Sentence examples for data and the paucity of from inspiring English sources

Based on quantifying shape changes in signal profiles, it overcomes challenges imposed by the highly structured nature of the data and the paucity of replicates.

Characterization and application of hormesis sufficient for scientific acceptance are hobbled by flaws in existing data and the paucity of statistically and empirically well-designed studies for hormesis hypothesis testing.

In addition, because of the collinearity of the fungal data and the paucity of events, it is difficult to assess the risk of each taxon controlling for the others.

When trying to win over a health service which is heavily dependent on data and evidence, the paucity of convincing numbers has left the Better Care Fund plans looking unconvincing.

Because of the absence of information on fungal fragment levels in outdoor spore data for Cincinnati and the paucity of large spore types in the data, we established 2.5 μm as a reasonable central estimate of the aerodynamic diameter for fungi in this analysis.

Given the conflicting data on folate and the paucity of studies on the other related nutrients, we examined the associations between dietary intake of folate, thiamin, riboflavin, and niacin and risk of cancers of the breast, endometrium, ovary, colorectum, and lung in the National Breast Screening Study (NBSS), a large cohort of Canadian women.

Together, the review and new data help contextualize the paucity of work done in the region in the face of a rapid increase in development and reservoir building throughout SE Asia.

No conclusions can be framed from the COI-5P data owing to the paucity of samples and this species is excluded from the LSR summary.

Stroke is becoming an increasingly serious public health issue in Ethiopia and the paucity of data specific to the Ethiopian setting is limiting the formulation of an appropriate response.

Although these models find strong support from observations at the leaf level [13], [14], [16], there remain large uncertainties, including the accuracy of the models themselves and the paucity of data needed to drive and test the models at larger scales (e.g., the isotope ratios of atmospheric vapor).

The multiplicity of factors and the paucity of data in ICUs explain that the presented model/framework is not fully validated.