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The results show that the proposed approach can converge to the near solution and obtain a competitive solution at critical situation and with a reasonable time.
Local search is an algorithm chooses an optimal solution in the near solution space of the current solution, until it reaches a local optimal solution.
Because the microparticles continuously move in the surrounding fluid (a very dynamic process), the reactions at their surface follow "near solution" kinetics.
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Bead-based multiplexed bioassays have many technical advantages, including near solution-phase kinetics, small sample volume requirements, many within-assay replicates to reduce measurement error, and, for some bead materials, the ability to synthesize analytes directly on beads via solid-phase synthesis.
GD finds the average Euclidean distance from each i-th solution in Q to the nearest solution in P ∗.
One of California's most persistent and divisive water problems is nearing solution.
The following three sets of folds will help crease the dotted lines and demonstrate a near-solution to the puzzle.
Particle-based arrays benefit from (a) "near-solution" kinetics, which means that the kinetics between a molecule bound to the surface of a particle and a free molecule equals those between two free molecules, (b) lower instrument-related costs, (c) higher sample throughput, and (d) good quality control by batch synthesis [ 34, 35].
Particle swarm optimization is used to find a near optimal solution for the formulated problem.
The position of the heaviest mass gives the near optimal solution.
However, the proposed algorithm gives a near optimal solution.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com