Sentence examples for item database from inspiring English sources

In the app, a consumer scans a barcode, then the app displays a list of matching products from the company's 20 million item database.

Following this step, grey literature were searched using the above search criteria in Factiva, a news item database, to provide examples of recent developments in the medical tourist industry in the three study countries.

The general item database contains information such as patient identifier, age, sex, and insurance type; hospital name, type, location, and medical department; and medical cost, number of days hospitalized and/or receiving outpatient, intensive care unit (ICU), and/or emergency room (ER) care.

In English-speaking countries there are consortia which have developed item pools to share assessment content (e.g., IDEAL, an international coalition of faculties [ 4] with an item database which currently contains approximately 32.000 items (personal communication with Prof. R. Hays, May 2012) or UMAP, a coalition of medical schools in Great Britain [ 5]).

In the literature, a 100% cumulative recognition rate with 139-ms search time on an original 5 million-item database has been presented [14].

"Everything in Emergence of Advertising in America" covers both descriptive terms about the advertising items (database terms) for all advertising items in EAA and transcribed text for the Advertising Cookbooks and Early Advertising Publications categories.

Links in the left sidebar let you narrow your search to just articles, or to focus on items from particular databases.

Because then you could be telling anyone who has the right kind of scanning device - from burglars to the government - what you have bought, where from, how much it cost, and anything else that might be added to an item's database entry, such as who bought it.

Firstly, we discretize each TCGx dataset to an item sequence database.

An initial solution to the above problem is to simply adapt the solutions from [16], which was initially developed to find particular items from a database of items: assuming that each region is an item requiring a binary answer YES or NO (TRUE or FALSE), we have the algorithm below which is to find particular regions from a collection of regions.

When the number of items in database increases and the data of the application grow to millions of items, the libraries we used worked more slowly for both reading and writing operations.