Search results for "Modelling"

showing 10 items of 1353 documents

Metabolic Profiling of Glucose-Fed Metabolically Active Resting Zymomonas mobilis Strains

2020

Zymomonas mobilis is the most efficient bacterial ethanol producer and its physiology is potentially applicable to industrial-scale bioethanol production. However, compared to other industrially important microorganisms, the Z. mobilis metabolome and adaptation to various nutritional and genetic perturbations have been poorly characterized. For rational metabolic engineering, it is essential to understand how central metabolism and intracellular redox balance are maintained in Z. mobilis under various conditions. In this study, we applied quantitative mass spectrometry-based metabolomics to explore how glucose-fed non-growing Z. mobilis Zm6 cells metabolically adapt to change of oxygen avai…

aerobic respiration0106 biological sciences0301 basic medicineEntner–Doudoroff pathwayCellular respirationEndocrinology Diabetes and MetabolismMetabolitelcsh:QR1-50201 natural sciencesBiochemistryZymomonas mobilislcsh:MicrobiologyArticle<i>zymomonas mobilis</i>Metabolic engineering03 medical and health scienceschemistry.chemical_compoundMetabolomics010608 biotechnologyMetabolomeGlycolysisliquid chromatography-tandem mass spectrometryMolecular BiologybiologyChemistryZymomonas mobilisMetabolismbiology.organism_classificationmetabolomics030104 developmental biologyBiochemistrykinetic modellingMetabolites
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Longitudinal physical activity trajectories from childhood to adulthood and their determinants : The Young Finns Study

2018

Determining lifelong physical activity (PA) trajectories and their determinants is essential to promote a physically active lifestyle throughout the life-course. We aimed to identify PA trajectories from childhood to midlife and their determinants in a longitudinal population-based cohort. This study is a part of the Cardiovascular Risk in Young Finns Study. From 1980, a population-based cohort (N = 3596; 1764 boys/1832 girls, age 3-18 years) has been followed up for 31 years. PA indices were formed based on self-reported data (between age 9-49 years) on frequency, duration, and intensity of leisure (during childhood) or high-intensity (at later age) PA and on sports club participation/comp…

aikuisuuslongitudinallatent class growth modellingliikeradatphysical activitylapsuuskäyttäytyminenlapsetfyysinen aktiivisuusaikuisetpopulation-based
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Introduction to MIP synthesis, characteristics and analytical application

2019

One of the trends in analytical chemistry is associated with designing and developing new types of sample preparation techniques, which might significantly increase the efficiency and selectivity of the analytes isolation or/and preconcentration process. One of the most widely employed solutions is selective sorption materials, defined as molecularly imprinted polymers (MIPs), as well as the sorbents with the molecular fingerprint. Due to their simple preparation protocol, mechanical, thermal and chemical stability and selectivity, MIPs have found application as a stationary phase in separation techniques such as liquid chromatography or capillary electrophoresis, in electrochemical sensors…

analytical applicationmicroextraction techniquescomputer molecular modellingIn-situ analysismolecularly imprinted polymer
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Understanding physiological and physicochemical influences on in-mouth aroma release from yogurts using mechanistic modelling

2008

International audience; On the basis of a first mechanistic model predicting aroma release in the oropharynx during food consumption, the aim of the present work was to improve its accuracy and to use it to identify the main mechanisms responsible for in-mouth aroma release. Comparison between predicted release kinetics and the ones measured by APCI-MS in the nasal cavity of subjects eating flavoured yogurt highlighted the reasonably accurate time predictions of the relative aroma concentration in the nasal cavity and the model ability to simulate successive swallowing events as well as partial velopharyngeal closure. Parameters identified as the most influent for in-vivo aroma release were…

aroma compound[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[SDV]Life Sciences [q-bio]consumer choices and preferencesphysiological behaviourfood and beverages[SDV.IDA] Life Sciences [q-bio]/Food engineeringeatingphysicochemistry[SDV] Life Sciences [q-bio]modellingaromaphysiology[SDV.IDA]Life Sciences [q-bio]/Food engineeringotorhinolaryngologic diseases[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineeringperceptual interactionsin vivo release
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Pluviométrie et circulation atmosphérique simulées par le modèle régional WRF en Afrique australe : sensibilité à la physique et variabilité interne

2011

This study evaluates the capability of the regional climate model WRF to simulate Southern African rainfall and associated atmospheric circulation, particularly over South Africa, a country covered by a dense network of in situ observations. Three sets of simulations are performed at a 35km horizontal resolution during the core of the austral rainy season (December to February: DJF) with 6-hourly forcings provided by ERA40 reanalysis. The first set quantifies sensitivity of the simulated climate to the parameterizations of atmospheric convection, planetary boundary layer and microphysics. The retained case study (DJF 1993-1994: DJF94) is representative of the South African rainfall climatol…

atmospheric circulationAfrique australerainfallWRFcirculation atmosphériqueregional modelling[SDE.MCG] Environmental Sciences/Global Changes[ SDE.MCG ] Environmental Sciences/Global Changes[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatologymodélisation régionaleparamétrisation physiqueinternal variabilitypluviométrievariabilité interne[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologySouthern Africaphysical parameterization
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Conceptual design and simulation of a water Cherenkov muon veto for the XENON1T experiment

