Search results for "r process"

showing 10 items of 665 documents

Exploring the mass surface near the rare-earth abundance peak via precision mass measurements at JYFLTRAP

2019

The JYFLTRAP double Penning trap at the Ion Guide Isotope Separator On-Line (IGISOL) facility has been used to measure the atomic masses of 13 neutron-rich rare-earth isotopes. Eight of the nuclides, $^{161}$Pm, $^{163}$Sm, $^{164,165}$Eu, $^{167}$Gd, and $^{165,167,168}$Tb, were measured for the first time. The systematics of the mass surface has been studied via one- and two-neutron separation energies as well as neutron pairing-gap and shell-gap energies. The proton-neutron pairing strength has also been investigated. The impact of the new mass values on the astrophysical rapid neutron capture process has been studied. The calculated abundance distribution results in a better agreement w…

EFFICIENCYrare and new isotopesastrofysiikkanuclear astrophysicsNuclear Theoryr processFOS: Physical sciencesnucl-ex01 natural sciences7. Clean energybinding energy and massesIonPENNING TRAPS0103 physical sciencesNuclear Physics - ExperimentNeutronNuclideIONNuclear Experiment (nucl-ex)Nuclear Experiment010306 general physicsNuclear ExperimentDETECTORPhysicsScience & TechnologySTABILITYIsotope010308 nuclear & particles physicsPhysicsR-PROCESSRAMSEY METHODPenning trapnuclear structure and decaysAtomic massNeutron capturePhysics NuclearSPECTROMETRY13. Climate actionPairingPhysical SciencesELECTRONAtomic physicsydinfysiikkaDECAYPhysical Review C
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ESCAPE TIMES IN STOCK MARKETS

2005

We study the statistical properties of escape times for stock price returns in the Wall Street market. In particular we get the escape time distribution for real data from daily transactions and for three models: (i) the Wiener process with drift and a constant market volatility, (ii) Heston and (iii) GARCH models, where the volatility is a stochastic process. We find that the first model is unable to catch all the features of the escape time distribution of real data. Moreover, the Heston model describes the probability density function for both return and escape times better than the GARCH model.

EconophysicsStochastic processGeneral MathematicsAutoregressive conditional heteroskedasticityGeneral Physics and AstronomyProbability density functionHeston modelsymbols.namesakeWiener processsymbolsEconometricsEscape TimesVolatility (finance)Mathematical economicsStock (geology)MathematicsFluctuation and Noise Letters
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A dq axis theory of the magnetic, thermal, and mechanical properties of Curie motor

2011

A dq axis theory of a thermomagnetic Curie motor is presented. This theory allows one to estimate the performances of a Curie motor from its geometrical, magnetic, and thermal properties. The proposed approach shows that the thermomagnetic Curie motor is equivalent from a magnetic point of view to a dc electric machine. The physical meaning of the parameters used in the dq theory of Curie motor is explicated. The theory is validated by using experimental data.

Electric machineElectric motorbusiness.product_categoryCondensed matter physicsChemistryGeneral Physics and AstronomyThermomagnetic convectionSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciQuantitative Biology::Subcellular ProcessesCondensed Matter::Materials ScienceNuclear magnetic resonanceThermalCurieCondensed Matter::Strongly Correlated Electronsbusinesselectric motors magnetic devices
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Detection of Ventricular Fibrillation Using the Image from Time-Frequency Representation and Combined Classifiers without Feature Extraction

2018

Due the fact that the required therapy to treat Ventricular Fibrillation (V F) is aggressive (electric shock), the lack of a proper detection and recovering therapy could cause serious injuries to the patient or trigger a ventricular fibrillation, or even death. This work describes the development of an automatic diagnostic system for the detection of the occurrence of V F in real time by means of the time-frequency representation (T F R) image of the ECG. The main novelties are the use of the T F R image as input for a classification process, as well as the use of combined classifiers. The feature extraction stage is eliminated and, together with the use of specialized binary classifiers, …

