Search results for "AKI"

showing 10 items of 5527 documents

Species co-occurrence networks of ground beetles in managed grasslands

2020

AbstractGrassland biodiversity, including traditional rural biotopes maintained by traditional agricultural practices, has become threatened worldwide. Road verges have been suggested to be complementary or compensatory habitats for species inhabiting grasslands. Species co-occurrence patterns linked with species traits can be used to separate between the different mechanisms (stochasticity, environmental filtering, biotic interactions) behind community structure. Here, we study species co-occurrence networks and underlying mechanisms of ground beetle species (Carabidae) in three different managed grassland types (meadows, pastures, road verges, n = 12 in each type) in Central Finland. We a…

0106 biological scienceslaitumetesiintyvyysBiodiversitytienpientareetkedotnurmet010603 evolutionary biology01 natural sciencesGrasslandGround beetlejoint species distribution modelsspecies traitsmaakiitäjäisetEcology Evolution Behavior and Systematicsbiodiversitygeography.geographical_feature_categoryEcologybiologyEcology010604 marine biology & hydrobiologyCommunity structureenvironmental filteringeliöyhteisötbiology.organism_classificationbiodiversiteettiGeographyHabitatAnimal ecologyThreatened speciesSpecies richnessCarabidae
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Anhydrobiosis: Inside yeast cells

2018

International audience; Under natural conditions yeast cells as well as other microorganisms are regularly subjected to the influence of severe drought, which leads to their serious dehydration. The dry seasons are then changed by rains and there is a restoration of normal water potential inside the cells. To survive such seasonal changes a lot of vegetative microbial cells, which belong to various genera and species, may be able to enter into a state of anhydrobiosis, in which their metabolism is temporarily and reversibly suspended or delayed. This evolutionarily developed adaptation to extreme conditions of the environment is widely used for practical goals - for conservation of microorg…

0106 biological scienceslipid-phaseCell Survivaldesiccation toleranceMicroorganismBiophysicsBioengineeringSaccharomyces cerevisiaeBiology01 natural sciencesApplied Microbiology and BiotechnologyDehydration-rehydrationDesiccation tolerance03 medical and health scienceswine yeastIntracellular protective reactions010608 biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringOrganelle[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineeringwater replacement hypothesisLaboratorium voor PlantenfysiologieDesiccationCryptobiosismembrane phase-transitions030304 developmental biology0303 health sciencesDehydrationWaterendoplasmic-reticulumplasma-membraneAnhydrobiosisYeastYeastDehydration–rehydrationYeast in winemaking[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyBiofysicaCellular MicroenvironmentIntracellular changesBiochemistryglass-transitioncandida-utilis cellsEPSAdaptationDesiccationsaccharomyces-cerevisiae cellsLaboratory of Plant PhysiologyBiotechnologyBiotechnology Advances
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Large differences in catch per unit of effort between two minnow trap models

2013

Background: Little is known about variation in catch per unit of effort (CPUE) in stickleback fisheries, or the factors explaining this variation. We investigated how nine-spined stickleback (Pungitius pungitius) CPUE was influenced by trap model by comparing the CPUEs of two very similar minnow trap models fished side-by-side in a paired experimental design. Results: The galvanized trap type (mean CPUE = 1.31 fish h–1) out-fished the black trap type (mean CPUE = 0.20 fish h–1) consistently, and yielded on average 81% more fish. Conclusions: The results demonstrate that small differences in trap appearance can have large impacts on CPUE. This has implications for studies designed to investi…

0106 biological sciencesputkimertaPungitius pungitiusDecision MakingcpueFisheriesfunnel trapColor010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologycatchabilityPungitiusAbundance (ecology)biology.animalpyydystettävyysyksikkösaalisAnimalspiikkikalaCatchability14. Life underwaterFunnel trapEcosystemMedicine(all)pyydysBehavior AnimalbiologyBiochemistry Genetics and Molecular Biology(all)stickleback010604 marine biology & hydrobiologySticklebackEquipment DesignGeneral MedicineSticklebackTrap (plumbing)Minnowbiology.organism_classificationSmegmamorphaTrapFisherykalastuskalatalousFishery1181 Ecology evolutionary biologyCPUEFish <Actinopterygii>trapResearch Article
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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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Teaching clinical reasoning and decision-making skills to nursing students: Design, development, and usability evaluation of a serious game

