Search results for "fusion"

showing 10 items of 4513 documents

Impact of Destroying the Structure of Model Gels on Volatile Release

2007

International audience; The release of a strawberry aroma from different composite gels taken as models of fruit preparations and from a sucrose solution was investigated. The composition of the model systems differed with regard to the gelling agent, either pectin or carrageenan, and to the rigidity of the gel. With the use of atmospheric pressure chemical ionization−mass spectrometry, the release profiles of the aroma compounds were determined under stirring. At the same time, purge and trap measurements were performed to determine the release profiles of the aroma compounds without stirring. The comparison of the patterns obtained using these two complementary methods made it possible to…

Sucrosefood.ingredientPectinflavor profileMass spectrometry01 natural sciencesFragariachemistry.chemical_compound0404 agricultural biotechnologyfood[CHIM.ANAL]Chemical Sciences/Analytical chemistryrelease rateAroma compound[CHIM]Chemical SciencesstructureCaproatesFlavorAromaChromatographyVolatilisationbiology010401 analytical chemistrydiffusionfood and beveragesAPCI-MS04 agricultural and veterinary sciencesGeneral Chemistrybiology.organism_classification040401 food science0104 chemical sciencesCarrageenanSolutionsAroma release[CHIM.POLY]Chemical Sciences/PolymerschemistryModels ChemicalFruitOdorantsVolatilizationGeneral Agricultural and Biological SciencesVolatility (chemistry)Gels
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Unusual resistive states of multiband superconductors in the effective field theory approach

2020

Starting from the microscopic approach based on multiband Keldysh-Usadel kinetic theory we derive the minimal field-theoretical model equivalent to the time-dependent Ginzburg-Landau theory. We discuss the properties of resistive states determined by the ratio of electric field relaxation length to the superconducting coherence length. In contrast to the well-studied single-band systems we find that this ratio can vary in wide limits in multiband superconductors. As a result, the properties of resistive states in multiband superconductors can be tuned by the microscopic parameters such as the ratio of diffusion coefficients and pairing constants in different bands. As an example we consider…

Superconducting coherence lengthPhysicsSuperconductivityResistive touchscreenCondensed matter physicsCondensed Matter::SuperconductivityPairingElectric fieldEffective field theoryGeneral Physics and AstronomyRelaxation lengthDiffusion (business)EPL (Europhysics Letters)
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Copolymerization of VDF and HFP in Supercritical Carbon Dioxide: A Robust Approach for Modeling Precipitation and Dispersion Kinetics

2011

A kinetic model is developed for the heterogeneous free-radical copolymerization of vinylidene fluoride and hexafluoropropylene in supercritical CO2. The model accounts for polymerization in both the dispersed (polymer-rich) phase and in the continuous (polymer-free) supercritical phase, for radical interphase transport, diffusion limitations, and chain-length-dependent termination in the polymer-rich phase. A parameter evaluation strategy is developed and detailed to estimate most of the kinetic parameters a priori while minimizing their evaluation by direct fitting. The resulting model predictions compare favorably with the experimental results of conversion and MWD at varying monomer fee…

Supercritical carbon dioxideMaterials sciencePolymers and PlasticsGeneral Chemical EngineeringDiffusionThermodynamicsGeneral ChemistrySupercritical fluidchemistry.chemical_compoundchemistryPolymerizationPhase (matter)Polymer chemistryInterphaseHexafluoropropyleneDispersion (chemistry)Macromolecular Reaction Engineering
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Charge-Induced Deformation of the 4He Solid-Superfluid Interface

1984

The interface between solid and superfluid 4He has revealed unusual dynamic properties. Characteristic of this quantum system are the very high thermal conductivity of the superfluid phase, and an extremely small heat of fusion below temperatures of about 1 K. As a result, equilibrium at the solid-superfluid 4He interface is established quite rapidly, which gives rise, e.g., to melting — crystallization waves [1,2] — similar in appearance to surface waves on a free liquid surface — and to anomalous transmission of sound [3].

