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In line with previous results [9], [11], GFP-H-RasG12V exhibited pure lateral diffusion on the plasma membrane, evident by a τ (40×)/τ (63×) ratio of 1.9±0.2, not significantly different from the ratio between the areas illuminated by the two objectives (2.3±0.4, P>0.1; Figure 2A).
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In a case study, the stated problem was converted to a one-objective problem by weighting the two objectives together.
When the prisms used are of the Porro type (see optics: Reflecting prisms), they also provide better depth perception at greater distances by allowing the two objectives to be set farther apart than the eyepieces.
The optimal solutions of the two-objective optimization problem consist of a Pareto set, which can be solved by transforming the two objectives of (13) into a single objective.
This WM-MOGA process returns a set of solutions that form a Pareto front on the solutions space formed by the two objective functions.
In this paper, we present a novel robustness measure that combines the two objectives by minimizing the expected travel time while bounding the relative regret in each scenario facing uncertain origin-destination demand (OD demand).
We can achieve the two objectives by solving the two subproblems below sequentially.
Immervoll and Pearson (2009) point at the countervailing impacts in terms of wage effects, reinforced by the competition effect112, on the two objectives.
We develop a theoretical model of fiscal decentralization, where overall national economic growth and equity in the regional distribution of fiscal resources are the two objectives pursued by the central government.
By weighting the relative importance of the two objectives, the differences with respect to the base cost minimization solution can be ascertained.
The two objectives formulated by Eqs. 1 and 2 minimize TSA and TWET.
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