Search results for "Carlo"

showing 10 items of 1845 documents

Ettringite surface chemistry: Interplay of electrostatic and ion specificity

2011

International audience; This paper presents a detailed experimental study combined with Monte Carlo (MC) simulations within the primitive model of the physical chemistry at the ettringite-water interface over a wide range of pH and bulk conditions for which ettringite exists thanks to its solubility in aqueous solutions. Ettringite, which is an important phase in hydrated cement-based systems, bears a permanent and positive structural charge. In contrast with previous studies, electrokinetic measurements together with the careful chemical analysis of the equilibrium solutions of the dispersions have brought strong support to designate sulfate as being the ion determining the potential. Simu…

ElectrophoresisEttringiteSurface PropertiesStatic Electricity02 engineering and technology010402 general chemistryEttringite01 natural sciencesMonte Carlo simulationsIonBiomaterialschemistry.chemical_compoundElectrokinetic phenomenaColloid and Surface ChemistryPhase (matter)Computer SimulationSulfateSolubilityIonsMineralsAqueous solutionSulfatesChemistryAdsorption potentialWaterHydrogen-Ion Concentration021001 nanoscience & nanotechnologyElectrostaticsSulfate0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic Materials[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Models ChemicalChemical physicsPhysical chemistry[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]0210 nano-technologyMonte Carlo MethodJournal of Colloid and Interface Science
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Monte Carlo simulation of DNA electrophoresis

1989

This paper describes an attempt to study the electrophoresis mobility of a DNA molecule in a gel by means of a Monte Carlo simulation. We find that the electrophoresis mobility mu can be well described by the empirical equation mu v kappa 1/N + kappa 2E2 with N being the number of monomers of the model chain and E being the applied field. For small E the data can merge into the linear response result mu = kappa 1/N. The paper also discusses necessary extensions of the present approach.

ElectrophoresisPhysicsQuantitative Biology::BiomoleculesGel electrophoresis of nucleic acidsClinical BiochemistryMonte Carlo methodMarkov chain Monte CarloDNABiochemistryAnalytical ChemistryMolecular WeightHybrid Monte CarloElectrophoresissymbols.namesakeModels ChemicalsymbolsDynamic Monte Carlo methodComputer SimulationStatistical physicsGelsKappaMonte Carlo molecular modelingElectrophoresis
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Theoretical and experimental study of the role of cell-cell dipole interaction in dielectrophoretic devices: application to polynomial electrodes

2013

BACKGROUND: We aimed to investigate the effect of cell-cell dipole interactions in the equilibrium distributions in dielectrophoretic devices. METHODS: We used a three dimensional coupled Monte Carlo-Poisson method to theoretically study the final distribution of a system of uncharged polarizable particles suspended in a static liquid medium under the action of an oscillating non-uniform electric field generated by polynomial electrodes. The simulated distributions have been compared with experimental ones observed in the case of MDA-MB-231 cells in the same operating conditions. RESULTS: The real and simulated distributions are consistent. In both cases the cells distribution near the elec…

ElectrophoresisPolynomialMonte Carlo methodBiomedical EngineeringCell Communication-cell-cell dipoleMolecular physicsQuantitative Biology::Cell BehaviorBiomaterialsPolarizabilityCell Line TumorElectric fieldElectric ImpedanceElectronic engineeringHumansRadiology Nuclear Medicine and imagingPoisson DistributionElectrodesPhysicsRadiological and Ultrasound TechnologyResearchGeneral MedicineDipoleElectrophoresisDistribution (mathematics)ElectrodeMonte Carlo MethodAlgorithmsBioMedical Engineering OnLine
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Liberal and Conservative Differential Item Functioning Detection Using Mantel-Haenszel and SIBTEST: Implications for Type I and Type II Error Rates

2004

The aim of this work was to determine, in terms of Type I and Type II error rates, the risks of applying various statistical procedures for evaluating differential item functioning. To this end, the authors carried out a simulation study in which the Mantel-Haenszel and SIBTEST procedures were applied in conjunction. The variables manipulated were sample size and distribution of ability between groups. Results indicated that, although there was a high rate of agreement between the procedures, the joint Type I and Type II error rate may vary substantially from that obtained when each of the procedures was applied separately. Furthermore, the authors analyzed empirical data to obtain informat…

Empirical dataEmpirical researchSample size determinationItem analysisMonte Carlo methodStatisticsDevelopmental and Educational PsychologyEconometricsDifferential item functioningCochran–Mantel–Haenszel statisticsEducationMathematicsType I and type II errorsThe Journal of Experimental Education
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A bottom-up approach for the evaluation of the flexible quota of aggregated loads

2015

The paper presents a bottom-up approach for building the aggregated load profile of numerous passive/active users connected to the low voltage electrical system. The approach is based on the Monte Carlo method and on the knowledge of the single electric and thermal loads, generators and thermal and geometrical characteristics of the building of the single end-user. The method proposed is able to differentiate the quota of flexible and not flexible aggregate load.

EngineeringAggregate (composite)business.industryMonte Carlo methodMechanical engineeringTop-down and bottom-up designStructural engineeringLoad profileSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectric power systemFlexible loadThermalbusinessMonte CarloLow voltageBottom-up approach2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)
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An integrated model for biological and physical process simulation in membrane bioreactors (MBR).

