Search results for "Dynamic"

showing 10 items of 12329 documents

Potential models for the simulation of methane adsorption on graphene: development and CCSD(T) benchmarks

2018

Different force fields for the graphene–CH4 system are proposed including pseudo-atom and full atomistic models. Furthermore, different charge schemes are tested to evaluate the electrostatic interaction for the CH4 dimer. The interaction parameters are optimized by fitting to interaction energies at the DFT level, which were themselves benchmarked against CCSD(T) calculations. The potentials obtained with both the pseudo-atom and full atomistic approaches describe accurately enough the average interaction in the methane dimer as well as in the graphene–methane system. Moreover, the atom–atom potentials also correctly provide the energies associated with different orientations of the molecu…

CCSD calculationsPotential modelsUNESCO::QUÍMICADimerGeneral Physics and AstronomyThermodynamics02 engineering and technology010402 general chemistry:QUÍMICA [UNESCO]7. Clean energy01 natural sciencesStability (probability)MethaneCCSD calculations Potential models methane adsorptionlaw.inventionchemistry.chemical_compoundlawPhysics::Atomic and Molecular ClustersMoleculePhysics::Chemical PhysicsPhysical and Theoretical ChemistryBond energymethane adsorptionCondensed Matter::Quantum GasesPhysicsGrapheneCharge (physics)Interaction energy021001 nanoscience & nanotechnology0104 chemical scienceschemistry0210 nano-technologyPhysical Chemistry Chemical Physics
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A Definitive Pharmacophore Modelling Study on CDK2 ATP Pocket Binders: Tracing the Path of New Virtual High-Throughput Screenings

2020

Cyclin Dependent Kinases-2 (CDK2) are members of serine/threonine protein kinases family. They play an important role in the regulation events of the eukaryotic cell division cycle, especially during the G1 to S phase transition. Experimental evidence indicate that excessive expression of CDK2s should cause abnormal cell cycle regulation. Therefore, since a long time, CDK2s have been considered potential therapeutic targets for cancer therapy. In this work, onehundred and forty-nine complexes of inhibitors bound in the CDK2-ATP pocket were submitted to short MD simulations (10ns) and free energy calculation. Comparison with experimental data (K<sub>i</sub>, K<sub>d</su…

CDK20301 basic medicineComputer scienceATP pocketCancer therapyComputational biologyMolecular dynamicsTracingCommon hits approachInhibitory Concentration 5003 medical and health sciencesMolecular dynamicsAdenosine Triphosphate0302 clinical medicineNeoplasmsDrug DiscoveryHumansProtein Kinase InhibitorsThroughput (business)Eukaryotic cellMM-GBSABinding SitesbiologyCyclin-Dependent Kinase 2Cyclin-dependent kinase 2High-Throughput Screening AssaysMolecular Docking Simulation030104 developmental biology030220 oncology & carcinogenesisPharmacophore modellingPath (graph theory)biology.proteinPharmacophoreProtein BindingCurrent Drug Discovery Technologies
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Comparing molecular dynamics-derived pharmacophore models with docking: A study on CDK-2 inhibitors

2020

Abstract We compared the performance of molecular dynamics (MD)-derived pharmacophore modeling approaches, Common Hit Approach (CHA), and the Molecular dYnamics SHAred PharmacophorE (MYSHAPE) approach, with semi-flexible constrained/unconstrained docking. The aim of this work is to enrich the hit-list of a virtual screening on CDK-2 known inhibitors as a case study. Cyclin-dependent kinases (CDKs) deregulation is associated with cancer growth. CDKs are an attractive target for anticancer agents. MD-derived pharmacophore models have been obtained with LigandScout 4.2.1. Docking analysis has been performed through Glide 7.6. The results highlighted the MYSHAPE approach has a better performanc…

CDK2Virtual screeningbiologyPharmacophore010405 organic chemistryChemistryGeneral ChemistryComputational biologyMolecular dynamics010402 general chemistry01 natural sciencesDynamic pharmacophoreLigandScout0104 chemical sciencesDockingMolecular dynamicsCyclin-dependent kinaseDocking (molecular)biology.proteinPharmacophore
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CEO-TMT interaction: do tenure and age affect ambidexterity dynamism?