ElectrodiagnòsticECG electrocardiogram signalsComputer science0206 medical engineeringFeature extraction02 engineering and technologycombined classification algorithmslcsh:TechnologyImage (mathematics)lcsh:ChemistryTime–frequency representationimage analysisvoting majority method classifiersnon-stationary signalstime-frequency representation0202 electrical engineering electronic engineering information engineeringmedicineGeneral Materials ScienceInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesbusiness.industrybiomedical systemslcsh:TProcess Chemistry and TechnologyGeneral EngineeringPattern recognitionmedicine.disease020601 biomedical engineeringlcsh:QC1-999Computer Science ApplicationsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Ventricular fibrillationEnginyeria biomèdica020201 artificial intelligence & image processingArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)hierarchical classifiersImatges Processament Tècniques digitalslcsh:PhysicsApplied Sciences
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Real-Time Localization of Epileptogenic Foci EEG Signals: An FPGA-Based Implementation

2020

The epileptogenic focus is a brain area that may be surgically removed to control of epileptic seizures. Locating it is an essential and crucial step prior to the surgical treatment. However, given the difficulty of determining the localization of this brain region responsible of the initial seizure discharge, many works have proposed machine learning methods for the automatic classification of focal and non-focal electroencephalographic (EEG) signals. These works use automatic classification as an analysis tool for helping neurosurgeons to identify focal areas off-line, out of surgery, during the processing of the huge amount of information collected during several days of patient monitori…

ElectrodiagnòsticRemote patient monitoringComputer science02 engineering and technologyElectroencephalographylcsh:Technologylcsh:Chemistryepileptogenic focus03 medical and health sciences0302 clinical medicineClassifier (linguistics)0202 electrical engineering electronic engineering information engineeringmedicineGeneral Materials ScienceEpilepsy surgeryLatency (engineering)Field-programmable gate arrayInstrumentationThroughput (business)lcsh:QH301-705.5FPGAFluid Flow and Transfer Processesmedicine.diagnostic_testbusiness.industrylcsh:TProcess Chemistry and Technologyreal-time implementationepileptic eeg signal classificationGeneral EngineeringProcess (computing)Pattern recognitionelectroencephalogramlcsh:QC1-999Computer Science Applicationsfpgalcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040epileptic EEG signal classificationepilepsy020201 artificial intelligence & image processingEnginyeria biomèdicaArtificial intelligenceElectroencefalografiabusinesslcsh:Engineering (General). Civil engineering (General)030217 neurology & neurosurgerylcsh:Physics
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Dynamics of Magnetotactic Bacteria in a Rotating Magnetic Field

2007

The dynamics of the motile magnetotactic bacterium Magnetospirillum gryphiswaldense in a rotating magnetic field is investigated experimentally and analyzed by a theoretical model. These elongated bacteria are propelled by single flagella at each bacterial end and contain a magnetic filament formed by a linear assembly of approximately 40 ferromagnetic nanoparticles. The movements of the bacteria in suspension are analyzed by consideration of the orientation of their magnetic dipoles in the field, the hydrodynamic resistance of the bacteria, and the propulsive force of the flagella. Several novel features found in experiments include a velocity reversal during motion in the rotating field a…

Electromagnetic fieldMagnetotactic bacteriaField (physics)MovementBiophysics02 engineering and technology01 natural sciencesModels BiologicalQuantitative Biology::Cell BehaviorProtein filamentQuantitative Biology::Subcellular ProcessesMagneticsElectromagnetic Fields0103 physical sciencesMagnetospirillum010306 general physicsMagnetospirillumPhysicsRotating magnetic fieldPhysics::Biological PhysicsbiologyMagnetic moment021001 nanoscience & nanotechnologybiology.organism_classificationequipment and suppliesClassical mechanicsChemical physicsOther0210 nano-technologyMagnetic dipolehuman activitiesBiophysical Journal
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A preliminary method for the numerical prediction of the behavior of air bubbles in the design of Air Cavity Ships

2016

Air-cavity ships (ACS) are advanced marine vehicles that use air injection under hull to improve the vessel’s hydrodynamic characteristics. Although the concept of drag reduction by supplying gas under the ship’s bottom was proposed in the 19th century by Froude and Laval, at this time there are not many systematic studies on this subject. This paper is a preliminary work with the purpose of being a basic tool for the design of the ACS with computational fluid dynamic methods. The study aims to conduct a series of computational tests to compare the numerical models of bubble with experimental data. The first step of this study was to investigate the behavior of free bubble in water, conside…

EngineeringBubbleAerospace Engineering020101 civil engineering02 engineering and technologyComputational fluid dynamics01 natural sciencesCritical mass (software engineering)010305 fluids & plasmas0201 civil engineeringPhysics::Fluid Dynamicssymbols.namesakeHull0103 physical sciencesFroude numberNautical designSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeAir Cavity ShipFluid Flow and Transfer Processesbusiness.industryMechanical EngineeringDragAutomotive EngineeringsymbolsHull ventilationbusinessReduction (mathematics)CFDHigh-speed craft designSecondary air injectionMarine engineering
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DSC: software tool for simulation-based design of control strategies applied to wastewater treatment plants.

