11 research outputs found

    An Open System for Social Computation

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    Part of the power of social computation comes from using the collective intelligence of humans to tame the aggregate uncertainty of (otherwise) low veracity data obtained from human and automated sources. We have witnessed a surge in development of social computing systems but, ironically, there have been few attempts to generalise across this activity so that creation of the underlying mechanisms themselves can be made more social. We describe a method for achieving this by standardising patterns of social computation via lightweight formal specifications (we call these social artifacts) that can be connected to existing internet architectures via a single model of computation. Upon this framework we build a mechanism for extracting provenance meta-data across social computations

    Real-time RT-PCR assay to detect Granada virus and the related Massilia and Arrabida phleboviruses

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    Background: Granada virus belongs to the genus Phlebovirus within the Naples serocomplex and was detected for the first time in sand flies from Spain in 2003. Seroprevalence studies have revealed that Granada virus may infect humans with most cases being asymptomatic. Moreover, recent studies in vector samples revealed that the related Massilia and Arrabida phleboviruses could be also circulating in Spain. The objective of this study was to develop and assess a new sensitive real-time RT-PCR assay for Granada virus diagnosis able to detect the related phleboviruses Massilia and Arrabida. Methods: Two specific primers and one unique probe to detect Granada, Massilia and Arrabida viruses, without differentiating between them, were designed targeting the conserved L-segment of their genome. Sensitivity was assessed using 10-fold serial dilutions of quantified in vitro DNA samples. Specificity was evaluated by testing different genomic RNA extracted from other representative phleboviruses. The new assay was used for virus detection in sand flies collected in 2012 from the Balearic Archipelago, a touristic hotspot in the Mediterranean. Results: The real-time RT-PCR assay exhibited a sensitivity per reaction of 19 copies for Granada and Arrabida, and 16 copies for Massilia. No other related phleboviruses were detected. From the 37 pools of sand fly samples studied from four different Balearic Islands, we detected one positive in the island of Cabrera. Conclusions: To our knowledge, the method described here is the first real-time RT-PCR designed to detect Granada virus and the related Massilia and Arrabida phleboviruses. The study demonstrated that this is a rapid, robust and reliable assay for the accurate diagnosis of human infections as well as for virus surveillance in vectors.[Figure not available: see fulltext.]This study was supported in part by the projects CP13/00114 and PI14CIII/00014 from the Instituto de Salud Carlos III. EGD was supported by Juan de la Cierva and Ramón y Cajal contracts from the Ministerio de Educación y Ciencia, Spain. Financial support was provided by project ERGPARIS-276838 from the European Commission. JF and DR were supported by project CGL2009-11445 from the Ministerio de Economia y Competitividad, Spain

    Target selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE)

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    The Apache Point Observatory Galactic Evolution Experiment (APOGEE) is a high-resolution infrared spectroscopic survey spanning all Galactic environments (i.e., bulge, disk, and halo), with the principal goal of constraining dynamical and chemical evolution models of the Milky Way. APOGEE takes advantage of the reduced effects of extinction at infrared wavelengths to observe the inner Galaxy and bulge at an unprecedented level of detail. The survey’s broad spatial and wavelength coverage enables users of APOGEE data to address numerous Galactic structure and stellar populations issues. In this paper we describe the APOGEE targeting scheme and document its various target classes to provide the necessary background and reference information to analyze samples of APOGEE data with awareness of the imposed selection criteria and resulting sample properties. APOGEE’s primary sample consists of ∼105 red giant stars, selected to minimize observational biases in age and metallicity. We present the methodology and considerations that drive the selection of this sample and evaluate the accuracy, efficiency, and caveats of the selection and sampling algorithms. We also describe additional target classes that contribute to the APOGEE sample, including numerous ancillary science programs, and we outline the targeting data that will be included in the public data releases

    Target selection for the Apache Point Observatory Galactic Evolution Experiment (APOGEE)

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    The Apache Point Observatory Galactic Evolution Experiment (APOGEE) is a high-resolution infrared spectroscopic survey spanning all Galactic environments (i.e., bulge, disk, and halo), with the principal goal of constraining dynamical and chemical evolution models of the Milky Way. APOGEE takes advantage of the reduced effects of extinction at infrared wavelengths to observe the inner Galaxy and bulge at an unprecedented level of detail. The survey’s broad spatial and wavelength coverage enables users of APOGEE data to address numerous Galactic structure and stellar populations issues. In this paper we describe the APOGEE targeting scheme and document its various target classes to provide the necessary background and reference information to analyze samples of APOGEE data with awareness of the imposed selection criteria and resulting sample properties. APOGEE’s primary sample consists of ∼105 red giant stars, selected to minimize observational biases in age and metallicity. We present the methodology and considerations that drive the selection of this sample and evaluate the accuracy, efficiency, and caveats of the selection and sampling algorithms. We also describe additional target classes that contribute to the APOGEE sample, including numerous ancillary science programs, and we outline the targeting data that will be included in the public data releases

    The tenth data release of the Sloan Digital Sky Survey: first spectroscopic data from the SDSS-III Apache Point Observatory Galactic Evolution Experiment

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    The Tenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the SDSS-III Apache Point Observatory Galactic Evolution Experiment

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    The Sloan Digital Sky Survey (SDSS) has been in operation since 2000 April. This paper presents the Tenth Public Data Release (DR10) from its current incarnation, SDSS-III. This data release includes the first spectroscopic data from the Apache Point Observatory Galaxy Evolution Experiment (APOGEE), along with spectroscopic data from the Baryon Oscillation Spectroscopic Survey (BOSS) taken through 2012 July. The APOGEE instrument is a near-infrared R similar to 22,500 300 fiber spectrograph covering 1.514-1.696 mu m. The APOGEE survey is studying the chemical abundances and radial velocities of roughly 100,000 red giant star candidates in the bulge, bar, disk, and halo of the Milky Way. DR10 includes 178,397 spectra of 57,454 stars, each typically observed three or more times, from APOGEE. Derived quantities from these spectra (radial velocities, effective temperatures, surface gravities, and metallicities) are also included. DR10 also roughly doubles the number of BOSS spectra over those included in the Ninth Data Release. DR10 includes a total of 1,507,954 BOSS spectra comprising 927,844 galaxy spectra, 182,009 quasar spectra, and 159,327 stellar spectra selected over 6373.2 deg(-2)
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