Search results for "anger"

showing 10 items of 929 documents

La sentence confrontée à sa traduction

2017

International audience; (Civ. 1re, 14 janvier 2015, n° 13-20.350, RSCC c/ Orion, Bull. I, n° 1 ; Civ. 1re, 7 octobre 2015, n° 14-17.490, André X c/ Soc. Dakin International Limited, inédit, Rev. sociétés 2016. 384, note B. Le Bars)

Arbitrage international[SHS.DROIT]Humanities and Social Sciences/Law[SHS.DROIT] Humanities and Social Sciences/LawExequatur en FranceARBITRAGESentence rendue à l'étrangerRecours
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Arbitrage international. Sentence rendue à l'étranger, Exequatur demandé en France, Compétence territoire, Absence de règles spécifiques, Choix par l…

1994

International audience; (Paris, 10 juill. 1992, Rev. arb. 1994. 142, note P. Level)

Arbitrage international[SHS.DROIT]Humanities and Social Sciences/Law[SHS.DROIT] Humanities and Social Sciences/LawExequaturARBITRAGESentence rendue à l'étrangerCompétence territoriale
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Une sentence rendue à l'étranger est exécutoire en France même si elle n'est pas devenue définitive dans le pays d'origine, et cela nonobstant les di…

2003

International audience; (Paris, 1re ch. C, 10 oct. 2002, Cleroco c/ Cavaterra et autres, inédit)

Arbitrage international[SHS.DROIT]Humanities and Social Sciences/Law[SHS.DROIT] Humanities and Social Sciences/LawExécution en FranceARBITRAGESentence arbitraleSentence rendue à l'étranger
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Factors influencing the distribution, abundance and nest-site selection of an endangered Egyptian vulture (Neophron percnopterus) population in Sicily

2003

Egyptian vulture (Neophrom percnopterus) breeds in Sicily and, in 22 years of monitoring, has shown a decline followed by a slight recovery. We used Generalised Linear Models to predict: (1) the distribution range, (2) the habitat selection within the range, (3) the quality (i.e., occupation rate, breeding success) of breeding sites. Some 60% of Sicily proved to be unsuitable, being either too densely forested and without cliffs for nesting, or too densely populated, along with intensive agriculture. The models converged, indicating that the pairs select a precise upland habitat where low cliffs, distant from urban areas, are surrounded by arboreal crops and Mediterranean vegetation. The va…

Arboreal locomotioneducation.field_of_studyEcologybiologyRange (biology)EcologyPopulationSettore BIO/05 - ZoologiaEndangered speciesGeographyHabitatbiology.animalGrazingvulnerable species necrophagous Mediterranean islands GLM feeding stations vulture reintroductionNeophron percnopteruseducationNature and Landscape ConservationVultureAnimal Conservation
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Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators

2021

One of the most challenging problems in the study of complex dynamical systems is to find the statistical interdependencies among the system components. Granger causality (GC) represents one of the most employed approaches, based on modeling the system dynamics with a linear vector autoregressive (VAR) model and on evaluating the information flow between two processes in terms of prediction error variances. In its most advanced setting, GC analysis is performed through a state-space (SS) representation of the VAR model that allows to compute both conditional and unconditional forms of GC by solving only one regression problem. While this problem is typically solved through Ordinary Least Sq…

Artificial neural networks; Chaotic oscillators; Granger causality; Multivariate time series analysis; Network physiology; Penalized regression techniques; Remote synchronization; State-space models; Stochastic gradient descent L1; Vector autoregressive modelGeneral Computer ScienceDynamical systems theoryComputer science02 engineering and technologyChaotic oscillatorsPenalized regression techniquesNetwork topologySettore ING-INF/01 - ElettronicaMultivariate time series analysisVector autoregression03 medical and health sciences0302 clinical medicineScientific Computing and Simulation0202 electrical engineering electronic engineering information engineeringRepresentation (mathematics)Optimization Theory and ComputationNetwork physiologyState-space modelsArtificial neural networkArtificial neural networksData ScienceTheory and Formal MethodsQA75.5-76.95Stochastic gradient descent L1Granger causality State-space models Vector autoregressive model Artificial neural networks Stochastic gradient descent L1 Multivariate time series analysis Network physiology Remote synchronization Chaotic oscillators Penalized regression techniquesRemote synchronizationStochastic gradient descentAutoregressive modelAlgorithms and Analysis of AlgorithmsVector autoregressive modelElectronic computers. Computer scienceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causality020201 artificial intelligence & image processingGradient descentAlgorithm030217 neurology & neurosurgeryPeerJ Computer Science
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Predictability decomposition detects the impairment of brain-heart dynamical networks during sleep disorders and their recovery with treatment