2011

This paper presents a computer tool called DSC (Simulation based Controllers Design) that enables an easy design of control systems and strategies applied to wastewater treatment plants. Although the control systems are developed and evaluated by simulation, this tool aims to facilitate the direct implementation of the designed control system to the PC of the full-scale WWTP (wastewater treatment plants). The designed control system can be programmed in a dedicated control application and can be connected to either the simulation software or the SCADA of the plant. To this end, the developed DSC incorporates an OPC server (OLE for process control) which facilitates an open-standard communic…

EngineeringCommunication protocolComputer controlProcess designIndustrial process applicationsWastewater treatmentWastewaterImplementation processcomputer.software_genreWaste Disposal FluidWWTPsAeration controlPerformance assessmentSoftwareControl theoryReclamationWastewater treatment plantsRatingAerationSimulation-based designsWater treatmentComputer softwareProcess engineeringControl systemDesign of control systemWater Science and TechnologyComputer control systemsCommunication protocolsComputer programControl strategiesCommunicationSimulation softwareOPC serverComputer simulationSimulation softwarePollutant removalFull-scale plantsWastewater treatment plant (WWTP)Environmental EngineeringDesignWaste water treatment plantControl performanceEquipmentSoftware toolComputer programMicrocomputerControl applicationsFull-scale applicationsNutrient cyclingSewage pumping plantsArticleNumerical modelSCADAControl theoryOle for process controlsControlProcess controlSimulation-basedComputer SimulationWater treatment plantsTECNOLOGIA DEL MEDIO AMBIENTESensorbusiness.industryControllers designSystems performanceControl engineeringControl parametersOPC communicationPotential capabilityControl systemProcess controlProcess designbusinesscomputerComputer toolsSoftwareNutrientWater science and technology : a journal of the International Association on Water Pollution Research
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ROTOR FLUX OPTIMAL ESTIMATION FOR INDUCTION MOTOR CONTROL

2005

Abstract The aim of this paper is to analyze and design reduced order observers of the rotor flux of induction motors. The design requirements are: a) the convergence rate of the rotor flux estimation error; b) a low sensitivity to stator and rotor resistance variations; c) a low sensitivity to errors due to the implementation of the observers on microprocessor-based systems. It is shown that, in order to satisfy the requirements a)-c), it is sufficient to solve a constrained optimization problem according to a criterion in which these requirements appear explicitly. The implementation of the observer is discussed. The observer is tested by simulation and experiments.

EngineeringObserver (quantum physics)Optimal estimationbusiness.industryRotor (electric)Statorlaw.inventionQuantitative Biology::Subcellular ProcessesSettore ING-INF/04 - AutomaticaRate of convergenceControl theorylawInduction Motors Reduced Order Observers.Rotor fluxSensitivity (control systems)businessInduction motorIFAC Proceedings Volumes
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Industrial Microreactor Process Development up to Production

2008

This chapter is about industrial applications of microprocess technology. Industry is not very active in publishing not only because of confidentiality reasons but also because of the absence of direct need for a corresponding profile. Thus, one cannot expect that the ongoing developments can be shown with a similar degree of completeness, clarity and detailedness, as this is possible for reviewing scientific contributions from academy with a wealth of peer-reviewed papers. Especially, the information of major interest of what has been transferred to production and how do the companies make profit with the new technology is usually kept secret. Thus, it has to be accepted that some informat…

EngineeringProfit (accounting)Process developmentOrganic synthesisIndustrial microreactor process developmentFine chemicals010402 general chemistry01 natural scienceslaw.inventionChemical productionlawProduction (economics)ConfidentialityMicroprocess technologybusiness.industry010405 organic chemistryData scienceManufacturing engineering0104 chemical sciencesMicroreactorOrganic catalysisPeptide synthesisWork (electrical)PublishingMicrochannelPilots plantsCLARITYScreening studies in laboratorybusinessIndustrial microreactor productionMicro Process Engineering
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