Because of the weighting of indicators, the method can be adjusted to the objectives of the research group.
An absolute quantification method was not possible because the phospholipid standards contained mixtures of fatty acid tails with a common headgroup, but this relative quantitation method can be adjusted for use with many phospholipids of interest.
We compared the performance of this method to various algorithms; experimental results demonstrate that the proposed method can be adjusted with a small sample set to fit the changed model.
The method can be adjusted to different ranges, according to the needs.
In addition, by relaxing one-by-one relation between suppliers and customers, the proposed model and solution method can be adjusted to planning other distribution strategies which can be considered as another future researches.
The method can be adjusted at several levels: 1) non-rRNA-annealing-primers can be used during reverse transcription 2) a choice for certain restriction enzymes can be made to diminish the chance of rRNA digestion and subsequent amplification, and 3) rRNA-blocking oligos can be used during the reverse transcription to halt cDNA synthesis on an rRNA template.
Since these model settings represent large classes of dynamic models and because the HC-PLSR method can be adjusted to suite the complexity of the dynamic model behaviour in a very flexible way inviting automation, it qualifies as a promising candidate approach for metamodelling within systems biology.
Using this method, we show that with a scarce knowledge of the node affiliations, multiresolution methods can be adjusted to retrieve the Autonomous Systems, significantly improving the results of classical single-resolution methods.
This method can be used to adjust the magnitude and phase of the third-order currents at output, and thus ensure that they cancel each other out.
Because accuracy decreases in steel surface classification systems with a changed production line model, in this research, we propose an evolutionary method that can be adjusted with a small sample set to fit a changed model and maintain relatively high accuracy.
