Search results for "QE"

showing 10 items of 457 documents

Diversity of large ornithopod dinosaurs in the upper Hauterivian-lower Barremian (Lower Cretaceous) of Teruel (Spain): a morphometric approach

2020

We report some large ornithopod vertebrae from two upper Hauterivian-lower Barremian (Lower Cretaceous) localities in El Castellar (Maestrazgo Basin, Teruel,Spain).These fossils have been studied systematically as well as morphometrically using a multivariate analysis in order to analyse the diversity of the sample. In fact, principal component analysis has been demonstrated as a useful tool for establishing affinities in isolated iguanodontian vertebrae, at least when size effect is not removed from the analysed dataset. As result of this study, twolarge indeterminate styracosternans are distinguished in the sample: a large one with platycoelus anterior caudal vertebrae related to the gene…

DorsumPaleontologybiologyRange (biology)PaleontologyIguanodonStructural basinbiology.organism_classificationQE701-760CretaceousGeologyOrnithopodSpanish Journal of Palaeontology
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Tevatron Run II combination of the effective leptonic electroweak mixing angle

2018

The Ministry of Science and Innovation and the Consolider-Ingenio 2010 Program and the European Union community Marie Curie Fellowship Contract No. 302103.

Drell-Yan processsemianalytical programsPhysics and Astronomy (miscellaneous)FERMION PAIR PRODUCTIONUPGRADETevatronhadron-colliders01 natural sciencesHigh Energy Physics - ExperimentPhysics Particles & Fieldselectron: pair productionHigh Energy Physics - Experiment (hep-ex)MONTE-CARLOUNIVERSAL MONTE-CARLOELECTROMAGNETIC CALORIMETERDZERO[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]HADRON COLLIDERSangular distributionBatavia TEVATRON CollMonte CarloPhysicsscattering [anti-p p]gauge bosonPhysicsElectroweak interactionDrell–Yan processWeinberg anglespontaneous symmetry breaking [electroweak interaction]muon: pair productionPhysical Sciencesmixing angle [electroweak interaction]bosonPHOTOSmass: measured [W]asymmetryParticle physicsFOS: Physical sciencesSEMIANALYTICAL PROGRAMddc:500.2Astronomy & Astrophysicselectroweak interaction: spontaneous symmetry breaking114 Physical sciences530programmingW: mass: measuredStandard Modelanti-p p: colliding beams[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]hadroproduction [Z0]0103 physical sciencesanti-p p: scatteringddc:530High Energy Physicspair production [electron]pair production [muon]CALORIMETER010306 general physicsQED RADIATIVE-CORRECTIONSQed radiative-corrections; fermion pair production; universal; Monte Carlo; parton distributions; hadron-colliders; electromagnetic; calorimeter;semianalytical programs; E(+)E(-) annihilation; boson; production; D0 detectorGauge bosonBOSON PRODUCTIONMuonScience & Technologyelectroweak interaction: mixing angleAnti-p p: scattering | anti-p p: colliding beams | Z0: hadroproduction | Z0: leptonic decay | electroweak interaction: spontaneous symmetry breaking | electroweak interaction: mixing angle | muon: pair production | W: mass: measured | Weinberg angle | Batavia TEVATRON Coll | angular distribution | electron: pair production | Drell-Yan process | gauge boson | programming | asymmetry | CDF | DZERO | experimental resultsIDENTIFICATION010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyuniversalWeinberg angleZ0: hadroproductionQED RADIATIVE-CORRECTIONS; FERMION PAIR PRODUCTION; UNIVERSAL; MONTE-CARLO; PARTON DISTRIBUTIONS; HADRON COLLIDERS; ELECTROMAGNETIC; CALORIMETER; SEMIANALYTICAL PROGRAM; E(+)E(-) ANNIHILATION; BOSON; PRODUCTION; D0 DETECTORleptonic decay [Z0]E(+)E(-) ANNIHILATIONelectromagneticPARTON DISTRIBUTIONSExperimental High Energy PhysicsZ0: leptonic decayD0 DETECTORCDFHigh Energy Physics::Experimentproductioncolliding beams [anti-p p]Leptonexperimental results
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Modified Montmorillonite as Drug Delivery Agent for Enhancing Antibiotic Therapy

