Search results for "Biological system"

showing 10 items of 319 documents

A stochastic interspecific competition model to predict the behaviour of Listeria monocytogenes in the fermentation process of a traditional Sicilian…

2008

The present paper discusses the use of modified Lotka-Volterra equations in order to stochastically simulate the behaviour of Listeria monocytogenes and Lactic Acid Bacteria (LAB) during the fermentation period (168 h) of a typical Sicilian salami. For this purpose, the differential equation system is set considering T, pH and aw as stochastic variables. Each of them is governed by dynamics that involve a deterministic linear decrease as a function of the time t and an "additive noise" term which instantaneously mimics the fluctuations of T, pH and aw. The choice of a suitable parameter accounting for the interaction of LAB on L. monocytogenes as well as the introduction of appropriate nois…

Stochastic approachWater activityDifferential equationStochastic modellingBiologymedicine.disease_causeBiochemistryNoise (electronics)Industrial and Manufacturing EngineeringQuantitative Biology::Cell BehaviorInterspecific competition modelListeria monocytogenesLactic acid bacteriamedicineQuantitative Biology - Populations and EvolutionListeria monocytogenePredictive microbiologybusiness.industryPopulations and Evolution (q-bio.PE)Environmental noiseGeneral ChemistryFunction (mathematics)Listeria monocytogenesSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)BiotechnologyPredictive microbiology; Interspecific competition model; Stochastic approach; Environmental noise; Listeria monocytogenes; Lactic acid bacteriaFOS: Biological sciencesProbability distributionFermentationBiological systembusinessFood ScienceBiotechnologyEuropean Food Research and Technology
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Evidence of stochastic resonance in the mating behavior of Nezara viridula (L.)

2008

We investigate the role of the noise in the mating behavior between individuals of Nezara viridula (L.), by analyzing the temporal and spectral features of the non-pulsed type female calling song emitted by single individuals. We have measured the threshold level for the signal detection, by performing experiments with the calling signal at different intensities and analyzing the insect response by directionality tests performed on a group of male individuals. By using a sub-threshold signal and an acoustic Gaussian noise source, we have investigated the insect response for different levels of noise, finding behavioral activation for suitable noise intensities. In particular, the percentage…

Stochastic resonanceFOS: Physical sciencesNoise in biological systemQuantitative Biology - Quantitative MethodsSignalsymbols.namesakeDirectionalityDetection theoryPhysics - Biological PhysicsQuantitative Methods (q-bio.QM)Biophysical mechanisms of interactionPhysicsFluctuation phenomena random processes noise and Brownian motionbiologyNoise (signal processing)Noise in biological systems; Biophysical mechanisms of interaction; Fluctuation phenomena random processes noise and Brownian motionCondensed Matter Physicsbiology.organism_classificationSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Electronic Optical and Magnetic MaterialsBiological Physics (physics.bio-ph)Gaussian noiseNezara viridulaFOS: Biological sciencessymbolsThreshold modelBiological system
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Characterization and Modelization of Surface Net Radiation through Neural Networks

2010

Artificial neural networks have shown to be a powerful tool for system modeling in a wide range of applications. In this chapter, the focus is on neural network applications to obtain qualitative/quantitative relationships between meteorological and soil parameters and net radiation, the latter being a significant term of the surface energy balance equation. By using a Multilayer Perceptron model an artificial neural network based on the above mentioned parameters, net radiation was estimated over a vineyard crop. A comparison has been made between the estimates provided by the Multilayer Perceptron and a linear regression model that only uses solar incoming shortwave radiation as input par…

Surface (mathematics)Artificial neural networkNet radiationComputer Science::Neural and Evolutionary ComputationEnvironmental scienceBiological systemCharacterization (materials science)
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Comparison of leaf surface roughness analysis methods by sensitivity to noise analysis

2015

International audience; Surface roughness is of great interest in agricultural spraying because it is used to characterise leaf surface wettability to predict the behaviour of droplets on a leaf surface. In recent years, the use of texture analysis to estimate surface roughness has emerged. In this paper we propose to estimate leaf surface roughness by using an optimisation of the Generalized Fourier Descriptors method. This approach is then compared with two other standard methods in the literature, one based on grey level intensity variation and the other on wavelet decomposition. Since roughness has many definitions and each method is calculated differently, we propose a new approach to …

Surface (mathematics)Materials science[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingGaussianSoil ScienceWavelet decompositionSurface finishLeaf roughnessNoise analysissymbols.namesakeOptics[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingSurface roughnessSensitivity (control systems)Generalized Fourier DescriptorsSensitivity indicatorbusiness.industryOptical roughnessNoiseControl and Systems EngineeringsymbolsWettingBiological systembusinessAgronomy and Crop ScienceIntensity (heat transfer)Food Science
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Effective elastic properties of biocomposites using 3D computational homogenization and X-ray microcomputed tomography

2021

A 3D computational homogenization method based on X-ray microcomputed tomography (μCT) was proposed and implemented to investigate how the fiber weight fraction, orthotropy and orientation distribution affect the effective elastic properties of regenerated cellulose fiber-polylactic acid (PLA) biocomposites. Three-dimensional microstructures reconstructed by means of the X-ray μCT were used as the representative volume elements (RVEs) and incorporated into the finite element solver within the computational homogenization framework. The present method used Euclidean bipartite matching technique so as to eliminate the generation of artificial periodic boundaries and use the in-situ solution d…

