Search results for "methods"

showing 10 items of 4526 documents

Kardiovaskulārā skrīninga nepieciešamība

2020

KOPSAVILKUMS Priekšvēsture: Sirds un asinsvadu slimības ir galvenais nāves cēlonis rūpniecības valstīs pasaulē. Sirds un asinsvadu slimību skrīnings samazina pēkšņu nāves gadījumu skaitu. Šī darba cēlonis: ir pierādīt skrīninga nozīmi sirds un asinsvadu sistēmā. Mērķi: analizēt sirds un asinsvadu sistēmas skrīninga nepieciešamību, analizējot sirds un asinsvadu slimību riska faktorus, sirds un asinsvadu sistēmas skrīninga metodes, pierādījumus par sirds un asinsvadu sistēmas skrīninga efektivitāti un ekonomiski izdevīgi un efektīvi sirds un asinsvadu sistēmas skrīninga metodes. Materiāli un metodes: Šis ir retroaktīvs meta-pētījums literatūras apskats. Tika pārskatīti 130 pētījumi. 118 tika …

evidencecardiovascularscreeningrisk factorsMedicīnamethods
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Optimization of Delayed-State Kalman-Filter-based Algorithm via Differential Evolution for Sensorless Control of Induction Motors

2010

This paper proposes the employment of the differential evolution (DE) to offline optimize the covariance matrices of a new reduced delayed-state Kalman-filter (DSKF)-based algorithm which estimates the stator-flux linkage components, in the stationary reference frame, to realize sensorless control of induction motors (IMs). The DSKF-based algorithm uses the derivatives of the stator-flux components as mathematical model and the stator-voltage equations as observation model so that only a vector of four variables has to be offline optimized. Numerical results, carried out using a low-speed training test, show that the proposed DE-based approach is very promising and clearly outperforms a cla…

evolutionary algorithms (EAs)induction-motor (IM) drivesvelocity controlspeed sensorlessProportional controlcovariance matricesKalman filteralgorithmsSliding mode controlControl and Systems EngineeringRobustness (computer science)Control theoryAC motor drivesDifferential evolutionoptimization methodsstate estimationElectrical and Electronic EngineeringRobust controlparameter estimationAlgorithmStationary Reference FrameKalman filteringInduction motorMathematics
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Shape evolution in even-even N≤126, Z≥82 nuclei

2010

The shape evolution in the neutron-de cient lead, polonium and radium nuclei has been investigated via in-beam and delayed y-ray and conversion electron spectroscopy. The lead isotope 180Pb is found to still exhibit prolate excited structure, related to the known intruder structures in the heavier isotopes. The production cross-section of 180Pb was only 10 nb, one of the lowest ever employed in an in-beam experiment. A candidate for an excited prolate band was found in 192Po, making it the rst polonium isotope for which both oblate and prolate rotational bands have been established. Contrary to the previous results, the current experiments indicate that the onset of deformation in the radiu…

exotic nucleiRecoil Decay TaggingTotal Data Readoutshape coexistencedata analysis methods
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Optically pumped Cs magnetometers enabling a high-sensitivity search for the neutron electric dipole moment

2020

An array of 16 laser-pumped scalar Cs magnetometers was part of the neutron electric dipole moment (nEDM) experiment taking data at the Paul Scherrer Institute in 2015 and 2016. It was deployed to measure the gradients of the experiment's magnetic field and to monitor their temporal evolution. The originality of the array lies in its compact design, in which a single near-infrared diode laser drives all magnetometers that are located in a high-vacuum chamber, with a selection of the sensors mounted on a high-voltage electrode. We describe details of the Cs sensors' construction and modes of operation, emphasizing the accuracy and sensitivity of the magnetic-field readout. We present two app…

experimental methodsAtomic Physics (physics.atom-ph)EXPERIMENTAL LIMITPhysics Atomic Molecular & Chemicalnucl-ex01 natural sciencesPhysics - Atomic PhysicsHigh Energy Physics - Experimentlaw.inventionHigh Energy Physics - Experiment (hep-ex)law[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)n: spinNuclear ExperimentPhysicsn: electric momentPhysicsincluding interactions with strong fields and short pulsesMagnetic fieldAtomic and molecular processes in external fieldsPhysical SciencesParticle Physics - ExperimentNeutron electric dipole momentMagnetometerOther Fields of PhysicsFOS: Physical sciencesmagnetic field: gradient[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]physics.atom-phOptics0103 physical sciencesNeutronNuclear Physics - ExperimentSensitivity (control systems)010306 general physicsDiodeScience & Technology010308 nuclear & particles physicsbusiness.industryhep-exScalar (physics)OpticssensitivityLaser[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]laserfield strengthtime dependencebusinessexperimental results
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First measurement of proton's charge form factor at very low $Q^2$ with initial state radiation

2017

We report on a new experimental method based on initial-state radiation (ISR) in e-p scattering, in which the radiative tail of the elastic e-p peak contains information on the proton charge form factor ($G_E^p$) at extremely small $Q^2$. The ISR technique was validated in a dedicated experiment using the spectrometers of the A1-Collaboration at the Mainz Microtron (MAMI). This provided first measurements of $G_E^p$ for $0.001\leq Q^2\leq 0.004 (GeV/c)^2$.

