Search results for "Mathematical model"

showing 10 items of 346 documents

A webGIS-based system for real time shelf life prediction

2016

Technologies to acquire and monitor changes in the product shelf life were described.Four different SL predictive models were considered.A simulated transport using a prototype of Smart Logistic Unit was analysed.Real time shelf life prediction system was implemented in a webGIS platform. Shelf-life (SL) prediction and Least Shelf-life First Out (LSFO) stock strategy are important factors in perishable food supply chain in order to reduce quality and economic losses.In particular, distribution represents one of the main critical phases in logistic chain management and only the introduction of monitoring procedure can allow a reduction in food losses. Literature shows several mathematical mo…

0301 basic medicineTruckEngineeringWeb GISMathematical modelOperations researchbusiness.industrySupply chain030106 microbiologyReal-time computingForestry04 agricultural and veterinary sciencesHorticultureCommunications systemShelf life040401 food scienceAutomationComputer Science Applications03 medical and health sciences0404 agricultural biotechnologyAssisted GPSSettore ING-IND/17 - Impianti Industriali MeccaniciGlobal Positioning SystembusinessAgronomy and Crop Science
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A systems-wide understanding of photosynthetic acclimation in algae and higher plants

2017

The ability of phototrophs to colonise different environments relies on robust protection against oxidative stress, a critical requirement for the successful evolutionary transition from water to land. Photosynthetic organisms have developed numerous strategies to adapt their photosynthetic apparatus to changing light conditions in order to optimise their photosynthetic yield, which is crucial for life on Earth to exist. Photosynthetic acclimation is an excellent example of the complexity of biological systems, where highly diverse processes, ranging from electron excitation over protein protonation to enzymatic processes coupling ion gradients with biosynthetic activity, interact on drasti…

0301 basic medicine[SDV.BIO]Life Sciences [q-bio]/BiotechnologyPhysiologyAcclimatizationContext (language use)PhD traininginterdisciplinary trainingPlant Science: Biochemistry biophysics & molecular biology [F05] [Life sciences]BiologyacclimationPhotosynthesisAcclimatizationModels Biologicalmodelling03 medical and health sciencesAlgaeChlorophytaapplication industrielle[SDV.BV]Life Sciences [q-bio]/Vegetal Biologymathematical modellingPhotosynthesis: Biochimie biophysique & biologie moléculaire [F05] [Sciences du vivant]biodiversitymodélisationmicro-alguePhototrophphotosynthetic systemEcologyNon-photochemical quenchingSystems Biologyacclimatation photosynthétiquephotosynthetic optimisationPlanktonPlantsanalyse rétrospectivebiology.organism_classificationindustrial applicationEuropean Training Network030104 developmental biologyAcclimation; European Training Network; PhD training; biodiversity; interdisciplinary training; mathematical modelling; microalgal cultivation; non-photochemical quenching; photosynthetic optimisationPhotosynthetic acclimationadaptation à la lumièremicroalgal cultivationappareil photosynthétiqueBiochemical engineeringnon-photochemical quenching
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Are There Any Parameters Missing in the Mathematical Models Applied in the Process of Spreading COVID-19?

2021

Simple Summary Nowadays, enhancing development of mathematical models is very important to help in the prediction of coronavirus disease 2019 (COVID1-19). However, the vast majority of published model-based predictions do not cover people who left the epidemic COVID-19 positive (alive) and they must be included in studies to guarantee a more accurate model for application in public health. The epidemic development phenomenon can be obtained with a modelling framework. Abstract On 11 March 2020, coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Organization (WHO). As of 12.44 GMT on 15 January 2021, it has produced 93,640,296 cases and 2,004,984 deaths. The use …

0301 basic medicinemodelling studyProcess (engineering)media_common.quotation_subjectControl (management)Social WelfareBiologia Models matemàticsBiologyArticleGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicinePhenomenonPandemicUK030212 general & internal medicineDuration (project management)Epidemiologialcsh:QH301-705.5media_commonActuarial scienceGeneral Immunology and MicrobiologyMathematical modelCOVID-19Virus030104 developmental biologylcsh:Biology (General)ItalySpainGeneral Agricultural and Biological SciencesSeriousnessBiology
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Irregular packing problems: a review of mathematical models

