Sentence examples for sparse increasing from inspiring English sources

Although literature about potential neurocognitive effects is still sparse, increasing evidence suggests that chronic ambient air pollution exposure may have neurotoxic effects in children, with evidence implicating particulate matter (PM), with an aerodynamic diameter ≤ 2.5 µm (PM2.5) (Kannan et al. 2006).

At every notch, areas of sparse vegetation increased and the new foraging habitat was utilized by breeding pairs during the 2010 breeding season.

Although data regarding the carcinogenic risk of adjuvant radiotherapy for a primary breast cancer are sparse, an increased risk is suggested with longer follow-up mainly when exposed at younger age.

It is supposed that the lower crystalline degree and higher oxygen deficiency of short and sparse nanorods increase the surface energy of sample A, which exceeds the effect from surface roughness.

Dysplastic cells demonstrated progressive disorganization including 'piling-up' of cells and loss of nuclear polarity, nuclear and cytologic pleomorphism, hyperchromatic elongated nuclei and inconspicuous nucleoli with sparse cytoplasm (increased nuclear to cytoplasm ratio) and occasional bizarre mitotic figures.

For k = 60, more iterations were needed to achieve a sparse solution when increasing the value of t.

For these experiments, we used the R-MAT random graph generator [ 26] to generate sparse graphs of increasing size.

In order to make the sparse domain better represent the underlying image, we use high-frequency features extracted from the underlying image patches for sparse representation, which increases the effectiveness of sparse modeling.

The experiment results show the scheme with sparse pilot as frequency increasing shows the best performance for DDO-OFDM system.

The dots formation by nucleation is larger and sparse with laser energy increasing, and leads uniformity decreasing.

Preconditioning is based on the incomplete Cholesky "by value" factorization method and implemented based on the technique of sparse matrices, which allows increasing convergence considerably without a significant increase of the computer's resources.