963 resultados para Matthew Ryan


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Traditional approaches to teaching criminal law in Australian law schools include lectures that focus on the transmission of abstracted and decontextualised knowledge, with content often prioritised at the expense of depth. This paper discusses The Sapphire Vortex, a blended learning environment that combines a suite of on-line modules using Second Life machinima to depict a narrative involving a series of criminal offences and the ensuing courtroom proceedings, expert commentary by practising lawyers and class discussions.

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The rapid increase in the deployment of CCTV systems has led to a greater demand for algorithms that are able to process incoming video feeds. These algorithms are designed to extract information of interest for human operators. During the past several years, there has been a large effort to detect abnormal activities through computer vision techniques. Typically, the problem is formulated as a novelty detection task where the system is trained on normal data and is required to detect events which do not fit the learned `normal' model. Many researchers have tried various sets of features to train different learning models to detect abnormal behaviour in video footage. In this work we propose using a Semi-2D Hidden Markov Model (HMM) to model the normal activities of people. The outliers of the model with insufficient likelihood are identified as abnormal activities. Our Semi-2D HMM is designed to model both the temporal and spatial causalities of the crowd behaviour by assuming the current state of the Hidden Markov Model depends not only on the previous state in the temporal direction, but also on the previous states of the adjacent spatial locations. Two different HMMs are trained to model both the vertical and horizontal spatial causal information. Location features, flow features and optical flow textures are used as the features for the model. The proposed approach is evaluated using the publicly available UCSD datasets and we demonstrate improved performance compared to other state of the art methods.

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Amidst a proliferation of bestseller books, blockbuster films, television documentaries and sensational news reports, public awareness campaigns have claimed their place in a growing chorus of concern about the crime of human trafficking. These campaigns aim to capture the public’s support in efforts to eliminate a ‘modern slave trade’ in which individuals seeking a better life are transported across borders and forced into exploitative labour conditions. Constrained by the limitations of primary campaign materials (posters, print ads, billboards) typically allowing for only a single image and minimal text, it is unlikely that these awareness campaigns can accurately convey the complexity of the trafficking problem. This chapter explores how the depictions of trafficking victims in awareness campaigns can exclude those who do not fit a restrictive narrative mould. Nils Christie’s pivotal work on the construction of society’s ideal victim is the lens through which this paper examines the literal ‘poster child’ of the anti-trafficking movement.

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Crime, Justice and Social Democracy is a provocative and thoughtful collection of timely reflections on the state of social democracy and its inextricable links to crime and justice. Authored by some of the world's leading thinkers from the UK, US, Canada and Australia, with a preface from Professor David Garland of New York University, this volume provides a powerful social democratic critique of neoliberal regimes of governance and crime control on an international scale. Social democratic values raise broad questions about government, ethics, and the exercise of power in criminal justice institutions; each chapter here engages with how this might occur and with what consequences. The contributions to this volume, while critical and hard hitting, also boldly envision a more socially just criminal justice politic. This collection is essential reading for activists, scholars, legislators, politicians and policy makers who are concerned with promoting, imagining and understanding socially sustaining societies.

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Peggy Shaw has always had a host of crooners, lounge singers, movie stars, rock and roll bands, and eccentric family members living inside her. Ruff is a tribute to those who have kept Shaw company over the last 68 years, a lament for the absence of those who disappeared into the dark holes left behind by her recent stroke, and a celebration that her brain is able to fill the blank green screens with new insight. The original set and media environment for RUFF was conceived during a Split Britches residency hosted at QUT from June-August 2012, funded by Arts Queensland. After a preliminary season at Out North in Alaska RUFF premiered at Performance Space 122 2013 COIL festival, PS122 @ Dixon Place, New York in January 2013 and has since toured to the Chelsea Theatre in London and the Arches Festival in Glasgow. Co Written and Performed by Peggy Shaw, Co Written and Directed by Lois Weaver, Original Music Composed by Vivian Stoll, Choreography by Stormy Brandenburger, Set and Media Design by Matt Delbridge, Lighting Design by Lori E Said.

