Search results for "DOMAIN"

showing 10 items of 2485 documents

Dispersion relation bounds forππscattering

2008

Axiomatic principles such as analyticity, unitarity, and crossing symmetry constrain the second derivative of the $\ensuremath{\pi}\ensuremath{\pi}$ scattering amplitudes in some channels to be positive in a region of the Mandelstam plane. Since this region lies in the domain of validity of chiral perturbation theory, we can use these positivity conditions to bound linear combinations of ${\overline{l}}_{1}$ and ${\overline{l}}_{2}$. We compare our predictions with those derived previously in the literature using similar methods. We compute the one-loop $\ensuremath{\pi}\ensuremath{\pi}$ scattering amplitude in the linear sigma model (LSM) using the $\overline{\mathrm{MS}}$ scheme, a result…

Scattering amplitudePhysicsNuclear and High Energy PhysicsChiral perturbation theorySigma modelUnitarityScatteringQuantum mechanicsHigh Energy Physics::PhenomenologyCrossingDomain (ring theory)Perturbation theoryMathematical physicsPhysical Review D
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“Anti-Bayesian” flat and hierarchical clustering using symmetric quantiloids

2017

A myriad of works has been published for achieving data clustering based on the Bayesian paradigm, where the clustering sometimes resorts to Naive-Bayes decisions. Within the domain of clustering, the Bayesian principle corresponds to assigning the unlabelled samples to the cluster whose mean (or centroid) is the closest. Recently, Oommen and his co-authors have proposed a novel, counter-intuitive and pioneering PR scheme that is radically opposed to the Bayesian principle. The rational for this paradigm, referred to as the “Anti-Bayesian” (AB) paradigm, involves classification based on the non-central quantiles of the distributions. The first-reported work to achieve clustering using the A…

Scheme (programming language)Information Systems and ManagementTheoretical computer scienceComputer scienceBayesian principleBayesian probabilityVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412Multivariate normal distribution0102 computer and information sciences02 engineering and technology01 natural sciencesDomain (mathematical analysis)ClusteringTheoretical Computer ScienceArtificial Intelligence0103 physical sciencesCluster (physics)0202 electrical engineering electronic engineering information engineering010306 general physicsCluster analysiscomputer.programming_languageCentroidComputer Science ApplicationsHierarchical clustering010201 computation theory & mathematicsControl and Systems EngineeringAnti-Bayesian classification020201 artificial intelligence & image processingcomputerSoftwareQuantiloidsQuantile
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On Infiltration and Infiltration Characteristic Times

2022

In his seminal paper on the solution of the infiltration equation, Philip (1969), https://doi.org/10.1016/b978-1-4831-9936-8.50010-6 proposed a gravity time, tgrav, to estimate practical convergence time and the time domain validity of his infinite time series expansion, TSE, for describing the transient state. The parameter tgrav refers to a point in time where infiltration is dominated equally by capillarity and gravity as derived from the first two (dominant) terms of the TSE. Evidence suggests that applicability of the truncated two-term equation of Philip has a time limit requiring higher-order TSE terms to better describe the infiltration process for times exceeding that limit. Since …

Science & TechnologyEROSIONsorptivityHYDRAULIC CONDUCTIVITYINFILTROMETERInfiltrationEnvironmental Sciences & EcologyPARAMETERSSOILMODELPhysical SciencesLimnology[SDE]Environmental Sciencesddc:550Water ResourcesEQUATIONSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliWATERsteady statetime domain validityMarine & Freshwater BiologyLife Sciences & Biomedicinehydraulic conductivityEnvironmental SciencesWater Science and Technology
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*-Representations of Partial *-Algebras

2002

This chapter is devoted to *-representations of partial *-algebras. We introduce in Section 7.1 the notions of closed, fully closed, self-adjoint and integrable *-representations. In Section 7.2, the intertwining spaces of two *-representations of a partial *-algebra are defined and investigated, and using them we define the induced extensions of a *-representation. Section 7.3 deals with vector representations for a *-representation of a partial *-algebra, which are the appropriate generalization to a *-representation of the notion of generalized vectors described in Chapter 5. Regular and singular vector representations are defined and characterized by the properties of the commutant, and…

Section (fiber bundle)symbols.namesakePure mathematicsClosure (mathematics)Hilbert spacesymbolsNest algebraAutomorphismCentralizer and normalizerProjection (linear algebra)Domain (mathematical analysis)Mathematics
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The INGV's new OBS/H: Analysis of the signals recorded at the Marsili submarine volcano

2009

Abstract The ocean bottom seismometer with hydrophone deployed on the flat top of the Marsili submarine volcano (790 m deep) by the Gibilmanna OBS Lab (CNT–INGV) from 12th to 21st July, 2006, recorded more than 1000 transient seismic signals. Nineteen of these signals were associated with tectonic earthquakes: 1 teleseismic, 8 regional (located by INGV) and 10 small local seismic events (non located earthquakes). The regional events were used to determine sensor orientation. By comparing the signals recorded with typical volcanic seismic activity, we were able to group all the other signals into three categories: 817 volcano–tectonic type B (VT-B) events, 159 occurrences of high frequency t…

