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This might help in highlighting anomalies in our methodology, in case of significant divergences between obtained results.
A survey in the literature reveals that few experimental studies have been conducted on the effectiveness of the NExT-ERA methodology in case of closely spaced modes specifically.
Firstly, it tests the performance of TPWL methodology in case of multiple transients and secondly changing production and injection controllers plays an important role in determining viable production scenarios which typically arise in flooding optimization problems.
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This has basically to do with the amplicon length which are normally quite short in qPCR methodologies, therefore in case of highly processed matrices it is important to combine the DNA extraction method which does not add to the fragmentation state of DNA molecules; iii) finally, DNA extracts should be adequately free from PCR inhibitors.
It is important to mention that some methodologies apply in case of divergent sequencing depths linear scaling corrections; however we have shown in a previous study that important differences in sequencing depths may give rise to non-linear differences between compared datasets [ 16].
As an example, this methodology was applied in case of dichloromethane.
Unfortunately, our preliminary attempts to implement such a methodology in the case of DI have failed; presumably because of the very poor intrinsic protein solubility of unfolded DI, which resulted in rapid protein aggregation as soon as the concentration of guanidine was reduced.
A methodology for a manufacturability evaluation in case of a subtractive or an additive manufacturing process is developed and implemented in a CAD software.
Basically the presented methodology might be particularly valuable in case of feasible studies (when time, cost and complexity of more detailed approaches would be less appealing) or in case of analysis based on coarse data, when and if more detailed information are not available.
The presented methodology might be particularly valuable in case of feasible studies (when time, cost and complexity of more comprehensive approaches would be less appealing) or in case of analysis based on coarse data, when and if more detailed information are not available.
Numerical examples illustrating the optimization methodology in the case of thermo-elastic stress loads are presented.
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