27 resultados para Susanna (Legend)


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Gone Fishing is the touching story of a boy and old man coming to terms with bereavement through their shared love of fishing, and the legend of Goliath, the biggest pike ever caught! Financed by 150 film makers, Gone Fishing is a short film directed by Guerilla Film Makers Handbook Author Chris Jones. Thirteen minutes of magic that will touch and move you. The story is in part autobiographical - while growing up, director Chris Jones and his friends would often attempt to catch the legendary 'Oscar the pike', a fish that according to local myth terrorized the lake at the end of his road, the aptly named Blue Lagoon. This was the inspiration behind the legend of 'Goliath', the big fish in this even bigger tale. Think 'Jaws' but for kids...

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Background: Preventing risk factor exposure is vital to reduce the high burden from lung cancer. The leading risk factor for developing lung cancer is tobacco smoking. In Australia, despite apparent success in reducing smoking prevalence, there is limited information on small area patterns and small area temporal trends. We sought to estimate spatio-temporal patterns for lung cancer risk factors using routinely collected population-based cancer data. Methods: The analysis used a Bayesian shared component spatio-temporal model, with male and female lung cancer included separately. The shared component reflected exposure to lung cancer risk factors, and was modelled over 477 statistical local areas (SLAs) and 15 years in Queensland, Australia. Analyses were also run adjusting for area-level socioeconomic disadvantage, Indigenous population composition, or remoteness. Results: Strong spatial patterns were observed in the underlying risk factor exposure for both males (median Relative Risk (RR) across SLAs compared to the Queensland average ranged from 0.48-2.00) and females (median RR range across SLAs 0.53-1.80), with high exposure observed in many remote areas. Strong temporal trends were also observed. Males showed a decrease in the underlying risk across time, while females showed an increase followed by a decrease in the final two years. These patterns were largely consistent across each SLA. The high underlying risk estimates observed among disadvantaged, remote and indigenous areas decreased after adjustment, particularly among females. Conclusion: The modelled underlying exposure appeared to reflect previous smoking prevalence, with a lag period of around 30 years, consistent with the time taken to develop lung cancer. The consistent temporal trends in lung cancer risk factors across small areas support the hypothesis that past interventions have been equally effective across the state. However, this also means that spatial inequalities have remained unaddressed, highlighting the potential for future interventions, particularly among remote areas.

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The story of Australian cinema is often told as one of brave and often futile struggle by passionate and talented filmmakers to tell Australian stories against the backdrop of an industry dominated locally as well as globally by Hollywood and its agents. In theses narratives international interests are often cast as the villains in the valiant struggle for national filmic self-expression. But such a focus on the national aspects of Australian cinema elides the depth of the international aspect of Australian cinema. A legend has grown around the last decade of the nineteenth century as a time of intense artistic and political activity when a national sensibility welled in writing, poetry and painting. Film too played a part in creating and sharing a vision of a nation, but from the earliest days film also linked Australia to the world.

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Albert Namatjira was Australia's first Indigenous professional artist. He adapted Western-style painting to express his cultural knowledge of the Arrernte country, for which he was a traditional custodian. In his lifetime, Albert Namatjira achieved great acclaim for his exceptional ability as an artist. However, after his untimely death, he was ignored by the mainstream Australian art world, because of the aesthetic prejudices and social policies of the time. A recent exhibition entitled Seeing the Centre: The art of Albert Namatjira (1902-1959) curated by Alison French has sought to redress this neglect, and provide a retrospective of his work. The exhibition has brought to light that the copyright in the artistic works of Albert Namatjira has not been passed onto his family descendants. In June 1957, Namatjira entered into a copyright agreement with John Brackenreg, the owner of a publishing company by the name of Legend Press, and the associated Artarmon Galleries in Sydney. It was agreed that Legend Press would pay royalties to Namatjira for the sole right to reproduce all of his paintings. Following Namatjira's death in 1959, the administration of his estate passed to the Public Trustee for the Northern Territory Government. The Public Trustee of the Northern Territory Government authorised the sale of Namatjira's copyright to Legend Press in 1983, thereby ending the ability of the descendents of Namatjira to benefit from on-going income from the reproduction of his works. Senator Aden Ridgeway of the Democrats has called on the Federal Government to enter into discussions with the Northern Territory Government to buy back the copyright in Albert Namatjira's works. He argued that exclusive control of the use and reproduction of his works should be restored to his descendants, as well as the receipt of all financial benefits that result from the use and reproduction of his works under copyright protection. The Senator said: 'By doing this, we will all be rewarded, because finally, belatedly, we will be showing Albert Namatjira the reverence that he has always deserved. We will be protecting his legacy for future generations'.

