Search results for "MCM"

showing 10 items of 92 documents

Antibody-Capped Mesoporous Nanoscopic Materials: Design of a Probe for the Selective Chromo-Fluorogenic Detection of Finasteride

2012

[EN] The synthesis of capped mesoporous silica nanoparticles (MSN) conjugated with an antibody (AB) as a gatekeeper has been carried out in order to obtain a delivery system able to release an entrapped cargo (dye) in the presence of a target molecule (antigen) to which the conjugated antibody binds selectively. In particular, MSN loaded with rhodamine B and functionalized on the external surface with a suitable derivative of N-(t-butyl)- 3-oxo-(5a,17b)-4-aza-androst-1-ene-17-carboxamide (finasteride) have been prepared (S1). The addition of polyclonal antibodies against finasteride induced capping of the pores due to the interaction with the anchored hapten-like finasteride derivative to g…

Detection limitINGENIERIA DE LA CONSTRUCCIONAqueous solutionChromatographyQUIMICA INORGANICANanotechnologyGeneral ChemistryMesoporous silicaFull PapersMCM-41finasterideMatrix (chemical analysis)chemistry.chemical_compoundQUIMICA ORGANICAchemistryQUIMICA ANALITICAhybrid materialsFinasterideRhodamine BantibodiesSelectivityMesoporous materialmolecular gatesChemistryOpen
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Water Sorption on Mesoporous Aluminosilicate MCM-41

1995

Characterization of the interaction of water with the highly ordered mesoporous solid MCM-41 (pore diameter ∼2.5 nm) is undertaken with the aid of several techniques (adsorption gravimetry, X-ray diffraction, Fourier transform infrared spectroscopy, and controlled rate-evolved gas analysis). The relatively complex water-MCM-41 interactions are characterized by a type V isotherm indicating an initial repulsive character followed by a capillary condensation step of the adsorbate. This highlights both hydrophobic and hydrophilic properties of this potential model mesoporous adsorbent.

DiffractionChromatographyCapillary condensationChemistrySurfaces and InterfacesCondensed Matter PhysicsMesoporous organosilicaAdsorptionMCM-41Chemical engineeringAluminosilicateElectrochemistryGeneral Materials ScienceFourier transform infrared spectroscopyMesoporous materialSpectroscopyLangmuir
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Critical Appraisal of the Pore Structure of MCM-41

2006

Purely siliceous and aluminosilicate types of MCM-41 were synthesized and characterized by means of X-ray diffraction (XRD), transmission electron microscopy (TEM), nitrogen sorption (NS) and size exclusion chromatography (SEC).

DiffractionPore diameterMaterials sciencechemistryMCM-41AluminosilicateTransmission electron microscopySize-exclusion chromatographyAnalytical chemistrychemistry.chemical_elementSorptionNitrogen
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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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A Methodology for the Design of MOS Current-Mode Logic Circuits

2010

In this paper, a design methodology for the minimization of various performance metrics of MOS Current-Mode Logic (MCML) circuits is described. In particular, it allows to minimize the delay under a given power consumption, the power consumption under a given delay and the power-delay product. Design solutions can be evaluated graphically or by simple and effective automatic procedures implemented within the MATLAB environment. The methodology exploits the novel concepts of crossing-point current and crossing-point capacitance. A useful feature of it is that it provides the designer with useful insights into the dependence of the performance metrics on design variables and fan-out capacitan…

EngineeringPower–delay productbusiness.industryCircuit designFan-outMOS current-mode logic MCML low-power design power-delay productSettore ING-INF/01 - ElettronicaCapacitanceElectronic Optical and Magnetic MaterialsLow-power electronicsElectronic engineeringCurrent-mode logicElectrical and Electronic EngineeringMATLABbusinesscomputerHardware_LOGICDESIGNcomputer.programming_languageElectronic circuitIEICE Transactions on Electronics
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Adaptive independent sticky MCMC algorithms

