Search results for "Curse"

showing 10 items of 115 documents

Enhanced superconductivity in atomically thin TaS2

2016

The ability to exfoliate layered materials down to the single layer limit has presented the opportunity to understand how a gradual reduction in dimensionality affects the properties of bulk materials. Here we use this top–down approach to address the problem of superconductivity in the two-dimensional limit. The transport properties of electronic devices based on 2H tantalum disulfide flakes of different thicknesses are presented. We observe that superconductivity persists down to the thinnest layer investigated (3.5 nm), and interestingly, we find a pronounced enhancement in the critical temperature from 0.5 to 2.2 K as the layers are thinned down. In addition, we propose a tight-binding …

SuperconductivityWork (thermodynamics)Materials scienceScienceTantalumFOS: Physical sciencesGeneral Physics and Astronomychemistry.chemical_element02 engineering and technology01 natural sciencesArticleGeneral Biochemistry Genetics and Molecular BiologySuperconductivity (cond-mat.supr-con)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciences010306 general physicsSuperconductivitatSuperconductivityCoupling constantMultidisciplinaryCondensed Matter - Mesoscale and Nanoscale PhysicsAtomically thinCondensed matter physicsCondensed Matter - SuperconductivityQDisulfide bondFísicaGeneral ChemistryCiència dels materials021001 nanoscience & nanotechnologychemistry0210 nano-technologyLayer (electronics)Single layerCurse of dimensionality
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Neural Network Approach for Characterizing Structural Transformations by X-Ray Absorption Fine Structure Spectroscopy

2018

AIF acknowledge support by the US Department of Energy, Office of Basic Energy Sciences under Grant No. DE-FG02 03ER15476. AIF acknowledges support by the Laboratory Directed Research and Development Program through LDRD 18-047 of Brookhaven National Laboratory under U.S. Department of Energy Contract No. DE-SC0012704 for initiating his research in machine learning methods. The help of the beamline staff at ELETTRA (project 20160412) synchrotron radiation facility is acknowledged. RMC-EXAFS and MD-EXAFS simulations were performed on the LASC cluster-type computer at Institute of Solid State Physics of the University of Latvia.

AusteniteWork (thermodynamics)Materials scienceGeneral Physics and Astronomy02 engineering and technology021001 nanoscience & nanotechnologyRadial distribution function01 natural sciencesSpectral lineX-ray absorption fine structureChemical physics0103 physical sciences:NATURAL SCIENCES:Physics [Research Subject Categories]010306 general physics0210 nano-technologySpectroscopyAbsorption (electromagnetic radiation)Curse of dimensionalityPhysical Review Letters
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La mer et Saint-Malo à la fin du Moyen-Age. L’appareillage de la pérennité

2018

Saint-Malo est baptisé le “Nid des Corsaires”. C’est le port le plus étincelant du royaume de France sous le règne de Louis XIV (Lespagnol, 1995). Comment ne pas retenir les grands noms dont accouche Saint-Malo, avec un navigateur tel que Jacques Cartier ou des corsaires comme René Duguay-Trouin et Robert Surcouf? La prospérité de Saint Malo à l’époque Moderne et la postérité de ses grands noms, ne peuvent se lire qu’en perspective de ferments accomplis par d’autres malouins, dont la petite histoire a été refoulée dans l’ombre d’une plus grande. Comprendre Saint Malo au XIVe siècle nécessite une lecture dichotomique. D’une part, la ville s’inscrit dans la continuité vis-à-vis de son passé, …

HistoryMoyen Agemedia_common.quotation_subjectModern historyEducationKingdomPrivateersCurseMaloSaint-Malomedia_commonCurselcsh:French literature - Italian literature - Spanish literature - Portuguese literatureSeabiologyMiddle-AgeSAINTCorsairesbiology.organism_classificationGenealogyComputer Science ApplicationsGeographylcsh:PQ1-3999MerProsperityCourseHumanities
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Gear classification and fault detection using a diffusion map framework

