Search results for "Data processing"

showing 10 items of 175 documents

Stream processing in Big Data for e-health care

2019

In this chapter, we will present the stream processing and batch processing. Besides, we will conduct a qualitative comparison of the most popular data processing systems, namely Storm and Spark streaming. We will describe their respective underlying bases and the functionalities they provide and discuss how they can be introduced into e-health care analysis programs.

Stream processingDatabasebusiness.industryComputer scienceSpark (mathematics)Health careBig dataBatch processingComputerApplications_COMPUTERSINOTHERSYSTEMSbusinesscomputer.software_genrecomputerData processing system
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Aircraft type-specific errors in AMDAR weather reports from commercial aircraft

2008

AMDAR (Aircraft Meteorological DAta Relay) automated weather reports from commercial aircraft provide an increasing amount of input data for numerical weather prediction models. Previous studies have investigated the quality of AMDAR data. Few of these studies, however, have revealed indications of systematic errors dependent upon the aircraft type. Since different airlines use different algorithms to generate AMDAR reports, it has remained unclear whether a dependency on the aircraft type is caused by physical properties of the aircraft or by different data processing algorithms. In the present study, a special AMDAR dataset was used to investigate the physical type-dependent errors of AMD…

Systematic errorAtmospheric ScienceData processingMeteorologybusiness.industryAircraft meteorological data relayType specificNumerical weather prediction modelsContrast (statistics)Temperature biasTemperature measurementSoftwareAircraft Meteorological Data RelayEnvironmental sciencebusinessAircraft measurementsUpper air data
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Imaging synaptic zinc release in living nervous tissue

2001

Zinc enriched neurons have a pool of synaptic vesicles which contain free or loosely-bound zinc ions. The movement of the vesicular zinc ions into the synaptic clefts has been previously studied by microdialysis, fluorescence postmortem staining for zinc and radioactive zinc isotope. In this study the zinc fluorescence probe N-6-metoxy-p-toluensulfonamide quinoline (TSQ) has been applied as a tracer of synaptic release of zinc ions. This fluorochrome permeates cell membranes and when exposed to living brain slices gives rise to a staining pattern similar to that seen with autometallography. In the living brain slices, fluorescence emission persists after exposure to calcium saturated ethyle…

TelencephalonMicrodialysisCell Membrane PermeabilitySynaptic cleftSodiumNeurophysiologychemistry.chemical_elementZincSynaptic TransmissionSynaptic vesiclePotassium ChlorideTosyl CompoundsImage Processing Computer-AssistedExtracellularAnimalsEdetic AcidFluorescent DyesElectronic Data ProcessingMicroscopy VideoGeneral NeuroscienceCell MembraneLizardsZincMembraneMicroscopy FluorescencechemistryBiochemistryIsotopes of zincAminoquinolinesBiophysicsRabbitsSynaptic VesiclesJournal of Neuroscience Methods
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Precise measurement of the top quark mass in dilepton decays using optimized neutrino weighting

2016

We measure the top quark mass in dilepton final states of top-antitop events in proton-antiproton collisions at sqrt(s) = 1.96 TeV, using data corresponding to an integrated luminosity of 9.7 fb^-1 at the Fermilab Tevatron Collider. The analysis features a comprehensive optimization of the neutrino weighting method to minimize the statistical uncertainties. We also improve the calibration of jet energies using the calibration determined in top-antitop to lepton+jets events, which reduces the otherwise limiting systematic uncertainty from the jet energy scale. The measured top quark mass is mt = 173.32 +/- 1.36(stat) +/- 0.85(syst) GeV.

