Search results for "VECTOR"

showing 10 items of 2660 documents

Housing market shocks in italy: A GVAR approach

2020

Abstract In this paper, we use a Global Vector Autoregression (GVAR) model to assess the spatio-temporal mechanism of house price spillovers, also known as “ripple effect”, among 93 Italian provincial housing markets, over the period 2004 − 2016 . In order to better capture the local housing market dynamics, we use data not only on house prices but also on transaction volumes. In particular, we focus on estimating, to what extent, exogenous shocks, interpreted as negative housing demand shocks, arising from 10 Italian regional capitals, impact on their house prices and sales and how these shocks spill over to neighbours housing markets. The negative housing market demand shock hitting the G…

040101 forestryEconomics and Econometrics05 social sciencesHousing market prices and volumes04 agricultural and veterinary sciencesMonetary economicsVector autoregressionSupply and demandShock (economics)House priceDemand shockOrder (exchange)0502 economics and businessGlobal VAREconomics0401 agriculture forestry and fisheriesSign restrictions050207 economicsDatabase transactionImpulse responseRipple effect
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Cell state prediction through distributed estimation of transmit power

2019

Determining the state of each cell, for instance, cell outages, in a densely deployed cellular network is a difficult problem. Several prior studies have used minimization of drive test (MDT) reports to detect cell outages. In this paper, we propose a two step process. First, using the MDT reports, we estimate the serving base station’s transmit power for each user. Second, we learn summary statistics of estimated transmit power for various networks states and use these to classify the network state on test data. Our approach is able to achieve an accuracy of 96% on an NS-3 simulation dataset. Decision tree, random forest and SVM classifiers were able to achieve a classification accuracy of…

050101 languages & linguisticsComputer science05 social sciencesProcess (computing)Decision tree5G-tekniikka02 engineering and technologymatkaviestinverkotTransmitter power outputcomputer.software_genreRandom forestcell outage detectionSupport vector machineBase stationmachine learningkoneoppiminen0202 electrical engineering electronic engineering information engineeringCellular network5G cellular networks020201 artificial intelligence & image processing0501 psychology and cognitive sciencesData miningcomputerTest data
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Attention-based Model for Evaluating the Complexity of Sentences in English Language

2020

The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deep learning- based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in tw…

050101 languages & linguisticsComputer scienceText simplificationcomputer.software_genredeep-learningNLPDeep Learning0501 psychology and cognitive sciencestext simplificationBaseline (configuration management)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaArtificial neural networktext-complexity-evaluationbusiness.industryDeep learning05 social sciences050301 educationExtension (predicate logic)AutomationAutomatic Text SimplificationSupport vector machineArtificial intelligencebusiness0503 educationcomputerNatural language processingSentence
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Rho resonance, timelike pion form factor, and implications for lattice studies of the hadronic vacuum polarization

2020

We study isospin-1 P-wave ππ scattering in lattice QCD with two flavors of O(a) improved Wilson fermions. For pion masses ranging from mπ=265 MeV to mπ=437 MeV, we determine the energy spectrum in the center-of-mass frame and in three moving frames. We obtain the scattering phase shifts using Lüscher’s finite-volume quantization condition. Fitting the dependence of the phase shifts on the scattering momentum to a Breit-Wigner form allows us to determine the corresponding ρ mass mρ and gρππ coupling. By combining the scattering phase shifts with the decay matrix element of the vector current, we calculate the timelike pion form factor, Fπ, and compare the results to the Gounaris-Sakurai repr…

1 [isospin]Particle physicsdecay constant [rho(770)]High Energy Physics::Latticeclover [fermion]energy spectrumFOS: Physical sciencesWilson [quark]01 natural sciencesphase shiftHigh Energy Physics - LatticePionvector [correlation function]Charge radius0103 physical sciencesmagnetic moment [muon]quantum chromodynamicsmass [rho(770)]hadronic [vacuum polarization]ddc:530Vacuum polarizationflavor: 2 [quark]010306 general physicsnumerical calculationscharge radius [pi]PhysicsMuonAnomalous magnetic dipole moment010308 nuclear & particles physicsScatteringHigh Energy Physics - Lattice (hep-lat)scatteringlattice field theoryLattice QCDFermionBreit-Wignermass dependence [quark]form factor [pi]effect [finite size]vector [current]quantizationPhysical Review D
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Magic informationally complete POVMs with permutations

2017

Eigenstates of permutation gates are either stabilizer states (for gates in the Pauli group) or magic states, thus allowing universal quantum computation [M. Planat and Rukhsan-Ul-Haq, Preprint 1701.06443]. We show in this paper that a subset of such magic states, when acting on the generalized Pauli group, define (asymmetric) informationally complete POVMs. Such IC-POVMs, investigated in dimensions $2$ to $12$, exhibit simple finite geometries in their projector products and, for dimensions $4$ and $8$ and $9$, relate to two-qubit, three-qubit and two-qutrit contextuality.

