Search results for " Multiscale"

showing 10 items of 20 documents

Global patterns and drivers of alpine plant species richness

2021

B.J.-A. was funded by the Marie Curie Clarín-COFUND program of the Principality of Asturias-EU (ACB17-26) and the Spanish Research Agency (AEI/10.13039/501100011033).

0106 biological sciencesbiodiversity hotspot010504 meteorology & atmospheric sciencesAlpine plantglobal pattern[SDE.MCG]Environmental Sciences/Global Changes[SDV.BID]Life Sciences [q-bio]/Biodiversitybiogeographical history010603 evolutionary biology01 natural sciencesplant species richnessTemperate climateglobal patternsAlpine vegetation; biodiversity hotspots; biogeographical history; global patterns; multiscale analysis; plant species richnessEcosystemEcology Evolution Behavior and Systematicsbiodiversity hotspots0105 earth and related environmental sciences[SDV.EE]Life Sciences [q-bio]/Ecology environmentGlobal and Planetary ChangeEcologyEcologymultiscale analysimultiscale analysisVegetation15. Life on landBiodiversity hotspotTaxonGeographyRarefaction (ecology)Species richnessAlpine vegetation[SDE.BE]Environmental Sciences/Biodiversity and EcologyGlobal Ecology and Biogeography
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A Computational Two-Scale Approach to Nonlinear Analysis of Etherogeneous Composite Structures

2010

Etherogeneous Composite Nonlinear MultiscaleSettore ICAR/08 - Scienza Delle Costruzioni
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Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes

2017

Exploiting the theory of state space models, we derive the exact expressions of the information transfer, as well as redundant and synergistic transfer, for coupled Gaussian processes observed at multiple temporal scales. All of the terms, constituting the frameworks known as interaction information decomposition and partial information decomposition, can thus be analytically obtained for different time scales from the parameters of the VAR model that fits the processes. We report the application of the proposed methodology firstly to benchmark Gaussian systems, showing that this class of systems may generate patterns of information decomposition characterized by prevalently redundant or sy…

FOS: Computer and information sciencesInformation transferComputer scienceGaussianSocial SciencesGeneral Physics and AstronomyInformation theory01 natural sciences010305 fluids & plasmasState spaceStatistical physicslcsh:Scienceinformation theorymultiscale entropylcsh:QC1-999Interaction informationMathematics and Statisticssymbolsinformation dynamicsInformation dynamics; Information transfer; Multiscale entropy; Multivariate time series analysis; Redundancy and synergy; State space models; Vector autoregressive models; Physics and Astronomy (all)information dynamics; information transfer; multiscale entropy; multivariate time series analysis; redundancy and synergy; state space models; vector autoregressive modelsMultivariate time series analysiMathematics - Statistics Theorylcsh:AstrophysicsStatistics Theory (math.ST)Statistics - ApplicationsMethodology (stat.ME)symbols.namesakePhysics and Astronomy (all)0103 physical scienceslcsh:QB460-466FOS: Mathematicsinformation transferRelevance (information retrieval)Applications (stat.AP)Transfer Entropy010306 general physicsGaussian processStatistics - MethodologyState space modelstate space modelsmultivariate time series analysisredundancy and synergyvector autoregressive modelsInformation dynamicVector autoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaTransfer entropylcsh:Qlcsh:PhysicsEntropy
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Multi-temporal tectonic evolution of Capo Granitola and Sciacca foreland transcurrent faults (Sicily channel)

2019

Highlights • Seismic reflection profiles evidence tectonic inversion and active strike-slip faults offshore SW Sicily foreland • Pliocene-Quaternary transpressional inversion of Late Miocene extensional basins • Transpressional fold growth rates were high in Latest Miocene-Pliocene and decreased during Quaternary Joint analysis of high-penetration multi-channel and high-resolution single-channel seismic reflection profiles, calibrated by deep well boreholes, allowed a detailed reconstruction of the Late Miocene to Recent tectonic history of the Capo Granitola and Sciacca fault systems offshore southwestern Sicily. These two fault arrays are part of a regional system of transcurrent faults t…

Fold growth rate010504 meteorology & atmospheric sciencesLate Miocene010502 geochemistry & geophysicsNeogene01 natural sciencesTranspressionMultiscale analysiSW Sicily offshorePaleontologyStrike-slip faultBasin inversion; Fold growth rates; Multiscale analysis; Pelagian foreland; Strike-slip faults; SW Sicily offshoreBasin inversionForeland basin0105 earth and related environmental sciencesEarth-Surface Processesgeographygeography.geographical_feature_categoryAnticlineFold (geology)TectonicsGeophysicsFold and thrust beltPelagian forelandStrike-slip faultsFold growth ratesMultiscale analysisGeologyTectonophysics
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The fractal model of non-local elasticity with long-range interactions

2010

The mechanically-based model of non-local elasticity with long-range interactions is framed, in this study, in a fractal mechanics context. Non-local interactions are modelled introducing long-range central body forces between non-adjacent volume elements of the elastic continuum. Such long-range interactions are modelled as proportional to the product of interacting volumes, to the relative displacements of the centroids and to a distance-decaying function that is monotonically-decreasing with the distance. The choice of the decaying function is a key aspect of the model and it has been proved that any continuous function, strictly positive, is thermodynamically consistent and it leads to …

Fractals Multiscale Models Housdorff Dimensions Fractional CalculusSettore ICAR/08 - Scienza Delle Costruzioni
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Shear-Thinning in Oligomer Melts—Molecular Origins and Applications

