Search results for "Large"

showing 10 items of 2197 documents

Navigating multiple logics: Legitimacy and the quest for societal impact in science

2022

Academic scientists are encouraged to pursue research that delivers both scientific and societal impact. This may involve a search for alternative mechanisms of social approval which lead to endorsement of scientists’ research goals. We explore how scientists mobilise and accumulate different forms of legitimacy, which might favour their participation in practices related to innovation and societal impact. We propose three specific sources of scientific legitimacy: i) scientists’ social networks (research-related legitimacy ties), ii) prominence in the relevant academic community (reputation-based legitimacy); and direct contact with the primary beneficiaries of the research (beneficiary-ba…

Social approvalbusiness.industrymedia_common.quotation_subjectGeneral EngineeringlegitimacyBeneficiarySocietal impact of nanotechnologyinstitutional logicssocietal impactPublic relationsresearch-related legitimacy tiesLarge sampleinnovation involvementManagement of Technology and InnovationPolitical scienceUNESCO::SOCIOLOGÍAAcademic communityreputation-based legitimacybeneficiary-based legitimacybusinessLegitimacyscience logicReputationmedia_commonTechnovation
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Towards Human-Bot Collaborative Software Architecting with ChatGPT

2023

Architecting software-intensive systems can be a complex process. It deals with the daunting tasks of unifying stakeholders' perspectives, designers' intellect, tool-based automation, pattern-driven reuse, and so on, to sketch a blueprint that guides software implementation and evaluation. Despite its benefits, architecture-centric software engineering (ACSE) inherits a multitude of challenges. ACSE challenges could stem from a lack of standardized processes, socio-technical limitations, and scarcity of human expertise etc. that can impede the development of existing and emergent classes of software (e.g., IoTs, blockchain, quantum systems). Software Development Bots (DevBots) trained on la…

Software Engineering (cs.SE)FOS: Computer and information sciencessoftware architectureComputer Science - Software EngineeringArtificial Intelligence (cs.AI)ChatGPTComputer Science - Artificial Intelligenceohjelmistoarkkitehtuurilarge language modelsDevBotstekoäly
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ChemInform Abstract: Di- and Tricationic Organic Salts: An Overview of Their Properties and Applications

2014

During recent years growing interest has been devoted to the synthesis and applications of polycationic organic salts. Among them, di- and tricationic organic salts can be considered the natural evolution of monocationic ones. These last have given rise to the large class of ionic liquids. In the cases of di- and tricationic organic salts, the potential to change their structural features simply by varying the properties either of the charged heads or of the spacers separating them provides the opportunity to obtain materials suitable for different applications. This review article highlights recent progress in the study of the properties of di- and tricationic organic salts, as well as in …

Solvent systemLarge classchemistry.chemical_compoundChemistryIonic liquidGeneral MedicineCombinatorial chemistryIonChemInform
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Morphologically similar but not closely related: the long-spored species of Subulicystidium (Trechisporales, Basidiomycota)

2020

AbstractSpecies boundaries and geographic distribution of corticioid fungi (resupinate Basidiomycota) are often poorly known. Our recent study on Subulicystidium showed that species diversity in this genus is at least twice as high as previously recognized. This re-estimation of the species diversity was based on a study of only a part of the genus. The present study sheds light on molecular and morphological diversity of three more species. We generated 27 ITS and 24 28S nuclear ribosomal DNA sequences from 49 specimens labelled as Subulicystidium cochleum, S. longisporum and S. perlongisporum and collected in distant geographic localities. We assessed pairwise dissimilarities and phylogen…

Species complexPhylogenetic treeSettore BIO/02 - Botanica SistematicaSpecies distributionSpecies diversityBiologybiology.organism_classificationAgricultural and Biological Sciences (miscellaneous)AgaricomycetesCryptic species Genetic distance Homoplasic character Internal transcribed spacer Large subunit traditional morphometricsCorticioid fungiGenusEvolutionary biologyRibosomal DNAEcology Evolution Behavior and SystematicsMycological Progress
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Search for WH production with a light Higgs boson decaying to prompt electron-jets in proton–proton collisions at \(\sqrt {s}=7\)  TeV with the ATLAS…

2013

A search is performed for WH production with a light Higgs boson decaying to hidden-sector particles resulting in clusters of collimated electrons, known as electron-jets. The search is performed with 2.04 fb[superscript −1] of data collected in 2011 with the ATLAS detector at the Large Hadron Collider in proton–proton collisions at √s=7 TeV . One event satisfying the signal selection criteria is observed, which is consistent with the expected background rate. Limits on the product of the WH production cross section and the branching ratio of a Higgs boson decaying to prompt electron-jets are calculated as a function of a Higgs boson mass in the range from 100 to 140 GeV.

