897 resultados para Fitzpatrick and Browne affair
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In numerical weather prediction, parameterisations are used to simulate missing physics in the model. These can be due to a lack of scientific understanding or a lack of computing power available to address all the known physical processes. Parameterisations are sources of large uncertainty in a model as parameter values used in these parameterisations cannot be measured directly and hence are often not well known; and the parameterisations themselves are also approximations of the processes present in the true atmosphere. Whilst there are many efficient and effective methods for combined state/parameter estimation in data assimilation (DA), such as state augmentation, these are not effective at estimating the structure of parameterisations. A new method of parameterisation estimation is proposed that uses sequential DA methods to estimate errors in the numerical models at each space-time point for each model equation. These errors are then fitted to pre-determined functional forms of missing physics or parameterisations that are based upon prior information. We applied the method to a one-dimensional advection model with additive model error, and it is shown that the method can accurately estimate parameterisations, with consistent error estimates. Furthermore, it is shown how the method depends on the quality of the DA results. The results indicate that this new method is a powerful tool in systematic model improvement.
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Recent opinion polls suggest that most Icelanders are against joining the EU. By the same token, however, a majority of those polled are in favour of continuing accession talks. These results show that Iceland’s relationship with the EU is a deeply divisive issue within the country. Although no date for the referendum has been set, the new centre-right coalition may thus want to settle this matter as soon as possible. Should there indeed be a majority in support of continuing negotiations, then Iceland’s accession process will become a complicated and cool affair in the hands of an anti-EU membership coalition government.
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v. 1. The stranger. Rolla. Pizarre. By A. von Kotzebue.--v. 2. Don Carlos, by F. Schiller. Count Benyowsky, by A. von Kotzebue.--v. 3. Lovers' vows. Deaf and dumb. Indian exiles. False delicacy. By A. von Kotzebue.--v. 4. Otto of Wittlesbach. Dageobert. By J.M. Babo. Adelaide of Wulfingen, by A. von Kotzebue.--v. 5. The robbers, by F. Schiller. The happy family, by A. von Kotzebue. Conscience, by A.W. Iffland.--v. 6. The ensign by F.L. Schroeder. Count Koenigsmark, by C. von Reitzenstein. Stella, by J.W. von Göethe. Emilia Galotti, by G.E. Lessing.
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Mode of access: Internet.
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Editors: 1867-77, A.T. Bledsoe (with Sophia M.B. Herrick, 1875-1877).
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The defeat of South Vietnam in 1975 transformed Vietnamese men into fleeing refugees, boat people, and state-sponsored asylees. Writing against the popular and scholarly representations of Vietnamese refugee men as incapacitated objects of rescue, this paper provides an in-depth analysis of the intimate, insightful, and intense portrayal of Vietnamese masculinities in lê thi diem thúy’s novel, The Gangster We Are All Looking For. Focusing on the “sad and broken” father in the novel, the article conceptualizes his bouts of domestic violence neither as a private family matter nor an example of individual failing, but as a social, historical, and transnational affair that exposes the conditions—war, urban neglect, poverty—under which Vietnamese masculinity is continually produced, negotiated and transformed.
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Knowledge of the efficacy of an intervention for disease control on an individual farm is essential to make good decisions on preventive healthcare, but the uncertainty in outcome associated with undertaking a specific control strategy has rarely been considered in veterinary medicine. The purpose of this research was to explore the uncertainty in change in disease incidence and financial benefit that could occur on different farms, when two effective farm management interventions are undertaken. Bovine mastitis was used as an example disease and the research was conducted using data from an intervention study as prior information within an integrated Bayesian simulation model. Predictions were made of the reduction in clinical mastitis within 30 days of calving on 52 farms, attributable to the application of two herd interventions previously reported as effective; rotation of dry cow pasture and differential dry cow therapy. Results indicated that there were important degrees of uncertainty in the predicted reduction in clinical mastitis for individual farms when either intervention was undertaken; the magnitude of the 95% credible intervals for reduced clinical mastitis incidence were substantial and of clinical relevance. The large uncertainty associated with the predicted reduction in clinical mastitis attributable to the interventions resulted in important variability in possible financial outcomes for each farm. The uncertainty in outcome associated with farm control measures illustrates the difficulty facing a veterinary clinician when making an on-farm decision and highlights the importance of iterative herd health procedures (continual evaluation, reassessment and adjusted interventions) to optimise health in an individual herd.
