512 resultados para Translation studies


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This research paper examines the potential of neighbourhood centres to generate and enhance social capital through their programs, activities, membership associations and community engagement. Social capital is a complex concept involving elements of norms, networks, and trust and is generally seen as enhancing community cohesion and the ability to attain common goals (outlined in more detail in Section 3). The aim of this research project is to describe the nature of social capital formation in terms of development and change in norms, networks and trust within the context of the operations of neighbourhood centres in three Queensland locations (i.e., Sherwood, Kingston/Slacks Creek, and Maleny). The study was prompted by surprisingly little research into how neighbourhood centres and their clients contribute to the development of social capital. Considering the large volume of research on the role of community organisations in building social capital, it is remarkable that perhaps the most obvious organisation with 'social capitalist' intentions has received so little attention (apart from Bullen and Onyx, 2005). Indeed, ostensibly, neighbourhood centres are all about social capital.

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There is a growing awareness worldwide of the significance of social media to communication in times of both natural and human-created disasters and crises. While the media have long been used as a means of broadcasting messages to communities in times of crisis – bushfires, floods, earthquakes etc. – the significance of social media in enabling many-to-many communication through ubiquitous networked computing and mobile media devices is becoming increasingly important in the fields of disaster and emergency management. This paper undertakes an analysis of the uses made of social media during two recent natural disasters: the January 2011 floods in Brisbane and South-East Queensland in Australia, and the February 2011 earthquake in Christchurch, New Zealand. It is part of a wider project being undertaken by a research team based at the Queensland University of Technology in Brisbane, Australia, that is working with the Queensland Department of Community Safety (DCS) and the EIDOS Institute, and funded by the Australian Research Council (ARC) through its Linkages program. The project combines large-scale, quantitative social media tracking and analysis techniques with qualitative cultural analysis of communication efforts by citizens and officials, to enable both emergency management authorities and news media organisations to develop, implement, and evaluate new social media strategies for emergency communication.

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As of June 2009, 361 genome-wide association studies (GWAS) had been referenced by the HuGE database. GWAS require DNA from many thousands of individuals, relying on suitable DNA collections. We recently performed a multiple sclerosis (MS) GWAS where a substantial component of the cases (24%) had DNA derived from saliva. Genotyping was done on the Illumina genotyping platform using the Infinium Hap370CNV DUO microarray. Additionally, we genotyped 10 individuals in duplicate using both saliva- and blood-derived DNA. The performance of blood- versus saliva-derived DNA was compared using genotyping call rate, which reflects both the quantity and quality of genotyping per sample and the “GCScore,” an Illumina genotyping quality score, which is a measure of DNA quality. We also compared genotype calls and GCScores for the 10 sample pairs. Call rates were assessed for each sample individually. For the GWAS samples, we compared data according to source of DNA and center of origin. We observed high concordance in genotyping quality and quantity between the paired samples and minimal loss of quality and quantity of DNA in the saliva samples in the large GWAS sample, with the blood samples showing greater variation between centers of origin. This large data set highlights the usefulness of saliva DNA for genotyping, especially in high-density single-nucleotide polymorphism microarray studies such as GWAS.

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We conducted on-road and simulator studies to explore the mechanisms underpinning driver-rider crashes. In Study 1 the verbal protocols of 40 drivers and riders were assessed at intersections as part of a 15km on-road route in Melbourne. Network analysis of the verbal transcripts highlighted key differences in the situation awareness of drivers and riders at intersections. In a further study using a driving simulator we examined in car drivers the influence of acute exposure to motorcyclists. In a 15 min simulated drive, 40 drivers saw either no motorcycles or a high number of motorcycles in the surrounding traffic. In a subsequent 45-60 min drive, drivers were asked to detect motorcycles in traffic. The proportion of motorcycles was manipulated so that there was either a high (120) or low (6) number of motorcycles during the drive. Those drivers exposed to a high number of motorcycles were significantly faster at detecting motorcycles. Fundamentally, the incompatible situation awareness at intersections by drivers and riders underpins the conflicts. Study 2 offers some suggestion for a countermeasure here, although more research around schema and exposure training to support safer interactions is needed.

