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Combining predictions from multiple sources or models has been shown to be a useful technique in data mining. For example, in network anomaly detection, multiple detectors' output have to be combined to obtain the diagnostic decisions. Unfortunately, as data are generated at an increasingly high speed, existing prediction aggregation methods are facing new(More)
OBJECTIVE To study the effects of temperature and lixivium return on the concentrate bio-oxidation and rate of gold cyanide leaching. METHODS The bioleaching of a high-sulphur (S) and high-arsenic (As) refractory gold concentrate was conducted, and we studied the effects of different temperature (40 ° and 45 °C) and lixivium return (0 and 600 mL) on the(More)
The study aimed to investigate the metal compositions in indoor PM2.5 and the potential health risks they pose to residents of an urban area in China. A total of 41 and 54 households were surveyed in February and September 2013, respectively. The results showed that the indoor concentrations of metals varied depending on the types of cooking fuels used. All(More)
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