Search results for "HIDDEN"

showing 10 items of 210 documents

Cryptic diversity within three South American whip spider species (Arachnida, Amblypygi)

2020

4 pages; International audience; Cryptic diversity (CD), the presence of highly divergent phylogenetic lineages within closed morphological species, has been documented for many taxa. Great arachnid orders such as Araneae or Scorpiones are well studied and many cases of CD have been described therein; to date, however, related research on smaller arachnid orders, such as whip spiders (Amblypygi), remains lacking. In the current study, we investigated CD based on cytochrome oxidase 1 (COI) in three nominal species of the genus Heterophrynus (H. alces, H. batesii, and H. longicornis), represented by 65 specimens. The sequences were compared using three different methods. All three species sho…

0106 biological sciences0301 basic medicineArachnidZoology[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomySpatial distribution010603 evolutionary biology01 natural sciencesHidden diversity03 medical and health sciencesAmblypygiSpecies SpecificityGenuslcsh:ZoologyAnimalsDNA barcodinglcsh:QL1-991Whip (tree)Letters to the EditorEcology Evolution Behavior and SystematicsPhylogenySpiderEcologyPhylogenetic treebiologyAmazon basin forestGenetic VariationSpidersDNAbiology.organism_classification030104 developmental biologyTaxonAnimal Science and Zoology[SDE.BE]Environmental Sciences/Biodiversity and EcologyZoological Research
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The gypsy database (GyDB) of mobile genetic elements: release 2.0

2011

This article introduces the second release of the Gypsy Database of Mobile Genetic Elements (GyDB 2.0): a research project devoted to the evolutionary dynamics of viruses and transposable elements based on their phylogenetic classification (per lineage and protein domain). The Gypsy Database (GyDB) is a long-term project that is continuously progressing, and that owing to the high molecular diversity of mobile elements requires to be completed in several stages. GyDB 2.0 has been powered with a wiki to allow other researchers participate in the project. The current database stage and scope are long terminal repeats (LTR) retroelements and relatives. GyDB 2.0 is an update based on the analys…

0106 biological sciencesProtein domainretroelementsLineage (evolution)[SDV]Life Sciences [q-bio]Retroviridae ProteinsCaulimoviridaeEukaryote evolutioncomputer.software_genrephylogeny01 natural sciencesDatabases GeneticRefSeqPhylogenyPriority journalbase de données0303 health sciencesRetrovirusPhylogenetic treeDatabaseSequence analysisdatabases geneticArticlesClassificationChemistryGenetic lineRetroelementsGenetic databaseComputer programBiologyArticleMobile genetic element03 medical and health sciencesLong terminal repeatWeb pagephylogénieVirus proteinGeneticsLife Science[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyAccess to informationTransposon030304 developmental biologyretroelements;phylogeny;software;terminal repeat sequences;databases geneticHidden Markov modelCauliflower mosaic virusCaulimovirussoftwareRetroposonTerminal Repeat SequencesDNA structureInterspersed Repetitive Sequencesterminal repeat sequencesNonhumanRetroviridaeData analysis softwareGenetic variabilityMobile genetic elementscomputerLENGUAJES Y SISTEMAS INFORMATICOSSoftware010606 plant biology & botanyPhylogenetic nomenclaturePhylogenetic tree
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Dealing with Culture in Schools: A Small-Step Approach Towards Anti-racism in Finland

2017

This chapter discusses anti-racism education by focusing on how culture is used in educational discourses in Finland. More and more studies highlight the pervasive use of culture as a substitute for race, urging scholars to explore how and why cultural claims are made relevant (Breidenbach and Nyiri 2009; Piller 2011). Culture is present in numerous subjects (e.g. religion, literature, history, languages) and anti-racism education should therefore be understood from a holistic perspective. This chapter focuses on the Finnish context which is relevant to examine for two main reasons. First, Finnish school system is globally represented as high quality. Second, the new national curriculum, wh…

060201 languages & linguisticsantirasismikoulut05 social sciencesForeign language050801 communication & media studiesContext (language use)06 humanities and the artsNational curriculumkulttuurienvälinen viestintäIntercultural communicationEducational research0508 media and communicationskoulutusCultural diversityPolitical science0602 languages and literaturePedagogyHidden curriculumcultueSocial scienceCurriculumFinland
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Coupled conditional backward sampling particle filter

