Search results for "MIM"

showing 10 items of 645 documents

Social information use about novel aposematic prey is not influenced by a predator’s previous experience with toxins

2019

Aposematism is an effective antipredator strategy. However, the initial evolution and maintenance of aposematism are paradoxical because conspicuous prey are vulnerable to attack by naive predators. Consequently, the evolution of aposematic signal mimicry is also difficult to explain. The cost of conspicuousness can be reduced if predators learn about novel aposematic prey by observing another predator's response to that same prey. On the other hand, observing positive foraging events might also inform predators about the presence of undefended mimics, accelerating predation on both mimics and their defended models. It is currently unknown, however, how personal and social information combi…

0106 biological sciencespredator-prey interactionstoksiinitZoologyAVOIDANCEAposematismBiology41 Environmental SciencesSTRATEGIC DECISIONSALTERNATIVE PREYFREQUENCY010603 evolutionary biology01 natural sciencesBATESIAN MIMICRYBasic Behavioral and Social SciencePredation03 medical and health sciencesDEFENDED PREYpetoeläimetBehavioral and Social ScienceCOLOR BIASEStoxin loadaposematismAVERSIONSSocial informationPredatorEcology Evolution Behavior and SystematicsEDUCATED PREDATORS030304 developmental biologysuojaväri0303 health sciencessaaliseläimetmimikry3103 EcologySocial learningBLACKBIRDSBatesian mimicrysosiaalinen oppiminengreat titssocial learning3109 Zoology1181 Ecology evolutionary biologyMimicrymimicry31 Biological Sciences
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Geographic mosaic of selection by avian predators on hindwing warning colour in a polymorphic aposematic moth

2020

AbstractWarning signals are predicted to develop signal monomorphism via positive frequency-dependent selection (+FDS) albeit many aposematic systems exhibit signal polymorphism. To understand this mismatch, we conducted a large-scale predation experiment in four locations, among which the frequencies of hindwing warning coloration of aposematic Arctia plantaginis differ. Here we show that selection by avian predators on warning colour is predicted by local morph frequency and predator community composition. We found +FDS to be strongest in monomorphic Scotland, and in contrast, lowest in polymorphic Finland, where different predators favour different male morphs. +FDS was also found in Geo…

0106 biological sciencespredatorspredator-prey interactionsFrequency-dependent selectionFREQUENCY-DEPENDENT SELECTIONDIVERSITYMoths01 natural sciencesMüllerian mimicrytäpläsiilikäsPredationmuuntelu (biologia)Arctia plantaginisPredatorFinland0303 health sciencesMonomorphismsaaliseläimetluonnonvalintaEcologywood tiger mothVARIABLE SELECTIONDIFFERENTIATIONPOISON FROG1181 Ecology evolutionary biologyMULLERIAN MIMICRYvaroitusväriColorZoologyAposematismBiology010603 evolutionary biologyBirds03 medical and health sciencesArctia plantaginisAposematismPARASEMIAcolour polymorphismpetoeläimetAnimalsaposematismfrequency‐dependent selectionEcology Evolution Behavior and SystematicsSelection (genetic algorithm)030304 developmental biologysignal variationsignal convergence010604 marine biology & hydrobiologypredator–prey interactionsEVOLUTIONSIGNALScotlandCommunity compositionPredatory Behavior
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Why aren't warning signals everywhere? : On the prevalence of aposematism and mimicry in communities

2021

Warning signals are a striking example of natural selection present in almost every ecological community - from Nordic meadows to tropical rainforests, defended prey species and their mimics ward off potential predators before they attack. Yet despite the wide distribution of warning signals, they are relatively scarce as a proportion of the total prey available, and more so in some biomes than others. Classically, warning signals are thought to be governed by positive density-dependent selection, i.e. they succeed better when they are more common. Therefore, after surmounting this initial barrier to their evolution, it is puzzling that they remain uncommon on the scale of the community. He…

