Search results for " modeling"

showing 10 items of 2411 documents

Process understanding of a wastewater batch reactor with block-wise PLS

2007

In this work a systematic methodology ‘block-wise PLS’ has been applied to thoroughly analyse data from a sequencing batch reactor (SBR) operated for biological phosphorus removal from wastewater. The aim of this study was to diagnose process variables (collected by the inexpensive and low-maintenance sensors installed in the SBR) likely related to the main key indicator of process performance: the phosphorus removal efficiency (PRE), determined off-line in the quality control laboratory. In this way, it is intended to aid the process operators in the detection of abnormal values of these critical variables which would indicate undesirable process performance, so that, they could act on the…

Statistics and Probabilitybusiness.industryComputer scienceProcess (engineering)Ecological Modelingmedia_common.quotation_subjectBatch reactorSequencing batch reactorEnhanced biological phosphorus removalWastewaterQuality (business)Process engineeringbusinessBlock (data storage)media_commonEnvironmetrics
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Deducing self-interaction in eye movement data using sequential spatial point processes

2016

Eye movement data are outputs of an analyser tracking the gaze when a person is inspecting a scene. These kind of data are of increasing importance in scientific research as well as in applications, e.g. in marketing and man-machine interface planning. Thus the new areas of application call for advanced analysis tools. Our research objective is to suggest statistical modelling of eye movement sequences using sequential spatial point processes, which decomposes the variation in data into structural components having interpretation. We consider three elements of an eye movement sequence: heterogeneity of the target space, contextuality between subsequent movements, and time-dependent behaviou…

Statistics and ProbabilitymallintaminenFOS: Computer and information sciencesrecurrenceComputer sciencestochastic geometrylikelihoodcoverageVariation (game tree)Management Monitoring Policy and Lawheterogeneous media01 natural sciences050105 experimental psychologyPoint processMethodology (stat.ME)010104 statistics & probabilitysilmänliikkeetStatistical inference0501 psychology and cognitive sciences0101 mathematicsComputers in Earth SciencesStatistics - Methodologytietojärjestelmätstokastiset prosessitta112self-interacting random walkbusiness.industry05 social sciencesEye movementPattern recognitionStatistical modelRandom walkkatseenseurantakatseArtificial intelligenceGeometric modelingbusinessStochastic geometry
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Consistent device simulation model describing perovskite solar cells in steady-state, transient, and frequency domain

2019

​This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Applied Materials & Interfaces, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://pubs.acs.org/doi/10.1021/acsami.9b04991

Steady state (electronics)Materials scienceIMPSImpedance spectroscopy610 Medicine & health02 engineering and technology010402 general chemistrycomputer.software_genre01 natural sciencesChemical societyGeneral Materials ScienceTransient (computer programming)Device simulation10266 Clinic for Reconstructive SurgeryMaterials621.3: Elektrotechnik und ElektronikCèl·lules fotoelèctriquesTrapsPerovskite (structure)Drift-diffusion modelingProgramming languagePerovskite solar cellsHysteresis021001 nanoscience & nanotechnology2500 General Materials Science0104 chemical sciencesMobile ionsFrequency domainTransient photo-current0210 nano-technologycomputer
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N-Benzyl Residues as the P1′ Substituents in Phosphorus-Containing Extended Transition State Analog Inhibitors of Metalloaminopeptidases

2020

Peptidyl enzyme inhibitors containing an internal aminomethylphosphinic bond system (P(O)(OH)-CH2-NH) can be termed extended transition state analogs by similarity to the corresponding phosphonamidates (P(O)(OH)-NH). Phosphonamidate pseudopeptides are broadly recognized as competitive mechanism-based inhibitors of metalloenzymes, mainly hydrolases. Their practical use is, however, limited by hydrolytic instability, which is particularly restricting for dipeptide analogs. Extension of phosphonamidates by addition of the methylene group produces a P-C-N system fully resistant in water conditions. In the current work, we present a versatile synthetic approach to such modified dipeptides, based…

