Sentence examples for large samples of the from inspiring English sources

African technicians have to use large samples of the dangerous viruses for their research because their equipment is antiquated.

To achieve its results, ADGA uses a combination of sources including syndicated national and regional readership surveys, unique user and browser data, FT proprietary research based on large samples of the reader base as well as ABC circulation figures.

The publishers were worried that the Google Library Project would undermine their business models, with users choosing to read large samples of the books online rather than to buy them.

Until now, the use of NMR has been limited because the technique is costly and time intensive, and it requires researchers to gather relatively large samples of the molecule they'd like to study.

We combine the large samples of the restricted version of the Canadian Census (1991-2006) with both a new measure of linguistic proximity of the immigrant's mother tongue to that of the destination country, and with information of the occupational skills embodied in the jobs immigrants hold.

In this work, a description is presented of the use of an accelerator facility to uniformly irradiate with electrons large samples (of the order of m2) in the energy range from 0.7 to 5 MeV, and currents ranging from hundreds of micro amps to tens of milliamps.

The test involves comparing the private vendor's 2000 block group population estimates with a large sample of the 208,668 Census 2000 block groups in the United States.

After coming to Stanford, Ferguson was also instrumental in organizing the Phonology Archive, a computer-based body of materials on the sound structure of a large sample of the world's languages.

The survey was administered to a large sample of the Barendrecht population (N = 811) shortly before it was decided to cancel the project.

These exchange rates are calculated by finding the prices in local currencies of a large sample of the same items in different economies and using these price relationships to convert the GDP numbers to a common currency.

A large sample of the collected tweets (35,000) was manually labeled for the stance of their authors regarding Brexit: Leave (supporting Brexit), Remain (opposing Brexit), or Neutral (uncommitted).