266 resultados para Death rates
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This article examines the news coverage the death of Steve Irwin, widely known as the Crocodile Hunter, generated in Australia. In line with past research on commemorative journalism, the study demonstrates the dominant discourses employed in the reporting of Irwin's death. It is argued that Australia's newspapers invoked a number of national myths, such as mateship, larrikinism and anti-elitism, in order to re-assert notions of Australian identity and social values and to deal with the grief over his loss. Most importantly, the study sheds new light on how news media deal with challenges to the dominant memorialising discourse. Past studies had not been able to investigate in much detail alternative discourses, but in examining Irwin's death, we are able to see how the media deal with such an unwanted interruption. It is argued that newspapers appropriated the alternative perspective within the mythical terms of their memorialising discourse, thereby not allowing it to disrupt the memorialisation itself and in fact further strengthening the process of mythologising the Crocodile Hunter.
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Recent years have seen a renewed interest in the relationship between the news, media and death. Driven by a perceived ubiquity of death and dying on television, in newspapers and on the internet, many scholars have attempted to more closely examine aspects of this coverage. The result is that there now exists a large body of scholarly work on death in the news, yet what has been lacking is a comprehensive synthesis of the field. This book seeks to close this gap by analyzing the scholarship on death in the news by way of a thematic approach. It provides a historical overview, looks at the conditions of production, content and reception, and also analyzes emerging trends in the representation of death online. This fascinating account provides a much needed overview of what we currently know about death in the news and provides food for thought for future studies in the field.
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This chapter will begin with a brief summary of some recent research in the field of comparative penology. This work will be examined to explore the benefits, difficulties and limits of attempting to link criminal justice issues to types of advanced democratic polities, with particular emphasis on political economies. This stream of comparative penology examines data such as imprisonment rates and levels of punitiveness in different countries, before drawing conclusions based on the patterns which seem to emerge. Foremost among these is that the high imprisoning countries tend to be the advanced western liberal democracies which have gone furthest in adopting neoliberal economic and social policies, as against the lower imprisonment rates of social democracies, which variably have attempted to temper free-market economic policies in various ways. Such work brings both social democracy and neoliberalism into focus as issues for, or subjects of, criminology. Not in the sense of new ‘brands’ of criminology but rather as an examination of the connections between the political projects of social democracy and neoliberalism, and issues of crime and criminal justice. In the new comparative penology, social democracy and neoliberalism are cast in opposition, simultaneously raising the questions of to what extent and how adequately both social democracy and neoliberalism have been constituted as subjects in criminology and whether dichotomy is the only available trope of analysis?
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In this paper, a Bayesian hierarchical model is used to anaylze the female breast cancer mortality rates for the State of Missouri from 1969 through 2001. The logit transformations of the mortality rates are assumed to be linear over the time with additive spatial and age effects as intercepts and slopes. Objective priors of the hierarchical model are explored. The Bayesian estimates are quite robustness in terms change of the hyperparamaters. The spatial correlations are appeared in both intercepts and slopes.
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The use of hierarchical Bayesian spatial models in the analysis of ecological data is increasingly prevalent. The implementation of these models has been heretofore limited to specifically written software that required extensive programming knowledge to create. The advent of WinBUGS provides access to Bayesian hierarchical models for those without the programming expertise to create their own models and allows for the more rapid implementation of new models and data analysis. This facility is demonstrated here using data collected by the Missouri Department of Conservation for the Missouri Turkey Hunting Survey of 1996. Three models are considered, the first uses the collected data to estimate the success rate for individual hunters at the county level and incorporates a conditional autoregressive (CAR) spatial effect. The second model builds upon the first by simultaneously estimating the success rate and harvest at the county level, while the third estimates the success rate and hunting pressure at the county level. These models are discussed in detail as well as their implementation in WinBUGS and the issues arising therein. Future areas of application for WinBUGS and the latest developments in WinBUGS are discussed as well.