2016

Background\ud \ud Serious games (SGs) are a type of simulation technology that may provide nursing students with the opportunity to practice their clinical reasoning and decision-making skills in a safe and authentic environment. Despite the growing number of SGs developed for healthcare professionals, few SGs are video based or address the domain of home health care.\ud \ud Aims\ud \ud This paper aims to describe the design, development, and usability evaluation of a video based SG for teaching clinical reasoning and decision-making skills to nursing students who care for patients with chronic obstructive pulmonary disease (COPD) in home healthcare settings.\ud \ud Methods\ud \ud A prototy…

020205 medical informaticsPluralistic walkthroughCognitive walkthroughComputer scienceClinical Decision-MakingHealth Informatics02 engineering and technologyUsability labPulmonary Disease Chronic ObstructiveUser-Computer Interface03 medical and health sciencesNursingHeuristic evaluationUsability engineering0202 electrical engineering electronic engineering information engineeringHumansLearningWeb usabilityMotivation030504 nursingbusiness.industryTeachingEducation Nursing BaccalaureateUsabilityUsability goalsVideo GamesStudents NursingClinical CompetenceCurriculumEducational Measurement0305 other medical sciencebusinessInternational Journal of Medical Informatics
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Consistent Clustering of Elements in Large Pairwise Comparison Matrices

2018

[EN] In multi-attribute decision making the number of decision elements under consideration may be huge, especially for complex, real-world problems. Typically these elements are clustered and then the clusters organized hierarchically to reduce the number of elements to be simultaneously handled. These decomposition methodologies are intended to bring the problem within the cognitive ability of decision makers. However, such methodologies have disadvantages, and it may happen that such a priori clustering is not clear, and/or the problem has previously been addressed without any grouping action. This is the situation for the case study we address, in which a panel of experts gives opinions…

0209 industrial biotechnologyAHP0211 other engineering and technologiesAnalytic hierarchy process02 engineering and technologycomputer.software_genreWater distribution system (WDS)Pairwise comparisonMatrix (mathematics)020901 industrial engineering & automationSettore ING-IND/17 - Impianti Industriali MeccaniciDecomposition (computer science)Cluster (physics)Cluster analysisMathematics021103 operations researchApplied MathematicsManagement and operation of a WDSComputational MathematicsIdentification (information)Miller’s magic number sevenA priori and a posterioriPairwise comparisonData miningMiller's magic number sevenMATEMATICA APLICADAcomputerDecision-making
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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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Experimental Research on the Cutting of Metal Materials by Electrical Discharge Machining with Contact Breaking with Metal Band as Transfer Object

2020

The scientific paper presents practical research carried out by a mixed team of Romanian researchers from universities and the business environment. The research consists in applying the process of cutting metallic materials through electrical discharge machining with contact breaking using a metal band as a transfer object. The research was implemented with the help of a specially designed installation in the laboratory and subsequently all the necessary steps were taken to obtain the patent for it. Various metallic materials were cut using this process, but first of all, high alloy steels. In the global research conducted by the authors, active experimental programs and classic experiment…

0209 industrial biotechnologyProcess modelingComputer scienceMechanical engineering02 engineering and technologylcsh:TechnologyArticle020901 industrial engineering & automationElectrical discharge machiningMetallic materialsprocess modelingGeneral Materials SciencePoint (geometry)lcsh:Microscopycentral composite designcuttinglcsh:QC120-168.85lcsh:QH201-278.5lcsh:Telectrical discharge machining with contact breakingProcess (computing)021001 nanoscience & nanotechnologyObject (computer science)Experimental researchBusiness environmentlcsh:TA1-2040metal bandobjective functionslcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:Engineering (General). Civil engineering (General)0210 nano-technologylcsh:TK1-9971Materials
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Networked Bio-Inspired Evolutionary Dynamics on a Multi-Population

2019

We consider a multi-population, represented by a network of groups of individuals. Every player of each group can choose between two options, and we study the problem of reaching consensus. The dynamics not only depend on the dynamics within the group, but they also depend on the topology of the network, so neighboring groups influence individuals as well. First, we develop a mathematical model of this networked bio-inspired evolutionary behavior and we study its steady-state. We look at the special case where the underlying network topology is a regular and unweighted graph and show that the steady-state is a consensus equilibrium. A sufficient condition for exponential stability is given.…

0209 industrial biotechnologyTheoretical computer scienceComputer scienceMulti-agent system020208 electrical & electronic engineering02 engineering and technologyNetwork topologyGroup decision-making020901 industrial engineering & automationExponential stability0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Special caseEvolutionary dynamicsTopology (chemistry)2019 18th European Control Conference (ECC)
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