1003permutation groups159informationally complete povmsFOS: Physical sciences01 natural sciences157[SPI.MAT]Engineering Sciences [physics]/Materialslaw.inventionCombinatorics81P50 81P68 81P13 81P45 20B05Permutationlaw0103 physical sciences1009[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics010306 general physicslcsh:ScienceEigenvalues and eigenvectorsQuantum computer[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]PhysicsQuantum Physics120Multidisciplinary010308 nuclear & particles physicsPhysicsMagic (programming)Q Science (General)16. Peace & justiceKochen–Specker theoremProjectorfinite geometryPauli groupquantum contextualitylcsh:QPreprintmagic statesQuantum Physics (quant-ph)Research Article
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Quenching of gA deduced from the β-spectrum shape of 113Cd measured with the COBRA experiment

2020

A dedicated study of the quenching of the weak axial-vector coupling strength gA in nuclear processes has been performed by the COBRA collaboration. This investigation is driven by nuclear model calculations which show that the β-spectrum shape of the fourfold forbidden non-unique decay of 113Cd strongly depends on the effective value of gA. Using an array of CdZnTe semiconductor detectors, 45 independent 113Cd spectra were obtained and interpreted in the context of three nuclear models. The resulting effective mean values are g‾A(ISM)=0.915±0.007, g‾A(MQPM)=0.911±0.013 and g‾A(IBFM-2)=0.955±0.022. These values agree well within the determined uncertainties and deviate significantly from th…

113Cd beta-decayaxial-vector couplingspectrum-shape methodCdZnTegA quenchinghiukkasfysiikkaydinfysiikkaCOBRA
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Predicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland

2022

AbstractBackgroundTicks are responsible for transmitting several notable pathogens worldwide. Finland lies in a zone where two human-biting tick species co-occur:IxodesricinusandIxodespersulcatus. Tick densities have increased in boreal regions worldwide during past decades, and tick-borne pathogens have been identified as one of the major threats to public health in the face of climate change.MethodsWe used species distribution modelling techniques to predict the distributions ofI.ricinusandI.persulcatus,using aggregated historical data from 2014 to 2020 and new tick occurrence data from 2021. By aiming to fill the gaps in tick occurrence data, we created a new sampling strategy across Fin…

1171 GeosciencesmallintaminenPOPULATION-DYNAMICSIxodes ricinusVECTORBORRELIAIxodes persulcatusBorreliaburgdorferi sensu latozoonoositpaikkatietoanalyysipuutiaisetpuutiaisaivotulehdusBURGDORFERI SENSU-LATOEncephalitis Viruses Tick-BorneSpecies distribution modellingAnimalsHumansQUESTING ACTIVITYEcosystemFinland11832 Microbiology and virologyIxodesDeerixodes persulcatusTick-borne pathogenIXODES-RICINUS TICKSEnsemble predictionennusteetlevinneisyysBORNE ENCEPHALITIS-VIRUSHares11831 Plant biologyixodes ricinusspecies distribution modellingpunkitCLIMATEBorrelia-bakteeritInfectious Diseasestaudinaiheuttajattick-borne pathogenborrelioosiIXODIDAEParasitologyABUNDANCEBorrelia burgdorferi sensu latoensemble prediction
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Evidence for the production of three massive vector bosons with the ATLAS detector

2019

A search for the production of three massive vector bosons in proton–proton collisions is performed using data at TeV recorded with the ATLAS detector at the Large Hadron Collider in the years 2015–2017, corresponding to an integrated luminosity of 79.8 fb−1. Events with two same-sign leptons ℓ (electrons or muons) and at least two reconstructed jets are selected to search for . Events with three leptons without any same-flavour opposite-sign lepton pairs are used to search for , while events with three leptons and at least one same-flavour opposite-sign lepton pair and one or more reconstructed jets are used to search for . Finally, events with four leptons are analysed to search for and .…

13000 GeV-cmsLarge hadron collider((n)jet dilepton) [final state]W: leptonic decay01 natural sciences7. Clean energySubatomär fysikvector boson: multiple productionElectroweak interactionscattering [p p]ATLAS LHC jets leptonsBoson((n)jet 3lepton) [final state]Collisionsmultiple production [W]Nuclear Experiment((n)jet 4lepton) [final state]Large Hadron ColliderPhysicsElectroweak interactionParticle physicslcsh:QC1-999:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]muon: pair production(3lepton) [final state]CERN LHC CollProduction (computer science)colliding beams [p p]p p: scatteringCiências Naturais::Ciências FísicasLHC ATLAS High Energy PhysicsHIGH ENERGY PHYSICSProduction (computer science)same signddc:530pair production [electron]010306 general physicsW: hadronic decayScience & Technology010308 nuclear & particles physicsfinal state: ((n)jet dilepton)Z0: associated productionExperimental High Energy PhysicsW bosonp p: colliding beamslcsh:PhysicsPhysics::Instrumentation and DetectorsAtlas detectormeasured [channel cross section]High Energy Physics - Experiment//purl.org/becyt/ford/1 [https]electron: pair productionW: pair productionHigh Energy Physics - Experiment (hep-ex)final state: ((n)jet 3lepton)Subatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]associated production [Z0]BosonPhysicsproton–proton collisionsSettore FIS/01 - Fisica SperimentaleATLASfinal state: (3lepton)pair production [W]LHCchannel cross section: measuredParticle Physics - ExperimentjetsNuclear and High Energy PhysicsParticle physics530 PhysicsAtlas detector:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesmultiple production [vector boson]Computer Science::Digital Librariesvector boson: massive0103 physical sciencespair production [muon]hadronic decay [W]hep-exHigh Energy Physics::Phenomenology:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]Físicafinal state: (4lepton)(4lepton) [final state]//purl.org/becyt/ford/1.3 [https]leptonic decay [Z0]final state: ((n)jet 4lepton)W: multiple productionleptonic decay [W]Z0: leptonic decayPhysics::Accelerator PhysicsSpace scienceHigh Energy Physics::Experimentmassive [vector boson]Hadron-hadron collisionsexperimental results
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Measurement of the W boson mass