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The process of dying at home brings the nexus between the paternalism of conventional palliative care and a social understanding of end of life care into sharp focus. Away from institutional places of care, issues of ownership, compliance and communal responsibility are heightened. At this interface, palliative care services are confronted with the irony of relinquishing their 'ownership' of dying whilst leading communities to reclaim their principal role in the business of dying. This benign – but enduring – paternalism remains a barrier to a paradigmatic shift towards a more complete understanding of the business of dying. Whilst nascent attempts to promote community engagement in end of life issues are evident in the interface between palliative care and public health, dying remains, for the most part, the remit of health care services. In this article, I contend that the business of dying is incompletely attended. This lack of attention will be partially redressed here by considering the home as a fitting death scene.
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Discussion at a session featuring a panel of editors of six leading media and communication journals. Annual conference of the Australian and New Zealand Communication Association, University of Melbourne, July 2007.
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Heparan sulfate proteoglycans (HSPGs) are complex and labile macromolecular moieties on the surfaces of cells that control the activities of a range of extracellular proteins, particularly those driving growth and regeneration. Here, we examine the biosynthesis of heparan sulfate (HS) sugars produced by cultured MC3T3-E1 mouse calvarial pre-osteoblast cells in order to explore the idea that changes in HS activity in turn drive phenotypic development during osteogenesis. Cells grown for 5 days under proliferating conditions were compared to cells grown for 20 days under mineralizing conditions with respect to their phenotype, the forms of HS core protein produced, and their HS sulfotransferase biosynthetic enzyme levels. RQ-PCR data was supported by the results from the purification of day 5 and day 20 HS forms by anionic exchange chromatography. The data show that cells in active growth phases produce more complex forms of sugar than cells that have become relatively quiescent during active mineralization, and that these in turn can differentially influence rates of cell growth when added exogenously back to preosteoblasts.
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Sudden, violent and otherwise unexplained deaths are investigated in most western jurisdictions through a Coronial or medico-legal process. A crucial element of such an investigation is the legislative requirement to remove the body for autopsy and other medical interventions, processes which can disrupt traditional religious and cultural grieving practices. While recent legislative changes in an increasing number of jurisdictions allow families to raise objections based on religious and cultural grounds, such concerns can be over-ruled, often exacerbating the trauma and grief of families. Based on funded research which interviews a range of Coronial staff in one Australian jurisdiction, this paper explores the disjuncture between medico-legal discourses, which position the body as corpse, and the rise of more ‘therapeutic’ discourses which recognise the family’s wishes to reposition the body as beloved and lamented.
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Global cereal production will need to increase by 50% to 70% to feed a world population of about 9 billion by 2050. This intensification is forecast to occur mostly in subtropical regions, where warm and humid conditions can promote high N2O losses from cropped soils. To secure high crop production without exacerbating N2O emissions, new nitrogen (N) fertiliser management strategies are necessary. This one-year study evaluated the efficacy of a nitrification inhibitor (3,4-dimethylpyrazole phosphate—DMPP) and different N fertiliser rates to reduce N2O emissions in a wheat–maize rotation in subtropical Australia. Annual N2O emissions were monitored using a fully automated greenhouse gas measuring system. Four treatments were fertilized with different rates of urea, including a control (40 kg-N ha−1 year−1), a conventional N fertiliser rate adjusted on estimated residual soil N (120 kg-N ha−1 year−1), a conventional N fertiliser rate (240 kg-N ha−1 year−1) and a conventional N fertiliser rate (240 kg-N ha−1 year−1) with nitrification inhibitor (DMPP) applied at top dressing. The maize season was by far the main contributor to annual N2O emissions due to the high soil moisture and temperature conditions, as well as the elevated N rates applied. Annual N2O emissions in the four treatments amounted to 0.49, 0.84, 2.02 and 0.74 kg N2O–N ha−1 year−1, respectively, and corresponded to emission factors of 0.29%, 0.39%, 0.69% and 0.16% of total N applied. Halving the annual conventional N fertiliser rate in the adjusted N treatment led to N2O emissions comparable to the DMPP treatment but extensively penalised maize yield. The application of DMPP produced a significant reduction in N2O emissions only in the maize season. The use of DMPP with urea at the conventional N rate reduced annual N2O emissions by more than 60% but did not affect crop yields. The results of this study indicate that: (i) future strategies aimed at securing subtropical cereal production without increasing N2O emissions should focus on the fertilisation of the summer crop; (ii) adjusting conventional N fertiliser rates on estimated residual soil N is an effective practice to reduce N2O emissions but can lead to substantial yield losses if the residual soil N is not assessed correctly; (iii) the application of DMPP is a feasible strategy to reduce annual N2O emissions from sub-tropical wheat–maize rotations. However, at the N rates tested in this study DMPP urea did not increase crop yields, making it impossible to recoup extra costs associated with this fertiliser. The findings of this study will support farmers and policy makers to define effective fertilisation strategies to reduce N2O emissions from subtropical cereal cropping systems while maintaining high crop productivity. More research is needed to assess the use of DMPP urea in terms of reducing conventional N fertiliser rates and subsequently enable a decrease of fertilisation costs and a further abatement of fertiliser-induced N2O emissions.