2021

We investigate the molecular origin of shear-thinning in melts of flexible, semiflexible and rigid oligomers with coarse-grained simulations of a sheared melt. Entanglements, alignment, stretching and tumbling modes or suppression of the latter all contribute to understanding how macroscopic flow properties emerge from the molecular level. In particular, we identify the rise and decline of entanglements with increasing chain stiffness as the major cause for the non-monotonic behaviour of the viscosity in equilibrium and at low shear rates, even for rather small oligomeric systems. At higher shear rates, chains align and disentangle, contributing to shear-thinning. By performing simulations …

Materials sciencePolymers and Plasticsshear flowOrganic chemistrydiscontinuous Galerkin methodArticlePhysics::Fluid DynamicsViscosityMolecular dynamicsQD241-441semiflexible polymersSoft matteroligomerschemistry.chemical_classificationQuantitative Biology::BiomoleculesShear thinningsoft mattershear-thinningGeneral ChemistryPolymernon-Newtonian fluidsNon-Newtonian fluidmolecular dynamicsShear (sheet metal)Condensed Matter::Soft Condensed MatterchemistryChemical physicsShear flowheterogeneous multiscale methodsPolymers
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Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models

2017

The most common approach to assess the dynamical complexity of a time series across multiple temporal scales makes use of the multiscale entropy (MSE) and refined MSE (RMSE) measures. In spite of their popularity, MSE and RMSE lack an analytical framework allowing their calculation for known dynamic processes and cannot be reliably computed over short time series. To overcome these limitations, we propose a method to assess RMSE for autoregressive (AR) stochastic processes. The method makes use of linear state-space (SS) models to provide the multiscale parametric representation of an AR process observed at different time scales and exploits the SS parameters to quantify analytically the co…

MultidisciplinaryArticle SubjectGeneral Computer ScienceMean squared errorSeries (mathematics)Computer scienceStochastic processEntropymultiscale analysis01 natural sciencesMeasure (mathematics)lcsh:QA75.5-76.95010305 fluids & plasmasEntropy; multiscale analysisAutoregressive model0103 physical sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaState spacelcsh:Electronic computers. Computer science010306 general physicsRepresentation (mathematics)AlgorithmParametric statistics
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The Multiscale Stochastic Model of Fractional Hereditary Materials (FHM)

2013

Abstract In a recent paper the authors proposed a mechanical model corresponding, exactly, to fractional hereditary materials (FHM). Fractional derivation index 13 E [0,1/2] corresponds to a mechanical model composed by a column of massless newtonian fluid resting on a bed of independent linear springs. Fractional derivation index 13 E [1/2, 1], corresponds, instead, to a mechanical model constituted by massless, shear-type elastic column resting on a bed of linear independent dashpots. The real-order of derivation is related to the exponent of the power-law decay of mechanical characteristics. In this paper the authors aim to introduce a multiscale fractance description of FHM in presence …

Multiscale FractanceRandom modelsStochastic modellingMathematical analysisModel parametersGeneral MedicineFractional HereditarinessDashpotFractional calculusMassless particleFractional DerivativesFractional Derivatives; Fractional Hereditariness; Multiscale Fractance; Random modelsFractional HereditarineCalculusExponentNewtonian fluidLinear independenceFractional DerivativeMathematicsProcedia IUTAM
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Comparing equilibration schemes of high-molecular-weight polymer melts with topological indicators.

2021

Abstract Recent theoretical studies have demonstrated that the behaviour of molecular knots is a sensitive indicator of polymer structure. Here, we use knots to verify the ability of two state-of-the-art algorithms—configuration assembly and hierarchical backmapping—to equilibrate high-molecular-weight (MW) polymer melts. Specifically, we consider melts with MWs equivalent to several tens of entanglement lengths and various chain flexibilities, generated with both strategies. We compare their unknotting probability, unknotting length, knot spectra, and knot length distributions. The excellent agreement between the two independent methods with respect to knotting properties provides an addit…

PaperMaterials sciencemolecular knots; multiscale simulations; polymer melts; polymer modelling; topological propertiesStructure (category theory)02 engineering and technologyQuantum entanglementTopologyMultiscale Simulation Methods for Soft Matter Systemspolymer melts01 natural sciencesSpectral lineMolecular dynamicsKnot (unit)multiscale simulationsChain (algebraic topology)Consistency (statistics)0103 physical sciencesGeneral Materials Sciencepolymer modelling010306 general physicsmolecular knotschemistry.chemical_classificationPolymer021001 nanoscience & nanotechnologyCondensed Matter PhysicsMathematics::Geometric Topologychemistry0210 nano-technologytopological properties
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A multiscale approach to liquid flows in pipes I: The single pipe

2012

Abstract In the present paper we study the propagation of pressure waves in a barotropic flow through a pipe, with a possibly varying cross-sectional area. The basic model is the Saint–Venant system. We derive two multiscale models for the cases of weak and strong damping, respectively, which describe the time evolution of the piezometric head and the velocity. If the damping is weak, then the corresponding first-order hyperbolic system is linear but contains an additional integro-differential equation that takes into account the damping. In the case of strong damping, the system is nonlinear. The full and multiscale models are compared numerically; we also discuss results obtained by a lar…

PhysicsPipe flowWater hammerApplied MathematicsTime evolutionMechanicsPipe flow; Saint-Venant equations; multiscale analysis; water-hammer; pressure wavesmultiscale analysisPipe flowwater-hammerComputational MathematicsNonlinear systemHydraulic headFlow (mathematics)pressure wavesBarotropic fluidSaint-Venant equationsShallow water equationsSimulation
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