Search results for "Monte Carlo method."

showing 10 items of 1217 documents

Cellular uptake and in vitro antitumor efficacy of composite liposomes for neutron capture therapy.

2014

Background Neutron capture therapy for glioblastoma has focused mainly on the use of 10B as neutron capture isotope. However, 157Gd offers several advantages over boron, such as higher cross section for thermal neutrons and the possibility to perform magnetic resonance imaging during neutron irradiation, thereby combining therapy and diagnostics. We have developed different liposomal formulations of gadolinium-DTPA (Magnevist®) for application in neutron capture therapy of glioblastoma. The formulations were characterized physicochemically and tested in vitro in a glioma cell model for their effectiveness. Methods Liposomes entrapping gadolinium-DTPA as neutron capture agent were manufactur…

Gadolinium DTPANeutronsDrug uptakeBrain NeoplasmsResearchContrast MediaGadoliniumGliomaNeutron Capture TherapyIn Vitro TechniquesMagnetic Resonance ImagingTheranosticLiposomesTumor Cells CulturedHumansMonte Carlo MethodCell ProliferationRadiation oncology (London, England)
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GAUSSIAN EFFECTIVE POTENTIAL AND ANTIFERROMAGNETISM IN THE HUBBARD MODEL

2012

The Gaussian Effective Potential (GEP) is shown to be a useful variational tool for the study of the magnetic properties of strongly correlated electronic systems. The GEP is derived for a single band Hubbard model on a two-dimensional bi-partite square lattice in the strong coupling regime. At half-filling the antiferromagnetic order parameter emerges as the minimum of the effective potential with an accuracy which improves over RPA calculations and is very close to that achieved by Monte Carlo simulations. Extensions to other magnetic systems are discussed.

Gaussian effective potentialPhysicsHubbard modelStrongly Correlated Electrons (cond-mat.str-el)Hubbard modelGaussianMonte Carlo methodFOS: Physical sciencesOrder (ring theory)Statistical and Nonlinear PhysicsCondensed Matter PhysicsSquare latticeGaussian effective potential; antiferromagnetism; Hubbard modelCondensed Matter - Strongly Correlated Electronssymbols.namesakeantiferromagnetismsymbolsAntiferromagnetismCondensed Matter::Strongly Correlated ElectronsStrongly correlated materialStatistical physicsElectronic systemsModern Physics Letters B
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Experimental-Like Affinity Constants and Enantioselectivity Estimates from Flexible Docking

2012

Experimental-like affinity constants and enantioselectivity estimates, not predicted so far computationally, were obtained using a novel flexible modeling/docking combined strategy. The S- and R-warfarin-human serum albumin (HSA, site I) complexes were used as an interaction model. The process for a verified estimation includes the following: (i) ionized open chain forming at physiological pH (a recent focus); (ii) conformational search (molecular mechanics and Monte Carlo methods); (iii) rigid protein-flexible ligand docking (GlideXP) generating low energy paired S- and R-poses; (iv) graphical comparison against the X-ray crystal structure (unsatisfactory verification step); (v) quantum po…

General Chemical EngineeringMonte Carlo methodCrystal structureLibrary and Information SciencesCrystallography X-RayStructure-Activity RelationshipLow energyComputational chemistryHumansSerum AlbuminBinding SitesChemistryHydrogen BondingStereoisomerismInteraction modelGeneral ChemistryHydrogen-Ion ConcentrationComputer Science ApplicationsMolecular Docking SimulationKineticsResearch DesignDocking (molecular)Quantum TheoryThermodynamicsWarfarinMonte Carlo MethodAlgorithmsProtein BindingJournal of Chemical Information and Modeling
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An optimization approach for efficient management of EV parking lots with batteries recharging facilities

