Search results for "modelling."

showing 10 items of 1269 documents

Computational Science of Religion

2021

This article provides a basic overview of the most common methods of computer modelling and simulation that are currently being used to study religion. It focuses on the use (and illustrates the value) of system dynamics models, agent-based models, including game theory and multi-agent artificial intelligence models, and artificial neural networks. General use case examples are provided, and considerations for future research are discussed. We conclude by encouraging scholars interested in religion and related fields to incorporate techniques from the computational science of religion into their collaborative methodological toolkits.

Agent-based modelComputer scienceComputer modellingGeneral MedicineValue (mathematics)Computational scienceJournal for the Cognitive Science of Religion
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Do editors have a silver bullet? an agent-based model of peer review

2014

This paper presents an agent-based model of peer review that looks at the effect of different editorial policies of referee selection. We tested four author/referee matching scenarios as follows: random selection of referees, selection of referees with a similar status to submission authors, selection of higher-skilled and lower skilled referees. We tested these scenarios against three types of referee behaviour, i.e., fair, unreliable and strategic and measured their implications for the quality and efficiency of the process. Results show that in case of randomness of referee judgment, any editorial policy is detrimental for peer review. If referees behave strategically, certain matching p…

Agent-based modelMatching (statistics)Actuarial scienceOperations researchComputer scienceProcess (engineering)media_common.quotation_subjectReferee behaviourAgent-based modelling Editor Peer review Referee behaviour Referee-author matching policyPeer reviewAgent-based modellingSilver bulletQuality (business)Referee-author matching policySelection (genetic algorithm)Editormedia_common
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Competence analysis of an open modelling task

2015

[ES] Según diversos autores, las actividades dirigidas al desarrollo conjunto de las competencias matemáticas deben relacionarse con la realidad y los procesos de modelización matemática. El objetivo del presente trabajo es describir, a partir de la producción de un grupo de alumnos de tercer curso de ESO, las competencias que los alumnos han de poner en juego para resolver una tarea genuina y completa de modelización y que formarían parte de la propia competencia en Modelización.

Alfabetización matemáticaCompetencias matemáticasModelling ProcessEducación Secundaria Mathematical LiteracyModelling TaskSecondary EducationEducació secundàriaMathematics CompetenciesMATEMATICA APLICADAMatemàtica EnsenyamentProceso de modelizaciónTareas de modelización
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Triggering collective action for bio-energy supply chain through contract schemes

2016

This paper discusses contractual features to manage and coordinate a hypothetical bio-energy supply chain. The present study focuses on farmers operating in two Regions of Italy, namely Sicily and Campania, somewhat representative of areas with high potential of investments in new bioenergy supply value chain. Farmers were asked to choose whether to participate or not in a collective investment regulated by contract schemes. Monetary trade-offs were then computed among contract attributes. A specific questionnaire was submitted to a sample of farmers selected on the basis of their potential capability of investments. A stated preference modelling approach was implemented so that farmers cou…

Algal biomass; Biofuel; Choice modelling; Geography Planning and Development; Agronomy and Crop Science; Economics and EconometricsEconomics and EconometricsBiofuelChoice modellingGeography Planning and DevelopmentAlgal biomaAgronomy and Crop Science
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Modelling of FRP and FRCM-Confined Masonry Columns: Critical Review for Design and Intervention Strategies

2022

This paper presents a critical review of the most established analytical models for the prediction of the compressive strength of FRP and FRCM-confined masonry columns. In particular, two types of fibres are analysed, i.e. glass and basalt. A wide dataset available in the literature is used for the application of the analytical models and for the development of parametric analyses useful for the critical comparison of FRP vs. FRCM confinement technique and glass vs. basalt fibres to be adopted as reinforcement of masonry substrate. The effects of stiffness and strength of the reinforcement, the number of reinforcing layers, the compressive strength of masonry and the cross-section shape are…

Analytical modellingMasonry columnsParametric analysisFRCMConfinementFRP
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Data from: Parallel diversifications of Cremastosperma and Mosannona (Annonaceae), tropical rainforest trees tracking Neogene upheaval of South Ameri…

2017

Much of the immense present day biological diversity of Neotropical rainforests originated from the Miocene onwards, a period of geological and ecological upheaval in South America. We assess the impact of the Andean orogeny, drainage of lake Pebas, and closure of the Panama Isthmus on two clades of tropical trees (Cremastosperma, c. 31 spp.; and Mosannona, c. 14 spp.; both Annonaceae). Phylogenetic inference revealed similar patterns of geographically restricted clades and molecular dating showed diversifications in the different areas occurred in parallel, with timing consistent with Andean vicariance and Central American geodispersal. Ecological niche modelling approaches show phylogenet…

