907 resultados para police research


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Firstly, the authors would like to thank the editor for the opportunity to respond to Dr Al-Azri’s and Dr Al-Maniri’s letter. Secondly, while the current authors also accept that deterrence-based approaches should act as only one corner-stone of a suite of interventions and public policy initiatives designed to improve road safety, deterrence-based approaches have nonetheless consistently proven to be a valuable resource to improve road safety. Dr Al-Azri and Dr Al-Maniri reinforce their assertion about the limited utility of deterrence by citing drink driving research, and the issue of drink driving is particularly relevant within the current context given that the problem of driving after drinking has historically been addressed through deterrence-based approaches. While the effectiveness of deterrence-based approaches to reduce drink driving will always be dependent upon a range of situational and contextual factors (including police enforcement practices, cultural norms, etc), the utilisation of this approach has proven particularly effective within Queensland, Australia. For example, a relatively recent comprehensive review of Random Breath Testing in Queensland demonstrated that this initiative not only had a deterrent impact upon self-reported intentions to drink and drive, but was also found to have significantly reduced alcohol-related fatalities in the state. However, the authors agree that deterrence-based approaches can be particularly transient and thus require constant “topping up” not least through sustained public reinforcement, which was clearly articulated in the seminal work by Homel.

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In this editorial letter, we provide the readers of Information Systems and e-Business Management with an introduction to Business Process Management and the challenges of empirical research in this field. We then briefly describe selected examples of current research efforts in this fields and how the papers accepted for this special issue contribute to extending our body of knowledge.

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Given global demand for new infrastructure, governments face substantial challenges in funding new infrastructure and simultaneously delivering Value for Money (VfM). The paper begins with an update on a key development in a new early/first-order procurement decision making model that deploys production cost/benefit theory and theories concerning transaction costs from the New Institutional Economics, in order to identify a procurement mode that is likely to deliver the best ratio of production costs and transaction costs to production benefits, and therefore deliver superior VfM relative to alternative procurement modes. In doing so, the new procurement model is also able to address the uncertainty concerning the relative merits of Public-Private Partnerships (PPP) and non-PPP procurement approaches. The main aim of the paper is to develop competition as a dependent variable/proxy for VfM and a hypothesis (overarching proposition), as well as developing a research method to test the new procurement model. Competition reflects both production costs and benefits (absolute level of competition) and transaction costs (level of realised competition) and is a key proxy for VfM. Using competition as a proxy for VfM, the overarching proposition is given as: When the actual procurement mode matches the predicted (theoretical) procurement mode (informed by the new procurement model), then actual competition is expected to match potential competition (based on actual capacity). To collect data to test this proposition, the research method that is developed in this paper combines a survey and case study approach. More specifically, data collection instruments for the surveys to collect data on actual procurement, actual competition and potential competition are outlined. Finally, plans for analysing this survey data are briefly mentioned, along with noting the planned use of analytical pattern matching in deploying the new procurement model and in order to develop the predicted (theoretical) procurement mode.

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In this paper, I show clear links between the theoretical underpinnings of SFL and those of specific sociological, anthropological, and communication research traditions. My purpose in doing so is to argue that SFL is an excellent interdisciplinary research method for the social sciences, especially considering the emergent form of political economy being touted by new media enthusiasts: the so called knowledge (or information) economy. To demonstrate the flexibility and salience of SFL in diverse traditions of social research, and as evidence of its ability to be deployed as a flexible research method across formerly impermeable disciplinary and social boundaries, I use analyses from my doctoral research, relating these - theoretically speaking - to specific research traditions in sociology, communication, and anthropology.

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The purpose of this article is to present lessons learnt by nurses when conducting research to encourage colleagues to ask good clinical research questions. This is accomplished by presenting a study designed to challenge current practice which included research flaws. The longstanding practice of weighing renal patients at 0600 hours and then again prior to receiving haemodialysis was examined. Nurses believed that performing the assessment twice, often within a few hours, was unnecessary and that patients were angry when woken to be weighed. An observational study with convenience sampling collected data from 46 individuals requiring haemodialysis, who were repeatedly sampled to provide 139 episodes of data. Although the research hypotheses were rejected, invaluable experience was gained, with research and clinical practice lessons learnt, along with surprising findings.

