Sentence examples for successive trends from inspiring English sources

Exact(1)

Their names are modern and arbitrary; the divisions between them are not equally sharp and do not apply equally to all parts of the Greek world, but they serve as a general guide to successive trends.

Similar(59)

Therefore, with data from successive surveys, trends can be identified that make it possible to evaluate more accurately the impact of programmes and strategies implemented in order to promote PA and reduce sedentary behaviour among adolescents.

These data allow cross-national comparisons to be made and, with successive surveys, trend data is gathered and may be examined at both the national and cross-national level.

For the majority of his six-decade-long career, though, he worked with glossy magazines, particularly Vogue, and the record he left of successive waves of trends from the 1930s to the 1950s will thrill anyone with an interest in the subject.Horst was born in Germany in 1906 and studied carpentry and design in Hamburg.

What You'll Find Starting in the 1820's, the city began to put up town houses here on farmland; since then, each successive New York architectural trend seems to have left its mark.

Collectively, these changes in richness and abundance did not produce significant trends in successive similarity (year-to-year changes) for any guild except Neotropical migrants, indicating that successive similarity was constant over time (Table 1; Figure 2e,f).

BAC samples exposed to 50 successive adsorption/regeneration cycles showed trends consistent with short-term exposure (5 cycles).

Joinpoint regression is a statistical method that describes changing trends over successive segments of time.

The aim was to describe the mortality trends among successive birth cohorts considering malnutrition in the early decades of their lives.

Since algorithm-based predictions cannot be made using 'snapshot' data (single Home Monitoring data transmissions), but only based on trends in successive data transmissions during 30 days, ∼20% of all events had to be excluded due to an insufficient amount of Home Monitoring data received before the event.

Other options would have been to use Hodrick Prescott (1997) analysis, to separate a cyclic component at the decadal time scale from a trend, and then successive high-pass Butterworth filtering of the trend with 22 and 78 years cutoffs.

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