Search results for "Skew"

showing 10 items of 79 documents

Ocular tilt reaction: a clinical sign of cerebellar infarctions?

2009

Ocular tilt reaction (OTR) consists of head tilt, ocular torsion (OT), and skew deviation (SKD) combined with perceptual tilts such as deviations of the subjective visual vertical (SVV). Few case reports have shown that OTR also occurs in patients with cerebellar infarctions.1–4 However, no systematic clinical studies are available on the frequency of signs of OTR in patients with cerebellar lesions. Therefore, the questions arose as to whether OTR is a common clinical sign of an acute cerebellar lesion and whether the time course of its components is similar to those from brainstem infarctions. The cerebellar structures involved in 31 patients were studied in detail elsewhere.5 ### Methods…

Brain InfarctionMalemedicine.medical_specialtyCerebellar lesionsSensitivity and SpecificityCentral nervous system diseaseCerebellar DiseasesTilt-Table Testmedicine.arteryCerebellummedicineSkew deviationHumansAgedAged 80 and overmedicine.diagnostic_testVascular diseasebusiness.industryVision TestsReproducibility of ResultsMiddle AgedVestibular Function Testsmedicine.diseaseSurgeryAnterior inferior cerebellar arteryElectronystagmographyFemaleNeurology (clinical)RadiologyOcular tilt reactionBrainstembusinessNeurology
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Approaches to characterise chromatographic column performance based on global parameters accounting for peak broadening and skewness.

2009

Peak broadening and skewness are fundamental parameters in chromatography, since they affect the resolution capability of a chromatographic column. A common practice to characterise chromatographic columns is to estimate the efficiency and asymmetry factor for the peaks of one or more solutes eluted at selected experimental conditions. This has the drawback that the extra-column contributions to the peak variance and skewness make the peak shape parameters depend on the retention time. We propose and discuss here the use of several approaches that allow the estimation of global parameters (non-dependent on the retention time) to describe the column performance. The global parameters arise f…

Chromatography Reverse-PhaseChromatographyAcetonitrilesResolution (mass spectrometry)ChemistryElutionOrganic ChemistryAdrenergic beta-AntagonistsLinear modelNormal DistributionGeneral MedicineReversed-phase chromatographyBiochemistryColumn (database)Standard deviationAnalytical ChemistryNormal distributionModels ChemicalSkewnessBenzene DerivativesLinear ModelsDiureticsJournal of chromatography. A
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Parabolic-Lorentzian modified Gaussian model for describing and deconvolving chromatographic peaks.

2002

Abstract A new mathematical model for characterising skewed chromatographic peaks, which improves the previously reported polynomially modified Gaussian (PMG) model, is proposed. The model is a Gaussian based equation whose variance is a combined parabolic-Lorentzian function. The parabola accounts for the non-Gaussian shaped peak, whereas the Lorentzian function cancels the variance growth out of the elution region, which gives rise to a problematic baseline increase in the PMG model. The proposed parabolic-Lorentzian modified Gaussian (PLMG) model makes a correct description of peaks showing a wide range of asymmetry with positive and/or negative skewness. The new model is shown to give b…

ChromatographyChromatographyModels StatisticalChemistryGaussianOrganic ChemistryCauchy distributionGeneral MedicineFunction (mathematics)BiochemistryAnalytical Chemistrysymbols.namesakeSkewnesssymbolsKurtosisDeconvolutionGaussian network modelAntibacterial agentJournal of chromatography. A
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Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics

2012

In this paper we propose a firing statistics based neuronal network burst detection algorithm for neuronal networks exhibiting highly variable action potential dynamics. Electrical activity of neuronal networks is generally analyzed by the occurrences of spikes and bursts both in time and space. Commonly accepted analysis tools employ burst detection algorithms based on predefined criteria. However, maturing neuronal networks, such as those originating from human embryonic stem cells (hESC), exhibit highly variable network structure and time-varying dynamics. To explore the developing burst/spike activities of such networks, we propose a burst detection algorithm which utilizes the firing s…

Computer scienceNeuroscience (miscellaneous)Interval (mathematics)ta3112lcsh:RC321-57103 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineMoving averageHistogramBiological neural networkMethods Articleburst analysislcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biology0303 health sciencesspike trainsQuantitative Biology::Neurons and Cognitionmicroelectrode arrayMEAaction potential burstsdeveloping neuronal networksMultielectrode arrayhuman embryonic stem cellsPower (physics)nervous systemSkewnesshESCsSpike (software development)Biological systemNeuroscience030217 neurology & neurosurgeryNeuroscienceFrontiers in Computational Neuroscience
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An Improved Skew Angle Detection and Correction Technique for Historical Scanned Documents Using Morphological Skeleton and Progressive Probabilistic…

