Search results for "vector"

showing 10 items of 2660 documents

Treatment of Anderson-Fabry Disease

2020

Fabry disease is an X-linked disorder of glycosphingolipid metabolism that results in progressive accumulation of neutral glycosphingolipids, predominantly globotriaosylsphingosine (Gb3) in lysosomes, as well as other cellular compartments of several tissues, causing multi-organ manifestations (acroparesthesias, hypohidrosis, angiokeratomas, signs and symptoms of cardiac, renal, cerebrovascular involvement). Pathogenic mutations lead to a deficiency of the lysosomal enzyme alpha-galactosidase A (GLA). In the presence of high clinical suspicion, a careful physical examination and specific laboratory tests are required. Finally, the diagnosis of Fabry’s disease is confirmed by the demonstrat…

Viral vectorsMaleGenetic enhancementChaperone therapyPhysical examinationDiseaseKidneyViral vector03 medical and health sciencesGene therapy0302 clinical medicineDrug DiscoverymedicineHumansEnzyme Replacement Therapy030304 developmental biologyPharmacology0303 health sciencesmedicine.diagnostic_testbusiness.industryPharmacologicalGenetic TherapyEnzyme replacement therapymedicine.diseaseFabry diseasePharmacological chaperonealpha-GalactosidaseImmunologyFabry DiseaseFemaleStem cellbusiness030217 neurology & neurosurgerymedicine.drugCurrent Pharmaceutical Design
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A Comparative Study of Nonlinear Machine Learning for the "In Silico" Depiction of Tyrosinase Inhibitory Activity from Molecular Structure.

2011

In the preset report, for the first time, support vector machine (SVM), artificial neural network (ANN), Baye- sian networks (BNs), k-nearest neighbor (k-NN) are applied and compared on two "in-house" datasets to describe the tyrosinase inhibitory activity from the molecular structure. The data set Data I is used for the identification of tyrosi- nase inhibitors (TIs) including 701 active and 728 inactive compounds. Data II consists of active chemicals for potency estimation of TIs. The 2D TOMOCOMD-CARDD atom-based quadratic indices are used as molecular descriptors. The de- rived models show rather encouraging results with the areas under the Receiver Operating Characteristic (AURC) curve …

Virtual screeningArtificial neural networkComputer sciencebusiness.industryOrganic ChemistryMachine learningcomputer.software_genreComputer Science ApplicationsSupport vector machineData setStructural BiologyMolecular descriptorTest setDrug DiscoveryMultiple comparisons problemMolecular MedicineArtificial intelligencebusinesscomputerChemical databaseMolecular informatics
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Visual acuity with computer simulated and lens-induced astigmatism

2014

[EN] The relationship between spherical and astigmatic refractive errors and their associated visual acuity is investigated in this work by means of two different approaches. In the first one, different refractive errors were induced in normal subjects by trial lenses. In the second one, defocused images were simulated numerically by the optical transfer function of a model eye and then judged by the same subjects. The amount of defocus (measured in terms of the modulus of the dioptric power vector) necessary to reduce the visual acuity to 0.1 logMAR and to 0.4 logMAR was computed with each method and then compared. We found that the visual system is clearly more tolerant to lens-induced de…

Visual acuitySimulated defocusFISICA APLICADAAstigmatismZernike polynomialsPower vectorvisual acuity simulated defocus astigmatism lens-induced defocus power vector Zernike polynomialsLens-induced defocus
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CheS-Mapper 2.0 for visual validation of (Q)SAR models

2014

Abstract Background Sound statistical validation is important to evaluate and compare the overall performance of (Q)SAR models. However, classical validation does not support the user in better understanding the properties of the model or the underlying data. Even though, a number of visualization tools for analyzing (Q)SAR information in small molecule datasets exist, integrated visualization methods that allow the investigation of model validation results are still lacking. Results We propose visual validation, as an approach for the graphical inspection of (Q)SAR model validation results. The approach applies the 3D viewer CheS-Mapper, an open-source application for the exploration of sm…

