Search results for "Article [risk assessment EMTREE medical terms]"

showing 10 items of 3753 documents

In situ measurements of background aerosol and subvisible cirrus in the tropical tropopause region

2002

[1] In situ aerosol measurements were performed in the Indian Ocean Intertropical Convergence Zone (ITCZ) region during the Airborne Polar Experiment-Third European Stratospheric Experiment on Ozone (APE-THESEO) field campaign based in Mahe, Seychelles between 24 February and 6 March 1999. These are measurements of particle size distributions with a laser optical particle counter of the Forward Scattering Spectrometer Probe (FSSP)-300 type operated on the Russian M-55 high-altitude research aircraft Geophysica in the tropical upper troposphere and lower stratosphere up to altitudes of 21 km. On 24 and 27 February 1999, ultrathin layers of cirrus clouds were penetrated by Geophysica directly…

subvisualAtmospheric ScienceParticle numberMeteorologyaerosolsubvisible cirrusSoil SciencecirrusAquatic ScienceOceanographyAtmospheric sciencestropicsTroposphereGeochemistry and Petrologytropopauseddc:550Earth and Planetary Sciences (miscellaneous)StratosphereEarth-Surface ProcessesWater Science and TechnologyEcologybackgroundPaleontologyForestryJAerosolGeophysicsLidarSpace and Planetary ScienceEnvironmental scienceCirrusTropopauseParticle counterJournal of Geophysical Research: Atmospheres
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Global analysis of the pMSSM in light of the Fermi GeV excess: prospects for the LHC Run-II and astroparticle experiments

2016

We present a new global fit of the 19-dimensional phenomenological Minimal Supersymmetric Standard Model (pMSSM-19) that comply with all the latest experimental results from dark matter indirect, direct and accelerator dark matter searches. We show that the model provides a satisfactory explanation of the excess of gamma-rays from the Galactic centre observed by the Fermi~Large Area Telescope, assuming that it is produced by the annihilation of neutralinos in the Milky Way halo. We identify two regions that pass all the constraints: the first corresponds to neutralinos with a mass ~80-100 GeV annihilating into WW with a branching ratio of 95% ; the second to heavier neutralinos, with mass ~…

supersymmetry and cosmologyParticle physicsMilky WayAstrophysics::High Energy Astrophysical PhenomenaDark matterFOS: Physical sciencesgamma ray experiments7. Clean energy01 natural sciences0202 Atomic Molecular Nuclear Particle And Plasma PhysicsHigh Energy Physics - Phenomenology (hep-ph)Settore FIS/05 - Astronomia e Astrofisica0103 physical sciencesHigh Energy Physics010306 general physicsGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)PhysicsAnnihilationLarge Hadron Colliderdark matter detectorsdark matter theory010308 nuclear & particles physicsBranching fractionHigh Energy Physics::Phenomenologyhep-phAstronomy and AstrophysicsNuclear & Particles Physics0201 Astronomical And Space SciencesHigh Energy Physics - Phenomenology13. Climate actionExperimental High Energy PhysicsHigh Energy Physics::ExperimentHaloFermi Gamma-ray Space TelescopeMinimal Supersymmetric Standard Model
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Particle tracking in a gap of aquatic vegetation meadow

2009

Aquatic vegetation considerably affects the flow field in water bodies, with influence increasing as the depth decreases. As a consequence, vegetation also affects suspended particle transport. In inshore sandy beds less than 40 m deep of the Mediterranean Sea, meadows of Posidonia oceanica are widespread. This plant is constituted by a tuft of very thin and flexible ribbon-like leaves about 1 cm wide and up to 1.5 m long; the meadow areal density can reach 1000-1200 plant/m2. Frequently, such meadows are not continuous but vegetated areas alternate with sand strips (“gaps”). The presence of such discontinuities noticeably affects the flow field and gaps can actually act as particle traps. …

suspended transportturbulenceshallow waterAquatic vegetationparticle trackingSettore ICAR/01 - Idraulica
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Bounds for Bessel functions

1989

We establish lower and upper bounds for the Bessel functionJ v (x) and the modified Bessel functionI v(x) of the first kind. Our chief tool is the differential equation satisfied by these functions.

symbols.namesakeParticle in a spherically symmetric potentialCylindrical harmonicsBessel processGeneral MathematicsMathematical analysisBessel polynomialsStruve functionsymbolsBessel's inequalityBessel functionLommel functionMathematicsRendiconti del Circolo Matematico di Palermo
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Paschen β line shape studies in low-temperature plasmas

