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The dataset structure.
A schematic of MWCNT-PDMS sheet was depicted showing 8 probe terminals along with a sectoral dataset structure is also presented inside a red circle.
(b) The test dataset also has the same dataset structure but not the same shape and dimension exhibiting a green slab and a red thinner slab, each of which represents 3,000 =1,5000 × 2) 8-dimensional vectors (blue bars) and the corresponding pressure values, respectively.
The training and test dataset structure for m = 6 is schematically described in Fig. 2. The label (output) data for position recognition was simply a sector coordinate that designated the column and row numbers of the 6 × 6 matrix, and the label data for displacement (pressure) was a real number.
Fig. 8 The dataset structure of the SciData Data Model.
Later, an unsupervised learning step is performed with the objective of extracting useful information from the intrinsic dataset structure.
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Using this dataset, structure-based multiple sequence alignment was generated for each enzyme class separately.
When the numbers of datasets and variables to be harmonised are small, dataset structures can be handled manually.
The success rate was defined as the number of correctly predicted proteins divided by the total number of dataset structures.
> -wrap-foot> For the training dataset, structures aligned to the membrane normal were obtained from the OPM database (Lomize et al., 2006).
This article presents an automated approach to harmonise dataset structures, which optimises the search of variables, minimises manual inputs and reduces the risk of error.
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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