Sentence examples for uniformly assigned from inspiring English sources

The phrase "uniformly assigned" is an acceptable and usable phrase in written English.
You can use it to describe when something or someone is assigned a particular task or job in an even and consistent manner, such as when organizational tasks are assigned to individuals. For example, "The tasks were uniformly assigned to each team member."

Exact(10)

Interpro family annotations were uniformly assigned across both genomes and we conducted enrichment tests based on assignment to the Interpro chemotaxis family.

In (4), we set, assuming that radio resource is uniformly assigned among BS and all RSs in each cell.

The (50000,hbox {PEVs}) are uniformly assigned to the 1023 driving profiles, meaning that about (49,hbox {PEVs}) follow each driving profile.

STEM and Non-STEM age-group starting satisfaction and minimum satisfaction thresholds are uniformly assigned to all same job classification agents within the satisfied, committed, or unsatisfied segments; this is an abstraction based on assumptions from the NASA 2005 OPM data set and model calibration for approximating historical attrition rates [6].

The age distributions are uniformly assigned over the specified age groups.

In contrast, weights assuming random effects are more uniformly assigned across studies.

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Similar(50)

It should be noted that schools do not uniformly assign summer activities, and that expectations may differ across grade and course levels.

Since different resources adopt different approaches to compiling protein-DNA interaction information, the combined source data were manually processed to uniformly assign Entrez gene identifiers to each participating gene and remove redundancies prior to the incorporation into TargetMine.

Importantly, all known prognostic gene signatures uniformly assign poor prognosis to all ER-negative tumors.

BLAST uniformly assigns letters aligned to a stop codon an integral score that, given the scale being used, is as close as possible to -2 bits.

One probability function can be better calibrated than another even though the latter uniformly assigns higher probabilities to truths and lower probabilities to falsehoods — see Joyce (1998).

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