2020

Abstract Irregular packing problems (also known as nesting problems) belong to the more general class of cutting and packing problems and consist of allocating a set of irregular and regular pieces to larger rectangular or irregular containers, while minimizing the waste of material or space. These problems combine the combinatorial hardness of cutting and packing problems with the computational difficulty of enforcing the geometric non-overlap and containment constraints. Unsurprisingly, nesting problems have been addressed, both in the scientific literature and in real-world applications, by means of heuristic and metaheuristic techniques. However, more recently a variety of mathematical …

050210 logistics & transportationMathematical optimization021103 operations researchInformation Systems and ManagementGeneral Computer ScienceMathematical modelHeuristicComputer science05 social sciences0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringField (computer science)Set (abstract data type)Packing problemsModeling and Simulation0502 economics and businessNesting (computing)PLANEJAMENTO DA PRODUÇÃOMetaheuristic
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A mathematical model of exposure of nontarget Lepidoptera to Bt-maize pollen expressing Cry1Ab within Europe

2010

Genetically modified (GM) maize MON810 expresses a Cry1Ab insecticidal protein, derived from Bacillus thuringiensis ( Bt ), toxic to lepidopteran target pests such as Ostrinia nubilalis . An environmental risk to non-target Lepidoptera from this GM crop is exposure to harmful amounts of Bt -containing pollen deposited on host plants in or near MON810 fields. An 11-parameter mathematical model analysed exposure of larvae of three non-target species: the butterflies Inachis io (L.), Vanessa atalanta (L.) and moth Plutella xylostella (L.), in 11 representative maize cultivation regions in four European countries. A mortality–dose relationship was integrated with a dose–distance relationship t…

1001genetically modified maize Cry1Ab non-target Lepidoptera mathematical model exposure risk assessment60Bacillus thuringiensismedicine.disease_causeZea maysModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyOstriniaExposureCropLepidoptera genitaliaHemolysin ProteinsMathematical modelBacterial ProteinsResearch articlesPollenBacillus thuringiensismedicineAnimalsPest Control BiologicalGeneral Environmental ScienceRisk assessmentGenetically modified maize31General Immunology and MicrobiologybiologyBacillus thuringiensis Toxinsbusiness.industryfungiPest controlPlutellafood and beveragesGeneral MedicineNon-target lepidopterabiology.organism_classificationPlants Genetically ModifiedEndotoxinsLepidopteraAgronomyGenetically modified maizePollenCry1abGeneral Agricultural and Biological SciencesbusinessButterflies
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STABILITY OF A STOCHASTICALLY PERTURBED MODEL OF INTRACELLULAR SINGLE-STRANDED RNA VIRUS REPLICATION

2019

Compared to the replication of double-stranded RNA and DNA viruses, the replication of single-stranded viruses requires the production of a number of intermediate strands that serve as templates for the synthesis of genomic-sense strands. Two theoretical extreme mechanisms for replication for such single-stranded viruses have been proposed; one extreme being represented by the so-called linear stamping machine and the opposite extreme by the exponential growth. Of course, real systems are more complex and examples have been described in which a combination of such extreme mechanisms can also occur: a fraction of the produced progeny resulting from a stamping-machine type of replication that…

92D30 (primary) 34D20 60H10 (secondary)0209 industrial biotechnologyVirus dynamicsDynamical Systems (math.DS)02 engineering and technology03 medical and health scienceschemistry.chemical_compoundMathematical model020901 industrial engineering & automationReplication (statistics)Viral replicationFOS: MathematicsMathematics - Dynamical SystemsViral evolution030304 developmental biologySingle-Stranded RNA51ssRNA virusLyapunov function0303 health sciencesViral mutationsLyapunov methodEcologyApplied MathematicsRNAGeneral MedicineAgricultural and Biological Sciences (miscellaneous)Cell biologyStochastic modelViral replicationchemistryViral evolutionStabilityIntracellularDNAJournal of Biological Systems
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Modelling temperature-dependent dynamics of single and mixed infections in a plant virus

2022

Multiple viral infection is an important issue in health and agriculture with strong impacts on society and the economy. Several investigations have dealt with the population dynamics of viruses with different dynamic properties, focusing on strain competition during multiple infections and the effects on viruses’ hosts. Recent interest has been on how multiple infections respond to abiotic factors such as temperature (T). This is especially important in the case of plant pathogens, whose dynamics could be affected significantly by global warming. However, few mathematical models incorporate the effect of T on parasite fitness, especially in mixed infections. Here, we investigate simple mat…

