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    1401 research outputs found

    Data to support the research article: “A planar surface acoustic wave micropump for closed-loop microfluidics”

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    We have designed and characterized a simple Rayleigh-surface acoustic wave-based micropump, integrated directly with a fully enclosed 3D microfluidic system, which improves significantly the pumping efficiency within a coupled fluid whilst maintaining planar integration of the micropump and microfluidics. We achieve this by exploiting the Rayleigh-scattering angle of surface acoustic waves into pressure waves on contact with overlaid fluids, by designing a microfluidic channel aligned almost co-linearly with the launched pressure waves, and by minimizing energy-losses by reflections from, or absorption within, the channel walls. This allows the microfluidic system to remain fully enclosed – a pre-requisite for point-of-care applications – removing sources of possible contamination, whilst achieving pressure gradients up to several orders of magnitude higher than previously reported, at low operating powers of 0.5 W

    Simple Geometry Tribological Study of Osteochondral Graft Implantation in the Knee dataset

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    The dataset contains material to supplement the paper “Simple Geometry Tribological Study of Osteochondral Graft Implantation in the Knee” including: coefficient of dynamic friction (and change in); volume and depth of articular cartilage surface damage/wear/deformation

    Data associated with 'From understanding structures in antiferro-ferri and ferroelelectric liquid crystals to an unusual electro-optic effect in a bent-core nematic; a celebration of innovative materials'

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    High resolution versions of the figures in the paper 'From understanding structures in antiferro-ferri and ferroelelectric liquid crystals to an unusual electro-optic effect in a bent-core nematic; a celebration of innovative materials

    Data to support the research article 'Rapid cell separation with minimal manipulation for autologous cell therapies'

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    Data set containing raw data used to calculate the alignment statistics for yeast cells (including false positives and false negatives), alongside flow-cytometry measurements of FSC/SSC for DPSCs and all control measurements, and quantitative alkaline phosphatase assay statistics for DPSCs

    Data associated with ‘Sensorimotor control dynamics and cultural biases’

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    The data are kinematic measures of motor control asymmetries in 69 adults and 140 children (aged 5-6 years) from Britain and Kuwait. Data are provided on age (adult/child); nationality (British/Kuwaiti), gender (male/female); handedness (right-handed/left-handed); and task performance (tracing error score (mm) on a tracing task, where participants completed the task both in the left-to-right direction, and the right-to-left direction)

    Graphic User Interfaces for the calculation of nanoparticle molecular weight

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    We provide stand-alone graphic user interfaces to calculate UCNP:RE molecular weight as described in our paper 'The molecular weight of NaYF4:RE photonic up-conversion nanoparticles' available as a preprint from the associated link (https://doi.org/10.1101/114744

    Data associated with 'Developing an Input-Output Based Method to Estimate a National-Level Energy Return on Investment (EROI)'

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    This MatLab code calculates a national-level indirect energy investment, one of the components needed for calculating a national-level ERO

    Dataset associated with 'Hydrodynamic simulations of mechanical stellar feedback in a molecular cloud formed by thermal instability'

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    In the paper, we have used the AMR hydrodynamic code, MG, to perform 3D hydrodynamic simulations with self-gravity of stellar feedback in a spherical clumpy molecular cloud formed through the action of thermal instability. This repository contains the raw data to accompany each figure in this peer-reviewed publication in the Monthly Notices of the Royal Astronomical Society

    Metallo-cryptophane cages from cis-linked and trans-linked strategies.

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    Data supporting study of Pd(II) metallo-cage species from cyclotriguaiacylene derived ligands

    Dataset associated with Framing Climate Uncertainty: Frame Choices Reveal and Influence Climate Change Beliefs.

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    Dataset description. We investigated in two pre-registered studies (1) how ‘communicators’ verbally frame a confidence interval regarding projected change in winter precipitation due to climate change (N = 512, speakers2.RData). We assessed this by asking study participants to choose one of two different verbal frames for communicating the above projection (a ‘concerned’ compared to an ‘unconcerned’ frame). Using a five-item scale, we measured their perceived severity of consequences of this projection (including health, financial and property losses and one general severity item) as main predictor, and environmental values (New Ecological Paradigm-scale by Dunlap et al., 2000), political affiliation (7-point scale ranging from ‘strong democrat’ to ‘strong republican’), levels of numeracy (using the adaptive version of the Berlin Numeracy Test, BNT, Cokely et al., 2012), age, gender, and levels of education. We studied further (2) how ‘listeners’ interpret the two different verbal frames (N = 385, listener2.RData). Listeners were randomly allocated to two different experimental groups. As main dependent variable, we measured their perceived severity of consequences of precipitation change, and as covariates environmental values, levels of numeracy, and demographic variables, all as described for study 1. Samples for both studies were recruited via Amazon Mechanical Turk in spring 2017. Answers of participants were collected using the survey software Unipark. Both studies were preregistered at the Open Science Framework, and all materials and measures used can be found at osf.io/3tr4h. The R-Code used for analysing the study results is stored in the .R-files models_speakers_replicationApril2017.R and models_listeners_replicationApril2017.R

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