The phrase "article filter" is correct and usable in written English.
It can be used in contexts related to sorting or managing articles, such as in content management systems or data processing.
Example: "To improve the user experience, we implemented an article filter that allows readers to find relevant content more easily."
Alternatives: "content filter" or "news filter".
In this article filter is accomplished by the combination of three layers of silicon and air material which represents as 1D photonic crystal structure.
This tool, consisting on an article filter followed by a sentence filter, has been trained on the BioCreAtIvE II workshop dataset, enriched by other selected known-interactions.
Using a 10-fold cross validation and 0.5 probability cutoff, the method showed a precision of 87.4% for the article filter, and 92.1% for the sentence filter.
For this review, the senior author (JLC) searched PubMed (from 1967 to 2013) using the search terms 'cartilage' AND 'animal' with a Review Article filter.
In the article "Filtering in the joint time/chirp-rate domain for separation of quadratic and cubic phase chirp signals"[6], Mehmet Özgen proposes a linear time/chirp-rate (TCR) filter for decomposing multicomponent signals into their quadratic and/ or cubic phase chirp components.
PPI extraction tasks require several prerequisite steps such as gene mention, gene normalization, PPI article filtering or PPI experimental method extraction.
Although article filtering is an essential step among those tasks, it has been often neglected by previous protein-interaction extraction systems.
By selecting a simple filter option, one can query only those articles filtered for renal information.
Data extraction followed a three-step process with articles filtered by title, abstract, and full text.
Consequently, we have included a liver cancer-related article-filtering mechanism, which is described in the last paragraph of the 'Main Components of LiverCancerMarkerRIF' section.
As a class, read and discuss the article "Internet Filters and Free Speech," focusing on the following questions: a.