2013

The aim of this study is to clarify the influence of the CEO, the top management team and their interactions on the dynamism of organisational ambidexterity. We argue that ambidexterity is a dynamic capability that enables firms to become aligned with their environment. We examine this phenomenon in the context of the current economic crisis, with particular reference to SMEs. We propose tenure and age as characteristics of business elites that help to explain ambidexterity dynamism. In SMEs, the tenure and age of CEOs and interactions with top management team characteristics play a decisive role in the decision-making process, and therefore, in how the company adapts its orientation to amb…

CEOOrganizational Behavior and Human Resource ManagementDynamic capabilitiesProcess (engineering)TenureContext (language use)Affect (psychology)AmbidexterityEducationManagementAgeTop managementBusinessDynamismBusiness and International ManagementDynamic capabilitiesTop management teamIndustrial organizationAmbidexterityEuropean J. of International Management
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Transverse-momentum-dependent Multiplicities of Charged Hadrons in Muon-Deuteron Deep Inelastic Scattering

2017

A semi-inclusive measurement of charged hadron multiplicities in deep inelastic muon scattering off an isoscalar target was performed using data collected by the COMPASS Collaboration at CERN. The following kinematic domain is covered by the data: photon virtuality $Q^{2}>1$ (GeV/$c$)$^2$, invariant mass of the hadronic system $W > 5$ GeV/$c^2$, Bjorken scaling variable in the range $0.003 < x < 0.4$, fraction of the virtual photon energy carried by the hadron in the range $0.2 < z < 0.8$, square of the hadron transverse momentum with respect to the virtual photon direction in the range 0.02 (GeV/$c)^2 < P_{\rm{hT}}^{2} < 3$ (GeV/$c$)$^2$. The multiplicities are pres…

CERN LabComputerSystemsOrganization_COMPUTERSYSTEMIMPLEMENTATIONMULTIPLICITIESdimension: 3PT DEPENDENTComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFOS: Physical sciencesComputerApplications_COMPUTERSINOTHERSYSTEMStarget: isoscalarmuon deuteron: deep inelastic scattering[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]nucl-extransverse momentum dependencehadron: transverse momentumSIDISCOMPASSGeneralLiterature_MISCELLANEOUSHigh Energy Physics - Experimentscaling: BjorkenSubatomär fysikcharged particle: multiplicityHigh Energy Physics - Experiment (hep-ex)[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]mass: hadronicSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Physics - Experiment[ PHYS.NEXP ] Physics [physics]/Nuclear Experiment [nucl-ex]Nuclear Experiment (nucl-ex)quantum chromodynamics: perturbation theoryNuclear ExperimentNuclear ExperimentDIShep-exhadron: multiplicityeffect: nonperturbativeperturbation theory: higher-orderCERN SPSphoton: energysemi-inclusive reactionComputingMethodologies_PATTERNRECOGNITIONkinematicsDIS; SIDIS; MULTIPLICITIES; PT DEPENDENTHigh Energy Physics::ExperimentParticle Physics - Experimentexperimental resultsphoton: virtual
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Application of SPH numerical procedures to hydraulic problems

2014

CFD fluid dynamics SPHSettore ICAR/01 - Idraulica
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FILTERING CHAOS: A TECHNIQUE TO ESTIMATE DYNAMICAL AND OBSERVATIONAL NOISE IN NONLINEAR SYSTEMS

2005

Nonlinear dynamical models are frequently used to approximate and predict observed physical, biological and economic systems. Such models will be subject to errors both in the model dynamics, and the observations of the underlying system. In order to improve models, it is necessary to understand the causes of error growth. A complication with chaotic models is that small errors may be amplified by the model dynamics. This paper proposes a technique for estimating levels of both dynamical and observational noise, based on the model drift. The method is demonstrated for a number of models, for cases with both stochastic and nonstochastic dynamical errors. The effect of smoothing or treating …

CHAOS (operating system)Nonlinear systemDynamical systems theoryControl theoryApplied MathematicsModeling and SimulationObservational noiseChaoticStatistical physicsEngineering (miscellaneous)Model dynamicsSmoothingMathematicsInternational Journal of Bifurcation and Chaos
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Spectral function for overoccupied gluodynamics from real-time lattice simulations

