Search results for " processing"

showing 10 items of 7549 documents

Initial results on energy resolution of the NEXT-White detector

2018

One of the major goals of the NEXT-White (NEW) detector is to demonstrate the energy resolution that an electroluminescent high pressure xenon TPC can achieve for high energy tracks. For this purpose, energy calibrations with 137Cs and 232Th sources have been carried out as a part of the long run taken with the detector during most of 2017. This paper describes the initial results obtained with those calibrations, showing excellent linearity and an energy resolution that extrapolates to approximately 1% FWHM at Q$_{\beta\beta}$.

High energyPhysics - Instrumentation and DetectorsTime projection chamberschemistry.chemical_elementFOS: Physical sciences01 natural sciencesXenonOpticsEngineeringAffordable and Clean Energy0103 physical sciences010306 general physicsInstrumentationMathematical PhysicsLarge detector-systems performancePhysics010308 nuclear & particles physicsbusiness.industryDetectorResolution (electron density)LinearityInstrumentation and Detectors (physics.ins-det)Double-beta decay detectorsNuclear & Particles PhysicsOther Physical SciencesFull width at half maximumchemistryHigh pressurePhysical SciencesAnalysis and statistical methodsbusinessEnergy (signal processing)
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Improving checkpointing intervals by considering individual job failure probabilities

2021

Checkpointing is a popular resilience method in HPC and its efficiency highly depends on the choice of the checkpoint interval. Standard analytical approaches optimize intervals for big, long-running jobs that fail with high probability, while they are unable to minimize checkpointing overheads for jobs with a low or medium probability of failing. Nevertheless, our analysis of batch traces of four HPC systems shows that these jobs are extremely common.We therefore propose an iterative checkpointing algorithm to compute efficient intervals for jobs with a medium risk of failure. The method also supports big and long-running jobs by converging to the results of various traditional methods for…

High probabilitySystems simulationComputer scienceBatch processingInterval (mathematics)Medium RiskResilience (network)Reliability engineering2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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IRT Modeling of Decomposed Student Learning Patterns in Higher Education Economics

2019

Researchers have spent decades arguing how to measure improvements in learning within formal settings, where achievements are intended and presupposed, in a reliable and valid way. Repeated measures are required to investigate improvements of any kind. Students usually take a multiple-choice test at least twice with the difference between the two measurements indicating how much they have learned. Walstad and Wagner (J Econ Educ 47:121–131, 2016) presented a new approach to gathering more information about different learning patterns by decomposing these difference measures. They describe the patterns of positive learning (PL) and negative learning (NL), i.e., the development from not knowi…

Higher educationbusiness.industryComputer scienceProbabilistic logicCognitionTest theorycomputer.software_genreTest (assessment)Taxonomy (general)Item response theoryArtificial intelligencebusinessRepresentation (mathematics)computerNatural language processing
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The Relationship between General Intelligence and Media Use among University Students

2020

Students’ information selection process might be influenced by their choice of media sources, their learning contexts and motivation to use certain media as well as their general intelligence, which is crucial for information processing. This study examines the relationship between the general fluid intelligence and the media use of 709 first-year business & economics students from 44 universities in Germany for two different learning purposes: informing oneself about B&E topics and preparing for lectures and exams. Accordingly, the motivator information seeking is divided into curiosity driven and goal driven information seeking. Three types of media sources were included: common news sour…

Higher educationbusiness.industryInformation seekingmedia_common.quotation_subjectInformation processingKnowledge acquisitionNewspaperMathematics educationSelection (linguistics)CuriosityPsychologybusinessmedia_commonUses and gratifications theory
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Research and Development in the Finnish Wood Processing and Paper Industry, c. 1850-1990

2018

This chapter describes the general history of research and development work in the Finnish pulp and paper industry from the mid-nineteenth century until roughly 1990, a period that witnessed it undergo drastic changes because of the altered political environment in Europe and general globalization. In addressing its subject, this chapter is mainly concerned with the operation of paper mills, but it also addresses the related subjects of technical research, formal higher education and work-related, practical learning. In addition, it briefly discusses the challenges inherent in researching the development of technology because of its research traditions. peerReviewed

Higher educationbusiness.industrySubject (philosophy)History of technologyteknologinen kehityshistoriaPulp and paper industryhistory of technologyresearch and developmentPoliticsGlobalizationWork (electrical)Wood processingtutkimus- ja kehittämistoimintaPolitical scienceSuomiteknologiabusinessPeriod (music)Finland
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Improving point matching on multimodal images using distance and orientation automatic filtering

2016

International audience; Speed Up Robust Features SURF is one of the most popular and efficient methods used for image registration task. In order to achieve a correct registration, a good matching of feature point is required. However in the case of multimodal images, the high and non-linear intensity changes between different modalities led to many outliers (mismatching of detected points) and consequently a fail in the registration. Therefore, in this paper we introduce an efficient method devoted to the detection and removal of such outlier. It's based on an automatic filtering of outliers on both distance and orientation between features points. We tested our proposed method on a set of…

