1,387 research outputs found
Election results and the Sznajd model on Barabasi network
The network of Barabasi and Albert, a preferential growth model where a new
node is linked to the old ones with a probability proportional to their
connectivity, is applied to Brazilian election results. The application of the
Sznajd rule, that only agreeing pairs of people can convince their neighbours,
gives a vote distribution in good agreement with reality.Comment: 7 pages including two figures, for Eur. Phys. J.
A Meta-Brokering Framework for Science Gateways
Recently scientific communities produce a growing number of computation-intensive applications, which calls for the interoperation of distributed infrastructures including Clouds, Grids and private clusters. The European SHIWA and ER-flow projects have enabled the combination of heterogeneous scientific workflows, and their execution in a large-scale system consisting of multiple Distributed Computing Infrastructures. One of the resource management challenges of these projects is called parameter study job scheduling. A parameter study job of a workflow generally has a large number of input files to be consumed by independent job instances. In this paper we propose a meta-brokering framework for science gateways to support the execution of such workflows. In order to cope with the high uncertainty and unpredictable load of the utilized distributed infrastructures, we introduce the so called resource priority services. These tools are capable of determining and dynamically updating priorities of the available infrastructures to be selected for job instances. Our evaluations show that this approach implies an efficient distribution of job instances among the available computing resources resulting in shorter makespan for parameter study workflows
Contribution of microâPIXE to the characterization of settled dust events in an urban area affected by industrial activities
This study aimed to identify possible sources of settled dust events that occurred in an urban area nearby an industrial park, which alarmed the local population. Settled dust was collected in January 2019 and its chemical characterization was assessed by micro-PIXE, focusing on a total of 29 elements. Comparison with chemical profiles of particulate matter from different types of environment was conducted, along with the assessment of crustal enrichment factors and Spearman correlations, allowing to understand which sources were contributing to this settled dust event. A nearby industrial areaâs influence was identified due to the contents of Fe, Cr and Mn, which are typical tracers of iron and steel industries.info:eu-repo/semantics/publishedVersio
Characterization of a settled dust event in an urban area affected by industrial activities
Trabalho apresentado em 7th Iberian Meeting Aerosol Science and Technology â RICTA19, 2019, Lisbon, PortugalN/
Scaling relation for determining the critical threshold for continuum percolation of overlapping discs of two sizes
We study continuum percolation of overlapping circular discs of two sizes. We
propose a phenomenological scaling equation for the increase in the effective
size of the larger discs due to the presence of the smaller discs. The critical
percolation threshold as a function of the ratio of sizes of discs, for
different values of the relative areal densities of two discs, can be described
in terms of a scaling function of only one variable. The recent accurate Monte
Carlo estimates of critical threshold by Quintanilla and Ziff [Phys. Rev. E, 76
051115 (2007)] are in very good agreement with the proposed scaling relation.Comment: 4 pages, 3 figure
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Mechanisms of change in the evolution of jargon aphasia
Background: The evolution of jargon aphasia may reflect recovery in the speech production processes. Alternatively or additionally there may be improved self-monitoring, enabling the person to suppress jargon errors. Previous case reports offer evidence for both mechanisms of change, and suggest that they can co-occur.
Aims: This longitudinal study aimed to uncover mechanisms of change in an individual with jargon aphasia. Four predictions of production processing recovery were examined against test data. The study also looked for evidence of improved error awareness, in both test and connected speech data, and explored the relationship between this improvement and the production gains.
Methods & Procedures: The participant (TK) undertook tests of single word naming, reading and repetition eight times over a 21-month period, with matched sets of nouns and verbs. Analyses of correct responses and errors were conducted, in order to test predictions of processing recovery. Changes in self-monitoring behaviours were also investigated, to uncover evidence of increased error awareness. Finally, longitudinal changes in samples of connected speech were explored.
Outcomes & Results: Two predictions of production processing recovery were upheld: there was a significant increase in the number of correct responses over time, and a significant decrease in the proportion of nonword errors. The error analysis also revealed a trend towards increased target-relatedness and decreased perseveration, but neither was significant. There was an increase in self-monitoring behaviours during testing, in that there were more null responses and attempted self-corrections. This increase correlated very strongly with the production gains. Connected speech showed little evidence of improved production, since the range of vocabulary employed by TK reduced as time progressed. However, self-monitoring behaviours were increasingly evident in this context.
Conclusions: The origin of the production and monitoring gains experienced by TK are discussed. Implications are drawn out for further research
Quasi-static cracks and minimal energy surfaces
We compare the roughness of minimal energy(ME) surfaces and scalar
``quasi-static'' fracture surfaces(SQF). Two dimensional ME and SQF surfaces
have the same roughness scaling, w sim L^zeta (L is system size) with zeta =
2/3. The 3-d ME and SQF results at strong disorder are consistent with the
random-bond Ising exponent zeta (d >= 3) approx 0.21(5-d) (d is bulk
dimension). However 3-d SQF surfaces are rougher than ME ones due to a larger
prefactor. ME surfaces undergo a ``weakly rough'' to ``algebraically rough''
transition in 3-d, suggesting a similar behavior in fracture.Comment: 7 pages, aps.sty-latex, 7 figure
Fracture in Three-Dimensional Fuse Networks
We report on large scale numerical simulations of fracture surfaces using
random fuse networks for two very different disorders. There are some
properties and exponents that are different for the two distributions, but
others, notably the roughness exponents, seem universal. For the universal
roughness exponent we found a value of zeta = 0.62 +/- 0.05. In contrast to
what is observed in two dimensions, this value is lower than that reported in
experimental studies of brittle fractures, and rules out the minimal energy
surface exponent, 0.41 +/- 0.01.Comment: 4 pages, RevTeX, 5 figures, Postscrip
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