6 resultados para information theoretic measures

em University of Queensland eSpace - Australia


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1. Growing concern associated with threats to the marine environment has resulted in an increased demand for marine reserves that conserve representative and adequate examples of biodiversity. Often, the decisions about where to locate reserves must be made in the absence of detailed information on the patterns of distribution of the biota. Alternative approaches are required that include defining habitats using surrogates for biodiversity. Surrogate measures of biodiversity enable decisions about where to locate marine reserves to be made more reliably in the absence of detailed data on the distribution of species. 2. Intertidal habitat types derived using physical properties of the shoreline were used as a surrogate for intertidal biodiversity to assist with the identification of sites for inclusion in a candidate system of intertidal marine reserves for 17 463 km of the mainland coast of Queensland, Australia. This represents the first systematic approach, on essentially one-dimensional data, using fine-scale (tens to hundreds of metres) intertidal habitats to identify a system of marine reserves for such a large length of coast. A range of solutions would provide for the protection of a representative example of intertidal habitats in Queensland. 3. The design and planning of marine and terrestrial protected areas systems should not be undertaken independently of each other because it is likely to lead to inadequate representation of intertidal habitats in either system. The development of reserve systems specially designed to protect intertidal habitats should be integrated into the design of terrestrial and marine protected area systems. Copyright (c) 2005 John Wiley & Sons, Ltd.

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With growing success in experimental implementations it is critical to identify a gold standard for quantum information processing, a single measure of distance that can be used to compare and contrast different experiments. We enumerate a set of criteria that such a distance measure must satisfy to be both experimentally and theoretically meaningful. We then assess a wide range of possible measures against these criteria, before making a recommendation as to the best measures to use in characterizing quantum information processing.

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Objective: Alcohol contributes to about 30% of drowning fatalities associated with recreational aquatic activity and to 35% of drownings associated with boating. We consider regulatory and legislative strategies for preventing such deaths. Methods: We contacted water police in each Australian State and Territory to identify legislation creating alcohol-related offences for operators of recreational boats in their jurisdiction and to determine whether they conducted random breath testing (RBT). We also sought information from all 152 (81 urban and 71 rural) local government councils in NSW regarding restrictions on consumption of alcohol in public places within their shires. Results: Four Australian States (New South Wales, Queensland, Victoria and South Australia) have legislation prescribing maximum blood alcohol concentrations (BACs) for operators of recreational boats; all support this with RBT Western Australia, Tasmania and the Australian Capital Territory define more general offences for operating vessels while under the influence, of alcohol. Prohibitions or restrictions on consumption of alcohol in public places exist in 78 of the 86 shires in NSW that responded: 69 councils had alcohol-free zones, 53 restricted consumption of alcohol in public parks and reserves, and 33 had prohibitions or restrictions in some aquatic environments. Conclusions/implications: Legislation restricting BACs for recreational boat operators should be adopted in all Australian States and Territories. Optimal legislation would require that all occupants of recreational boats are required to comply with prescribed BAC levels, including when vessels are at anchor. Extension of by-laws prohibiting or restricting the consumption of alcohol specifically in aquatic environments warrants consideration.

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Domain specific information retrieval has become in demand. Not only domain experts, but also average non-expert users are interested in searching domain specific (e.g., medical and health) information from online resources. However, a typical problem to average users is that the search results are always a mixture of documents with different levels of readability. Non-expert users may want to see documents with higher readability on the top of the list. Consequently the search results need to be re-ranked in a descending order of readability. It is often not practical for domain experts to manually label the readability of documents for large databases. Computational models of readability needs to be investigated. However, traditional readability formulas are designed for general purpose text and insufficient to deal with technical materials for domain specific information retrieval. More advanced algorithms such as textual coherence model are computationally expensive for re-ranking a large number of retrieved documents. In this paper, we propose an effective and computationally tractable concept-based model of text readability. In addition to textual genres of a document, our model also takes into account domain specific knowledge, i.e., how the domain-specific concepts contained in the document affect the document’s readability. Three major readability formulas are proposed and applied to health and medical information retrieval. Experimental results show that our proposed readability formulas lead to remarkable improvements in terms of correlation with users’ readability ratings over four traditional readability measures.