HistogramsComputer scienceFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration02 engineering and technologyimage matchingfeature point matchingRANSACElectronic mailautomatic outlier filteringHistogramautomatic orientation filteringhigh-nonlinear intensity[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringautomatic distance filteringOutlier detectionComputer visionIR visible imagesRobustnessmultimodal imagesUV imagesImage registrationimage filteringMeasurementbusiness.industryFeature matchingSURF020206 networking & telecommunicationsPoint set registrationPattern recognitionDetectorsdetected point mismatchingcultural heritagefluorescence imagesElectronic mail[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Outlierspeed-up robust featuresFeature extraction020201 artificial intelligence & image processingAnomaly detectionArtificial intelligencebusiness
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Effects of caspase inhibitors (z-VAD-fmk, z-VDVAD-fmk) on Nile Red fluorescence pattern in 7-ketocholesterol-treated cells: Investigation by flow cyt…

2007

Background: The 7-ketocholesterol (7KC)-induced cell death has some characteristics of apoptosis and is associated with polar lipid accumulation. So, we investigated the effects of the broad-spectrum caspase inhibitor z-VAD-fmk and of the caspase-2 inhibitor z-VDVAD-fmk on lipid profile evaluated by staining with Nile Red (NR). Methods: The 7KC-treated human monocytic U937 cells were cultured in the absence or in the presence of the caspase inhibitors z-VAD-fmk or z-VDVAD-fmk. When staining with NR is performed, neutral and polar lipids have yellow and orange/red emission, respectively, and fluorescence was then analyzed by flow cytometry (FCM) and by confocal laser scanning microscopy (CLS…

HistologyConfocalCaspase 2FluorescencePathology and Forensic Medicinelaw.inventionFlow cytometryAmino Acid Chloromethyl Ketones03 medical and health scienceschemistry.chemical_compound0302 clinical medicineConfocal microscopylawOxazinesmedicineImage Processing Computer-AssistedHumans[ SDV.IB ] Life Sciences [q-bio]/BioengineeringEnzyme InhibitorsKetocholesterols030304 developmental biology[SDV.IB] Life Sciences [q-bio]/BioengineeringCell Nucleus0303 health sciencesMicroscopyMicroscopy Confocalbiologymedicine.diagnostic_testNile redLipid metabolismCell BiologyU937 CellsFlow CytometryLipid MetabolismFluorescenceMolecular biologyCaspase Inhibitors3. Good healthStainingchemistry030220 oncology & carcinogenesisbiology.protein[SDV.IB]Life Sciences [q-bio]/Bioengineeringbiological phenomena cell phenomena and immunityFactor Analysis Statistical
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Redox signaling and histone acetylation in acute pancreatitis

2011

Histone acetylation via CBP/p300 coordinates the expression of proinflammatory cytokines in the activation phase of inflammation, particularly through mitogen-activated protein kinases (MAPKs), nuclear factor-κB (NF-κB), and signal transducers and activators of transcription (STAT) pathways. In contrast, histone deacetylases (HDACs) and protein phosphatases are mainly involved in the attenuation phase of inflammation. The role of reactive oxygen species (ROS) in the inflammatory cascade is much more important than expected. Mitochondrial ROS act as signal-transducing molecules that trigger proinflammatory cytokine production via inflammasome-independent and inflammasome-dependent pathways. …

Histone AcetyltransferasesMitochondrial ROSAcetylationProtein tyrosine phosphataseBiologyEndoplasmic Reticulum StressBiochemistryChromatin remodelingProinflammatory cytokineHistonesOxidative StressHistoneGene Expression RegulationPancreatitisAcetylationPhysiology (medical)Acute Diseasebiology.proteinCancer researchAnimalsHumansPhosphorylationOxidation-ReductionProtein Processing Post-TranslationalSignal TransductionFree Radical Biology and Medicine
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ICDAR 2021 Competition on Historical Document Classification

2021

International audience; This competition investigated the performance of historical document classification. The analysis of historical documents is a difficult challenge commonly solved by trained humanists. We provided three different classification tasks, which can be solved individually or jointly: font group/script type, location, date. The document images are provided by several institutions and are taken from handwritten and printed books as well as from charters. In contrast to previous competitions, all participants relied upon Deep Learning based approaches. Nevertheless, we saw a great performance variety of the different submitted systems. The easiest task seemed to be font grou…

Historical document imagesbusiness.industryComputer scienceDocument classificationDeep learningContrast (statistics)computer.software_genreVariety (linguistics)Task (project management)Competition (economics)Document classification[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingDocument analysisFontComputingMethodologies_DOCUMENTANDTEXTPROCESSINGDatingArtificial intelligence[SHS.HIST]Humanities and Social Sciences/HistorybusinesscomputerNatural language processingHistorical document
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Event reconstruction algorithms for the ATLAS trigger

2007

The ATLAS experiment under construction at CERN is due to begin operation at the end of 2007. The detector will record the results of proton-proton collisions at a centerof- mass energy of 14 TeV. The trigger is a three-tier system designed to identify in real-time potentially interesting events that are then saved for detailed offline analysis. The trigger system will select approximately 200 Hz of potentially interesting events out of the 40 MHz bunch-crossing rate (with 109 interactions per second at the nominal luminosity). Algorithms used in the trigger system to identify different event features of interest will be described, as well as their expected performance in terms of selection…

HistoryATLAS experiment01 natural sciencesEducationAtlas (anatomy)0103 physical sciencesmedicine[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsCiencias ExactasEvent reconstructionPhysicsLarge Hadron ColliderLuminosity (scattering theory)ATLAS detectorAlgoritmos010308 nuclear & particles physicsEvent (computing)ATLAS experimentDetectorFísicaATLASComputer Science ApplicationsTriggermedicine.anatomical_structureLHCAlgorithmEnergy (signal processing)
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