Search results for "Approx"

showing 10 items of 922 documents

Orbital Decomposition of the Carbon Chemical Shielding Tensor in Gold(I) N-Heterocyclic Carbene Complexes.

2020

The good performance of N‐heterocyclic carbenes (NHCs), in terms of versatility and selectivity, has called the attention of experimentalists and theoreticians attempting to understand their electronic properties. Analyses of the Au(I)–C bond in [(NHC)AuL]+/0 (L stands for a neutral or negatively charged ligand), through the Dewar–Chatt–Duncanson model and the charge displacement function, have revealed that NHC is not purely a σ‐donor but may have a significant π‐acceptor character. It turns out, however, that only the σ‐donation bonding component strongly correlates with one specific component of the chemical shielding tensor. Here, in extension to earlier works, a current density analysi…

C-13 NMR-SPECTROSCOPYElectronic structureRING CURRENTS010402 general chemistry01 natural sciencesInorganic Chemistrychemistry.chemical_compoundDONATION Author InformationGROUP-11MAGNETIC-PROPERTIESTensorGold(I) NHC ComplexesFull Paper010405 organic chemistryChemistryLigandElectron donationCAPTIVE INTERMEDIATEFull PapersSymmetry (physics)0104 chemical sciencesChemical shielding tensorChemistryChemical physicsElectron back‐donationElectromagnetic shieldingElectron back-donationPATTERNSDiamagnetismDONATIONGoldCarbeneCurrent densityCarbene ligandsCONTINUOUS TRANSFORMATIONBONDAPPROXIMATIONEuropean journal of inorganic chemistry
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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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Socio-economic deprivation and COVID-19 infection: a Bayesian spatial modelling approach

2022

Il presente articolo ha l’obiettivo di analizzare l’effetto della deprivazione socio-economica sull’incidenza da COVID-19 a livello sub-comunale. Grazie alla disponibilit`a di informazioni sui tassi di incidenza mensili da COVID-19 a livello di sezione di censimento per i due comuni di Palermo e Catania (Italia), viene pro- posto l’utilizzo di un modello spaziale Bayesiano con distribuzione binomiale zero- inflated. I risultati mostrano un’associazione tra livelli di deprivazione e incidenza da COVID-19 nei due comuni, controllando per la struttura spaziale delle unit`a areali considerate. Alla luce dei risultati, si rendono necessarie azioni di politica sanitaria focalizzando gli intervent…

COVID-19 Socio-economic inequalities Bayesian Inference Laplace approximation Spatial-temporal models
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Near-infrared diffuse reflectance spectroscopy and neural networks for measuring nutritional parameters in chocolate samples.

2007

Abstract A rapid and non-destructive method has been developed for the characterization of chocolate samples based on diffuse reflectance near-infrared Fourier transform spectroscopy (DRIFTS) and artificial neural networks (ANNs). This methodology provides a potentially useful alternative to time-consuming chemical methods of analysis. To assess its utility, 36 chocolate samples purchased from the Spanish market were analyzed for the determination of the main nutritional parameters like carbohydrates, fat, proteins, energetic value and cocoa content. Direct triplicate measurements of each sample were carried out by DRIFTS. Cluster hierarchical analysis was used for selecting calibration and…

CacaoDiffuse reflectance infrared fourier transformMean squared errorChemistryFood HandlingNear-infrared spectroscopyAnalytical chemistryCarbohydratesInfrared spectroscopyCalorimetryBiochemistryStandard deviationFourier transform spectroscopyAnalytical ChemistryMilkNutrition AssessmentApproximation errorSpectroscopy Fourier Transform InfraredCalibrationEnvironmental ChemistryAnimalsNerve NetSpectroscopyAnalytica chimica acta
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Whole-Genome Re-Sequencing Data to Infer Historical Demography and Speciation Processes in Land Snails: the Study of Two Candidula Sister Species

2021

Despite the global biodiversity of terrestrial gastropods and their ecological and economic importance, the genomic basis of ecological adaptation and speciation in land snail taxa is still largely unknown. Here, we combined whole-genome re-sequencing with population genomics to evaluate the historical demography and the speciation process of two closely related species of land snails from western Europe, Candidula unifasciata and C. rugosiuscula. Historical demographic analysis indicated fluctuations in the size of ancestral populations, probably driven by Pleistocene climatic fluctuations. Although the current population distributions of both species do not overlap, our approximate Bayesi…

Candidula unifasciatabiologywhole-genome re-sequencingDemographic historyGastropodaCandidulaReproductive isolationbiology.organism_classificationdemographic historyGeneral Biochemistry Genetics and Molecular BiologyEcological speciationGene flowPopulation genomicsapproximate Bayesian computationEvolutionary biologyGenetic algorithmecological speciationGeneral Agricultural and Biological Sciencesgene flow
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Diffusion processes with ultrametric jumps

2007

Abstract In the theory of spin glasses the relaxation processes are modelled by random jumps in ultrametric spaces. One may argue that at the border of glassy and nonglassy phases the processes combining diffusion and jumps may be relevant. Using the Dirichlet form technique we construct a model of diffusion on the real line with jumps on the Cantor set. The jumps preserve the ultrametric feature of a random process on unit ball of 2-adic numbers.

