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Discover LudwigThe phrase "persist data" is grammatically correct and commonly used in written English.
It typically refers to the act of saving or storing data so that it can be accessed and retrieved later on. Example: The application has a feature to persist data, ensuring that all important information is securely saved and easily accessible for future use.
Exact(8)
Only databases allowing to persist data and distribute them along different computing nodes are within the scope of this review.
However, it might be possible that when forced into the attractor state, the network will persist (data not shown).
However, no clear data were found on how long pressure ulcers in general persist; data in the literature varied from less than 2 weeks to 3 years.
While the E6-null HPV genome failed to persist (data not shown), the E7-null HPV16 genome readily persisted in these cells.
This feature enables secure access control to systems generated by the caCORE SDK, and adds a standardized write-API that permits applications using the system to insert and persist data objects in addition to reading them.
Although the mutant offspring die in the perinatal period precluding examination of the adult valves, we have observed valve anomalies in newborn pups, suggesting the anomalies persist (data not shown).
Similar(52)
Persisting data was a challenge not because of the complexity of the code involved - it was fairly simple to implement - but rather because of the challenge of deciding which data to persist.
Consumer sentiment worsened this month on renewed concerns about the outlook for the economy as gloom about job and income prospects persisted, data released Friday showed.
The persisted data needs to be versioned to account for changes in the database and in the involved services.
Differentiate gold, silver, and bronze datasets: By persisting data as it moves from raw to ready in its lifecycle and using crowd-sourced feedback from data consumers, companies can begin to identify and categorize the value of their datasets.
In this case, to analyze the runtime behavior of the system when it is persisting data, we can define an alert to be triggered whenever an expected DAO service is called (which in some frameworks is implemented using reflection).
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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