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A key concept in studying concurrency control and the maintenance of database correctness is the transaction, defined as a sequence of operations on the data that transform the database from one consistent state into another.
The key to maintaining database correctness is therefore to ensure that only complete transactions are applied to the data and that multiple concurrent transactions are executed (under a concurrency control mechanism) in such a way that a serial order can be defined that would produce the same results.
In general, when the unspecific designation "without diagnosis" ('AA009' in system whole body) was recorded in the database, correctness was considered partial if there was either a specific or an unspecific/unknown diagnosis written in the veterinary notes.
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To fully assess the accuracy of a database, the correctness = A/(A + B) in Figure 1a, equivalent to the positive predictive value of a diseased animal, should be checked.
More specifically, our approach can provide scalability (through relational database) and correctness (through process algebra) of processes using an intuitive integration of (e.g., genomic) process control and classic information systems.
Therefore, the validation of MONA was focused on the correctness ofthe database functionality.
Reactions without a KEGG ID had to be extensively audited as there were no database evidences for the correctness of the reaction mechanisms.
The main difference between our approach and related works is that we were able to join two important aspects: 1) process scalability achieved through relational database implementation, and 2) correctness of processes using process algebra.
Additionally, we evaluate the performance, completeness and correctness of the database models produced by our DBLModeller tool.
Consequently, we searched the Single Nucleotide Polymorphism database (dbSNP) to ensure the correctness of the loci for HNA alleles.
Research technicians provided continuous monitoring of the completeness and correctness of the database, and collected patient outcome at hospital discharge.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com