The role of designers is very important in RELATIONAL DATABASE schema design. RELATIONAL DATABASE design tools help designers to design semantically correct and without anomaly DATABASEs; however, they are not good enough yet. There is a shortcoming in quality evaluation techniques for RELATIONAL DATABASEs; therefore, DATABASE designers may not be able to systematically design better DATABASE schemes. In this paper, first, we define quality indicators for evaluating quality of RELATIONAL DATABASE schemes based on software measurement techniques. Then we introduce a technique for evolutionary design of RELATIONAL DATABASE schemes based on the model with which the quality of DATABASE schemes can be estimated. In this technique we try to minimize the number of states to be considered for finding the suitable answer.

In this work, we introduce MRE2C method for classifying multi RELATIONAL data. Multi-RELATIONAL data are stored on RELATIONAL DATABASEs where they consist of multiple relations that are linked together by entity-relationship links. MRE2C creates multiple different feature subsets of RELATIONAL DATABASE and then applies traditional classifiers as base classifiers. Final by using a proposed two-step combining classifier method, the results of base classifiers are combined. In first step, the proposed method uses local voting to create meta-features and then it learns meta learner to combine predication of base classifiers. Testing has been performed on two DATABASEs and six benchmark tasks. We compare our proposed method with other state-of-the-art multi RELATIONAL classification methods which use different approaches to deal with multi RELATIONAL setting. We showed that the proposed method achieves promising results in experiments.

This paper proposes a storage-independent model for SPARQL-to-SQL translation algorithms based on a RELATIONAL view. In the development of Web ontology research, the translation from SPARQL to SQL continues to be an issue. Previous research has focused on an efficient and complete translation from SPARQL queries to equivalent SQL queries. However, these translation algorithms depend on specific storage structures. When we modify the storage structure, the translation algorithm should also be modified to suit the changed storage structure. This has motivated study of the issue of a model for the independent use of storage structures by algorithms. These can then guarantee independence between translation algorithms and storages by generating RELATIONAL views, and improve the application and usability of the translation algorithm. In addition, this paper presents experiment results showing the accuracy and no data loss rate of query results for different storages.

Aim: The aim of the present study was to investigate the relationship between RELATIONAL beliefs and attributions and marital happiness. Method: The research design was corRELATIONAL, and the statistical population consisted of married couples residing in the City of Tehran whose were married for less than five years. Based on the Krejsee-Morgan’ s 1970 Table, and convenient sampling, an estimated sample of 384 individuals were selected from a variety of sources including universities, cultural centers and parks in Tehran. The Marital Happiness Scale Azrin, Naster & Jones (1973), the RELATIONAL Beliefs Inventory Idelson & Epstein (1982), and the RELATIONAL Attribution Measure Fincham & Bradbury (1992) were used to gather data. The gathered data from 315 participants was analyzed using stepwise regression. Data from 69 individuals was omitted due to incomplete questionnaires. Results: Results showed a negative relationship between RELATIONAL beliefs and attributions, and marital happiness. Among the RELATIONAL beliefs subscales, "disagreement is destructive" claimed a greater portion in predicting marital happiness (β = 0. 42, P= 0. 01), and amid the RELATIONAL attribution subscales, the "locus of causality" was the strongest predictor of marital happiness (β = 0. 41, P= 0. 01). Conclusion: Findings showed that the more logical the couples’ relationship beliefs and the more optimistic their attributions, the more the experience of marital happiness. On the other hand, since happiness plays an important role in the stability of marital life, modification and training of RELATIONAL beliefs and attributes of couples by therapists and counselors is recommended in order to increase their marital happiness.