2013

In this paper an optimization approach to devise efficient management strategies for Electric Vehicles parking lots is proposed. A Monte Carlo approach is used to evaluate the load consumption profile for groups of Electric Vehicles showing different features. The Monte Carlo approach allows to combine the different social and economical features affecting the commercial penetration of Electric Vehicles with the technical aspects. The basic feature to be assessed is the initial State Of Charge, which in turn depends on the distance travelled by the vehicle since the last recharge and thus by the usage of the vehicle (private, professional). The model is then used to optimize some objective …

General Computer ScienceComputer scienceMonte Carlo methodSmart chargingStatistical modelComputational intelligenceGroundwater rechargeElectric vehicles managementElectric vehicles management;Simulated annealing;Smart chargingAutomotive engineeringSimulated annealingSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaState of chargeSimulated annealingSimulation
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Modelling the carbon Snoek peak in ferrite: Coupling molecular dynamics and kinetic Monte-Carlo simulations

2008

Abstract Molecular statics, molecular dynamics and kinetic Monte-Carlo are used to model the carbon Snoek peak in ferrite. Using an interatomic EAM potential for the Fe–C system, saddle point energies for the diffusion of carbon have been evaluated under uniaxial stress by molecular statics. These energies have been reintroduced in a kinetic Monte-Carlo scheme to predict the repartition of carbon atoms in different octahedral sites. This repartition leads to an anelastic deformation calculated by molecular dynamics, which causes internal friction (the Snoek peak) for cyclic stress. This approach leads to quantitative predictions of the internal friction, which are in good agreement with exp…

General Computer ScienceMonte Carlo method[ SPI.MAT ] Engineering Sciences [physics]/MaterialsGeneral Physics and AstronomyThermodynamicsInteratomic potential02 engineering and technology[SPI.MAT] Engineering Sciences [physics]/MaterialsKinetic energy7. Clean energy01 natural sciences010305 fluids & plasmas[SPI.MAT]Engineering Sciences [physics]/MaterialsCondensed Matter::Materials ScienceMolecular dynamicsSaddle point0103 physical sciencesGeneral Materials ScienceKinetic Monte CarloComputingMilieux_MISCELLANEOUSEmbedded atom modelCondensed matter physicsChemistryGeneral Chemistry021001 nanoscience & nanotechnologyComputational MathematicsMechanics of MaterialsFerrite (magnet)0210 nano-technology
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Accurate representation of the distributions of the 3D Poisson-Voronoi typical cell geometrical features

2019

Understanding the intricate and complex materials microstructure and how it is related to materials properties is an important problem in the Materials Science field. For a full comprehension of this relation, it is fundamental to be able to describe the main characteristics of the 3-dimensional microstructure. The most basic model used for approximating steel microstructure is the Poisson-Voronoi diagram. Poisson-Voronoi diagrams have interesting mathematical properties, and they are used as a good model for single-phase materials. In this paper we exploit the scaling property of the underlying Poisson process to derive the distribution of the main geometrical features of the grains for ev…

General Computer SciencePoisson-Voronoi diagramsMonte Carlo methodVoronoiGeneral Physics and Astronomy02 engineering and technology010402 general chemistryPoisson distribution01 natural sciencesParametric representationsymbols.namesakeGeneral Materials ScienceStatistical physicsRepresentation (mathematics)ScalingParametric statisticsDiagramGeneral Chemistry021001 nanoscience & nanotechnology0104 chemical sciencesComputational MathematicsDistribution (mathematics)Mechanics of Materialssymbols0210 nano-technologyVoronoi diagram3D grain sizeComputational Materials Science
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A comparison of two indirect methods for estimating average levels of gene flow using microsatellite data.

