Sentence examples for while sparse from inspiring English sources

McElligott's on-mic patter, while sparse, is full of humanising tales – struggles with the album's release date, life as a Camden resident – which create a warm, easy rapport with the crowd as his band plough through their wide-ranging set.

While sparse literature exists on solvent treatment alone, the effectiveness of solvents on disrupted cells is well documented and commonly used method for industrial-scale operations.

While sparse, there exist enough data from the limited surface and near-surface measurements to date to define a probability density function that guides expectations of winds for rational design of landing systems.

While sparse weather-related school closings have a substantially smaller impact on student learning than learning loss generally experienced during summer breaks, students will still have to make up for lost time, cutting into scheduled vacations.

However, while sparse, LGBT representation on television isn't nonexistent, with roles such as the transgender character Unique on "Glee," Sean Hayes' gay character on "Sean Saves The World," and Amber Tamblyn's lesbian character on "Two And A Half Men" forging new ground for LGBT representation.

Those sparse areas above the diagonal are likely to indicate parallel groups, while sparse triangular areas along the diagonal are rank-blurring groups.

Locals packed up and sandbagged, watching and waiting, while a sparse crowd of visitors milled through the muddy fairgrounds.

Its evocation of the outback, while as sparse and dry as the land itself, is also deft, juxtaposing the Anglo name of Kintore East with the Indigenous one of Yuendumu – and knowing that both will sound, to most of Midnight Oil's fellow coast-hugging Australians, at once cosily familiar and utterly alien.

We illustrated this with the endangered Atlantic-Gaspésie caribou population while using sparse Very High Frequency (VHF) telemetry data.

While the sparse symmetry of presentism is attractive, there are many deep asymmetries concerning past and future that it fails to reflect.

The low-rank component has been estimated using non-convex optimal singular value shrinkage algorithm, while the sparse component has been estimated using convex l 1 minimization.