1,722,147 research outputs found

    Authorship recognition and disambiguation of scientific papers using a neural networks approach

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    Authorship recognition and author names disambiguation are main issues affecting the quality and reliability of bibliographic records retrieved from digital libraries, such as Web of Science, Scopus, Google Scholar and many others. So far, these problems have been faced using methods mainly based on text-pattern-recognition for specific datasets, with high-level degree of errors. In this paper, we propose a different approach using neural networks to learn features automatically for solving authorship recognition and disambiguation of author names. The network learns for each author the set of co-writers, and from this information recovers authorship of papers. In addition, the network can be trained taking into account other features, such as author affiliations, keywords, projects and research areas. The network has been developed using the TensorFlow framework, and run on recent Nvidia GPUs and multi-core Intel CPUs. Test datasets have been selected from records of Scopus digital library, for several groups of authors working in the fields of computer science, environmental science and physics. The proposed methods achieves accuracies above 99% in authorship recognition, and is able to effectively disambiguate homonyms. We have taken into account several network parameters, such as training-set and batch size, number of levels and hidden units, weights initialization, back-propagation algorithms, and analyzed also their impact on accuracy of results. This approach can be easily extended to any dataset and any bibliographic records provider (Table presented.)

    MECO and Alpine orogenesis. Constraints for facies evolution of the Bartonian nummulitic and Solenomeris limestone in the Argentina Valley (Ligurian Alps)

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    The Eocene represents the last greenhouse interval before Present. The maximum warming during the early Eocene was followed by a long-term cooling trend culminating in the Antarctica glaciation at the base of the Oligocene. Superimposed on this long-term cooling trend there is a prominent transient warming event known as the middle Eocene climatic optimum (MECO) occurring during the early Bartonian. The carbonate ramp succession cropping out in the Argentina Valley (Maritime Alps) offers new insights on the evolution of shallow water realms during this time interval. This ramp displays two main facies belts, middle and outer ramp. The middle ramp is recorded by larger benthic foraminifer floatstone to rudstone, passing to Solenomeris branches and nodule floatstone to rudstone evolving to branching coralline algal floatstone. The outer ramp is dominated by bioturbated marly wackestone to packstone alternating with larger benthic foraminifer floatstone with a silty matrix. The investigated ramp was affected by continuous dispersion and reworking of the skeletal components as other Tethyan Eocene ramps. During the Eocene, the Alpine foreland was influenced by fine terrigenous input controlling the trophic conditions and promoting seawater stratification and the development of a strong pycnocline, for which many perturbations could propagate as internal waves. The reworking of skeletal components of the ramp has been ascribed to the action of internal waves. The switch of carbonate production from a carbonate factory dominated by larger benthic foraminifera to a factory in which the encrusting foraminifer Solenomeris was the main carbonate producer biota, is indicative of a radical change in palaeoenvironmental conditions affecting the early Bartonian. The acme of Solenomeris often coincided with the crisis of carbonate producers during intervals of an evident deterioration of environmental conditions. In this case the acme is probably related to the adverse conditions linked to the (MECO) warming event. Finally, the drowning of the nummulitic ramp has been caused by light reduction for the photo-dependent biota due to progressively increasing depth linked to flexural subsidence of the foreland plate, and minor efficiency of the aphotic carbonate factory

    Physics of RS

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    Most remote sensing instruments on aircraft or space-based platforms operate in one or more of these windows by making their measurements with detectors tuned to specific frequencies (wavelengths), that pass through the atmosphere. The behavior of electromagnetic waves in free space is governed by Maxwell's equations. In homogeneous, isotropic and nonmagnetic media, Maxwell's equations can be combined to derive the wave equation, in the case of a sinusoidal field. Remote sensing instruments exploit different aspects of the solution to the wave equation, in order to learn more about the properties of the medium from which the radiation is being sensed. The electromagnetic energy can be presented in a quantized form, as bursts of radiation with a quantized radiant energy, which is proportional to the frequency. The polarization states of the incident and reradiated waves play an important role in remote sensing

