Search results for "460"

showing 10 items of 197 documents

Quark structure of the $$\chi _{\mathrm{c}}(3P)$$ χc(3P) and X(4274) resonances and their strong and radiative decays

2020

We calculate the masses of $$\chi _{\mathrm{c}}(3P)$$ χc(3P) states with threshold corrections in a coupled-channel model. The model was recently applied to the description of the properties of $$\chi _{\mathrm{c}}(2P)$$ χc(2P) and $$\chi _{\mathrm{b}}(3P)$$ χb(3P) multiplets (Ferretti and Santopinto in Phys Lett B 789:550, 2019]. We also compute the open-charm strong decay widths of the $$\chi _{\mathrm{c}}(3P)$$ χc(3P) states and their radiative transitions. According to our predictions, the $$\chi _{\mathrm{c}}(3P)$$ χc(3P) states should be dominated by the charmonium core, but they may also show small meson-meson components. The X(4274) is interpreted as a $$c {{\bar{c}}}$$ cc¯ $$\chi _…

High Energy Physics::Phenomenologylcsh:QB460-466lcsh:QC770-798High Energy Physics::Experimentlcsh:Astrophysicslcsh:Nuclear and particle physics. Atomic energy. RadioactivityEuropean Physical Journal C: Particles and Fields
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Gender Diversity in STEM Disciplines: A Multiple Factor Problem.

2019

La falta de diversidad, y específicamente de diversidad de género, es uno de los problemas clave que se están encontrando tanto las empresas del sector tecnológico como las instituciones del ámbito académico en la educación superior. Según la UNESCO, las mujeres representan el 35% de todos los matriculados en las ramas de Ciencia, Tecnología, Ingeniería y Matemáticas (STEM, en sus siglas en inglés), encontrándose el mínimo, un 3%, en el área de las Tecnologías de la Información y las Comunicaciones (TIC). Al mismo tiempo, el número de mujeres profesionales que abandonan trabajos de perfil tecnológico es inaceptablemente alto. Como miembros de una institución de educación superior centrada e…

Higher educationGender diversitygendered innovationmedia_common.quotation_subjecteducationGeneral Physics and Astronomylcsh:Astrophysics010501 environmental sciencesBachelor01 natural sciencesArticleDones en la cièncialcsh:QB460-466ComputingMilieux_COMPUTERSANDEDUCATIONlcsh:ScienceGender diversity0105 earth and related environmental sciencesmedia_commonMedical educationComputingMilieux_THECOMPUTINGPROFESSIONbusiness.industry05 social sciences050301 educationlcsh:QC1-999Test (assessment)Gendered innovationWomen in STEM fieldsInformation and Communications TechnologyInformació Teoria de lawomen in STEMWomen in STEMgender diversitylcsh:Qbusiness0503 educationlcsh:PhysicsDiversity (politics)GraduationEntropy (Basel, Switzerland)
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Social Influence Maximization in Hypergraphs

2021

This work deals with a generalization of the minimum Target Set Selection (TSS) problem, a key algorithmic question in information diffusion research due to its potential commercial value. Firstly proposed by Kempe et al., the TSS problem is based on a linear threshold diffusion model defined on an input graph with node thresholds, quantifying the hardness to influence each node. The goal is to find the smaller set of items that can influence the whole network according to the diffusion model defined. This study generalizes the TSS problem on networks characterized by many-to-many relationships modeled via hypergraphs. Specifically, we introduce a linear threshold diffusion process on such …

Hypergraphsocial networksSelection (relational algebra)Computer scienceGeneralizationScienceQC1-999hypergraphGeneral Physics and Astronomy02 engineering and technologyAstrophysicsArticlehigh-order networkSet (abstract data type)influence diffusion020204 information systems0202 electrical engineering electronic engineering information engineeringDiscrete mathematicshigh-order networks; hypergraphs; influence diffusion; social networks; target set selectionPhysicsQMaximizationQB460-466high-order networkshypergraphstarget set selectionGraph (abstract data type)020201 artificial intelligence & image processingNode (circuits)Heuristics
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"Table 1" of "Measurement of the Mass and Lifetime of the Charmed Strange Baryon $\Xi(c$)+"

1996

The cross sections times branching ratio, linear A-dependence is assumed.

InclusivePI- CU --> XI/C(2460)+ XIntegrated Cross SectionExclusive20.794High Energy Physics::ExperimentCross SectionSIGPI- NUCLEON --> XI/C(2460)+ XPI- NUCLEUS --> X XI/C(2460)+
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"Table 1" of "First Measurement of the Lifetime of the Charmed Strange Baryon Xi($c$)0"

1994

No description provided.

InclusivePI- CU --> XI/C(2460)0 XStrange productionPI- NUCLEUS --> X XI/C(2460)0Integrated Cross SectionExclusiveCross SectionSIG
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"Table 2" of "Measurement of inclusive differential cross sections for Upsilon(1S) production in p anti-p collisions at s**(1/2) = 1.96-TeV"

2005

Normalized differential cross section for UPSI(1S) production.. Errors contain statistical and systematics (excluding luminosity error).

