69 resultados para Recasting


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Mosquito-borne diseases pose some of the greatest challenges in public health, especially in tropical and sub-tropical regions of theworld. Efforts to control these diseases have been underpinned by a theoretical framework developed for malaria by Ross and Macdonald, including models, metrics for measuring transmission, and theory of control that identifies key vulnerabilities in the transmission cycle. That framework, especially Macdonald’s formula for R0 and its entomological derivative, vectorial capacity, are nowused to study dynamics and design interventions for many mosquito-borne diseases. A systematic review of 388 models published between 1970 and 2010 found that the vast majority adopted the Ross–Macdonald assumption of homogeneous transmission in a well-mixed population. Studies comparing models and data question these assumptions and point to the capacity to model heterogeneous, focal transmission as the most important but relatively unexplored component in current theory. Fine-scale heterogeneity causes transmission dynamics to be nonlinear, and poses problems for modeling, epidemiology and measurement. Novel mathematical approaches show how heterogeneity arises from the biology and the landscape on which the processes of mosquito biting and pathogen transmission unfold. Emerging theory focuses attention on the ecological and social context formosquito blood feeding, themovement of both hosts and mosquitoes, and the relevant spatial scales for measuring transmission and for modeling dynamics and control.

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Thirty-nine participants from 18 countries, including women fishworkers, representatives of fishworker organizations and NGOs, activists and researchers, met at Mahabalipuram, India, during 7-10 July 2010, to discuss the theme “Recasting the Net: Defining a Gender Agenda for Sustaining Life and Livelihoods in Fishing Communities”. The workshop was meant to reflect on what needs to be done to develop a ‘gender agenda’ for sustaining life and livelihoods in fisheries. It was also organized against the backdrop of the growing international recognition of small-scale fisheries and efforts to enhance their contribution to food security and poverty alleviation, as evidenced in the deliberations of the the Committee on Fisheries (COFI) of the Food and Agriculture Organization of the United Nations (FAO). This publication—the proceedings of the Mahabalipuram workshop—will be useful for fishworker organizations, gender activists, researchers, policymakers, fish farmers, members of civil society and anyone interested in gender, fisheries and livelihoods. (PDF contains 89 pages)

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This article explores the ways in which transnational feminist analysis can be deployed to reconfigure new gendered and racialized cartographies of the African Diaspora in Europe. First, I position contemporary film representations of trafficked Nigerian sex workers in Italy in dialogical relation to 19th century discourses of black sexuality - in particular, Sharpley-Whiting's (1999) reinscribed 'Black Venus Master Narrative' - and assess historical and geographical (dis)continuities in their modes of signification. Second, by linking endemic factors feeding the supply of Nigerian women for the purposes of (in)voluntary participation in the Italian sex industry, such as the localized feminization of poverty and regionally specific perceptions of sex work as a temporary economic strategy, I engage with broader feminist debates on victimization and agency in global sex work and migration literatures. In doing so, this dialectical think piece highlights the gendered complexities of new African diasporic formations and the ways in which their growth is facilitated by broader illegal networks that shape and are shaped by vicissitudes in glocalized economies. © 2004 Elsevier Ltd. All rights reserved.

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This paper reconceptualises the role of the small “local” newspaper in a new media environment and argues that definitions and concepts currently used to describe and define such publications are becoming increasingly problematic as newspapers shift into both print and online formats. The paper highlights the continued importance of geography for such newspapers at a time when there is wide academic debate on the relevance of territory and boundaries and the impact of time–space compression in a new media world. It argues, however, that a focus on a newspaper’s geographic connection must also acknowledge the increasing boundlessness and openness of the social space in which a newspaper operates. Ultimately this paper suggests the concept of “geo-social” news may be a more appropriate framework for scholars to consider such publications. I draw on the work of geography scholars, and discussions around “space” and “place” to construct the notion of “geo-social” news, highlighting some exemplars of small commercial newsroom practices in Australia, the United Kingdom and Canada and discussions with newspaper editors in Australia to demonstrate the relevance of the “geo-social” concept.

