An intermediate approach with multi-point kinetics is appropriate and relatively easy to implement for analysis of several asymmetric transients for large cores.
The IBD-GS method is thus easier to implement for analysis of selectively genotyped and sparse marker data and of phenotypic data that do not necessarily fit the idealized conditions that are typically assumed in stochastic simulation studies.
In the second period, the opposite was seen, and we hypothesized that a possible cause for the difference was the improvement of isolation technique by the senders of the samples, as a result of implemented methods for analysis of foods such as the introduction of new selective culture media [ 27, 28].
The implemented methodology for analysis of both culture media and perchloric acid cellular extracts provides unique and complimentary metabolic information, which affords a more complete picture of the metabolic transformations associated with each of the specific actions undertaken for challenging cancer cell metabolism.
At stand level, the model was implemented for theoretical analysis of the effects of environmental changes on forest ecosystems in West Europe and for the quantification of the efficiency of different types of forest thinning.
The reconstruction workflow and parameters were absolutely identical to those implemented for the analysis of experimental data, including the step of the initial source location.
The main system components are: (i) the algorithms implemented for the analysis of digitized mammograms to recognize suspicious lesions, (ii) the database of digitized mammographic images, and (iii) the PC-based digitization and analysis workstation and its user interface.
Predictions based on numerical modelling are considered more appropriate, and, since debris and sediment flows exhibit similar behaviour to tailings flows, numerical models implemented for the analysis of rapid landslide run-out are suitable for the modelling of tailings dynamics.
The method, however, is not limited to the processing of two-dimensional data and can be equally implemented for the analysis of three- or multidimensional data stacks.
