Search results for "Mathematical"

showing 10 items of 7967 documents

Cross inhibition improves activity selection when switching incurs time costs

2015

Abstract We consider a behavioural model of an animal choosing between two activities, based on positive feedback, and examine the effect of introducing cross inhibition between the motivations for the two activities. While cross-inhibition has previously been included in models of decision making, the question of what benefit it may provide to an animal’s activity selection behaviour has not previously been studied. In neuroscience and in collective behaviour cross-inhibition, and other equivalent means of coupling evidence-accumulating pathways, have been shown to approximate statistically-optimal decision-making and to adaptively break deadlock, thereby improving decision performance. Sw…

0106 biological sciencesCross inhibitionMathematical optimizationComputer science[SDV]Life Sciences [q-bio]010603 evolutionary biology01 natural sciencesTime cost0501 psychology and cognitive sciencesForaging050102 behavioral science & comparative psychologyGeometric frameworkkäyttäytyminenSelection (genetic algorithm)Positive feedbackBehaviorGeometric Framework05 social sciencesActivity selectionDeadlock (game theory)Cross inhibitionActivity SelectionGeometric frameworkCoupling (computer programming)Cross InhibitionAnimal Science and ZoologyDecision processNeuroscienceCurrent Zoology
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Decision support systems (DSS) for wastewater treatment plants - A review of the state of the art.

2019

The use of decision support systems (DSS) allows integrating all the issues related with sustainable development in view of providing a useful support to solve multi-scenario problems. In this work an extensive review on the DSSs applied to wastewater treatment plants (WWTPs) is presented. The main aim of the work is to provide an updated compendium on DSSs in view of supporting researchers and engineers on the selection of the most suitable method to address their management/operation/design problems. Results showed that DSSs were mostly used as a comprehensive tool that is capable of integrating several data and a multi-criteria perspective in order to provide more reliable results. Only …

0106 biological sciencesDecision support systemWastewater treatment plant (WWTP)Environmental EngineeringComputer sciencemedia_common.quotation_subjectAigües residuals -- Depuració:Desenvolupament humà i sostenible::Enginyeria ambiental::Tractament de l'aigua [Àrees temàtiques de la UPC]Bioengineering010501 environmental sciencesDecision support systemsWastewater01 natural sciencesSoftwareSistemes d'ajuda a la decisióDecision support system (DSS)010608 biotechnologySustainable developmentDesenvolupament sostenibleQuality (business)Waste WaterDecision-makingSewage disposal plantsWaste Management and Disposal0105 earth and related environmental sciencesmedia_commonDSSSustainable developmentSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleMathematical modellingRenewable Energy Sustainability and the Environmentbusiness.industryDecision – making processDecision–making processUsabilityGeneral MedicineCompendiumWork (electrical)Risk analysis (engineering)Decision – making proce:Informàtica::Intel·ligència artificial [Àrees temàtiques de la UPC]businessSoftwareProcess optimizationBioresource technology
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Decoding Group Vocalizations: The Acoustic Energy Distribution of Chorus Howls Is Useful to Determine Wolf Reproduction

2016

Population monitoring is crucial for wildlife management and conservation. In the last few decades, wildlife researchers have increasingly applied bioacoustics tools to obtain information on several essential ecological parameters, such as distribution and abundance. One such application involves wolves (Canis lupus). These canids respond to simulated howls by emitting group vocalizations known as chorus howls. These responses to simulated howls reveal the presence of wolf litters during the breeding period and are therefore often used to determine the status of wolf populations. However, the acoustic structure of chorus howls is complex and discriminating the presence of pups in a chorus i…

0106 biological sciencesEntropyPopulation Dynamicslcsh:MedicineWildlife01 natural sciencesVocalizationMathematical and Statistical Techniqueslcsh:ScienceAnimal Signaling and CommunicationIberian wolfMammalseducation.field_of_studyMultidisciplinarybiologyAnimal BehaviorBehavior AnimalEcologyPhysicsReproductionAcoustic energyCanisPhysical SciencesVertebratesThermodynamicsCartographyStatistics (Mathematics)Research ArticleConservation of Natural ResourcesBioacousticsAnimal TypesPopulationResearch and Analysis Methods010603 evolutionary biologyCoyotesAcoustic SignalsAnimalsWildlife managementStatistical MethodseducationEcosystemBehaviorWolvesReproductive success010604 marine biology & hydrobiologylcsh:RChorusOrganismsBiology and Life SciencesAcousticsJackalsModels Theoreticalbiology.organism_classificationAmnioteslcsh:QVocalization AnimalZoologyBioacousticsMathematicsForecasting
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A plant-wide modelling comparison between membrane bioreactors and conventional activated sludge

