51 resultados para Media Arts Research Studies


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The Belfast Soundwalks project, led by Professor Pedro Rebelo and co-ordinated by Dr Sarah Bass (Sonic Arts Research Centre) in collaboration with Belfast City Council (BCC), aims to use sonic art to engage the public through the development of a locative mobile phone app. Targeting both tourists and citizens of the city, this project aims to sonically enhance the experience of a number of areas of the city, including destinations that may not traditionally be accessed as attractions by visitors and/or disregarded or undervalued by local residents. The project will bring together a number of sonic artists/composers who will create approximately ten soundwalks around the city, while liaising with BCC to distribute the resulting app to the public in line with their tourism and cultural strategy. The project is centred on the development of smart phone apps which provide unique listening experiences associated with key places in the city. The user’s location in the city is tracked through GPS which triggers sound materials ranging from speech to environmental sound and abstract imagined sound worlds. Additionally, local community groups will be consulted in order to evaluate and reflect upon the effectiveness of the soundwalks.

The project builds on the success of the Literary Belfast app and aims to further strengthen links between Queen’s University Belfast and Belfast City Council through facilitating the dissemination of an art form not widely experienced by the general public. Through the newly created Institute for Collaborative Research in the Humanities, directed by Professor John Thompson we are articulating this project with Queen’s consortium partners, Newcastle University and Durham University.

“The Arts and Humanities Research Council (AHRC) funds world-class, independent researchers in a wide range of subjects: ancient history, modern dance, archaeology, digital content, philosophy, English literature, design, the creative and performing arts, and much more. This financial year the AHRC will spend approximately £98m to fund research and postgraduate training in collaboration with a number of partners. The quality and range of research supported by this investment of public funds not only provides social and cultural benefits but also contributes to the economic success of the UK. For further information on the AHRC, please go to: www.ahrc.ac.uk”.

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In May 2014, the participative Project Som da Maré brings together the creative energy of a group of inhabitants from a cluster of favelas in Maré (Rio de Janeiro)* through the sonic arts. The work recalls everyday experiences, memories, stories and places. These memories elicit narratives that leave traces in space while contributing to the workings of local cultural.

The result of four months of workshops and fieldwork forms the basis of two cultural interventions: an exhibition in Museu da Maré** and guided soundwalks in the city of Rio de Janeiro. These interventions present realities, histories and ambitions of everyday life in the Maré favelas through immersive sound installation, documentary photography, text and objects.

Som da Maré brings together various groups of participants who together have developed themes, materials and strategies for the articulation of elements of everyday life in Maré. Participants include secondary level students under the Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) “Young Talent” scholarships and their families, post-graduate students at the Universidade Federal do Rio de Janeiro (UFRJ), PhD students from the Sonic Arts Research Centre (Queen’s University Belfast) and members of the Cia Marginal, a theatre company based in Maré. The project also counts with the participation of academics from music, ethnomusicology, visual art and architecture at the UFRJ and a partnership with the Museu da Maré. Over thirty people have come together to make this project possible.

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Bridge construction responds to the need for environmentally friendly design of motorways and facilitates the passage through sensitive natural areas and the bypassing of urban areas. However, according to numerous research studies, bridge construction presents substantial budget overruns. Therefore, it is necessary early in the planning process for the decision makers to have reliable estimates of the final cost based on previously constructed projects. At the same time, the current European financial crisis reduces the available capital for investments and financial institutions are even less willing to finance transportation infrastructure. Consequently, it is even more necessary today to estimate the budget of high-cost construction projects -such as road bridges- with reasonable accuracy, in order for the state funds to be invested with lower risk and the projects to be designed with the highest possible efficiency. In this paper, a Bill-of-Quantities (BoQ) estimation tool for road bridges is developed in order to support the decisions made at the preliminary planning and design stages of highways. Specifically, a Feed-Forward Artificial Neural Network (ANN) with a hidden layer of 10 neurons is trained to predict the superstructure material quantities (concrete, pre-stressed steel and reinforcing steel) using the width of the deck, the adjusted length of span or cantilever and the type of the bridge as input variables. The training dataset includes actual data from 68 recently constructed concrete motorway bridges in Greece. According to the relevant metrics, the developed model captures very well the complex interrelations in the dataset and demonstrates strong generalisation capability. Furthermore, it outperforms the linear regression models developed for the same dataset. Therefore, the proposed cost estimation model stands as a useful and reliable tool for the construction industry as it enables planners to reach informed decisions for technical and economic planning of concrete bridge projects from their early implementation stages.