0106 biological sciencesvaroitusväri570predator-prey interactionsFREQUENCY-DEPENDENT SELECTIONFrequency-dependent selectionPopulationBatesian mimicryAposematismMacroevolutionModels Biological010603 evolutionary biology01 natural sciencesRISK-TAKINGGeneral Biochemistry Genetics and Molecular BiologyMüllerian mimicryPredationANTIPREDATOR DEFENSES03 medical and health sciencesPrevalenceAnimalsaposematismecological nicheeducationMullerian mimicryBODY-SIZE030304 developmental biology0303 health scienceseducation.field_of_studyMüllerian mimicryEcologyBiological Mimicrymimikrypredator–prey interactionseliöyhteisötBiological EvolutionBatesian mimicrysaalistusekologinen lokeroCORAL-SNAKE PATTERNCHEMICAL DEFENSEGeographyCOLOR PATTERNPredatory Behavior1181 Ecology evolutionary biologyMimicrySHIFTING BALANCEGeneral Agricultural and Biological Sciencescommunity ecology
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Evaluating the potential for evolutionary mismatch in Batesian mimics: A case study in the endangered smooth snake (Coronella austriaca)

2018

Many harmless organisms gain a survival advantage by mimicking venomous species. This is the case of the endangered smooth snake (Coronella austriaca), which mimics venomous vipers. Although this may protect the smooth snake against most of its natural predators, it may render them at greater risk of mortality from humans, who are more inclined to kill species, such as vipers, that they consider dangerous. This may cause an evolutionary mismatch, whereby humans may counteract the natural advantage of mimicry. We explore this possibility of evaluating the willingness of humans to kill smooth snakes versus the adder (Vipera berus), as well as their ability to discern them in the Åland Islands…

0106 biological sciencesvaroitusväriVIPeRVipera berusconflictEndangered specieskyyZoologyAposematismmatelijat010603 evolutionary biology01 natural sciencescomplex mixturesPredationkäärmeetCoronella austriacakangaskäärmeGeneticsaposematismkäyttäytyminenEcology Evolution Behavior and Systematicsbiologylajiensuojelu010604 marine biology & hydrobiologymimikrybiology.organism_classificationBatesian mimicrysaalistusreptilesbehaviourPerspectiveMimicryta1181ihminen-eläinsuhdepredationGeneral Agricultural and Biological SciencesPerspectivesEvolutionary Applications
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Giant, unconventional anomalous Hall effect in the metallic frustrated magnet candidate, KV 3 Sb 5

2020

The anomalous Hall effect soars when Dirac quasiparticles meet frustrated magnetism.

02 engineering and technology01 natural sciencesCondensed Matter::Materials ScienceHall effectCondensed Matter::Superconductivity0103 physical sciencesAstrophysics::Solar and Stellar Astrophysics010306 general physicsAstrophysics::Galaxy AstrophysicsResearch ArticlesPhysicsMultidisciplinaryCondensed matter physicsScatteringDirac (video compression format)PhysicsSciAdv r-articles021001 nanoscience & nanotechnologyCondensed Matter::Mesoscopic Systems and Quantum Hall EffectSemimetalFerromagnetismMagnetQuasiparticleSpin Hall effectCondensed Matter::Strongly Correlated Electrons0210 nano-technologyResearch ArticleScience Advances
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Artificial Biosystems by Printing Biology

2020

The continuous progress of printing technologies over the past 20 years has fueled the development of a plethora of applications in materials sciences, flexible electronics, and biotechnologies. More recently, printing methodologies have started up to explore the world of Artificial Biology, offering new paradigms in the direct assembly of Artificial Biosystems (small condensates, compartments, networks, tissues, and organs) by mimicking the result of the evolution of living systems and also by redesigning natural biological systems, taking inspiration from them. This recent progress is reported in terms of a new field here defined as Printing Biology, resulting from the intersection betwee…

02 engineering and technologyGeneral ChemistryTop-down and bottom-up design010402 general chemistry021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencesLiving systemsBiomaterialsSynthetic biologyBiomimetic MaterialsPrinting Three-DimensionalSystems engineeringaqueous compartments artificial biosystems life-like systems molecular printing synthetic biologyGeneral Materials ScienceSynthetic Biology0210 nano-technologyBiotechnology
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Applying Biomimicry to Cities: The Forest as Model for Urban Planning and Design

2021

International audience; The idea of applying biomimicry to cities is attracting increasing attention as a way of achieving sustainability. Undoubtedly the most frequently evoked natural model in this context is the forest, though it has not yet been investigated with any great scientific rigour. To overcome this lacuna, we provide: first, a justification of the model of the forest via what we call the arguments from “fittingness”, “scale”, and “complexity”; second, an exploration of various key innovations made possible by this model in the fields of urban planning, urban water systems, urban energy and transport systems, and urban food and nutrient systems.