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Recasting process influence upon corrosion behavior of Co-Cr-Mo dental alloy in simulated physiological serum has been investigated using chemical and electrochemical techniques. Recast Co-Cr-Mo alloy by induction (IND) or by blowtorch (FLAME) has exhibited similar dendritic structures. Both IND and FLAME alloys have presented good corrosion resistance in physiological serum. Passivation process provides this corrosion resistance. Codissolution makes this process difficult. Passive films, formed on these alloys, have been analyzed as a dual layer consisting of an inner barrier and an outer porous layer. Passive film protective characteristics are higher in FLAME than in IND alloy. On this last alloy, the passive film is more porous due to a higher Codissolution. ©Carl Hanser Verlag, München.

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A number of recent books on ethics (Hirst and Patching 2005, Tanner et al, 2005, Ward, 2006)have indicated that traditional understandings of journalism "objectivity" are in need of renovation if they are to sustain the claim as a guide to ethical action. Ward argues for the recasting of the notions of traditional objectivity to offer a "pragmatic objectivity" as an alternative and plausible underpinning to ethical journalism practice. He argues that a recast or "pragmatic objectivity" should respond to the changing rhetorical relationship between journalists and their audiences; and, in so doing, should take inspiration from attempts to be objective in other domains---professions such as law and public relations in seeking models. This paper seeks to take a step in that direction through illustrating how journalism interviews do "objectivity" through an adaptation of the principles of the "Fourth Estate" to political interviews. It turns such analysis to the ends of establishing the particular "pragmatic ethic" underpinning such practices and how journalism interviewing techniques has allowed for proactive journalists to strike a workable balance between pursuing the public interest and observing the restraining protocols of modern journalistic practice.

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The research objectives of this thesis were to contribute to Bayesian statistical methodology by contributing to risk assessment statistical methodology, and to spatial and spatio-temporal methodology, by modelling error structures using complex hierarchical models. Specifically, I hoped to consider two applied areas, and use these applications as a springboard for developing new statistical methods as well as undertaking analyses which might give answers to particular applied questions. Thus, this thesis considers a series of models, firstly in the context of risk assessments for recycled water, and secondly in the context of water usage by crops. The research objective was to model error structures using hierarchical models in two problems, namely risk assessment analyses for wastewater, and secondly, in a four dimensional dataset, assessing differences between cropping systems over time and over three spatial dimensions. The aim was to use the simplicity and insight afforded by Bayesian networks to develop appropriate models for risk scenarios, and again to use Bayesian hierarchical models to explore the necessarily complex modelling of four dimensional agricultural data. The specific objectives of the research were to develop a method for the calculation of credible intervals for the point estimates of Bayesian networks; to develop a model structure to incorporate all the experimental uncertainty associated with various constants thereby allowing the calculation of more credible credible intervals for a risk assessment; to model a single day’s data from the agricultural dataset which satisfactorily captured the complexities of the data; to build a model for several days’ data, in order to consider how the full data might be modelled; and finally to build a model for the full four dimensional dataset and to consider the timevarying nature of the contrast of interest, having satisfactorily accounted for possible spatial and temporal autocorrelations. This work forms five papers, two of which have been published, with two submitted, and the final paper still in draft. The first two objectives were met by recasting the risk assessments as directed, acyclic graphs (DAGs). In the first case, we elicited uncertainty for the conditional probabilities needed by the Bayesian net, incorporated these into a corresponding DAG, and used Markov chain Monte Carlo (MCMC) to find credible intervals, for all the scenarios and outcomes of interest. In the second case, we incorporated the experimental data underlying the risk assessment constants into the DAG, and also treated some of that data as needing to be modelled as an ‘errors-invariables’ problem [Fuller, 1987]. This illustrated a simple method for the incorporation of experimental error into risk assessments. In considering one day of the three-dimensional agricultural data, it became clear that geostatistical models or conditional autoregressive (CAR) models over the three dimensions were not the best way to approach the data. Instead CAR models are used with neighbours only in the same depth layer. This gave flexibility to the model, allowing both the spatially structured and non-structured variances to differ at all depths. We call this model the CAR layered model. Given the experimental design, the fixed part of the model could have been modelled as a set of means by treatment and by depth, but doing so allows little insight into how the treatment effects vary with depth. Hence, a number of essentially non-parametric approaches were taken to see the effects of depth on treatment, with the model of choice incorporating an errors-in-variables approach for depth in addition to a non-parametric smooth. The statistical contribution here was the introduction of the CAR layered model, the applied contribution the analysis of moisture over depth and estimation of the contrast of interest together with its credible intervals. These models were fitted using WinBUGS [Lunn et al., 2000]. The work in the fifth paper deals with the fact that with large datasets, the use of WinBUGS becomes more problematic because of its highly correlated term by term updating. In this work, we introduce a Gibbs sampler with block updating for the CAR layered model. The Gibbs sampler was implemented by Chris Strickland using pyMCMC [Strickland, 2010]. This framework is then used to consider five days data, and we show that moisture in the soil for all the various treatments reaches levels particular to each treatment at a depth of 200 cm and thereafter stays constant, albeit with increasing variances with depth. In an analysis across three spatial dimensions and across time, there are many interactions of time and the spatial dimensions to be considered. Hence, we chose to use a daily model and to repeat the analysis at all time points, effectively creating an interaction model of time by the daily model. Such an approach allows great flexibility. However, this approach does not allow insight into the way in which the parameter of interest varies over time. Hence, a two-stage approach was also used, with estimates from the first-stage being analysed as a set of time series. We see this spatio-temporal interaction model as being a useful approach to data measured across three spatial dimensions and time, since it does not assume additivity of the random spatial or temporal effects.