experimental methodsProtonelastic scattering01 natural sciencesHigh Energy Physics - ExperimentLamb shiftHigh Energy Physics - Experiment (hep-ex)Initial state radiation ; Proton ; Form factor ; Radiative correctionsRadiative transfer[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][ PHYS.NEXP ] Physics [physics]/Nuclear Experiment [nucl-ex]Nuclear Experiment (nucl-ex)Nuclear ExperimentNuclear ExperimentMicrotronElastic scatteringPhysicsForm factor (quantum field theory)beam: currentRadiative correctionslcsh:QC1-9993. Good healthPRIRODNE ZNANOSTI. Fizika.ProtonNuclear and High Energy PhysicsFOS: Physical sciencesBethe-Heitler25.30.BfRadiation[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]Nuclear physicselectron p: scatteringMainz Linac[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]12.20.-m0103 physical sciencesradiation: initial-state interaction010306 general physicsnumerical calculationsform factor: charge41.60.-m010308 nuclear & particles physicsScatteringp: chargeNATURAL SCIENCES. Physics.microtronForm factorLamb shiftspectrometerInitial state radiationlcsh:Physicsexperimental results
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Multiband variability studies and novel broadband SED modeling of Mrk 501 in 2009

2017

Astronomy and astrophysics 603, A31 (2017). doi:10.1051/0004-6361/201629540

extragalactic background lightmultiwavelength observationsAstrophysics::High Energy Astrophysical Phenomenabl-lacertae objectsGalaxies: BL Lacertae objects: individual: Markarian 501 ; Methods: data analysis ; observational ; Polarizationspectral energy-distributionFluxFOS: Physical sciencesAstrophysics01 natural scienceslaw.inventionindividual: Markarian 501 [BL Lacertae objects]lawCoincident0103 physical sciencesddc:530MAGIC (telescope)crab-nebulaBlazardata analysis [Methods]010303 astronomy & astrophysicsPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)tev blazars010308 nuclear & particles physicsstochastic accelerationtelescope observationsInstitut für Physik und AstronomieAstronomy and AstrophysicsAstronomy and Astrophysicgamma-ray emissionmethods: data analysis520BL Lacertae objects: individual: Markarian 501; Methods: data analysisSynchrotrondata analysi [Methods]BL Lacertae objects: individual: Markarian 501; Methods: data analysis; Astronomy and Astrophysics; Space and Planetary ScienceBL Lacertae objects: individual: Markarian 501x-raySpace and Planetary Scienceddc:520ElectrónicaFísica nuclearElectricidadDegeneracy (mathematics)Astrophysics - High Energy Astrophysical PhenomenaFlareBL Lac object
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Emulating the Effects of Radiation-Induced Soft-Errors for the Reliability Assessment of Neural Networks

2021

International audience; Convolutional Neural Networks (CNNs) are currently one of the most widely used predictive models in machine learning. Recent studies have demonstrated that hardware faults induced by radiation fields, including cosmic rays, may significantly impact the CNN inference leading to wrong predictions. Therefore, ensuring the reliability of CNNs is crucial, especially for safety-critical systems. In the literature, several works propose reliability assessments of CNNs mainly based on statistically injected faults. This work presents a software emulator capable of injecting real faults retrieved from radiation tests. Specifically, from the device characterisation of a DRAM m…

fault injectionComputer scienceNeural netsInferenceRadiation effectsRadiation inducedFault (power engineering)Convolutional neural networkSoftwareFault injectionComputer Science (miscellaneous)[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsReliability (statistics)reliabilityArtificial neural networkApproximate methodsEvent (computing)business.industryReliabilityComputer Science Applications[SPI.TRON]Engineering Sciences [physics]/ElectronicsHuman-Computer Interactionneural netsComputer engineeringapproximate methodsradiation effects[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsbusinessInformation Systems
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Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data

2022

In preparation for new-generation imaging spectrometer missions and the accompanying unprecedented inflow of hyperspectral data, optimized models are needed to generate vegetation traits routinely. Hybrid models, combining radiative transfer models with machine learning algorithms, are preferred, however, dealing with spectral collinearity imposes an additional challenge. In this study, we analyzed two spectral dimensionality reduction methods: principal component analysis (PCA) and band ranking (BR), embedded in a hybrid workflow for the retrieval of specific leaf area (SLA), leaf area index (LAI), canopy water content (CWC), canopy chlorophyll content (CCC), the fraction of absorbed photo…

feature selectionCHIMEactive learningGeneral Earth and Planetary Scienceshybrid methodPRISMAprincipal component analysibiochemical and biophysical traitGaussian process regressionPRISMA; CHIME; hybrid methods; biochemical and biophysical traits; Gaussian process regression; active learning; principal component analysis; feature selectionRemote Sensing
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Effects of Water Immersion Methods on Postexercise Recovery of Physical and Mental Performance

2019

The aim of this study was to compare the effectiveness of 3 water immersion interventions performed after active recovery compared with active recovery only on physical and mental performance measures and physiological responses. The subjects were physically active men (age 20–35 years, mean ± SD 26 ± 3.7 years). All subjects performed a short-term exercise protocol, including maximal jumps and sprinting. Four different recovery methods (10 minutes) were used in random order: cold water immersion (CWI, 10° C), thermoneutral water immersion (TWI, 24° C), and contrast water therapy (CWT, alternately 10° C and 38° C). All these methods were performed after an active recovery (10-minute bicycle…

feelings of relaxationrecovery methodspalautuminenkylpyhoitokylmähoitorentoutushormoniturheilijat
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W.H. Walsh’s Idea of Colligation Reconsidered

2020

Essay on: W.H. Walsh´s Idea of Colligation Reconsidered

filosofithistory of ideasWalsh William Henryw.h. walshGR1-950essayintellectual historyhistoriaHistory (General)GN1-890methodsphilosophy of historyconceptual historyhistorianfilosofiafilosofiaAnthropologyDD1-2009History (General) and history of EuropecolligationFolkloreJ@rgonia
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