Andean orogenyAnnonaceaePE&RCLife sciencesMalmeoideaeBiosystematiekmedicine and health careMosannonaMedicineBiosystematicsCremastospermaniche modellingNeogeneEPSLaboratory of Nematologymolecular datingLaboratorium voor NematologieNiche ModellingPebas system
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A second strain gradient elasticity theory with second velocity gradient inertia – Part II: Dynamic behavior

2013

Abstract This paper is the sequel of a companion Part I paper devoted to the constitutive equations and to the quasi-static behavior of a second strain gradient material model with second velocity gradient inertia. In the present Part II paper, a multi-cell homogenization procedure (developed in the Part I paper) is applied to a nonhomogeneous body modelled as a simple material cell system, in conjunction with the principle of virtual work (PVW) for inertial actions (i.e. momenta and inertia forces), which at the macro-scale level takes on the typical format as for a second velocity gradient inertia material model. The latter (macro-scale) PVW is used to determine the equilibrium equations …

Angular momentummedia_common.quotation_subjectRotary inertiaPolhodeContinuum thermodynamicsInertiaMoment of inertia factorsymbols.namesakeMaterials Science(all)Modelling and SimulationGeneral Materials ScienceEuler's equationsmedia_commonMathematicsWave propagationApplied MathematicsMechanical EngineeringMathematical analysisMoment of inertiaCondensed Matter PhysicsRigid body dynamicsDynamicsGradient elasticityClassical mechanicsHigher order inertiaMechanics of MaterialsModeling and SimulationsymbolsInternational Journal of Solids and Structures
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A gradient elasticity theory for second-grade materials and higher order inertia

2012

Abstract Second-grade elastic materials featured by a free energy depending on the strain and the strain gradient, and a kinetic energy depending on the velocity and the velocity gradient, are addressed. An inertial energy balance principle and a virtual work principle for inertial actions are envisioned to enrich the set of traditional theoretical tools of thermodynamics and continuum mechanics. The state variables include the body momentum and the surface momentum, related to the velocity in a nonstandard way, as well as the concomitant mass-accelerations and inertial forces, which do intervene into the motion equations and into the force boundary conditions. The boundary traction is the …

Angular momentummedia_common.quotation_subjectTraction (engineering)Continuum thermodynamicsInertiaMaterials Science(all)Modelling and SimulationWave dispersionGeneral Materials ScienceVirtual workBoundary value problemmedia_commonMathematicsContinuum mechanicsForce densityMechanical EngineeringApplied MathematicsMathematical analysisEquations of motionCondensed Matter PhysicsDynamicsGradient elasticityClassical mechanicsHigher order inertiaMechanics of MaterialsModeling and SimulationInternational Journal of Solids and Structures
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Modelling the dynamics of the students’ academic performance in the German region of the North Rhine-Westphalia: an epidemiological approach with unc…

2013

Student academic underachievement is a concern of paramount importance in Europe, where around 15% of the students in the last high school courses do not achieve the minimum knowledge academic requirement. In this paper, we propose a model based on a system of differential equations to study the dynamics of the students academic performance in the German region of North Rhine-Westphalia. This approach is supported by the idea that both, good and bad study habits, are a mixture of personal decisions and influence of classmates. This model allows us to forecast the student academic performance by means of confidence intervals over the next few years.

Applied MathematicsForecasting in Social SciencesNon-linear System of Differential EquationsModellingConfidence intervallanguage.human_languageComputer Science ApplicationsGermanBootstrap Confidence Intervals.Computational Theory and MathematicsSystem of differential equationsDynamics (music)ComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationlanguageStudent Academic PerformanceBootstrap confidence intervalMATEMATICA APLICADAMathematicsInternational Journal of Computer Mathematics
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Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models

2022

Aquaponic systems provide a reliable solution to grow vegetables while cultivating fish (or other aquatic organisms) in a controlled environment. The main advantage of these systems compared with traditional soil-based agriculture and aquaculture installations is the ability to produce fish and vegetables with low water consumption. Aquaponics requires a robust control system capable of optimizing fish and plant growth while ensuring a safe operation. To support the control system, this work explores the design process of Deep Learning models based on Recurrent Neural Networks to forecast one hour of pH values in small-scale industrial Aquaponics. This implementation guides us through the m…

AquaponicsRecurrent Neural NetworkGated Recurrent UnitData-driven ModellingGeneral MedicineVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Long Short-term MemoryProceedings of the Northern Lights Deep Learning Workshop
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