2020

Abstract A comprehensive plant-wide mathematical modelling comparison between conventional activated sludge (CAS) and Membrane bioreactor (MBR) systems is presented. The main aim of this study is to highlight the key features of CAS and MBR in order to provide a guide for an effective plant operation. A scenario analysis was performed to investigate the influence on direct and indirect greenhouse gas (GHG) emissions and operating costs of (i) the composition of inflow wastewater (scenario 1), (ii) operating conditions (scenario 2) and (iii) oxygen transfer efficiency (scenario 3). Scenarios show higher indirect GHG emissions for MBR than CAS, which result is related to the higher energy con…

0106 biological sciencesEnvironmental EngineeringBioengineeringWastewater010501 environmental sciencesMembrane bioreactor01 natural sciencesWaste Disposal FluidGreenhouse GasesBioreactors010608 biotechnologyBioreactorWaste WaterScenario analysisWaste Management and Disposal0105 earth and related environmental sciencesWWTPEnergy demandMathematical modellingSewageSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleRenewable Energy Sustainability and the EnvironmentEnvironmental engineeringMembranes ArtificialGeneral MedicineEnergy consumptionActivated sludgeWastewaterPlant-wide modelGreenhouse gasSimple modelEnvironmental scienceWaste disposal
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Dynamic Mathematical Modelling of the Removal of Hydrophilic VOCs by Biotrickling Filters

2015

A mathematical model for the simulation of the removal of hydrophilic compounds using biotrickling filtration was developed. The model takes into account that biotrickling filters operate by using an intermittent spraying pattern. During spraying periods, a mobile liquid phase was considered, while during non-spraying periods, a stagnant liquid phase was considered. The model was calibrated and validated with data from laboratory- and industrial-scale biotrickling filters. The laboratory experiments exhibited peaks of pollutants in the outlet of the biotrickling filter during spraying periods, while during non-spraying periods, near complete removal of the pollutant was achieved. The gaseou…

0106 biological sciencesHealth Toxicology and Mutagenesisbiotrickling filtrationlcsh:MedicineLiquid phase010501 environmental sciences01 natural sciencesArticlelaw.inventionBioreactorslaw010608 biotechnologyvolatile organic compoundsparasitic diseasesmathematical modellingFiltration0105 earth and related environmental sciencesPollutantlcsh:RPublic Health Environmental and Occupational HealthEnvironmental engineeringQuímicaModels TheoreticalCarbon6. Clean waterVolumetric flow rateFilter (aquarium)13. Climate actionEnvironmental scienceair pollution controlFiltrationInternational Journal of Environmental Research and Public Health
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Risk of predation makes foragers less choosy about their food.

2017

18 pages; International audience; Animals foraging in the wild have to balance speed of decision making and accuracy of assessment of a food item's quality. If resource quality is important for maximizing fitness, then the duration of decision making may be in conflict with other crucial and time consuming tasks, such as anti-predator behaviours or competition monitoring. Individuals facing the risk of predation and/or competition should adjust the duration of decision making and, as a consequence, their level of choosiness for resources. When exposed to predation, the forager could either maintain its level of choosiness for food items but accept a reduction in the amount of food items con…

0106 biological sciencesPhysiologylcsh:MedicinePredationSocial SciencesKaplan-Meier EstimateChoice Behavior01 natural sciencesPredationCognitionMathematical and Statistical TechniquesBeetlesMedicine and Health Sciences[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisPsychologyForagingDecision-makinglcsh:Sciencemedia_common2. Zero hungerMultidisciplinaryEcologyAnimal BehaviorEcology05 social sciencesEukaryotaPlantsTrophic InteractionsInsectsCommunity EcologyPhysical SciencesSeedsStatistics (Mathematics)Research ArticleRiskOpportunity costArthropodaMovementmedia_common.quotation_subjectDecision MakingForagingBiologyResearch and Analysis Methods010603 evolutionary biologyIntraspecific competitionCompetition (biology)Food PreferencesAnimals0501 psychology and cognitive sciencesQuality (business)050102 behavioral science & comparative psychologyStatistical MethodsBehavior[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologylcsh:REcology and Environmental SciencesCognitive PsychologyFood ConsumptionOrganismsBiology and Life SciencesInterspecific competitionInvertebratesFoodPredatory BehaviorCognitive Sciencelcsh:QWeeds[SDE.BE]Environmental Sciences/Biodiversity and EcologyPhysiological ProcessesZoologyMathematicsNeuroscienceGeneralized Linear ModelDemography[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Variational Approximations for Generalized Linear Latent Variable Models

2017

Generalized linear latent variable models (GLLVMs) are a powerful class of models for understanding the relationships among multiple, correlated responses. Estimation, however, presents a major challenge, as the marginal likelihood does not possess a closed form for nonnormal responses. We propose a variational approximation (VA) method for estimating GLLVMs. For the common cases of binary, ordinal, and overdispersed count data, we derive fully closed-form approximations to the marginal log-likelihood function in each case. Compared to other methods such as the expectation-maximization algorithm, estimation using VA is fast and straightforward to implement. Predictions of the latent variabl…

