Thermal neutron image intensifier tube provides brightly visible radiographic pattern

Vacuum-type neutron image intensifier tube improves image detection in thermal neutron radiographic inspection. This system converts images to an electron image, and with electron acceleration and demagnification between the input target and output screen, produces a bright image viewed through a closed circuit television system

Simulation of Polycrystals Using an FEM-based Representative Volume Element

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Evaluation of an eBook for Oral Health Literacy© to Promote Child Health: Readability, Suitability, Understandability, Actionability, and Gist-Based Message

The purpose of the study was to evaluate an oral health curriculum called an eBook for Oral Health Literacy© to determine its effectiveness for promoting child health. A secondary purpose was to describe and explain the design characteristics of readability, suitability, understandability, and actionability of the 17 chapters of the eBook. A third purpose was to conduct evaluations on verbatim representations (or literal facts) that are presented in the eBook chapters, including the gist representations that are not explicitly presented but inferred by the reader from the chapter information. Results found that the eBook for Oral Health Literacy© had acceptable, and in many cases, favorable scores, for the five design elements of readability, suitability, understandability, actionability, and gist comprehension. Ongoing dissemination of the eBook for Oral Health Literacy© curriculum has the potential to boost children who are “learning to read” and “reading to learn” about oral health hygiene and nutrition. Future studies should use one or more chapters from the curriculum as an intervention to test this educational premise as an explanatory basis for functional health literacy

LINVIEW: Incremental View Maintenance for Complex Analytical Queries

Many analytics tasks and machine learning problems can be naturally expressed by iterative linear algebra programs. In this paper, we study the incremental view maintenance problem for such complex analytical queries. We develop a framework, called LINVIEW, for capturing deltas of linear algebra programs and understanding their computational cost. Linear algebra operations tend to cause an avalanche effect where even very local changes to the input matrices spread out and infect all of the intermediate results and the final view, causing incremental view maintenance to lose its performance benefit over re-evaluation. We develop techniques based on matrix factorizations to contain such epidemics of change. As a consequence, our techniques make incremental view maintenance of linear algebra practical and usually substantially cheaper than re-evaluation. We show, both analytically and experimentally, the usefulness of these techniques when applied to standard analytics tasks. Our evaluation demonstrates the efficiency of LINVIEW in generating parallel incremental programs that outperform re-evaluation techniques by more than an order of magnitude.Comment: 14 pages, SIGMO

Stability limits of n-nonane calculated from molecular dynamics interface simulations

Based on molecular dynamics simulation of the vapor-liquid interface the classical thermodynamic spinodal for n-nonane is estimated using an earlier developed method. The choice of n-nonane as investigated molecule originates from the question whether a deviation from the spherical symmetry of a molecule affects the prediction of the stability limit data. As a result we find that the estimated stability limit data for n-nonane are consistent within the experimental data available for the homologous series of the n-alkanes. It turns out that the slight alignment of the molecules parallel to the interface reported in the literature does not affect the method of transferring interface properties to the bulk phase stability limit

Simulation der einfachen Scherung einer polykristallinen Aluminiumprobe

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INCMap: A Journey towards ontology-based data integration

Ontology-based data integration (OBDI) allows users to federate over heterogeneous data sources using a semantic rich conceptual data model. An important challenge in ODBI is the curation of mappings between the data sources and the global ontology. In the last years, we have built IncMap, a system to semi-automatically create mappings between relational data sources and a global ontology. IncMap has since been put into practice, both for academic and in industrial applications. Based on the experience of the last years, we have extended the original version of IncMap in several dimensions to enhance the mapping quality: (1) IncMap can detect and leverage semantic-rich patterns in the relational data sources such as inheritance for the mapping creation. (2) IncMap is able to leverage reasoning rules in the ontology to overcome structural differences from the relational data sources. (3) IncMap now includes a fully automatic mode that is often necessary to bootstrap mappings for a new data source. Our experimental evaluation shows that the new version of IncMap outperforms its previous version as well as other state-of-the-art systems