Top quarkdependence [flavor]TevatronATLAS DETECTORJet (particle physics)pair production [top]7. Clean energy01 natural sciencesHigh Energy Physics - ExperimentPhysics Particles & FieldsSubatomär fysikHigh Energy Physics - Experiment (hep-ex)DZEROSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]HADRON COLLIDERSBatavia TEVATRON CollFermilabNuclear ExperimentGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Physicsscattering [anti-p p]Luminosity (scattering theory)PhysicsNuclear & Particles Physicslcsh:QC1-999Physics NuclearPhysical SciencesPOLEflavor [quark]mass: measured [top]Neutrinotop quark mass; dilepton decays; neutrino weightingdata analysis methodParticle physicsNuclear and High Energy PhysicsAstrophysics::High Energy Astrophysical PhenomenaSTANDARD MODELFOS: Physical sciencesAstronomy & AstrophysicsAccelerator Physics and Instrumentation530Standard ModelNuclear physics0202 Atomic Molecular Nuclear Particle And Plasma Physicsfinal state [dilepton]0103 physical sciencesMODEL HIGGS-BOSONddc:530High Energy Physics010306 general physics1960 GeV-cmsScience & TechnologyPP COLLISIONSIDENTIFICATION010308 nuclear & particles physicsDATA processing & computer scienceHigh Energy Physics::PhenomenologyAcceleratorfysik och instrumenteringenergy [jet]PRODUCTION CROSS-SECTION(MS)OVER-BAR MASSEScalibration [jet]Experimental High Energy PhysicsPhysics::Accelerator PhysicsTEVHigh Energy Physics::Experimentddc:004statisticalcolliding beams [anti-p p]lcsh:Physicsexperimental resultsLepton
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Towards a Concurrence Analysis in Business Processes

2020

This paper presents first steps towards a solution aimed to provide concurrent business processes analysis methodology for predicting the probability of incorrect business process execution. The aim of the paper is to (a) look at approaches to describing and dealing with the execution of concurrent processes, mainly focusing on the transaction mechanisms in database management systems, (b) present an idea and a preliminary version of an algorithm that detects the possibility of incorrect execution of concurrent business processes. Analyzing business process according to the proposed procedure allows to configure transaction processing optimally.

Transaction processingBusiness processComputer sciencebusiness.industryBusiness data processingConcurrenceSoftware engineeringbusinessDatabase transaction2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS)
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Molecular characterization of an inducible p-coumaric acid decarboxylase from Lactobacillus plantarum: gene cloning, transcriptional analysis, overex…

1997

By using degenerate primers designed from the first 19 N-terminal amino acids of Lactobacillus plantarum p-coumaric acid decarboxylase (PDC), a 56-bp fragment was amplified from L. plantarum in PCRs and used as a probe for screening an L. plantarum genomic bank. Of the 2,880 clones in the genomic bank, one was isolated by colony hybridization and contained a 519-bp open reading frame (pdc gene) followed by a putative terminator structure. The pdc gene is expressed on a monocistronic transcriptional unit, which is transcribed from promoter sequences homologous to Lactococcus promoter sequences. No mRNA from pdc and no PDC activity were detected in uninduced cell extracts, indicating that the…

Transcription GeneticCarboxy-LyasesMolecular Sequence Datamacromolecular substancesMolecular cloningmedicine.disease_causePolymerase Chain ReactionApplied Microbiology and BiotechnologyOpen Reading FramesLactococcusGene expressionEscherichia colimedicineGenomic libraryAmino Acid SequenceCloning MolecularPromoter Regions GeneticEscherichia coliGeneGene LibraryRecombination GeneticElectronic Data ProcessingBase SequenceEcologybiologyNucleic acid sequenceChromosome MappingNucleic Acid Hybridizationhemic and immune systemsGene Expression Regulation BacterialBlotting Northernbiology.organism_classificationMolecular biologyRecombinant ProteinsBlotting SouthernLactobacillusRNA BacterialTerminator (genetics)BiochemistryEnzyme InductionElectrophoresis Polyacrylamide GelLactobacillus plantarumResearch ArticleFood ScienceBiotechnologyApplied and Environmental Microbiology
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Implementation and performance of the ATLAS second level jet trigger