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A forced landing is an unscheduled event in flight requiring an emergency landing, and is most commonly attributed to engine failure, failure of avionics or adverse weather. Since the ability to conduct a successful forced landing is the primary indicator for safety in the aviation industry, automating this capability for unmanned aerial vehicles (UAVs) will help facilitate their integration into, and subsequent routine operations over civilian airspace. Currently, there is no commercial system available to perform this task; however, a team at the Australian Research Centre for Aerospace Automation (ARCAA) is working towards developing such an automated forced landing system. This system, codenamed Flight Guardian, will operate onboard the aircraft and use machine vision for site identification, artificial intelligence for data assessment and evaluation, and path planning, guidance and control techniques to actualize the landing. This thesis focuses on research specific to the third category, and presents the design, testing and evaluation of a Trajectory Generation and Guidance System (TGGS) that navigates the aircraft to land at a chosen site, following an engine failure. Firstly, two algorithms are developed that adapts manned aircraft forced landing techniques to suit the UAV planning problem. Algorithm 1 allows the UAV to select a route (from a library) based on a fixed glide range and the ambient wind conditions, while Algorithm 2 uses a series of adjustable waypoints to cater for changing winds. A comparison of both algorithms in over 200 simulated forced landings found that using Algorithm 2, twice as many landings were within the designated area, with an average lateral miss distance of 200 m at the aimpoint. These results present a baseline for further refinements to the planning algorithms. A significant contribution is seen in the design of the 3-D Dubins Curves planning algorithm, which extends the elementary concepts underlying 2-D Dubins paths to account for powerless flight in three dimensions. This has also resulted in the development of new methods in testing for path traversability, in losing excess altitude, and in the actual path formation to ensure aircraft stability. Simulations using this algorithm have demonstrated lateral and vertical miss distances of under 20 m at the approach point, in wind speeds of up to 9 m/s. This is greater than a tenfold improvement on Algorithm 2 and emulates the performance of manned, powered aircraft. The lateral guidance algorithm originally developed by Park, Deyst, and How (2007) is enhanced to include wind information in the guidance logic. A simple assumption is also made that reduces the complexity of the algorithm in following a circular path, yet without sacrificing performance. Finally, a specific method of supplying the correct turning direction is also used. Simulations have shown that this new algorithm, named the Enhanced Nonlinear Guidance (ENG) algorithm, performs much better in changing winds, with cross-track errors at the approach point within 2 m, compared to over 10 m using Park's algorithm. A fourth contribution is made in designing the Flight Path Following Guidance (FPFG) algorithm, which uses path angle calculations and the MacCready theory to determine the optimal speed to fly in winds. This algorithm also uses proportional integral- derivative (PID) gain schedules to finely tune the tracking accuracies, and has demonstrated in simulation vertical miss distances of under 2 m in changing winds. A fifth contribution is made in designing the Modified Proportional Navigation (MPN) algorithm, which uses principles from proportional navigation and the ENG algorithm, as well as methods specifically its own, to calculate the required pitch to fly. This algorithm is robust to wind changes, and is easily adaptable to any aircraft type. Tracking accuracies obtained with this algorithm are also comparable to those obtained using the FPFG algorithm. For all three preceding guidance algorithms, a novel method utilising the geometric and time relationship between aircraft and path is also employed to ensure that the aircraft is still able to track the desired path to completion in strong winds, while remaining stabilised. Finally, a derived contribution is made in modifying the 3-D Dubins Curves algorithm to suit helicopter flight dynamics. This modification allows a helicopter to autonomously track both stationary and moving targets in flight, and is highly advantageous for applications such as traffic surveillance, police pursuit, security or payload delivery. Each of these achievements serves to enhance the on-board autonomy and safety of a UAV, which in turn will help facilitate the integration of UAVs into civilian airspace for a wider appreciation of the good that they can provide. The automated UAV forced landing planning and guidance strategies presented in this thesis will allow the progression of this technology from the design and developmental stages, through to a prototype system that can demonstrate its effectiveness to the UAV research and operations community.

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This chapter summarizes the responses to four questions in each of the chapters in this volume. The questions addressed the use of a conceptual framework that guides the chapter, issues of domain-generality, how personal epistemology relates to teaching, and how personal epistemologies change. We concluded that all of the chapters discussed the distinction between constructivist and transmission teaching practices, while suggesting that there are many inconsistencies in understanding the relationship between the nature of beliefs and teachers’ practices regardless of the relative sophistication of teachers’ personal epistemologies. We also summarized a multi-component instructional model for calibrating teaching practices based on suggestions in each of the chapters, and made four suggestions for future research, including the need for an integrated theory that accounts for the development and manifestations of personal pistemology in the classroom, the generalizability of fi ndings across different measurements, a set of guidelines to promote teacher epistemological change, and an explicit instructional model that explains the development and calibration of beliefs and practices. The goal of this volume was to examine the relationship between teachers’ personal epistemologies and teacher education. Sixteen different chapters addressed one or more aspects of this issue. Although each of the chapters addressed different aspects of teachers’ personal epistemologies, a number of common themes are apparent across the chapters. We believe it is useful to articulate these themes in greater detail to provide a better retrospective understanding of this volume, as well as a better prospective framework for future research and changes to teacher training programs. We divide this chapter into two main sections. The fi rst section addresses four key questions about the nature of teachers’ personal epistemologies that were discussed in the introductory chapter as part of a larger set of questions. These questions focus on how to conceptualize these beliefs as explicit models; whether beliefs are domain-specifi c or domain-general; how beliefs are related to teaching; and how beliefs change over time. We provide a summary of each chapter in terms of these four questions. The second section proposes four general suggestions for future research based on the studies reported within this volume.