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The candidate gene approach has been a pioneer in the field of genetic epidemiology, identifying risk alleles and their association with clinical traits. With the advent of rapidly changing technology, there has been an explosion of in silico tools available to researchers, giving them fast, efficient resources and reliable strategies important to find casual gene variants for candidate or genome wide association studies (GWAS). In this review, following a description of candidate gene prioritisation, we summarise the approaches to single nucleotide polymorphism (SNP) prioritisation and discuss the tools available to assess functional relevance of the risk variant with consideration to its genomic location. The strategy and the tools discussed are applicable to any study investigating genetic risk factors associated with a particular disease. Some of the tools are also applicable for the functional validation of variants relevant to the era of GWAS and next generation sequencing (NGS).

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In the sugar industry, processing juice derived from the whole sugar cane plant adversely affects the yield and quality of the product sugar. Dr Thai investigated the aggregation behaviour of sugar cane juice particles and developed strategies to improve the removal of non-sucrose impurities.

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Y123 samples with varying amounts of added Y211, PtO 2 and CeO 2 have been melt processed and quenched from temperatures between 960°C and 1100°C. The microstructures of the quenched samples have been characterized using a combination of x-ray diffractometry, optical microscopy, scanning electron microscopy, microprobe analysis, energy-dispersive x-ray spectroscopy and wavelength-dispersive x-ray spectroscopy. The Ba-Cu-O-rich melt undergoes complex changes as a function of temperature and time. A region of stability of BaCuO 2 (BC1) and BaCu 2O 2 (BC2) exists below 1040°C in samples of Y123 + 20 mol% Y211. Ba 2Cu 3O 5 is stabilized by rapid quenching but appears to separate into BC1 and BC2 at lower quenching rates. PtO 2 and CeO 2 additions affect the distribution and volume fractions of the two Ba-Cu-oxide phases.

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Utility functions in Bayesian experimental design are usually based on the posterior distribution. When the posterior is found by simulation, it must be sampled from for each future data set drawn from the prior predictive distribution. Many thousands of posterior distributions are often required. A popular technique in the Bayesian experimental design literature to rapidly obtain samples from the posterior is importance sampling, using the prior as the importance distribution. However, importance sampling will tend to break down if there is a reasonable number of experimental observations and/or the model parameter is high dimensional. In this paper we explore the use of Laplace approximations in the design setting to overcome this drawback. Furthermore, we consider using the Laplace approximation to form the importance distribution to obtain a more efficient importance distribution than the prior. The methodology is motivated by a pharmacokinetic study which investigates the effect of extracorporeal membrane oxygenation on the pharmacokinetics of antibiotics in sheep. The design problem is to find 10 near optimal plasma sampling times which produce precise estimates of pharmacokinetic model parameters/measures of interest. We consider several different utility functions of interest in these studies, which involve the posterior distribution of parameter functions.

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An analytical evaluation of the higher ac harmonic components derived from large amplitude Fourier transformed voltammetry is provided for the reversible oxidation of ferrocenemethanol (FcMeOH) and oxidation of uric acid by an EEC mechanism in a pH 7.4 phosphate buffer at a glassy carbon (GC) electrode. The small background current in the analytically optimal fifth harmonic is predominantly attributed to faradaic current associated with the presence of electroactive functional groups on the GC electrode surface, rather than to capacitive current which dominates the background in the dc, and the initial three ac harmonics. The detection limits for the dc and the first to fifth harmonic ac components are 1.9, 5.89, 2.1, 2.5, 0.8, and 0.5 µM for FcMeOH, respectively, using a sine wave modulation of 100 mV at 21.46 Hz and a dc sweep rate of 111.76 mV s−1. Analytical performance then progressively deteriorates in the sixth and higher harmonics. For the determination of uric acid, the capacitive background current was enhanced and the reproducibility lowered by the presence of surface active uric acid, but the rapid overall 2e− rather than 1e– electron transfer process gives rise to a significantly enhanced fifth harmonic faradaic current which enabled a detection limit of 0.3 µM to be achieved which is similar to that reported using chemically modified electrodes. Resolution of overlapping voltammetric signals for a mixture of uric acid and dopamine is also achieved using higher fourth or fifth harmonic components, under very low background current conditions. The use of higher fourth and fifth harmonics exhibiting highly favorable faradaic to background (noise) current ratios should therefore be considered in analytical applications under circumstances where the electron transfer rate is fast.

