Search results for "Modelling"

showing 10 items of 1353 documents

Experimental models of orthodontic tooth movement and their effects on periodontal tissues remodelling.

2021

Made available in DSpace on 2022-04-29T08:31:31Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-10-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Objectives: The present study aimed to compare two different models of orthodontic tooth movement (OTM) in rats by evaluating tooth movement efficiency and periodontal tissues remodelling. Design: Fifteen animals were randomly distributed into 3 groups: control group (untreated); ligature appliance (LA) as experimental OTM using a closed coil spring fixed around maxillary first molar by steel ligature; occlusal appliance (OA) as experimental OTM using a closed coil spring attached on the occlusal surface of the maxillary f…

PeriodontiumPeriodontal tissueTooth Movement TechniquesPeriodontal Ligamentmedicine.medical_treatmentOsteoclastsBone remodelingBone remodellingOrthodontic tooth movementMaxillary first molarPeriodontal fiberMedicineAnimalsLigatureGeneral DentistryBone mineralOrthodonticsAlveolar bone lossbusiness.industryCell BiologyGeneral MedicineX-Ray MicrotomographyModels TheoreticalRatsOtorhinolaryngologyTooth movementMaxillabusinessArchives of oral biology
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Late frost damage risk for viticulture under future climate conditions: a case study for the Luxembourgish winegrowing region

2013

Background and Aims Late frosts are a significant risk to grape production in frost-prone viticultural regions. Increasing air temperature because of climate change is likely to advance grape budburst and last frost events in spring. So far, it is unclear whether one trend will be more pronounced than the other, and hence, whether the risk of late frost damage will increase or decrease. The aim of this work was to investigate the future frost risk in the Luxembourgish winegrowing region by assessing the effect of simulated future climate conditions on the timing of budburst and last frost date. Methods and Results Late frost risk was assessed by combining: (i) a phenological model for budbu…

PhenologyClimatologyImpact modellingAir temperatureFrostClimate changeEnvironmental scienceSignificant riskHorticultureViticultureFuture climateAustralian Journal of Grape and Wine Research
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Visión de los maestros en formación sobre los modelos científicos y sus funciones en las ciencias y en su enseñanza

2017

Este estudio examina la visión de 201 futuros maestros sobre los modelos científicos y sus funciones en ciencias y en su enseñanza. Se diseñó e implementó un cuestionario con cinco preguntas abiertas, de las cuales se analizan dos ¿Qué se entiende por modelo científico? y ¿Para qué consideras que son utilizados los modelos en ciencias? ¿Y en la enseñanza de las ciencias? Los resultados mostraron que, aunque un 24,5% reconocen que un modelo científico es una representación simplificada de un fenómeno, encontramos que un 22,8% lo consideran como “método” de trabajo de los científicos En cuanto a sus funciones, un 45,7% identifican los modelos como recursos para explicar, resumir o ejemplifica…

PhenomenonMathematics educationRepresentation (systemics)Sociology:PEDAGOGÍA [UNESCO]Scientific modellingScience educationUNESCO::PEDAGOGÍA
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A study of the material in the ATLAS inner detector using secondary hadronic interactions

2011

The ATLAS inner detector is used to reconstruct secondary vertices due to hadronic interactions of primary collision products, so probing the location and amount of material in the inner region of ATLAS. Data collected in 7 TeV pp collisions at the LHC, with a minimum bias trigger, are used for comparisons with simulated events. The reconstructed secondary vertices have spatial resolutions ranging from ~ 200μm to 1 mm. The overall material description in the simulation is validated to within an experimental uncertainty of about 7%. This will lead to a better understanding of the reconstruction of various objects such as tracks, leptons, jets, and missing transverse momentum.

PhotonPhysics::Instrumentation and Detectorsdetector modelling and simulations i (interaction of radiation with matter; interaction; large detector systems for particle and astroparticle physics; of photons with matter; interaction of hadrons with matter; etc); particle tracking detectors (solid-state detectors); si microstrip and pad detectors01 natural sciencesparticle tracking detectors[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]of photons with matter interaction of hadrons with matter etc)InstrumentationGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Detectors de radiacióMathematical PhysicsPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Large Hadron ColliderSettore FIS/01 - Fisica SperimentaleDetectorVERTEX DETECTORSSi microstrip and pad detectorsTransition radiation detectorinteraction of hadrons with matterExperimental uncertainty analysismedicine.anatomical_structureParticle tracking detectors (Solid-state detectors)Física nuclearParticle Physics - Experimentof photons with matterParticle physicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Particle tracking detectors (Solid-state detectors); Si microstrip and pad detectors; Large detector systems for particle and astroparticle physicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]Detector modelling and simulations I (interaction of radiation with matter interactionDetector modelling and simulations I (interaction of radiation with matterddc:500.2530Detector Modelling and SimulationsInteraction of photons with matterNuclear physicsAtlas (anatomy)0103 physical sciencesmedicineddc:610010306 general physicsetc)Astroparticle physicsParticle Tracking DetectorsScience & Technology010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsLarge Detector Systemsdetector modelling and simulations IFísicaCol·lisions (Física nuclear)Experimental High Energy PhysicsHigh Energy Physics::ExperimentSi Microstrip and Pad DetectorsLepton
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Study of the material of the ATLAS inner detector for Run 2 of the LHC

