Query Object Specification

The user either enters, or copies, a query object at search time, using the graphical user interface. 

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Object behaviors have no clear counterpart in this world of relational databases, which are concerned primarily with storing the attributes and links between objects. The database can be driven with something such as SQL, but the queries and commands are not encapsulated with specific relations. 

The CompoundMapper defines specific data access logic for the Compound object. Its findStatementPrimaryO method defines how to query the compound table using its primary key. The findByCorpIdPrimary() defines how to query the compound table using its corporate id and so on. 

In other words, the samples have to reflect, without distortion, the piece of information required from the population. Otherwise, the conclusions from the analytical data - the output of the analytical laboratory - about the state of the investigated object are definitely arbitrary and may cause momentous errors in the interpretation of results. Samples of a population must, therefore, be representative according to the specific query. This means that they must be both accurate and reproducible. This implies that the sampling process is affected by errors in each case. The question of representativeness is a question which has to be answered for each individual case in relation to the heterogeneity of the population to be sampled, the accuracy required, and the reproducibility of results. The extent of representativeness is, therefore, highly dependent on the expenditure on sampling and analysis and the time needed for the investigation. 

Substructure and 3D pharmacophore searching involve the specification of a precise query, which is then used to search a database in order to identify molecules for screening. In such an approach, either a molecule matches the query or it does not Similarity searching offers a complementary approach, in that the query is typically an entire molecule. This query molecule is compared to all molecules in the database and a similarity coefficient calculated. The top-scoring database molecules (based on the similarity coefficient) are the hits from the search. In a typical scenario the query molecule would be known to possess some desirable activity and the objective would be to identify molecules which will hopefully show the same activity. We therefore require some method for deciding how to compute the similarity between two molecules. In order to achieve this we need to choose a set of molecular descriptors for the compounds. These descriptors are then used to compute the similarity coefficient. 

Specific design and instaUalion guidelines for each system (or ATA chapter) should be derived from experience, in-service data, the relevant PSSA and aircraft level requirements and objectives. As far as possible, their origin shonld be traceable (in the event of any queries on possible noncompliance) and they shonld be agreed by all parties... 

The basis of ALADDIN is the Daylight Chemical Information Systems software, particularly GENIE, a substructure specification language. When GENIE finds a query substructure in an input SMILES structure, it can return to the user those atoms in the structure that correspond to those hit. Since in a MENTHOR database the coordinates of the atoms are stored in the order in which they occur in the SMILES for that molecule, the coordinates of the atoms of interest are thereby identified. Thus, our geometric objects are established from this set of atoms, and geometric tests are performed on them. Steric tests are performed on molecules that meet the geometric criteria. 

The initial diffusion of MDA was focused on its relation with UML as modeling language. However, there are UML users who do not use MDA, and MDA users who use other modeling languages such as some DSL (Domain Specific Language). The essence of MDA is the meta-metamodel MOF (Meta Object Facility) that allows different kinds of artifacts from multiple vendors to be used together in a same project (MOF, 2006). The MOF 2.0 Query, View, Transformation (QVT) metamodel is the standard for expressing transformations (QVT, 2008). 

One of the oldest types of database and still the most widespread. A relational database organizes the stored data items into tables in which the columns are fields of a specific type and the rows are data entries. The typical query language for relational databases is SQL (systems query language), which is powerful, well defined and, within the domain of the SQL standard, independent of the database vendor. See. Full-text Database Object-oriented Databa.se and Object-Relational Database. 

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