Search results for "MCM"

showing 10 items of 92 documents

Direct oxidation of isobutane to methacrolein over V-MCM-41 catalysts

2004

High vanadium content mesoporous vanado-silicates with MCM-41-like structure, obtained by the atrane route, catalyse the direct oxidation of isobutane to methacrolein with 30% selectivity, and a total dehydrogenation (olefin plus methacrolein) selectivity up to 74%.

Olefin fiberInorganic chemistryVanadiumchemistry.chemical_elementMethacroleinGeneral ChemistryCatalysischemistry.chemical_compoundchemistryAtraneMCM-41IsobutaneOrganic chemistryDehydrogenationSelectivityCatalysis Today
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Spatial Bayesian Modeling of Presence-only Data

2011

Settore ING-IND/09 - Sistemi per l'Energia e L'AmbienteData augmentationMCMCPresence-only dataBayesian modelSpatial distributionBayesian model Data augmentation MCMC Presence-only data Spatial distribution.Bayesian model; Data augmentation; MCMC; Presence-only data; Spatial distribution.
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Particle Group Metropolis Methods for Tracking the Leaf Area Index

2020

Monte Carlo (MC) algorithms are widely used for Bayesian inference in statistics, signal processing, and machine learning. In this work, we introduce an Markov Chain Monte Carlo (MCMC) technique driven by a particle filter. The resulting scheme is a generalization of the so-called Particle Metropolis-Hastings (PMH) method, where a suitable Markov chain of sets of weighted samples is generated. We also introduce a marginal version for the goal of jointly inferring dynamic and static variables. The proposed algorithms outperform the corresponding standard PMH schemes, as shown by numerical experiments.

Signal processing010504 meteorology & atmospheric sciencesMarkov chainGeneralizationComputer scienceBayesian inferenceMonte Carlo method020206 networking & telecommunicationsMarkov chain Monte Carlo02 engineering and technologystate-space modelsTracking (particle physics)Bayesian inference01 natural sciencesParticle FilteringStatistics::Computationsymbols.namesake0202 electrical engineering electronic engineering information engineeringsymbolsParticle MCMCParticle filterMonte CarloAlgorithm0105 earth and related environmental sciences
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Degradation of silica particles functionalised with essential oil components under simulated physiological conditions

2020

[EN] In this work, the biodurability of three silica particle types (synthetic amourphous silica, MCM-41 microparticles, MCM-41 nanoparticles) functionalised with three different essential oil components (carvacrol, eugenol, vanillin) was studied under conditions that represented the human gastrointestinal tract and lysosomal fluid. The effect of particle type, surface immobilised component and mass quantity on the physico-chemical properties of particles and silicon dissolution was determined. Exposure to biological fluids did not bring about changes in the zeta potential values or particle size distribution of the bare or functionalised materials, but the in vitro digestion process partia…

SiliconEnvironmental EngineeringSiliconTECNOLOGIA DE ALIMENTOSHealth Toxicology and Mutagenesis0211 other engineering and technologieschemistry.chemical_elementNanoparticle02 engineering and technology010501 environmental sciencesMCM-4101 natural scienceschemistry.chemical_compoundMCM-41Zeta potentialOils VolatileEnvironmental ChemistryHumansSolubilityParticle SizeWaste Management and DisposalDissolution0105 earth and related environmental sciences021110 strategic defence & security studiesVanillinArtificial lysosomal fluidIn vitro digestionSilicaSilicon DioxidePollutionFunctionalisationchemistryChemical engineeringSolubilityParticle-size distributionNanoparticles
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Bayesian hierarchical models in manufacturing bulk service queues

2006

In this paper, Queueing Theory and Bayesian statistical tools are used to analyze the congestion of various manufacturing bulk service queues with the same characteristics that are working independently of one another and in equilibrium. Hierarchical models are discussed in order to develop the whole inferential process for the parameters governing the system. Markov Chain Monte Carlo methods and numerical inversion of transforms are addressed to compute the posterior predictive distributions of the usual measures of performance in practice.

Statistics and ProbabilityQueueing theoryMathematical optimizationApplied MathematicsBayesian probabilityPosterior probabilityInversion (meteorology)Markov chain Monte CarloHierarchical database modelsymbols.namesakesymbolsEconometricsStatistics Probability and UncertaintyQueueMcmc algorithmMathematicsJournal of Statistical Planning and Inference
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Contributed discussion on article by Pratola

2016

The author should be commended for his outstanding contribution to the literature on Bayesian regression tree models. The author introduces three innovative sampling approaches which allow for efficient traversal of the model space. In this response, we add a fourth alternative.