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The Making Connections: Innovations in Learning and Teaching Forum, jointly hosted by the Division of Technology, Information and Learning Support (TILS) and the Learning and Teaching Unit (LTU), was held on 20 June. The forum provided a snapshot of innovative practice across QUT, as well as an overview of services supporting innovation. Past events have attracted sizeable audiences and informal feedback has been very positive and encouraging. The objective of the forum is to give an opportunity to academic teaching staff to share their innovative practice with their peers, and it is planned that more events will be held to allow for further sharing of ideas. The program for the June 2012 forum included the following presentations: Ms Lindy Osborne: The 7pm Project Dr Ana Pavasovic: A multifaceted approach to teaching a first year unit Mr Paul Willis: Out of our comfort zone: How can Collaborate engage students in inclusive teaching practices Dr Kelly Zuniga: Can you draw what I see? Recasting the ‘crit’ to engage a larger classroom audience Dr Peter Bell, Dr Mark Lauchs, Amy Henderson and Edward Robinson: Crime Club: Lightbulb moments Dr Deboarh Peach: Improving student engagement through the integration of blended delivery approaches in WIL. Lindy Osborne Biography: As an early career academic, Lindy Osborne draws upon professional experience as a registered architect to offer students pioneering curricula that are firmly grounded in real-world practice. Since commencing her academic career in 2008, she has purposefully reconceptualised the delivery of Architectural Design, Technology, Professional Practice and Research subjects, using innovative digital technology and empowering students to direct their own learning. Lindy is cognisant of the impact that the physical learning environment has on students, and seeks to actively modify it to support students by enabling powerful enactive learning. Using technology embedded flexible learning spaces and innovative simulated office practice pedagogy,students actively learn in an authentic environment, redressing the structural and cyclical factors that have resulted in a lack of workplace learning opportunities. Lindy’s creative integration of interdisciplinary opportunities, popular culture, social media and Web-2.0 technologies connects with students on their level, while they develop critical professional skills both inside and perhaps more importantly outside, the formal classroom environment.