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Background: Ureaplasmas are the most prevalent bacteria isolated from preterm deliveries and the prognosis for neonates varies depending on the gestation at delivery. Ureaplasmas vary their surface-exposed antigen (MBA, a virulence mechanism) during chronic intra-amniotic infections, but it is not known when changes first occur during gestation. Method: U. parvum serovar 3 (2x10e7CFU) was injected intra-amniotically (IA) into six experimental cohorts of pregnant ewes (of n=7), 3 days (d) or 7d before delivery at either: 100d, 124d or 140d gestation (term=145d). Control ewes received IA 10B broth. Fetuses were delivered surgically and ureaplasmas cultured from amniotic fluid (AF), chorioamnion, fetal lung (FL) and umbilical cord. Ureaplasmas were tested by western blot to demonstrate MBA variation. Results: The highest number of ureaplasmas were recovered from FL at 100d gestation after 3 days of infection (p<0.03). Six of 7(86%) 100d–3d FL demonstrated an ureaplasma MBA variant, but only 17% and 15% of FL showed an MBA variant after 3d infection at 124d and 140d gestation respectively. Greatest variation of the MBA occurred in AF and FL at 124d gestation after 7d infection. The least MBA variation was observed at 140d; however, at this time the most severe histological chorioamnionitis was observed. Conclusions: After intra-amniotic ureaplasma injections, higher numbers of ureaplasmas gained access to the FL at 100d gestation than observed at later gestations. This may exacerbate the adverse outcomes for neonates delivered early in gestation. In late gestation, ureaplasma MBA variation was minimal, but chorioamnionitis was the most severe. Adverse pregnancy outcomes associated with IA ureaplasma infection may vary depending on the duration of gestation, the number of ureaplasmas isolated from the fetal tissues and the degree of MBA variation.

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The existence of intimate partner violence within non heterosexual and/or noncisgendered relationships is gaining greater recognition. There are a handful of community organisations that offer services and assistance to victims and perpetrators of this violence (particularly gay men and lesbians), and the body of research literature in this area is slowly growing. While some critiques warn of the dangers of applying the theoretical and conceptual tools developed to understand relationship violence among heterosexuals directly to queer relationships, the inclusion of queer relationships in these discourses has for the most part been celebrated as a positive step forward, addressing the historical invisibility of sexual minorities in these areas. Nevertheless, the debate about how best to understand and represent the experience of violence in these communities continues, with the focus being to determine whether it is better to expand the tools used to understand heterosexual intimate partner violence to include queer communities, or whether new tools are necessary in order to understand their experiences...

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The state of the practice in safety has advanced rapidly in recent years with the emergence of new tools and processes for improving selection of the most cost-effective safety countermeasures. However, many challenges prevent fair and objective comparisons of countermeasures applied across safety disciplines (e.g. engineering, emergency services, and behavioral measures). These countermeasures operate at different spatial scales, are funded often by different financial sources and agencies, and have associated costs and benefits that are difficult to estimate. This research proposes a methodology by which both behavioral and engineering safety investments are considered and compared in a specific local context. The methodology involves a multi-stage process that enables the analyst to select countermeasures that yield high benefits to costs, are targeted for a particular project, and that may involve costs and benefits that accrue over varying spatial and temporal scales. The methodology is illustrated using a case study from the Geary Boulevard Corridor in San Francisco, California. The case study illustrates that: 1) The methodology enables the identification and assessment of a wide range of safety investment types at the project level; 2) The nature of crash histories lend themselves to the selection of both behavioral and engineering investments, requiring cooperation across agencies; and 3) The results of the cost-benefit analysis are highly sensitive to cost and benefit assumptions, and thus listing and justification of all assumptions is required. It is recommended that a sensitivity analyses be conducted when there is large uncertainty surrounding cost and benefit assumptions.

