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This figure is obtained by stacking a 1D array of images into a volume and taking a cross section of the dataset.
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This will show a smaller section of the whole dataset in larger scale.
We modeled a specific cross section of the CT dataset rather than creating an average shape, because we expected that a specific geometry would enable our models to differentiate better between the various cases.
The Calculation of Evidence of Linkage field allows for positive and negative values in pivot charts (described in the following section, Graphical analysis of the dataset).
As introduced in Section 3, the dataset of traces is collected from more than 4,000 taxis running in the urban area of Shanghai, China.
The Methods section begins with a description of the dataset preparation in Section 1 titled "Selection and Preparation of Datasets…".
In this section, we provide details of the dataset and evaluation results for our proposed method, as applied to FER.
This likelihood function is shared across all PTM groups and is inferred from our empirical observation of the yeast PTM dataset as follows (see Section 3 for description of the dataset).
Validation studies are often difficult to identify through conventional literature searches; in many papers the results of validation exercises may be reported only briefly in the methods or results section, and the name of the dataset used is often not included in the title or keywords.
This section first introduces the dataset of real vehicular traces, then defines the performance metrics, and finally presents the simulation setup.
In this section, an explanation of the datasets used for testing and relevant pre-processing steps are given.
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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