Search results for "collective"

showing 10 items of 525 documents

Climate change: A driver of future conflicts in the Persian Gulf Region?

2021

Ongoing global change and its direct environmental impacts, in addition to securing economic transition to the post-oil era, could trigger complex socio-economic and political crises in oil-dependent economies of the Persian Gulf Region (PGR). To evaluate the role of climate change and related policies in degrading the environment and its socio-economic impacts in the PGR, we have used a variety of available global datasets and published data. The results show that the countries of the PGR pursue some types of socio-economic reforms to alleviate the impacts of climate change. However, it seems that these attempts are not compatible with the environment's capacity. The main problem stems fro…

010504 meteorology & atmospheric sciencesWater scarcityPersian GulfClimate change010501 environmental sciencesEnvironmentCollective actionGeopolitics01 natural sciencesWater scarcityEffects of global warming11. SustainabilityDevelopment economicsRevenueClimate changelcsh:Social sciences (General)lcsh:Science (General)0105 earth and related environmental sciencesMultidisciplinary1. No povertyGlobal changeEconomy13. Climate actionPreparedness8. Economic growth[SDE]Environmental Scienceslcsh:H1-99BusinessResearch Articlelcsh:Q1-390Heliyon
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Experience and dominance in fish pairs jointly shape parasite avoidance behaviour

2018

There is increasing evidence that the composition of a social group influences the fitness of its members. For example, group member identities can determine the exposure risk to contact-transmitted parasites and consequently impact the health of all group members. Here, we propose that group composition may also affect host exposure to parasite propagules prevailing in the environment via collective parasite avoidance behaviours. We explored the spatial avoidance of a trematode parasite, Diplostomum pseudospathaceum, using the simplest form of host groups, pairs of sea trout, Salmo trutta trutta. These pairs showed either (1) between-group heterogeneity in their experience with the parasit…

0106 biological sciences0301 basic medicinesocial dominanceZoologyAffect (psychology)eläinten käyttäytyminen010603 evolutionary biology01 natural sciencesSocial group03 medical and health sciencesloisetParasite hostingSalmoEcology Evolution Behavior and Systematicsgroup compositionbiologyHost (biology)parasite avoidancekalat (eläimet)socialitybiology.organism_classification030104 developmental biologyDominance (ethology)Avoidance behaviourcollective movementta1181Fish <Actinopterygii>Animal Science and ZoologyAnimal Behaviour
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Sex ratio and sexual conflict in a collective action problem

2020

AbstractThe maintenance of cooperation is difficult whenever collective action problems are vulnerable to freeriding (reaping the benefits without contributing to the maintenance of the good). We identify a novel factor that can make a system tolerate an extent of freeriding. If a population consists of discrete types with demographically distinct roles, such that the success of one type does not imply it can spread to replace other types in the population, then collective goods may persist in the presence of free-riders because they are necessarily kept in a minority role. Biased sex ratios (e.g. in haplodiploids) create conditions where individuals of one sex are a minority. We show that …

0106 biological sciences0303 health scienceseducation.field_of_studyPopulationfungiLimitingPublic goodCollective action010603 evolutionary biology01 natural sciencesPredationSexual conflict03 medical and health sciencesHaplodiploidyeducationPsychologySocial psychologySex ratio030304 developmental biology
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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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Patented intelligence: Cloning human decision models for Industry 4.0

2018

Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence (AI) embedded into various planning, production, and management processes in Industry 4.0 must take the initiative and responsibility for making necessary real-time decisions in many cases. In this paper, we suggest the Pi-Mind technology as a compromise between completely human-expert-driven decision-making and AI-driven decision-making. Pi-Mind enables capturing, cloning and patenting essential parameters of the decision models from a particular human expert making …

0209 industrial biotechnologyKnowledge managementIndustry 4.0Computer sciencecognitive modelsCompromisemedia_common.quotation_subjectpäätöksentekoCognitive computingRationality02 engineering and technologyIndustrial and Manufacturing Engineeringcyber-physical system020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringontologyindustry 4.0preferencevalue systemmedia_commonta113cloneta214Cloning (programming)business.industryCollective intelligencecollective intelligencedecision-makingPi-Mindsmart decisiontietämysjärjestelmätpatented intelligenceHardware and ArchitectureControl and Systems Engineeringteollisuusautomaatioälytekniikkavalmistustekniikka020201 artificial intelligence & image processingjoukkoälyHuman cloningbusinessDecision modelSoftwareJournal of Manufacturing Systems
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Bio-inspired evolutionary dynamics on complex networks under uncertain cross-inhibitory signals

2019

Given a large population of agents, each agent has three possiblechoices between option 1 or 2 or no option. The two options are equally favorable and the population has to reach consensus on one of the two options quickly and in a distributed way. The more popular an option is, the more likely it is to be chosen by uncommitted agents. Agents committed to one option can be attracted by those committed to the other option through a cross-inhibitory signal. This model originates in the context of honeybee swarms, and we generalize it to duopolistic competition and opinion dynamics. The contributions of this work include (i) the formulation of a model to explain the behavioral traits of the ho…

0209 industrial biotechnologyMathematical optimizationCollective behaviorAsymptotic stabilityComputer sciencePopulationContext (language use)02 engineering and technologyMachine learningcomputer.software_genreNetwork topologyCompetition (economics)020901 industrial engineering & automationNonlinear systems0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringEvolutionary dynamicseducationAbsolute stabilityeducation.field_of_studybusiness.industry020208 electrical & electronic engineeringAgentsDeadlock (game theory)Complex networkNetwork topologiesControl and Systems EngineeringArtificial intelligencebusinessDecision makingcomputerAutomatica
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Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