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The paper discusses the view of Franklin Miller and Robert Truog that withdrawing life-sustaining treatment causes death and so is a form of killing. I reject that view. I argue that even if we think there is no morally relevant difference between allowing a patient to die and killing her (itself a controversial view), it does not follow that allowing to die is a form of killing. I then argue that withdrawing life-sustaining treatment is properly classified as allowing the patient to die rather than as killing her. Once this is accepted, the law cannot be criticised for inconsistency by holding, as it does, that it is lawful to withdraw life-sustaining treatment but unlawful to give patients a lethal injection.
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Background Cancer monitoring and prevention relies on the critical aspect of timely notification of cancer cases. However, the abstraction and classification of cancer from the free-text of pathology reports and other relevant documents, such as death certificates, exist as complex and time-consuming activities. Aims In this paper, approaches for the automatic detection of notifiable cancer cases as the cause of death from free-text death certificates supplied to Cancer Registries are investigated. Method A number of machine learning classifiers were studied. Features were extracted using natural language techniques and the Medtex toolkit. The numerous features encompassed stemmed words, bi-grams, and concepts from the SNOMED CT medical terminology. The baseline consisted of a keyword spotter using keywords extracted from the long description of ICD-10 cancer related codes. Results Death certificates with notifiable cancer listed as the cause of death can be effectively identified with the methods studied in this paper. A Support Vector Machine (SVM) classifier achieved best performance with an overall F-measure of 0.9866 when evaluated on a set of 5,000 free-text death certificates using the token stem feature set. The SNOMED CT concept plus token stem feature set reached the lowest variance (0.0032) and false negative rate (0.0297) while achieving an F-measure of 0.9864. The SVM classifier accounts for the first 18 of the top 40 evaluated runs, and entails the most robust classifier with a variance of 0.001141, half the variance of the other classifiers. Conclusion The selection of features significantly produced the most influences on the performance of the classifiers, although the type of classifier employed also affects performance. In contrast, the feature weighting schema created a negligible effect on performance. Specifically, it is found that stemmed tokens with or without SNOMED CT concepts create the most effective feature when combined with an SVM classifier.
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Current military conflicts are characterized by the use of the improvised explosive device. Improvements in personal protection, medical care, and evacuation logistics have resulted in increasing numbers of casualties surviving with complex musculoskeletal injuries, often leading to lifelong disability. Thus, there exists an urgent requirement to investigate the mechanism of extremity injury caused by these devices in order to develop mitigation strategies. In addition, the wounds of war are no longer restricted to the battlefield; similar injuries can be witnessed in civilian centers following a terrorist attack. Key to understanding such mechanisms of injury is the ability to deconstruct the complexities of an explosive event into a controlled, laboratory-based environment. In this article, a traumatic injury simulator, designed to recreate in the laboratory the impulse that is transferred to the lower extremity from an anti-vehicle explosion, is presented and characterized experimentally and numerically. Tests with instrumented cadaveric limbs were then conducted to assess the simulator’s ability to interact with the human in two mounting conditions, simulating typical seated and standing vehicle passengers. This experimental device will now allow us to (a) gain comprehensive understanding of the load-transfer mechanisms through the lower limb, (b) characterize the dissipating capacity of mitigation technologies, and (c) assess the bio-fidelity of surrogates.