Sentence examples for verification of outcomes from inspiring English sources

Exact(4)

Google earth images are also used for the cross verification of outcomes of the Landsat data.

The broad range of information collected also prevented the researchers from employing more rigorous definitions and verification of outcomes.

The limitations associated with the use of external control groups include but are not limited to differences in management and diagnoses of RA, the inclusion of both prevalent and new users of DMARD agents, differences in the ascertainment and verification of outcomes, length of follow-up, validity of RA diagnosis and severity of disease.

The limitations associated with the use of external control groups include, but are not limited to, differences in physician management and diagnoses of RA, the inclusion of both prevalent and new users of DMARD agents, differences in the ascertainment and verification of outcomes, length of follow-up, validity of RA diagnosis, disease duration, and severity of disease.

Similar(55)

Quality regulation remains an innovative part of regulation and requires periodic evaluation and verification of its outcomes.

The methodologies described previously will intake individual 3-dimensional photographic patient records and output a generated average with quantifiable data allowing visualization and verification of treatment outcomes in the orthodontic profession.

The analysis also permits verification of the outcome of the experiments mimicking pre- and clinical environment between different, unaffiliated teams of researchers.

Whewell's theory of discovery is significant for the philosophical debate about scientific discovery because it clearly separates three elements: the non-analyzable happy thought or "eureka moment"; the process of colligation which includes the clarification and explication of facts and ideas; and the verification of the outcome of the colligation.

The main challenges of this project will be recruitment of study participants, avoidance of non-consecutive inclusions, and verification of the outcome measures.

In addition, the algorithm is not based on stochastic (e.g., Monte Carlo) methods but is fully deterministic, which eases the verification of the outcome significantly.

The verification of the investigated outcomes is finally analyzed by considering two potential benchmarks, published in recent years.

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