1,029 research outputs found

    But I’d rather have raisins! Exploring a hybridized approach to multimodal interaction in the case of a minimally verbal child with autism

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    This article explores a 'hybridized approach' to multimodal research drawing on video data of classroom communication involving children diagnosed with Autism Spectrum Disorder. The focus is a short video of 'Luke', aged six, who at snack time declines to request an available food item (carrot, tomato or apple) with the available Picture Exchange Communication System (PECS); instead deploying embodied, idiosyncratic communication including gaze, vocalisation and object manipulation to request raisins. The article explores the potential of a hybridized approach for understanding Luke's communicative competencies which draws upon the theoretical perspectives of Ethnography of Communication, Conversation Analysis and Multimodal (Inter)Action Analysis; and uses two forms of multimodal transcription (the multimodal matrix and annotated video stills). It is argued that each tradition brings distinct affordances to our understanding of this short interaction and that together they can permit inferences which would not have been possible working with one approach alone

    Simulator test to study hot-flow problems related to a gas cooled reactor

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    An advance study of materials, fuel injection, and hot flow problems related to the gas core nuclear rocket is reported. The first task was to test a previously constructed induction heated plasma GCNR simulator above 300 kW. A number of tests are reported operating in the range of 300 kW at 10,000 cps. A second simulator was designed but not constructed for cold-hot visualization studies using louvered walls. A third task was a paper investigation of practical uranium feed systems, including a detailed discussion of related problems. The last assignment resulted in two designs for plasma nozzle test devices that could be operated at 200 atm on hydrogen

    Intro to Using Galaxy for Bioinformatics

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    Talk given at IU Galaxy for Bioinformatics Workshop 09/17/13This material is based upon work supported by the National Science Foundation under Grant No. ABI-1062432, Craig Stewart, PI. William Barnett, Matthew Hahn, and Michael Lynch, co-PIs. This work was supported in part by the Lilly Endowment, Inc. and the Indiana University Pervasive Technology Institute. Any opinions presented here are those of the presenter(s) and do not necessarily represent the opinions of the National Science Foundation or any other funding agencie

    Realising the 'right to play' in the special school playground

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    In this paper I mobilise a multimodal ethnographic data fragment depicting a moment of play in a UK 'special school' playground to unpack the complexity and challenges of realising the 'right to play' (Article 31, UN Convention on the Rights of the Child) in a non-inclusive play space. I show that play (im)possibilities were delineated by the physical boundaries of the play environment, the absence of non-disabled peers and a lack of symbol-based resources to support playful meaning-making. Nevertheless, the children execute a short play event through non-verbal multimodal embodied communication which encompassed pleasure, frustration, invitations, rejections, acceptances, and negotiation over resource sharing. I argue that this brief play event instantiates broader debates around the Article 31 'right to play': specifically, to what extent this right can ever be realised in a non-inclusive playground, whether autistic children require play 'training' in order to exercise their right to play, and how diverse forms of play can be scaffolded by staff in the absence of non-disabled children

    Life Stage Simulation Analysis: Estimating Vital-Rate Effects on Population Growth for Conservation

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    We developed a simulation method, known as life-stage simulation analysis (LSA) to measure potential effects of uncertainty and variation in vital rates on population growth (lambda) for purposes of species conservation planning. Under LSA, we specify plausible or hypothesized levels of uncertainty, variation, and covariation in vital rates fur a given population. We use these data under resampling simulations to establish random combinations of vital rates for a large number of matrix replicates and finally summarize results from the matrix replicates to estimate potential effects of each vital rate on lambda in a probability-based context. Estimates of potential effects are based on a variety of summary statistics, such as frequency of replicates having the same vital rate of highest elasticity, difference in elasticity values calculated under simulated conditions vs, elasticities calculated using mean invariant vital rates, percentage of replicates having positive population growth, and variation in lambda explained by variation in each vital rate. To illustrate, we applied LSA to viral rates for two vertebrates: desert tortoise (Gopherus agassizii) and Greater prairie Chicken (Tympanuchus cupido). Results fur the prairie chicken indicated that a single vital rate consistently had greatest effect on population growth. Results for desert tortoise, however, suggested that a variety of life stages could have strong effects on population growth. Additional simulations for the Greater Prairie Chicken under a hypothetical conservation plan also demonstrated that a variety of vital rates could be manipulated to achieve desired population growth. To improve the reliability of inference, we recommend that potential effects of vital rates on lambda be evaluated using a probability-based approach like LSA. LSA is an important complement to other methods that evaluate vital-rate effects on lambda, including classical elasticity analysis, retrospective methods of variance decomposition, and simulation of the effects of environmental stochasticity

    Voltage tuning of vibrational mode energies in single-molecule junctions

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    Vibrational modes of molecules are fundamental properties determined by intramolecular bonding, atomic masses, and molecular geometry, and often serve as important channels for dissipation in nanoscale processes. Although single-molecule junctions have been employed to manipulate electronic structure and related functional properties of molecules, electrical control of vibrational mode energies has remained elusive. Here we use simultaneous transport and surface-enhanced Raman spectroscopy measurements to demonstrate large, reversible, voltage-driven shifts of vibrational mode energies of C60 molecules in gold junctions. C60 mode energies are found to vary approximately quadratically with bias, but in a manner inconsistent with a simple vibrational Stark effect. Our theoretical model suggests instead that the mode shifts are a signature of bias-driven addition of electronic charge to the molecule. These results imply that voltage-controlled tuning of vibrational modes is a general phenomenon at metal-molecule interfaces and is a means of achieving significant shifts in vibrational energies relative to a pure Stark effect.Comment: 23 pages, 4 figures + 12 pages, 7 figures supporting materia

    Comprehensive framework for human health risk assessment of nanopesticides

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    Nanopesticides are not only in an advanced state of research and development but have started to appear on the market. Industry and regulatory agencies need a consolidated and comprehensive framework and guidance for human health risk assessments. In this perspective we develop such a comprehensive framework by exploring two case studies from relevant product types: an active ingredient delivered with a nanocarrier system, and a nanoparticle as an active ingredient. For a nanocarrier system, three entities are tracked during the assessment: the nanocarrier–active ingredient complex, the empty nanocarrier remaining after the complete release of the active ingredient, and the released active ingredient. For the nanoparticle of pure active ingredient, only two entities are relevant: the nanoparticle and the released ions. We suggest important adaptations of the existing pesticide framework to determine the relevant nanopesticide entities and their concentrations for toxicity testing. Depending on the nature of the nanopesticides, additional data requirements, such as those pertaining to durability in biological media and potential for crossing biological barriers, have also been identified. Overall, our framework suggests a tiered approach for human health risk assessment, which is applicable for a range of nanopesticide products to support regulators and industry in making informed decisions on nanopesticide submissions. Brief summaries of suitable methods including references to existing standards (if available) have been included together with an analysis of current knowledge gaps. Our study is an important step towards a harmonized approach accepted by regulatory agencies for assessing nanopesticides
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