Search results for " Simulation"

showing 10 items of 4034 documents

Head, chest and femur injury in teenage pedestrian–SUV crash; mass influence on the speeds

2018

This work studies the teenage pedestrian–sport utility vehicle (SUV) crash; injury to the vital parts of the body, such as the head and chest, and to the femur is evaluated. More advanced injury criteria are applied, as provided in the rules. The multibody technique is applied by making use of SimWise software and of the teenager anthropomorphic model, the use of which is now consolidated. Head injury criterion (HIC) is used for the head, thoracic trauma index (TTI) criterion for the thorax in the case of side impact and 3 ms criterion in the case of frontal impact, while the force criterion is used for the femur. Both the TTI and femur load evaluation require non-substantial modifications…

ThoraxOrthodontics050210 logistics & transportationSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryMechanical Engineering05 social sciencesaccident reconstruction; active safety systems; passenger safety/crashworthiness: multi-body dynamics; road safety; vehicle safety systems; vehicle simulation/modellingAerospace EngineeringCrash02 engineering and technologyPedestrianAccident reconstruction active safety systems passenger safety/crashworthiness: multi-body dynamics road safety vehicle safety systems vehicle simulation/modellingSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020303 mechanical engineering & transports0203 mechanical engineering0502 economics and businessVehicle safetyMedicineHead (vessel)FemurbusinessActive safety systemsProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
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Critical behavior of a tumor growth model: directed percolation with a mean-field flavor.

2012

We examine the critical behaviour of a lattice model of tumor growth where supplied nutrients are correlated with the distribution of tumor cells. Our results support the previous report (Ferreira et al., Phys. Rev. E 85, 010901 (2012)), which suggested that the critical behaviour of the model differs from the expected Directed Percolation (DP) universality class. Surprisingly, only some of the critical exponents (beta, alpha, nu_perp, and z) take non-DP values while some others (beta', nu_||, and spreading-dynamics exponents Theta, delta, z') remain very close to their DP counterparts. The obtained exponents satisfy the scaling relations beta=alpha*nu_||, beta'=delta*nu_||, and the general…

Time FactorsBiophysicsFOS: Physical sciencesModels BiologicalDiffusionNeoplasmsHumansComputer SimulationScalingCondensed Matter - Statistical MechanicsMathematical physicsMathematicsCell ProliferationProbabilityLattice model (finance)Statistical Mechanics (cond-mat.stat-mech)Condensed matter physicsNeovascularization PathologicRenormalization groupModels TheoreticalDirected percolationDistribution (mathematics)Mean field theoryExponentBlood VesselsCritical exponentMonte Carlo MethodAlgorithmsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Functional Brain Segmentation Using Inter-Subject Correlation in fMRI

2016

The human brain continuously processes massive amounts of rich sensory information. To better understand such highly complex brain processes, modern neuroimaging studies are increasingly utilizing experimental setups that better mimic daily‐life situations. A new exploratory data‐analysis approach, functional segmentation inter‐subject correlation analysis (FuSeISC), was proposed to facilitate the analysis of functional magnetic resonance (fMRI) data sets collected in these experiments. The method provides a new type of functional segmentation of brain areas, not only characterizing areas that display similar processing across subjects but also areas in which processing across subjects is h…

Time FactorsComputer science0302 clinical medicinetoiminnallinen magneettikuvausImage Processing Computer-AssistedCluster AnalysisSegmentationResearch Articlesinter-subject variabilityBrain Mappingshared nearest-neighborgraphmedicine.diagnostic_test05 social sciencesBrainHuman brainMiddle AgedMagnetic Resonance Imagingmedicine.anatomical_structurefunctional segmentationGaussian mixture modelGraph (abstract data type)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beinginter-subject correlationAlgorithmsAdultshared nearest-neighbor graphModels NeurologicalSensory system050105 experimental psychology03 medical and health sciencesYoung AdultNeuroimagingSDG 3 - Good Health and Well-beingmedicineHumans0501 psychology and cognitive sciencesComputer SimulationCluster analysishuman brainCommunicationbusiness.industryMagnetic resonance imagingPattern recognitionfunctional magnetic resonance imagingOxygenAffinity propagationnaturalistic stimulationArtificial intelligencebusiness030217 neurology & neurosurgery
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A method for the time-varying nonlinear prediction of complex nonstationary biomedical signals