2018

We study the spectral properties of a highly occupied non-Abelian non-equilibrium plasma appearing ubiquitously in weak coupling descriptions of QCD matter. The spectral function of this far-from-equilibrium plasma is measured by employing linear response theory in classical-statistical real-time lattice Yang-Mills simulations. We establish the existence of transversely and longitudinally polarized quasiparticles and obtain their dispersion relations, effective mass, plasmon frequency, damping rate and further structures in the spectral and statistical functions. Our new method can be interpreted as a non-perturbative generalization of hard thermal loop (HTL) effective theory. We see indica…

CLASSICAL APPROXIMATIONNuclear Theorynucl-thquark-gluon plasmahep-latFOS: Physical sciencesHEAVY-ION COLLISIONShiukkasfysiikka114 Physical sciences01 natural sciencesNuclear Theory (nucl-th)High Energy Physics - LatticeHigh Energy Physics - Phenomenology (hep-ph)Lattice (order)0103 physical sciencesquantum chromodynamicsQCD PLASMA INSTABILITIESStatistical physicsGauge theorynonperturbative effects in field theory010306 general physicsHARD THERMAL LOOPSParticle Physics - PhenomenologyPhysicsQuantum chromodynamicsta114010308 nuclear & particles physicsHigh Energy Physics - Lattice (hep-lat)kvarkki-gluoniplasmafinite temperature field theorylattice field theoryISOTROPIZATIONParticle Physics - Latticehep-ph16. Peace & justiceFIELD-THEORYGluonHigh Energy Physics - PhenomenologyNuclear Physics - TheoryQuark–gluon plasmaHIGH-TEMPERATUREGAUGE-THEORIESQuasiparticleSpectral functionkvanttikenttäteoriaStatistical correlationrelativistic heavy-ion collisions
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Noise-induced behavioral change driven by transient chaos

2022

We study behavioral change in the context of a stochastic, non-linear consumption model with preference adjusting, interdependent agents. Changes in long-run consumption behavior are modelled as noise induced transitions between coexisting attractors. A particular case of multistability is considered: two fixed points, whose immediate basins have smooth boundaries, coexist with a periodic attractor, with a fractal immediate basin boundary. If a trajectory leaves an immediate basin, it enters a set of complexly intertwined basins for which final state uncertainty prevails. The standard approach to predicting transition events rooted in the stochastic sensitivity function technique due to Mil…

CO-EXISTING ATTRACTORSVDP::Samfunnsvitenskap: 200::Økonomi: 210::Økonometri: 214General MathematicsApplied MathematicsGeneral Physics and AstronomyMULTISTABILITYBEHAVIORAL CHANGESNON-ATTRACTING CHAOTIC SETStatistical and Nonlinear PhysicsSTOCHASTIC DYNAMICSSTOCHASTIC SYSTEMSNON-ATTRACTING CHAOTIC SETSSTATISTICSVDP::Samfunnsvitenskap: 200::Økonomi: 210CHAOTIC SETSDYNAMICAL SYSTEMSNOISE-INDUCED TRANSITIONCRITICAL LINESCONSUMER BEHAVIORSTOCHASTIC MODELSCONFIDENCE REGIONFORECASTINGNOISE-INDUCED TRANSITIONSTRANSIENT CHAOS
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Biogenic habitat shifts under long-term ocean acidification show nonlinear community responses and unbalanced functions of associated invertebrates

2019

Este artículo contiene 8 páginas, 4 figuras.

CO2 ventsEnvironmental Engineering010504 meteorology & atmospheric sciencesOceans and SeasOceans and SeaSnailsIntertidal zone010501 environmental sciencesEnvironmentsTransplant01 natural sciencesModels BiologicalNonlinear DynamicRocky shoreMediterranean SeaAnimalsEnvironmental ChemistryMarine ecosystemEcosystemSeawaterInvertebratePhase shiftWaste Management and DisposalEcosystem0105 earth and related environmental sciencesSeabiologyEcologyAnimalOcean acidificationCoralline algaeOcean acidificationBiodiversityCarbon Dioxidebiology.organism_classificationInvertebratesPollutionNonlinear DynamicsCarbon dioxideItalySnailBenthic zoneImpactsReefsEnvironmental scienceSpecies richnessCoralCo2 ventsVermetid reef
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