2 resultados para Statistical Convergence

em Worcester Research and Publications - Worcester Research and Publications - UK


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LivingTV's flagship series, Most Haunted, has been haunting the satellite network since 2002. The set-up of the series is straightforward: a team of investigators, including a historian, a parapsychologist, and "spiritualist medium" Derek Acorah, "legend-trip," spending the night at some location within the United Kingdom that is reputed to be haunted, with the hopes of catching on video concrete proof of the existence of ghosts. However, unlike other reality television or true-life supernatural television shows, Most Haunted includes and addresses the audience less as a spectator and more as an active participant in the ghost hunt. Watching Most Haunted, we are directed not so much to accept or reject the evidence provided, as to engage in the debate over the evidence's veracity. Like legend-telling in its oral form, belief in or rejection of the truth-claims of the story are less central than the possibility of the narrative's truth - a position that invites debates about those truth-claims. This paper argues that Most Haunted, in its premise and structure, not only depicts or represents legend texts (here ghost stories), but engages the audience in the debates about the status of its truth-claims, thereby bringing this mass-mediated popular culture text closer to the folkloristic, legend-telling dynamic than other similar shows.

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High concentration levels of Ganoderma spp. spores were observed in Worcester, UK, during 2006–2010.These basidiospores are known to cause sensitization due to the allergen content and their small dimensions. This enables them to penetrate the lower part of the respiratory tract in humans. Establishment of a link between occurring symptoms of sensitization to Ganoderma spp. and other basidiospores is challenging due to lack of information regarding spore concentration in the air. Hence, aerobiological monitoring should be conducted, and if possible extended with the construction of forecast models. Daily mean concentration of allergenic Ganoderma spp. spores in the atmosphere of Worcester was measured using 7-day volumetric spore sampler through five consecutive years. The relationships between the presence of spores in the air and the weather parameters were examined. Forecast models were constructed for Ganoderma spp. spores using advanced statistical techniques, i.e. multivariate regression trees and artificial neural networks. Dew point temperature along with maximumtemperature was the most important factor influencing the presence of spores in the air of Worcester. Based on these two major factors and several others of lesser importance, thresholds for certain levels of fungal spore concentration, i.e. low (0–49 s m−3), moderate(50–99 s m−3), high (100–149 s m−3) and very high (150