Search results for "GATE"

showing 10 items of 1811 documents

Origin of the Red Sites and Energy Transfer Rates in Single MEH-PPV Chains at Low Temperature

2011

Single poly[2-methoxy-5-(2'-ethyl-hexyloxy)-1,4-phenylene vinylene] (MEH-PPV) molecules dispersed in thin poly(methylmethacrylate) films have been investigated by fluorescence emission, excitation and time-resolved spectroscopy at 1.2 K. For the molecular weight studied (∼200 kDa) a bimodal distribution of emission maxima is observed. Based on a comparison of the spectroscopic properties of blue and red sites and on polarisation-resolved measurements, we argue in agreement with recent quantum-chemical calculations that the red subpopulation most probably does not arise from interchromophoric excitation delocalisation but is to be attributed to longer chromophoric units originating from orde…

education.field_of_studyChemistryPopulationConjugated systemChromophoreFluorescenceAtomic and Molecular Physics and OpticsChemical physicsPolymer chemistryMoleculeEmission spectrumPhysical and Theoretical ChemistrySpectroscopyeducationExcitationChemPhysChem
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Reports of the AAAI 2010 Fall Symposia

2011

The Association for the Advancement of Artificial Intelligence was pleased to present the 2010 Fall Symposium Series, held Thursday through Saturday, November 11-13, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the eight symposia are as follows: (1) Cognitive and Metacognitive Educational Systems; (2) Commonsense Knowledge; (3) Complex Adaptive Systems: Resilience, Robustness, and Evolvability; (4) Computational Models of Narrative; (5) Dialog with Robots; (6) Manifold Learning and Its Applications; (7) Proactive Assistant Agents ; and (8) Quantum Informatics for Cognitive, Social, and Semantic Processes. The highlights of each symposium are presented in this report.

EngineeringCommonsense knowledgebusiness.industryMetacognitionLibrary scienceCognitionGateway (computer program)GeneralLiterature_MISCELLANEOUSArtificial IntelligenceThursdayComputer ScienceNarrativeArtificial intelligenceDialog boxComplex adaptive systembusinessAI Magazine
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Interactions, spillovers de connaissance et croissance des économies modernes. Faut-il préférer la globalisation ou la proximité géographique ?

2009

Globalisation and metropolisation in modern economies induce some locational strategies of knowledge based activities towards cities and deeply increase trade and move of ideas across cities. In that context, we study the way knowledge spillovers have influenced the economic growth of 82 European Metropolises over the 1990-2005 period. We model knowledge spillovers across cities according to three specific interaction patterns depending either on geography or on global advanced services or thought a combination of these patterns. We show that the mixed pattern matters the best for economic growth of cities in Europe.

modern economiesJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsO4JEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressionsurban climate C31JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activityclimat des affaires[ SHS.ECO ] Humanities and Social Sciences/Economies and financesJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity[SHS.ECO] Humanities and Social Sciences/Economics and Financecroissance urbainejel:C31JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and Changes[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesR11R12jel:O4metropolisesmétropolesJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activityurban growthspatial interactionsinteractions spatialesjel:R12jel:R11économies modernesmodern economiesurban growthmetropolisesspatial interactionsurban climate C31O4R11R12croissance urbainemétropolesinteractions spatialesclimat des affaireséconomies modernesJEL : O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity
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Second order optimality conditions with applications

2007

International audience; The aim of this article is to present the algorithm to compute the first conjugate point along a smooth extremal curve. Under generic assump- tions, the tra jectory ceases to be optimal at such a point. An implementation of this algorithm, called cotcot, is available online and based on recent devel- opments in geometric optimal control. It is applied to analyze the averaged optimal transfer of a satellite between elliptic orbits.

conjugate points[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]time optimal control49K15 70Q05Orbital transfer[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Riemannian systems with drift
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Fuzzy Metric Approach to Aggregation of Risk Levels

2019

In this paper we propose a special construction of a general aggregation operator. The construction allows to aggregate fuzzy sets taking into account the distance between elements of the universe. We consider the case when fuzzy sets to be aggregated represent the risk level evaluation by several experts. We describe how the proposed construction could be applied for risk level assessment in the case when a strong fuzzy metric is used to characterize the similarity of objects under evaluation.