2016

This work introduces a framework to study the network formed by the autonomic component of heart rate variability (cardiac process η ) and the amplitude of the different electroencephalographic waves (brain processes δ , θ , α , σ , β ) during sleep. The framework exploits multivariate linear models to decompose the predictability of any given target process into measures of self-, causal and interaction predictability reflecting respectively the information retained in the process and related to its physiological complexity, the information transferred from the other source processes, and the information modified during the transfer according to redundant or synergistic interaction betwee…

Autonomic nervous system; Brain-heart interactions; Delta sleep electroencephalogram; Granger causality; Heart rate variability; Synergy and redundancy; Mathematics (all); Engineering (all); Physics and Astronomy (all)General MathematicsGeneral Physics and AstronomyElectroencephalography01 natural sciencesSynergy and redundancy03 medical and health sciencesPhysics and Astronomy (all)0302 clinical medicineEngineering (all)0103 physical sciencesMedicineHeart rate variabilityAutonomic nervous systemMathematics (all)Predictability010306 general physicsHeart rate variabilityCardiac processmedicine.diagnostic_testbusiness.industryGeneral EngineeringHealthy subjectsBrainArticlesAutonomic nervous systemDelta sleep electroencephalogramSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityBrain-heart interactionSleep (system call)businessNeuroscience030217 neurology & neurosurgery
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THERMAL-HYDRAULIC STUDY IN SUPPORT OF THE DESIGN OF THE DEMO BALANCE OF PLANT

2020

The European Research Roadmap to the Realisation of Fusion Energy, foresees that the Demonstration Fusion Power Reactor (DEMO) is going to be the successor of ITER reactor in the pathway towards the exploitation of nuclear fusion to produce electric energy on an industrial scale. It will, hence, have to deliver hundreds MW of electric power ensuring an adequate availability and reliability of operation over a reasonable time span. EU-DEMO pre-conceptual design is being conducted by research institutions and universities from 26 countries of European Union, Switzerland and Ukraine, with the main aim to provide electric energy to the grid from nuclear fusion reactions by 2050. However, where …

Balance of PlantHeat ExchangerANSYS-CFXThermal-HydraulicRELAP5-3DDEMOSettore ING-IND/19 - Impianti Nucleari
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Pre-conceptual design of EU-DEMO Divertor primary heat transfer systems

2021

Abstract In the frame of the activities promoted and encouraged by the EUROfusion Power Plant Physics and Technology (PPPT) department aimed at developing the EU-DEMO fusion reactor, strong emphasis has been recently addressed to the whole Balance of Plant (BoP) which represents the set of systems devoted to convert the plasma generated thermal power into electricity and to deliver it to the grid. Among these systems, the Divertor Primary Heat Transfer Systems (PHTSs) are intended to feed coolant to the two main components of the Divertor assembly, namely the Plasma Facing Components (PFCs) and the Cassette Body (CB). Since the DEMO Divertor must withstand high heat flux loads together with…

Balance of plantPower stationMechanical EngineeringNuclear engineeringDivertorThermal power stationBlanketFusion power01 natural sciences010305 fluids & plasmasCoolantDivertorNuclear Energy and EngineeringConceptual design0103 physical sciencesHeat exchangerPHTSGeneral Materials Science010306 general physicsDEMOSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringFusion Engineering and Design
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IsBattarrea phalloidesreally an endangered species?

2020

Battarrea phalloides (Basidiomycota), a fungus included in many Red Lists worldwide, requires verification of its real conservation status. One of the main problems in the assessment of fungal spec...

Battarrea phalloidesbiologyEcologyEcology (disciplines)Endangered speciesIUCN Red ListConservation statusPlant Sciencebiology.organism_classificationEcology Evolution Behavior and SystematicsPlant Biosystems - An International Journal Dealing with all Aspects of Plant Biology
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Assessment of Granger causality by nonlinear model identification: application to short-term cardiovascular variability.

2007

A method for assessing Granger causal relationships in bivariate time series, based on nonlinear autoregressive (NAR) and nonlinear autoregressive exogenous (NARX) models is presented. The method evaluates bilateral interactions between two time series by quantifying the predictability improvement (PI) of the output time series when the dynamics associated with the input time series are included, i.e., moving from NAR to NARX prediction. The NARX model identification was performed by the optimal parameter search (OPS) algorithm, and its results were compared to the least-squares method to determine the most appropriate method to be used for experimental data. The statistical significance of…

Biomedical EngineeringBlood PressureBivariate analysisDirectionalitySensitivity and SpecificitySurrogate dataFeedbackNonlinear parametric modelGranger causalityControl theoryHeart RateOptimal parameter searchStatisticsAnimalsHumansComputer SimulationPredictabilityHeart rate variabilityMathematicsNonlinear autoregressive exogenous modelCardiovascular regulationSystem identificationModels CardiovascularNonlinear systemAutoregressive modelNonlinear DynamicsAutoregressive exogenous modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaRegression AnalysisSurrogate dataArterial pressure variabilityAlgorithmsAnnals of biomedical engineering
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