2009

A method to perform time-varying (TV) nonlinear prediction of biomedical signals in the presence of nonstationarity is presented in this paper. The method is based on identification of TV autoregressive models through expansion of the TV coefficients onto a set of basis functions and on k -nearest neighbor local linear approximation to perform nonlinear prediction. The approach provides reasonable nonlinear prediction even for TV deterministic chaotic signals, which has been a daunting task to date. Moreover, the method is used in conjunction with a TV surrogate method to provide statistical validation that the presence of nonlinearity is not due to nonstationarity itself. The approach is t…

Time FactorsComputer scienceSpeech recognitionChaoticBiomedical EngineeringBasis functionModels BiologicalSurrogate dataYoung AdultHeart RatePredictive Value of TestsNonstationary signalHumansComputer SimulationEEGPredictabilitySignal processingNonlinear dynamicElectroencephalographySignal Processing Computer-AssistedComplexityLocal nonlinear predictionNonlinear systemNonlinear DynamicsAutoregressive modelData Interpretation StatisticalSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear approximationSurrogate dataAlgorithmHeart rate variability (HRV)Algorithms
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Inter-Model Consistency and Complementarity: Learning from ex-vivo Imaging and Electrophysiological Data towards an Integrated Understanding of Cardi…

2011

International audience; Computational models of the heart at various scales and levels of complexity have been independently developed, parameterised and validated using a wide range of experimental data for over four decades. However, despite remarkable progress, the lack of coordinated efforts to compare and combine these computational models has limited their impact on the numerous open questions in cardiac physiology. To address this issue, a comprehensive dataset has previously been made available to the community that contains the cardiac anatomy and fibre orientations from magnetic resonance imaging as well as epicardial transmembrane potentials from optical mapping measured on a per…

Time FactorsComputer scienceSwine[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingBiophysics030204 cardiovascular system & hematologyIn Vitro Techniquescomputer.software_genreModels BiologicalBiophysical PhenomenaPersonalizationMembrane PotentialsDiffusionPurkinje Fibers03 medical and health sciences0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingOptical mappingMaximum a posteriori estimation[INFO.INFO-IM]Computer Science [cs]/Medical ImagingAnimalsMolecular Biology030304 developmental biology0303 health sciencesComputational modelCardiac electrophysiologybusiness.industryBiophysical PhenomenaExperimental dataReproducibility of ResultsHeartMagnetic Resonance Imaging[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationElectrophysiological PhenomenaSystems IntegrationSystem integrationArtificial intelligenceData miningbusinesscomputerPericardium[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Separate and combined sewer systems: a long-term modelling approach

2009

Sewer systems convey mostly dry weather flow, coming from domestic and industrial sanitary sewage as well as infiltration flow, and stormwater due to meteoric precipitations. Traditionally, in urban drainage two types of sewer systems are adopted: separate and combined sewers. The former convey dry and wet weather flow separately into two different networks, while the latter convey dry and wet weather flow together. Which is the best solution in terms of cost-benefit analysis still remains a controversial subject. The present study was aimed at comparing the pollution loads discharged to receiving bodies by Wastewater Treatment Plant (WWTP) and Combined Sewer Overflow (CSO) for different ki…

Time FactorsEnvironmental EngineeringRainStormwaterSewageComputer SimulationSanitary sewerDrainagewastewater treatment plantWater Science and TechnologyHydrologyseparate sewer systemFourier AnalysisSewageSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryDrainage SanitarySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEnvironmental engineeringModels TheoreticalInfiltration (hydrology)WastewaterEnvironmental sciencewater quality managementSewage treatmentCombined sewerbusinessWater Pollutants Chemicalmathematical modelWater Science and Technology
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Acoustic methods for measuring the porosities of porous materials incorporating dead-end pores

