Search results for "Modelli"

showing 10 items of 1866 documents

MODELLING THE DISPERSION PROPERTIES OF MASS LINEAR CHAINS: EXPERIMENTS AND SIMULATIONS

2009

We analyze and discuss the results of an experiment with the goal of revealing the phonon-like acoustic dispersion curve. The experimental apparatus consists of a sonometer and an electromagnetic driver connected to a signal generator in order to establish standing waves along a stretched metal string (a guitar string) upon which a set of beads (used normally for fishing) has been fixed. The oscillation amplitude is measured by means of a detector connected to an MBL interface. We detect the resonance frequencies as function of the wave-number and obtain the corresponding dispersion curve. The results show that deviations from linearity occur when the wavelength is comparable with the dista…

Modelling microcomputer based laboratory simulations lattice vibrations periodic media.
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Validation of models for sprays

2016

We consider complex fluids consisting of a dispersed phase (solid particles or liquid droplets) immersed in a gas. A class of models describing the dynamics of such a kind of systems is given by a system of partial differential equations where a kinetic equation, describing the dispersed phase, is coupled to a fluid equation for the background gas. The coupling is given by the drag force exerted by the gas on the dispersed phase. Within this class, we shall analyse the case where the kinetic equation is a Vlasov-type equation and the fluid equation are of Stokes or Navier-Stokes type. We shall discuss the validation problem for this class of models, i.e. the derivation of the equations of t…

Modelling spray validation of hydrodynamical modelsSettore MAT/07 - Fisica Matematica
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Modelización computacional cardiaca

2020

Resumen Las enfermedades cardiovasculares tienen en la actualidad un gran impacto social y economico y constituyen una de las principales causas de mortalidad y morbilidad. Los modelos computacionales personalizados del corazon estan demostrando ser utiles tanto para ayudar a comprender los mecanismos subyacentes a las patologias cardiacas como para optimizar su tratamiento prediciendo la respuesta del paciente. En este contexto, se ha puesto en marcha la Red Espanola de Investigacion en Modelizacion Computacional Cardiaca (V-Heart SN). El objetivo general de V-Heart SN es el desarrollo de un modelo computacional multifisico y multiescala integrado del corazon. Este objetivo general se abor…

Modelos cardiovasculares030204 cardiovascular system & hematologyPatient-specific modelsCor -- Models03 medical and health sciencesMultiscale modelling0302 clinical medicineVirtual heartMedicineMultiscale modelingModelos cardiacosModelos específicos de pacienteCardiovascular modelsModelització multiescala:Física [Àrees temàtiques de la UPC]business.industryElectromechanical modellingHemodynamicsModelos multiescalaHemodynamics modelsHemodinàmicaHeart--Models3. Good healthCardiac modelsCardiology and Cardiovascular MedicinebusinessHumanities
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Modelización computacional cardiaca

2020

[EN] Cardiovascular diseases currently have a major social and economic impact, constituting one of the leading causes of mortality and morbidity. Personalized computational models of the heart are demonstrating their usefulness both to help understand the mechanisms underlying cardiac disease, and to optimize their treatment and predict the patient's response. Within this framework, the Spanish Research Network for Cardiac Computational Modelling (VHeart-SN) has been launched. The general objective of the VHeart-SN network is the development of an integrated, modular and multiscale multiphysical computational model of the heart. This general objective is addressed through the following spe…

Modelos cardiovascularesHeart DiseasesDisease030204 cardiovascular system & hematologyPatient-specific modelsTECNOLOGIA ELECTRONICA03 medical and health sciencesMultiscale modelling0302 clinical medicineHumansMedicine03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesEconomic impact analysisModelos cardiacosModelos específicos de pacienteComputational modelCardiovascular modelsbusiness.industryModelos multiescalaHeartGeneral MedicineModular design3. Good healthCardiac modelsRisk analysis (engineering)business
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A stochastic model of mutant growth

1987

Models GeneticCell growthStochastic modellingApplied MathematicsMutantTumor cellsBiologyAgricultural and Biological Sciences (miscellaneous)Cell biologyModeling and SimulationMutationImmunologyCell DivisionProbabilityJournal of Mathematical Biology
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Modeling methods for studying post-translational and transcriptional modifying enzymes.

2012

Biological catalysis is a complex chemical process that involves not only electronic reorganization in the substrate but also the reorganization of the catalyst. This complexity is even larger in the case of post-transcriptional and post-translational modifications which may involve the interaction between two biomacromolecules. However, the development over the past decades of new computational methods and strategies is offering a detailed molecular picture of the catalytic event and a deep understanding of the mechanisms of chemical reactions in biological environments. Here we review the efforts made in the last years to model catalysis in post-transcriptional and post-translational proc…

Models MolecularChemistryProcess (engineering)Computational BiologyProteinsNanotechnologyBiochemistryAnalytical ChemistryPost translationalModelling methodsAnimalsHumansBiochemical engineeringProtein Processing Post-TranslationalCurrent opinion in chemical biology
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Indicaxanthin, a multi-target natural compound from Opuntia ficus-indica fruit: From its poly-pharmacological effects to biochemical mechanisms and m…