2015

This article proposes a system health monitoring approach that detects abnormal behavior of machines. Diffusion map is used to reduce the dimensionality of training data, which facilitates the classification of newly arriving measurements. The new measurements are handled with Nyström extension. The method is trained and tested with real gear monitoring data from several windmill parks. A machine health index is proposed, showing that data recordings can be classified as working or failing using dimensionality reduction and warning levels in the low dimensional space. The proposed approach can be used with any system that produces high-dimensional measurement data. peerReviewed

ta113Diffusion (acoustics)Training setta214Computer scienceDimensionality reductiondiffusion mapExtension (predicate logic)computer.software_genreFault detection and isolationfault detectionsystem health monitoringArtificial IntelligenceSignal ProcessingComputer Vision and Pattern RecognitionData miningCluster analysiscomputerSoftwareCurse of dimensionalityclustering
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PRINCIPAL POLYNOMIAL ANALYSIS

2014

© 2014 World Scientific Publishing Company. This paper presents a new framework for manifold learning based on a sequence of principal polynomials that capture the possibly nonlinear nature of the data. The proposed Principal Polynomial Analysis (PPA) generalizes PCA by modeling the directions of maximal variance by means of curves instead of straight lines. Contrarily to previous approaches PPA reduces to performing simple univariate regressions which makes it computationally feasible and robust. Moreover PPA shows a number of interesting analytical properties. First PPA is a volume preserving map which in turn guarantees the existence of the inverse. Second such an inverse can be obtained…

FOS: Computer and information sciencesPolynomialComputer Networks and CommunicationsComputer scienceMachine Learning (stat.ML)02 engineering and technologyReduction (complexity)03 medical and health sciencessymbols.namesake0302 clinical medicineStatistics - Machine LearningArtificial Intelligence0202 electrical engineering electronic engineering information engineeringPrincipal Polynomial AnalysisPrincipal Component AnalysisMahalanobis distanceModels StatisticalCodingDimensionality reductionNonlinear dimensionality reductionGeneral MedicineClassificationDimensionality reductionManifold learningNonlinear DynamicsMetric (mathematics)Jacobian matrix and determinantsymbolsRegression Analysis020201 artificial intelligence & image processingNeural Networks ComputerAlgorithmAlgorithms030217 neurology & neurosurgeryCurse of dimensionalityInternational Journal of Neural Systems
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Conditional Entropy-Based Evaluation of Information Dynamics in Physiological Systems

2014

We present a framework for quantifying the dynamics of information in coupled physiological systems based on the notion of conditional entropy (CondEn). First, we revisit some basic concepts of information dynamics, providing definitions of self entropy (SE), cross entropy (CE) and transfer entropy (TE) as measures of information storage and transfer in bivariate systems. We discuss also the generalization to multivariate systems, showing the importance of SE, CE and TE as relevant factors in the decomposition of the system predictive information. Then, we show how all these measures can be expressed in terms of CondEn, and devise accordingly a framework for their data-efficient estimation.…

Conditional entropyComputer scienceEstimatorMutual informationCross entropyArtificial IntelligenceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaTransfer entropyEntropy (energy dispersal)Time seriesComputational MechanicAlgorithmSoftwareCurse of dimensionality
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Earth system data cubes unravel global multivariate dynamics

2020

Understanding Earth system dynamics in light of ongoing human intervention and dependency remains a major scientific challenge. The unprecedented availability of data streams describing different facets of the Earth now offers fundamentally new avenues to address this quest. However, several practical hurdles, especially the lack of data interoperability, limit the joint potential of these data streams. Today, many initiatives within and beyond the Earth system sciences are exploring new approaches to overcome these hurdles and meet the growing interdisciplinary need for data-intensive research; using data cubes is one promising avenue. Here, we introduce the concept of Earth system data cu…