2017

The ATLAS inner detector comprises three different sub-detectors: the pixel detector, the silicon strip tracker, and the transition-radiation drift-tube tracker. The Insertable B-Layer, a new innermost pixel layer, was installed during the shutdown period in 2014, together with modifications to the layout of the cables and support structures of the existing pixel detector. The material in the inner detector is studied with several methods, using a low-luminosity root s = 13 TeV pp collision sample corresponding to around 2.0 nb(-1) collected in 2015 with the ATLAS experiment at the LHC. In this paper, the material within the innermost barrel region is studied using reconstructed hadronic in…

Photondrift tubePhysics::Instrumentation and Detectors13000 GeV-cmsparticle identification: efficiencyCiencias FísicasPerformance of High Energy Physics Detector01 natural sciencesHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]Subatomär fysikHigh Energy Physics - Experiment (hep-ex)Particle tracking detectorsSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]tracking detectorGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical Physicsparticle identification [charged particle]Detector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)PhysicsLarge Hadron Colliderefficiency [particle identification]track data analysisSettore FIS/01 - Fisica SperimentaleATLAS experimentDetectorpixel [detector]interaction of photons with matterDetectorsMonte Carlo [numerical calculations]ATLASSample (graphics)interaction of hadrons with mattermedicine.anatomical_structureCERN LHC CollLHCcolliding beams [p p]numerical calculations: Monte CarloParticle Physics - ExperimentCIENCIAS NATURALES Y EXACTASp p: scatteringphoton: transition530 PhysicsCiências Naturais::Ciências FísicasInstrumentation:Ciências Físicas [Ciências Naturais]transition [photon]Detector modelling and simulations I (interaction of radiation with matterFOS: Physical sciences610charged particle: particle identificationAccelerator Physics and InstrumentationInteraction of photons with matterOpticsAtlas (anatomy)[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]0103 physical sciencesmedicinedetector: pixelInteraction of hadrons with matterHigh Energy Physicsddc:610structure010306 general physicsCiencias Exactasetc)Science & TechnologyPixelhep-ex010308 nuclear & particles physicsbusiness.industryinteraction of radiation with matterFísicasiliconAcceleratorfysik och instrumenteringDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Particle tracking detectors; Performance of High Energy Physics Detectors; Instrumentation; Mathematical Physics//purl.org/becyt/ford/1.3 [https]tracksDetector modelling and simulationsParticle tracking detectorAstronomíarapidityExperimental High Energy PhysicsPerformance of High Energy Physics DetectorsHigh Energy Physics::Experimenttransition radiationbusinessDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)p p: colliding beamsexperimental results
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Photovoltaic module characteristics from CIGS solar cell modelling

2013

We describe our approach to the task of modelling, both at single cell structure and complete module levels, during the solar cell technology development process. This can give very helpful indications, in terms of global photovoltaic module characteristics, for the assessment of intermediate research results and planning of further experiments. We make reference specifically to the fabrication of thin film CIGS solar cells by means of single-step electrodeposition, a technique which appears fairly easy and low-cost but, at the same time, can lead to quite different structural and electrical properties.

Photonic structuresMaterials sciencebusiness.industryCIGS solar cellPhotovoltaic systemSettore ING-INF/02 - Campi ElettromagneticiHybrid solar cellSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciQuantum dot solar cellSettore ING-INF/01 - ElettronicaCopper indium gallium selenide solar cellsEngineering physicsModellingPolymer solar celllaw.inventionPhotovoltaic thermal hybrid solar collectorSolar energyPhotovoltaic modulelawSolar cellOptoelectronicsSolar simulatorThin-film solar cellbusinessSimulation2013 International Conference on Renewable Energy Research and Applications (ICRERA)
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From local measures to regional impacts: Modelling changes in nutrient loads to the Baltic Sea

2021

Study Region: Our study region is the Baltic Sea Drainage Basin (BSDB), which covers an area of 1.8 Mio km2 distributed over 14 countries in northern Europe. Study Focus: We use a large-scale hydrological and nutrient transport model (E-HYPE) to model basin-wide impacts of measure scenarios on the Baltic Sea, where eutrophication is a critical issue for the marine ecosystem. We constructed measure scenarios based on stakeholder acceptance, established in workshops in different regions around the Baltic. These measures include local stream reach to catchment scale measures aiming to reduce nutrient transport into the stream network (buffer strips, stormwater ponds) and measures aiming to red…