0209 industrial biotechnologyStochastic stabilityMathematical optimizationCollective behaviorTechnologyComputer sciencePopulationcontrol designcrowd-averse robust mean-field games state space extension dynamic agents linear stochastic differential equation Brownian motion adversarial disturbance cost functional cross-coupling mean-field term collective behavior stock market application production engineering example dynamic demand management problem robust mean-field game approximation error stochastic stability microscopic dynamics macroscopic dynamicscontrol engineering02 engineering and technology01 natural sciencesStochastic differential equationoptimal control020901 industrial engineering & automationQuadratic equationAutomation & Control SystemsEngineeringClosed loop systemsSettore ING-INF/04 - AutomaticaApproximation errorRobustness (computer science)Control theory0102 Applied MathematicsState space0101 mathematicsElectrical and Electronic EngineeringeducationBrownian motioneducation.field_of_studyScience & TechnologyStochastic process010102 general mathematicsRelaxation (iterative method)Engineering Electrical & ElectronicOptimal controlComputer Science Applications0906 Electrical and Electronic EngineeringIndustrial Engineering & AutomationMean field theoryControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa0913 Mechanical Engineering
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Collective behavior of quorum-sensing run-and-tumble particles in confinement

2016

We study a generic model for quorum-sensing bacteria in circular confinement. Every bacterium produces signaling molecules, the local concentration of which triggers a response when a certain threshold is reached. If this response lowers the motility then an aggregation of bacteria occurs, which differs fundamentally from standard motility-induced phase separation due to the long-ranged nature of the concentration of signal molecules. We analyze this phenomenon analytically and by numerical simulations employing two different protocols leading to stationary cluster and ring morphologies, respectively.

0301 basic medicineCollective behaviorGeneral Physics and AstronomyFOS: Physical sciencesNanotechnologyCondensed Matter - Soft Condensed MatterBacterial Physiological Phenomena01 natural sciencesSignalModels BiologicalQuantitative Biology::Cell BehaviorQuantitative Biology::Subcellular Processes03 medical and health sciences0103 physical sciencesCell Behavior (q-bio.CB)Cluster (physics)Physics - Biological Physics010306 general physicsCondensed Matter - Statistical MechanicsPhysicsStatistical Mechanics (cond-mat.stat-mech)ChemotaxisQuorum SensingQuorum sensing030104 developmental biologyChemical physicsBiological Physics (physics.bio-ph)FOS: Biological sciencesQuantitative Biology - Cell BehaviorSoft Condensed Matter (cond-mat.soft)
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Fibrinogen Gamma Chain Promotes Aggregation of Vesicular Stomatitis Virus in Saliva.

2020

This article belongs to the Section Animal Viruses.

0301 basic medicineFibrinogen-gamma chainVirologiaSalivaVirion aggregationviruses030106 microbiologyCelllcsh:QR1-502Fluorescent Antibody TechniqueViral transmissionProteomicsFibrinogenlcsh:MicrobiologyVesicular stomatitis Indiana virusArticleCell Line03 medical and health sciencesLabel-free proteomicsDownregulation and upregulationlabel-free proteomicsVirologymedicineHumansCollective infectious unitscollective infectious unitsSalivaCells CulturedbiologyChemistryviral transmissionVirionFibrinogenRNA virusbiology.organism_classificationVirus3. Good healthCell biologystomatognathic diseases030104 developmental biologyInfectious Diseasesmedicine.anatomical_structureVesicular stomatitis virusVesicular stomatitis virusvirion aggregationvesicular stomatitis virusVesicular Stomatitismedicine.drugViruses
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Dynamic longitudinal behavior in animals exposed to chronic social defeat stress

2020

AbstractChronic social defeat (CSD) can lead to impairments in social interaction and other behaviors that are supposed to model features of major depressive disorder (MDD). Not all animals subjected to CSD, however, develop these impairments, and maintained social interaction in some animals is widely used as a model for resilience to stress-induced mental dysfunctions. So far, animals have mainly been studied shortly (24 hours and 7 days) after CSD exposure and longitudinal development of behavioral phenotypes in individual animals has been mostly neglected. We have analyzed social interaction and novel object recognition behavior of stressed mice at different time points after CSD and ha…

0301 basic medicineMaleBehavioral phenotypesTime FactorsSocial SciencesSocial defeatMice0302 clinical medicineCognitionLearning and MemoryStress (linguistics)PsychologyLongitudinal Studiesmedia_commonMammalsMultidisciplinaryAnimal BehaviorBehavior AnimalQREukaryotaResilience PsychologicalLongitudinal developmentAggressionAnimal SocialityVertebratesMedicineMajor depressive disorderPsychological resilienceDisease SusceptibilityPsychologyBehavior Observation TechniquesNetwork AnalysisClinical psychologyResearch ArticleComputer and Information SciencesSciencemedia_common.quotation_subjectRodentsNetwork Resilience03 medical and health sciencesMemorymedicineAnimalsHumansInterpersonal RelationsNovel object recognitionBehaviorDepressive Disorder MajorNetwork resilience ; Visual object recognition ; Animal performance ; Behavior ; Animal sociality ; Collective animal behavior ; Animal behavior ; MiceOrganismsCognitive PsychologyBiology and Life SciencesCollective Animal Behaviormedicine.diseaseSocial relationDisease Models Animal030104 developmental biologyCollective Human BehaviorAmniotesChronic DiseaseCognitive SciencePerceptionCollective animal behaviorVisual Object RecognitionZoology030217 neurology & neurosurgeryStress PsychologicalNeurosciencePLoS ONE
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