957 resultados para Number field
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Purpose Corneal confocal microscopy (CCM) is a rapid non-invasive ophthalmic technique, which has been shown to diagnose and stratify the severity of diabetic neuropathy. Current morphometric techniques assess individual static images of the subbasal nerve plexus; this work explores the potential for non-invasive assessment of the wide-field morphology and dynamic changes of this plexus in vivo. Methods In this pilot study, laser scanning CCM was used to acquire maps (using a dynamic fixation target and semi-automated tiling software) of the central corneal sub-basal nerve plexus in 4 diabetic patients with and 6 without neuropathy and in 2 control subjects. Nerve migration was measured in an additional 7 diabetic patients with neuropathy, 4 without neuropathy and in 2 control subjects by repeating a modified version of the mapping procedure within 2-8 weeks, thus facilitating re-identification of distinctive nerve landmarks in the 2 montages. The rate of nerve movement was determined from these data and normalised to a weekly rate (µm/week), using customised software. Results Wide-field corneal nerve fibre length correlated significantly with the Neuropathy Disability Score (r = -0.58, p < 0.05), vibration perception (r = -0.66, p < 0.05) and peroneal conduction velocity (r = 0.67, p < 0.05). Central corneal nerve fibre length did not correlate with any of these measures of neuropathy (p > 0.05 for all). The rate of corneal nerve migration was 14.3 ± 1.1 µm/week in diabetic patients with neuropathy, 19.7 ± 13.3µm/week in diabetic patients without neuropathy, and 24.4 ± 9.8µm/week in control subjects; however, these differences were not significantly different (p = 0.543). Conclusions Our data demonstrate that it is possible to capture wide-field images of the corneal nerve plexus, and to quantify the rate of corneal nerve migration by repeating this procedure over a number of weeks. Further studies on larger sample sizes are required to determine the utility of this approach for the diagnosis and monitoring of diabetic neuropathy.
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This text is designed to implement the Threshold Learning Outcomes (TLOs) for law in the first year, and to incorporate Sally Kift’s First Year Curriculum principles: http://tls.vu.edu.au/portal/site/trans/Resources/KiftTransitonPedagogySixPrinciples_16Nov09.pdf This is a learning-centered text book intentionally designed for first year students and written by experts in legal education and the first year experience. It is written in a tone and style that engages and communicates effectively with first year law students, without compromising its rigour. It provides students with opportunities to contextualise and make sense of their learning by connecting that learning with what they already know, and with current contemporary issues and affairs. This work is designed to ease students through the transition from a diverse variety of backgrounds (such as high school, work or other disciplines) to the first year of law. It provides practical guidance about adjusting to law school and to university. Students are asked to regularly reflect upon why they are studying law. The book also prepares law students for success in their latter year studies in law by ensuring that they are equipped with the necessary threshold concepts and foundational skills to do well: for example, research skills (particularly, online research skills), reasoning skills, written communication skills, negotiation skills, and self-management skills. A range of practical tips on studying law are provided throughout the book. The work also asks students to engage with developing an emergent sense of professional identity – including what it means to ‘think like a lawyer’. In supporting the students to engage with the concept of professional identity, the work begins a process of preparing students for transition from law school to legal practice. This is achieved by providing explanations of how the material being presented relates to the practice of law, as well as practical information relating to employability skills as a new graduate. This work has a number of learning and teaching objectives to enhance the quality of student learning in their first year of law by engaging, motivating and supporting that learning. First, the work is designed to engage first year students with their legal education and with a future sense of professional identity. It does this through its: • Dynamic writing style • Engaging format • Inclusion of contemporary issues and events • Flowcharts, checklists, mind-maps, tables and timelines • Inclusion of real-world problems and dilemmas. Second, the text motivates student learning by promoting active learning. It does this by: • Demonstrating, and asking students to practice, what they need to do – that is, the work is not simply focussed on telling students what they need to know • Including regular self-directed learning exercises throughout each chapter, such as practical exercises for the development of important foundational legal skills • Including exercises that promote student collaboration, and that require students to apply their learning to practical situations, and • Incorporating a range of interesting active thinking points and research activities. Third, the book supports student learning by encouraging reflective learning and independent learning. It does this by including: • Specific content on how to be a reflective practitioner and an independent learner • Exercises that require students to engage in independent learning, particularly in relation to legal research skill development • Exercises requiring students to reflect upon what they have learned, and encouraging students to keep a reflective learning journal • Exercises requiring students to reflect upon their own views and beliefs • Reflection on whether students have achieved the learning objectives articulated at the beginning of the chapter. The work also: • Demonstrates respect for student experiences, views, opinions and values • Acknowledges student diversity • Recognises the importance of being globally minded law students and lawyers • Supports law teachers in using the work in their classrooms through the provision of comprehensive teaching materials.
