12 resultados para Benchmarks

em University of Queensland eSpace - Australia


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This paper presents an analysis of the thermomechanical behavior of hollow circular cylinders of functionally graded material (FGM). The solutions are obtained by a novel limiting process that employs the solutions of homogeneous hollow circular cylinders, with no recourse to the basic theory or the equations of non-homogeneous thermoclasticity. Several numerical cases are studied, and conclusions are drawn regarding the general properties of thermal stresses in the FGM cylinder. We conclude that thermal stresses necessarily occur in the FGM cylinder, except in the trivial case of zero temperature. While heat resistance may be improved by sagaciously designing the material composition, careful attention must be paid to the fact that thermal stresses in the FGM cylinder are governed by more factors than are its homogeneous counterparts. The results that are presented here will serve as benchmarks for future related work. (C) 2003 Elsevier Science Ltd. All rights reserved.

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Background: Hospital performance reports based on administrative data should distinguish differences in quality of care between hospitals from case mix related variation and random error effects. A study was undertaken to determine which of 12 diagnosis-outcome indicators measured across all hospitals in one state had significant risk adjusted systematic ( or special cause) variation (SV) suggesting differences in quality of care. For those that did, we determined whether SV persists within hospital peer groups, whether indicator results correlate at the individual hospital level, and how many adverse outcomes would be avoided if all hospitals achieved indicator values equal to the best performing 20% of hospitals. Methods: All patients admitted during a 12 month period to 180 acute care hospitals in Queensland, Australia with heart failure (n = 5745), acute myocardial infarction ( AMI) ( n = 3427), or stroke ( n = 2955) were entered into the study. Outcomes comprised in-hospital deaths, long hospital stays, and 30 day readmissions. Regression models produced standardised, risk adjusted diagnosis specific outcome event ratios for each hospital. Systematic and random variation in ratio distributions for each indicator were then apportioned using hierarchical statistical models. Results: Only five of 12 (42%) diagnosis-outcome indicators showed significant SV across all hospitals ( long stays and same diagnosis readmissions for heart failure; in-hospital deaths and same diagnosis readmissions for AMI; and in-hospital deaths for stroke). Significant SV was only seen for two indicators within hospital peer groups ( same diagnosis readmissions for heart failure in tertiary hospitals and inhospital mortality for AMI in community hospitals). Only two pairs of indicators showed significant correlation. If all hospitals emulated the best performers, at least 20% of AMI and stroke deaths, heart failure long stays, and heart failure and AMI readmissions could be avoided. Conclusions: Diagnosis-outcome indicators based on administrative data require validation as markers of significant risk adjusted SV. Validated indicators allow quantification of realisable outcome benefits if all hospitals achieved best performer levels. The overall level of quality of care within single institutions cannot be inferred from the results of one or a few indicators.

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The Lattice Solid Model has been used successfully as a virtual laboratory to simulate fracturing of rocks, the dynamics of faults, earthquakes and gouge processes. However, results from those simulations show that in order to make the next step towards more realistic experiments it will be necessary to use models containing a significantly larger number of particles than current models. Thus, those simulations will require a greatly increased amount of computational resources. Whereas the computing power provided by single processors can be expected to increase according to Moore's law, i.e., to double every 18-24 months, parallel computers can provide significantly larger computing power today. In order to make this computing power available for the simulation of the microphysics of earthquakes, a parallel version of the Lattice Solid Model has been implemented. Benchmarks using large models with several millions of particles have shown that the parallel implementation of the Lattice Solid Model can achieve a high parallel-efficiency of about 80% for large numbers of processors on different computer architectures.

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This paper examines the measurement of long-horizon abnormal performance when stock selection is conditional on an extended period of past survival. Filtering on survival results in a sample driven towards more-established, frequently traded stocks and this has implications for the choice of benchmark used in performance measurement (especially in the presence of the well-documented size effect). A simulation study is conducted to document the properties of commonly employed performance measures conditional on past survival. The results suggest that the popular index benchmarks used in long-horizon event studies are severely biased and yield test statistics that are badly misspecified. In contrast, a matched-stock benchmark based on size and industry performs consistently well. Also, an eligible-stock index designed to mitigate the influence of the size effect proves effective.

