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Additionally, structured eligibility criteria allow us to propose suggestions for relaxation of criteria to remove potentially unnecessarily restrictive conditions.
The alternative mesh optimality criteria allow us to attain maximum of accuracy with a prescribed number of elements or a prescribed memory size or a prescribed cpu time.
The first two criteria allow us to identify potentially radical inventions ex ante market introduction; adding the third condition, we can ex post determine if an invention served as an important change agent.
These criteria allow us to detect the non-disjunction of the whole bivalents as well as the pre-division of sister chromatids.
Furthermore, these inclusion criteria allow us to study treatment patterns in a more homogenous cohort of patients.
These criteria allow us to detect different structures of the same protein in cases where there are small differences in the N and C termini of the proteins, such as when a particular domain of a multi-domain protein is cloned separately and different groups may choose slightly different domain boundaries or the presence of His-tags or other sequences required for purification.
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Model selection using AIC criteria allowed us to identify the time period over which to consider management practices that best explain plant patterns.
In this study, using the QVTA criteria allowed us to greatly reduce the number of false positive interpretations.
We have ensured the statistical power of our experiment is appropriate for further analysis (See Methods), and the use of relatively stringent criteria allows us to focus on genes with robust expression changes.
Even though we could not control for other confounding factors (e.g. stressful life events), the strict exclusion criteria allowed us to minimize the effects of factors such as irregular sleep-wake schedules, use of HT and other medications, smoking, and use of alcohol or drugs.
These selection criteria allowed us to explore a number of approaches to defining eQTLs.
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