Search results for "matemaattiset mallit"

showing 10 items of 78 documents

Environmentally‐induced noise dampens and reddens with increasing trophic level in a complex food web

2019

Stochastic variability of key abiotic factors including temperature, precipitation and the availability of light and nutrients greatly influences species’ ecological function and evolutionary fate. Despite such influence, ecologists have typically ignored the effect of abiotic stochasticity on the structure and dynamics of ecological networks. Here we help to fill that gap by advancing the theory of how abiotic stochasticity, in the form of environmental noise, affects the population dynamics of species within food webs. We do this by analysing an allometric trophic network model of Lake Constance subjected to positive (red), negative (blue), and non‐autocorrelated (white) abiotic temporal …

0106 biological sciences0301 basic medicinecoloured noiseAcousticsta1172Biology010603 evolutionary biology01 natural sciencesekosysteemithäiriöt03 medical and health sciencesEcology Evolution Behavior and Systematicsstokastiset prosessitTrophic levelvesiekosysteemitColoured noise15. Life on landFood webekosysteemit (ekologia)ecosystem dynamicsNoise030104 developmental biologyEcosystem dynamicsta1181matemaattiset mallitenvironmental stochasticityravintoverkotympäristönmuutoksetOikos
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Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests

2021

We propose a hierarchical log Gaussian Cox process (LGCP) for point patterns, where a set of points x affects another set of points y but not vice versa. We use the model to investigate the effect of large trees to the locations of seedlings. In the model, every point in x has a parametric influence kernel or signal, which together form an influence field. Conditionally on the parameters, the influence field acts as a spatial covariate in the intensity of the model, and the intensity itself is a non-linear function of the parameters. Points outside the observation window may affect the influence field inside the window. We propose an edge correction to account for this missing data. The par…

0106 biological sciencesStatistics and ProbabilityFOS: Computer and information sciences62F15 (Primary) 62M30 60G55 (Secondary)MCMCGaussianBayesian inferenceMarkovin ketjutStatistics - Applications010603 evolutionary biology01 natural sciencesCox processMethodology (stat.ME)010104 statistics & probabilitysymbols.namesakeregeneraatio (biologia)Applied mathematicsApplications (stat.AP)0101 mathematicsLaplace approximationStatistics - MethodologyGeneral Environmental ScienceParametric statisticsMathematicsspatial random effectsbayesilainen menetelmäMarkov chain Monte CarloFunction (mathematics)15. Life on landMissing dataMonte Carlo -menetelmätcompetition kernelLaplace's methodKernel (statistics)symbolstree regenerationpuustometsänhoitomatemaattiset mallitStatistics Probability and Uncertainty
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The effect of fish life-history structures on the topologies of aquatic food webs

2021

Biological organisms can vastly change their ecological functionality due to changes in body size and diet across their life. Consequently, it has been increasingly recognized that to attain sufficient biological realism, food webs may need to include life-history structures. The objective of the work is to study theoretically whether and how the inclusion of life-history structures affects the food web topology. Topological research was done by applying network theory metrics for three different food web types with two different sizes that were generated by using the niche-model. The dynamical modeling was performed by using an allometric trophic network modeling approach. The different ty…

0106 biological sciencesadjacency matrixComputer sciencegraph theoryNetwork theoryNetwork topology010603 evolutionary biology01 natural sciences03 medical and health sciencessymbols.namesakelife-history structureniche modelStatisticsEcology Evolution Behavior and Systematicskalat030304 developmental biologyApex predatorTrophic level0303 health sciencesBiomass (ecology)food webEcologyverkkoteoriavesiekosysteemitFood webPearson product-moment correlation coefficientekologinen lokeroelinkiertorandom networksymbolsAllometrymatemaattiset mallitravintoverkotFood Webs
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Uncertainty quantification on a spatial Markov-chain model for the progression of skin cancer

2019

AbstractA spatial Markov-chain model is formulated for the progression of skin cancer. The model is based on the division of the computational domain into nodal points, that can be in a binary state: either in ‘cancer state’ or in ‘non-cancer state’. The model assigns probabilities for the non-reversible transition from ‘non-cancer’ state to the ‘cancer state’ that depend on the states of the neighbouring nodes. The likelihood of transition further depends on the life burden intensity of the UV-rays that the skin is exposed to. The probabilistic nature of the process and the uncertainty in the input data is assessed by the use of Monte Carlo simulations. A good fit between experiments on mi…

65C05Skin NeoplasmsComputer scienceQuantitative Biology::Tissues and OrgansMarkovin ketjut0206 medical engineeringMonte Carlo methodPhysics::Medical PhysicsBinary number02 engineering and technologyArticleihosyöpä03 medical and health sciencesMicemedicineAnimalsHumansComputer SimulationStatistical physicsUncertainty quantification60J20stokastiset prosessit030304 developmental biologyProbability0303 health sciencesMarkov chainApplied MathematicsProbabilistic logicUncertaintyState (functional analysis)medicine.disease020601 biomedical engineeringAgricultural and Biological Sciences (miscellaneous)Markov ChainsCardinal pointModeling and Simulation65C40Disease Progressionmatemaattiset mallitSkin cancerMonte Carlo MethodJournal of Mathematical Biology
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Modeling of the Achilles Subtendons and Their Interactions in a Framework of the Absolute Nodal Coordinate Formulation