Risk levelTheoretical computer scienceOperator (computer programming)Similarity (network science)Computer scienceMetric (mathematics)Fuzzy setAggregate (data warehouse)Fuzzy logic
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1H nmr chemical shifts of [14]annulenes and their dianion salts

1987

Abstract The bridged (14]annulene 2 was reduced into its dianion and the structure of the dianion salt was proven by chemical and spectroscopic means. The 1H NMR spectroscopic properties of 2 are similar to those of the structurally related bridged [14]annulene 1 , whereas the corresponding dianions 2 2- and 1 2- are strikingly different. The geometries of 1 and 2 and their dianions were studied by means of a modified π-SCF force field approach. Almost planar perimeters without significant bond length alternation are obtained for the neutral annulenes 1 and 2 , whereas their dianions are characterized by structures with reduced symmetry. The 1H chemical shifts of the bridged [14]annulenes a…

Electronic correlationChemistryStereochemistryChemical shiftOrganic ChemistryCharge densityNuclear magnetic resonance spectroscopyAnnuleneConjugated systemBiochemistryCrystallographyDrug DiscoveryProton NMRMoleculeTetrahedron
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Glycoconjugate expression in the extracellular matrix of the mouse lung (87.7)

2014

Extracellular matrixchemistry.chemical_classificationchemistryGlycoconjugateGeneticsMouse LungMolecular BiologyBiochemistryBiotechnologyCell biologyThe FASEB Journal
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Multilayer neural networks: an experimental evaluation of on-line training methods

2004

Artificial neural networks (ANN) are inspired by the structure of biological neural networks and their ability to integrate knowledge and learning. In ANN training, the objective is to minimize the error over the training set. The most popular method for training these networks is back propagation, a gradient descent technique. Other non-linear optimization methods such as conjugate directions set or conjugate gradient have also been used for this purpose. Recently, metaheuristics such as simulated annealing, genetic algorithms or tabu search have been also adapted to this context.There are situations in which the necessary training data are being generated in real time and, an extensive tr…

Training setGeneral Computer ScienceArtificial neural networkbusiness.industryComputer scienceComputer Science::Neural and Evolutionary ComputationMathematicsofComputing_NUMERICALANALYSISContext (language use)Management Science and Operations ResearchMachine learningcomputer.software_genreBackpropagationTabu searchModeling and SimulationConjugate gradient methodGenetic algorithmSimulated annealingArtificial intelligencebusinessGradient descentcomputerMetaheuristicComputers & Operations Research
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Comparative evaluation of molecular methods for the quantitative measure of torquetenovirus (TTV) viremia, the new surrogate marker of immune compete…

2019

Background Torquetenovirus (TTV) viremia is emerging as a promising tool to assess functional immune competence, to predict posttransplant immune-related complications, and eventually to customize immunosuppression. Methods In this study, 327 blood samples were tested using two real-time PCR (rtPCR) assays both targeted to the untranslated region of the TTV genome. The first assay was an in-house rtPCR developed by our group, the second one was the recently marketed TTV R-GENE assay. Results In the validation study, the TTV R-GENE showed good performances in precision and reproducibility, and sensitivity as low as 12 TTV DNA copies/mL, like previously reported for the in-house rtPCR. The Bl…

Concordancedigital droplet PCR; methods comparison; real-time PCR; torquetenovirusViremiaTTVBiologyReal-Time Polymerase Chain ReactionComparative evaluation03 medical and health sciencesTTV; digital droplet PCR; methods comparison; real-time PCR0302 clinical medicineImmune systemVirologymedicineHumans030212 general & internal medicineViremiaDigital droplet pcrTorque teno virusSurrogate endpointReproducibility of Resultsmedicine.diseaseVirologyDNA Virus InfectionsQuantitative measuretorquetenovirusInfectious DiseasesReal-time polymerase chain reactionCase-Control StudiesDNA Viral030211 gastroenterology & hepatologyreal-time PCRImmunocompetencedigital droplet PCRBiomarkersmethods comparison
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An FPGA-based design for real-time Super Resolution Reconstruction

2018

Since several decades, the camera spatial resolution is gradually increasing with the CMOS technology evolution. The image sensors provide more and more pixels, generating new constraints for the suitable optics. As an alternative, promising solutions propose Super Resolution (SR) image reconstruction to extend the image size without modifying the sensor architecture. Convincing state-of art studies demonstrate that these methods could even be implemented in real-time. Nevertheless, artifacts can be observed in highly textured areas of the image. In this paper, we propose a Local Adaptive Spatial Super Resolution (LASSR) method to fix this limitation. A real-time texture analysis is include…

PixelComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technologyIterative reconstructionImage (mathematics)CMOSImage texture0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceImage sensorField-programmable gate arraybusinessImage resolution[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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