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In the face of improved First Nation outcomes in many western nations, Australia is still dealing with a seemingly intractable gap between the quality of life of its Aboriginal and Torres Strait Islander peoples and the non-Aboriginal and Torres Strait Islander population. Philanthropy in Australia provides a smaller proportion of funding for community projects than is the case in other countries and Aboriginal and Torres Strait Islander causes have been significantly under - represented as recipients. This paper reports on a qualitative study aimed at understanding the issues affecting the decisions and actions of grantmaking organisations and individuals who wish to support Aboriginal and Torres Strait Islander causes in the current Australian context. The aims were to build on the limited research in this arena, add to the future research agenda and contribute to practice and policy insights for Australia and beyond. The study found that while government funding programs are perceived as output driven, inflexible and dogmatic - ‘a cup of tea mob’- participants see the Australian philanthropic sector as capable of addressing the complex Aboriginal and Torres Strait Islander ‘problem’ with more innovative and independent thinking. From the point of view of contextual impacts, success criteria, barriers, structural imposts and emotional involvement, the practical experience in grantmaking for Indigenous causes of participants in this study reflects that found elsewhere. However the focus of many grantmakers on organisational rather than community capacity and the potentially elitist emphasis on established relationships continues to hamper Aboriginal and Torres Strait Islander access to philanthropic funding in Australia. Further, if the strategic changes currently visible in the sector are unsupported by a depth of policy and a proactive transfer and distribution of skill and knowledge they may be unsustainable.

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Since 1986 Vietnam has been engaged in the transition from a centrally-controlled economy to a socialist-oriented market economy (the 'doi moi' renovation). The process for global economic integration has been slow given the magnitude of necessary reforms. Consequently technology entrepreneurs often discount Vietnam as a possible commercialization base which means that it is not realising its economic potential as a hub of technology transfer in the Asia-Pacific region. Three significant factors in the current uncertainty are Vietnam's laws on competition, intellectual property and technology transfer. Another problem is the lack of literature on these laws. This article first discusses the conceptual relationship between competition, intellectual property and technology transfer. Hopefully the article will provide some guidance for the technology entrepreneur considering foreign direct investment (FDI) in Vietnam. The bottom line is that these laws still need further reform to bolster entrepreneurial confidence.

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Following Youngjohn, Lees-Haley, and Binder's (1999) comment on Johnson and Lesniak-Karpiak's (1997) study that warnings lead to more subtle malingering, researchers have sought to better understand warning effects. However, such studies have been largely atheoretical and may have confounded warning and coaching. This study examined the effect on malingering of a warning that was based on criminological-sociological concepts derived from the rational choice model of deterrence theory. A total of 78 participants were randomly assigned to a control group, an unwarned simulator group, or one of two warned simulator groups. The warning groups comprised low- and high-level conditions depending on warning intensity. Simulator participants received no coaching about how to fake tests. Outcome variables were scores derived from the Test of Memory Malingering and Wechsler Memory Scale-III. When the rate of malingering was compared across the four groups, a high-level warning effect was found such that warned participants were significantly less likely to exaggerate than unwarned simulators. In an exploratory follow-up analysis, the warned groups were divided into those who reported malingering and those who did not report malingering, and the performance of these groups was compared to that of unwarned simulators and controls. Using this approach, results showed that participants who were deterred from malingering by warning performed no worse than controls. However, on a small number of tests, self-reported malingerers in the low-level warning group appeared less impaired than unwarned simulators. This pattern was not observed in the high-level warning condition. Although cautious interpretation of findings is necessitated by the exploratory nature of some analyses, overall results suggest that using a carefully designed warning may be useful for reducing the rate of malingering. The combination of some noteworthy effect sizes, despite low power and the small size of some groups, suggests that further investigation of the effects of warnings needs to continue to determine their effect more fully.

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The increasing scarcity of water in the world, along with rapid population increase in urban areas, gives reason for concern and highlights the need for integrating water and wastewater management practices. The uncontrolled growth in urban areas has made planning, management and expansion of water and wastewater infrastructure systems very difficult and expensive. In order to achieve sustainable wastewater treatment and promote the conservation of water and nutrient resources, this chapter advocates the need for a closed-loop treatment system approach, and the transformation of the traditional linear treatment systems into integrated cyclical treatment systems. The recent increased understanding of integrated resource management and a shift towards sustainable management and planning of water and wastewater infrastructure are also discussed.