2014

XENON is a direct detection dark matter project, consisting of a time projection chamber (TPC) that uses xenon in double phase as a sensitive detection medium. XENON100, located at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy, is one of the most sensitive experiments of its field. During the operation of XENON100, the design and construction of the next generation detector (of ton-scale mass) of the XENON project, XENON1T, is taking place. XENON1T is being installed at LNGS as well. It has the goal to reduce the background by two orders of magnitude compared to XENON100, aiming at a sensitivity of $2 \cdot 10^{-47} \mathrm{cm}^{\mathrm{2}}$ for a WIMP mass of 50 GeV/c$^{2}$. With…

axionsPhysics - Instrumentation and Detectors[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Cherenkov and transition radiationCherenkov detectorPhysics::Instrumentation and DetectorsDark matterDetector modelling and simulations I (interaction of radiation with matterchemistry.chemical_elementFOS: Physical sciences01 natural scienceslaw.inventionNuclear physicsXenonWIMPlawCherenkov and transition radiation Detector modelling and simulations Cherenkov detectors Dark Matter detectorsetc.)0103 physical sciences[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsInstrumentationInstrumentation and Methods for Astrophysics (astro-ph.IM)Dark Matter detectors (WIMPsMathematical PhysicsCherenkov radiationetc)PhysicsMuonTime projection chamber010308 nuclear & particles physicsCherenkov detectorsDetectorAstrophysics::Instrumentation and Methods for Astrophysicsinteraction of photons with matterInstrumentation and Detectors (physics.ins-det)Cherenkov and transition radiation; Cherenkov detectors; Dark Matter detectors (WIMPs axions etc.); Detector modelling and simulations I (interaction of radiation with matter; interaction of hadrons with matter etc); interaction of photons with matter[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]interaction of hadrons with matterchemistryHigh Energy Physics::ExperimentAstrophysics - Instrumentation and Methods for AstrophysicsJOURNAL OF INSTRUMENTATION
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Comparison between simulated and observed LHC beam backgrounds in the ATLAS experiment at E beam =4 TeV

2018

Results of dedicated Monte Carlo simulations of beam-induced background (BIB) in the ATLAS experiment at the Large Hadron Collider (LHC) are presented and compared with data recorded in 2012. During normal physics operation this background arises mainly from scattering of the 4 TeV protons on residual gas in the beam pipe. Methods of reconstructing the BIB signals in the ATLAS detector, developed and implemented in the simulation chain based on the FLUKA Monte Carlo simulation package, are described. The interaction rates are determined from the residual gas pressure distribution in the LHC ring in order to set an absolute scale on the predicted rates of BIB so that they can be compared qua…

background [beam]background: inducedPhysics::Instrumentation and DetectorsCiencias FísicasMonte Carlo method01 natural sciencesHigh Energy Physics - ExperimentSubatomär fysik//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)beam lossesSubatomic Physicsscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]and programsInstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderRadiation calculationsAtlas (topology)Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)DetectorATLAS experimentSettore FIS/01 - Fisica SperimentaleSimulation methods and programBeams (radiation) Accelerator modelling and simulations (multi-particle dynamics;; single-particle dynamics); Radiation calculations; Simulation methods; and programs; DETECTOR; SEARCHObservableAccelerator modelling and simulations (multi-particle dynamicMonte Carlo [numerical calculations]ATLASNuclear & Particles PhysicsAccelerator modelling and simulationsCERN LHC Coll collimators beam: backgroundcolliding beams [p p]numerical calculations: Monte CarloCIENCIAS NATURALES Y EXACTASParticle Physics - Experimentp p: scatteringAccelerator modelling and simulations (multi-particle dynamics; Radiation calculations; Simulation methods and programs; single-particle dynamics); Instrumentation; Mathematical Physics530 PhysicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesFísica de Partículas y CamposAccelerator Physics and InstrumentationNuclear physicsFLUKAsingle-particle dynamics)ATLAS LHC High Energy PhysicsHIGH ENERGY PHYSICSSEARCH0103 physical sciencesddc:610010306 general physicsAbsolute scaleDETECTORpressure [gas]Science & Technology010308 nuclear & particles physicsScatteringhep-exRadiation calculationscatteringAcceleratorfysik och instrumentering//purl.org/becyt/ford/1.3 [https]ghostAccelerator modelling and simulations (multi-particle dynamicsSimulation methodscorrelationinduced [background]Experimental High Energy Physicsgas: pressureSimulation methods and programsp p: colliding beamsexperimental results
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Causal Models for Monitoring University Ordinary Financing Fund

2012

Recently iterated decreasing government transfers and an increasing proportion of budget allotted basing on competitive performances, took Italian Universities started struggling with competition for funds, in particular for the University Ordinary Financing Fund (FFO). Aim of this paper is monitoring variables responsible for FFO indicators, where monitoring means: describing, analysing retrospectively, predicting and intervening on variables responsible for indicators. All this aims can be achieved by statistical techniques that should be theoretically equipped with the distinction between predicting under observation and predicting under intervention, in order to provide correct answers …

bayesian inference causal modelling counterfactuals University Ordinary Financing FundSettore SECS-S/01 - Statistica
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Bayesian Modeling of caries onset and progression: the Belo Horizonte Caries Prevention Study

2011

bayesian modelling zero-inflated binomial dmft count dataSettore MED/01 - Statistica Medica
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Cluster priors in the Bayesian modelling of fMRI data

2001

bildanalysmarked point processesMonte Carlo -menetelmätMarkov chain Monte Carloimage analysiskuva-analyysiMarkovin ketjutmagneettitutkimusaivotfunctional magnetic resonance imaginghuman brainBayesian modellingMarkovkedjor
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