2018

In this work, we introduce a novel class of adaptive Monte Carlo methods, called adaptive independent sticky MCMC algorithms, for efficient sampling from a generic target probability density function (pdf). The new class of algorithms employs adaptive non-parametric proposal densities which become closer and closer to the target as the number of iterations increases. The proposal pdf is built using interpolation procedures based on a set of support points which is constructed iteratively based on previously drawn samples. The algorithm's efficiency is ensured by a test that controls the evolution of the set of support points. This extra stage controls the computational cost and the converge…

FOS: Computer and information sciencesMathematical optimizationAdaptive Markov chain Monte Carlo (MCMC)Monte Carlo methodBayesian inferenceHASettore SECS-P/05 - Econometrialcsh:TK7800-8360Machine Learning (stat.ML)02 engineering and technologyBayesian inference01 natural sciencesStatistics - Computationlcsh:Telecommunication010104 statistics & probabilitysymbols.namesakeAdaptive Markov chain Monte Carlo (MCMC); Adaptive rejection Metropolis sampling (ARMS); Bayesian inference; Gibbs sampling; Hit and run algorithm; Metropolis-within-Gibbs; Monte Carlo methods; Signal Processing; Hardware and Architecture; Electrical and Electronic EngineeringGibbs samplingStatistics - Machine Learninglcsh:TK5101-67200202 electrical engineering electronic engineering information engineeringComputational statisticsMetropolis-within-GibbsHit and run algorithm0101 mathematicsElectrical and Electronic EngineeringGaussian processComputation (stat.CO)MathematicsSignal processinglcsh:Electronics020206 networking & telecommunicationsMarkov chain Monte CarloMonte Carlo methodsHardware and ArchitectureSignal ProcessingSettore SECS-S/03 - Statistica EconomicasymbolsSettore SECS-S/01 - StatisticaStatistical signal processingGibbs samplingAdaptive rejection Metropolis sampling (ARMS)EURASIP Journal on Advances in Signal Processing
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Bayesian inference for the extremal dependence

2016

A simple approach for modeling multivariate extremes is to consider the vector of component-wise maxima and their max-stable distributions. The extremal dependence can be inferred by estimating the angular measure or, alternatively, the Pickands dependence function. We propose a nonparametric Bayesian model that allows, in the bivariate case, the simultaneous estimation of both functional representations through the use of polynomials in the Bernstein form. The constraints required to provide a valid extremal dependence are addressed in a straightforward manner, by placing a prior on the coefficients of the Bernstein polynomials which gives probability one to the set of valid functions. The…

FOS: Computer and information sciencesStatistics and ProbabilityInferenceBernstein polynomialsBivariate analysisBayesian inference01 natural sciencesMethodology (stat.ME)Bayesian nonparametrics010104 statistics & probabilitysymbols.namesakeGeneralised extreme value distribution0502 economics and business62G07Applied mathematics62G05Degree of a polynomial0101 mathematicsStatistics - Methodology050205 econometrics MathematicsAngular measureMax-stable distributionGENERALISED EXTREME VALUE DISTRIBUTION EXTREMAL DEPENDENCE ANGULAR MEASURE MAX-STABLE DISTRIBUTION BERNSTEIN POLYNOMIALS BAYESIAN NONPARAMETRICS TRANS-DIMENSIONAL MCMC EXCHANGE RATEExchange rates05 social sciencesNonparametric statisticsMarkov chain Monte CarloBernstein polynomialGENERALISED EXTREME VALUE DISTRIBUTION; EXTREMAL DEPENDENCE; ANGULAR MEASURE; MAX-STABLE DISTRIBUTION; BERNSTEIN POLYNOMIALS; BAYESIAN NONPARAMETRICS; TRANS-DIMENSIONAL MCMC; EXCHANGE RATETrans-dimensional MCMCEXCHANGE RATEsymbolsStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaMaximaExtremal dependence62G32Electronic Journal of Statistics
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Confined growth of carbon nanoforms in one-dimension by fusion of anthracene rings inside the pores of MCM-41