2021

The appealing properties of surfactant-intercalated Montmorillonites (Organo-montmorillonite, OMt) were successfully investigated to propose an effective drug delivery system for metronidazole (MNE) antibiotic therapy. This represents a serious pharmaceutical concern due to the adverse drug reactions and the low targeting ability of MNE. The non-ionic surfactant Tween 20 was used to functionalize montmorillonite, thus accomplishing the two-fold objective of enhancing the stability of clay dispersion and better controlling drug uptake and release. The adsorption process was performed under different experimental conditions and investigated by constructing the adsorption isotherms through hig…

DrugBiocompatibilitymedia_common.quotation_subjectmontmorillonite; organoclay; metronidazole; surfactant; adsorption; release; drug delivery systemDrug delivery systemGeologyMineralogyGeotechnical Engineering and Engineering GeologyControlled releasechemistry.chemical_compoundMontmorilloniteAdsorptionchemistryPulmonary surfactantChemical engineeringMetronidazoleReleaseSurfactantDrug deliveryOrganoclayAdsorptionOrganoclayQE351-399.2Montmorillonitemedia_commonMinerals; Volume 11; Issue 12; Pages: 1315
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The 1-way on-line coupled model system MECO(n) – Part 4: Chemical evaluation (based on MESSy v2.52)

2016

Abstract. For the first time a simulation incorporating tropospheric and stratospheric chemistry using the newly developed MECO(n) model system is performed. MECO(n) is short for MESSyfied ECHAM and COSMO model nested n-times. It features an on-line coupling of the COSMO-CLM model, equipped with the Modular Earth Submodel System (MESSy) interface (called COSMO/MESSy), with the global atmospheric chemistry model ECHAM5/MESSy for Atmospheric Chemistry (EMAC). This on-line coupling allows a consistent model chain with respect to chemical and meteorological boundary conditions from the global scale down to the regional kilometre scale. A MECO(2) simulation incorporating one regional instance ov…

ECHAM010504 meteorology & atmospheric sciencesScale (ratio)Meteorologylcsh:QE1-996.5Model system010501 environmental sciences01 natural scienceslcsh:GeologyTroposphereDiurnal cycleAtmospheric chemistryErdsystem-ModellierungCOSMO EMAC Evaluation ChemistrySatellite0105 earth and related environmental sciencesLine (formation)
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Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51

2016

Abstract. Three types of reference simulations, as recommended by the Chemistry–Climate Model Initiative (CCMI), have been performed with version 2.51 of the European Centre for Medium-Range Weather Forecasts – Hamburg (ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model: hindcast simulations (1950–2011), hindcast simulations with specified dynamics (1979–2013), i.e. nudged towards ERA-Interim reanalysis data, and combined hindcast and projection simulations (1950–2100). The manuscript summarizes the updates of the model system and details the different model set-ups used, including the on-line calculated diagnostics. Simulations have been performed with two diff…

ECHAM550010504 meteorology & atmospheric sciencesMeteorologyEarth System ModellingModel system010501 environmental sciences010502 geochemistry & geophysics01 natural sciencesMESSyErdsystem-ModellierungHindcastChemistry-Climate Model IntiativeProjection (set theory)0105 earth and related environmental sciencesTropospheric aerosolEMACbusiness.industrylcsh:QE1-996.5DATA processing & computer scienceModular designlcsh:GeologyEarth system science13. Climate actionClimatologyAtmospheric chemistryAtmospheric Chemistryddc:004business
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A quasi chemistry-transport model mode for EMAC

2010

Abstract. A quasi chemistry-transport model mode (QCTM) is presented for the numerical chemistry-climate simulation system ECHAM/MESSy Atmospheric Chemistry (EMAC). It allows for a quantification of chemical signals through suppression of any feedback between chemistry and dynamics. Noise would otherwise interfere too strongly. The signal is calculated from the difference of two QCTM simulations, a reference simulation and a sensitivity simulation. In order to avoid the feedbacks, the simulations adopt the following offline chemical fields: (a) offline mixing ratios of radiatively active substances enter the radiation scheme, (b) offline mixing ratios of nitric acid enter the scheme for re-…

ECHAMEMACSource codeQCTMNoise (signal processing)Chemistrymedia_common.quotation_subjectlcsh:QE1-996.5Mode (statistics)Computational physicslcsh:GeologyAtmospheric chemistrySensitivity (control systems)Mixing (physics)SimulationWater vapormedia_common
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The on-line coupled atmospheric chemistry model system MECO(n) – Part 5: Expanding the Multi-Model-Driver (MMD v2.0) for 2-way data exchange includin…

