985 resultados para Machine-shop practice.


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Reflective writing is an important learning task to help foster reflective practice, but even when assessed it is rarely analysed or critically reviewed due to its subjective and affective nature. We propose a process for capturing subjective and affective analytics based on the identification and recontextualisation of anomalous features within reflective text. We evaluate 2 human supervised trials of the process, and so demonstrate the potential for an automated Anomaly Recontextualisation process for Learning Analytics.

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This chapter discusses research undertaken for a PhD in dance, highlighting the oscillating and ambivalent nature of practice-led research methods. Holding an unusual position within the field of practice-led research in dance, the researcher adopted the role of dancer within four creative processes led by four choreographers. Although instigating and leading this research, the author produced new knowledge of dancing practices whilst being directed creatively by the choreographers in the research environment. In line with many definitions of practice-led research, the methods used were emergent from the research arena and responsive to the requirements of the project. Deeply imbricated in the research environment, the researcher used her embodied self as a research tool, as the one who participated, discovered and recorded. This outsider/insider role of researcher/participant produced a series of meta-positions, leading to a mixed-modal outcome that encompassed live performance, a movement treatise and a written thesis.

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This paper reports on the views of Singaporean teachers of a mandated curriculum innovation aimed at changing the nature of games pedagogy within the physical education curriculum framework in Singapore. Since its first appearance over 20 years ago, Teaching Games for Understanding (TGfU), as an approach to games pedagogy has gathered support around the world. Through a process of evolution TGfU now has many guises and one of the latest of these is the Games Concept Approach (GCA) a name given to this pedagogical approach in Singapore. As part of a major national curricular reform project the GCA was identified as the preferred method of games teaching and as a result was mandated as required professional practice within physical education teaching. To prepare teachers for the implementation phase, a training program was developed by the National Institute of Education in conjunction with the Ministry of Education and well known experts in the field from the United States. For this part of the study, 22 teachers from across Singapore were interviewed. The data were used to create three fictional narratives, a process described by Sparkes (2002a) and used more recently by Ryan (2005) in the field of literacy. The stories were framed using Foucault’s (1980/1977) notion of governmentality and Bernstein’s (1996) notion of regulative discourse. The narratives reveal tales of confusion, frustration but also of hope and enthusiasm.

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In this chapter, I consider the efficacy of creative practice as a research method, concentrating specifically on its applications in the performing arts, using one of my own recent projects, The Ex/centric Fixations Project (2009), as an example.

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The “Guiding Principles on Business and Human Rights: Implementing the United Nations ‘Protect, Respect and Remedy Framework’” (the Guiding Principles), endorsed by The United Nations Human Rights Council on 16 June 2011, outline obligations for nation states that currently exist under international law and provide the first authoritative reference point for corporations’ human rights responsibilities. Of the 30 principles endorsed, half relate directly to business. The Guiding Principles have far-reaching implications for all businesses, both small and large, and represent one of the most significant developments in corporate governance this century. In response to a recognition of the potential impacts of the Guiding Principles on corporate governance, the Institute of Chartered Accountants in Australia provided La Trobe Business School with grant funding to undertake groundbreaking research on the implications of the Guiding Principles for management and accounting systems within corporate Australia. This report represents the outcome of the study.

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Purpose Many haematological cancer survivors report long-term physiological and psychosocial effects, which persist far beyond treatment completion. Cancer services have been required to extend care to the post-treatment phase to implement survivorship care strategies into routine practice. As key members of the multidisciplinary team, cancer nurses’ perspectives are essential to inform future developments in survivorship care provision. Methods This is a pilot survey study, involving 119 nurses caring for patients with haematological malignancy in an Australian tertiary cancer care centre. The participants completed an investigator developed survey designed to assess cancer care nurses’ perspectives on their attitudes, confidence levels, and practice in relation to post-treatment survivorship care for patients with a haematological malignancy. Results Overall, the majority of participants agreed that all of the survivorship interventions included in the survey should be within the scope of the nursing role. Nurses reported being least confident in discussing fertility and employment/financial issues with patients and conducting psychosocial distress screening. The interventions performed least often included, discussing fertility, intimacy and sexuality issues and communicating survivorship care with the patient’s primary health care providers. Nurses identified lack of time, limited educational resources, lack of dedicated end-of-treatment consultation and insufficient skills/knowledge as the key barriers to survivorship care provision. Conclusion Cancer centres should implement an appropriate model of survivorship care and provide improved training and educational resources for nurses to enable them to deliver quality survivorship care and meet the needs of haematological cancer survivors.