0106 biological sciencesStatistics and ProbabilityMathematical optimizationBinary numberfactor analysisLatent variableordination010603 evolutionary biology01 natural sciences010104 statistics & probabilityItem response theoryDiscrete Mathematics and CombinatoricsApplied mathematicslatent trait0101 mathematicsLatent variable modelMathematicsta112item response theoryFunction (mathematics)Latent class modelMarginal likelihoodfaktorianalyysipappisvihkimysmultivariate analysisvariational approximationStatistics Probability and UncertaintyCount data
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Priorities for research in soil ecology

2017

The ecological interactions that occur in and with soil are of consequence in many ecosystems on the planet. These interactions provide numerous essential ecosystem services, and the sustainable management of soils has attracted increasing scientific and public attention. Although soil ecology emerged as an independent field of research many decades ago, and we have gained important insights into the functioning of soils, there still are fundamental aspects that need to be better understood to ensure that the ecosystem services that soils provide are not lost and that soils can be used in a sustainable way. In this perspectives paper, we highlight some of the major knowledge gaps that shoul…

0106 biological sciencesaboveground-belowground interactionsSoil biodiversityAboveground-belowground interactionssoil processesWiskundige en Statistische Methoden - Biometris01 natural sciencesEcosystem servicesekosysteemitSoil managementMicrobial ecologyNovel environmentsSoil food webClimate changeGlobal change2. Zero hungerSoil healthbiodiversity–ecosystem functioningEcologySoil Biology04 agricultural and veterinary sciencesSoil processesPE&RCclimate changeekosysteemipalvelutGeographyBiogeographyinternationalSoil managementBiodiversity–ecosystem functioningplant-microbe interactionsSoil Sciencesoil biodiversityChemical ecologyAboveground-belowground interactions; Biodiversity–ecosystem functioning; Biogeography; Chemical ecology; Climate change; Ecosystem services; Global change; Microbial ecology; Novel environments; Plant-microbe interactions; Soil biodiversity; Soil food web; Soil management; Soil processes010603 evolutionary biologyArticleeliömaantiedesoil food webSoil governanceSoil food webSoil ecologyEcosystem servicesMathematical and Statistical Methods - BiometrisEnvironmental planningBodembiologieglobal changeEcology Evolution Behavior and Systematicsmaaperänsuojeluchemical ecology15. Life on landSoil biodiversitybiodiversiteettiekosysteemit (ekologia)mikrobiekologia13. Climate actionSustainable management040103 agronomy & agricultureta1181ilmastonmuutosnovel environments0401 agriculture forestry and fisheriessoil managementPlant-microbe interactions
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Non-unique population dynamics: basic patterns

2000

We review the basic patterns of complex non-uniqueness in simple discrete-time population dynamics models. We begin by studying a population dynamics model of a single species with a two-stage, two-habitat life cycle. We then explore in greater detail two ecological models describing host‐macroparasite and host‐parasitoid interspecific interactions. In general, several types of attractors, e.g. point equilibria vs. chaotic, periodic vs. quasiperiodic and quasiperiodic vs. chaotic attractors, may coexist in the same mapping. This non-uniqueness also indicates that the bifurcation diagrams, or the routes to chaos, depend on initial conditions and are therefore non-unique. The basins of attrac…

0106 biological scienceseducation.field_of_studyMathematical modelEcologyEcological ModelingPopulationChaoticBiologyBifurcation diagram010603 evolutionary biology01 natural sciences010601 ecologyFractalAnimal ecologyQuasiperiodic functionAttractorStatistical physicseducationEcological Modelling
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District heating networks: enhancement of the efficiency

2019

International audience; During the decades the district heating's (DH) advantages (more cost-efficient heat generation and reduced air pollution) overcompensated the additional costs of transmission and distribution of the centrally produced thermal energy to consumers. Rapid increase in the efficiency of low-power heaters, development of separated low heat density areas in cities reduce the competitiveness of the large centralized DH systems in comparison with the distributed cluster-size networks and even local heating. Reduction of transmission costs, enhancement of the network efficiency by optimization of the design of the DH networks become a critical issue. The methodology for determ…

020209 energynetwork design02 engineering and technology7. Clean energyAutomotive engineeringReduction (complexity)JEL: C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special Topics/C.C4.C45 - Neural Networks and Related Topicsbenchmarking methodologies11. Sustainability0202 electrical engineering electronic engineering information engineeringdistrict heatingbusiness.industry020208 electrical & electronic engineeringdata miningBenchmarkingJEL: O - Economic Development Innovation Technological Change and Growth/O.O1 - Economic Development/O.O1.O13 - Agriculture • Natural Resources • Energy • Environment • Other Primary Products[SHS.ECO]Humanities and Social Sciences/Economics and FinanceNetwork planning and designVariable (computer science)Transmission (telecommunications)13. Climate actionHeat generationKey (cryptography)Environmental sciencebusinessJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C24 - Truncated and Censored Models • Switching Regression Models • Threshold Regression ModelsThermal energyInsights into Regional Development
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