Physical geographyBaltic SeaBaltic Sea; E-HYPE; Hydrological modelling; Nutrient load reduction; Scenario impacts; Water qualityStormwaterDrainage basinBuffer stripOceanografi hydrologi och vattenresurserStructural basinOceanography Hydrology and Water ResourcesNutrientHydrological modellingEarth and Planetary Sciences (miscellaneous)Marine ecosystemEcosystemWater Science and TechnologyScenario impactsQE1-996.5geographygeography.geographical_feature_categoryE-HYPEGeologyGB3-5030Nutrient load reductionWater qualityEnvironmental scienceWater resource managementEutrophicationJournal of Hydrology: Regional Studies
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Stochastic seismic analysis of hydrodynamic pressure in dam reservoir systems

2002

Hydrodynamic seismic-induced pressure requires careful consideration in the aseismic design of dams. Effects induced by earthquake excitation may cause many-fold increments of hydrostatic pressure. In this study earthquake excitation has been modelled by means of random process theory obtaining the response statistics of a dam-reservoir dynamical system. The analysis has been conducted assuming a rigid retaining wall of the reservoir and dissipative fluid. Copyright © 2002 John Wiley & Sons, Ltd.

Physical modelStochastic processStochastic modellingHydrostatic pressureHydrodynamic pressureGeotechnical Engineering and Engineering GeologyRetaining wallDynamical systemSeismic analysisStochastic analysiDam-reservoir systemEarth and Planetary Sciences (miscellaneous)Dissipative systemGeotechnical engineeringGeologyEarthquake Engineering & Structural Dynamics
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A layer correlation technique for pion energy calibration at the 2004 ATLAS Combined Beam Test

2010

A new method for calibrating the hadron response of a segmented calorimeter is developed and successfully applied to beam test data. It is based on a principal component analysis of energy deposits in the calorimeter layers, exploiting longitudinal shower development information to improve the measured energy resolution. Corrections for invisible hadronic energy and energy lost in dead material in front of and between the calorimeters of the ATLAS experiment were calculated with simulated Geant4 Monte Carlo events and used to reconstruct the energy of pions impinging on the calorimeters during the 2004 Barrel Combined Beam Test at the CERN H8 area. For pion beams with energies between 20GeV…

Physics - Instrumentation and DetectorsCiências Naturais::Ciências FísicasPhysics::Instrumentation and Detectors:Ciências Físicas [Ciências Naturais]Monte Carlo methodFOS: Physical sciencesddc:500.201 natural sciences7. Clean energyPartícules (Física nuclear)Settore FIS/04 - Fisica Nucleare e SubnucleareHigh Energy Physics - ExperimentNuclear physicsCalorimetersHigh Energy Physics - Experiment (hep-ex)PionAtlas (anatomy)calorimeter methods ; pattern recognition ; cluster finding ; calibration and fitting methods ; calorimeters ; detector modelling and simulations0103 physical sciencesCalibrationmedicine[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Calorimeter methods010306 general physicsNuclear ExperimentInstrumentationMathematical PhysicsPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Science & TechnologyLarge Hadron Collider010308 nuclear & particles physicsPattern recognition cluster finding calibration and fitting methodsSettore FIS/01 - Fisica SperimentaleATLAS experimentInstrumentation and Detectors (physics.ins-det)Calorimetermedicine.anatomical_structureExperimental High Energy PhysicsComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearHigh Energy Physics::ExperimentBeam (structure)Journal of Instrumentation
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There's more to volatility than volume

2006

It is widely believed that fluctuations in transaction volume, as reflected in the number of transactions and to a lesser extent their size, are the main cause of clustered volatility. Under this view bursts of rapid or slow price diffusion reflect bursts of frequent or less frequent trading, which cause both clustered volatility and heavy tails in price returns. We investigate this hypothesis using tick by tick data from the New York and London Stock Exchanges and show that only a small fraction of volatility fluctuations are explained in this manner. Clustered volatility is still very strong even if price changes are recorded on intervals in which the total transaction volume or number of…

Physics - Physics and SocietyEconomicsvolatilityFOS: Physical sciencessubordinated processesPhysics and Society (physics.soc-ph)FOS: Economics and businessStock exchangeddc:330EconometricsEconomicsVolatility Modelling; Transaction Frequency; Trading Volume; Market StructurevolumeStatistical Finance (q-fin.ST)Financial marketVolume (computing)WirtschaftQuantitative Finance - Statistical FinancePolitical EconomyVolkswirtschaftslehrefinancial marketVolatility (finance)Constant (mathematics)General Economics Econometrics and FinanceDatabase transactionFinance
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