InclusiveRapidity DependenceD2SIG/DPT/DYRAPUpsilonTransverse Momentum DependenceDouble Differential Cross SectionPBAR P --> UPSI(9460) X1960.115
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"Table 1" of "Measurement of inclusive differential cross sections for Upsilon(1S) production in p anti-p collisions at s**(1/2) = 1.96-TeV"

2005

Cross section per unit of rapidity times branching ratio to MU+ MU-. Systematic (DSYS) error does not include the 6.1 PCT uncertainty on the luminosity.

InclusiveSingle Differential Cross SectionDi-Muon ProductionRapidity DependencePBAR P --> MU+ MU- XUpsilonDSIG/DYRAP1960.0Muon productionPBAR P --> UPSI(9460) X
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Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks

2016

The continuously growing framework of information dynamics encompasses a set of tools, rooted in information theory and statistical physics, which allow to quantify different aspects of the statistical structure of multivariate processes reflecting the temporal dynamics of complex networks. Building on the most recent developments in this field, this work designs a complete approach to dissect the information carried by the target of a network of multiple interacting systems into the new information produced by the system, the information stored in the system, and the information transferred to it from the other systems; information storage and transfer are then further decomposed into amou…

Information transferDynamical systems theoryComputer scienceGeneral Physics and Astronomylcsh:AstrophysicsInformation theorycomputer.software_genreMachine learning01 natural sciencesEntropy - Cardiorespiratory interactions - Dynamical systems -cardiovascular interactions03 medical and health sciencessymbols.namesake0302 clinical medicinelcsh:QB460-4660103 physical sciencesinformation transferEntropy (information theory)lcsh:Science010306 general physicsGaussian processautoregressive processesmultivariate time series analysisbusiness.industryautonomic nervous systemredundancy and synergycardiorespiratory interactionsdynamical systemsComplex networkNetwork dynamicslcsh:QC1-999autonomic nervous system; autoregressive processes; cardiorespiratory interactions; cardiovascular interactions; Granger causality; dynamical systems; information dynamics; information transfer; redundancy and synergy; multivariate time series analysisAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalitysymbolslcsh:QArtificial intelligenceData mininginformation dynamicsbusinesscomputerlcsh:Physics030217 neurology & neurosurgeryEntropy; Volume 19; Issue 1; Pages: 5
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Synergistic Information Transfer in the Global System of Financial Markets.

2020

Uncovering dynamic information flow between stock market indices has been the topic of several studies which exploited the notion of transfer entropy or Granger causality, its linear version. The output of the transfer entropy approach is a directed weighted graph measuring the information about the future state of each target provided by the knowledge of the state of each driving stock market index. In order to go beyond the pairwise description of the information flow, thus looking at higher order informational circuits, here we apply the partial information decomposition to triplets consisting of a pair of driving markets (belonging to America or Europe) and a target market in Asia. Our …

Information transferFLOWGeneral Physics and Astronomysynergylcsh:AstrophysicsGRANGER CAUSALITYArticleeconometricsstock marketBusiness and EconomicsGranger causalityFinancial marketsHigher order dependencies SynergyOrder (exchange)lcsh:QB460-466EconomicsEconometricsfinancial marketsInformation flow (information theory)NETWORKlcsh:Scienceinformation theoryhigher order dependenciesCROSS-CORRELATIONSFinancial marketStock market indexlcsh:QC1-999Mathematics and Statisticstime series analysislcsh:QTransfer entropyStock marketlcsh:PhysicsEntropy (Basel, Switzerland)
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Information Dynamics of the Brain, Cardiovascular and Respiratory Network during Different Levels of Mental Stress

2019

In this study, an analysis of brain, cardiovascular and respiratory dynamics was conducted combining information-theoretic measures with the Network Physiology paradigm during different levels of mental stress. Starting from low invasive recordings of electroencephalographic, electrocardiographic, respiratory, and blood volume pulse signals, the dynamical activity of seven physiological systems was probed with one-second time resolution measuring the time series of the &delta

Information transferInformation dynamicsComputer scienceStress assessmentGeneral Physics and Astronomylcsh:Astrophysics030204 cardiovascular system & hematologyNetwork topologynetwork physiologyInformation Theory Network Physiology StressArticlePhysics and Astronomy (all)03 medical and health sciences0302 clinical medicineRhythmwearable deviceslcsh:QB460-466stress assessmentlcsh:ScienceSubnetworkNetwork physiologyPulse (signal processing)Node (networking)Information dynamics; Network physiology; Stress assessment; Wearable deviceslcsh:QC1-999Wearable devicesPeripheralInformation dynamics; Network physiology; Stress assessment; Wearable devices; Physics and Astronomy (all)lcsh:QWakefulnessinformation dynamicsNeurosciencelcsh:Physics030217 neurology & neurosurgeryEntropy
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