Sentence examples for sparse in number from inspiring English sources

Those on board expected creatures to be sparse in number and entering hibernation.

"Despite an eminent handful," Mr. Ward wrote, "Negro dramatists remain sparse in number, productions sporadic at most, and scripts too few to indicate discernible trends".

The SSCs, which are sparse in number (one in 3,000 adult testis cells), offer a stark measure of the sexes' different reproductive potentials.

More specifically, these studies, sparse in number, encompass a diverse scope of methods, analyses, and applications with measurement techniques that cannot compare the impacts on the human visual system across such variety without confounds from the variety itself (i.e., information content, see more on this in the ideal observer approach to fusion evaluation section below).

In a state where Affirmative Action was outlawed in 1996 by Proposition 209, race conscious admissions is simply illegal and underrepresented minorities at most select University of California campuses are sparse in number.

In contrast, along the jp edge, very slowly growing at this stage, the cells are sparse in number, and flattened – a situation that changes markedly along the same edge during jp veil formation later.

Similar to real LC MS/MS runs, a range of challenge MS/MS spectra were sparse in the number of product ion peaks, causing in silico tools to fail for lack of data (Additional file 1: Table S4).

This problem can have several solutions yielding the same objective value, and which are typically sparse in the number of transcripts (see Supplementary Fig. S2).

Dinku discusses an ongoing program to bring medium-term climate information to a dozen African countries, where weather stations are often unevenly distributed, sparse or even declining in number.

Using CS theory, we show that all markers with nonzero coefficients can be identified (selected) using an efficient algorithm, provided that they are sufficiently few in number (sparse) relative to sample size.

Since the available experimental data [22] were relatively sparse in comparison to the number of unknown model parameters, the parameter estimates for this under-determined, ill-conditioned problem were expected to be non-unique.