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To enable SIP server discovery with SLP, a template needs to be defined which basically defines the schema for SIP servers.
In order to achieve this objective, the hollow template needs to be applied.
Each VM instance started from a template needs to be customized with some unique settings, e.g., networking configuration to ensure each instance is assigned a unique IP-address.
The specificity of the template needs to be balanced against the amount of data required in its construction and its ease of use in practice.
In most cases the semantics of a given data source are not (yet) described in machine readable form and the initial mapping template needs to be generated manually.
If a novel study type comes in (currently a non RNAi-based study), a new SDF template needs to be defined, which can then be completed directly by the data submitter.
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This is not to say that the India experience provides the perfect template needed to address the situation in Pakistan.
A current critic of imprinted polymers is the significant amount of template needed to prepare the polymer.
To count as performed, the template needed to either have the relevant item checked/circled/slashed (if it was a pre-printed item) or have the item and results of the assessment handwritten on to the template.
Remember that not all articles with the template need to be deleted.
Until recently, template-based methods had been impractical for large tasks of speech recognition, since feature vectors of training templates need to be stored in computer memory.
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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