Search results for "collective behaviour"

showing 3 items of 3 documents

Why do house-hunting ants recruit in both directions?

2007

8 pages; International audience; To perform tasks, organisms often use multiple procedures. Explaining the breadth of such behavioural repertoires is not always straightforward. During house hunting, colonies of Temnothorax albipennis ants use a range of behaviours to organise their emigrations. In particular, the ants use tandem running to recruit na? ants to potential nest sites. Initially, they use forward tandem runs (FTRs) in which one leader takes a single follower along the route from the old nest to the new one. Later, they use reverse tandem runs (RTRs) in the opposite direction. Tandem runs are used to teach active ants the route between the nests, so that they can be involved qui…

0106 biological sciencesMESH: Decision MakingOperations researchTemnothorax albipennisMESH : Social BehaviorTandem runningSocial insectsMESH : Behavior Animal01 natural sciencesNesting BehaviorNestMESH : EcosystemMESH: Behavior Animal[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisMESH: AnimalsMESH: EcosystemMESH: Nesting BehaviorRecruitment methodsMESH: Models Theoretical0303 health sciencesBehavior AnimalbiologyEcologyGeneral MedicineMESH : AntsCollective behaviourMESH: Social BehaviorTandem runningMESH: Population DensityDecision MakingMESH: AntsMESH : Nesting Behavior010603 evolutionary biology03 medical and health sciencesAnimalsTemnothorax albipennisMESH : Population DensitySocial BehaviorSet (psychology)EcosystemEcology Evolution Behavior and Systematics030304 developmental biologyPopulation DensityOriginal PaperAntsMESH : Models TheoreticalModels TheoreticalRecruitment methodsbiology.organism_classificationMESH : Decision MakingMESH : Animals[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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National identity predicts public health support during a global pandemic

2022

Funder: Research Council of Norway through its Centres of Excellence Scheme, FAIR project No 262675

IMAGEHealth BehaviorCOVID-19 ; national identity ; public health ; pandemic ; cross-culturalCollective narcissismSettore SECS-P/02 - Politica Economicahealth behaviorSociologyRA0421 Public health. Hygiene. Preventive MedicineSettore SECS-P/01 - Economia Politicapublic health behaviours COVID-19 collective behaviourPublic health[SHS.SOCIO]Humanities and Social Sciences/SociologySocial IdentificationQ/706/689/477/2811articleSocial identityPublic Health Global Health Social Medicine and Epidemiology[SHS.ECO]Humanities and Social Sciences/Economics and Finance3142 Public health care science environmental and occupational healthVDP::Medisinske Fag: 700::Helsefag: 8005141 SociologySettore SECS-P/03 - Scienza delle Finanze/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNational identityHumanCross-Cultural ComparisonBF PsychologyScienceCOVID-19 pandemicBFnational narcissismHV Social pathology. Social and public welfare. CriminologyCOVID-19; Cross-Cultural Comparison; Health Behavior; Humans; Leadership; Pandemics; Public Health; SARS-CoV-2; Self Report; Social Identification; Social ConformityHuman development/692/699/255/2514SDG 3 - Good Health and Well-beingSocial ConformityHuman behaviournational identitypolitical ideologyHumansCOLLECTIVE NARCISSISMSOCIAL IDENTITYPandemicsMCCPandemicIDENTIFICATIONSARS-CoV-2COVID-19DAS[SHS.SCIPO]Humanities and Social Sciences/Political scienceCoronavirusMODELLeadershipFolkhälsovetenskap global hälsa socialmedicin och epidemiologiViral infectionIdenficationImageRA Public aspects of medicine[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieHuman medicineSelf ReportRAModel
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Modeling crowd dynamics through coarse-grained data analysis

2018

International audience; Understanding and predicting the collective behaviour of crowds is essential to improve the efficiency of pedestrian flows in urban areas and minimize the risks of accidents at mass events. We advocate for the development of crowd traffic management systems, whereby observations of crowds can be coupled to fast and reliable models to produce rapid predictions of the crowd movement and eventually help crowd managers choose between tailored optimization strategies. Here, we propose a Bi-directional Macroscopic (BM) model as the core of such a system. Its key input is the fundamental diagram for bi-directional flows, i.e. the relation between the pedestrian fluxes and d…

Data AnalysisOperations researchComputer scienceFLOW[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]macroscopic model0904 Chemical EngineeringTransportation02 engineering and technologycomputer.software_genre01 natural sciences010305 fluids & plasmas[SHS]Humanities and Social Sciences[SCCO]Cognitive scienceCrowds0903 Biomedical Engineering0102 Applied Mathematics11. Sustainability0202 electrical engineering electronic engineering information engineeringCluster AnalysisApplied Mathematicsbi-directional fluxcollective behaviourGeneral Medicine[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computational MathematicsCore (game theory)Modeling and Simulation[SCCO.PSYC]Cognitive science/Psychology020201 artificial intelligence & image processingGeneral Agricultural and Biological SciencesLife Sciences & BiomedicineBEHAVIORCrowd dynamicsRelation (database)Bioinformatics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]BioengineeringPedestrianModels PsychologicalMachine learningAdvanced Traffic Management SystemPedestrian traffic0103 physical sciencesHumansComputer Simulation[NLIN.NLIN-AO]Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO]Block (data storage)Science & Technologybusiness.industryMathematical ConceptsSIMULATIONSdata-based modelingCrowdingKey (cryptography)Artificial intelligenceMathematical & Computational Biologybusinesscomputer
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