Search results for " method"

showing 10 items of 10455 documents

Monte carlo studies of phase transitions in polymer blends and block copolymer melts

1994

The unmixing transition of both symmetrical polymer blends AB (i.e. chain lengthsNA=NB=N) and asymmetrical ones (NB/NA=2,3) is studied by large-scale Monte Carlo simulations of the bond fluctuation model. Combination of semi-grand-canonical simulation techniques, «histogram reweighting» and finitesize scaling allows an accurate location of the coexistence curve in the critical region. The variation of the critical temperature with chain length (N) is studied and compared to theoretical predictions. For the symmetrical case, use of chain lengths up toN=512 allows a rough estimation of crossover scaling functions for the crossover from Ising to mean-field exponents. The order-disorder transit…

BinodalPhase transitionMaterials scienceChain (algebraic topology)Vacancy defectMonte Carlo methodGeneral Physics and AstronomyThermodynamicsIsing modelStatistical physicsPolymer blendScalingIl Nuovo Cimento D
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Liquid-vapour phase behaviour of a symmetrical binary fluid mixture

1998

Using Monte-Carlo simulation and mean field calculations, we study the liquid-vapour phase diagram of a square well binary fluid mixture as a function of a parameter $\delta$ measuring the relative strength of interactions between particles of dissimilar and similar species. The results reveal a rich variety of liquid-vapour coexistence behaviour as $\delta$ is tuned. Specifically, we uncover critical end point behaviour, a triple point involving a vapour and two liquids of different density, and tricritical behaviour. For a certain range of $\delta$, the mean field calculations also predict a `hidden' (metastable) liquid-vapour binodal.

BinodalPhysicsStatistical Mechanics (cond-mat.stat-mech)Triple pointMonte Carlo methodThermodynamicsFOS: Physical sciencesFunction (mathematics)Condensed Matter::Soft Condensed MatterPhysics::Fluid DynamicsTricritical pointMetastabilityPhase (matter)Condensed Matter - Statistical MechanicsPhase diagram
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The droplet evaporation/condensation transition in a finite volume

2003

A fluid in the NVT ensemble at T less than the critical temperature T_c and rho = N/V somewhat in excess of rho_coex (density of the saturated gas in the gas-liquid transition) is considered. For V->infinity, a macroscopic liquid droplet coexists with surrounding saturated gas according to the lever rule. For finite V, droplets can only exist if they exceed a minimum size. A (rounded) first order transition of the system occurs when the droplet evaporates into the supersaturated gas.Simulation evidence for this transition is given for a Lennard-Jones model and interpreted by a phenomenological theory. At the transition, the chemical potential difference mu_t-mu_coex scales like L^(-d/(d+…

BinodalPhysicsSupersaturationFinite volume methodStatistical Mechanics (cond-mat.stat-mech)CondensationThermodynamicsFOS: Physical sciencesStatistical mechanicsCondensed Matter - Soft Condensed MatterPhysics::Fluid DynamicsVolume (thermodynamics)Vapor–liquid equilibriumSoft Condensed Matter (cond-mat.soft)Lever ruleCondensed Matter - Statistical Mechanics
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Efficient prediction of thermodynamic properties of quadrupolar fluids from simulation of a coarse-grained model: the case of carbon dioxide.

2008

Monte Carlo simulations are presented for a coarse-grained model of real quadrupolar fluids. Molecules are represented by particles interacting with Lennard-Jones forces plus the thermally averaged quadrupole-quadrupole interaction. The properties discussed include the vapor-liquid coexistence curve, the vapor pressure along coexistence, and the surface tension. The full isotherms are also accessible over a wide range of temperatures and densities. It is shown that the critical parameters (critical temperature, density, and pressure) depend almost linearly on a quadrupolar parameter q=Q(*4)T*, where Q* is the reduced quadrupole moment of the molecule and T* the reduced temperature. The mode…

BinodalSurface tensionReduced propertiesLennard-Jones potentialChemistryVapor pressureMoment (physics)Monte Carlo methodGeneral Physics and AstronomyThermodynamicsPhysical and Theoretical ChemistryPerturbation theoryThe Journal of chemical physics
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A hydrodynamic water quality model for propagation of pollutants in rivers.

2010

Numerical modelling can be a useful tool to assess a receiving water body's quality state. Indeed, the use of mathematical models in river water quality management has become a common practice to show the cause-effect relationship between emissions and water body quality and to design as well as assess the effectiveness of mitigation measures. In the present study, a hydrodynamic river water quality model is presented. The model consists of a quantity and a quality sub-model. The quantity sub-model is based on the Saint Venant equations. The solution of the Saint Venant equations is obtained by means of an explicit scheme based on space-time conservation. The method considers the unificatio…

Biochemical oxygen demandState variableEnvironmental EngineeringQuality managementpollution propagationSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleMathematical modelAdvectionadvectionSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEnvironmental engineeringModels TheoreticalItalyRiversData qualityEnvironmental sciencedispersionWater qualityunsteady flowShallow water equationsMonte Carlo MethodWater Pollutants Chemicalreceiving streamWater Science and TechnologyEnvironmental MonitoringWater science and technology : a journal of the International Association on Water Pollution Research
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Multiscale modeling on biological systems

2018

Biochemistry & Molecular Biology010304 chemical physicsComputer scienceManagement scienceBiophysicsMEDLINE02 engineering and technologyCell BiologyModels TheoreticalMedical Biochemistry and MetabolomicsMOLECULAR BIOLOGY METHODS01 natural sciencesBiochemistryMultiscale modelingMedicinal and Biomolecular ChemistryTheoreticalModels0103 physical sciences0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingBiochemistry and Cell BiologyMolecular BiologyIntroductory Journal ArticleBiochemical and Biophysical Research Communications
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MicroRNA Interaction Networks