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Strategic Renewal has been the subject of research in large organisations but has received relatively little attention in small and medium enterprises. Using case study examples of small and medium manufacturing firms, this paper presents the findings from a longitudinal action research project where participating companies explored design led innovation processes to find new ways to renew their businesses. Specifically our findings indicate that when designers act as innovation catalysts in embedded longitudinal action research, SMEs engage in strategic renewal, gain a deeper appreciation of their customers, become more aware of the value proposition of the company and engage in new practices to improve their competitive advantage.

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The philosophical promise of community development to “resource and empower people so that they can collectively control their own destinies” (Kenny 1996:104) is no doubt alluring to Indigenous Australia. Given the historical and contemporary experiences of colonial control and surveillance of Aboriginal bodies, alongside the continuing experiences of socio-economic disadvantage, community development reaffirms the aspirational goal of Indigenous Australians for self-determination. Self-determination as a national policy agenda for Indigenous Australians emerged in the 1970s and saw the establishment of a wide range of Aboriginal community-controlled services (Tsey et al 2012). Sullivan (2010:4) argues that the Aboriginal community controlled service sector during this time has, and continues to be, instrumental to advancing the plight of Indigenous Australians both materially and politically. Yet community development and self-determination remain highly problematic and contested in how they manifest in Indigenous social policy agendas and in practice (Hollinsworth 1996; Martin 2003; McCausland 2005; Moreton-Robinson 2009). Moreton-Robinson (2009:68) argues that a central theme underpinning these tensions is a reading of Indigeneity in which Aboriginal and Torres Strait Islander people, behaviours, cultures, and communities are pathologised as “dysfunctional” thus enabling assertions that Indigenous people are incapable of managing their own affairs. This discourse distracts us from the “strategies and tactics of patriarchal white sovereignty” that inhibit the “state’s earlier policy of self-determination” (Moreton-Robinson 2009:68). We acknowledge the irony of community development espoused by Ramirez above (1990), that the least resourced are expected to be most resourceful.; however, we wish to interrogate the processes that inhibit Indigenous participation and control of our own affairs rather than further interrogate Aboriginal minds as uneducated, incapable and/or impaired...

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Aboriginal and Torres Strait Islander health workers' roles have changed over the years as the profession has shifted far beyond the mere provision of a cultural brokerage service. Important achievements have been made in enhancing the biomedical role of the Aboriginal and Torres Strait health worker, even though this is not the only area of expertise they need to possess.

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The commercialization of aerial image processing is highly dependent on the platforms such as UAVs (Unmanned Aerial Vehicles). However, the lack of an automated UAV forced landing site detection system has been identified as one of the main impediments to allow UAV flight over populated areas in civilian airspace. This article proposes a UAV forced landing site detection system that is based on machine learning approaches including the Gaussian Mixture Model and the Support Vector Machine. A range of learning parameters are analysed including the number of Guassian mixtures, support vector kernels including linear, radial basis function Kernel (RBF) and polynormial kernel (poly), and the order of RBF kernel and polynormial kernel. Moreover, a modified footprint operator is employed during feature extraction to better describe the geometric characteristics of the local area surrounding a pixel. The performance of the presented system is compared to a baseline UAV forced landing site detection system which uses edge features and an Artificial Neural Network (ANN) region type classifier. Experiments conducted on aerial image datasets captured over typical urban environments reveal improved landing site detection can be achieved with an SVM classifier with an RBF kernel using a combination of colour and texture features. Compared to the baseline system, the proposed system provides significant improvement in term of the chance to detect a safe landing area, and the performance is more stable than the baseline in the presence of changes to the UAV altitude.

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Objective To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data. Design Systematic review. Data sources The electronic databases which were searched included PubMed, Cinahl, Medline, Google Scholar, and Proquest. The bibliography of all relevant articles was examined and associated articles were identified using a snowballing technique. Selection criteria For inclusion, articles were required to meet the following criteria: (a) used a health-related database, (b) focused on injury-related cases, AND used machine learning approaches to analyse textual data. Methods The papers identified through the search were screened resulting in 16 papers selected for review. Articles were reviewed to describe the databases and methodology used, the strength and limitations of different techniques, and quality assurance approaches used. Due to heterogeneity between studies meta-analysis was not performed. Results Occupational injuries were the focus of half of the machine learning studies and the most common methods described were Bayesian probability or Bayesian network based methods to either predict injury categories or extract common injury scenarios. Models were evaluated through either comparison with gold standard data or content expert evaluation or statistical measures of quality. Machine learning was found to provide high precision and accuracy when predicting a small number of categories, was valuable for visualisation of injury patterns and prediction of future outcomes. However, difficulties related to generalizability, source data quality, complexity of models and integration of content and technical knowledge were discussed. Conclusions The use of narrative text for injury surveillance has grown in popularity, complexity and quality over recent years. With advances in data mining techniques, increased capacity for analysis of large databases, and involvement of computer scientists in the injury prevention field, along with more comprehensive use and description of quality assurance methods in text mining approaches, it is likely that we will see a continued growth and advancement in knowledge of text mining in the injury field.