2020

The conditional particle filter (CPF) is a promising algorithm for general hidden Markov model smoothing. Empirical evidence suggests that the variant of CPF with backward sampling (CBPF) performs well even with long time series. Previous theoretical results have not been able to demonstrate the improvement brought by backward sampling, whereas we provide rates showing that CBPF can remain effective with a fixed number of particles independent of the time horizon. Our result is based on analysis of a new coupling of two CBPFs, the coupled conditional backward sampling particle filter (CCBPF). We show that CCBPF has good stability properties in the sense that with fixed number of particles, …

65C05FOS: Computer and information sciencesStatistics and ProbabilityunbiasedMarkovin ketjutTime horizonStatistics - Computation01 natural sciencesStability (probability)backward sampling65C05 (Primary) 60J05 65C35 65C40 (secondary)010104 statistics & probabilityconvergence rateFOS: MathematicsApplied mathematics0101 mathematicscouplingHidden Markov model65C35Computation (stat.CO)Mathematicsstokastiset prosessitBackward samplingSeries (mathematics)Probability (math.PR)Sampling (statistics)conditional particle filterMonte Carlo -menetelmätRate of convergence65C6065C40numeerinen analyysiStatistics Probability and UncertaintyParticle filterMathematics - ProbabilitySmoothing
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A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living

2015

This research aims to describe pattern recognition models for detecting behavioural and health-related changes in a patient who is monitored continuously in an assisted living environment. The early anticipation of anomalies can improve the rate of disease prevention. Here we present different learning techniques for predicting abnormalities and behavioural trends in various user contexts. In this paper we described a Hidden Markov Model based approach for detecting abnormalities in daily activities, a process of identifying irregularity in routine behaviours from statistical histories and an exponential smoothing technique to predict future changes in various vital signs. The outcomes of t…

Activities of daily livingComputer scienceContext (language use)computer.software_genreMachine learningHidden Markov ModelArtificial IntelligencePattern recognitionHealth careCloud computingTrend detectionHidden Markov modelFuzzy ruleContext-awarebusiness.industryHealthcare[INFO.INFO-IA]Computer Science [cs]/Computer Aided EngineeringStatistical process control3. Good healthAmbient assisted livingRemote monitoringEldercareAnticipation (artificial intelligence)Signal ProcessingPattern recognition (psychology)Change detectionComputer Vision and Pattern RecognitionArtificial intelligenceData miningbusinesscomputerSoftwareChange detectionPattern Recognition
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Motion sensors for activity recognition in an ambient-intelligence scenario

2013

In recent years, Ambient Intelligence (AmI) has attracted a number of researchers due to the widespread diffusion of unobtrusive sensing devices. The availability of such a great amount of acquired data has driven the interest of the scientific community in producing novel methods for combining raw measurements in order to understand what is happening in the monitored scenario. Moreover, due the primary role of the end user, an additional requirement of any AmI system is to maintain a high level of pervasiveness. In this paper we propose a method for recognizing human activities by means of a time of flight (ToF) depth and RGB camera device, namely Microsoft Kinect. The proposed approach is…

Ambient intelligencebusiness.industryComputer scienceSupport vector machineActivity recognitionActivity Recognition Ambient IntelligencePattern recognition (psychology)RGB color modelComputer visionArtificial intelligenceHidden Markov modelbusinessCluster analysisWireless sensor network2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
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A Study of Perceptron Mapping Capability to Design Speech Event Detectors

2006

Event detection is a fundamental yet critical component in automatic speech recognition (ASR) systems that attempt to extract knowledge-based features at the front-end level. In this context, it is common practice to design the detectors inside well-known frameworks based on artificial neural network (ANN) or support vector machine (SVM). In the case of ANN, speech scientists often design their detector architecture relying on conventional feed-forward multi-layer perceptron (MLP) with sigmoidal activation function. The aim of this paper is to introduce other ANN architectures inside the context of detection-based ASR. In particular, a bank of feed-forward MLPs using sinusoidal activation f…

Artificial neural networkComputer scienceEvent (computing)business.industrySpeech recognitionComputer Science::Neural and Evolutionary ComputationContext (language use)Pattern recognitionspeech segmentationPerceptronSpeech segmentationSupport vector machineComputer Science::SoundSpeechDetection theoryArtificial intelligencerecognitionHidden Markov modelbusiness
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The Belle II Physics Book