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This article analyses the way newspapers and journalists sometimes fail to acknowledge and resolve some of the contentious ethical dilemmas associated with reporting news. Its focus is on not exploiting and vilifying the vulnerable, especially people with mental illness, through sensationalism and inaccurate and imprecise use of medical terminology such as "psycho ". "schizo" or "lunatic ". Because ethics is central to our understanding of professionalism, this article uses professions and professionalism as benchmarks aginst which to analyse and critique how journalists and newspapers define and report news.Sometimes journalists fail the test of good ethical practice in terms of negative. outdated and inaccurate expressions they use in the news stories they report. Likewise, regulators of news industry standards appear not to recognize and sanction such reporting. The apparent inability to resolve these ethical dilemmas creates a context conducive to tolerance for, not acceptance of. unethical news reporting.

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Objective To describe patients' perceptions of minimum worthwhile and desired reductions in pain and disability upon commencing treatment for chronic low back pain. Design and Setting Descriptive study nested within a community-based randomized controlled trial on prolotherapy injections and exercises. Patients A total of 110 participants with chronic low back pain. Interventions Prior to treatment, participants were asked what minimum percentage reductions in pain and disability would make treatment worthwhile and what percentage reductions in pain and disability they desired with treatment. Outcome Measures. Minimum worthwhile reductions and desired reductions in pain and disability. Results. Median (inter-quartile range) minimum worthwhile reductions were 25% (20%, 50%) for pain and 35% (20%, 50%) for disability. This compared with desired reductions of 80% (60%, 100%) for pain and 80% (50%, 100%) for disability. The internal consistency between pain and disability responses was high (Spearman's coefficient of association of 0.81 and 0.87, respectively). A significant association existed between minimum worthwhile reductions and desired reductions, but no association was found between these two factors and patient age, gender, pain severity or duration, disability, anxiety, depression, response to treatment, or treatment satisfaction. Conclusions. Inquiring directly about patients' expectations of reductions in pain and in disability is important in establishing realistic treatment goals and setting benchmarks for success. There is a wide disparity between the reductions that they regard as minimum worthwhile and reductions that they hope to achieve. However, there is a high internal consistency between reductions in pain and disability that they expect.

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Ecologists and economists both use models to help develop strategies for biodiversity management. The practical use of disciplinary models, however, can be limited because ecological models tend not to address the socioeconomic dimension of biodiversity management, whereas economic models tend to neglect the ecological dimension. Given these shortcomings of disciplinary models, there is a necessity to combine ecological and economic knowledge into ecological-economic models. It is insufficient if scientists work separately in their own disciplines and combine their knowledge only when it comes to formulating management recommendations. Such an approach does not capture feedback loops between the ecological and the socioeconomic systems. Furthermore, each discipline poses the management problem in its own way and comes up with its own most appropriate solution. These disciplinary solutions, however are likely to be so different that a combined solution considering aspects of both disciplines cannot be found. Preconditions for a successful model-based integration of ecology and economics include (1) an in-depth knowledge of the two disciplines, (2) the adequate identification and framing of the problem to be investigated, and (3) a common understanding between economists and ecologists of modeling and scale. To further advance ecological-economic modeling the development of common benchmarks, quality controls, and refereeing standards for ecological-economic models is desirable.

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Existing trauma registries in Australia and New Zealand play an important role in monitoring the management of injured patients. Over the past decade, such monitoring has been translated into changes in clinical processes and practices. Monitoring and changes have been ad hoc, as there are currently no Australasian benchmarks for optimal injury management. A binational trauma registry is urgently needed to benchmark injury management to improve outcomes for injured patients.