Stereochemistryenzyme inhibitorsPharmaceutical Scienceorganophosphorus compoundsPhosphinateArticleAnalytical Chemistrylcsh:QD241-44103 medical and health scienceschemistry.chemical_compoundHydrolysis0302 clinical medicinelcsh:Organic chemistryTransition state analogpeptide analogsDrug DiscoveryCarboxylatePhysical and Theoretical ChemistryMethylene030304 developmental biologychemistry.chemical_classification0303 health sciencesDipeptideOrganic Chemistryligand-enzyme interactionsmolecular modeling and dockingEnzymechemistryChemistry (miscellaneous)030220 oncology & carcinogenesisMolecular MedicineLeucineMolecules
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Modelling Bacterial Dynamics in Food Products: Role of Environmental Noise and Interspecific Competition

2013

In this paper we review some results obtained within the context of the predictive microbiology, which is a specific field of the population dynamics. In particular we discuss three models, which exploit tools of statistical mechanics, for bacterial dynamics in food of animal origin. In the first model, the random fluctuating behaviour, experimentally measured, of the temperature is considered. In the second model stochastic differential equations are introduced to take into account the influence of physical and chemical variables, such as temperature, pH and activity water, subject to deterministic and random variations. The third model, which is an extended version of the second one, negl…

Stochastic Modelingeducation.field_of_studyPopulation DynamicPopulationStatistical MechanicNoise in Biological SystemsContext (language use)Statistical mechanicsInterspecific competitionSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Field (geography)Stochastic differential equationNoiseNoise-Induced EffectBiological systemEnvironmental noiseeducationMathematicsJournal of Modern Physics
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Spatio-temporal behaviour of the deep chlorophyll maximum in Mediterranean Sea: Development of a stochastic model for picophytoplankton dynamics

2013

In this paper, by using a stochastic reaction-diffusion-taxis model, we analyze the picophytoplankton dynamics in the basin of the Mediterranean Sea, characterized by poorly mixed waters. The model includes intraspecific competition of picophytoplankton for light and nutrients. The multiplicative noise sources present in the model account for random fluctuations of environmental variables. Phytoplankton distributions obtained from the model show a good agreement with experimental data sampled in two different sites of the Sicily Channel. The results could be extended to analyze data collected in different sites of the Mediterranean Sea and to devise predictive models for phytoplankton dynam…

Stochastic modellingFOS: Physical sciencesStructural basinBiologyRandom processe01 natural sciencesIntraspecific competitionMediterranean sea0103 physical sciencesPhytoplanktonMarine ecosystemSpatial ecologyMarine ecosystem14. Life underwaterQuantitative Biology - Populations and Evolution010306 general physicsPhytoplankton dynamic010301 acousticsEcology Evolution Behavior and SystematicsDeep chlorophyll maximumEcologyEcological ModelingPopulations and Evolution (q-bio.PE)Spatial ecology; Marine ecosystems; Phytoplankton dynamics; Deep chlorophyll maximum; Random processes; Stochastic differential equationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Oceanography13. Climate actionPhysics - Data Analysis Statistics and ProbabilityFOS: Biological sciencesSpatial ecologyStochastic differential equationsDeep chlorophyll maximumData Analysis Statistics and Probability (physics.data-an)
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Modeling of Sensory Characteristics Based on the Growth of Food Spoilage Bacteria

2016

During last years theoretical works shed new light and proposed new hypothesis on the mechanisms which regulate the time behaviour of biological populations in different natural systems. Despite of this, the role of environmental variables in ecological systems is still an open question. Filling this gap of knowledge is a crucial task for a deeper comprehension of the dynamics of biological populations in real ecosystems. In this work we study how the dynamics of food spoilage bacteria influences the sensory characteristics of fresh fish specimens. This topic is crucial for a better understanding of the role played by the bacterial growth on the organoleptic properties, and for the quality …

Stochastic ordinary differential equationmedia_common.quotation_subjectFood spoilageOrganolepticFOS: Physical sciencesSensory systemContext (language use)BiologyPopulation dynamic01 natural sciencesSensory analysisPopulation dynamics; Predictive microbiology; Stochastic ordinary differential equations; Modeling and Simulation010305 fluids & plasmas0103 physical sciencesStatisticsQuality (business)010306 general physicsQuantitative Biology - Populations and EvolutionCondensed Matter - Statistical Mechanicsmedia_commonPredictive microbiologyStatistical Mechanics (cond-mat.stat-mech)EcologyApplied MathematicsPopulations and Evolution (q-bio.PE)Experimental dataSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Modeling and SimulationFOS: Biological sciencesPredictive microbiology
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Noise Induced Phenomena in the Dynamics of Two Competing Species