Visualization methodsComputer scienceFeature vectorLibrary and Information Sciencescomputer.software_genre01 natural sciences(Q)SARModel validation03 medical and health sciencesSoftwareValidationOverall performancePhysical and Theoretical ChemistryVisualization030304 developmental biology0303 health sciencesbusiness.industryStatistical validationComputer Graphics and Computer-Aided Design0104 chemical sciencesComputer Science ApplicationsVisualization010404 medicinal & biomolecular chemistry3d space3D spaceData miningbusinesscomputerSoftwareJournal of Cheminformatics
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Constraining the spin-dependent WIMP-nucleon cross sections with XENON1T

2019

We report the first experimental results on spin-dependent elastic weakly interacting massive particle (WIMP) nucleon scattering from the XENON1T dark matter search experiment. The analysis uses the full ton year exposure of XENON1T to constrain the spin-dependent proton-only and neutron-only cases. No significant signal excess is observed, and a profile likelihood ratio analysis is used to set exclusion limits on the WIMP-nucleon interactions. This includes the most stringent constraint to date on the WIMP-neutron cross section, with a minimum of 6.3 × 10−42 cm2 at 30 GeV/c2 and 90% confidence level. The results are compared with those from collider searches and used to exclude new paramet…

WIMP nucleon: interactionWIMP nucleon: scatteringParticle physicsCosmology and Nongalactic Astrophysics (astro-ph.CO)IsoscalarDark matterNuclear TheoryMassive particleGeneral Physics and AstronomyFOS: Physical sciencesParameter spacedark matter: direct detectionGravitation and Astrophysicsspin: dependence01 natural scienceslaw.inventionHigh Energy Physics - Phenomenology (hep-ph)WIMPlawisoscalar0103 physical sciencesS046DM1mediation010306 general physicsColliderPseudovectorPhysicsS030DN2S030DN1S030DP3S030DN3S030DP2S030DP1WIMP nucleon: cross sectionaxial-vectorHigh Energy Physics - PhenomenologyWIMPs Spin Dependent Cross Sections Neutron Cross Sections Likelihood methoddark matter: scattering[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]High Energy Physics::ExperimentNucleon[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Astrophysics - Cosmology and Nongalactic Astrophysicsexperimental results
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Combination of Searches for Invisible Higgs Boson Decays with the ATLAS Experiment

2019

Dark matter particles, if sufficiently light, may be produced in decays of the Higgs boson. This Letter presents a statistical combination of searches for H → invisible decays where H is produced according to the standard model via vector boson fusion, Z(ℓℓ)H, and W/Z(had)H, all performed with the ATLAS detector using 36.1  fb⁻¹ of pp collisions at a center-of-mass energy of √s = 13  TeV at the LHC. In combination with the results at √s = 7 and 8 TeV, an exclusion limit on the H → invisible branching ratio of 0.26(0.17-0.05+0.07) at 95% confidence level is observed (expected).

WIMP nucleon: scatteringMATÉRIA ESCURA13000 GeV-cmsGeneral Physics and Astronomy01 natural sciencesWIMP: dark matterVector bosonHigh Energy Physics - Experimentdark matter [WIMP]Subatomär fysikHiggs particle: hadroproductionHigh Energy Physics - Experiment (hep-ex)vector boson: fusionSubatomic Physicsscattering [p p]S126.7[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Z0: hadronic decayvector boson: associated productionPhysicsS030DMPLarge Hadron Colliderhadronic decay [Z0]ATLAS experimentSettore FIS/01 - Fisica SperimentaleConfidence levelsBranching ratioATLAS:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]Vector bosonmedicine.anatomical_structureThe standard modelCERN LHC CollHiggs particle: branching ratio: upper limitHiggs bosonLHCgamma-ray excesscolliding beams [p p]Particle Physics - ExperimentS126:Desig=7Particle physicsp p: scattering530 PhysicsCiências Naturais::Ciências FísicasHiggs bosonDark matter:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesATLAS experimentHiggs particle: invisible decaybranching ratio: upper limit [Higgs particle]LHC ATLAS High Energy Physicsddc:500.2fusion [vector boson]530Standard ModelmodelsParticle dark matterAtlas (anatomy)0103 physical sciencesmedicineDark matterddc:530High Energy Physics010306 general physicshadronic decay [W]Ciencias ExactasATLAS CollaborationW: hadronic decayScience & TechnologyBranching fractionscattering [WIMP nucleon]hep-exATLAS detectorsHigh Energy Physics::Phenomenology:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]Físicaleptonic decay [Z0]Higgs Boson decayInvisible decaysExperimental High Energy PhysicsZ0: leptonic decayExtensions of Higgs sectorDark matter particlesElementary Particles and Fieldshadroproduction [Higgs particle]associated production [vector boson]High Energy Physics::ExperimentHadron-hadron collisionsstatisticalp p: colliding beamsinvisible decay [Higgs particle]experimental results
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ELM Regularized Method for Classification Problems

