Search results for "quantitative"

showing 10 items of 2409 documents

Machinery Failure Approach and Spectral Analysis to study the Reaction Time Dynamics over Consecutive Visual Stimuli

2020

The reaction times of individuals over consecutive visual stimuli have been studied using spectral analysis and a failure machinery approach. The used tools include the fast Fourier transform and a spectral entropy analysis. The results indicate that the reaction times produced by the independently responding individuals to visual stimuli appear to be correlated. The spectral analysis and the entropy of the spectrum yield that there are features of similarity in the response times of each participant and among them. Furthermore, the analysis of the mistakes made by the participants during the reaction time experiments concluded that they follow a behavior which is consistent with the MTBF (…

FOS: Computer and information sciencesFOS: Biological sciencesApplications (stat.AP)Quantitative Biology - Quantitative MethodsStatistics - ApplicationsQuantitative Methods (q-bio.QM)
researchProduct

Shared value economics: an axiomatic approach

2020

[EN]The concept of shared value was introduced by Porter and Kramer as a new conception of capitalism. Shared value describes the strategy of organizations that simultaneously enhance their competitiveness and the social conditions of related stakeholders such as employees, suppliers and the natural environment. The idea has generated strong interest, but also some controversy due to a lack of a precise definition, measurement techniques and difficulties to connect theory to practice. We overcome these drawbacks by proposing an economic framework based on three key aspects: coalition formation, sustainability and consistency, meaning that conclusions can be tested by means of logical deduct…

FOS: Computer and information sciencesFOS: Economics and businessQuantitative economicsCooperative gamesComputer Science - Computer Science and Game TheoryEconomics - Theoretical EconomicsSociety and environment.Theoretical Economics (econ.TH)Multiple criteria decision makingComputer Science and Game Theory (cs.GT)
researchProduct

Higher physical fitness levels are associated with less language decline in healthy ageing

2017

Healthy ageing is associated with decline in cognitive abilities such as language. Aerobic fitness has been shown to ameliorate decline in some cognitive domains, but the potential benefits for language have not been examined. In a cross-sectional sample, we investigated the relationship between aerobic fitness and tip-of-the-tongue states. These are among the most frequent cognitive failures in healthy older adults and occur when a speaker knows a word but is unable to produce it. We found that healthy older adults indeed experience more tip-of-the-tongue states than young adults. Importantly, higher aerobic fitness levels decrease the probability of experiencing tip-of-the-tongue states i…

FOS: Computer and information sciencesGerontologyMaleCross-sectional studyPhysical fitnessDevelopmental psychologyHealthy Aging0302 clinical medicineCognitionYoung adultLanguageaerobic fitnessAged 80 and overMultidisciplinaryQ05 social sciencesRCognitionMiddle AgedWord findingMedicineNeurons and Cognition (q-bio.NC)FemalePsychologyAdultbrain healthScienceStatistics - Applications050105 experimental psychologyArticle03 medical and health sciencesOxygen ConsumptionMemoryAerobic exerciseHumansApplications (stat.AP)0501 psychology and cognitive sciencesVDP::Medisinske Fag: 700Exercise physiologytip-of-the-tongueExerciseAgedbusiness.industryVDP::Matematikk og Naturvitenskap: 400Cross-Sectional StudiesageingPhysical FitnessFOS: Biological sciencesQuantitative Biology - Neurons and CognitionHealthy ageingbusinessCognition Disorders030217 neurology & neurosurgery
researchProduct

Local Granger causality

2021

Granger causality is a statistical notion of causal influence based on prediction via vector autoregression. For Gaussian variables it is equivalent to transfer entropy, an information-theoretic measure of time-directed information transfer between jointly dependent processes. We exploit such equivalence and calculate exactly the 'local Granger causality', i.e. the profile of the information transfer at each discrete time point in Gaussian processes; in this frame Granger causality is the average of its local version. Our approach offers a robust and computationally fast method to follow the information transfer along the time history of linear stochastic processes, as well as of nonlinear …

