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The skyline operator returns from a set of multi-dimensional objects a subset of superior objects that are not dominated by others. This operation is considered very important in multi-objective analysis of large datasets. Although a large number of skyline methods have been proposed, the majority of them focuses on minimizing the I/O cost. However, in high(More)
Simvastatin, a cholesterol-lowering agent, has demonstrated neuroprotective effects against brain injury, but the underlying mechanisms remain unclear. This study was undertaken to evaluate the effect of simvastatin on the Toll-like receptor 4 (TLR4) and nuclear factor-kappa B (NF-kappaB) related signaling pathway and secondary brain injury in rats after(More)
Heme (Fe2+ protoporphyrin IX) is an essential molecule that has been implicated the potent antimalarial action of artemisinin and its derivatives, although the source and nature of the heme remain controversial. Artemisinins also exhibit selective cytotoxicity against cancer cells in vitro and in vivo. We demonstrate that intracellular heme is the(More)
—This paper demonstrates a predictive noise parameter estimation methodology for UHV/CVD SiGe HBT's which combines ac measurement, calibrated ac simulation and two of the latest Y-parameter-based noise models: 1) the thermody-namic noise model, and 2) the SPICE noise model. The bias current and frequency dependence of the minimum noise figure, the optimum(More)
Although there has been a considerable body of work on skyline evaluation in multidimensional data with totally ordered attribute domains, there are only a few methods that consider attributes with partially ordered domains. Existing work maps each partially ordered domain to a total order and then adapts algorithms for totally-ordered domains to solve the(More)
—This paper studies the problem of finding objects with durable quality over time in historical time series databases. For example, a sociologist may be interested in the top 10 web search terms during the period of some historical events; the police may seek for vehicles that move close to a suspect 70 percent of the time during a certain time period and(More)
We demonstrate OceanRT, a novel cloud-based infrastructure that performs online analytics in real time, over large-scale temporal data such as call logs from a telecommunication company. Apart from proprietary systems for which few details have been revealed, most existing big-data analytics systems are built on top of an offline, MapReduce-style(More)
Traditional spatial queries return, for a given query object q, all database objects that satisfy a given predicate, such as epsilon range and k-nearest neighbors. This paper defines and studies inverse spatial queries, which, given a subset of database objects Q and a query predicate, return all objects which, if used as query objects with the predicate,(More)
ACKNOWLEDGEMENTS I would like to express my gratitude to all those who gave me the opportunity to complete this thesis. I wish to express my deepest thanks to my advisor, Dr. John D. Cressler. Thank you for educating me, for supporting my PhD work, and most importantly, for showing me the essence of life as a scientific researcher, a husband, and a father.(More)
—This paper presents measurements of the avalanche multiplication factor (M 0 1) in SiGe HBT's using a new technique capable of separating the avalanche multiplication and Early effect contributions to the increase of collector current with collector-base bias, as well as allowing safe measurements at practical current densities. The impact of collector(More)