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Ranking queries are widely used in data exploration, data analysis and decision making scenarios. While most of the currently proposed ranking techniques focus on deterministic data, several emerging applications involve data that are imprecise or uncertain. Ranking uncertain data raises new challenges in query semantics and processing, making conventional methods inapplicable. Furthermore, the interplay between ranking and uncertainty models introduces new dimensions for ordering query results that do not exist in the traditional settings. This lecture describes new formulations and...

For technological development, and to meet new demands of tomorrow's society, there is a constant need for new materials with new or improved properties. Recently, the perovskite-like rare-earth manganese compounds have been an intensive topic in scientific studies and potential technological application because of their charge and orbital ordering, magnetic phase transitions, colossal magnetoresistance CMR effect as well as magnetocaloric effect MCE. Potential applications of the CMR effect in mixed-valence manganites include magnetic sensors; magnetoresistive read heads; and...