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An EAV/CR database is based on a relational database using mostly an EAV-based storage mechanism.
The underlying database management systems for most bioinformatics software are based on a relational model.
The authors propose a solution to these obstacles based on a relational database engine using a sparse, column-store architecture.
The purpose of this paper is to introduce EDIRDB (EDI controls design support system using a relational database system), a prototype audit support system based on a relational database designed to act as a decision aid for EDI auditors.
Based on a relational dynamic system approach, our study aimed to investigate the quality of co-regulation and affective intensity during spontaneous play interaction in 20 mother infant ELGA dyads compared to 20 full-term (FT) dyads at 12 months (corrected age for ELGA infants).
In this paper we describe a database schema based on a relational model for computerizing CPGs using a hybrid of structured and procedural knowledge representation schemes.
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In this paper a fuzzy neural network based on a fuzzy relational "IF-THEN" reasoning scheme is designed.
Due to the probabilistic nature of systems' behaviour, stability modelling is based on a probabilistic relational model for knowledge representation of stability multiple viewpoints.
The original MetNetDB pathway database [ 49] was based on a traditional relational database management system (RDBMS).
It is based on a MySQL relational database accessed through Java Servlet and Java Server Pages running in a Tomcat container for the API and front-end applications.
JBioWH is based on a MySQL relational database scheme and includes JAVA API parser functions for retrieving data from 20 public databases (e.g. NCBI, KEGG, etc).
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