2016

Extreme Learning Machine (ELM) is a recently proposed algorithm, efficient and fast for learning the parameters of single layer neural structures. One of the main problems of this algorithm is to choose the optimal architecture for a given problem solution. To solve this limitation several solutions have been proposed in the literature, including the regularization of the structure. However, to the best of our knowledge, there are no works where such adjustment is applied to classification problems in the presence of a non-linearity in the output; all published works tackle modelling or regression problems. Our proposal has been applied to a series of standard databases for the evaluation o…

Wake-sleep algorithmComputer sciencebusiness.industryTraining timeBayesian probability02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesRegularization (mathematics)Support vector machine010104 statistics & probabilityArtificial Intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligence0101 mathematicsbusinessRegression problemscomputerSingle layerExtreme learning machineInternational Journal on Artificial Intelligence Tools
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Fast relaxation phenomena and slow mode in extended thermodynamics of superfluids

2003

A macroscopic monofluid model of liquid helium II which is based on extended thermodynamics was formulated in previous works, both in the presence and in the absence of dissipative phenomena. In all these studies, the time evolution of the nonequilibrium stress tensor was neglected, putting the relaxation times @t"0 and @t"2 of the nonequilibrium pressure and of the stress deviator equal to zero. In this work, the time evolution of these fields is not neglected and the complete model with 14 fields is studied, in the linear approximation. The propagation of waves is studied and a dispersion relation of degree 14 is obtained. The solutions of this equation are carried out, perturbing the sol…

Wave propagationCauchy stress tensorTime evolutionNon-equilibrium thermodynamicsThermodynamicsComputer Science ApplicationsSuperfluidityClassical mechanicsModeling and SimulationDispersion relationModelling and SimulationDissipative systemVector fieldMathematicsMathematical and Computer Modelling
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Elastic waves in random-fibre networks

1997

The propagation of the first displacement maximum of a semi-infinite wavetrain in a two-dimensional random-fibre network is analysed. Model calculations and numerical simulations are used for demonstrating that two qualitatively different wavefront velocities appear in the network. A transient wave, which travels fast and whose amplitude decreases exponentially, dominates the short-time behaviour when the bending stiffness of the fibres is small and the driving frequency is high. This mode can be described by a one-dimensional model. The transient-wave mode propagates even if the bending stiffness of the fibres vanishes, in which case the normal sound velocity is zero. The usual, and slower…

WavefrontPhysicsClassical mechanicsAmplitudeBending stiffnessMode (statistics)General Physics and AstronomyTransient wavesStatistical and Nonlinear PhysicsMechanicsMathematical PhysicsDisplacement (vector)Journal of Physics A: Mathematical and General
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Considerations on the electromagnetic flow in Airy beams based on the Gouy phase

2012

We reexamine the Gouy phase in ballistic Airy beams (AiBs). A physical interpretation of our analysis is derived in terms of the local phase velocity and the Poynting vector streamlines. Recent experiments employing AiBs are consistent with our results. We provide an approach which potentially applies to any finite-energy paraxial wave field that lacks a beam axis. This research was funded by the Spanish Ministry of Economy and Competitiveness under the project TEC2009-11635.

WavefrontPhysicsWave propagationbusiness.industryWave propagationParaxial approximationPhase (waves)Physics::OpticsModels TheoreticalAtomic and Molecular Physics and OpticsElectromagnetic FieldsOpticsClassical mechanicsPhaseDiffraction theoryPoynting vectorScattering RadiationComputer SimulationStreamlines streaklines and pathlinesPhase velocitybusinessAlgorithmsBeam (structure)Óptica
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