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Performance psychology has more recently included a focus on applied practice within the performing arts, and specifically the dance industry. Whilst the use of psychology within this field has been occurring for a number of years, it has primarily taken its cues from the area of sport psychology or clinical psychology when dealing with ‘problems’ (e.g. eating disorders). What has been evident with the more recent introduction of positive psychology concepts with this population is the observed responsiveness from dancers towards a strengths-based approach. The aim of the inclusion of these frameworks has been to assist in increasing the empowerment, personal responsibility and effectiveness of the dancers’ psychological preparation and skills in the area of performance – whether on stage or off.
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As organisations increasingly engage in the selection, purchase, and adoption of packaged software products, how these activities are carried out in practice becomes increasingly relevant for researchers and practitioners. Our focus in this paper is to propose a framework for understanding the packaged software selection process. The functionalist literature on this area of study suggests a number of generic recommendations, which are based on rational assumptions about the process and view the decision making that takes place as producing the “best technology solution.’” To explore this, we conducted a longitudinal, in-depth study of packaged software selection in a small organisation. For interpretation of the case, we draw upon the Social Construction of Technology, a theoretical framework arguing that technology is socially constituted and regarding the process of development as contradictory and uncertain. We offer a number of contributions. First, we further our understanding of packaged software selection with the critique that we offer of the functionalist literature, drawing insights from the emerging critical/constructivist literature and expanding our domain of interest to encompass the wider environment. Second, we weave this together with our experiences in the field, drawing on social constructivism for theoretical support, to develop a framework of packaged software selection that shows how various actors shape the process.
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Achieving business and IT integration is strategic goal for many organisations – it has almost become the ‘Holy Grail’ of organisational success. In this environment Enterprise Resource Planning (ERP) packages have become the defacto option for addressing this issue. Integration has come to mean adopting ERP, through configuration and without customization, but this all or nothing approach has proved difficult for many organisations. In part 1 of a 2 part update we provide evidence from the field that suggests that whilst costly, if managed appropriately, customization can have value in aiding organisational integration efforts. In part 2, we discuss in more detail the benefits and pitfalls involved in enacting a non-standard based integration strategy.
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For robots operating in outdoor environments, a number of factors, including weather, time of day, rough terrain, high speeds, and hardware limitations, make performing vision-based simultaneous localization and mapping with current techniques infeasible due to factors such as image blur and/or underexposure, especially on smaller platforms and low-cost hardware. In this paper, we present novel visual place-recognition and odometry techniques that address the challenges posed by low lighting, perceptual change, and low-cost cameras. Our primary contribution is a novel two-step algorithm that combines fast low-resolution whole image matching with a higher-resolution patch-verification step, as well as image saliency methods that simultaneously improve performance and decrease computing time. The algorithms are demonstrated using consumer cameras mounted on a small vehicle in a mixed urban and vegetated environment and a car traversing highway and suburban streets, at different times of day and night and in various weather conditions. The algorithms achieve reliable mapping over the course of a day, both when incrementally incorporating new visual scenes from different times of day into an existing map, and when using a static map comprising visual scenes captured at only one point in time. Using the two-step place-recognition process, we demonstrate for the first time single-image, error-free place recognition at recall rates above 50% across a day-night dataset without prior training or utilization of image sequences. This place-recognition performance enables topologically correct mapping across day-night cycles.
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The mining industry is highly suitable for the application of robotics and automation technology, since the work is arduous, dangerous, and often repetitive. This paper presents a broad overview of the issues involved in the development of a physically large and complex field robotic system—a 3500-tonne mining machine (dragline). Draglines are “walking cranes” used in open-pit coal mining to remove the material covering a coal seam. The critical issues of robust load position sensing, modeling of the dynamics of the electrical drive system and the swinging load, control strategies, the operator interface, and automation system architecture are addressed. An important aspect of this system is that it must work cooperatively with a human operator, seamlessly passing control back and forth in order to achieve the main aim—increased productivity.