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Assessing the fit of a model is an important final step in any statistical analysis, but this is not straightforward when complex discrete response models are used. Cross validation and posterior predictions have been suggested as methods to aid model criticism. In this paper a comparison is made between four methods of model predictive assessment in the context of a three level logistic regression model for clinical mastitis in dairy cattle; cross validation, a prediction using the full posterior predictive distribution and two “mixed” predictive methods that incorporate higher level random effects simulated from the underlying model distribution. Cross validation is considered a gold standard method but is computationally intensive and thus a comparison is made between posterior predictive assessments and cross validation. The analyses revealed that mixed prediction methods produced results close to cross validation whilst the full posterior predictive assessment gave predictions that were over-optimistic (closer to the observed disease rates) compared with cross validation. A mixed prediction method that simulated random effects from both higher levels was best at identifying the outlying level two (farm-year) units of interest. It is concluded that this mixed prediction method, simulating random effects from both higher levels, is straightforward and may be of value in model criticism of multilevel logistic regression, a technique commonly used for animal health data with a hierarchical structure.
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The fundamental objective for health research is to determine whether changes should be made to clinical decisions. Decisions made by veterinary surgeons in the light of new research evidence are known to be influenced by their prior beliefs, especially their initial opinions about the plausibility of possible results. In this paper, clinical trial results for a bovine mastitis control plan were evaluated within a Bayesian context, to incorporate a community of prior distributions that represented a spectrum of clinical prior beliefs. The aim was to quantify the effect of veterinary surgeons’ initial viewpoints on the interpretation of the trial results. A Bayesian analysis was conducted using Markov chain Monte Carlo procedures. Stochastic models included a financial cost attributed to a change in clinical mastitis following implementation of the control plan. Prior distributions were incorporated that covered a realistic range of possible clinical viewpoints, including scepticism, enthusiasm and uncertainty. Posterior distributions revealed important differences in the financial gain that clinicians with different starting viewpoints would anticipate from the mastitis control plan, given the actual research results. For example, a severe sceptic would ascribe a probability of 0.50 for a return of <£5 per cow in an average herd that implemented the plan, whereas an enthusiast would ascribe this probability for a return of >£20 per cow. Simulations using increased trial sizes indicated that if the original study was four times as large, an initial sceptic would be more convinced about the efficacy of the control plan but would still anticipate less financial return than an initial enthusiast would anticipate after the original study. In conclusion, it is possible to estimate how clinicians’ prior beliefs influence their interpretation of research evidence. Further research on the extent to which different interpretations of evidence result in changes to clinical practice would be worthwhile.
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Prolific British author/illustrator Anthony Browne both participates in the classic fairy-tale tradition and appropriates its cultural capital, ultimately undertaking a process of self-canonisation alongside the dissemination of fairy tales. In reading Browne’s Hansel and Gretel (1981), The Tunnel (1989) and Into the Forest (2004), a trajectory emerges that moves from broadly intertextual to more exclusively self-referential modes of representation which reward readers of “Anthony Browne”, rather than readers of “fairy tales”. All three books depict ‘babes in the woods’ stories wherein child characters must negotiate some form of threat outside the home in order to return home safely. Thus, they represent childhood agency. However, these visions of agency are ultimately subordinated to logics of capital, which means that child readers of Browne’s fairy-tale books are overtly invited to identify with children who act, but are interpellated as privileged if they ‘know’. Bourdieu’s model of ‘cultural capital’ offers a lens for considering Browne’s production of ‘value’ for his own works within a broader cultural landscape which privileges literary fairy tales as a register of juvenile cultural competency. If cultural capital can be formulated most simply as the symbolic exchange value of approved modes of knowing and being, it is clearly helpful when trying to unpack logics of meaning within heavily intertextual or citational texts. It is also helpful thinking about what kinds of stories we as a culture choose to disseminate, choose to privilege, or choose to suppress. Zipes notes of fairy tales that, “the genre itself becomes a kind of institute that is involved in the socialization and acculturation of readers” (22). He elaborates that, “We initiate readers and expect them to learn the fairy-tale code as part of our responsibility in the civilizing process” (Zipes 29), so it is little wonder that Tatar describes fairy tales as “a vital part of our cultural capital” (xix). Although Browne is clearly interested in literary fairy tales, the most obvious strategies of self-canonisation take place in Browne’s work not in words but in pictures: hidden in plain sight, as illustration becomes self-reflexive citation.
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This book offers a framework for the influence of context on evaluation practice and is applied to three case studies: environmental context; indigenous context and political context; and finishes with a process for implementation.
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This article provides an account of one of Australia's great literary hoaxes - the Demidenko affair. In particular, it focuses upon the accusations that Helen Darville plagiarised a number of historical and literary texts in her novel, The Hand That Signed The Paper. This article considers how the dispute was interpreted in three different contexts - the literary community, the legal system, and the media. Part 1 examines how writers, publishers, and editors understood the controversy in terms of the aesthetics and ethics of plagiarism. Part 2 details how lawyers framed the discussion in light of economic rights and moral rights under copyright law. Part 3 deals with the media attention upon the personalities and politics of the scandal. The conclusion charts the competition between these various communities over who should resolve the dispute.