Sentence examples for terms which identified from inspiring English sources

Exact(1)

In summary, we combined two sets of search terms which identified articles relating to (1) depression, anxiety (because of its comorbidity with depression), or medication for these conditions AND (2) measures of cognition or diagnosis of any type of dementia.

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We present a long-term study which identified distinct behavioral and performance patterns in participants taking a gamified college course.

In the long term, the Pasteur Institute, which identified the first occurrence of Ebola in this outbreak, plans to open a centre of expertise for the region based in Conakry.

Proteins that co-precipitated with OPTN were subjected to Gene Ontology (GO) analysis, which identified GO-terms associated with intracellular vesicles and the Golgi-network (supplementary material Table S2).

The resulting 30 probes were analyzed using the Bioconductor package GOstats [ 17], which identified the GO term "immune system process" (GO 0002376) associated to 14 of the genes as being significantly (p-value 4.6E-12 4.6E-12enrichede  3).

Here, William Greenleaf and colleagues develop a technique that they term RICC-seq, which identifies spatially proximal DNA DNA contacts.

It's also not happy about Facebook granting itself the power to unilaterally change its terms of service, saying this is contrary to EU consumer legislation which identifies as unfair terms that enable: "the seller or supplier to alter the terms of the contract unilaterally without a valid reason which is specified in the contract".

In her work, Srinivansan also applies the topic profile idea to conduct open discovery, which identifies both B terms and C terms given only topic A. Srinivansan's open discovery algorithm can be simply described as follows: Top-ranking B terms are selected from the profile of topic A. Then, a profile for each selected B term is created from the retrieval result set of that B term.

Dagenais and Robillard [54] developed a tool called RecoDoc that relies on a technique which identifies code-like terms in developer documentation and support channels and links these terms to fine-grained code elements in an API (e.g., class, method, field).

Other solutions may rely on short-term spatio-temporal clustering [5], which identifies the number of sources by clustering the localization estimates.

We generally can derive an algorithm which identifies the dominant terms for any arbitrary where.

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