FOS: Computer and information sciencesInformation transferGaussianFOS: Physical sciencestechniques; information theory; granger causalityMachine Learning (stat.ML)Quantitative Biology - Quantitative Methods01 natural sciences010305 fluids & plasmasVector autoregressionsymbols.namesakegranger causalityGranger causalityStatistics - Machine Learning0103 physical sciencesApplied mathematicstime serie010306 general physicsQuantitative Methods (q-bio.QM)Mathematicsinformation theoryStochastic processDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksComputational Physics (physics.comp-ph)Discrete time and continuous timeAutoregressive modelFOS: Biological sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticasymbolsTransfer entropytechniquesPhysics - Computational Physics
researchProduct

The network of global corporate control.

2011

The structure of the control network of transnational corporations affects global market competition and financial stability. So far, only small national samples were studied and there was no appropriate methodology to assess control globally. We present the first investigation of the architecture of the international ownership network, along with the computation of the control held by each global player. We find that transnational corporations form a giant bow-tie structure and that a large portion of control flows to a small tightly-knit core of financial institutions. This core can be seen as an economic “super-entity” that raises new important issues both for researchers and policy make…

FOS: Computer and information sciencesInternationalityFinancial ManagementEconomicsFinancial intermediarylcsh:MedicineNetwork theorySocial and Behavioral Sciences01 natural sciences010305 fluids & plasmasMicroeconomics050207 economicslcsh:ScienceMutual fundIndustrial organizationProfessional CorporationsMultidisciplinaryCorporate governanceApplied MathematicsPhysics05 social sciencesCommerceComputer Science - Social and Information NetworksComplex SystemsSocial Control PoliciesCore (game theory)Interdisciplinary PhysicsGeneral Finance (q-fin.GN)Quantitative Finance - General FinanceResearch ArticlePhysics - Physics and SocietyControl (management)FOS: Physical sciencesSpatial Economic AnalysisPhysics and Society (physics.soc-ph)BiologyStatistical MechanicsFOS: Economics and businessFinancial management0502 economics and business0103 physical sciencesownership corporate control network theoryStructure of MarketsSocial and Information Networks (cs.SI)business.industryFinancial marketlcsh:RIndustrial Organizationlcsh:QbusinessMathematicsPloS one
researchProduct

Order-distance and other metric-like functions on jointly distributed random variables

2013

We construct a class of real-valued nonnegative binary functions on a set of jointly distributed random variables, which satisfy the triangle inequality and vanish at identical arguments (pseudo-quasi-metrics). These functions are useful in dealing with the problem of selective probabilistic causality encountered in behavioral sciences and in quantum physics. The problem reduces to that of ascertaining the existence of a joint distribution for a set of variables with known distributions of certain subsets of this set. Any violation of the triangle inequality or its consequences by one of our functions when applied to such a set rules out the existence of this joint distribution. We focus on…

FOS: Computer and information sciencesMeasurable functionComputer Science - Artificial IntelligenceGeneral MathematicsMathematics - Statistics TheoryStatistics Theory (math.ST)Quantitative Biology - Quantitative Methods01 natural sciences050105 experimental psychologyJoint probability distribution0103 physical sciencesFOS: Mathematics0501 psychology and cognitive sciences010306 general physicsQuantitative Methods (q-bio.QM)60B99 (Primary) 81Q99 91E45 (Secondary)Probability measureMathematicsDiscrete mathematicsTriangle inequalityApplied MathematicsProbability (math.PR)05 social sciencesFunction (mathematics)Artificial Intelligence (cs.AI)Distribution (mathematics)FOS: Biological sciencesSample spaceRandom variableMathematics - ProbabilityProceedings of the American Mathematical Society
researchProduct

Epidemic spreading and aging in temporal networks with memory

2018

Time-varying network topologies can deeply influence dynamical processes mediated by them. Memory effects in the pattern of interactions among individuals are also known to affect how diffusive and spreading phenomena take place. In this paper we analyze the combined effect of these two ingredients on epidemic dynamics on networks. We study the susceptible-infected-susceptible (SIS) and the susceptible-infected-removed (SIR) models on the recently introduced activity-driven networks with memory. By means of an activity-based mean-field approach we derive, in the long time limit, analytical predictions for the epidemic threshold as a function of the parameters describing the distribution of …

