Search results for " pattern"

showing 10 items of 2245 documents

A survey on tubulin and arginine methyltransferase families sheds light on p. lividus embryo as model system for antiproliferative drug development

2019

Tubulins and microtubules (MTs) represent targets for taxane-based chemotherapy. To date, several lines of evidence suggest that effectiveness of compounds binding tubulin often relies on different post-translational modifications on tubulins. Among them, methylation was recently associated to drug resistance mechanisms impairing taxanes binding. The sea urchin is recognized as a research model in several fields including fertilization, embryo development and toxicology. To date, some &alpha

Sea urchinPRMTSettore BIO/11 - Biologia MolecolareDrug actionmacromolecular substancesBiologyCatalysisCatalysilcsh:ChemistryInorganic ChemistryMicrotubuleArginine methylationTubulinbiology.animalGene familyPhysical and Theoretical ChemistrySea urchinlcsh:QH301-705.5Molecular BiologySpectroscopyEchinodermechinodermsOrganic ChemistryEmbryoComputer Science Applications1707 Computer Vision and Pattern RecognitionGeneral MedicineMethylationComputer Science ApplicationsCell biologyTubulinDrug developmentlcsh:Biology (General)lcsh:QD1-999embryonic structuresbiology.proteinPost-translational modification
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A RAPID METHOD FOR CALCULATING THE TRANSVERSAL STRAIN IN THE MOIRE TECHNIQUE ALONG SECTIONS OF SYMMETRY

1970

An approximate rapid method is described for calculating in the moire technique the transversal strain directly from the longitudinal strain distribution across sections of symmetry. The method is based on evaluation of the load transmitted through the section and is corroborated by two examples.

Section (fiber bundle)Distribution (mathematics)Strain (chemistry)Longitudinal strainMechanics of MaterialsMechanical EngineeringTransversal (combinatorics)GeometryMoiré patternSymmetry (physics)MathematicsStrain
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Growth pattern of underlithified strata during thrust-related folding

2004

Abstract Asymmetric anticlines with overturned or steeply dipping forelimbs and gently dipping backlimbs are generally interpreted as thrust-related folds. Fold asymmetry occurs as a consequence of forelimb rotation. If deformation takes place in environments dominated by submarine sedimentation, the limbs coincide with the slope (depositional surface) and rotation reflects slope steepening. If folds are nucleated in poorly or unlithified deposits, growth geometry also depends on the properties of the media, such as cohesion and the angle of internal friction. For cohesionless deposits, the tilting of the slope influences the equilibrium of the soft sediments, resulting in gravity-driven fl…

Sedimentary depositional environmentBeddingCompactionAnticlineGeologyFold (geology)NeogenePetrologyLithificationGeomorphologyGeologySoft-sediment deformations Stratal pattern Fold growth Thrust tectonics Pliocene SicilyThrust tectonics
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Chaotic multiagent system approach for MRF-based image segmentation

2005

In this paper, we propose a new chaotic approach for image segmentation based on multiagent system (MAS). We consider a set of segmentation agents organized around a coordinator agent. Each segmentation agent performs iterated conditional modes (ICM) starting from its own initial image created using a chaotic mapping. The coordinator agent diversifies the initial images using a crossover and a chaotic mutation operators. The efficiency of our chaotic MAS approach is shown through some experimental results.

Segmentation-based object categorizationbusiness.industryComputer scienceMulti-agent systemCrossoverComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONChaoticScale-space segmentationImage segmentationComputingMethodologies_ARTIFICIALINTELLIGENCENonlinear Sciences::Chaotic DynamicsComputer Science::Multiagent SystemsComputerSystemsOrganization_MISCELLANEOUSComputer Science::Computer Vision and Pattern RecognitionIterated conditional modesSegmentationComputer visionArtificial intelligencebusinessISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.
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Time-Frequency Filtering for Seismic Waves Clustering

2014

This paper introduces a new technique for clustering seismic events based on processing, in time-frequency domain, the waveforms recorded by seismographs. The detection of clusters of waveforms is performed by a k-means like algorithm which analyzes, at each iteration, the time-frequency content of the signals in order to optimally remove the non discriminant components which should compromise the grouping of waveforms. This step is followed by the allocation and by the computation of the cluster centroids on the basis of the filtered signals. The effectiveness of the method is shown on a real dataset of seismic waveforms.

SeismometerInformation Systems and ManagementBasis (linear algebra)Computer sciencebusiness.industryComputationEarthquakes clusteringCentroidWaveforms clusteringComputer Science Applications1707 Computer Vision and Pattern RecognitionPattern recognitionInformation SystemSeismic noiseTime-frequency filteringwaveforms clustering earthquakes clustering time-frequency filteringSeismic wavePhysics::GeophysicsComputingMethodologies_PATTERNRECOGNITIONWaveformArtificial intelligenceSettore SECS-S/01 - StatisticaCluster analysisbusinessAnalysis
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Silhouette encoding and synthesis using elliptic Fourier descriptors, and applications to videoconferencing

2004

Abstract This paper investigates the use of elliptic Fourier descriptors as a shape descriptor for encoding the silhouette of a person. Shape descriptors are here used for predicting the shape of silhouettes in missing frames within a sequence. This prediction scheme is applied to the case of generating in-between images in a low frame rate videoconferencing system, where the reconstructed silhouette is used as a binary mask for reducing the computational time for the frame reconstruction.