2013

International audience; The acoustic properties of porous materials containing dead-end (DE) pores have been proposed by Dupont et al. [J. Appl. Phys. 110, 094903 (2011)]. In the theoretical description, two physical parameters were defined (the dead-end porosity and the average length of the dead-end pores). With the knowledge of the open porosity (measured with non-acoustic methods), and the measurement of kinematic porosity (also called the Biot porosity in this article), it is possible to deduce the dead-end porosity. Two acoustic methods for measuring the Biot porosity for a wide range of porosities are proposed. These methods are based on acoustic transmission and on the low and high …

Time FactorsMaterials scienceAcoustics and Ultrasonics02 engineering and technologyLow frequency01 natural sciencesMotionViscosityBiot porosityArts and Humanities (miscellaneous)0103 physical sciencesPressureComputer SimulationUltrasonicsTransmission coefficientComposite materialPorosity010301 acoustics[ PHYS.MECA.ACOU ] Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph][SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]Biot numberViscosity[ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph]transmission tubeReproducibility of ResultsSignal Processing Computer-AssistedAcousticsEquipment DesignModels Theoretical021001 nanoscience & nanotechnology[PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph]SoundUltrasonic sensorPhase velocity0210 nano-technologyPorous mediumPorosityporous materials
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Equilibrium coverage fluctuations: a new approach to quantify reversible adsorption of proteins.

2005

Time FactorsProtein ConformationKineticsBiophysicsBiosensing TechniquesModels BiologicalAdsorptionAb initio quantum chemistry methodsComputational chemistryElectrochemistryComputer SimulationPhysical and Theoretical ChemistryChemistryReversible adsorptionChemistry PhysicalProteinsSurface Plasmon ResonanceAtomic and Molecular Physics and OpticsNanostructuresKineticsSpectrophotometryAdsorptionStress MechanicalPeptidesMonte Carlo MethodAlgorithmsProtein BindingChemphyschem : a European journal of chemical physics and physical chemistry
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First-principles simulations of hydrogen peroxide formation catalyzed by small neutral gold clusters.

2009

Energetics and dynamical pathways for hydrogen peroxide formation from H(2) and O(2) bound to neutral gold dimers and tetramers have been investigated by applying several strategies: T = 0 K geometry optimizations, constrained Car-Parrinello molecular dynamics simulations at T = 300 K and metadynamics at T = 300 K. The competing reaction channels for water and hydrogen peroxide formation have been found and characterized. In each case, the reaction barriers for Au cluster catalyzed proton transfer are less than 1 eV. Water formation is a competitive reaction channel, and the relative weight of H(2)O and H(2)O(2) products may depend on the chosen Au cluster size. Dynamic simulations demonstr…

Time FactorsProtonDimerGeneral Physics and AstronomyCatalysisCatalysischemistry.chemical_compoundMolecular dynamicsTransition metalComputational chemistryCluster (physics)Computer SimulationPhysical and Theoretical ChemistryHydrogen peroxideModels StatisticalChemistryChemistry PhysicalMetadynamicsTemperatureWaterHydrogen PeroxideChemical physicsEnvironmental PollutantsGoldProtonsDimerizationPhysical chemistry chemical physics : PCCP
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Global retention models and their application to the prediction of chromatographic fingerprints

2020

Abstract The resolution of samples containing unknown compounds of different nature, or without standards available, as is the case of chromatographic fingerprints, is still a challenge. Possibly, the most problematic aspect that prevents systematic method development is finding models that describe without bias the retention behaviour of the compounds in the samples. In this work, the use of global models (able to describe the whole sample) is proposed as an alternative to the use of individual models for each solute. Global models contain parameters that are specific for each solute, while other parameters ‒related to the column and solvent‒ are common for all solutes. A special regressio…

Time FactorsResolution (mass spectrometry)Predictive capability010402 general chemistry01 natural sciencesBiochemistryHigh-performance liquid chromatographyAnalytical ChemistryComputer SimulationChromatographySulfonamidesChromatographyPlant ExtractsChemistryElution010401 analytical chemistryOrganic ChemistryChamomileWaterGeneral MedicineModels TheoreticalReference StandardsMethod development0104 chemical sciencesRegression AnalysisGradient elutionAlgorithmsJournal of Chromatography A
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