2011

Abstract Mathematical modelling of membrane bioreactors (MBRs) for wastewater treatment has targeted either the biological processes (treatment quality target) as well as various aspects of system management. However, the high number of interactions among the involved physical–chemical processes, hampers a straightforward mathematical modelling. This circumstance is much more emphasized for submerged MBR systems where the membrane is immersed in an aeration tank. One of the main crucial points that prevents a comprehensive understanding is the interpretation of the fouling phenomenon and its connections with the biological processes. An overall mathematical model for MBR has not been comple…

EngineeringCalibration (statistics)media_common.quotation_subjectMonte Carlo methodResistanceTransmembrane pressureFiltration and Separationcomputer.software_genreBiochemistrySystems managementBioreactorASM1-SMPGeneral Materials SciencePhysical and Theoretical ChemistryProcess simulationFunction (engineering)Protocol (object-oriented programming)media_commonSMBR modellingSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryEnvironmental engineeringFoulingPilot plantBiochemical engineeringbusinesscomputer
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Stochastic seismic analysis of MDOF structures with nonlinear viscous dampers

2009

Fluid damper devices in civil structures such as buildings or bridges are commonly used as energy absorbers for seismic protection. The problem in the response analysis of structures with filled dampers mainly consists in the fact that, due to the strongly nonlinear behavior of such equipments, the response spectrum (RS) technique fails. In this paper by using the concept of power spectral density function compatible with the elastic RS and the statistical linearization technique, the equivalent damping ratio is obtained. It is shown that once the system is linearized, results obtained by Monte Carlo simulation and those obtained by stochastic analysis are in good agreement. Copyright © 200…

EngineeringDamping ratiobusiness.industryResponse analysisMonte Carlo methodSpectral densityBuilding and ConstructionStructural engineeringSeismic analysisDamperNonlinear systemMechanics of MaterialsbusinessResponse spectrumCivil and Structural EngineeringStructural Control and Health Monitoring
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Uncertainty evaluation in the measurements for the electric power quality analysis

2013

The paper deals with the uncertainty estimation in the measurements performed to assess the electric power quality. In a first steps, according to the 'ISO - Guide to Expression of the Uncertainty in Measurements' all the error sources, which give a significant contribution to the combined uncertainty associated to the measurement results, are identified. Successively, in order to analyze how the errors propagate through the measurement chain, a Monte Carlo based approach is proposed. The method exploits an ad-hoc developed simulator of the measurement process, which takes into account the particular way of propagation of all the identified error sources. Eventually, with the aim of validat…

EngineeringElectric power qualitymeasurement standardpower system measurementMeasurement uncertaintyMonte Carlo methodpower supply qualitySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciPower measurementpower quality analysisUncertainty analysisObservational errorelectric power quality analysiSeries (mathematics)business.industryProcess (computing)UncertaintyData acquisitionmeasurement uncertainty evaluationerror source identificationCurrent measurementExpression (mathematics)Reliability engineeringmeasurement systemISO standardguide to expression of the uncertainty in measurementMeasurement uncertaintybusinessad hoc developed simulatorNoiseAlgorithmSettore ING-INF/07 - Misure Elettriche E Elettronichemeasurement error
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Reliability Analysis of a Stand-Alone PV System for the Supply of a Remote Electric Load

2010

The work presents a reliability analysis of a stand-alone photovoltaic system for the supply of electric loads located in remote areas not easily reachable by the low voltage distribution network. The analysis is performed by characterizing the electric load behavior by means of a Montecarlo approach for taking into account the stochastic variability of the electrical energy demand. A Montecarlo approach is used also for evaluating the electricity production of the stand alone photovoltaic system as a function of the hourly solar irradiation of the installation site. The variability both of the load and of the energy production are correlated and the probability that the load can remain uns…

EngineeringElectrical loadbusiness.industryElectric potential energyPhotovoltaic systemStand-Alone Photovoltaic System Montecarlo Reliability.Electrical engineeringGridLine (electrical engineering)Reliability engineeringSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaReliability (semiconductor)Electricity generationbusinessLow voltage
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Comparison of different uncertainty techniques in urban stormwater quantity and quality modelling

2011

Abstract Urban drainage models are important tools used by both practitioners and scientists in the field of stormwater management. These models are often conceptual and usually require calibration using local datasets. The quantification of the uncertainty associated with the models is a must, although it is rarely practiced. The International Working Group on Data and Models, which works under the IWA/IAHR Joint Committee on Urban Drainage, has been working on the development of a framework for defining and assessing uncertainties in the field of urban drainage modelling. A part of that work is the assessment and comparison of different techniques generally used in the uncertainty assessm…

EngineeringEnvironmental Engineering* MCMCRainmedia_common.quotation_subjectBayesian probability* Parameter probability distributionBayesian inferencecomputer.software_genre* MICAsymbols.namesake* GLUEWater QualityStatistics* Bayesian inferenceComputer SimulationQuality (business)CitiesGLUEWaste Management and Disposal* Urban drainage modelWater Science and TechnologyCivil and Structural Engineeringmedia_common* SCEM-UALikelihood Functions* Multi-objective auto-calibrationSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryEcological ModelingUncertaintyMarkov chain Monte CarloModels TheoreticalPollutionMarkov ChainsRunoff model* UncertaintieMetropolis–Hastings algorithmsymbolsProbability distribution* AMALGAMData miningbusinessMonte Carlo MethodcomputerAlgorithmsSoftware
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