1999

We compare the performance of Nm estimates based on FST and RST obtained from microsatellite data using simulations of the stepwise mutation model with range constraints in allele size classes. The results of the simulations suggest that the use of microsatellite loci can lead to serious overestimations of Nm, particularly when population sizes are large (N5000) and range constraints are high (K20). The simulations also indicate that, when population sizes are small (N/= 500) and migration rates are moderate (Nm approximately 2), violations to the assumption used to derive the Nm estimators lead to biased results. Under ideal conditions, i.e. large sample sizes (ns/= 50) and many loci (nl/=…

Geneticseducation.field_of_studyModels GeneticPopulationEstimatorStepwise mutation modelBiologyGene flowLarge sampleGenetic differentiationGenetics PopulationSample size determinationSample SizeStatisticsMutationGeneticsMicrosatelliteAnimalseducationMonte Carlo MethodEcology Evolution Behavior and SystematicsAllelesSelection BiasMicrosatellite RepeatsMolecular ecology
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Social relations in older adults: Secular trends and longitudinal changes over a 16-year follow-up.

2010

Abstract Drawing on population studies in Finland, we investigated secular trends and longitudinal changes in social relations. The cohort comparison data comprised on 974 persons aged 65–69 years from three cohorts born between 1919 and 1939 and interviewed in 1988, 1996 and 2004. Longitudinal analyses were conducted for 635 persons aged 65–74 years over a 16-year follow-up at three measurement points. Social relations were studied on the basis of frequency seeing one's offspring, perceptions of the sufficiency of these contacts, and by asking whom the participants considered as their closest person and how often and in how many tasks they helped someone. The cohort comparisons showed that…

GerontologyMaleAgingLongitudinal studyHealth (social science)OffspringPopulationSocietal levelInterviews as TopicHumansInterpersonal RelationsLongitudinal StudieseducationFinlandAgededucation.field_of_studyAnalysis of VarianceChi-Square DistributionSocial relationSecular variationCohortFemaleFamily RelationsGeriatrics and GerontologyPsychologyGerontologyMonte Carlo MethodCohort studyFollow-Up StudiesArchives of gerontology and geriatrics
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Phase behaviour of heteronuclear dimers in three-dimensional systems—a Monte Carlo study

2008

Monte Carlo simulation in the grand canonical ensemble, the histogram reweighting technique and finite size scaling are used to study the phase behaviour of dimers in three-dimensional systems. A single molecule is composed of two segments A and B, and the bond between them cannot be broken. The phase diagrams have been estimated for a set of model systems. Different structures formed by heteronuclear dimers have been found. The results show a great variety of vapour–liquid coexistence behaviour depending on the strength of the interactions between segments.

Grand canonical ensembleHeteronuclear moleculeChemistryHistogramPhase (matter)Monte Carlo methodMoleculeGeneral Materials ScienceStatistical physicsCondensed Matter PhysicsScalingPhase diagramJournal of Physics: Condensed Matter
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Analyzing Protein-Protein Spatial-Temporal Dependencies from Image Sequences Using Fuzzy Temporal Random Sets

2008

Total Internal Reflection Fluorescence Microscopy (TIRFM) allows us to image fluorescenttagged proteins near the plasma membrane of living cells with high spatial-temporal resolution. Using TIRFM imaging of GFP-tagged clathrin endocytic proteins, areas of fluorescence are observed as overlapping spots of different sizes and durations. Standard procedures to measure protein-protein colocalization of dual labeled samples threshold the original graylevel images to segment areas covered by different proteins. This binary logic is not appropriate as it leaves a free tuning parameter which can influence the conclusions. Moreover, these procedures rely on simple statistical analysis based on corre…

Green Fluorescent ProteinsFuzzy setImage processingModels BiologicalFuzzy logicMeasure (mathematics)Fuzzy LogicProtein Interaction MappingImage Processing Computer-AssistedGeneticsComputer visionMolecular BiologyMathematicsbusiness.industryProteinsStatistical modelPattern recognitionFunction (mathematics)CovarianceClathrinEndocytosisComputational MathematicsMicroscopy FluorescenceComputational Theory and MathematicsModeling and SimulationArtificial intelligencebusinessMonte Carlo MethodRealization (probability)Journal of Computational Biology
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