FOS: Computer and information sciencesPhysics - Physics and SocietyComputer scienceAnalytical predictionsEpidemic dynamicsFOS: Physical sciencesPhysics and Society (physics.soc-ph)Network topology01 natural sciences010305 fluids & plasmasNetworks and Complex Systems0103 physical sciencesQuantitative Biology::Populations and EvolutionStatistical physicsLimit (mathematics)010306 general physicsQuantitative Biology - Populations and EvolutionEpidemic controlSocial and Information Networks (cs.SI)Populations and Evolution (q-bio.PE)Computer Science - Social and Information NetworksFunction (mathematics)Computer Science::Social and Information NetworksArticlesDynamic modelsEpidemic thresholdEpidemic spreadingFOS: Biological sciencesMean field approachPhysical Review. E
researchProduct

Testing Selective Influence Directly Using Trackball Movement Tasks

2018

Systems factorial technology (SFT; Townsend & Nozawa, 1995) is regarded as a useful tool to diagnose if features (or dimensions) of the investigated stimulus are processed in a parallel or serial fashion. In order to use SFT, one has to assume the speed to process each feature is influenced by that feature only, termed as selective influence (Sternberg, 1969). This assumption is usually untestable as the processing time for a stimulus feature is not observable. Stochastic dominance is traditionally used as an indirect evidence for selective influence (e.g., Townsend & Fifi\'c, 2004). However, one should keep in mind that selective influence may be violated even when stochastic dominance hol…

FOS: Computer and information sciencesQuantitative Biology - Neurons and CognitionFOS: Biological sciencesApplications (stat.AP)Neurons and Cognition (q-bio.NC)Statistics - Applications
researchProduct

Optimal Classical Random Access Codes Using Single d-level Systems

2015

Recently, in the letter [Phys. Rev. Lett. {\bf 114}, 170502 (2015)], Tavakoli et al. derived interesting results by studying classical and quantum random access codes (RACs) in which the parties communicate higher-dimensional systems. They construct quantum RACs with a bigger advantage over classical RACs compared to previously considered RACs with binary alphabet. However, these results crucially hinge upon an unproven assertion that the classical strategy "majority-encoding-identity-decoding" leads to the maximum average success probability achievable for classical RACs; in this article we provide a proof of this intuition. We characterize all optimal classical RACs and show that indeed "…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityInformation Theory (cs.IT)Computer Science - Information TheoryFOS: Physical sciencesComputational Complexity (cs.CC)Quantum Physics (quant-ph)Quantitative Biology::Cell Behavior
researchProduct

Large-scale compression of genomic sequence databases with the Burrows-Wheeler transform

2012

Motivation The Burrows-Wheeler transform (BWT) is the foundation of many algorithms for compression and indexing of text data, but the cost of computing the BWT of very large string collections has prevented these techniques from being widely applied to the large sets of sequences often encountered as the outcome of DNA sequencing experiments. In previous work, we presented a novel algorithm that allows the BWT of human genome scale data to be computed on very moderate hardware, thus enabling us to investigate the BWT as a tool for the compression of such datasets. Results We first used simulated reads to explore the relationship between the level of compression and the error rate, the leng…

FOS: Computer and information sciencesStatistics and ProbabilityBurrows–Wheeler transformComputer scienceData_CODINGANDINFORMATIONTHEORYBurrows-Wheeler transformcomputer.software_genreBiochemistryBurrows-Wheeler transform; Data Compression; Next-generation sequencingComputer Science - Data Structures and AlgorithmsEscherichia coliCode (cryptography)HumansOverhead (computing)Data Structures and Algorithms (cs.DS)Computer SimulationQuantitative Biology - GenomicsMolecular BiologyGenomics (q-bio.GN)Genome HumanString (computer science)Search engine indexingSortingGenomicsSequence Analysis DNAConstruct (python library)Data CompressionComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsFOS: Biological sciencesNext-generation sequencingData miningDatabases Nucleic AcidcomputerAlgorithmsData compression
researchProduct