020209 energy0211 other engineering and technologiesBiomimetic architectureContext (language use)02 engineering and technologyBiomimetic urbanismRigourUrban planning11. Sustainability0202 electrical engineering electronic engineering information engineeringEconomicsEnvironmental planningSustainable cities021106 design practice & managementEco-cities[SDE.IE]Environmental Sciences/Environmental EngineeringScale (chemistry)[SHS.PHIL]Humanities and Social Sciences/PhilosophyEco-cities15. Life on landNature-based cities[SPI.GCIV]Engineering Sciences [physics]/Civil Engineering13. Climate actionSustainabilityBiomimeticsUrban water
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Adaptive Backstepping Control of a 2-DOF Helicopter

2019

This paper proposes an adaptive nonlinear controller for a 2-Degree of Freedom (DOF) helicopter. The proposed controller is designed using backstepping control technique and is used to track the pitch and yaw position references independently. A MIMO nonlinear mathematical model is derived for the 2DOF helicopter based on Euler-Lagrange equations, where the system parameters and the control coefficients are uncertain. Unlike some existing control schemes for the helicopter control, the developed controller does not require the knowledge on the system uncertain parameters. Updating laws are used to estimate the unknown parameters. It is shown that not only the global stability is guaranteed …

0209 industrial biotechnologyAdaptive controlComputer science020208 electrical & electronic engineeringMIMO02 engineering and technologyComputer Science::RoboticsNonlinear system020901 industrial engineering & automationComputer Science::Systems and ControlControl theoryRobustness (computer science)BacksteppingSystem parametersVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineeringPosition control
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A non-stationary relay-based 3D MIMO channel model with time-variant path gains for human activity recognition in indoor environments

2021

AbstractExtensive research showed that the physiological response of human tissue to exposure to low-frequency electromagnetic fields is the induction of an electric current in the body segments. As a result, each segment of the human body behaves as a relay, which retransmits the radio-frequency (RF) signal. To investigate the impact of this phenomenon on the Doppler characteristics of the received RF signal, we introduce a new three-dimensional (3D) non-stationary channel model to describe the propagation phenomenon taking place in an indoor environment. Here, the indoor space is equipped with a multiple-input multiple-output (MIMO) system. A single person is moving in the indoor space an…

0209 industrial biotechnologyComputer scienceMIMO020206 networking & telecommunications02 engineering and technologySignalVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Power (physics)law.inventionsymbols.namesake020901 industrial engineering & automationRelaylawPath (graph theory)0202 electrical engineering electronic engineering information engineeringsymbolsElectronic engineeringSpectrogramRadio frequencyElectrical and Electronic EngineeringDoppler effect
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Adaptive Neural Control of MIMO Nonstrict-Feedback Nonlinear Systems with Time Delay

2016

In this paper, an adaptive neural output-feedback tracking controller is designed for a class of multiple-input and multiple-output nonstrict-feedback nonlinear systems with time delay. The system coefficient and uncertain functions of our considered systems are both unknown. By employing neural networks to approximate the unknown function entries, and constructing a new input-driven filter, a backstepping design method of tracking controller is developed for the systems under consideration. The proposed controller can guarantee that all the signals in the closed-loop systems are ultimately bounded, and the time-varying target signal can be tracked within a small error as well. The main con…

0209 industrial biotechnologyComputer scienceMIMOAdaptive trackingoutput-feedback controller02 engineering and technologyNonlinear controlmultiple-input and multiple-output (MIMO)020901 industrial engineering & automationControl theoryAdaptive system0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringArtificial neural networkControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionFilter (signal processing)neural networksComputer Science ApplicationsHuman-Computer InteractionNonlinear systemControl and Systems EngineeringBackstepping020201 artificial intelligence & image processingAdaptive tracking; multiple-input and multiple-output (MIMO); neural networks; output-feedback controller; Control and Systems Engineering; Software; Information Systems; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringSoftwareInformation Systems
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