Search results for " Monte Carlo simulation"

showing 10 items of 30 documents

Reducing waste and ecological impacts through a sustainable and efficient management of perishable food based on the Monte Carlo simulation

2019

Abstract In today’s competitive global market it is mandatory to improve warehousing operations integrating economic, environmental and social aspects. The recent advancement in monitoring technologies can greatly improve the performance of the food supply chain reducing product loss. In particular, in the perishable food supply chain, initially inventory operations are critical because they manage the material flows in very variable conditions. The deterioration level of the products as well as the market demand are the main factors that can influence warehouse strategy. This research aims to consider the application of sustainability principles in the context of warehouse storage, evaluat…

0106 biological sciencesTraceabilityComputer scienceSupply chainGeneral Decision SciencesContext (language use)010501 environmental sciences010603 evolutionary biology01 natural sciencesWarehouse managementSupply and demandSettore ING-IND/17 - Impianti Industriali MeccaniciMonte Carlo simulationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEcologyEcological impacts Food waste reduction Monte Carlo simulation Shelf life model Sustainability Warehouse managementEnvironmental economicsEcological impactWarehouseProduct (business)SustainabilitySustainabilityShelf life modelCarbon footprintEcological impacts; Food waste reduction; Monte Carlo simulation; Shelf life model; Sustainability; Warehouse managementFood waste reductionEcological Indicators
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Intermittent targeted therapies and stochastic evolution in patients affected by chronic myeloid leukemia

2016

Front line therapy for the treatment of patients affected by chronic myeloid leukemia (CML) is based on the administration of tyrosine kinase inhibitors, namely imatinib or, more recently, axitinib. Although imatinib is highly effective and represents an example of a successful molecular targeted therapy, the appearance of resistance is observed in a proportion of patients, especially those in advanced stages. In this work, we investigate the appearance of resistance in patients affected by CML, by modeling the evolutionary dynamics of cancerous cell populations in a simulated patient treated by an intermittent targeted therapy. We simulate, with the Monte Carlo method, the stochastic evolu…

0301 basic medicineOncologyDrugStatistics and Probabilitymedicine.medical_specialtymedicine.medical_treatmentmedia_common.quotation_subjectTargeted therapy03 medical and health sciencesClassical Monte Carlo simulations; computational biology; models for evolution (theory); mutational and evolutionary processes (theory); Statistical and Nonlinear Physics; Statistics and Probability; Statistics Probability and Uncertainty0302 clinical medicinecomputational biologyInternal medicinemedicineClassical Monte Carlo simulationmutational and evolutionary processes (theory)media_commonbusiness.industryMyeloid leukemiaStatistical and Nonlinear PhysicsImatinibSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Axitinib030104 developmental biology030220 oncology & carcinogenesisCancer cellToxicityStatistics Probability and Uncertaintybusinessmodels for evolution (theory)Tyrosine kinasemedicine.drugStatistical and Nonlinear Physic
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Noise influence on electron dynamics in semiconductors driven by a periodic electric field

2008

Studies about the constructive aspects of noise and fluctuations in different non-linear systems have shown that the addition of external noise to systems with an intrinsic noise may result in a less noisy response. Recently, the possibility to reduce the diffusion noise in semiconductor bulk materials by adding a random fluctuating contribution to the driving static electric field has been tested. The present work extends the previous theories by considering the noise-induced effects on the electron transport dynamics in low-doped n-type GaAs samples driven by a high-frequency periodic electric field (cyclostationary conditions). By means of Monte Carlo simulations, we calculate the change…

Classical Monte Carlo simulations fluctuations (theory) transport properties (theory)Condensed Matter - Materials ScienceMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesSettore FIS/03 - Fisica Della MateriaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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Assessing the impact of copy number variants on miRNA genes in autism by Monte Carlo simulation.

2014

Autism Spectrum Disorders (ASDs) are childhood neurodevelopmental disorders with complex genetic origins. Previous studies have investigated the role of de novo Copy Number Variants (CNVs) and microRNAs as important but distinct etiological factors in ASD. We developed a novel computational procedure to assess the potential pathogenic role of microRNA genes overlapping de novo CNVs in ASD patients. Here we show that for chromosomes # 1, 2 and 22 the actual number of miRNA loci affected by de novo CNVs in patients was found significantly higher than that estimated by Monte Carlo simulation of random CNV events. Out of 24 miRNA genes over-represented in CNVs from these three chromosomes only …

Clinical PathologyDNA Copy Number Variationsendocrine system diseasesChromosomes Human Pair 22ScienceGene regulatory networkGenomicsDevelopmental and Pediatric NeurologyBiologyPathology and Laboratory MedicinePediatricsGenomeMolecular GeneticsmiRNA Genes Monte Carlo Simulation AutismDiagnostic Medicinemental disordersGeneticsMedicine and Health SciencesmedicineHumansComputer SimulationGene Regulatory NetworksCopy-number variationAutistic DisorderGeneGeneticsMultidisciplinaryGenome HumanQRBiology and Life SciencesComputational BiologyGenomicsGenome Analysismedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)MicroRNAsNeurologyChromosomes Human Pair 1Genetic LociAutism spectrum disorderChromosomes Human Pair 2AutismMedicineStructural GenomicsHuman genomeMonte Carlo MethodResearch ArticlePLoS ONE
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Monte Carlo simulation of the energy released by neutrons on organic compounds for EPR dosimetry

2022

In this work we report the analyses of the energy released per unit mass in organic compounds used for EPR dosimetry exposed to neutron beams in order to predict the increase in dose achievable by addition of gadolinium (Gd) inside the pellets. In particular, Monte Carlo (MC) simulations were carried out for alanine, ammonium tartrate and phenolic compounds irradiated with neutron beams with different energy spectra at various depths inside a water phantom. The addition of gadolinium increases sensitivity of these dosimeters to neutrons thanks to the high gadolinium cross section for neutron capture and to the large number of secondary particles (mainly Auger and internal conversion electro…

