Sentence examples for attributed to evaluate the from inspiring English sources

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Embryos were first classified as either Grades A, B or C, and a corresponding score of 3, 2 or 1 point was attributed to evaluate the performance of the combined FF-GCSF and embryo score.

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Additionally, we use Attributes to evaluate the characteristics, and hence, can add virtually any evaluation criteria; for example, for performing sensitivity analysis (closeness to today: close to today, trend, close to science fiction, etc).

This lead us to identify the following quality attributes to evaluate: Availability, Consistency, Durability, Maintainability, Read and Write performance, Recovery Time, Reliability, Robustness, Scalability and Stabilization Time.

We began by identifying several desirable quality attributes to evaluate in NoSQL databases.

ANOVA analysis (for numeric value attributes) and the chi-square test (for nominal value attributes) were performed to evaluate the correlation between these attributes and symbolic analgesic consumptions (i.e., low, medium, and high).

Third, it introduces region attributes to evaluate and revise the classification results based on SVMs.

Neural network (NN -derived chimNN -derivedies predichimneyttribute was used to evaluate the integrity of the delineated structural traproperties

The proposed approach yields cost-effective deployment plan in the least computational time compared to other methods and considers all the attributes and measures to evaluate the providers.

To evaluate the attributed burden of ARDS we evaluated the QOL and functional status at 6 months post hospitalization compared to baseline in a population-based cohort of patients with ARDS, or at high risk of ARDS.

For WSE we used a Genetic Search algorithm to explore different combinations of attributes and an ADTree [ 79] to evaluate the attributes.

Alsmadi and Najadat [24] have developed the prediction algorithm based on studying statistics of the whole dataset and each attributes; they proposed a technique to evaluate the correlation between numerical values and categorical variables of fault prone dataset to automatically predict faulty modules based on software metrics.

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