Search results for " computation"

showing 10 items of 1478 documents

In silico and in vitro comparative analysis to select, validate and test SNPs for human identification.

2007

Abstract Background The recent advances in human genetics have recently provided new insights into phenotypic variation and genome variability. Current forensic DNA techniques involve the search for genetic similarities and differences between biological samples. Consequently the selection of ideal genomic biomarkers for human identification is crucial in order to ensure the highest stability and reproducibility of results. Results In the present study, we selected and validated 24 SNPs which are useful in human identification in 1,040 unrelated samples originating from three different populations (Italian, Benin Gulf and Mongolian). A Rigorous in silico selection of these markers provided …

Asialcsh:QH426-470lcsh:BiotechnologyIn silicoPolymorphism Single Nucleotide; Heterozygote Detection; Gene Frequency; Humans; Africa; Europe; Computational Biology; Sequence Analysis DNA; Forensic Anthropology; Asia; Chromosome MappingSingle-nucleotide polymorphismBiologyHeterozygote DetectionGenomePolymorphism Single NucleotideGene Frequencylcsh:TP248.13-248.65GeneticsHumansPolymorphismAllele frequencySelection (genetic algorithm)GeneticsGenetic Carrier ScreeningChromosome MappingComputational BiologySingle NucleotideDNASequence Analysis DNAHuman geneticsEuropelcsh:GeneticsSettore MED/03 - Genetica MedicaAfricaSNPs HUMAN IDENTIFICATION comparative analysisForensic AnthropologyHuman genomeDNA microarraySequence AnalysisBiotechnologyResearch ArticleBMC genomics
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On vibrating thin membranes with mass concentrated near the boundary: an asymptotic analysis

2018

We consider the spectral problem \begin{equation*} \left\{\begin{array}{ll} -\Delta u_{\varepsilon}=\lambda(\varepsilon)\rho_{\varepsilon}u_{\varepsilon} & {\rm in}\ \Omega\\ \frac{\partial u_{\varepsilon}}{\partial\nu}=0 & {\rm on}\ \partial\Omega \end{array}\right. \end{equation*} in a smooth bounded domain $\Omega$ of $\mathbb R^2$. The factor $\rho_{\varepsilon}$ which appears in the first equation plays the role of a mass density and it is equal to a constant of order $\varepsilon^{-1}$ in an $\varepsilon$-neighborhood of the boundary and to a constant of order $\varepsilon$ in the rest of $\Omega$. We study the asymptotic behavior of the eigenvalues $\lambda(\varepsilon)$ and the eige…

Asymptotic analysisAsymptotic analysisBoundary (topology)Spectral analysis01 natural sciencesMathematics - Analysis of PDEsFOS: MathematicsBoundary value problem0101 mathematicsSteklov boundary conditionsMathematical physicsMathematicsApplied Mathematics010102 general mathematicsMathematical analysisZero (complex analysis)Order (ring theory)Asymptotic analysis; Eigenvalues; Mass concentration; Spectral analysis; Steklov boundary conditions; Analysis; Computational Mathematics; Applied MathematicsEigenvaluesEigenfunction010101 applied mathematicsComputational MathematicsBounded functionDomain (ring theory)Mass concentrationAnalysisAnalysis of PDEs (math.AP)
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The electron affinity of astatine

2020

One of the most important properties influencing the chemical behavior of an element is the electron affinity (EA). Among the remaining elements with unknown EA is astatine, where one of its isotopes, 211At, is remarkably well suited for targeted radionuclide therapy of cancer. With the At− anion being involved in many aspects of current astatine labeling protocols, the knowledge of the electron affinity of this element is of prime importance. Here we report the measured value of the EA of astatine to be 2.41578(7) eV. This result is compared to state-of-the-art relativistic quantum mechanical calculations that incorporate both the Breit and the quantum electrodynamics (QED) corrections and…

Atomic Physics (physics.atom-ph)ENERGIESGeneral Physics and AstronomyElectron01 natural sciences7. Clean energyPhysics - Atomic PhysicsElectronegativityastatiinielectron affinityPhysics::Atomic Physicslcsh:SciencePhysicsMultidisciplinary010304 chemical physicsIsotopeQELECTRONEGATIVITYMultidisciplinary SciencesHalogenScience & Technology - Other Topicsddc:500Atomic physicsBASIS-SET CONVERGENCE[CHIM.RADIO]Chemical Sciences/RadiochemistryRadioactive decayChemical physicsAstrophysics::High Energy Astrophysical PhenomenaScienceComputer Science::Neural and Evolutionary ComputationOther Fields of PhysicsPOTENTIALSFOS: Physical scienceschemistry.chemical_elementphysics.atom-phGeneral Biochemistry Genetics and Molecular BiologyArticleIonElectron affinity0103 physical sciences[CHIM]Chemical Sciences010306 general physicsAstatineDETECTORScience & TechnologySTABILITYRadiochemistry500General Chemistrychemistrylcsh:Qastatine
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Compact two-electron wave function for bond dissociation and Van der Waals interactions: A natural amplitude assessment

