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We can change the signs of the 1D projections of a perfect autocorrelation array A 1 to produce a perfect autocorrelation array A 2, such that A 1 ⊗ A 2 has the lowest possible values.
Last but not least, it is projected in Fig. 5c that the higher polymer concentration can be achieved if the polymer and NaCl concentrations set to highest and lowest possible values, respectively.
This means the distribution of periodic cross-correlation values shifts from full occupation of the lowest possible values to partial occupation of that level and partial occupation of the adjacent next-to-lowest levels.
In the second phase, for each of the sub-problems the quality levels offered to users are set to their lowest possible values and the allocation of demand to transceivers is extracted.
This, however, yielded rather trivial results: the pumps and enzymes quickly evolved the lowest possible values of KM and the highest possible values of Vmax.
In order to separate analytes electrophoretically in the nano ES capillary of a standard GEMMA instrument we reduced Δ ppsid and Δ psheath to lowest possible values.
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For instance, if p(A) = 90% and pA(B) = 90% the lowest possible value for p(B) is 81%.
Secondly, by being foresighted he will tend to reduce his discount rate to the lowest possible value.
Therefore, for our proposed case, we can start with the lowest possible value of K and loop through the highest possible value of K.
Rule J: When choosing a bond closure symbol, the lowest value available should be used (where 1 is the lowest possible value).
We fixed the value of τ=3 unless stated otherwise and experimented with different values of ε for each dataset, starting with the lowest possible value.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com