Surface (mathematics)Materials scienceröntgentekniikkaComputational homogenizationHomogenization (chemistry)X-Ray Microcomputed TomographytomografiaFiberFiber3D-mallinnuskomposiititCivil and Structural EngineeringBiocompositeskuidutOrientation (computer vision)Regenerated celluloseReconstruction algorithmMicrostructuremikrorakenteetmateriaalitutkimuskuvantaminenröntgenkuvausCeramics and CompositesReconstructionBiological systemX-ray microcomputed tomography
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Vectorized ‘‘TOPO’’ Program for the Theoretical Simulation of Molecular Shape

1991

The TOPO program for theoretical simulation of molecular shape is presented here. Molecular shape is characterized by a set of electrostatic and geometrical descriptors and topological indices including the fractal dimension of the accessible surface. An atom-atom analysis of all descriptors has been implemented. The program has been adapted for the realization of high-performance computing. Results are reported for porphine and phthalocyanine molecules.

Surface (mathematics)PhysicsMolecular modelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONElectrostaticsBiochemistryFractal dimensionSet (abstract data type)FractalArtificial intelligenceBiological systembusinessRealization (systems)Topology (chemistry)ComputingMethodologies_COMPUTERGRAPHICSAIP Conference Proceedings
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Approximation of Continuous Media Models for Granular Systems Using Cellular Automata

2004

In this paper a new cellular automata model suitable for granular systems simulation is presented. The proposed model is shown to be equivalent to a particularization of the well known BCRE model of granular systems and a correspondence between the parameters of the presented model and the BCRE model is also set, allowing to fit these parameters for a given system. The model has the advantage over other cellular automata models of being more realistic in the behavior of the surface of heaps and slopes. The dynamics of the CA is analyzed in order to confirm that it also has one of the most important features of these systems, 1/f noise.

Surface (mathematics)Set (abstract data type)NoiseSystems simulationComputer scienceContinuous modellingBiological systemAlgorithmCellular automaton
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Smart Sustainable Development Approach and its Implementation in Engineering Organizations

2014

This paper explores the concept of sustainability in engineering systems and proposes a smart conceptual framework for engineering organization development. Sustainability is a critically complex goal for enterprise activity and development. Sustainability in the engineering area requires a comprehensive and continue approach because, a) engineering activities are ubiquitous in society, b) of the high importance of engineering applications in the development of the companies and of the world, and c) technological support becomes imminent in a dynamic economic environment and sustained in large part by technological advances. This paper aims to provide to the engineering environment a smart …

Sustainable developmentEngineeringBiological systems engineeringRequirements engineeringbusiness.industryGeneral MedicineHealth systems engineeringConstruction engineeringEngineering managementConceptual frameworkSustainabilitySystem of systems engineeringSustainability organizationsbusinessApplied Mechanics and Materials
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Use of linear discriminant analysis applied to vibrational spectroscopy data to characterize commercial varnishes employed for art purposes.

2007

An improvement of methodologies for characterising synthetic resins used in varnishes employed for art purposes has been suggested. Several kinds of standard of the most common polymeric resins (acrylic, vinyl, poly(vinyl alcohol), alkyd, cellulose nitrate, latex, polyester, polyurethane, epoxy, organosilicic, and ketonic) were analyzed by Fourier transform infrared (FTIR) spectroscopy. Synthetic resins characterization is based on the mathematical treatment of their whole spectrum, dividing it in 13 sections, avoiding the one-by-one interpretation of the absorption bands. The mathematical model takes as variables the maximal absorbance of each section, and each synthetic standard resin as …

Synthetic resinChemistryAlkydVarnishAnalytical chemistryEpoxyLinear discriminant analysisBiochemistryFourier transform spectroscopyAnalytical ChemistryChemometricsvisual_artPrincipal component analysisvisual_art.visual_art_mediumEnvironmental ChemistryBiological systemSpectroscopyAnalytica chimica acta
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Characterization of the bulk flow properties of industrial powders from shear tests

2020

Bulk flow properties from shear analysis of compacted powders can be evaluated following different approaches. Experimental values of shear stresses obtained by conventional shear cells are traditionally used to build yield loci, from which the most relevant flow properties could be found. Such flow properties play an important role in determining their performance under fluidization conditions. In this work, a useful app, named cYield, was developed by using the new Matlab&rsquo

TPMaterials scienceBest fittingBioengineeringflowability02 engineering and technologylcsh:Chemical technologypowder characterizationlcsh:Chemistry020401 chemical engineeringMatlab AppUltimate tensile strengthChemical Engineering (miscellaneous)lcsh:TP1-1185Fluidization0204 chemical engineeringMATLABcomputer.programming_languagepowder characterization; flowability; Matlab App; yield locus; tensile strengthT1Process Chemistry and Technology021001 nanoscience & nanotechnologyShear (geology)tensile strengthlcsh:QD1-9990210 nano-technologyBiological systemFlow propertiescomputeryield locus
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