2014

Electron correlations in molecules can be divided in short range dynamical correlations, long range Van der Waals type interactions and near degeneracy static correlations. In this work we analyze for a one-dimensional model of a two-electron system how these three types of correlations can be incorporated in a simple wave function of restricted functional form consisting of an orbital product multiplied by a single correlation function $f(r_{12})$ depending on the interelectronic distance $r_{12}$. Since the three types of correlations mentioned lead to different signatures in terms of the natural orbital (NO) amplitudes in two-electron systems we make an analysis of the wave function in t…

Atomic Physics (physics.atom-ph)General Physics and AstronomyFOS: Physical sciencesPhysics - Atomic Physicssymbols.namesakeCondensed Matter - Strongly Correlated ElectronsAtomic orbitalQuantum mechanicsPhysics - Chemical PhysicsPhysics::Atomic PhysicsSDG 7 - Affordable and Clean EnergyPhysical and Theoretical ChemistryWave functionAnsatzPhysicsChemical Physics (physics.chem-ph)Quantum Physics/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyta114Electronic correlationStrongly Correlated Electrons (cond-mat.str-el)Computational Physics (physics.comp-ph)Diatomic molecule3. Good healthBond lengthAmplitudesymbolsvan der Waals forceQuantum Physics (quant-ph)Physics - Computational Physics
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Long-range interactions and the sign of natural amplitudes in two-electron systems

2013

In singlet two-electron systems the natural occupation numbers of the one-particle reduced density matrix are given as squares of the natural amplitudes which are defined as the expansion coefficients of the two-electron wave function in a natural orbital basis. In this work we relate the sign of the natural amplitudes to the nature of the two-body interaction. We show that long-range Coulomb-type interactions are responsible for the appearance of positive amplitudes and give both analytical and numerical examples that illustrate how the long-distance structure of the wave function affects these amplitudes. We further demonstrate that the amplitudes show an avoided crossing behavior as func…

Atomic Physics (physics.atom-ph)General Physics and AstronomyInteraction strengthFOS: Physical sciences02 engineering and technologyElectron01 natural sciencesPhysics - Atomic PhysicsCondensed Matter - Strongly Correlated Electronssymbols.namesakeQuantum mechanics0103 physical sciencesCoulombPhysical and Theoretical ChemistryWave functionPhysicsQuantum Physicsta114010304 chemical physicsStrongly Correlated Electrons (cond-mat.str-el)Avoided crossingComputational Physics (physics.comp-ph)021001 nanoscience & nanotechnologyAmplitudesymbolsReduced density matrix0210 nano-technologyHamiltonian (quantum mechanics)Quantum Physics (quant-ph)Physics - Computational Physics
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Many-body perturbation theory calculations using the yambo code

2019

Abstract yambo is an open source project aimed at studying excited state properties of condensed matter systems from first principles using many-body methods. As input, yambo requires ground state electronic structure data as computed by density functional theory codes such as Quantum ESPRESSO and Abinit. yambo’s capabilities include the calculation of linear response quantities (both independent-particle and including electron–hole interactions), quasi-particle corrections based on the GW formalism, optical absorption, and other spectroscopic quantities. Here we describe recent developments ranging from the inclusion of important but oft-neglected physical effects such as electron–phonon i…

BETHE-SALPETER EQUATION02 engineering and technology01 natural sciencesSoftwarereal-time dynamicsGeneral Materials Sciencequasi-particleCondensed Matter - Materials Scienceparallelismelectron-phononreal-time dynamicComputational Physics (physics.comp-ph)021001 nanoscience & nanotechnologySupercomputerMANY-BODY PERTURBATION THEORYCondensed Matter Physicsbethe-salpeter-equationoptical-propertiesoptical propertietemperature-dependence[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]User interface0210 nano-technologyGround statePhysics - Computational Physicsoptical propertiesmonte-carloMaterials scienceExploitFOS: Physical sciencesabinitSettore FIS/03 - Fisica della MateriaComputational scienceKerr effect0103 physical scienceskerr effect010306 general physicselectronic excitationsTHEORETICAL SPECTROSCOPYpolarizationspin and spinorsbusiness.industrysoftwareMaterials Science (cond-mat.mtrl-sci)Rangingelectronic structureABINITInterfacingelectron-phonon; electronic structure; Kerr effect; optical properties; parallelism; real-time dynamics; spin and spinorsbusinessabsorption
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Cation Environment in BaCeO3-Based Protonic Conductors: a Computational Study