2019

Abstract Over the latest years phytochemical consumption has been associated to a decreased risk of both the onset and the development of a number of pathological conditions. In this context indicaxanthin, a betalain pigment from Opuntia ficus-indica fruit, has been the object of sound research. Explored, at first, for its mere antioxidant potential, Indicaxanthin is now regarded as a redox-active compound able to exert significant poly-pharmacological effects against several targets in a number of experimental conditions both in vivo and in vitro. This paper aims to provide an overview on the therapeutical effects of indicaxanthin, ranging from the anti-inflammatory to the neuro-modulatory…

Models MolecularPyridinesOpuntia ficusPhytochemicalsContext (language use)Antioxidant potential01 natural sciencesMiceStructure-Activity Relationship03 medical and health scienceschemistry.chemical_compoundMulti targetCell Line TumorNeoplasmsSettore BIO/10 - BiochimicaBetalainDrug DiscoveryAnimalsHumansCell Proliferation030304 developmental biologyInflammationIndicaxanthin Multi-target compound Poly-pharmacology Antioxidant Antiinflammatory Antitumoral Antiproliferative Neuromodulator Molecular modellingPharmacologyBiological Products0303 health sciencesDose-Response Relationship DrugMolecular StructureTraditional medicine010405 organic chemistryNatural compoundOrganic ChemistryOpuntiaGeneral MedicineAntineoplastic Agents PhytogenicSettore CHIM/08 - Chimica FarmaceuticaBetaxanthins0104 chemical sciencesMice Inbred C57BLNeuroprotective AgentsPhytochemicalchemistryBlood-Brain BarrierFruitDrug Screening Assays AntitumorIndicaxanthinEuropean Journal of Medicinal Chemistry
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A3 adenosine receptor: Homology modeling and 3D-QSAR studies

2012

Adenosine receptors (AR) belong to the superfamily of G-protein-coupled receptors (GPCRs). They are divided into four subtypes (A1, A2A, A2B, and A3) [1], and can be distinguished on the basis of their distinct molecular structures, distinct tissues distribution, and selectivity for adenosine analogs [2,3]. The hA3R, the most recently identified adenosine receptor, is involved in a variety of intracellular signaling pathways and physiological functions [4]. Expression of A3R was reported to be elevated in cancerous tissues [5], and A3 antagonists have been proposed for therapeutic treatments of cancer. The recent literature availability of crystal structure of hA2A adenosine receptor (PDB c…

Models MolecularQuantitative structure–activity relationshipReceptor Adenosine A2AAdenosine A3 Receptor AntagonistsQuantitative Structure-Activity RelationshipComputational biologyBiologyPharmacologyDrug DiscoveryMolecular dynamics simulationMaterials ChemistrymedicineHumansAmino Acid SequenceHomology modelingPhysical and Theoretical ChemistryReceptorA3 INHIBITORS HOMOLOGY MODELING 3D-QSARSpectroscopyG protein-coupled receptorA3 ReceptorBinding SitesTriazinesReceptor Adenosine A3Intracellular Signaling Peptides and ProteinsTriazolesA3 ADENOSINE RECEPTORComputer Graphics and Computer-Aided DesignAdenosine receptorAdenosineSettore CHIM/08 - Chimica FarmaceuticaPharmacophoresHomology modellingPharmacophoreProtein Bindingmedicine.drug
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Modelling the enantioresolution capability of cellulose tris(3,5-dichlorophenylcarbamate) stationary phase in reversed phase conditions for neutral a…

2018

[EN] To the best of our knowledge, the prediction of the enantioresolution ability of polysaccharides-based stationary phases in liquid chromatography for structurally unrelated compounds has not been previously reported. In this study, structural information of neutral and basic compounds is used to model their enantioresolution levels obtained from an immobilised cellulose tris(3,5-dichlorophenylcarbamate) stationary phase in reversed phase conditions. Thirty-four structurally unrelated chiral drugs and pesticides, from seven families, are studied. Categorical enantioresolution levels (RsC, 0 = no baseline enantioresolution and 1 = baseline enantioresolution) are established from the expe…

Models MolecularTrisPhenylcarbamatesEnantioresolution modelling01 natural sciencesBiochemistryAnalytical Chemistrychemistry.chemical_compoundMolecular descriptorPhase (matter)Tris(35-dichlorophenylcarbamate)MoleculeLeast-Squares AnalysisPesticidesCelluloseCelluloseChromatography High Pressure LiquidReversed phase liquid chromatographyEnantioseparationsChromatography Reverse-PhasePrincipal Component AnalysisChromatography010405 organic chemistry010401 analytical chemistryOrganic ChemistryDiscriminant partial least squaresDiscriminant AnalysisStereoisomerismGeneral MedicineReversed-phase chromatography0104 chemical scienceschemistryStationary phaseAsymmetric carbonStationary phaseJournal of Chromatography A
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Statistical Analysis of Biological Models with Uncertainty

2020

In this contribution relevant biological models, based on random differential equations, are studied. For the sake of generality, we assume that the initial condition and the biological model parameters are dependent random variables with arbitrary probability distributions. We present a general methodology that enables us to provide a full probabilistic description of the solution stochastic process for each stochastic model. The statistical analysis is performed through the calculation of the first probability function by applying the random variable transformation technique. From the first probability density function, we can calculate any one-dimensional moment of the solution, includin…

Moment (mathematics)Stochastic modellingStochastic processProbabilistic logicApplied mathematicsProbability distributionInitial value problemProbability density functionRandom variableMathematics
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