2014

We report a simple two-step procedure that uses anthracene, a cheap polyaromatic hydrocarbon with low melting point, as a molecular precursor to produce carbon nanoforms (CNFs). First, we describe the chemical synthesis of graphite from the fusion of anthracene rings at relatively low temperature (520 °C) followed by cyclodehydrogenation. Next, we extend this protocol to the synthesis of CNFs by confining the molecular precursor in a mesoporous host like MCM-41. The confined environment favors one-dimensional growth of CNFs with sizes controlled by the pores of the mesoporous host.

FusionAnthraceneMaterials scienceLow melting pointchemistry.chemical_elementNanotechnologyChemical synthesischemistry.chemical_compoundChemical engineeringchemistryMCM-41General Materials ScienceGraphiteMesoporous materialCarbonNanoscale
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Dominant-negative FADD rescues the in vivo fitness of a cytomegalovirus lacking an anti-apoptotic viral gene

2008

ABSTRACT Genes that inhibit apoptosis have been described for many DNA viruses. Herpesviruses often contain even more than one gene to control cell death. Apoptosis inhibition by viral genes is postulated to contribute to viral fitness, although a formal proof is pending. To address this question, we studied the mouse cytomegalovirus (MCMV) protein M36, which binds to caspase-8 and blocks death receptor-induced apoptosis. The growth of MCMV recombinants lacking M36 (ΔM36) was attenuated in vitro and in vivo. In vitro, caspase inhibition by zVAD-fmk blocked apoptosis in ΔM36-infected macrophages and rescued the growth of the mutant. In vivo, ΔM36 infection foci in liver tissue contained sign…

Genes ViralFas-Associated Death Domain ProteinvirusesImmunologyMutantCytomegalovirusCellular Response to InfectionApoptosisMicrobiologyVirusCell LineMiceIn vivoVirologyAnimalsFADDCaspaseDNA PrimersGenes DominantMice Inbred BALB CBase Sequencebiologyanti-apoptotic viral geneBIOMEDICINE AND HEALTHCARE. Basic Medical Sciences.MCMV; FADD; anti-apoptotic viral geneFlow CytometryMolecular biologyMice Inbred C57BLViral replicationApoptosisVirion assemblyInsect ScienceFADDbiology.proteinBIOMEDICINA I ZDRAVSTVO. Temeljne medicinske znanosti.MCMV
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Comparative cytotoxic study of silica materials functionalised with essential oil components in HepG2 cells

2020

[EN] This work evaluated the cytotoxic effect of different EOCs-functionalised silica particle types. The in vitro toxicity of eugenol and vanillin-immobilised SAS, MCM-41 microparticles and MCM-41 nanoparticles was evaluated on HepG2 cells, and compared to free EOCs and pristine materials. The results revealed that free essential oil components and bare silica had a mild cytotoxic effect on HepG2 cells. However, the comparative study showed that free eugenol and vanillin had a milder cytotoxic effect than the equivalent concentrations of immobilised components on the different silica particles, while differences in cell viability between the bare and functionalised particles relied on the …

HepG2TECNOLOGIA DE ALIMENTOSCell SurvivalCytotoxicityNanoparticleToxicologyMCM-41law.invention03 medical and health scienceschemistry.chemical_compoundInhibitory Concentration 500404 agricultural biotechnologyMCM-41Microscopy Electron TransmissionlawEugenolOils VolatileCytotoxic T cellHumansCytotoxicityEssential oil030304 developmental biology0303 health sciencesDose-Response Relationship DrugVanillinCationic polymerizationSilica04 agricultural and veterinary sciencesGeneral MedicineHep G2 CellsSilicon Dioxide040401 food scienceEugenolchemistryBenzaldehydesVanillinNanoparticlesFood ScienceNuclear chemistry
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