Standard ModelAtlas detectorGeneral Physics and AstronomyElectron7. Clean energy01 natural sciencesSignal selectionHigh Energy Physics - ExperimentLepton-JetsHigh Energy Physics - Experiment (hep-ex)Naturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear ExperimentQCPhysicsddc:539Large Hadron ColliderSettore FIS/01 - Fisica SperimentaleSignal selectionBranching ratioATLASLarge Hadron ColliderComputingMethodologies_DOCUMENTANDTEXTPROCESSINGHiggs bosonLHCNatural SciencesParticle Physics - ExperimentParticle physics530 PhysicsCiências Naturais::Ciências FísicasHiggs bosonAstrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Collimated lightNuclear physics0103 physical sciencesddc:530High Energy Physics010306 general physicsW BOSONScience & TechnologyProton proton collisions010308 nuclear & particles physicsBranching fractionATLAS detectorsHigh Energy Physics::PhenomenologyFísicaMassEnergiesHidden sectorProduction cross sectionHiggs boson; electron-jets; proton–proton collisions; ATLAS detectorHADRON-HADRON COLLISIONSExperimental High Energy PhysicsHigh Energy Physics::Experiment
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Measurements of Higgs boson production and couplings in diboson final states with the ATLAS detector at the LHC

2013

We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWF and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF, DNSRC and Lundbeck Foundation, Denmark; EPLANET, ERC and NSRF, European Union; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, DFG, HGF, MPG and AvH Foundation, Germany; GSRT and NSRF, Greece; ISF, MINERVA, GIF, DIP and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; FOM and NWO, Netherlands; BRF and RCN, Norway; MNiSW, Poland; GRICES and FCT, Portu…

Standard Modeldilepton: mass spectrumCiencias Físicas01 natural sciences7. Clean energySettore FIS/04 - Fisica Nucleare e SubnucleareHigh Energy Physics - ExperimentHiggs particle: hadroproduction//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)vector boson: fusion[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]QCBosonPhysicsHIGGS BOSONLarge Hadron Collidervector boson: pair productiontransverse energy: missing-energy4. EducationATLAS experimentSettore FIS/01 - Fisica SperimentaleATLAS3. Good healthMassless particleCERN LHC CollHiggs particle: massPhysical SciencesComputingMethodologies_DOCUMENTANDTEXTPROCESSINGHiggs boson7000: 8000 GeV-cmsFísica nuclearAtlasLhcNeutrinoHiggs particle: decay modesParticle Physics - ExperimentCIENCIAS NATURALES Y EXACTASp p: scatteringNuclear and High Energy PhysicsParticle physicsmass spectrum: (4lepton)530 PhysicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2ATLASdetector; LHC; Higgsbosonproduction; diboson530Massless ParticlesNnlo QCDNuclear physics0103 physical sciencesFysikddc:530High Energy Physics010306 general physicsTransverse-MomentumCondensed Matter::Quantum GasesHiggs particle: couplingScience & Technologyhep-ex010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyFísicaQCD CorrectionsFermion//purl.org/becyt/ford/1.3 [https]Hadron CollidersDiboson ProductionAstronomíavector boson: leptonic decayHADRON-HADRON COLLISIONSProton-Proton CollisionsRoot-S=7 TevHiggs particle: hadroproduction ; Higgs particle: coupling ; vector boson: fusion ; p p: scattering ; CERN LHC Coll ; ATLAS ; Higgs particle: decay modes ; vector boson: pair production ; vector boson: leptonic decay ; mass spectrum: two-photon ; mass spectrum: (4lepton) ; dilepton: mass spectrum ; transverse energy: missing-energy ; Higgs particle: mass ; experimental results ; 7000: 8000 GeV-cmsExperimental High Energy PhysicsHigh Energy Physics::ExperimentCross-Sectionsmass spectrum: two-photonexperimental resultsLeptonBroken Symmetries
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Multi-epoch VLTI-PIONIER imaging of the supergiant V766 Cen

2017

Context. The star V766 Cen (=HR 5171A) was originally classified as a yellow hypergiant but lately found to more likely be a 27-36 M red supergiant (RSG). Recent observations indicated a close eclipsing companion in the contact or common-envelope phase. Aims. Here, we aim at imaging observations of V766 Cen to confirm the presence of the close companion. Methods. We used near-infrared H-band aperture synthesis imaging at three epochs in 2014, 2016, and 2017, employing the PIONIER instrument at the Very Large Telescope Interferometer (VLTI). Results. The visibility data indicate a mean Rosseland angular diameter of 4.1 ± 0.8 mas, corresponding to a radius of 1575 ± 400 R. The data show an ex…