Abiotic componenteducation.field_of_studybiologyMathematical modelCo-infection dynamicsApplied Mathematicsmedia_common.quotation_subjectPopulationTranscritical bifurcationsRNA virusAbiotic stressbiology.organism_classificationCompetition (biology)BifurcationsCompetition modelTranscritical bifurcationThermal reaction normsEvolutionary biologyNonlinear dynamicsModeling and SimulationPlant virusDynamical systemseducationmedia_commonApplied Mathematical Modelling
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Application of the General Model "Biological Nutrient Removal Model No.1" to upgrade two full-scale WWTPs

2012

In this paper, two practical case studies for upgrading two wastewater treatment plants (WWTPs) using the general model BNRM1 (Biological Nutrient Removal Model No. 1) are presented. In the first case study, the Tarragona WWTP was upgraded by reducing the phosphorus load to the anaerobic digester in order to minimize the precipitation problems. Phosphorus load reduction was accomplished by mixing the primary sludge and the secondary sludge and by elutriating the mixed sludge. In the second case study, the Alcantarilla WWTP, the nutrient removal was enhanced by maintaining a relatively low dissolved oxygen concentration in Stage A to maintain the acidogenic bacteria activity. The VFA produce…

AcidogenesisBiological nutrient removalWATER TREATMENT PLANTSAerobic bacteriachemistry.chemical_elementActivated sludge modelPhosphatesWater PurificationWASTE-WATERBNRM1Environmental ChemistryAnaerobiosisOrganic ChemicalsWaste Management and DisposalTECNOLOGIA DEL MEDIO AMBIENTEWater Science and TechnologyCALIBRATIONSewagePhosphorusEnvironmental engineeringGeneral MedicineModels TheoreticalASM2DAerobiosisACTIVATED-SLUDGE MODELActivated sludge modelsEnhanced biological phosphorus removalWastewaterchemistrySIMULATIONPlant-wide mathematical modellingEnvironmental scienceSewage treatmentWater treatmentSanitary EngineeringWWTP upgrading
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Dynamic stability of plane elastic frames

1982

Abstract The stability of plane elastic frames subjected to a vertical foundation motion of the stationary, ergodic type is investigated. The equations of motion are obtained in modal co-ordinates, with account taken of many modes of vibration. The problem is subsequently reduced to the study of only the first mode of vibration. By considering a particular case, the stability domains are sketched as functions of the variation of the rigidities of the beam-column connecting joints and as functions of the number of stories.

Acoustics and UltrasonicsPlane (geometry)Mechanical EngineeringSTRUCTURAL ANALYSISMotion (geometry)Equations of motionSTRUCTURAL ANALYSIS; MATHEMATICAL MODELS; STRUCTURAL FRAMESSTRUCTURAL FRAMESCondensed Matter PhysicsStability (probability)VibrationClassical mechanicsModalMechanics of MaterialsNormal modeErgodic theoryMATHEMATICAL MODELSMathematicsJournal of Sound and Vibration
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Uncertainty quantification in simulations of epidemics using polynomial chaos.

2012

Mathematical models based on ordinary differential equations are a useful tool to study the processes involved in epidemiology. Many models consider that the parameters are deterministic variables. But in practice, the transmission parameters present large variability and it is not possible to determine them exactly, and it is necessary to introduce randomness. In this paper, we present an application of the polynomial chaos approach to epidemiological mathematical models based on ordinary differential equations with random coefficients. Taking into account the variability of the transmission parameters of the model, this approach allows us to obtain an auxiliary system of differential equa…

AdultMathematical optimizationArticle SubjectDifferential equationlcsh:Computer applications to medicine. Medical informaticsGeneral Biochemistry Genetics and Molecular BiologyComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONPrevalenceApplied mathematicsHumansObesityUncertainty quantificationEpidemicsRandomnessMathematicsAgedStochastic ProcessesPolynomial chaosModels StatisticalGeneral Immunology and MicrobiologyMathematical modelApplied MathematicsUncertaintyGeneral MedicineMiddle AgedModels TheoreticalNonlinear systemNonlinear DynamicsModeling and SimulationOrdinary differential equationlcsh:R858-859.7Epidemic modelAlgorithmsResearch ArticleComputational and mathematical methods in medicine
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