905 resultados para Environmental technology


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Rev. ed. of the Office of Environmental Assessments' Technology characterizations (1981). Includes 13 additional ECIRs (Environmental Characterization Information Reports).

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This study was designed to obtain information on the prevalence of electronic technology—in terms of availability and use—in classrooms in Newfoundland and Labrador. An online survey was developed and delivered electronically to a randomly chosen sample of 800 k-12 educators in Newfoundland & Labrador’s English School District during Winter, 2016. In total, 377 surveys were completed. Among other things, the findings showed that SMART Boards and iPads were receiving significant usage while the usage of computer labs and of various social media tools was not particularly high.

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The morphological and chemical changes occurring during the thermal decomposition of weddelite, CaC2O4·2H2O, have been followed in real time in a heating stage attached to an Environmental Scanning Electron Microscope operating at a pressure of 2 Torr, with a heating rate of 10 °C/min and an equilibration time of approximately 10 min. The dehydration step around 120 °C and the loss of CO around 425 °C do not involve changes in morphology, but changes in the composition were observed. The final reaction of CaCO3 to CaO while evolving CO2 around 600 °C involved the formation of chains of very small oxide particles pseudomorphic to the original oxalate crystals. The change in chemical composition could only be observed after cooling the sample to 350 °C because of the effects of thermal radiation.

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We used geographic information systems and a spatial analysis approach to explore the pattern of Ross River virus (RRV) incidence in Brisbane, Australia. Climate, vegetation and socioeconomic data in 2001 were obtained from the Australian Bureau of Meteorology, the Brisbane City Council and the Australian Bureau of Statistics, respectively. Information on the RRV cases was obtained from the Queensland Department of Health. Spatial and multiple negative binomial regression models were used to identify the socioeconomic and environmental determinants of RRV transmission. The results show that RRV activity was primarily concentrated in the northeastern, northwestern, and southeastern regions in Brisbane. Multiple negative binomial regression models showed that the spatial pattern of RRV disease in Brisbane seemed to be determined by a combination of local ecologic, socioeconomic, and environmental factors.