2017

International audience; Skew detection is a crucial step for document analysis systems. Indeed, it represents one of the basic challenges, especially in case of historical documents analysis. In this paper, we propose a novel robust skew angle detection and correction technique. Morphological Skeleton is introduced to significantly reduce the amount of data to treat by removing the redundant pixels and keeping only the central curves of the image components. The proposed method then uses Progressive Probabilistic Hough Transform (PPHT) to identify image lines. A special procedure is finally applied in order to estimate the global skew angle of the document image from these detected lines. E…

Computer science[SPI] Engineering Sciences [physics]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONDocument image analysis02 engineering and technology01 natural sciencesElectronic mail[SPI]Engineering Sciences [physics]Robustness (computer science)HistogramOrientation0103 physical sciencesMorphological skeleton0202 electrical engineering electronic engineering information engineering010306 general physicsMorphological SkeletonProbabilistic hough transformPixelbusiness.industrySkewProbabilistic logicPattern recognitionProgressive Probabilistic Hough Transform[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsSkew correctionAlgorithmImages020201 artificial intelligence & image processingArtificial intelligencebusinessSkew angle detection
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A Skewed GARCH-in-Mean Model: An Application to U.S. Stock Returns

2004

In this paper we consider a GARCH-in-Mean (GARCH-M) model based on the so-called z distribution. This distribution is capable of modeling moderate skewness and kurtosis typically encountered in financial return series, and the need to allow for skewness can be readily tested. We apply the new GARCH-M model to study the relationship between risk and return in monthly postwar U.S. stock market data. Our results indicate the presence of conditional skewness in U.S. stock returns, and, in contrast to the previous literature, we show that a positive and significant relationship between return and risk can be uncovered, once an appropriate probability distribution is employed to allow for conditi…

Conditional skewness GARCH-in-Mean Risk-return tradeoffjel:C22jel:C16jel:G12
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A granulometric analysis of specular microscopy images of human corneal endothelia

2005

The inner layer of the human cornea, called the corneal endothelium, plays an important role in the maintenance of corneal transparency. Specular microscopy is the most widely used technique to study the corneal endothelium in vivo. Improvements in technology have allowed us to obtain good quality specular images, but the detection and quantification of small size-shape cell changes is not obvious, specially when the physician wants to evaluate endothelial cell changes after some surgical procedures. This paper proposes a methodology to analyze specular microscopy images. Every corneal endothelium is described by means of different cumulative distribution functions or some moments (mean, st…

Corneal endotheliumgenetic structuresCoefficient of variationCumulative distribution functioneye diseasesStandard deviationmedicine.anatomical_structureSkewnessCorneaSignal ProcessingmedicineKurtosissense organsComputer Vision and Pattern RecognitionSoftwareShape analysis (digital geometry)MathematicsBiomedical engineeringComputer Vision and Image Understanding
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Lie nilpotence of group rings

1993

Let FG be the group algebra of a group G over a field F. Denote by ∗ the natural involution, (∑fi gi -1. Let S and K denote the set of symmetric and skew symmetric and skew symmetric elements respectively with respect to this involutin. It is proved that if the characteristic of F is zero p≠2 and G has no 2-elements, then the Lie nilpotence of S or K implies the Lie nilpotence of FG.

Discrete mathematicsPure mathematicsAlgebra and Number TheoryRepresentation of a Lie groupTriple systemSimple Lie groupAdjoint representationSkew-symmetric matrixWeightGroup algebraGroup ringMathematicsCommunications in Algebra
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Group algebras and Lie nilpotence

2013

Abstract Let ⁎ be an involution of a group algebra FG induced by an involution of the group G. For char F ≠ 2 , we classify the groups G with no 2-elements and with no nonabelian dihedral groups involved whose Lie algebra of ⁎-skew elements is nilpotent.

Discrete mathematicsPure mathematicsAlgebra and Number TheorySimple Lie group010102 general mathematicsMathematics::Rings and AlgebrasUniversal enveloping algebra0102 computer and information sciencesGroup algebraSkew-symmetric element01 natural sciencesRepresentation theoryLie conformal algebraGraded Lie algebraRepresentation of a Lie groupgroup algebra unit010201 computation theory & mathematicsLie nilpotentGroup algebra0101 mathematicsNilpotent groupANÉIS E ÁLGEBRAS ASSOCIATIVOSMathematicsJournal of Algebra
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Transitive partially hyperbolic diffeomorphisms on 3-manifolds

2005

Abstract The known examples of transitive partially hyperbolic diffeomorphisms on 3-manifolds belong to 3 basic classes: perturbations of skew products over an Anosov map of T 2 , perturbations of the time one map of a transitive Anosov flow, and certain derived from Anosov diffeomorphisms of the torus T 3 . In this work we characterize the two first types by a local hypothesis associated to one closed periodic curve.

Discrete mathematicsTransitive relationPure mathematicsMathematics::Dynamical Systems010102 general mathematics05 social sciencesSkewTorus01 natural sciencesMathematics::Geometric TopologyFlow (mathematics)Structural stability0502 economics and businessAnosov diffeomorphismGeometry and Topology0101 mathematicsMathematics::Symplectic Geometry050203 business & managementMathematicsTopology
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