Statistics and Probabilitymodel selectionMarkov Chain Monte Carlo (MCMC)Bayesian regression treeComputer scienceBig dataBayesian regression tree (BRT) modelsComputingMilieux_LEGALASPECTSOFCOMPUTINGbirth–death processMachine learningcomputer.software_genreSequential Monte Carlo methods01 natural sciencespopulation Markov chain Monte Carlo010104 statistics & probabilitysymbols.namesakebig data0502 economics and businessBayesian Regression Trees (BART)0101 mathematics050205 econometrics Bayesian treed regressionMultiple Try Metropolis algorithmsINFERÊNCIA ESTATÍSTICAbusiness.industryApplied MathematicsModel selection05 social sciencesRejection samplingData scienceVariable-order Bayesian networkTree (data structure)Tree traversalMarkov chain Monte Carlocontinuous time Markov processsymbolsArtificial intelligencebusinessBayesian linear regressioncommunication-freecomputerGibbs samplingBayesian Analysis
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MCM-41 silica effect on gel polymer electrolytes based on thermoplastic polyurethane

2012

Abstract Polymer electrolytes were prepared from thermoplastic polyurethane with addition of mixture of N-ethyl(methylether)-N-methylpyrrolidinium trifluoromethanesulfonimide (PYRA12O1TFSI) ionic liquid, lithium bis(trifluoromethanesulfoneimide) salt and propylene carbonate. MCM-41 mesoporous silica was added in proportions ranging from 5 to 20 wt.% with respect to TPU. The electrolytes were characterized by thermogravimetric analysis, differential scanning calorimetry, linear voltammetry and impedance spectroscopy. The MCM-41 addition to the system was found to improve the electrochemical stability of the membranes and to reduce the gel electrolyte/metallic Li interfacial resistance. The f…

Thermogravimetric analysisMCM-41 mesoporous silicaMaterials scienceGeneral Chemical EngineeringLithium batterieThermoplastic polyurethaneImpedance spectroscopyElectrolyteLithium batteries Thermoplastic polyurethane Ionic liquid MCM-41 mesoporous silica Impedance spectroscopyIonic liquidMesoporous silicaDielectric spectroscopyThermoplastic polyurethanechemistry.chemical_compoundDifferential scanning calorimetryLithium batterieschemistryChemical engineeringIonic liquidPropylene carbonatePolymer chemistryElectrochemistrySettore CHIM/02 - Chimica FisicaElectrochimica Acta
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Characterization and utilization of MFI zeolites and MCM-41 materials for gaseous pollutant adsorption

1999

Physisorption of n-hexane, trichloroethylene, tetrachloroethylene, carbon and nitrogen oxides on a microporous ZSM-5 (Si/Al=339) zeolite and an amorphous mesoporous MCM-41 (Si/Al=∞) sample was examined by isothermal thermogravimetry, manometry and calorimetry to evaluate the feasibility of using these porous materials for gaseous pollutant adsorption at room temperature. The adsorbents showed very interesting adsorption properties for hydrocarbons. ZSM-5 exhibited the strongest adsorption affinity and MCM-41 showed the largest adsorption capacity. Another main feature in this work was to observe a stepped-isotherm for the adsorption of C2Cl4 on ZSM-5. Such a substep located at very low rela…

ThermogravimetryAdsorptionMCM-41PhysisorptionChemistryInorganic chemistryMicroporous materialMesoporous materialZeoliteMolecular sieve
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Flexible Bayesian survival models with application in biometric studies

2018

El análisis de supervivencia es una metodología estadística diseñada para analizar datos procedentes de estudios científicos relativos a tiempos de ocurrencia de uno o varios eventos de interés. La duración de estos tiempos suele conocerse como tiempos de supervivencia debido a los particulares orígenes de esta metodología en contextos exclusivamente médicos y demográficos. Durante las últimas décadas, la literatura científica en este campo ha sido muy prolífica y su aplicación se ha extendido a múltiples áreas de conocimiento. Los procedimientos estadísticos propios de esta metodología empezaron a abordarse desde el marco inferencial frecuentista. Sin embargo, en los últimos años la utiliz…

UNESCO::MATEMÁTICAS::Estadística ::Otrasinlamcmc:MATEMÁTICAS::Estadística ::Análisis de datos [UNESCO]:MATEMÁTICAS::Estadística ::Otras [UNESCO]bayesian inferencecorrelated priors:MATEMÁTICAS::Estadística ::Técnicas de inferencia estadística [UNESCO]UNESCO::MATEMÁTICAS::Estadística ::Técnicas de inferencia estadísticacox modelUNESCO::MATEMÁTICAS::Estadística ::Análisis de datossurvival analysis
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Surfaces of minimal degree of tame representation type and mutations of Cohen–Macaulay modules

2017

We provide two examples of smooth projective surfaces of tame CM type, by showing that any parameter space of isomorphism classes of indecomposable ACM bundles with fixed rank and determinant on a rational quartic scroll in projective 5-space is either a single point or a projective line. For surfaces of minimal degree and wild CM type, we classify rigid Ulrich bundles as Fibonacci extensions. For the rational normal scrolls S(2,3) and S(3,3), a complete classification of rigid ACM bundles is given in terms of the action of the braid group in three strands.

[ MATH ] Mathematics [math]Pure mathematicsFibonacci numberGeneral MathematicsType (model theory)Rank (differential topology)Commutative Algebra (math.AC)01 natural sciencesMathematics - Algebraic GeometryACM bundlesVarieties of minimal degreeMathematics::Algebraic Geometry0103 physical sciencesFOS: MathematicsMathematics (all)Rings0101 mathematics[MATH]Mathematics [math]Algebraic Geometry (math.AG)MathematicsDiscrete mathematics14F05 13C14 14J60 16G60010102 general mathematicsVarietiesMCM modulesACM bundles; MCM modules; Tame CM type; Ulrich bundles; Varieties of minimal degree; Mathematics (all)Ulrich bundlesMathematics - Commutative AlgebraQuintic functionElliptic curveTame CM typeProjective lineBundles010307 mathematical physicsIsomorphismIndecomposable moduleMSC: 14F05; 13C14; 14J60; 16G60
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