2019

cd. autorów: L. Cao48,‡, G. Caria145,‡, G. Casarosa57,‡, C. Cecchi56,‡,D. Cˇ ervenkov10,‡,M.-C. Chang22,‡, P. Chang92,‡, R. Cheaib146,‡, V. Chekelian83,‡, Y. Chen154,‡, B. G. Cheon28,‡, K. Chilikin77,‡, K. Cho70,‡, J. Choi14,‡, S.-K. Choi27,‡, S. Choudhury35,‡, D. Cinabro170,‡, L. M. Cremaldi146,‡, D. Cuesta47,‡, S. Cunliffe16,‡, N. Dash33,‡, E. de la Cruz Burelo9,‡, E. de Lucia52,‡, G. De Nardo54,‡, †Editor. ‡Belle II Collaborator. §Theory or external contributing author. M. De Nuccio16,‡, G. De Pietro59,‡, A. De Yta Hernandez9,‡, B. Deschamps129,‡, M. Destefanis60,‡, S. Dey116,‡, F.Di Capua54,‡, S.Di Carlo75,‡, J. Dingfelder129,‡, Z. Doležal10,‡, I. Domínguez Jiménez125,‡, T.V. Dong30,26,…

B: semileptonic decayPhysics beyond the Standard ModelHadronelectroproduction [charmonium]General Physics and AstronomyComputingMilieux_LEGALASPECTSOFCOMPUTINGB: radiative decayannihilation [electron positron]7. Clean energy01 natural sciencescharmonium: electroproductionB physicsHigh Energy Physics - Experimentlaw.inventionHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)Z'law[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Charm (quantum number)dark sector searchesPhysicslifetimeradiative decay [B]doublet [Higgs particle]new physicsPhysicsHigh Energy Physics - Lattice (hep-lat)ddc:530Electroweak interactionlepton: flavor: violationhep-phParticle Physics - LatticeMonte Carlo [numerical calculations]electron positron: colliding beamsQuarkoniumasymmetry: CPquarkonium physicselectroweak interaction: penguinHigh Energy Physics - PhenomenologyImproved performancecolliding beams [electron positron]CP violationinterfaceelectroproduction [quarkonium]electroweak precision measurementsnumerical calculations: Monte CarlophysicsParticle Physics - ExperimentperformanceParticle physicsflavor: violation [lepton]reviewhep-latFOS: Physical sciencesBELLEHigh Energy Physics - Experiment; High Energy Physics - Experiment; High Energy Physics - Lattice; High Energy Physics - Phenomenologyelectron positron: annihilationquarkonium: electroproductionCP [asymmetry]E(6)Higgs particle: doubletmixing [D0 anti-D0]Theoretical physicsCP: violation: time dependenceHigh Energy Physics - LatticeKEK-B0103 physical sciencesquantum chromodynamicshidden sector [photon]ddc:530composite010306 general physicsColliderParticle Physics - PhenomenologyHigh Energy Physics - Experiment; High Energy Physics - Lattice; High Energy Physics - Phenomenologyphoton: hidden sectorhep-ex010308 nuclear & particles physics[PHYS.HLAT]Physics [physics]/High Energy Physics - Lattice [hep-lat]C50 Other topics in experimental particle physicsviolation: time dependence [CP]D0 anti-D0: mixingB2TiP530 PhysikExperimental physicsB: leptonic decayCKM matrix[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]penguin [electroweak interaction]leptonic decay [B]semileptonic decay [B]charmparticle identificationexperimental results
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Counterexamples to the Kalman Conjectures

2018

In the paper counterexamples to the Kalman conjecture with smooth nonlinearity basing on the Fitts system, that are periodic solution or hidden chaotic attractor are presented. It is shown, that despite the fact that Kalman’s conjecture (as well as Aizerman’s) turned out to be incorrect in the case of n > 3, it had a huge impact on the theory of absolute stability, namely, the selection of the class of nonlinear systems whose stability can be studied with linear methods. peerReviewed

Barabanov systemsäätöteoriakaaosteoriamethodKalman conjectureFitts systempoint-mappinghidden attractor
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IWCFTA2012 Keynote Speech I - Hidden attractors in dynamical systems: From hidden oscillation in Hilbert-Kolmogorov, Aizerman and Kalman problems to …

2012

Summary form only given. In this survey an attempt is made to reflect the current trends in the synthesis of analytical and numerical methods to develop efficient analytical-numerical methods, based on harmonic linearization, applied bifurcation theory and numerical methods, for searching hidden oscillations.

Bifurcation theoryCurrent (mathematics)Dynamical systems theoryControl theoryNumerical analysisAttractorApplied mathematicsKalman filterHidden oscillationMathematicsElectronic circuit2012 Fifth International Workshop on Chaos-fractals Theories and Applications
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