4 resultados para Welfare fraud

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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The demand for "welfare friendly" products increases as public conscience and perception on livestock production systems grow. The public and policy-makers demand scientific information for education and to guide decision processes. This paper describes some of the last decade contributions made by scientists on the technical, economical and market areas of farm animal welfare. Articles on animal welfare were compiled on the following themes: 1) consumer behavior, 2) technical and economical viability, 3) public regulation, and 4) private certification policies. Most studies on the economic evaluation of systems that promote animal welfare involved species destined to produce export items, such as eggs, beef and pork. Few studies were found on broilers, dairy cows and fish, and data regarding other species, such as horses, sheep and goats were not found. Scientists understand that farm animal welfare is not only a matter of ethics, but also an essential tool to gain and maintain markets. However, it is unfortunate that little attention is paid to species that are not economically important for exports. Studies that emphasize on more humane ways to raise animals and that provide economic incentives to the producer are needed. An integrated multidisciplinary approach is necessary to highlight the benefits of introducing animal welfare techniques to existing production systems.

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Contrafreeloading occurs when animals spend time and effort to obtain food in the presence of freely available food. There are several interpretations for such an apparent contradiction to optimal foraging models, with an emphasis either on the need to gather and update information about the environment or on the value of performing species-typical responses. Evidence suggests that both gathering information about the environment and the expression of species-typical behaviour are important for the welfare of captive animals. The aim of the present study was to assess the existence of contrafreeloading in maned wolves (Chrysocyon brachyurus), in a situation where animals could get food directly from a "free" source and/or search and handle hidden food items, an alternative that requires more effort and is probably more similar to natural foraging conditions. Eight captive, pair-housed maned wolves were given weekly choice tests in which they could obtain food either by approaching the usual food tray in one section of the enclosure (Tray), and/or by searching for food at variable sites amongst the vegetation in the other section of the enclosure (Scattered). Results indicate that maned wolves spent more time in the Scattered than in the Tray section of the enclosure (P = 0.02) and that they obtained about half of the food from that section (48.54% +/- SE 0.69). Our results, the first to demonstrate contrafreeloading in maned wolves, have implications for the husbandry and welfare of this endangered species. (C) 2012 Elsevier B.V. All rights reserved.

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Studies of electoral fraud tend to focus their analyses only on the pre-electoral or electoral phases. By examining the Brazilian First Republic (1889-1930), this article shifts the focus to a later phase, discussing a particular type of electoral fraud that has been little explored by the literature, namely, that perpetrated by the legislatures themselves during the process of giving final approval to election results. The Brazilian case is interesting because of a practice known as degola ('beheading') whereby electoral results were altered when Congress decided on which deputies to certify as duly elected. This has come to be seen as a widespread and standard practice in this period. However, this article shows that this final phase of rubber-stamping or overturning election results was important not because of the number of degolas, which was actually much lower than the literature would have us believe, but chiefly because of their strategic use during moments of political uncertainty. It argues that the congressional certification of electoral results was deployed as a key tool in ensuring the political stability of the Republican regime in the absence of an electoral court.

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Fraud is a global problem that has required more attention due to an accentuated expansion of modern technology and communication. When statistical techniques are used to detect fraud, whether a fraud detection model is accurate enough in order to provide correct classification of the case as a fraudulent or legitimate is a critical factor. In this context, the concept of bootstrap aggregating (bagging) arises. The basic idea is to generate multiple classifiers by obtaining the predicted values from the adjusted models to several replicated datasets and then combining them into a single predictive classification in order to improve the classification accuracy. In this paper, for the first time, we aim to present a pioneer study of the performance of the discrete and continuous k-dependence probabilistic networks within the context of bagging predictors classification. Via a large simulation study and various real datasets, we discovered that the probabilistic networks are a strong modeling option with high predictive capacity and with a high increment using the bagging procedure when compared to traditional techniques. (C) 2012 Elsevier Ltd. All rights reserved.