Sequencebusiness.industryComputer scienceFrame (networking)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBinary numberFrame ratecomputer.software_genreLanguage and LinguisticsComputer Science ApplicationsSilhouetteHuman-Computer Interactionsymbols.namesakeFourier transformVideoconferencingComputer Science::Computational Engineering Finance and ScienceComputer Science::Computer Vision and Pattern RecognitionEncoding (memory)symbolsComputer visionArtificial intelligencebusinesscomputerComputingMethodologies_COMPUTERGRAPHICSJournal of Visual Languages & Computing
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Healthcare trajectory mining by combining multidimensional component and itemsets

2012

Sequential pattern mining is aimed at extracting correlations among temporal data. Many different methods were proposed to either enumerate sequences of set valued data (i.e., itemsets) or sequences containing multidimensional items. However, in real-world scenarios, data sequences are described as events of both multidimensional items and set valued information. These rich heterogeneous descriptions cannot be exploited by traditional approaches. For example, in healthcare domain, hospitalizations are defined as sequences of multi-dimensional attributes (e.g. Hospital or Diagnosis) associated with two sets, set of medical procedures (e.g. $ \lbrace $ Radiography, Appendectomy $\rbrace$) and…

Sequential PatternsComputer scienceDONNEE MEDICALE02 engineering and technologyReusecomputer.software_genreSynthetic dataDomain (software engineering)DATA MININGSet (abstract data type)Multi-dimensional Sequential Patterns020204 information systemsComponent (UML)SANTE0202 electrical engineering electronic engineering information engineeringPoint (geometry)SEQUENTIAL PATTERNMULTI DIMENSIONAL SEQUENTIAL PATTERNANALYSE DE DONNEES[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]BASE DE DONNEESTemporal databaseINFORMATIQUEScalabilityTRAJECTOIRE[SDE]Environmental Sciences020201 artificial intelligence & image processingData miningFOUILLEcomputer
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Quantifying the complexity of short-term heart period variability through K nearest neighbor local linear prediction

2008

The complexity of short-term heart period (HP) variability was quantified exploiting the paradigm that associates the degree of unpredictability of a time series to its dynamical complexity. Complexity was assessed through k-nearest neighbor local linear prediction. A proper selection of the parameter k allowed us to perform either linear or nonlinear prediction, and the comparison of the two approaches to infer the presence of nonlinear dynamics. The method was validated on simulations reproducing linear and nonlinear time series with varying levels of predictability. It was then applied to HP variability series measured from healthy subjects during head-up tilt test, showing that short-te…

Series (mathematics)Degree (graph theory)Computer Science Applications1707 Computer Vision and Pattern Recognitionk-nearest neighbors algorithmTerm (time)Nonlinear systemPosition (vector)Control theorySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaComputer Science Applications1707 Computer Vision and Pattern Recognition; Cardiology and Cardiovascular MedicineTime seriesPredictabilityCardiology and Cardiovascular MedicineAlgorithmMathematics
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Experimental approach for testing the uncoupling between cardiovascular variability series

2002

In cardiovascular variability analysis, the significance of the coupling between two series is commonly assessed by defining a zero level on the magnitude-squared coherence (MSC). Although the use of the conventional value of 0.5 does not consider the dependence of MSC estimates on the analysis parameters, a theoretical threshold Tt is available only for the weighted covariance (WC) estimator. In this study, an experimental threshold for zero coherence Te was derived by a statistical test from the sampling distribution of MSC estimated on completely uncoupled time series. MSC was estimated by the WC method (Parzen window, spectral bandwidth B = 0.015, 0.02, 0.025, 0.03 Hz) and by the parame…

Series (mathematics)Kernel density estimationModels CardiovascularMyocardial InfarctionBiomedical EngineeringEstimatorComputer Science Applications1707 Computer Vision and Pattern RecognitionSignal Processing Computer-AssistedCoherence (statistics)CovarianceFeedbackComputer Science ApplicationsSpectral analysiElectrocardiographySampling distributionAutoregressive modelCardiovascular variability serieStatisticsHumansMagnitude-squared coherenceParametric statisticsMathematicsMedical & Biological Engineering & Computing
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Vertical take-off and landing air transport to provide tourist mobility.

2012

Abstract This paper examines helicopter transfer services to reach attractive and not very accessible tourist areas, taking Sicily and its minor islands, in the South of Italy, as a case study. We investigate the viability of helicopter scheduled services for tourists moving from/to airports or doing one day tours to visit far away places. The mode choice of tourists is simulated using random utility models employing stated preference data. Heli-shuttle service is planned in terms of fleet size, frequency, fare and location pattern of heliports. The paper also analyses how a public subsidy reducing fares might change the set of feasible connections.

Service (business)Air transportStrategy and ManagementTransportationSubsidyManagement Monitoring Policy and LawTransport engineeringAir Transport tourist mobilitySettore ICAR/05 - TrasportiLocation patternPreference dataRandom utility modelsBusinessLawVertical take off and landingTourism
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