling is possible, and this could not be explained by clinicopathological variables (Shi et al, 2005).
When the phase wrapping information is lost, proper reconstruction of the permittivity and conductivity profiles is possible only in simple cases: when the contrast in the field of view is low, when the reconstruction occurs at low frequencies (i.e. with long wavelength signals), or when a good initial guess is provided to the algorithm.
A coherent discrimination of soil profiles was possible by combining spectral data and pedological distance metrics where 30% of the soil classes could be individually clustered as follow: Ferralsol, Nitisol, Acrisol, Lixisol, Arenosol, Gleysol, Cambisol, and Leptsol.