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Aim:
To demonstrate how systematic reviews provide robust evidence to inform clinical decision making in practice.

Background
Systematic reviews collate findings from a number of research studies in order to provide a comprehensive and reliable summary of the best available evidence. The use of systematic reviews to inform practice based decisions has increased as a result of the overwhelming amount of research literature available, poor quality of research evidence and the need to ensure practice is based upon the best available evidence. Systematic reviews are an efficient way of coping with large volumes of data to answer focused research questions. They differ from traditional literature reviews as they adhere to an explicit scientific process. The use of explicit and rigorous methods to identify, appraise and synthesise relevant studies minimises bias and provides a reliable basis for decision making. As a result systematic reviews provide clear evidence on the effectiveness of a healthcare intervention to inform policy and decision making across healthcare systems. An example of how the findings from systematic reviews can provide reliable evidence to inform healthcare decisions will be provided in this presentation1. This will demonstrate how focused clinical questions can be answered by systematic reviews and translated into practice.

Reference:
1. McGaughey J, Alderdice F, Fowler R, Kapila A, Moutray M. (2007) Outreach and Early Warning Systems (EWS) for the prevention of Intensive Care admission admission and death of critically ill adult patients on general hospital wards (REVIEW). The Cochrane Database of Systematic Reviews 3. art no CD005529

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Approaches to the management of patients with cancer have been revolutionised by the ability to examine tumours at a genetic and molecular level and tailor treatments accordingly. Underpinning this work is the need for large numbers of high-quality human biospecimens for use in translational research studies to identify new biomarkers for the prediction, diagnosis and treatment of cancer. Biobanking has subsequently emerged as a dedicated activity to provide the infrastructure required for the standardised collection, storage and distribution of high quality human biospecimens for research purposes. This article provides an overview of the role of biobanks and the vital contribution they make to the delivery of cancer care for patients now and in the future


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Background
Behaviour problems are common in young children with autism spectrum disorder (ASD). There are many different tools used to measure behavior problems but little is known about their validity for the population.

Objectives
To evaluate the measurement properties of behaviour problems tools used in evaluation of intervention or observational research studies with children with ASD up to the age of six years.

Methods
Behaviour measurement tools were identified as part of a larger, two stage, systematic review. First, sixteen major electronic databases, as well as grey literature and research registers were searched, and tools used listed and categorized. Second, using methodological filters, we searched for articles examining the measurement properties of the tools in use with young children with ASD in ERIC, MEDLINE, EMBASE, CINAHL, and PsycINFO. The quality of these papers was then evaluated using the COSMIN checklist.

Results
We identified twelve tools which had been used to measure behaviour problems in young children with ASD, and fifteen studies which investigated the measurement properties of six of these tools. There was no evidence available for the remaining six tools. Two questionnaires were found to be the most robust in their measurement properties, the Child Behavior Checklist and the Home Situations Questionnaire—Pervasive Developmental Disorders version.

Conclusions
We found patchy evidence on reliability and validity, for only a few of the tools used to measure behaviour problems in young children with ASD. More systematic research is required on measurement properties of tools for use in this population, in particular to establish responsiveness to change which is essential in measurement of outcomes of intervention.

PROSPERO Registration Number

CRD42012002223