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The goal of experiments conducted on this dataset is to continuous query the top-k data objects with the largest number of occurrences.
The goal of experiments conducted on this dataset is continuous monitor the top-k locations with the largest number of vehicle passage records.
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The goal of Experiment 1 is to study the behavior of the novel monitoring phase when a characteristic (filter drop probability in our case) changes abruptly.
The goal of Experiment 1a was to provide a baseline measure of processing efficiency before any secondary task load was added.
The goal of Experiment 1 was to examine whether individuals would perform differently when making predictions about real-life objects compared to static images.
The success of our approach is due both to an efficient mechatronic architecture and to the way it is used to achieve the goal of experimenting walking.
The goal of Experiment 2 was to decide whether the presence of real-life objects highlights misleading features, or whether it has the benefit of stabilizing performance away from guessing.
The goal of Experiment 2 was to assess the specificity of the cuing effect by contrasting valid cues (those that matched the target stimulus) with invalid cues (those that did not match the target stimulus).
Therefore, the goal of experiment-prioritization is better approached not by assigning functions to genes in a binary fashion, but rather by prioritizing the most promising novel gene-function associations for future small-scale investigations [19], [49], [50].
The goal of Experiment 3 was to provide a stronger test of these two competing theories.
> The goal of Experiment 5 was to replicate the results of Wolfe and Franzel (1988).
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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