The phrase "a database structure" is correct and usable in written English.
It can be used when discussing the organization or arrangement of data within a database system.
Example: "The efficiency of our application largely depends on a well-designed database structure that allows for quick data retrieval."
Alternatives: "a data architecture" or "a database schema".
A database structure with some examples is also provided as well as guidelines for practical data collection.
The algorithm is linear in the size of a database structure and can be used for deciding entailment, computing abductions and diagnoses.
A database (MALACOLOG) of Western Atlantic marine gastropods, developed by Gary Rosenberg and containing ca. 11,000 names and 4,400 valid species; 2. A database structure by Mikael Thollesson; 3. A database (CLEMAM) of European marine molluscs, compiled by Serge Gofas and Jacques le Renard, based on published regional databases and containing ca. 15,000 names and 3,000 valid species.
The most common approach, which we study in this paper, uses molecules characterised by 2D fingerprints, with the similarity between a reference structure and a database structure calculated using an association coefficient such as the Tanimoto coefficient [1, 8].
For example, a common approach to GF is to use the MAX (or 1-NN) fusion rule, where the similarity for a database structure is taken to be the maximum of the similarities between that structure and each of the reference structures.
This could be built using a database structure with a standard set of information elements for each trial reflecting the key areas outlined above.
An important issue is assigning a unique ID given to a sample [32], an appropriate database structure and management system.
The advanced version of ePrometheus utilizes a new database structure (Oracle 11 g) and a new C#, WPF based graphical user interface (GUI), and employs a capability of performing refueling calculation.
The white paper summarizes progress on creation of a list of available resources and a preliminary database structure, using categories such as mathematical level, format, pedagogy, level of instructor preparation needed, and assessment.
Through comparative experiments, JITLIDB is shown to effectively reduce computation time by virtue of its use of a layered database structure to decrease the computational burden and a forgetting factor to prevent the JITL database from infinitely increasing in size.
ThingWorx, a start-up based in Pennsylvania, is using a graphical database structure in conjunction with tagging, in order to provide the maximum quantity of information about the data (metadata) as the data enters the database.
