172 resultados para OCD COLLABORATIVE GENETICS


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Work-integrated learning (WIL) is a signature feature of study in many higher education institutions. In business degrees, industry feedback is recognized as an integral part of the assessment of WIL, yet the role played by industry in appraising student performance in the workplace has not been clearly defined. Based on interviews with industry supervisors and academic mentors, this paper addresses the integration of academic and industry supervisor assessment practices designed to maximize student learning outcomes and capture the depth of the learning experiences during a work placement. A model of industry feedback was developed to incorporate planned assessment practices that achieve the learning outcomes agreed to at the start of the placement by all stakeholders: the student, the academic mentor and the industry supervisor.

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Obesity is a risk factor for cancer. However, it is not known if general adiposity, as measured by body mass index (BMI) or central adiposity [e.g., waist circumference (WC)] have stronger associations with cancer, or which anthropometric measure best predicts cancer risk. We included 79,458 men and women from the Australian and New Zealand Diabetes and Cancer Collaboration with complete data on anthropometry [BMI, WC, Hip Circumference (HC), WHR, waist to height ratio (WtHR), A Body Shape Index (ABSI)], linked to the Australian Cancer Database. Cox proportional hazards models assessed the association between each anthropometric marker, per standard deviation and the risk of overall, colorectal, post-menopausal (PM) breast, prostate and obesity-related cancers. We assessed the discriminative ability of models using Harrell's c-statistic. All anthropometric markers were associated with overall, colorectal and obesity-related cancers. BMI, WC and HC were associated with PM breast cancer and no significant associations were seen for prostate cancer. Strongest associations were observed for WC across all outcomes, excluding PM breast cancer for which HC was strongest. WC had greater discrimination compared to BMI for overall and colorectal cancer in men and women with c-statistics ranging from 0.70 to 0.71. We show all anthropometric measures are associated with the overall, colorectal, PM breast and obesity-related cancer in men and women, but not prostate cancer. WC discriminated marginally better than BMI. However, all anthropometric measures were similarly moderately predictive of cancer risk. We do not recommend one anthropometric marker over another for assessing an individuals' risk of cancer.

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BACKGROUND: Despite the success of the Breakthrough Collaborative Methodology (BCM) in increasing organ donation rates there has been little published evidence on the effect of the BCM on the wider attitudes and experiences of those involved in organ donation. This study sought to identify whether the National Organ Donation Collaborative in Australia had any additional influence on improving the experiences of staff and family members in the organ donation process. METHODS: IN-depth qualitative interviews with 17 family members from 13 families who had agreed to the organ donation of a deceased relative and 25 nurses and intensive care specialists at the Alfred Hospital, Melbourne, Victoria were carried out. RESULTS: The key factor in family members' decision to donate was prior knowledge of the deceased's donation wish. Although most family members did not regret their decision to donate, many were deeply dissatistified and, at times, confused by the technical and administrative nature of the donation process. Most staff members commented that the key community message about donation should be to encourage people to discuss donation rather than urging people to sign donor registers. CONCLUSION: This study identified valuable insights into the processes by which family members and intensive care unit staff deal with the actual processes of donation. Findings suggest that the process for families is far more complex than a simple agreement or refusal to donate. This study suggests that we should not assume that 'rates' of donation in Australia would increase merely through administrative programmes or marketing campaigns.

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Since the United Nations adopted the Convention on the Rights of the Child in 1989, there has been global consensus that children need to be involved in the planning and design of their environment. There exist various international initiatives that support collaborative design with children, with co-design projects conducted in different areas of the world. Evolving from the global context of co-design, this project explores creativity in relation to architectural design with children. Between October and December 2011, a team of architecture students from Deakin University worked with children from Roslyn Primary School (both institutions located in Victoria, Australia) to design a playground structure. Informed by Rhodes’s (1961) theory, creativity in this co-design project was addressed through the four dimensions of creative designers, creative context, creative process, and creative design outcomes. The findings of this study corroborate Rhodes’s theory of creativity, and suggest that it is useful to engender creative architectural design with children.

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This study presents an evaluation of Operation RESET, a community engagement intervention designed to help remote Indigenous communities and human service agencies to uncover, respond to, and prevent child sexual abuse. The primary aim of this evaluation was to determine whether the intervention was associated with increased reporting. Data were obtained for six Western Australian regions between 2007 and 2012. Number of reports and arrests significantly increased in the intervention areas during the intervention compared with the pre-intervention time period but not in the control areas. Arrest rates significantly increased during the intervention and increased further following the intervention. There were no changes in arrest rates in regions that did not participate in the operation. This evidence suggests that the reforms led to a marked improvement in some key outcomes for Indigenous victims of child sexual abuse and supports the adoption of this collaborative approach by other jurisdictions.

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 Indigenous people stand to benefit from advances in genomic technology, but genetic research in Indigenous communities has been controversial. This article reviews the ethical issues that Indigenous people and others have raised with reference to genetic research projects and biobanks. The ethical issues that apply to Indigenous people should be seen as additional to ‘conventional’ ethical issues that apply to all people, rather than replacing them. The additional ethical concerns discussed include group harm; cultural beliefs relating to biospecimens and human origins; community engagement and collective consent; benefit; ownership; and whether biospecimens can and should be ‘repatriated.’

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Learning preference models from human generated data is an important task in modern information processing systems. Its popular setting consists of simple input ratings, assigned with numerical values to indicate their relevancy with respect to a specific query. Since ratings are often specified within a small range, several objects may have the same ratings, thus creating ties among objects for a given query. Dealing with this phenomena presents a general problem of modelling preferences in the presence of ties and being query-specific. To this end, we present in this paper a novel approach by constructing probabilistic models directly on the collection of objects exploiting the combinatorial structure induced by the ties among them. The proposed probabilistic setting allows exploration of a super-exponential combinatorial state-space with unknown numbers of partitions and unknown order among them. Learning and inference in such a large state-space are challenging, and yet we present in this paper efficient algorithms to perform these tasks. Our approach exploits discrete choice theory, imposing generative process such that the finite set of objects is partitioned into subsets in a stagewise procedure, and thus reducing the state-space at each stage significantly. Efficient Markov chain Monte Carlo algorithms are then presented for the proposed models. We demonstrate that the model can potentially be trained in a large-scale setting of hundreds of thousands objects using an ordinary computer. In fact, in some special cases with appropriate model specification, our models can be learned in linear time. We evaluate the models on two application areas: (i) document ranking with the data from the Yahoo! challenge and (ii) collaborative filtering with movie data. We demonstrate that the models are competitive against state-of-the-arts.