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A comparison was made of accelerated professional development (APD) for nurses (n=64), involving peer consultation and reflective practice, and peer consultation alone (n=30). Although APD participants had a higher completion rate, improvements in caregiver behaviors and work environment were not significantly different.

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This article focuses on the evaluation of thesis supervision and highlights the vast range of problem areas presently documented as significant areas of concern for both graduate students and their supervisors. Additionally, the authors report on a study completed in 1995, which surveyed all Australian universities about current evaluative practices in postgraduate supervision. The conclusion of this study was that the conduct of such evaluations appears to be minimal and is primarily designed to obtain an indicator of the general “health” of a university's postgraduate supervision rather than to foster improved supervisory practices. As part of the same study, the authors conducted University faculty-based student and supervisor focus groups. Key issues emerging from these focus groups were: (1) the importance of relational aspects of supervision as the student communicates over the long term with one or more supervisors; (2) the importance of systematic feedback, monitoring, and evaluation to the supervisory process; and (3) the lack of strategies to facilitate this evaluative feedback process. On the basis of these findings, the authors designed evaluative strategies to facilitate regular ongoing feedback between students and supervisors.

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Since 2008 the social policy of Australia’s Labor government (in office since 2007) has been framed by a commitment to ‘social inclusion’. In this respect Australia belatedly aligned itself with policy imaginaries already widely, if variably, adopted in Europe (Atkinson & Davoudi 2000; Levitas et al 2007; Buckmaster & Thomas 2009). This framework has been self-consciously identified as what Labor governments are equipped to do. Framed by the post-2007 global financial crisis and agreeing with claims that ‘excessive greed’ and irresponsibility on the part of financial markets sponsored that calamity, the Labor government vigorously promoted its ‘social democratic’ credentials. Former Prime Minister Rudd has explained this meant that Australia would no longer adopt a neo-liberal orientation promoting unrestrained capitalism (Rudd 2009).

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Key distribution is one of the most challenging security issues in wireless sensor networks where sensor nodes are randomly scattered over a hostile territory. In such a sensor deployment scenario, there will be no prior knowledge of post deployment configuration. For security solutions requiring pairwise keys, it is impossible to decide how to distribute key pairs to sensor nodes before the deployment. Existing approaches to this problem are to assign more than one key, namely a key-chain, to each node. Key-chains are randomly drawn from a key-pool. Either two neighboring nodes have a key in common in their key-chains, or there is a path, called key-path, among these two nodes where each pair of neighboring nodes on this path has a key in common. Problem in such a solution is to decide on the key-chain size and key-pool size so that every pair of nodes can establish a session key directly or through a path with high probability. The size of the key-path is the key factor for the efficiency of the design. This paper presents novel, deterministic and hybrid approaches based on Combinatorial Design for key distribution. In particular, several block design techniques are considered for generating the key-chains and the key-pools.

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Moving fronts of cells are essential features of embryonic development, wound repair and cancer metastasis. This paper describes a set of experiments to investigate the roles of random motility and proliferation in driving the spread of an initially confined cell population. The experiments include an analysis of cell spreading when proliferation was inhibited. Our data have been analysed using two mathematical models: a lattice-based discrete model and a related continuum partial differential equation model. We obtain independent estimates of the random motility parameter, D, and the intrinsic proliferation rate, λ, and we confirm that these estimates lead to accurate modelling predictions of the position of the leading edge of the moving front as well as the evolution of the cell density profiles. Previous work suggests that systems with a high λ/D ratio will be characterized by steep fronts, whereas systems with a low λ/D ratio will lead to shallow diffuse fronts and this is confirmed in the present study. Our results provide evidence that continuum models, based on the Fisher–Kolmogorov equation, are a reliable platform upon which we can interpret and predict such experimental observations.