2003

Line shape calculations and measurements of the Paschen β line of hydrogen (λ=12818 Å) are reported. Measurements were performed at electron densities of the plasma between 1015 cm-3 and 1016 cm-3. A wall-stabilized arc operated at atmospheric pressure in a helium-hydrogen gas mixture was applied as the excitation source. The radiation of the plasma, originating from nearly homogeneous plasma layers, in the end-on direction, was analyzed. A grating spectrometer equipped with a CCD detector was used for the radiation detection. The measured line profiles are compared with results of available experimental and theoretical Stark broadening data e.g. based on simulation techniques, applied also…

symbols.namesakechemistryAtmospheric pressureSpectrometerStark effectsymbolschemistry.chemical_elementPlasmaAtomic physicsRadiationHeliumParticle detectorLine (formation)SPIE Proceedings
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Measuring Distraction at the Levels of Tactical and Strategic Control: The Limits of Capacity-Based Measures for Revealing Unsafe Visual Sampling Mod…

2011

The control theory of driving suggests that driver distraction can be analyzed as a breakdown of control at three levels. Common approach for analyzing distraction experimentally is to utilize capacity-based measures to assess distraction at the level of operational control. Three driving simulation experiments with 61 participants were organized to evaluate which kind of measures could be used to analyze drivers' tactical visual sampling models and the related effects of distraction while searching textual information on in-car display. The effects of two different text types were evaluated. The utilized capacity-based measures seemed to be insufficient for revealing participants' tactical…

ta113Control theory (sociology)Article SubjectComputer scienceControl (management)Sampling (statistics)Workloadlcsh:QA75.5-76.95Task (project management)Human-Computer InteractionSAFERDistractionStrategic controllcsh:Electronic computers. Computer scienceSimulationCognitive psychologyAdvances in Human-Computer Interaction
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An Approach for Network Outage Detection from Drive-Testing Databases

2012

A data-mining framework for analyzing a cellular network drive testing database is described in this paper. The presented method is designed to detect sleeping base stations, network outage, and change of the dominance areas in a cognitive and self-organizing manner. The essence of the method is to find similarities between periodical network measurements and previously known outage data. For this purpose, diffusion maps dimensionality reduction and nearest neighbor data classification methods are utilized. The method is cognitive because it requires training data for the outage detection. In addition, the method is autonomous because it uses minimization of drive testing (MDT) functionalit…

ta113cellular network drive testing databaseDowntimeArticle SubjectDatabaseComputer Networks and CommunicationsComputer scienceDimensionality reductionData classificationDiffusion mapcomputer.software_genrelcsh:QA75.5-76.95Base stationHandoverCellular networklcsh:Electronic computers. Computer scienceData miningtiedonlouhintacomputerInformation SystemsTest dataJournal of Computer Networks and Communications
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Long-range spin accumulation from heat injection in mesoscopic superconductors with Zeeman splitting

2015

Under the terms of the Creative Commons Attribution License 3.0 (CC-BY).

ta221General Physics and Astronomy02 engineering and technologyZero field splittingengineering.materialsuperconductorsspin7. Clean energy01 natural sciencessymbols.namesake0103 physical sciencesheat injection010306 general physicsta218Spin-½PhysicsSuperconductivityRange (particle radiation)Mesoscopic physicsZeeman effectta214Condensed matter physicsta114Superconducting wire021001 nanoscience & nanotechnologyThermalisationengineeringsymbols0210 nano-technology
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The effects of different combinations of fixed and moving bed bioreactors on rainbow trout (Oncorhynchus mykiss) growth and health, water quality and…

2019

The effect of bioreactor design on nitrification efficiency has been well studied, but less is known about the overall impacts on water quality. Besides nitrification, submerged fixed bed bioreactors (FBBR) trap fine solid particles, whereas moving bed bioreactors (MBBR) grind solids, possibly increasing solids and particle accumulation in the system. In this experiment, the effects of different combinations of fixed bed and moving bed bioreactors on water quality, solids removal, particle size distribution, fish health based on histopathological changes and nitrification efficiency were studied in laboratory scale recirculating aquaculture systems (RAS) with rainbow trout (Oncorhynchus myk…

taudinaiheuttajatbiofiltrationbioreaktoritwater quality monitoringtechnology industry and agriculturehistopathologynitrifikaatioparticle size distributionsuodatusvedenlaatuvesiviljely (kalatalous)
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Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression

2020

Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methods, the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM), in problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential, emphasizing the utility of the problem transformation especially with the EMLM. peerReviewed

the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM)koneoppiminenemphasizing the utility of the problem transformation especially with the EMLM.Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methodsin problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential
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