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Full-Text Articles in Physical Sciences and Mathematics

Hearts And Minds: Examining The Evolution Of The Egyptian Excerebration And Evisceration Traditions Through The Impact Mummy Database, Andrew D. Wade Apr 2012

Hearts And Minds: Examining The Evolution Of The Egyptian Excerebration And Evisceration Traditions Through The Impact Mummy Database, Andrew D. Wade

Electronic Thesis and Dissertation Repository

Egyptian mummification and funerary rituals were a transformative process, making the deceased a pure being; free of disease, injury, and disfigurements, as well as ethical and moral impurities. Consequently, the features of mummification available to specific categories of individuals hold social and ideological significance. This study refutes long-held classical stereotypes, particularly dogmatic class associations; demonstrates the apocryphal nature of universal heart retention; and expands on the purposes of excerebration and evisceration implied by synthetic and radiological analyses.

Features of the embalming traditions, specifically the variable excerebration and evisceration traditions, represented the Egyptian view of death. Fine-grain analyses, through primary imaging …


Ontology–Based Representation Of Simulation Models, Katarina Grolinger, Miriam A.M. Capretz, José R. Marti, Krishan D. Srivastava Jan 2012

Ontology–Based Representation Of Simulation Models, Katarina Grolinger, Miriam A.M. Capretz, José R. Marti, Krishan D. Srivastava

Electrical and Computer Engineering Publications

Ontologies have been used in a variety of domains for multiple purposes such as establishing common terminology, organizing domain knowledge and describing domain in a machine-readable form. Moreover, ontologies are the foundation of the Semantic Web and often semantic integration is achieved using ontology. Even though simulation demonstrates a number of similar characteristics to Semantic Web or semantic integration, including heterogeneity in the simulation domain, representation and semantics, the application of ontology in the simulation domain is still in its infancy. This paper proposes an ontology-based representation of simulation models. The goal of this research is to facilitate comparison among …


An Iterative Association Rule Mining Framework To K-Anonymize A Dataset, Michael Hayes, Miriam A M Capretz, Jefferey Reed, Cheryl Forchuk Jan 2012

An Iterative Association Rule Mining Framework To K-Anonymize A Dataset, Michael Hayes, Miriam A M Capretz, Jefferey Reed, Cheryl Forchuk

Electrical and Computer Engineering Publications

Preserving and maintaining client privacy and anonymity is of utmost importance in any domain and specially so in healthcare, as loss of either of these can result in legal and ethical implications. Further, it is sometimes important to extract meaningful and useful information from existing data for research or management purposes. In this case it is necessary for the organization who manages the dataset to be certain that no attributes can identify individuals or group of individuals. This paper proposes an extendable and generalized framework to anonymize a dataset using an iterative association rule mining approach. The proposed framework also …


Autonomic Database Management: State Of The Art And Future Trends, Katarina Grolinger, Miriam Am Capretz Jan 2012

Autonomic Database Management: State Of The Art And Future Trends, Katarina Grolinger, Miriam Am Capretz

Electrical and Computer Engineering Publications

In recent years, Database Management Systems (DBMS) have increased significantly in size and complexity, increasing the extent to which database administration is a time-consuming and expensive task. Database Administrator (DBA) expenses have become a significant part of the total cost of ownership. This results in the need to develop Autonomous Database Management systems (ADBMS) that would manage themselves without human intervention. Accordingly, this paper evaluates the current state of autonomous database systems and identifies gaps and challenges in the achievement of fully autonomic databases. In addition to highlighting technical challenges and gaps, we identify one human factor, gaining the trust …