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'data from the source' is an acceptable phrase in written English.
You can use it whenever you need to refer to information that you have obtained from a particular source. For example: "I used data from the source to analyze my research question."
Exact(60)
But, naturally, it's always better to get your data from the source.
The architecture is oriented on the flow of data from the source to the end user.
Likewise, the RN cannot receive data from the source node, if its buffer is full.
It uses labeled data from the source and limited labeled data from the target.
Therefore, we prefer to employ directional antennas to relay data from the source to the destination.
As a result, parallel data from the source and target speakers is not required.
This method also utilizes labeled and unlabeled data from the source and target domains.
The relay takes part in the communication process by relaying data from the source to the destination.
The source selects the best relay before transmitting the data from the source to the destination [15].
This is because more than one path is available for transferring data from the source node to the destination node.
Each pivot function is turned into a linear classifier using data from the source and target domains.
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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