EPR dosimetry organic compounds Neutrons Monte Carlo simulationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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EXPOSURE OF Gd2O3-ALANINE AND Gd2O3-AMMONIUM TARTRATE ESR DOSIMETERS TO THERMAL NEUTRONS: EXPERIMENTS AND MONTE CARLO SIMULATIONS

2008

ESR dosimetry alanine ammonium tartrate Monte Carlo simulationSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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Measurement of the cosmic ray energy spectrum using hybrid events of the Pierre Auger Observatory

2012

The energy spectrum of ultra-high energy cosmic rays above 10$^{18}$ eV is measured using the hybrid events collected by the Pierre Auger Observatory between November 2005 and September 2010. The large exposure of the Observatory allows the measurement of the main features of the energy spectrum with high statistics. Full Monte Carlo simulations of the extensive air showers (based on the CORSIKA code) and of the hybrid detector response are adopted here as an independent cross check of the standard analysis (Phys. Lett. B 685, 239 (2010)). The dependence on mass composition and other systematic uncertainties are discussed in detail and, in the full Monte Carlo approach, a region of confiden…

FLUORESCENCE DETECTORAstronomyAstrophysics::High Energy Astrophysical PhenomenaMonte Carlo methodenergy spectrumFOS: Physical sciencesGeneral Physics and AstronomyFluxCosmic rayEXTENSIVE AIR-SHOWERSSURFACE DETECTOR01 natural sciencesCosmic RayAugerPierre Auger Observatory ; Monte Carlo simulations ; ultra-high energy cosmic raysHigh Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment (hep-ex)Observatory0103 physical sciencesRECONSTRUCTIONFermilab010306 general physicsUHE Cosmic Rays Monte Carlo Energy SpectrumTRIGGERNuclear PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsPierre Auger ObservatoryPACS: 96.50.S 96.50.sb 96.50.sd 98.70.Sa010308 nuclear & particles physics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Pierre Auger Observatory; Monte Carlo simulations; ultra-high energy cosmic raysPhysicsDetectorAstrophysics::Instrumentation and Methods for AstrophysicsPierre Auger ObservatoryPROFILES[PHYS.PHYS.PHYS-SPACE-PH]Physics [physics]/Physics [physics]/Space Physics [physics.space-ph]Experimental High Energy PhysicsSIMULATIONComputingMethodologies_DOCUMENTANDTEXTPROCESSINGARRAYFísica nuclearAstrophysics - High Energy Astrophysical PhenomenaRAIOS CÓSMICOS
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Micropollutants throughout an integrated urban drainage model: Sensitivity and uncertainty analysis

2017

Abstract The paper presents the sensitivity and uncertainty analysis of an integrated urban drainage model which includes micropollutants. Specifically, a bespoke integrated model developed in previous studies has been modified in order to include the micropollutant assessment (namely, sulfamethoxazole – SMX). The model takes into account also the interactions between the three components of the system: sewer system (SS), wastewater treatment plant (WWTP) and receiving water body (RWB). The analysis has been applied to an experimental catchment nearby Palermo (Italy): the Nocella catchment. Overall, five scenarios, each characterized by different uncertainty combinations of sub-systems (i.e…

HydrologyMathematical modellingSettore ICAR/03 - Ingegneria Sanitaria-Ambientale0208 environmental biotechnologyContaminants of emerging concerns; Mathematical modelling; Monte Carlo simulations; Sensitivity analysis; Urban water quality; Water Science and TechnologyUrban water qualityEnvironmental engineering02 engineering and technologySorption coefficient010501 environmental sciences01 natural sciencesContaminants of emerging concern020801 environmental engineeringKey factorsWater bodySensitivity analysiEnvironmental scienceSewage treatmentSensitivity (control systems)DrainageMonte Carlo simulationUncertainty analysisUncertainty reduction theory0105 earth and related environmental sciencesWater Science and TechnologyJournal of Hydrology
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An experience of elicited inquiry elucidating the electron transport in semiconductor crystals

2016

In this study we report the results of an inquiry-driven learning path experienced by a sample of 10 electronic engineering students, engaged to investigate the electron transport in semiconductors. The undergraduates were first instructed by following a lecture-based class on condensed matter physics and then involved into an inquiry based path of simulative explorations. The students were invited by two instructors to explore the electron dynamics in a semiconductor bulk by means of Monte Carlo simulations. The students, working in group, had to design their own procedure of exploration, as expected in a traditional guided inquiry. But they experienced several difficulties on planning and…

Inquiry approachSettore FIS/08 - Didattica E Storia Della FisicaTransport propertiesInquiry approach; Physics of semiconductors; Monte Carlo simulations; Transport propertiesMonte Carlo simulationSettore FIS/03 - Fisica Della MateriaPhysics of semiconductor
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Uncertainty analysis of life cycle assessment of asphalt surfacings

2023

The Life Cycle Assessment (LCA) of asphalt pavements are associated with significant uncertainty resulting from variability in the quantity and impact of individual components, the quality of data for each component, and variability of asphalt durability. This study presents a framework to quantify and incorporate the uncertainty of LCA and asphalt durability data into LCA of asphalt surfacings. The suggested framework includes: estimating the uncertainty of asphalt production processes by the pedigree matrix method, conducting a deterministic LCA, applying Monte Carlo Simulation (MCS) to estimate the probability density functions (PDFs) of the considered impacts using the uncertainty data,…

Life cycle assessment asphalt uncertainty durability Monte Carlo simulationCivil and Structural Engineering
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