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Background Multilevel and spatial models are being increasingly used to obtain substantive information on area-level inequalities in cancer survival. Multilevel models assume independent geographical areas, whereas spatial models explicitly incorporate geographical correlation, often via a conditional autoregressive prior. However the relative merits of these methods for large population-based studies have not been explored. Using a case-study approach, we report on the implications of using multilevel and spatial survival models to study geographical inequalities in all-cause survival. Methods Multilevel discrete-time and Bayesian spatial survival models were used to study geographical inequalities in all-cause survival for a population-based colorectal cancer cohort of 22,727 cases aged 20–84 years diagnosed during 1997–2007 from Queensland, Australia. Results Both approaches were viable on this large dataset, and produced similar estimates of the fixed effects. After adding area-level covariates, the between-area variability in survival using multilevel discrete-time models was no longer significant. Spatial inequalities in survival were also markedly reduced after adjusting for aggregated area-level covariates. Only the multilevel approach however, provided an estimation of the contribution of geographical variation to the total variation in survival between individual patients. Conclusions With little difference observed between the two approaches in the estimation of fixed effects, multilevel models should be favored if there is a clear hierarchical data structure and measuring the independent impact of individual- and area-level effects on survival differences is of primary interest. Bayesian spatial analyses may be preferred if spatial correlation between areas is important and if the priority is to assess small-area variations in survival and map spatial patterns. Both approaches can be readily fitted to geographically enabled survival data from international settings

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Objective: To provide an overview of the incidence and mortality of female breast cancer for countries in the Asia-Pacific region. Methods: Statistical information about breast cancer was obtained from publicly available cancer registry and mortality databases (such as GLOBOCAN), and supplemented with data requested from individual cancer registries. Rates were directly age-standardised to the Segi World Standard population and trends were analysed using joinpoint models. Results: Breast cancer was the most common type of cancer among females in the region, accounting for 18% of all cases in 2012, and was the fourth most common cause of cancer-related deaths (9%). Although incidence rates remain much higher in New Zealand and Australia, rapid rises in recent years were observed in several Asian countries. Large increases in breast cancer mortality rates also occurred in many areas, particularly Malaysia and Thailand, in contrast to stabilising trends in Hong Kong and Singapore, while decreases have been recorded in Australia and New Zealand. Mortality trends tended to be more favourable for women aged under 50 compared to those who were 50 years or older. Conclusion: It is anticipated that incidence rates of breast cancer in developing countries throughout the Asia-Pacific region will continue to increase. Early detection and access to optimal treatment are the keys to reducing breast cancer-related mortality, but cultural and economic obstacles persist. Consequently, the challenge is to customise breast cancer control initiatives to the particular needs of each country to ensure the best possible outcomes.

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Cancer is the leading contributor to the disease burden in Australia. This thesis develops and applies Bayesian hierarchical models to facilitate an investigation of the spatial and temporal associations for cancer diagnosis and survival among Queenslanders. The key objectives are to document and quantify the importance of spatial inequalities, explore factors influencing these inequalities, and investigate how spatial inequalities change over time. Existing Bayesian hierarchical models are refined, new models and methods developed, and tangible benefits obtained for cancer patients in Queensland. The versatility of using Bayesian models in cancer control are clearly demonstrated through these detailed and comprehensive analyses.

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description and analysis of geographically indexed health data with respect to demographic, environmental, behavioural, socioeconomic, genetic, and infectious risk factors (Elliott andWartenberg 2004). Disease maps can be useful for estimating relative risk; ecological analyses, incorporating area and/or individual-level covariates; or cluster analyses (Lawson 2009). As aggregated data are often more readily available, one common method of mapping disease is to aggregate the counts of disease at some geographical areal level, and present them as choropleth maps (Devesa et al. 1999; Population Health Division 2006). Therefore, this chapter will focus exclusively on methods appropriate for areal data...

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Review of Stuart Coupe's biography of Australian music legend Michael Gudinski.

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Disease maps are effective tools for explaining and predicting patterns of disease outcomes across geographical space, identifying areas of potentially elevated risk, and formulating and validating aetiological hypotheses for a disease. Bayesian models have become a standard approach to disease mapping in recent decades. This article aims to provide a basic understanding of the key concepts involved in Bayesian disease mapping methods for areal data. It is anticipated that this will help in interpretation of published maps, and provide a useful starting point for anyone interested in running disease mapping methods for areal data. The article provides detailed motivation and descriptions on disease mapping methods by explaining the concepts, defining the technical terms, and illustrating the utility of disease mapping for epidemiological research by demonstrating various ways of visualising model outputs using a case study. The target audience includes spatial scientists in health and other fields, policy or decision makers, health geographers, spatial analysts, public health professionals, and epidemiologists.

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Recognized around the world as a powerful beacon for freedom, hope, and opportunity, the Statue of Liberty's light is not just metaphorical: her dramatic illumination is a perfect example of American ingenuity and engineering. Since the statue's installation in New York Harbor in 1886, lighting engineers and designers had struggled to illuminate the 150-foot copper-clad monument in a manner becoming an American icon. It took the thoughtful and creative approach of Howard Brandston-a legend in his own right-to solve this lighting challenge. In 1984, the designer was asked to give the statue a much-needed lighting makeover in preparation for its centennial. In order to avoid the shortcomings of previous attempts, he studied the monument from every angle and in all lighting conditions, discovering that it looked best in the light of dawn. Brandston determined that he would need 'one lamp to mimic the morning sun and one lamp to mimic the morning sky.' Learning that no existing lamps could simulate these conditions, Brandston partnered with General Electric to develop two new metal halide products. With only a short time for R&D, a team of engineers at GE's Nela Park laboratories assembled a 'top secret' testing room dedicated to the Statue of Liberty project. After nearly two years of work to perfect the new lamps, the 'dawn's early light' effect was finally achieved just days before the centennial celebrations were to take place in 1986. 'It was truly a labor of love,' he recalls.