Seismometergeographygeography.geographical_feature_categoryHydrophoneContinuous volcanic tremorFrequency bandPolarization analysiSpectral analysisMarsili SeamountTransient volcano–seismic signalSignalTectonicsGeophysicsVolcanoGeochemistry and PetrologyOBS/HTime domainSubmarine volcanoGeologySeismologyJournal of Volcanology and Geothermal Research
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Description of Dynamic Structured Scenes by a SOM/ARSOM Hierarchy

2001

A neural architecture is presented, aimed to describe the dynamic evolution of complex structures inside a video sequence. The proposed system is arranged as a tree of self-organizing maps. Leaf nodes are implemented by ARSOM networks as a way to code dynamic inputs, while classical SOM's are used to implement the upper levels of the hierarchy. Depending on the application domain, inputs are made by suitable low level features extracted frame by frame of the sequence. Theoretical foundations of the architecture are reported along with a detailed outline of its structure, and encouraging experimental results.

Self-organizationVideo productionTheoretical computer scienceArtificial neural networkbusiness.industryApplication domainComputer scienceArtificial intelligencebusinessTree (graph theory)
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Tree Structured Self-Organizing Maps

1999

Publisher Summary This chapter provides an overview of the tree structured self-organizing maps (TS-SOM). It was originally intended as a fast implementation of the self-organizing map (SOM). The chapter explains that TS-SOM is a constructive smoother for a class of dimension reduction problems. There is a well known relation between self-organizing maps and principal curves. Unfortunately in most presentations it is derived by simple reasoning, avoiding the mathematical statement of the problem, which is essential to understand how efficient SOM implementations can be constructed. In this chapter, SOM is derived as a numerical solution of a generic model in a continuous domain, which diffe…

Self-organizing mapTree (data structure)Theoretical computer scienceArtificial neural networkRelation (database)Simple (abstract algebra)Computer scienceDimensionality reductionConstructiveDomain (software engineering)
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PlaToLoCo: the first web meta-server for visualization and annotation of low complexity regions in proteins

2020

Abstract Low complexity regions (LCRs) in protein sequences are characterized by a less diverse amino acid composition compared to typically observed sequence diversity. Recent studies have shown that LCRs may co-occur with intrinsically disordered regions, are highly conserved in many organisms, and often play important roles in protein functions and in diseases. In previous decades, several methods have been developed to identify regions with LCRs or amino acid bias, but most of them as stand-alone applications and currently there is no web-based tool which allows users to explore LCRs in protein sequences with additional functional annotations. We aim to fill this gap by providing PlaToL…

Sequence analysisAcademicSubjects/SCI00010Protein domainComputational biologyBiologyDomain (software engineering)Computer graphics03 medical and health sciencesAnnotationProtein DomainsSequence Analysis ProteinGeneticsComputer GraphicsHumansAmino Acids030304 developmental biology0303 health sciencesIntersection (set theory)030302 biochemistry & molecular biologyMembrane ProteinsProteinsMolecular Sequence AnnotationVisualizationMolecular Sequence AnnotationWeb Server IssueSoftwareNucleic Acids Research
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A Variational Formulation of the BEM for Elastic-Plastic Analysis

1990

The quasi-static elastic perfectly plastic analysis problem is approached by the boundary element method (BEM). To this purpose, a time semidiscretization is first achieved by finite intervals (Fl) in order to transform, through a variationally consistent procedure, the evolutive problem into a discrete sequence of inelastic holonomic-type “weighted” problems for each of which a mixed boundary/domain min-max principle is established. This principle is then discretized by means of boundary elements (BE) and cell elements (CE), the latter having the only purpose of suitably interpolating the FI weighted yielding laws within the domain. The algebraic governing equations obtained show symmetry …

SequenceDiscretizationMathematical analysisBoundary (topology)Algebraic numberBoundary element methodDomain (mathematical analysis)Symmetry (physics)MathematicsSign (mathematics)
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The space H(Ω,(zj)) of holomorphic functions

2008

Abstract Let Ω be a domain in C n . Let H ( Ω ) be the linear space over C of the holomorphic functions in Ω, endowed with the compact-open topology. Let ( z j ) be a sequence in Ω without adherent points in Ω. In this paper, we define the space H ( Ω , ( z j ) ) and some of its linear topological properties are studied. We also show that, for some domains of holomorphy Ω and some sequences ( z j ) , the non-zero elements of H ( Ω , ( z j ) ) cannot be extended holomorphically outside Ω. As a consequence, we obtain some characterizations of the domains of holomorphy in C n .

SequencePure mathematicsMathematics::Complex VariablesApplied MathematicsLinear spaceAnalytic continuationMathematical analysisHolomorphic functionA domainSpace (mathematics)AnalysisMathematicsJournal of Mathematical Analysis and Applications
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