2018

Abstract. As part of the Modular Earth Submodel System (MESSy), the Multi-Model-Driver (MMD v1.0) was developed to couple online the regional Consortium for Small-scale Modeling (COSMO) model into a driving model, which can be either the regional COSMO model or the global European Centre Hamburg general circulation model (ECHAM) (see Part 2 of the model documentation). The coupled system is called MECO(n), i.e., MESSy-fied ECHAM and COSMO models nested n times. In this article, which is part of the model documentation of the MECO(n) system, the second generation of MMD is introduced. MMD comprises the message-passing infrastructure required for the parallel execution (multiple programme mul…

ECHAMatmospheric chemistryTheoretical computer science010504 meteorology & atmospheric sciencesComputer science0208 environmental biotechnology02 engineering and technology01 natural sciencesComputational scienceMESSyMECO(n)Erdsystem-Modellierungddc:550multi-scale modelling0105 earth and related environmental sciencesEMACtwo-way-nestinCOSMObusiness.industrylcsh:QE1-996.5grid transformationModular designGrid020801 environmental engineeringlcsh:GeologyEarth sciencesTransformation (function)Modular Earth Submodel SystemData exchangeLine (geometry)dustGRIDbusinessMulti-Model-DriverremappingInterpolationData transmissionGeoscientific Model Development
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Early Jurassic (Sinemurian to basal Toarcian) ammonites of the Brescian Prealps (Southern Alps, Italy).

2017

This work provides a more precise up-to-date biostratigraphical framework of the Early Jurassic ammonite succession of the Brescian Prealps with more than seventy taxa for the Sinemurian, Pliensbachian and basal Toarcian corresponding to a about 30 horizons or faunal assemblages rather well correlable with the NW European standard zonation. These results are supported with already published data, new data from recent field investigations, revised contributions of different authors and with the study of the historical collection of the Museum of Natural Sciences of Brescia (Northern Italy). The biohorizons are referred to the Lower Jurassic carbonate series of the Brescian Prealps, cropping …

Early Jurassiclcsh:QE1-996.5Biostratigraphylcsh:GeologyItalylcsh:PaleontologyAmmonitesSystematics[SDU.STU.PG] Sciences of the Universe [physics]/Earth Sciences/Paleontology14. Life underwater[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/Paleontologylcsh:QE701-760Early Jurassic; Ammonites; Systematics; Biostratigraphy; Southern Alps; ItalySouthern Alps[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/Paleontology
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Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)

2019

Abstract. Atmospheric radiative transfer models (RTMs) are software tools that help researchers in understanding the radiative processes occurring in the Earth's atmosphere. Given their importance in remote sensing applications, the intercomparison of atmospheric RTMs is therefore one of the main tasks used to evaluate model performance and identify the characteristics that differ between models. This can be a tedious tasks that requires good knowledge of the model inputs/outputs and the generation of large databases of consistent simulations. With the evolution of these software tools, their increase in complexity bears implications for their use in practical applications and model interco…

Earth observation010504 meteorology & atmospheric sciencesComputer sciencebusiness.industryMODTRANRemote sensing applicationlcsh:QE1-996.50211 other engineering and technologies02 engineering and technology01 natural scienceslcsh:GeologySoftwareComputer engineeringLookup tableRadiative transferTable (database)businessGraphical user interface021101 geological & geomatics engineering0105 earth and related environmental sciences
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Polar motion prediction using the combination of SSA and Copula-based analysis

2018

The real-time estimation of polar motion (PM) is needed for the navigation of Earth satellite and interplanetary spacecraft. However, it is impossible to have real-time information due to the complexity of the measurement model and data processing. Various prediction methods have been developed. However, the accuracy of PM prediction is still not satisfactory even for a few days in the future. Therefore, new techniques or a combination of the existing methods need to be investigated for improving the accuracy of the predicted PM. There is a well-introduced method called Copula, and we want to combine it with singular spectrum analysis (SSA) method for PM prediction. In this study, first, we…

Earth satellite010504 meteorology & atmospheric scienceslcsh:GeodesyPolar motion010502 geochemistry & geophysics01 natural sciencesCopula (probability theory)Prediction methodsddc:550Applied mathematicsEOPSSASingular spectrum analysis0105 earth and related environmental sciencespolar motionData processinglcsh:QB275-343Full Paperlcsh:QE1-996.5lcsh:Geography. Anthropology. RecreationGeologyInternational Earth Rotation and Reference Systems ServiceMatemática Aplicadaprediction550 Geowissenschaftenlcsh:Geologylcsh:GCopulaSpace and Planetary SciencePolar motionPredictionHybrid modelEarth, Planets and Space
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