Search results for " Applications"

showing 10 items of 4541 documents

Identification of multiplicatively acting modulatory mutational signatures in cancer

2022

Abstract Background A deep understanding of carcinogenesis at the DNA level underpins many advances in cancer prevention and treatment. Mutational signatures provide a breakthrough conceptualisation, as well as an analysis framework, that can be used to build such understanding. They capture somatic mutation patterns and at best identify their causes. Most studies in this context have focused on an inherently additive analysis, e.g. by non-negative matrix factorization, where the mutations within a cancer sample are explained by a linear combination of independent mutational signatures. However, other recent studies show that the mutational signatures exhibit non-additive interactions. Resu…

Applied Mathematics3122 CancersMutational signatures113 Computer and information sciencesBiochemistryComputer Science ApplicationsStructural BiologyNeoplasmsMutationModulatory processesHumanssyöpätauditmutaatiotMolecular BiologyCancerBMC Bioinformatics
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Structures for the synthesis of stable immitances with arbitrary zeros

1981

Applied MathematicsElectrical and Electronic EngineeringComputer Science ApplicationsElectronic Optical and Magnetic MaterialsMathematicsInternational Journal of Circuit Theory and Applications
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Modelling the dynamics of the students’ academic performance in the German region of the North Rhine-Westphalia: an epidemiological approach with unc…

2013

Student academic underachievement is a concern of paramount importance in Europe, where around 15% of the students in the last high school courses do not achieve the minimum knowledge academic requirement. In this paper, we propose a model based on a system of differential equations to study the dynamics of the students academic performance in the German region of North Rhine-Westphalia. This approach is supported by the idea that both, good and bad study habits, are a mixture of personal decisions and influence of classmates. This model allows us to forecast the student academic performance by means of confidence intervals over the next few years.

Applied MathematicsForecasting in Social SciencesNon-linear System of Differential EquationsModellingConfidence intervallanguage.human_languageComputer Science ApplicationsGermanBootstrap Confidence Intervals.Computational Theory and MathematicsSystem of differential equationsDynamics (music)ComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationlanguageStudent Academic PerformanceBootstrap confidence intervalMATEMATICA APLICADAMathematicsInternational Journal of Computer Mathematics
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A generalized Newton iteration for computing the solution of the inverse Henderson problem

2020

We develop a generalized Newton scheme IHNC for the construction of effective pair potentials for systems of interacting point-like particles.The construction is made in such a way that the distribution of the particles matches a given radial distribution function. The IHNC iteration uses the hypernetted-chain integral equation for an approximate evaluation of the inverse of the Jacobian of the forward operator. In contrast to the full Newton method realized in the Inverse Monte Carlo (IMC) scheme, the IHNC algorithm requires only a single molecular dynamics computation of the radial distribution function per iteration step, and no further expensive cross-correlations. Numerical experiments…

Applied MathematicsGeneral EngineeringInverseNumerical Analysis (math.NA)010103 numerical & computational mathematicsRadial distribution function01 natural sciencesComputer Science Applications010101 applied mathematicssymbols.namesakeScheme (mathematics)FOS: MathematicssymbolsApplied mathematicsMathematics - Numerical AnalysisGranularity0101 mathematicsNewton's method65Z05 82B21MathematicsInverse Problems in Science and Engineering
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Sampling methods for low-frequency electromagnetic imaging

2007

For the detection of hidden objects by low-frequency electromagnetic imaging the linear sampling method works remarkably well despite the fact that the rigorous mathematical justification is still incomplete. In this work, we give an explanation for this good performance by showing that in the low-frequency limit the measurement operator fulfils the assumptions for the fully justified variant of the linear sampling method, the so-called factorization method. We also show how the method has to be modified in the physically relevant case of electromagnetic imaging with divergence-free currents. We present numerical results to illustrate our findings, and to show that similar performance can b…

Applied MathematicsMathematical analysis510 MathematikLow frequencyComputer Science ApplicationsTheoretical Computer ScienceOperator (computer programming)510 MathematicsSignal ProcessingFactorization methodLimit (mathematics)AlgorithmMathematical PhysicsMathematics
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Recent progress in electrical impedance tomography

2003

We consider the inverse problem of finding cavities within some body from electrostatic measurements on the boundary. By a cavity we understand any object with a different electrical conductivity from the background material of the body. We survey two algorithms for solving this inverse problem, namely the factorization method and a MUSIC-type algorithm. In particular, we present a number of numerical results to highlight the potential and the limitations of these two methods.

Applied MathematicsMathematical analysisBoundary (topology)Inverse problemObject (computer science)Computer Science ApplicationsTheoretical Computer ScienceElectrical resistivity and conductivitySignal ProcessingCalculusFactorization methodElectrical impedance tomographyMathematical PhysicsMathematicsInverse Problems
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Internal fe approximation of spaces of divergence-free functions in three-dimensional domains

1986

SUMMARY The space of divergence-free vector functions with vanishing normal flux on the boundary is approximated by subspaces of finite elements having the same property. An easy way of generating basis functions in these subspaces is shown.

Applied MathematicsMechanical EngineeringMathematical analysisComputational MechanicsFluxBoundary (topology)Basis functionSpace (mathematics)Linear subspaceFinite element methodComputer Science ApplicationsMechanics of MaterialsDivergence (statistics)Vector-valued functionMathematicsInternational Journal for Numerical Methods in Fluids
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Energy dissipative characteristic schemes for the diffusive Oldroyd-B viscoelastic fluid

2015

Applied MathematicsMechanical EngineeringMathematical analysisComputational MechanicsViscoelastic fluid010103 numerical & computational mathematics01 natural sciencesComputer Science Applications010101 applied mathematicsClassical mechanicsMechanics of MaterialsDissipative system0101 mathematicsEnergy (signal processing)MathematicsInternational Journal for Numerical Methods in Fluids
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3‐D CALCULATION OF ZERO‐COMPONENT FLUX IN THREE‐PHASE THREE‐COLUMN TRANSFORMER

1994

The paper discusses the problem of space distribution of zero‐component magnetic flux generated in three‐column transformer. For 3‐D magnetic field calculation the method of integral equations was used. The numerical calculations were made for physical model of the transformer and compared with experimental results. The accuracy of the calculations of the magnetic field, achieved in the work, proves that the modelling may be used as a computer aided designing tool.

Applied MathematicsMechanicsIntegral equationMagnetic fluxComputer Science ApplicationsMagnetic fieldlaw.inventionComputational Theory and MathematicsThree-phaselawElectronic engineeringComputer-aidedElectrical and Electronic EngineeringTransformerMathematicsCOMPEL - The international journal for computation and mathematics in electrical and electronic engineering
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A regularized Newton method for locating thin tubular conductivity inhomogeneities

2011

We consider the inverse problem of determining the position and shape of a thin tubular object, such as for instance a wire, a thin channel or a curve-like crack, embedded in some three-dimensional homogeneous body from a single measurement of electrostatic currents and potentials on the boundary of the body. Using an asymptotic model describing perturbations of electrostatic potentials caused by such thin objects, we reformulate the inverse problem as a nonlinear operator equation. We establish Frechet differentiability of the corresponding operator, compute its Frechet derivative and set up a regularized Newton scheme to solve the inverse problem numerically. We discuss our implementation…

Applied MathematicsOperator (physics)Mathematical analysisFréchet derivativeBoundary (topology)Inverse problemComputer Science ApplicationsTheoretical Computer Sciencesymbols.namesakeNewton fractalPosition (vector)Signal ProcessingsymbolsDifferentiable functionNewton's methodMathematical PhysicsMathematicsInverse Problems
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