Sentence examples for frequent growth from inspiring English sources

The frequent growth of visual data, either by countless monitoring video cameras wherever we go or the popularization of mobile devices that allow each person to create and edit their own images and videos have contributed enormously to the so-called "big-data revolution".

The most frequent growth form was the herbaceous form (48% of all taxa) followed by tree and succulent (each one 13%), shrub (12%), vine (9%) and subshrub (6%) (Table 1).

CR was also recently shown to extend the CLS of fission yeast (S. pombe) in association with more frequent growth arrest in G0/G1 [ 16].

Culturing cells in rich medium (YPD) rather than defined medium (SC), which also promotes more frequent growth arrest of stationary phase cells in G0/G1 [ 13], also reduced levels of O2 - compared to cells cultured in SC.

This points to an alternative, but not mutually exclusive possibility - that the age-promoting effects of O2 - are related in part to inhibition by O2 - of growth arrest of stationary phase cells in G0/G1, leading to more frequent growth arrest in S phase instead, where cells suffer replication stress.

Patients with M. abscessus growth in sputum were younger than patients with the growth of other NTM (18.46 ± 6.42 vs. 26.79 ± 11.63 years, p<0.05), tended to have positive smears (53.8% vs. 13.8%, p<0.001), and had frequent growth of S. maltophilia in sputum (15.4% vs. 0, p<0,0,).

This algorithm is a parallel implementation of FP-Growth (Frequent Pattern-Growth) algorithm based on MapReduce paradigm.

Apriori [29], frequent pattern growth (FP-growth) [30] and Eclat [31] are the three most widely used basic algorithms of frequent itemset mining, which have been used for the first and major time consuming step.

Frequent Pattern Growth (FP-growth) approach, which is one of the algorithms of Association Rule Mining (ARM), is applied to an actual prescriptions database of a central fill pharmacy to study the associations within the prescribed drug regime.

There are many possibilities for future research directions and improvements, including the implementation of content mining using other rule mining algorithms (such as the Frequent Pattern Growth (FP-Growth) strategy), as well as using Spark or Apache Tez platform to achieve better performance.

Based on frequent "penetration" growth phenomena among secondary arms, a possible lateral propagation mechanism of the twinned dendrites has been hypothesized.