1996

The W boson mass is measured using proton-proton collision data at root s = 13 TeV corresponding to an integrated luminosity of 1.7fb(-1) recorded during 2016 by the LHCb experiment. With a simultaneous fit of the muon q/p(T) distribution of a sample of W ->mu y decays and the phi* distribution of a sample of Z -> mu mu decays the W boson mass is determined to be

13000 GeV-cmsTevatronparton: distribution functionQC770-798W: leptonic decay7. Clean energy01 natural sciencesLuminosityPhysics Particles & FieldsSubatomär fysikHadron-Hadron scattering (experiments)scattering [p p]Electroweak interactionNuclear Experimentparticle identification [muon]Settore FIS/01PhilosophyPhysicsCoupling (probability)CERN LHC CollHadron colliderPhysical SciencesTransverse masscolliding beams [p p]distribution function [parton]Collider Detector at FermilabParticles and fieldCOLLISIONSp p: scatteringCERN PBARP COLLIDERAstrophysics::High Energy Astrophysical PhenomenaW: mass: measuredStandard ModelNuclear physicsddc:530010306 general physics0206 Quantum PhysicsMuonScience & Technology010308 nuclear & particles physicsWeinberg angleHEPFERMILAB TEVATRONElectroweak interaction Hadron-Hadron scattering (experiments) QCD For- ward physicsCDFp p: colliding beamsPhysics::Instrumentation and DetectorsElectron–positron annihilation= 1.8 TEVGeneral Physics and Astronomy= 1.8 TEV; PBARP COLLISIONS; DECAYVector bosonHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)Computer Science::Systems and ControlSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]PhysicFermilabBosonPhysics0105 Mathematical PhysicsStatistics::ApplicationsSettore FIS/01 - Fisica Sperimentalestatistical [error]Nuclear & Particles PhysicsCENTRAL TRACKING CHAMBERerror: statisticalCENTRAL ELECTROMAGNETIC CALORIMETERTransverse momentum0202 Atomic Molecular Nuclear Particle and Plasma PhysicsLHCmass: measured [W]Particle Physics - ExperimentStatistics::TheoryParticle physicsNuclear and High Energy Physicselectroweak interaction: precision measurementRegular Article - Experimental PhysicsTRANSVERSE ENERGYFOS: Physical sciencesmuon: particle identification530Particle decayPBARP COLLISIONSNuclear and particle physics. Atomic energy. Radioactivityprecision measurement [electroweak interaction]0103 physical sciencesForward physicVECTOR BOSONElectroweak interaction Hadron-Hadron scattering (experiments) QCD Forward physicsCERN PBARP COLLIDER; CENTRAL ELECTROMAGNETIC CALORIMETER; CENTRAL TRACKING CHAMBER; = 1.8 TEV; PARTON DISTRIBUTIONS; FERMILAB TEVATRON; VECTOR BOSON; TRANSVERSE ENERGY; CDF; COLLISIONShep-exHigh Energy Physics::PhenomenologyLHC-BQCDleptonic decay [W]LHCbPARTON DISTRIBUTIONSMass spectrumForward physicsPhysics::Accelerator PhysicsHigh Energy Physics::ExperimentDECAYHumanitiesexperimental results
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Interpretability of Recurrent Neural Networks in Remote Sensing

2020

In this work we propose the use of Long Short-Term Memory (LSTM) Recurrent Neural Networks for multivariate time series of satellite data for crop yield estimation. Recurrent nets allow exploiting the temporal dimension efficiently, but interpretability is hampered by the typically overparameterized models. The focus of the study is to understand LSTM models by looking at the hidden units distribution, the impact of increasing network complexity, and the relative importance of the input covariates. We extracted time series of three variables describing the soil-vegetation status in agroe-cosystems -soil moisture, VOD and EVI- from optical and microwave satellites, as well as available in si…

2. Zero hungerMultivariate statisticsNetwork complexity010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologies02 engineering and technology15. Life on landcomputer.software_genre01 natural sciencesRecurrent neural networkDimension (vector space)Redundancy (engineering)Relevance (information retrieval)Data miningTime seriesWater contentcomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesInterpretabilityIGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
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