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Continuous biometric authentication schemes (CBAS) are built around the biometrics supplied by user behavioural characteristics and continuously check the identity of the user throughout the session. The current literature for CBAS primarily focuses on the accuracy of the system in order to reduce false alarms. However, these attempts do not consider various issues that might affect practicality in real world applications and continuous authentication scenarios. One of the main issues is that the presented CBAS are based on several samples of training data either of both intruder and valid users or only the valid users' profile. This means that historical profiles for either the legitimate users or possible attackers should be available or collected before prediction time. However, in some cases it is impractical to gain the biometric data of the user in advance (before detection time). Another issue is the variability of the behaviour of the user between the registered profile obtained during enrollment, and the profile from the testing phase. The aim of this paper is to identify the limitations in current CBAS in order to make them more practical for real world applications. Also, the paper discusses a new application for CBAS not requiring any training data either from intruders or from valid users.

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At QUT research data refers to information that is generated or collected to be used as primary sources in the production of original research results, and which would be required to validate or replicate research findings (Callan, De Vine, & Baker, 2010). Making publicly funded research data discoverable by the broader research community and the public is a key aim of the Australian National Data Service (ANDS). Queensland University of Technology (QUT) has been innovating in this space by undertaking mutually dependant technical and content (metadata) focused projects funded by ANDS. Research Data Librarians identified and described datasets generated from Category 1 funded research at QUT, by interviewing researchers, collecting metadata and fashioning metadata records for upload to the Australian Research Data commons (ARDC) and exposure through the Research Data Australia interface. In parallel to this project, a Research Data Management Service and Metadata hub project were being undertaken by QUT High Performance Computing & Research Support specialists. These projects will collectively store and aggregate QUT’s metadata and research data from multiple repositories and administration systems and contribute metadata directly by OAI-PMH compliant feed to RDA. The pioneering nature of the work has resulted in a collaborative project dynamic where good data management practices and the discoverability and sharing of research data were the shared drivers for all activity. Each project’s development and progress was dependent on feedback from the other. The metadata structure evolved in tandem with the development of the repository and the development of the repository interface responded to meet the needs of the data interview process. The project environment was one of bottom-up collaborative approaches to process and system development which matched top-down strategic alliances crossing organisational boundaries in order to provide the deliverables required by ANDS. This paper showcases the work undertaken at QUT, focusing on the Seeding the Commons project as a case study, and illustrates how the data management projects are interconnected. It describes the processes and systems being established to make QUT research data more visible and the nature of the collaborations between organisational areas required to achieve this. The paper concludes with the Seeding the Commons project outcomes and the contribution this project made to getting more research data ‘out there’.

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A review of Lloyd Jones's Mister Pip; winner of the 2007 Commonwealth Writer's Prize and shortlisted for the 2007 Man Booker Prize.

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This interview with Paul Makeham was conducted in 2010 by Felipe Carneiro from Brazilian business magazine Exame. Structured around Exame's "seven questions" format ("Sete Perguntas"), the interview ranges across topics relating to the creative economy, including the increasingly important role of creativity in business, and the role of education in promoting creativity.

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Occlusion is a big challenge for facial expression recognition (FER) in real-world situations. Previous FER efforts to address occlusion suffer from loss of appearance features and are largely limited to a few occlusion types and single testing strategy. This paper presents a robust approach for FER in occluded images and addresses these issues. A set of Gabor based templates is extracted from images in the gallery using a Monte Carlo algorithm. These templates are converted into distance features using template matching. The resulting feature vectors are robust to occlusion. Occluded eyes and mouth regions and randomly places occlusion patches are used for testing. Two testing strategies analyze the effects of these occlusions on the overall recognition performance as well as each facial expression. Experimental results on the Cohn-Kanade database confirm the high robustness of our approach and provide useful insights about the effects of occlusion on FER. Performance is also compared with previous approaches.