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The results reveal which parameters are most critical for improving the practical solvability.
Experiments are design to determine which parameters are most influential on surface roughness.
This is remarkable when one considers the structural similarity between the two gelator precursors, and the identical chirality of both molecules: indeed, these two parameters are most often used to define and to design self-sorted systems1,2,11.
This model is used to conduct a sensitivity analysis to assess which properties and process parameters are most influential and hence need to be determined most accurately.
A precise knowledge of the thermal effects in laser crystals is very important for high-power laser design, but some relevant parameters are most often neglected in their calculation.
We were able to determine which of these parameters are most effective in reaching our goal and which ones should be adjusted to improve the quality of the patch.
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The criteria parameters and the significant explanatory parameters were most important in modeling the dynamics of the passive treatment system during the study period.
Aircraft noise, rail and road traffic noise caused similar after-effects but physiological sleep parameters were most severely affected by rail noise.
Differences between treatments for the parameters were most pronounced in the upper 10 cm; differences between treatments were not significant below 20 cm.
A plug-in step to infer unknown parameters is most of the time unavoidable to perform these tests.
The identification and quantification of the critical parameters being most sensitive for the system and necessary corrections calculated realistic reservoir temperatures are presented in the following section.
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