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Strengths-based approaches draw upon frameworks and perspectives from social work and psychology but have not necessarily been consistently defined or well articulated across disciplines. Internationally, there are increasing calls for professionals in early years settings to work in strengths-based ways to support the access and participation of all children and families, especially those with complex needs. The purpose of this paper is to examine a potential promise of innovative uses of strengths-based approaches in early years practice and research in Australia, and to consider implications for application in other national contexts. In this paper, we present three cases (summarised from larger studies) depicting different applications of the Strengths Approach, under pinned by collaborative inquiry at the interface between practice and research. Analysis revealed three key themes across the cases: (i) enactment of strengths-based principles, (ii) the bi-directional and transformational influences of the Strengths Approach (research into practice/practice into research), and (iii) heightened practitioner and researcher awareness of, and responsiveness to, the operation of power. The findings highlight synergies and challenges to constructing and actualising strengths-based approaches in early years childhood research and practice. The case studies demonstrate that although constructions of what constitutes strengths-based research and practice requires ongoing critical engagement, redefining, and operationalising, using strengths-based approaches in early years settings can be generative and worthwhile.

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The United Nations Convention on the Rights of the Child provides a significant platform to include children’s views on issues that affect their lives, yet, in many contexts, particularly in educational practice, children’s perspectives continue to be irregularly sought and are rarely acted upon. By providing children’s perspectives on what they would like adults to know, this article explores a unique view of childhood and the interactions with family, community, educational experiences and well-being. The children’s insights about their worlds that they feel adults are missing potentiate the development and incorporation of voice-inclusive practice. While the sense that each child makes of their Lebenswelt – the ‘ingredients’ – is idiosyncratic and will be influenced by many factors, including peers, teachers, parents, other adults and the media, it is the nature of this personal understanding that is poorly understood, and consequently ignored by adults. By exploring the commentary of more than 1000 children across five countries – Australia, England, New Zealand, Italy and Sweden – this research reveals an overwhelming collection of what the authors describe as ‘comments that rhyme’ in terms of the identification of expressed sentiment and thematic representations of their perspectives.

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Aim: In 2013 QUT introduced the Medical Imaging Training Immersive Environment (MITIE) as a virtual reality (VR) platform that allowed students to practice general radiography. The system software has been expanded to now include C-Arm. The aim of this project was to investigate the use of this technology in the pedagogy of undergraduate medical imaging students who have limited to no experience in the use of the C-Arm clinically. Method: The Medical Imaging Training Immersive Environment (MITIE) application provides students with realistic and fully interactive 3D models of C-Arm equipment. As with VR initiatives in other health disciplines (1–2) the software mimics clinical practice as much as possible and uses 3D technology to enhance 3D spatial awareness and realism. The application allows students to set up and expose a virtual patient in a 3D environment as well as creating the resultant “image” for comparison with a gold standard. Automated feedback highlights ways for the student to improve their patient positioning, equipment setup or exposure factors. The students' equipment knowledge was tested using an on line assessment quiz and surveys provided information on the students' pre-clinical confidence scale, with post-clinical data comparisons. Ethical approval for the project was provided by the university ethics panel. Results: This study is currently under way and this paper will present analysis of initial student feedback relating to the perceived value of the application for confidence in a high risk environment (i.e. operating theatre) and related clinical skills development. Further in-depth evaluation is ongoing with full results to be presented. Conclusion: MITIE C-Arm has a development role to play in the pre-clinical skills training for Medical Radiation Science students. It will augment their theoretical understanding prior to their clinical experience. References 1. Bridge P, Appleyard R, Ward J, Phillips R, Beavis A. The development and evaluation of a virtual radiotherapy treatment machine using an immersive visualisation environment. Computers and Education 2007; 49(2): 481–494. 2. Gunn T, Berry C, Bridge P et al. 3D Virtual Radiography: Development and Initial Feedback. Paper presented at the 10th Annual Scientific Meeting of Medical Imaging and Radiation Therapy, March 2013 Hobart, Tasmania.

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This thesis is concerned with the detection and prediction of rain in environmental recordings using different machine learning algorithms. The results obtained in this research will help ecologists to efficiently analyse environmental data and monitor biodiversity.