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This paper presents the details of an experimental study of a cold-formed steel hollow flange channel beam known as LiteSteel Beam (LSB) subject to combined bending and shear actions. The LSB sections are produced by a patented manufacturing process involving simultaneous cold-forming and electric resistance welding. Due to the geometry of the LSB, as well as its unique residual stress characteristics and initial geometric imperfections resultant of manufacturing processes, much of the existing research for common cold-formed steel sections is not directly applicable to LSB. Experimental and numerical studies have been carried out to evaluate the behaviour and design of LSBs subject to pure bending actions and predominant shear actions. To date, however, no investigation has been conducted into the strength of LSB sections under combined bending and shear actions. Combined bending and shear is especially prevalent at the supports of continuous span and cantilever beams, where the interaction of high shear force and bending moment can reduce the capacity of a section to well below that for the same section subject only to pure shear or moment. Hence experimental studies were conducted to assess the combined bending and shear behaviour and strengths of LSBs. Eighteen tests were conducted and the results were compared with current AS/NZS 4600 and AS 4100 design rules. AS/NZS 4600 design rules were shown to grossly underestimate the combined bending and shear capacities of LSBs and hence two lower bound design equations were proposed based on experimental results. Use of these equations will significantly improve the confidence and cost-effectiveness of designing LSBs for combined bending and shear actions.

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In Australia, the proportion of the population aged 65 years and over reached 13.5% in 2010 and is expected to increase steadily to around 20% by the year 2056 [Australia Bureau of Statistics (ABS), 2010], creating what has been regarded as a looming crisis in how to house and care for older people. As a viable accommodation option, the retirement village is widely accepted as a means of promoting and enhancing independence, choice and quality of life for older people. Recent research by Barker (2010) indicates that the current and potential residents of retirement villages are generally very conscious of resource consumption and would like their residences and community to be more sustainable. The aim of this study was to understand the perception of older people toward sustainability ideas and identify the sustainable practices involved in retirement villages to improve the wellbeing of residents. Multiple research methods, including content analysis, questionnaire survey, interviews and case studies were conducted for the research purpose. The results indicate that most retirement village residents understand and recognize the importance of sustainability in their lifestyle. However, their sustainability requirements need to be supported and enhanced by the provision of affordable sustainability features. Additionally, many retirement village developers and operators realize the importance of providing a sustainable retirement community for their residents, and that a sustainable retirement village (that is environmental-friendly, affordable, and improves social engagement) can be achieved through the consideration of project planning, design, construction, and operations throughout the project life cycle. The clear shift from healthcare to lifestyle-focused services in the recent development of retirement villages together with the increasing number of aged people moving into retirement villages (Simpson and Cheney, 2007) has raised awareness of the need for the retirement village industry to provide a sustainable community for older people to improve their life quality after retirement. This is the first critical study of sustainable development in the retirement village industry and its potential in addressing the housing needs of older people, providing a contribution towards improving the life quality of older people and with direct and immediate significance to the community as a whole.

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Despite the existence of air quality guidelines in Australia and New Zealand, the concentrations of particulate matter have exceeded these guidelines on several occasions. To identify the sources of particulate matter, examine the contributions of the sources to the air quality at specific areas and estimate the most likely locations of the sources, a growing number of source apportionment studies have been conducted. This paper provides an overview of the locations of the studies, salient features of the results obtained and offers some perspectives for the improvement of future receptor modelling of air quality in these countries. The review revealed that because of its advantages over alternative models, Positive Matrix Factorisation (PMF) was the most commonly applied model in the studies. Although there were differences in the sources identified in the studies, some general trends were observed. While biomass burning was a common problem in both countries, the characteristics of this source varied from one location to another. In New Zealand, domestic heating was the highest contributor to particle levels on days when the guidelines were exceeded. On the other hand, forest back-burning was a concern in Brisbane while marine aerosol was a major source in most studies. Secondary sulphate, traffic emissions, industrial emissions and re-suspended soil were also identified as important sources. Some unique species, for example, volatile organic compounds and particle size distribution were incorporated into some of the studies with results that have significant ramifications for the improvement of air quality. Overall, the application of source apportionment models provided useful information that can assist the design of epidemiological studies and refine air pollution reduction strategies in Australia and New Zealand.

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There has been significant debate about the value of screening for dementia, and the need for early diagnosis. Options include Gene testing, early risk assessment, screening, case finding and review when a patient or carer identify that they have symptoms. This paper is not focused on these early approaches to identifying people with dementia. It is focused on the period when a patient or a carer has recognised that there are some memory problems and they are seeking assistance with a diagnosis or explanation in relation to memory loss.