2009

Geometry calculations were performed on pure BaCeO(3) fragments and on Y- and In-doped derivatives. HF and DFT approaches were used to investigate monoclinic and orthorhombic structures. The computational methods, structural models, and electronic structure investigation protocols were tuned taking into consideration and balancing the consistency of the results against the computational cost. The calculated structures and energetics parameter, as well as the detailed orbital analysis performed on the corresponding BaCeO(3) derivatives allowed us to explain experimental findings and to develop a procedure to study the cationic octahedral environment of doped X:BaCeO(3) (X = Y, In) and undope…

Basis (linear algebra)ChemistryDopingElectronic structureCondensed Matter::Materials ScienceOctahedronComputational chemistryChemical physicsOrthorhombic crystal systemperovskite computational chemistryPhysical and Theoretical ChemistryElectrical conductorOrbital analysisMonoclinic crystal system
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A Bidirectional IPT system for Electrical Bicycle Contactless Energy Transfer

2019

Contactless Energy Transfer characterized by Inductive Power Transfer (IPT) is a viable solution for Electric Vehicle (EV) battery charging, giving advantages in terms of safety, comfort and automatism of the recharging operation. IPT is a smart option for the Vehicle- To-Grid (V2G) implementation as well: the EV's battery can provide power to other users, if possible and if required, in order to adequately respond to an active demand scenario. IPT shall therefore allow a Bidirectional power flow, so that it can be properly defined as Bidirectional IPT (BIPT). In this paper, a 300 W BIPT system for E-bikes is proposed and experimental results are shown as well. Considering power level and s…

Battery (electricity)business.product_categoryComputer science020209 energyEnergy transferVehicle-to-grid010103 numerical & computational mathematics02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciSettore ING-INF/01 - Elettronica01 natural sciencesPower levelElectric bicycleElectric vehicle0202 electrical engineering electronic engineering information engineeringMaximum power transfer theorem0101 mathematicsWireless battery chargingContactless energy transferbusiness.industryElectrical engineeringVehicle-to-gridInductive power transferPower (physics)Power flowbusiness2019 8th International Conference on Renewable Energy Research and Applications (ICRERA)
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Computation of the area in the discrete plane: Green’s theorem revisited

2017

International audience; The detection of the contour of a binary object is a common problem; however, the area of a region, and its moments, can be a significant parameter. In several metrology applications, the area of planar objects must be measured. The area is obtained by counting the pixels inside the contour or using a discrete version of Green's formula. Unfortunately, we obtain the area enclosed by the polygonal line passing through the centers of the pixels along the contour. We present a modified version of Green's theorem in the discrete plane, which allows for the computation of the exact area of a two-dimensional region in the class of polyominoes. Penalties are introduced and …

Binary Objectcontour detectionPolyominoComputationGeometry0102 computer and information sciences02 engineering and technology01 natural sciencesconnectednessPick's theoremsymbols.namesake0202 electrical engineering electronic engineering information engineeringPick's theoremElectrical and Electronic EngineeringGreen's theoremMathematicsDigital picturesPixelMathematical analysisImage segmentationAtomic and Molecular Physics and OpticsComputer Science Applications[SPI.TRON]Engineering Sciences [physics]/Electronics010201 computation theory & mathematics[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Binary datasymbols[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic020201 artificial intelligence & image processingpolyominoesGreen's theorem
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Fast Algorithms for Pseudoarboricity

2015

The densest subgraph problem, which asks for a subgraph with the maximum edges-to-vertices ratio d∗, is solvable in polynomial time. We discuss algorithms for this problem and the computation of a graph orientation with the lowest maximum indegree, which is equal to ⌈d∗⌉. This value also equals the pseudoarboricity of the graph. We show that it can be computed in O(|E| √ log log d∗) time, and that better estimates can be given for graph classes where d∗ satisfies certain asymptotic bounds. These runtimes are achieved by accelerating a binary search with an approximation scheme, and a runtime analysis of Dinitz’s algorithm on flow networks where all arcs, except the source and sink arcs, hav…

Binary search algorithmComputation0102 computer and information sciences02 engineering and technologyOrientation (graph theory)01 natural sciencesFlow (mathematics)010201 computation theory & mathematicsLog-log plotTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)020201 artificial intelligence & image processingUnit (ring theory)AlgorithmTime complexityMathematicsofComputing_DISCRETEMATHEMATICSMathematics2016 Proceedings of the Eighteenth Workshop on Algorithm Engineering and Experiments (ALENEX)
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