Sentence examples for identification schema from inspiring English sources

The present research is focused on the enhancement of the persistent identification schema for the support of ambiguity problem especially of topology splitting problem and topology merging problem.

The nature of the literature was classified as: a) original research, b) reviews, c) program descriptions and d) commentary/discussion paper using an adapted research identification schema [ 43].

Regardless, we hold that we are able to identify bioactive agents that are indeed associated with patient survival and that this drug identification schema is a reasonable first in silico screening step.

To provide an economic instrument for the assessment of Young's original 18 schemas during childhood, our aim was to reduce the number of items to the absolute minimum for successful model identification (two items per schema; Raubenheimer, 2004).

The third hypothesis concerning the identification of EMS and schema modes as predictors of treatment outcome was tested based on two regression analyses.

With globally unique identification of entities expressed using schema to be used in parallel to represent data, the RDF data model enables global data sharing.

On the database schema level, the identification key of Street would be {Town_name, Street_name}.

Third, another important contribution of the proposed method is the differential-network schema for the identification of oncogenes.

We provided a workflow using a Boolean logic schema for the identification of differentially expressed genes by integrating diverse biological information.

(PP12) Analysis of the verbal protocols resulted in three major categories reflecting the use of task-specific performance schemas (Table  1): identification of case-specific cues, identification of particular behaviours as (in effective, explicitly in relation to case-specific cues, and effects of trainee behaviour on the particular patient.

The pipeline developed provides rational schema for drug target identification that are likely to have high rates of success, which should save enormous amounts of money, resources and time in the drug discovery process.