948 research outputs found

    The Social Life of Big Data - Pawsey resources

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    The presentation covers the supercomputing facilities and services available at the Pawsey Supercomputing Centre, Western Australia. The Pawsey Supercomputing Centre is an unincorporated joint venture between CSIRO, Curtin University, Edith Cowan University, Murdoch University and the University of Western Australia and is supported by the Western Australian Government

    Parallel density matrix propagation in spin dynamics simulations

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    Several methods for density matrix propagation in distributed computing environments, such as clusters and graphics processing units, are proposed and evaluated. It is demonstrated that the large communication overhead associated with each propagation step (two-sided multiplication of the density matrix by an exponential propagator and its conjugate) may be avoided and the simulation recast in a form that requires virtually no inter-thread communication. Good scaling is demonstrated on a 128-core (16 nodes, 8 cores each) cluster.Comment: Submitted for publicatio

    Predicting interpersonal influence from conversational features

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    Interpersonal influence has a radical impact on the dissemination of information in online social media. Methods for measuring this influence between online conversation partners are often over-reliant on platform-level features, rendering them inoperable in other settings. We propose a novel and portable solution using Transformers to derive features of conversations that indicate influence. In an evaluation across a diverse discussion dataset, we show that our framework competes with existing state-of-the-art large language models, being able to predict both social and behavioural measures of influence accurately, and at different levels of resolution, with a Macro-F1 above 0.91 in all cases of social influence

    Understanding the Perceived Attributes and Consequences of Participation in Youth Rep Hockey: An Analysis from the Parental Perspective

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    Participation in youth sport has been recognized for myriad developmental benefits. When one considers sport participation, there are a number of different delivery models. Participation can be recreational in nature or competitively driven. Regardless of competitive level, it is important for sport managers to understand the drivers that influence sport participation. Thus, the purpose of the current investigation was to achieve a better understanding of the perceived attributes and consequences of youth representative (rep) sport participation from the perspective of the elite athletes\u27 parents. Parents\u27 perceptions are important given that these individuals are the ultimate decision makers for their children\u27s sport participation. To investigate this purpose, a laddering interview technique was employed. Findings indicate that attributes of youth rep sport participation include structure, competition/challenge, and team environment. Perceived consequences or benefits include learning life lessons (leading to productive citizens), skill development (leading to confidence), discipline/accountability, work ethic, and friendships. The attributes and benefits could be used to develop policies, procedures, and rules/regulations that deliver maximum satisfaction at the youth rep level

    INFO 2009 Coursework 2 - Go Green - Group 7 - Green ICT

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    A Website on GREEN ICT by the Go Green Group as a part of the resource set made for the Info2009 2011-12 coursewor

    Managing Research Data for Success

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    Cool Gaseous Exoplanets: surveying the new frontier with Twinkle

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    Cool gaseous exoplanets (1.75 R⊕<Rp<3 RJ1.75\ R_\oplus < R_\text{p} < 3\ R_\text{J}, 200200 K <Teq<1000<T_\text{eq} < 1000~K) are an as-yet understudied population, with great potential to expand our understanding of planetary atmospheres and formation mechanisms. In this paper, we outline the basis for a homogeneous survey of cool gaseous planets with Twinkle, a 0.45-m diameter space telescope with simultaneous spectral coverage from 0.5-4.5~μ\mum, set to launch in 2025. We find that Twinkle has the potential to characterise the atmospheres of 36 known cool gaseous exoplanets (11~sub-Neptunian, 11~Neptunian, 14~Jovian) at an SNR ≥\geq 5 during its 3-year primary mission, with the capability of detecting most major molecules predicted by equilibrium chemistry to > 5σ5\sigma significance. We find that an injected mass-metallicity trend is well-recovered, demonstrating Twinkle's ability to elucidate this fundamental relationship into cool regime. We also find Twinkle will be able to detect cloud layers at 3σ\sigma or greater in all cool gaseous planets for clouds at ≤\leq 10 Pa pressure level, but will be insensitive to clouds deeper than 10410^4 Pa in all cases. With these results we demonstrate the capability of the Twinkle mission to greatly expand the current knowledge of cool gaseous planets, enabling key insights and constraints to be obtained for this poorly-charted region of exoplanet parameter space.Comment: 14 pages, 6 figures, 6 table
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