Search results for "Dynamic"

showing 10 items of 12329 documents

Ovarian size and blood flow in women with polycystic ovary syndrome (PCOS) and their correlations with some endocrine parameters

2005

Objective: To determine how common polycystic ovarian morphology may be in women given the clinical diagnosis of polycystic ovary syndrome (PCOS) based on chronic anovulation and hyperandrogenism and whether certain hormonal factors correlate with ovarian morphology and blood flow. Design: Prospective study. Setting: Two academic endocrinology centers in Italy. Patient(s): Three hundred twenty-six women with PCOS and 50 age-matched and weight-matched ovulatory women. Intervention(s): Ultrasound assessment of ovarian morphology in patients and controls and ovarian blood flow and fasting hormone levels in a subset of 50 patients and matched controls. Main Outcome Measure(s): Ovarian morpholog…

endocrine systemmedicine.medical_specialtyendocrine system diseasesmedicine.drug_classPolycystic ovary syndrome ovarian size blood flow insulin testosterone inhibin Bmedicine.medical_treatmentHemodynamicsOvaryBiologyStatistics NonparametricAnovulationInsulin resistanceEndocrine GlandsInternal medicinemedicineHumansProspective StudiesGonadal Steroid Hormonesendocrine parametersAnalysis of VarianceInsulinOvaryHyperandrogenismObstetrics and GynecologyOrgan Sizemedicine.diseasePolycystic ovaryfemale genital diseases and pregnancy complicationsmedicine.anatomical_structureEndocrinologyReproductive MedicineRegional Blood FlowEstrogenpolycystic ovary syndromeFemaleHyperandrogenismpolycystic ovary syndrome; endocrine parametersAnovulation
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Validity of a novel device for indoor analysis of cyclists' drag area

2021

Cyclists need to measure aerodynamic resistance accurately and reliably, as well as economically. Devices such as Notio Aerostick, an equipment device that includes one pitot tube, have appeared for this purpose. The aim of this study is, therefore, to test the reliability and degree of agreement in the evaluation of the CdA (coefficient of aerodynamic drag), assessed by means of the Notio Aerostick compared to the Virtual Elevation (VE) and Martin mathematical models.Seventeen professional cyclists rode in a 250-metre-long velodrome covered with a concrete surface with their own time trial bikes. Each cyclist completed three rides of 15 laps at constant speed for the evaluation of the CdA,…

enduranceDrag coefficientcyclingMathematical modelMeasure (physics)Physical Therapy Sports Therapy and RehabilitationPitot tubeGeneral MedicineAerodynamicstestinglaw.inventioncoefficient of dragDragEquipment/devicelawpitot-tubeEnvironmental scienceOrthopedics and Sports Medicinemathematical modelsMarine engineering
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The Large Hadron–Electron Collider at the HL-LHC

2021

The Large Hadron-Electron Collider (LHeC) is designed to move the field of deep inelastic scattering (DIS) to the energy and intensity frontier of particle physics. Exploiting energy-recovery technology, it collides a novel, intense electron beam with a proton or ion beam from the High-Luminosity Large Hadron Collider (HL-LHC). The accelerator and interaction region are designed for concurrent electron-proton and proton-proton operations. This report represents an update to the LHeC's conceptual design report (CDR), published in 2012. It comprises new results on the parton structure of the proton and heavier nuclei, QCD dynamics, and electroweak and top-quark physics. It is shown how the LH…