    Towards Cloud Computing

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    This chapter is a general presentation of cloud computing through its architecture and service offering. It deals with some basic cloud computing taxonomy and concepts to demonstrate how traditional IT usages are transformed. The chapter presents three base-levels of IT outsourcing: Software as a Service, Platform as a Service, and Infrastructure as a Service. In recent years, many more services have become available in addition to those first three families, through the growth of new technologies around Internet of Things, web of things and industry 4.0 concepts. In the taxonomy of cloud computing, there are three types of cloud infrastructures, according to where the cloud is installed or deployed and for whom the services are accessible: public cloud, private cloud, and hybrid cloud. There are many concepts underlying the term “cloud computing”. The chapter introduces the most important ones, such as data centers, virtualization, scalability or service and Web-Oriented Architecture

    3D modelling of the upper Tortonian-lower Messinian shallow ramp carbonates of the Hyblean domain (Central Mediterranean, Faro Santa Croce, Sicily)

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    This work illustrates a combined modelling approach using digital photogrammetry and geological modelling to create a high detailed 3D facies model of the inner environment of the Monte Carrubba carbonate ramp outcropping in the South Sicily. The Monte Carrubba Formation (Tortonian-lower Messinian) is the youngest marine Miocene carbonate deposit of the Hyblean region, prior to the Messinian crisis of the Mediterranean. In particular, Faro Santa Croce outcrop, which is in vertical thickness up to 8 m, shows the most proximal sector of this ramp. The Faro Santa Croce outcrop offers the opportunity to investigate and reproduce a highly-detailed facies heterogeneity 3D model for a very narrow and limited area of few squared kilometers (0.1 Km2), developed in a tectonically stable area. Within this small areal, five facies have been recognized and modelled revealing a high level of facies heterogeneity. In this area marine ooidal shoals (ooidal grainstone to packstone) interfingered with shallow water seagrass environment (green-algal-floatstone facies and bioclastic grainstone-to-packstone facies) with abundant mollusc fauna. The distal part of this vegetated environment (fine-grained mollusc-packstone facies) passed basinward into coral mounds (coral boundstone). The combination of digital photogrammetry and 3D geological modelling software has allowed to obtain a very high-resolution model of facies heterogeneity, evidencing the complexity of facies associations and, in particular, the development of a facies mosaic that can be underestimated by a classical 1D or 2D field analysis, especially in limitedly exposed outcrops

    Carbonate factory of Pietra di Finale coastal wedge (Miocene). The unusual abundance of stylasterids (Cnidaria, Hydrozoa)

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    This work focuses on the carbonate factories constituting the Pietra di Finale Fm cropping out in the Ligurian Alps. This unit constituted a mixed carbonate–siliciclastic coastal wedge developed during the Middle Miocene. The carbonate factories characterizing the coastal wedge of the Pietra di Finale clearly differ from those of the coastal mixed systems and carbonate platforms developing during the Miocene elsewhere in the Mediterranean area. Here, in the Ligurian Alps, the euphotic carbonate factory does not show any evidence of seagrass meadows and coral bioconstructions. Zooxanthellate corals are present only as skeletal debris associated with abundant stylasterids. In the mesophotic and oligophotic zones, the typical oligophotic biota of red algae and larger benthic foraminifers are strongly reduced. The coastal wedge of the Pietra di Finale shows an unusual abundance of stylasterids, classically interpreted as deep-water biota. However, in this example, the absence of low-energy textures and other skeletal components suggest a shallow-water origin, probably in the eu- or mesophotic zone. The stylasterids colonized the hard substrates available and were successively removed and resedimented to form the skeletal fraction of the coastal wedge of the Pietra di Finale. The abundance of stylasterids is restricted to particular and limited situations in the Miocene of the Mediterranean, thus suggesting that their abnormal development is controlled by local rather than global factors

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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