894 resultados para real case


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Using live streaming with blended learning helps engage off- and on campus students in real time and enhances the off-campus experience by incorporating synchronous activities in addition to the usual asynchronous interactions. Research into the effective use of blended learning frameworks offers opportunities to create course experiences that are personal, relevant, and engaging. Challenges include integrating appropriate technology and managing it effectively throughout the course. Results from practical experiments will likely guide future learning and teaching endeavors using technology for inclusive, interactive, and collaborative learning for on- and off-campus students.

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Purpose – The process for examining the value of house prices in an urban city has given limited attention, if any, to demographic variables associated with urban geography. Although the disciplines of property/real estate and demography have moved closer, little progress has been made when modelling house prices using population-related data in the field of urban geography to explain the level of house prices.

Design/methodology/approach – This paper proposes an innovative model to examine the influence of population variables on the level of house prices. It used a two-stage approach as follows: principal components analysis (PCA) identified social dimensions from a range of demographic variables, which were then retained for further analysis. This information was sourced from two Australian Bureau of Statistics censuses undertaken involving all Melbourne residents during 1996, 2001, 2006 and 2011; multiple regression analysis examined the relationship between the retained factor scores from the PCA (as independent variables) and established residential house prices (as the dependent variable).

Findings – The findings confirm the demographic profile of each household, which is directly related to their decisions about housing location and house prices. Based on a case study of Melbourne, Victoria, it was demonstrated that households with specific demographic characteristics are closely related to a certain level of house prices at the suburban level.

Originality/value – This is an innovative study which has not been previously undertaken for an extended period of time to facilitate an analysis of change over time.

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The effects of commercial trawling on the malacological communities (except for the Cephalopoda) were examined, based on a study undertaken between 1996 and 2000 on the continental shelf and slope of southern Portugal. More than 50% of species caught by trawling in southern Portugal were discarded, with molluscs representing about 19%. Forty-four species of molluscs (15 bivalves, 28 gastropods and one polyplacophoran) were identified from the discarded specimens. Crustacean trawlers accounted for 34 molluscs species, and fish trawlers for 24. Twenty species were only caught by the crustacean trawl, compared with 10 species by the fish trawl, and 14 species were common to both trawls. The bivalve Venus nux Gmelin was the most numerous species discarded in the fish trawl, accounting for 42.0% of the total number of individuals, followed by the gastropods Ampulla priamus (Meuschen) (7.8%) and Ranella olearium (L.) (7.3%). In the crustacean trawl, the most numerous species discarded were the bivalve Anadara diluvii (Lamarck) (19.4%), the gastropod Calliostoma granulatum (Born) (15.5%), and the bivalve V. nux (15.1%). The third most discarded species from fish trawls in Algarve waters, the gastropod species R. olearium, is a species listed in Annex II of the Bern Convention. The difficulties of managing the real impact of fisheries on the molluscan populations and in defining a conservation strategy are discussed.

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We modelled the distributions of two toads (Bufo bufo and Epidalea calamita) in the Iberian Peninsula using the favourability function, which makes predictions directly comparable for different species and allows fuzzy logic operations to relate different models. The fuzzy intersection between individual models, representing favourability for the presence of both species simultaneously, was compared with another favourability model built on the presences shared by both species. The fuzzy union between individual models, representing favourability for the presence of any of the two species, was compared with another favourabilitymodel based on the presences of either or both of them. The fuzzy intersections between favourability for each species and the complementary of favourability for the other (corresponding to the logical operation “A and not B”) were compared with models of exclusive presence of one species versus the exclusive presence of the other. The results of modelling combined species data were highly similar to those of fuzzy logic operations between individual models, proving fuzzy logic and the favourability function valuable for comparative distribution modelling. We highlight several advantages of fuzzy logic over other forms of combining distribution models, including the possibility to combine multiple species models for management and conservation planning.

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Aim To relate the recent Iberian lynx decline to changes in the distribution of the European rabbit after the haemorrhagic disease outbreak of 1989. As Iberian rabbits evolved in two geographically separated lineages, being the recent lynx range practically restricted to the southwestern lineage, we also test if differential range dynamics exists for these lineages, with the consequent implications for lynx conservation and reintroduction planning.

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Transferring distribution models between different geographical areas may be problematic, as the performance of models outside their original scope is hard to predict. A modelling procedure is needed that gets the gist of the environmental descriptors of a distribution area, without either overfitting to the training data or overestimating the species’ distribution potential.We tested the transferability power of the favourability function, a generalized linear model, on the distribution of the Iberian desman (Galemys pyrenaicus) in the Iberian territories of Portugal and Spain.We also tested the effects of two of the main potential constraints on model transferability: the analysed ranges of the predictor variables, and the completeness of the species distribution data. We modelled 10 km×10km presence/absence data from Portugal and Spain separately, extrapolated each model to the other country, and compared predictions with observations. The Spanish model, despite arguably containing more false absences, showed good predictive ability in Portugal. The Portuguese model, whose predictors ranged between only a subset of the values observed in Spain, overestimated desman distribution when transferred.We discuss possible reasons for this differential model behaviour, and highlight the importance of this kind of models for prediction and conservation applications

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