energy recoverylepton nucleus: scatteringparton: distribution functionhiukkasfysiikka7. Clean energy01 natural sciencesaccelerator physicsHigh Energy Physics - Phenomenology (hep-ph)HEAVY FLAVOR CONTRIBUTIONSenergy-recovery- linacNuclear Experimentcolliding beams [electron p]deep-inelastic scatteringtop and electroweak physicsnew physicsPhysicsSTRUCTURE-FUNCTION RATIOSMonte Carlo [numerical calculations]buildingsprimary [vertex]High Energy Physics - Phenomenologyelectron p: colliding beamskinematicsNuclear Physics - Theoryfinal state: hadronicp: distribution functionbeyond Standard Modelvertex: primarynumerical calculations: Monte Carlodistribution function [parton]High-lumiLHCSTRUCTURE-FUNCTION F-2(X[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]ion: beam[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesNuclear Theory (nucl-th)deep inelastic scatteringquantum chromodynamicsddc:530010306 general physicsdeep-inelastic scattering; high-lumi LHC; QCD; Higgs; top and electroweak physics; nuclear physics; beyond standard Model; energy-recovery- linac; accelerator physics010308 nuclear & particles physicshigh-lumi LHCresolutionscattering [electron p]structure function [nucleus]sensitivitybeam [electron]energy-recovery-linacHiggsacceptanceNuclear TheoryHIGH-ENERGY FACTORIZATIONdistribution function [p]density [parton]Higgs; High-lumi LHCHigh Energy Physics - Experimentdesign [detector]High Energy Physics - Experiment (hep-ex)electron: linear acceleratorelectron hadron: scatteringCERN LHC Coll: upgrade[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [electron hadron]FCCelectron: beamNuclear Experiment (nucl-ex)linear accelerator [electron]Nuclear ExperimentlatticesuperconductivityEnergy-recoverylinacBeyond Standard ModeNuclear physics; QCDelectron nucleus: colliding beamsparton: densitycolliding beams [electron nucleus]Particle Physics - ExperimentNUCLEON STRUCTURE FUNCTIONSNuclear and High Energy Physicsscattering [lepton nucleus]beam [ion]FOS: Physical sciencesnucleus: structure functionhadronic [final state]electron p: scatteringTRANSVERSE-MOMENTUM DEPENDENCEnuclear physics0103 physical sciencesNuclear Physics - Experimentstructureupgrade [CERN LHC Coll]detector: designParticle Physics - PhenomenologyDEEP-INELASTIC-SCATTERINGelectroweak interaction3-LOOP SPLITTING FUNCTIONSCLASSICAL RADIATION ZEROScalibrationAccelerators and Storage RingsQCDmagnethigh [current]13. Climate action[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]LHeCPhysics::Accelerator PhysicsJET CROSS-SECTIONSHigh Energy Physics::Experimentcurrent: highJournal of Physics G: Nuclear and Particle Physics
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Influence of Surface-Related Phenomena on Mechanism, Selectivity, and Conversion of TiO2 -Induced Photocatalytic Reactions

2018

Heterogeneous photocatalysis is the result of an inextricable connection of several factors differently contributing to the overall process. Photon absorption is the “sine qua non” condition for the reaction to occur. In fact, photons can be considered as immaterial reactants, and all of the phenomena related to the interaction of light–matter play a prominent role. However, other factors contribute in a concerted way to address the reaction, so that the relative contribution of each of them is often difficult to evaluate. In this framework, the present paper highlights some aspects of the interaction of TiO 2 surface-adsorbate species that could be underestimated and their influence on the…

energy transferChemistrySine qua nonGeneral Chemical Engineering02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencesElectron transferphotocatalysiGeneral EnergyAdsorptionwater dynamicsChemical physicsMechanism (philosophy)PhotocatalysisEnvironmental ChemistryGeneral Materials SciencetitaniumSettore CHIM/07 - Fondamenti Chimici Delle Tecnologie0210 nano-technologySelectivityChemSusChem
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QCD resummation effects in forward $J/\psi$ and very backward jet inclusive production at the LHC

2017

We propose and study the inclusive production of a forward $J/\psi$ and a very backward jet at the LHC as an observable to reveal high-energy resummation effects \`a la BFKL. Our different predictions are based on the various existing mechanisms to describe the production of the $J/\psi$, namely, NRQCD singlet and octet contributions, and the color evaporation model.

energy: highcolor: evaporationquantum chromodynamics: nonrelativisticHigh Energy Physics::PhenomenologysingletHigh Energy Physics - ExperimentHigh Energy Physics - Phenomenologyforward productionCERN LHC Colljet: inclusive productionresummation[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex][PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]High Energy Physics::ExperimentJ/psi(3100): productionBFKL equationoctet
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Summary of Week VII

2018

International audience; Week VII of the INT program 2018 “Probing Nucleons and Nuclei in High Energy Collisions” was dedicated to topics at the interface of the electron-ion collider (EIC), heavy ion and proton-nucleus collisions. The EIC will provide complementary tools to investigate and constrain the initial state in HIC collisions, as well as transport properties of QCD matter which can be extracted from observables that are sensitive to final states interactions such as pt-broadening and energy loss. The contributed talks and discussions covered a variety of physics topics from saturation physics and the origin of multi-particle correlations in HIC to jet quenching and the strong coupl…

energy: highsmall-x physicsenergy losssaturationnucleuselectron nucleon: colliding beamselectron nucleusfinal-state interactionjet quenchingcorrelation[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]Jetsstrong couplingtransport theoryholographyjet: quenchingNuclear Experimentnuclear PDFinitial statequantum chromodynamics: matter
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Partition of volatile compounds in pea globulin–maltodextrin aqueous two-phase system