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Aim A recent Monte Carlo based study has shown that it is possible to design a diode that measures small field output factors equivalent to that in water. This is accomplished by placing an appropriate sized air gap above the silicon chip (1) with experimental results subsequently confirming that a particular Monte Carlo design was accurate (2). The aim of this work was to test if a new correction-less diode could be designed using an entirely experimental methodology. Method: All measurements were performed on a Varian iX at a depth of 5 cm, SSD of 95 cm and field sizes of 5, 6, 8, 10, 20 and 30 mm. Firstly, the experimental transfer of kq,clin,kq,msr from a commonly used diode detector (IBA, stereotactic field diode (SFD)) to another diode detector (Sun Nuclear, unshielded diode, (EDGEe)) was tested. These results were compared to Monte Carlo calculated values of the EDGEe. Secondly, the air gap above the EDGEe silicon chip was optimised empirically. Nine different air gap “tops” were placed above the EDGEe (air depth = 0.3, 0.6, 0.9 mm; air width = 3.06, 4.59, 6.13 mm). The sensitivity of the EDGEe was plotted as a function of air gap thickness for the field sizes measured. Results: The transfer of kq,clin,kq,msr from the SFD to the EDGEe was correct to within the simulation and measurement uncertainties. The EDGEe detector can be made “correction-less” for field sizes of 5 and 6 mm, but was ∼2% from being “correction-less” at field sizes of 8 and 10 mm. Conclusion Different materials will perturb small fields in different ways. A detector is only “correction-less” if all these perturbations happen to cancel out. Designing a “correction-less” diode is a complicated process, thus it is reasonable to expect that Monte Carlo simulations should play an important role.
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Published information on the incidence of pathogens in the field and laboratory infections of Hypsipyla spp. with entomopathogens is reviewed. In addition, some preliminary results of field collections from Ghana and Costa Rica are presented. Fungal pathogens from the Deuteromycetes have been isolated from both H. robusta Moore and H. grandella Zeller. Mermithid nematodes, Hexamermis spp., have been frequently isolated from larvae in the field and incidence of infection with these pathogens can reach significant levels. Microsporidia have been found in cadavers of larvae collected in the field but none have been identified so far. A number of pathogens of other Lepidoptera have been shown to be infectious to H. grandella , including Bacillus thuringiensis , Deuteromycete fungi and a nucleopolyhedrovirus (NPV) from Autographa californica . Hypsipyla spp. are difficult targets for microbial control, since the larvae are cryptic, occur at low density and occur sporadically. In addition, there is a low damage threshold, the plant is susceptible for a number of years and the susceptible part of the plant will rapidly outgrow any surface application. Key features of the biology of entomopathogens with relevance to the control of low density and cryptic pests are discussed. In the light of this experience, we discuss strategies to improve the possibilities of microbial control of this pest and suggest areas for research.
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A field oriented control (FOC) algorithm is simulated and implemented for use with a permanent magnet synchronous motor (PMSM). Rotor position is sensed using Hall effect switches on the stator because other hardware position sensors attached to the rotor may not be desirable or cost effective for certain applications. This places a limit on the resolution of position sensing – only a few Hall effect switches can be placed. In this simulation, three sensors are used and the position information is obtained at higher resolution by estimating it from the rotor dynamics, as shown in literature previously. This study compares the performance of the method with an incremental encoder using simulations. The FOC algorithm is implemented using Digital Motor Control (DMC) and IQ Texas Instruments libraries from a Simulink toolbox called Embedded Coder, and downloaded into a TI microcontroller (TMS320F28335) known as the Piccolo via Code Composer Studio (CCS).
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Argentine singer-songwriter Juana Molina is one of those fearless artists. The kind of fearless artist who abandons a successful TV show at the height of its popularity to pursue a solo career in making and performing slightly left-field South American folk-tinged electronica...
Acceptability-based QoE management for user-centric mobile video delivery : a field study evaluation
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Effective Quality of Experience (QoE) management for mobile video delivery – to optimize overall user experience while adapting to heterogeneous use contexts – is still a big challenge to date. This paper proposes a mobile video delivery system to emphasize the use of acceptability as the main indicator of QoE to manage the end-to-end factors in delivering mobile video services. The first contribution is a novel framework for user-centric mobile video system that is based on acceptability-based QoE (A-QoE) prediction models, which were derived from comprehensive subjective studies. The second contribution is results from a field study that evaluates the user experience of the proposed system during realistic usage circumstances, addressing the impacts of perceived video quality, loading speed, interest in content, viewing locations, network bandwidth, display devices, and different video coding approaches, including region-of-interest (ROI) enhancement and center zooming