2022

Experimental results have revealed the sophisticated Achilles tendon (AT) structure, including its material properties and complex geometry. The latter incorporates a twisted design and composite construction consisting of three subtendons. Each of them has a nonstandard cross-section. All these factors make the AT deformation analysis computationally demanding. Generally, 3D finite solid elements are used to develop models for AT because they can discretize almost any shape, providing reliable results. However, they also require dense discretization in all three dimensions, leading to a high computational cost. One way to reduce degrees of freedom is the utilization of finite beam elements…

Achilles tendonbeam-to-beam contactarbitrary cross-sectionANCFelasticitykantajännebiomekaniikkamatemaattiset mallitbiomechanicskimmoisuus
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A modified niche model for generating food webs with stage-structured consumers : The stabilizing effects of life-history stages on complex food webs

2021

1. Almost all organisms grow in size during their lifetime and switch diets, trophic positions, and interacting partners as they grow. Such ontogenetic development introduces life-history stages and flows of biomass between the stages through growth and reproduction. However, current research on complex food webs rarely considers life-history stages. The few previously proposed methods do not take full advantage of the existing food web structural models that can produce realistic food web topologies. 2. We extended the niche model by Williams & Martinez (2000) to generate food webs that included trophic species with a life-history stage structure. Our method aggregated trophic species …

Biomass (ecology)education.field_of_studyTrophic speciesEcologycomplex food websPopulationNicheeducationdigestive oral and skin physiologyBiologykasvukompleksisuusFood webekologinen lokeroelinkiertolife-history stagesLife History StagesAllometrymatemaattiset malliteducationravintoverkotTrophic level
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Stability of charge-pump phase-locked loops : the hold-in and pull-in ranges

2020

The problem of design and analysis of synchronization control circuits is a challenging task for many applications: satellite navigation, digital communication, wireless networks, and others. In this article the Charge-Pump Phase-Locked Loop (CP-PLL) electronic circuit, which is used for frequency synthesis and clock generation in computer architectures, is studied. Analysis of CP-PLL is not trivial: full mathematical model, rigorous definitions, and analysis still remain open issues in many respects. This article is devoted to development of a mathematical model, taking into account engineering aspects of the circuit, interpretation of core engineering problems, definition in relation to m…

CP-PLLPFDcontrol of phase synchronizationsäätöteoriaphase-frequency detectorcharge-pumpsäätötekniikkaphase-locked loopselektroniset piiritnonlinear analysispull-in rangematemaattiset mallithold-in range
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Nonlinear Analysis of Charge-Pump Phase-Locked Loop : The Hold-In and Pull-In Ranges

2021

In this paper a fairly complete mathematical model of CP-PLL, which reliable enough to serve as a tool for credible analysis of dynamical properties of these circuits, is studied. We refine relevant mathematical definitions of the hold-in and pull-in ranges related to the local and global stability. Stability analysis of the steady state for the charge-pump phase locked loop is non-trivial: straight-forward linearization of available CP-PLL models may lead to incorrect conclusions, because the system is not smooth near the steady state and may experience overload. In this work necessary details for local stability analysis are presented and the hold-in range is computed. An upper estimate o…

CP-PLLvärähtelythidden oscillationsphase-locked loopsVCO overloadelektroniset piiritGardner conjecturecharge-pump PLLmatemaattiset mallit
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Spatial cumulant models enable spatially informed treatment strategies and analysis of local interactions in cancer systems

2023

AbstractTheoretical and applied cancer studies that use individual-based models (IBMs) have been limited by the lack of a mathematical formulation that enables rigorous analysis of these models. However, spatial cumulant models (SCMs), which have arisen from theoretical ecology, describe population dynamics generated by a specific family of IBMs, namely spatio-temporal point processes (STPPs). SCMs are spatially resolved population models formulated by a system of differential equations that approximate the dynamics of two STPP-generated summary statistics: first-order spatial cumulants (densities), and second-order spatial cumulants (spatial covariances).We exemplify how SCMs can be used i…

Cancer eco-evolutionApplied MathematicsMarkovin ketjut3122 CancersSpatial momentsMathematical oncologypopulaatiodynamiikkaAgricultural and Biological Sciences (miscellaneous)syöpäsolutIndividual-based modelsSpatio-temporal point processesModeling and Simulation111 MathematicsSannolikhetsteori och statistikonkologiamatemaattiset mallitProbability Theory and Statistics
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Hidden and self-excited attractors in radiophysical and biophysical models

2017

One of the central tasks of investigation of dynamical systems is the problem of analysis of the steady (limiting) behavior of the system after the completion of transient processes, i.e., the problem of localization and analysis of attractors (bounded sets of states of the system to which the system tends after transient processes from close initial states). Transition of the system with initial conditions from the vicinity of stationary state to an attractor corresponds to the case of a self-excited attractor. However, there exist attractors of another type: hidden attractors are attractors with the basin of attraction which does not have intersection with a small neighborhoods of any equ…

Chua circuitskaaosteoriapancreatic beta-cellvirtapiiritattraktoritradiophysical generatoroskillaattoritbiofysiikkaNonlinear Sciences::Chaotic Dynamicshidden attractorsbifurkaatiosäteilyfysiikkamultistabilityself-excited attractorskatastrofiteoriamatemaattiset mallitdifferentiaaliyhtälöt
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