2014

International audience; This study is based on the assumption that the off-flavour of pea proteins might be decreased using the retention of volatile compounds by a mixture with another biopolymer. The partition of volatile compounds in an aqueous system containing pea protein and maltodextrins was followed under thermodynamic incompatibility conditions. Firstly, the phase diagram of the system was established. Then, the partition of aroma compounds between the phase rich in protein and the phase rich in maltodextrin was measured by SPME–GC–MS. There was a transfer of volatile compounds during phase separation. Variations of pH were also used to vary the retention of volatile compounds by p…

engineering.materialGas Chromatography-Mass SpectrometryAnalytical Chemistrychemistry.chemical_compoundMaltodextrinPolysaccharidesPhase (matter)[SDV.IDA]Life Sciences [q-bio]/Food engineeringOrganic chemistry[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologySPME–GC–MSSolid Phase MicroextractionAromaPlant ProteinsPhase diagramVolatile Organic CompoundsChromatographyAqueous solutionbiologyChemistryPea proteinPeasAqueous two-phase systemfood and beveragesGlobulinsGeneral MedicineMaltodextrinbiology.organism_classificationPhase diagramSolutionsTasteOdorantsPea proteinengineeringVolatile compoundsThermodynamicsBiopolymerFood SciencePartition
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Environmental Management Maturity: The Role of Dynamic Validation.

2021

Maturity models enhance the performance of companies by prescribing a trajectory through stages of increasing capability. However, a recent review of maturity models concludes that current maturity models hardly meet the design principles required for prescriptive use. To address this deficiency, we conducted semistructured interviews and a Group Model Building study with industrial companies in Spain in which we studied the progression toward a Leading Green Company as the highest maturity stage of environmental management. The findings from the study were tested using surveys with enterprises in Spain, Italy, and the United Kingdom, semistructured interviews in the United Kingdom and case…

environmental managementMaturity modelCapability modelsMaturity stagesDynamic modeling
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Assessing Chinese Textile and Apparel Industry Business Sustainability: The Role of Organization Green Culture, Green Dynamic Capabilities, and Green…

2023

The current study aims to evaluate the role of environmental orientation (EO) on green dynamic capabilities (GDCs), organization green culture (OGC), and green innovation (GIN) toward business sustainability (BUS) in the context of Chinese textile and apparel manufacturing firms. Natural resources-based view (NRBV) and dynamic capabilities view (DCV) were used as the theoretical lenses of the research. This study is quantitative, and a purposive sampling technique was employed to collect data from the managers working in textile and apparel manufacturing firms in China. The sample size consisted of 339 managers. Partial least-square structural equation modeling (PLS-SEM) was employed to ana…

environmental orientationRenewable Energy Sustainability and the Environmentvihreä talousvaateteollisuusGeography Planning and Developmentgreen dynamic capabilitiesvihreä siirtymäBuilding and ConstructionManagement Monitoring Policy and Lawenvironmental orientation; green dynamic capabilities; organization green culture; green innovation; business sustainabilityorganization green culturetekstiili- ja vaatetusteollisuusgreen innovationyritysvastuubusiness sustainabilitySustainability; Volume 15; Issue 11; Pages: 8588
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Asymptotic Hölder regularity for the ellipsoid process

2020

We obtain an asymptotic Hölder estimate for functions satisfying a dynamic programming principle arising from a so-called ellipsoid process. By the ellipsoid process we mean a generalization of the random walk where the next step in the process is taken inside a given space dependent ellipsoid. This stochastic process is related to elliptic equations in non-divergence form with bounded and measurable coefficients, and the regularity estimate is stable as the step size of the process converges to zero. The proof, which requires certain control on the distortion and the measure of the ellipsoids but not continuity assumption, is based on the coupling method.

equations in non-divergence formControl and OptimizationDynamic programming principleGeneralizationSpace (mathematics)01 natural sciencesMeasure (mathematics)local Hölder estimatespeliteoriastochastic games0101 mathematicsstokastiset prosessitMathematicsosittaisdifferentiaaliyhtälötStochastic process010102 general mathematicsMathematical analysisRandom walkEllipsoidcoupling of stochastic processes010101 applied mathematicsDistortion (mathematics)Computational Mathematicsellipsoid processControl and Systems EngineeringBounded functionESAIM: Control, Optimisation and Calculus of Variations
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