2021

La tesi di Giorgio Bertolazzi è incentrata sullo sviluppo di nuovi algoritmi per la predizione dei legami miRNA-mRNA. In particolare, un algoritmo di machine-learning viene proposto per l'upgrade del web tool ComiR; la versione originale di ComiR considerava soltanto i siti di legame dei miRNA collocati nella regione 3'UTR dell'RNA messaggero. La nuova versione di ComiR include nella ricerca dei legami la regione codificante dell'RNA messaggero. Bertolazzi’s thesis focuses on developing and applying computational methods to predict microRNA binding sites located on messenger RNA molecules. MicroRNAs (miRNAs) regulate gene expression by binding target messenger RNA molecules (mRNAs). Therefo…

BioinformaticSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimachine learningTranscriptomicSettore BIO/10 - Biochimicacomputational methodnetworkSettore ING-INF/06 - Bioingegneria Elettronica E Informaticasequence analysiSettore BIO/11 - Biologia Molecolare
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Electronic aspects of the hydride transfer mechanism. Ab initio analytical gradient studies of the cyclopropenyl‐cation/lithium hydride model reactan…

1985

The electronic mechanisms of a model hydride transfer reaction are theoretically studied with ab inito RHF and UHF SCF MO procedures at the 4‐31G basis set level and analytical gradient methods. The model system describes the reduction of cyclopropenyl cation to cyclopropene by the oxidation of lithium hydride to lithium cation. The molecular fragments corresponding to the asymptotic reactive channels characterizing the stepwise mechanisms currently discussed in the literature have been characterized. The binding energy between the fragments is estimated within a simple electrostatic approximate scheme. The results show that a hydride‐ion mechanism is a likely pathway for this particular sy…

Biological MaterialsAb initioGeneral Physics and Astronomychemistry.chemical_elementchemistry.chemical_compoundElectron transferAb initio quantum chemistry methodsComputational chemistry:FÍSICA [UNESCO]CationsRedox ProcessPhysical and Theoretical ChemistryTriplet stateCycloalkenes:FÍSICA::Química física [UNESCO]HydrideUNESCO::FÍSICAChemical ReactionsUNESCO::FÍSICA::Química físicachemistryLithium hydrideChemical physicsLithium HydridesAb Initio Calculations ; Chemical Reactions ; Cycloalkenes ; Cations ; Lithium Hydrides ; Redox Process ; Biological MaterialsLithiumLithium CationAb Initio Calculations
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The Application of Machine Learning Algorithms to the Analysis of Electromyographic Patterns From Arthritic Patients

2009

The main aim of our study was to investigate the possibility of applying machine learning techniques to the analysis of electromyographic patterns (EMG) collected from arthritic patients during gait. The EMG recordings were collected from the lower limbs of patients with arthritis and compared with those of healthy subjects (CO) with no musculoskeletal disorder. The study involved subjects suffering from two forms of arthritis, viz, rheumatoid arthritis (RA) and hip osteoarthritis (OA). The analysis of the data was plagued by two problems which frequently render the analysis of this type of data extremely difficult. One was the small number of human subjects that could be included in the in…

Biomedical EngineeringArthritisElectromyographyMachine learningcomputer.software_genreGait (human)Musculoskeletal disorderArtificial IntelligenceInternal MedicineHumansMedicineGaitArtificial neural networkmedicine.diagnostic_testElectromyographybusiness.industryArthritisData CollectionGeneral NeuroscienceRehabilitationReproducibility of ResultsSignal Processing Computer-AssistedLinear discriminant analysismedicine.diseaseBiomechanical PhenomenaKernel methodROC CurveMultilayer perceptronArtificial intelligencebusinesscomputerAlgorithmAlgorithmsIEEE Transactions on Neural Systems and Rehabilitation Engineering
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The rise of the middle author: Investigating collaboration and division of labor in biomedical research using partial alphabetical authorship

2017

Contemporary biomedical research is performed by increasingly large teams. Consequently, an increasingly large number of individuals are being listed as authors in the bylines, which complicates the proper attribution of credit and responsibility to individual authors. Typically, more importance is given to the first and last authors, while it is assumed that the others (the middle authors) have made smaller contributions. However, this may not properly reflect the actual division of labor because some authors other than the first and last may have made major contributions. In practice, research teams may differentiate the main contributors from the rest by using partial alphabetical author…

Biomedical ResearchEconomicslcsh:MedicineSocial SciencesDatabase and Informatics MethodsMathematical and Statistical TechniquesMedicine and Health SciencesMedicinePsychologyAlphabetical orderCooperative Behaviorlcsh:ScienceLanguageMultidisciplinaryCareers05 social sciencesResearch AssessmentPublic relationsResearch PersonnelResearch DesignPublishingPhysical SciencesListing (finance)Information Technology050904 information & library sciencesSequence AnalysisStatistics (Mathematics)Period (music)Division of labourResearch ArticleEmploymentComputer and Information SciencesBioinformaticsBibliometricsResearch and Analysis Methods050905 science studiesDatabasesHumansStatistical MethodsPublishingOperationalizationbusiness.industryField (Bourdieu)lcsh:RCognitive PsychologyBiology and Life SciencesRelational DatabasesAuthorshipBibliometricsLabor EconomicsCognitive Sciencelcsh:QClinical Medicine0509 other social sciencesAttributionbusinessMathematicsForecastingNeurosciencePLOS ONE
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