2008

ATLAS is one of the four major LHC experiments, designed to cover a wide range of physics topics. In order to cope with a rate of 40 MHz and 25 interactions per bunch crossing, the ATLAS trigger system is divided in three different levels. The first one (LVL1, hardware based) identifies signatures in 2 microseconds that are confirmed by the the following trigger levels (software based). The Second Level Trigger (LVL2) only looks at a region of the space around the LVL1 signature (called Region of Interest or ROI), confirming/rejecting the event in about 10 ms, while the Event Filter (Third Level Trigger, EF) has potential full event access and larger processing times, of the order of 1 s. T…

UnpackingPhysicsHistoryData processingLarge Hadron ColliderMathematical modelAtlas (topology)Reconstruction algorithmParticle identificationComputer Science ApplicationsEducationComputational scienceData acquisitionStatistical physicsDetectors and Experimental TechniquesJournal of Physics: Conference Series
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Improving structural similarity based virtual screening using background knowledge

2013

Background Virtual screening in the form of similarity rankings is often applied in the early drug discovery process to rank and prioritize compounds from a database. This similarity ranking can be achieved with structural similarity measures. However, their general nature can lead to insufficient performance in some application cases. In this paper, we provide a link between ranking-based virtual screening and fragment-based data mining methods. The inclusion of binding-relevant background knowledge into a structural similarity measure improves the quality of the similarity rankings. This background knowledge in the form of binding relevant substructures can either be derived by hand selec…

Virtual screeningEnrichmentPhysical and Theoretical ChemistryLibrary and Information SciencesStructural similarity004 InformatikComputer Graphics and Computer-Aided DesignData miningBackground knowledge004 Data processingComputer Science ApplicationsResearch Article
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The bridge volcanic LIdar-BILLI: A review of data collection and processing techniques in the Italian most hazardous volcanic areas

2020

Volcanologists have demonstrated that carbon dioxide (CO2) fluxes are precursors of volcanic eruptions. Controlling volcanic gases and, in particular, the CO2 flux, is technically challenging, but we can retrieve useful information from magmatic/geological process studies for the mitigation of volcanic hazards including air traffic security. Existing techniques used to probe volcanic gas fluxes have severe limitations such as the requirement of near-vent in situ measurements, which is unsafe for operators and deleterious for equipment. In order to overcome these limitations, a novel range-resolved DIAL-Lidar (Differential Absorption Light Detection and Ranging) has been developed as part of…

Volcanic hazards010504 meteorology & atmospheric sciences010502 geochemistry & geophysics01 natural scienceslcsh:TechnologyData processing techniquesWind speedBridge (nautical)Volcanic Gaseslcsh:ChemistryHazardous wasteGeneral Materials ScienceeventVolcanic eruptionsInstrumentationlcsh:QH301-705.50105 earth and related environmental sciencesRemote sensingFluid Flow and Transfer Processesevent.disaster_typeCO2 flux Data processing techniques DIAL-Lidar Volcanic eruptions Volcanic plumesgeographyData collectiongeography.geographical_feature_categorylcsh:TProcess Chemistry and TechnologyCO<sub>2</sub> fluxGeneral Engineeringlcsh:QC1-999Computer Science ApplicationsfluxLidarVolcanolcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040DIAL-LidarVolcanic plumesEnvironmental scienceCO2lcsh:Engineering (General). Civil engineering (General)lcsh:Physics
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Metabolic plasticity of mixotrophic algae is key for their persistence in browning environments

2022

The dataset consists of phenotypic and transcriptomic data of Cryptomonas sp. when submitted to different concentrations of dissolved organic carbon (DOC), fully phototrophic conditions and glucose supplemented phototrophic conditions. In addition, scripts of processing of transcriptomic data together with input and output files are given. For more detailed description, see the attached documentation.

algaetranskriptomilevättranscriptometietojenkäsittelydata processing
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