Stars: imagingAperture synthesisBinaries: eclipsingFOS: Physical sciencesAstrophysics01 natural sciences010309 opticsCommon envelopeBinaries: closeAngular diameter0103 physical sciencesmassive [Stars]Red supergiantStars: massiveYellow hypergiant010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)PhysicsVery Large Telescopeeclipsing [Binaries]Astronomy and AstrophysicsRadiusAstrophysics - Solar and Stellar AstrophysicsSupergiantsSpace and Planetary Scienceimaging [Stars]Techniques: interferometricinterferometric [Techniques]Supergiantclose [Binaries]Astronomy & Astrophysics
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The Psychological Science Accelerator’s COVID-19 rapid-response dataset

2023

Funder: Amazon Web Services (AWS) Imagine Grant

Statistics and Probability223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore copingBF Psychology230 Affective NeuroscienceHealth Behaviorand demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73Message framingDiseasesLibrary and Information Sciences:Ciências Sociais::Psicologia [Domínio/Área Científica]geographical and cultural context characterizationHV Social pathology. Social and public welfare. CriminologypandemiatEducationa general questionnaire examining health prevention behaviors and COVID-19 experienceddc:150SDG 3 - Good Health and Well-beingRA0421 Public health. Hygiene. Preventive MedicineSurveys and QuestionnairesAdaptation PsychologicalyleiskartoituksetHumansPendienteHealth behaviorsPandemicsframingBehaviour Change and Well-beingEmotion regulationSelf-determination messagingand self-determination across a diverseCOVID-19kansainvälinen vertailuResearch dataComputer Science Applicationswhich can be merged with other time-sampled or geographic data.cognitive reappraisalsglobal sample obtained at the onset of the COVID-19 pandemicterveyskäyttäytyminenIn response to the COVID-19 pandemic/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingand autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental studyStatistics Probability and UncertaintyPeople’s healthtutkimusaineistosurvey-tutkimusDatasetInformation Systemsthe Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing
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Large deviations results for subexponential tails, with applications to insurance risk

1996

AbstractConsider a random walk or Lévy process {St} and let τ(u) = inf {t⩾0 : St > u}, P(u)(·) = P(· | τ(u) < ∞). Assuming that the upwards jumps are heavy-tailed, say subexponential (e.g. Pareto, Weibull or lognormal), the asymptotic form of the P(u)-distribution of the process {St} up to time τ(u) is described as u → ∞. Essentially, the results confirm the folklore that level crossing occurs as result of one big jump. Particular sharp conclusions are obtained for downwards skip-free processes like the classical compound Poisson insurance risk process where the formulation is in terms of total variation convergence. The ideas of the proof involve excursions and path decompositions for Mark…

Statistics and ProbabilityExponential distributionRegular variationRuin probabilityExcursionRandom walkDownwards skip-free processLévy processConditioned limit theoremTotal variation convergenceCombinatoricsInsurance riskPath decompositionIntegrated tailProbability theoryModelling and SimulationExtreme value theoryMaximum domain of attractionMathematicsStochastic processApplied MathematicsExtreme value theoryRandom walkSubexponential distributionModeling and SimulationLog-normal distributionLarge deviations theory60K1060F10Stochastic Processes and their Applications
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Can the Adaptive Metropolis Algorithm Collapse Without the Covariance Lower Bound?

2011

The Adaptive Metropolis (AM) algorithm is based on the symmetric random-walk Metropolis algorithm. The proposal distribution has the following time-dependent covariance matrix at step $n+1$ \[ S_n = Cov(X_1,...,X_n) + \epsilon I, \] that is, the sample covariance matrix of the history of the chain plus a (small) constant $\epsilon>0$ multiple of the identity matrix $I$. The lower bound on the eigenvalues of $S_n$ induced by the factor $\epsilon I$ is theoretically convenient, but practically cumbersome, as a good value for the parameter $\epsilon$ may not always be easy to choose. This article considers variants of the AM algorithm that do not explicitly bound the eigenvalues of $S_n$ away …

Statistics and ProbabilityFOS: Computer and information sciencesIdentity matrixMathematics - Statistics TheoryStatistics Theory (math.ST)Upper and lower boundsStatistics - Computation93E3593E15Combinatorics60J27Mathematics::ProbabilityLaw of large numbers65C40 60J27 93E15 93E35stochastic approximationFOS: MathematicsEigenvalues and eigenvectorsComputation (stat.CO)Metropolis algorithmMathematicsProbability (math.PR)Zero (complex analysis)CovariancestabilityUniform continuityBounded function65C40Statistics Probability and Uncertaintyadaptive Markov chain Monte CarloMathematics - Probability
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