Agriculture and Food SciencesDECOMPOSITION0106 biological sciencesFLUXESDependency (UML)lcsh:Dynamic and structural geology010504 meteorology & atmospheric sciencesInterface (Java)Computer scienceDIMENSIONALITY010603 evolutionary biology01 natural sciencesESAData cube03 medical and health scienceslcsh:QE500-639.5TEMPERATURE SENSITIVITYlcsh:Science030304 developmental biology0105 earth and related environmental sciences0303 health sciencesData stream mininglcsh:QE1-996.5SCIENCEFRAMEWORKData sciencePRODUCTSlcsh:GeologyMODELEarth system scienceVariable (computer science)Workflow13. Climate actionGeneral Earth and Planetary Scienceslcsh:QSOIL RESPIRATIONCurse of dimensionality
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La “Donna di Ostuni”, a case of eclampsia 28,000 years ago?

2017

La "Donna di Ostuni", the Lady from Ostuni (fortified medieval city, on the southern Italian Adriatic coast) is the skeleton of "the human most ancient mother" ever found by paleoanthropologists, grave dated of 28,000 years BP. It concerns a 20-years-old woman buried with her baby in her womb estimated at 8 months gestation. To date, the cause of the maternal-fetal deaths is qualified of unknown origin. We propose that eclampsia may be a possible explanation for these deaths (mother and baby together). Eclampsia (convulsions), the curse of human births (non-existent in other mammals), has been described since writings has existed 5000 years ago in all civilisations. This plausible descripti…

Gestational AgeAncient historyYoung Adult03 medical and health sciences0302 clinical medicinePregnancy[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologymedicineHumansEclampsia030212 general & internal medicineFetal DeathHistory AncientComputingMilieux_MISCELLANEOUSCurse030219 obstetrics & reproductive medicineEclampsiabusiness.industryObstetrics and GynecologyMilestone[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologiemedicine.diseaseItalyPaleoanthropologyPediatrics Perinatology and Child HealthMaternal DeathFemaleHead Protective Devices[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusiness[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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The effect of reducing dimensionality on the excitonic recombination in InAs/InP heterostructures

1997

In this work we study the exciton recombination of InAs/InP self-organized quantum dots by means of photolumincscence (PL) as a function of temperature and excitation density. Well defined islands, spatially separated in most cases, and with different size distribution, make localized exciton recombination the dominant contribution to the PL spectrum. From our experimental results, we propose the co-existence of two types of islands, one with small height whose contribution to the PL spectra is important in samples with low InAs coverage (below two monolayers), and the properly 3D islands, whose dimensions and sheet concentration increase with the InAs coverage. Good quality structures are …

PhysicsCondensed matter physicsbusiness.industryOptoelectronicsHeterojunctionCondensed Matter PhysicsbusinessRecombinationElectronic Optical and Magnetic MaterialsCurse of dimensionality
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A hybrid virtual–boundary element formulation for heterogeneous materials

2021

Abstract In this work, a hybrid formulation based on the conjoined use of the recently developed Virtual Element Method (VEM) and the Boundary Element Method (BEM) is proposed for the effective computational analysis of multi-region domains, representative of heterogeneous materials. VEM has been recently developed as a generalisation of the Finite Element Method (FEM) and it allows the straightforward employment of elements of general polygonal shape, maintaining a high level of accuracy. For its inherent features, it allows the use of meshes of general topology, including non-convex elements. On the other hand, BEM is an effective technique for the numerical solution of sets of boundary i…

Computer scienceMechanical Engineering02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter PhysicsHomogenization (chemistry)Finite element methodComputational scienceMatrix (mathematics)020303 mechanical engineering & transports0203 mechanical engineeringMechanics of MaterialsConvergence (routing)Fibre-reinforced Composite MaterialsComputational Micro-mechanicsComputational HomogenizationContinuum Damage MechanicsVirtual Element MethodBoundary Element MethodGeneral Materials SciencePolygon meshSettore ING-IND/04 - Costruzioni E Strutture Aerospaziali0210 nano-technologyReduction (mathematics)Boundary element methodCivil and Structural EngineeringCurse of dimensionalityInternational Journal of Mechanical Sciences
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