Cantor setUnit sphereDirichlet formStochastic processMathematical analysisStatistical and Nonlinear PhysicsRelaxation (approximation)Diffusion (business)Condensed Matter::Disordered Systems and Neural NetworksReal lineUltrametric spaceMathematical PhysicsMathematicsReports on Mathematical Physics
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Cavitation of electron bubbles in liquid parahydrogen

2011

Within a finite-temperature density functional approach, we have investigated the structure of electron bubbles in liquid parahydrogen below the saturated vapour pressure, determining the critical pressure at which electron bubbles explode as a function of temperature. The electron-parahydrogen interaction has been modelled by a Hartree-type local potential fitted to the experimental value of the conduction band-edge for a delocalized electron in pH(2). We have found that the pressure for bubble explosion is, in absolute value, about a factor of two smaller than that of the homogeneous cavitation pressure in the liquid. Comparison with the results obtained within the capillary model shows t…

Capillary actionChemistryVapor pressureBubbleBiophysicselectron bubblesElectronCondensed Matter PhysicsSpin isomers of hydrogenThermal conductionMolecular physicsPhysics::Fluid Dynamicscapillary approximationNuclear magnetic resonanceCavitationliquid parahydrogenPhysics::Atomic and Molecular ClustersDensity functional theoryPhysical and Theoretical ChemistryMolecular Biologydensity functional theoryMolecular Physics
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New fitting scheme to obtain effective potential from Car-Parrinello molecular dynamics simulations: Application to silica

2008

A fitting scheme is proposed to obtain effective potentials from Car-Parrinello molecular dynamics (CPMD) simulations. It is used to parameterize a new pair potential for silica. MD simulations with this new potential are done to determine structural and dynamic properties and to compare these properties to those obtained from CPMD and a MD simulation using the so-called BKS potential. The new potential reproduces accurately the liquid structure generated by the CPMD trajectories, the experimental activation energies for the self-diffusion constants and the experimental density of amorphous silica. Also lattice parameters and elastic constants of alpha-quartz are well-reproduced, showing th…

Car–Parrinello molecular dynamicsMaterials sciencemolecular dynamics calculations (Car-Parrinello) and other numerical simulationsTransferabilityGeneral Physics and AstronomyFOS: Physical sciences02 engineering and technologyglasses01 natural sciencesMolecular physicsMolecular dynamicsLattice (order)0103 physical sciences[PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]010306 general physicsdensity functional theoryCondensed Matter - Materials Sciencegradient and other correctionsMaterials Science (cond-mat.mtrl-sci)Disordered Systems and Neural Networks (cond-mat.dis-nn)computer simulation of liquid structureCondensed Matter - Disordered Systems and Neural Networks021001 nanoscience & nanotechnologylocal density approximation[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Amorphous silica0210 nano-technologyPair potential
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Analytic calculation of the diagonal Born-Oppenheimer correction within configuration-interaction and coupled-cluster theory

2006

Schemes for the analytic calculation of the diagonal Born-Oppenheimer correction (DBOC) are formulated and implemented for use with general single-reference configuration-interaction and coupled-cluster wave function models. Calculations are reported to demonstrate the convergence of the DBOC with respect to electron-correlation treatment and basis set as well as to investigate the size-consistency error in configuration-interaction calculations of the DBOC. The importance of electron-correlation contributions to the DBOC is illustrated in the computation of the corresponding corrections for the reaction energy and activation barrier of the F + H2 --FH + H reaction as well as of the atomiza…

ChemistryComputationDiagonalBorn–Oppenheimer approximationGeneral Physics and AstronomyConfiguration interactionsymbols.namesakeCoupled clusterQuantum electrodynamicsConvergence (routing)symbolsPhysical and Theoretical ChemistryAtomic physicsWave functionBasis setThe Journal of Chemical Physics
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Artificial neural network for quantitative determination of total protein in yogurt by infrared spectrometry

2009

Abstract A method has been introduced for quantitative determination of protein content in yogurt samples based on the characteristic absorbance of protein in 1800–1500 cm− 1 spectral region by mid-FTIR spectroscopy and chemometrics. Successive Projection Algorithm (SPA) wavelength selection procedure, coupled with feed forward Back-Propagation Artificial Neural Network (BP-ANN) model was the benefited chemometric technique. Relative Error of Prediction (REP) in BP-ANN and SPA-BP-ANN methods for training set was 7.25 and 3.70 respectively. Considering the complexity of the sample, the ANN model was found to be reliable, while the proposed method is rapid and simple, without any sample prepa…

ChemometricsAbsorbanceChromatographyArtificial neural networkChemistryApproximation errorSample preparationBiological systemQuantitative analysis (chemistry)SpectroscopyBackpropagationDykstra's projection algorithmAnalytical ChemistryMicrochemical Journal
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