2015

Noise through its interaction with the nonlinearity of the living systems can give rise to counter-intuitive phenomena. In this paper we shortly review noise induced effects in different ecosystems, in which two populations compete for the same resources. We also present new results on spatial patterns of two populations, while modeling real distributions of anchovies and sardines. The transient dynamics of these ecosystems are analyzed through generalized Lotka-Volterra equations in the presence of multiplicative noise, which models the interaction between the species and the environment. We find noise induced phenomena such as quasi-deterministic oscillations, stochastic resonance, noise …

Stochastic resonanceMultiplicative noiseFOS: Physical sciencesPopulation dynamic01 natural sciencesMultiplicative noiseNoise induced phenomena010305 fluids & plasmasLangevin equation0103 physical sciencesQuantitative Biology::Populations and EvolutionStatistical physicsQuantitative Biology - Populations and Evolution010306 general physicsCondensed Matter - Statistical MechanicsPhysicsExtinctionPredictive microbiologyStatistical Mechanics (cond-mat.stat-mech)Applied MathematicsPopulations and Evolution (q-bio.PE)Langevin equation; Multiplicative noise; Noise induced phenomena; Population dynamics; Predictive microbiology; Stochastic resonance; Modeling and SimulationSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Langevin equationNoiseModeling and SimulationFOS: Biological sciencesSpatial ecologyProbability distributionStochastic resonanceCoupled map lattice
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Physics of the nuclear pore complex: Theory, modeling and experiment

2021

Abstract The hallmark of eukaryotic cells is the nucleus that contains the genome, enclosed by a physical barrier known as the nuclear envelope (NE). On the one hand, this compartmentalization endows the eukaryotic cells with high regulatory complexity and flexibility. On the other hand, it poses a tremendous logistic and energetic problem of transporting millions of molecules per second across the nuclear envelope, to facilitate their biological function in all compartments of the cell. Therefore, eukaryotes have evolved a molecular “nanomachine” known as the Nuclear Pore Complex (NPC). Embedded in the nuclear envelope, NPCs control and regulate all the bi-directional transport between the…

Stochastic transportMolecular modelingGeneral Physics and AstronomyComputational biologyMolecular dynamics01 natural sciencesGenomeArticleDiffusionNanochannels0103 physical sciencesotorhinolaryngologic diseasesmedicineNuclear pore010306 general physicsPhysicsComputational modelIntrinsically disordered proteins010308 nuclear & particles physicsCompartmentalization (psychology)Nuclear pore complexCell nucleusCrowdingmedicine.anatomical_structureCytoplasmMultivalencyBiomimeticNucleusFunction (biology)Physics Reports
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A paradigm of extreme rainfall pluvial floods in complex urban areas: the flood event of 15 July 2020 in Palermo (Italy)

2021

Abstract. In the last few years, some regions of the Mediterranean area have witnessed a progressive increase in extreme events, such as urban and flash floods, as a response to the increasingly frequent and severe extreme rainfall events, which are often exacerbated by the ever-growing urbanization. In such a context, the urban drainage systems may not be sufficient to convey the rainwater, thus increasing the risk deriving from the occurrence of such events. This study focuses on a particularly intense urban flood that occurred in Palermo (Italy) on 15 July 2020; it represents a typical pluvial flood due to extreme rainfall on a complex urban area that many cities have experienced in rece…

StormwaterContext (language use)Urban areaEnvironmental technology. Sanitary engineeringUrban floodGbest management practicesHuman settlementUrbanizationGeography. Anthropology. RecreationFlash floodGE1-350TD1-1066natural based solutionsQE1-996.5geographygeography.geographical_feature_categoryFlood mythGeologycomplex urban areaEnvironmental sciencesextreme rainfallfloodabilityPluvialGeneral Earth and Planetary Sciencesfloods modelingWater resource managementNatural Hazards and Earth System Sciences
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