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The constraint handling is achieved by three comparative methods using rejection of infeasibles, penalizing infeasibles and tournament selection without using any penalty parameters.
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Moreover, a drastic reduction in both the extraction time (60 and 35 min versus 16 and 8 h, respectively, for the two above commented groups) and sample handling are achieved with similar precision (expressed as repeatability and within laboratory reproducibility standard deviation) to that provided by the AOAC 920.39 method.
Thereby, maximum homogeneity in procedures, sample preparation, timing, and handling was achieved.
The highest positive value (meaning a saving against extra handling time) is achieved by reducing the energy demand to 11,000 kW.
The temporal handling of information is achieved by structuring the information in different interpretation contexts, linked to each other through an inference mechanism which obtains interpretations that are consistent with the original temporal information.
The off-design operation is achieved handling the following parameters: air mass flow rate, fuel mass flow rate, combustor bypass, gas turbine bypass, avoiding the use of a variable speed control system.
This is achieved by handling the dendrogram_node_onclick event.
This is achieved by handling the row_onmouseover event.
This detection is achieved by handling specific events and the application of multiple strategies.
This is achieved by handling the events that occur during the user interaction with the cluster heatmap, such as clicking on a heatmap row or dendrogram node.
Longer reads certainly help to reduce mapping uncertainty, but with methods that can handle this uncertainty, greater accuracy is achieved with a larger number of short reads.
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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