SuperfluiditySurface tensionThermal conductivityMaterials scienceCondensed matter physicsSurface wavelawEnthalpy of fusionPhase (matter)Quantum systemCrystallizationlaw.invention
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Sympathetic neurons can produce and respond to interleukin 6

1998

Neuronal expression of cytokines is an area of active investigation in the contexts of development, disease, and normal neural function. Although cultured rat sympathetic neurons respond very weakly to exogenous interleukin 6 (IL-6), we find that addition of soluble IL-6 receptor (sIL-6R) and IL-6 enhances neuronal survival in the absence of nerve growth factor. Neutralizing monoclonal antibodies against IL-6 block these effects. Addition of IL-6 and sIL-6R also induces a subset of neuropeptide and transmitter synthetic enzyme mRNAs identical to that demonstrated for leukemia inhibitory factor, ciliary neurotrophic factor, and oncostatin M. Both of these effects are duplicated by addition o…

Superior cervical ganglionmedicine.medical_specialtyCell SurvivalRecombinant Fusion ProteinsSuperior Cervical GanglionCiliary neurotrophic factorPC12 CellsRats Sprague-DawleyMiceParacrine signallingContactinsInternal medicinemedicineAnimalsNerve Growth FactorsRNA MessengerInterleukin 6Autocrine signallingNeural Cell Adhesion MoleculesCells CulturedNeuronsMultidisciplinarybiologyInterleukin-6Neuropeptides3T3 CellsBiological SciencesReceptors Interleukin-6RatsCell biologyAutocrine CommunicationNerve growth factorEndocrinologyAnimals Newbornbiology.proteinNeural cell adhesion moleculeLeukemia inhibitory factorCaltech Library ServicesProceedings of the National Academy of Sciences
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Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (…

2021

Clinical classification models are mostly pathology-dependent and, thus, are only able to detect pathologies they have been trained for. Research is needed regarding pathology-independent classifiers and their interpretation. Hence, our aim is to develop a pathology-independent classifier that provides prediction probabilities and explanations of the classification decisions. Spinal posture data of healthy subjects and various pathologies (back pain, spinal fusion, osteoarthritis), as well as synthetic data, were used for modeling. A one-class support vector machine was used as a pathology-independent classifier. The outputs were transformed into a probability distribution according to Plat…

Support Vector MachineComputer sciencePostureback painTP1-1185BiochemistryspineSynthetic dataArticlebiomechanicsAnalytical ChemistryMachine LearningClassifier (linguistics)Back painmedicineHumansElectrical and Electronic Engineeringddc:796InstrumentationInterpretation (logic)explainable artificial intelligenceOrientation (computer vision)business.industryChemical technologydata miningartificial intelligenceAtomic and Molecular Physics and OpticsSupport vector machineosteoarthritismachine learningBinary classificationspinal fusionProbability distributionArtificial intelligencemedicine.symptombusinessSensors (Basel, Switzerland)
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Optimal gossip algorithm for distributed consensus SVM training in wireless sensor networks

2009

In this paper, we consider the distributed training of a SVM using measurements collected by the nodes of aWireless Sensor Network in order to achieve global consensus with the minimum possible inter-node communications for data exchange. We derive a novel mathematical characterization for the optimal selection of partial information that neighboring sensors should exchange in order to achieve consensus in the network. We provide a selection function which ranks the training vectors in order of importance in the learning process. The amount of information exchange can vary, based on an appropriately chosen threshold value of this selection function, providing a desired trade-off between cla…

Support vector machineStatistical classificationConsensusDistributed algorithmComputer scienceAlgorithm designData miningcomputer.software_genreWireless sensor networkcomputerInformation exchangeFusion center2009 16th International Conference on Digital Signal Processing
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Improvement of multimodal images classification based on DSMT using visual saliency model fusion with SVM

2019

Multimodal images carry available information that can be complementary, redundant information, and overcomes the various problems attached to the unimodal classification task, by modeling and combining these information together. Although, this classification gives acceptable classification results, it still does not reach the level of the visual perception model that has a great ability to classify easily observed scene thanks to the powerful mechanism of the human brain.
  In order to improve the classification task in multimodal image area, we propose a methodology based on Dezert-Smarandache formalism (DSmT), allowing fusing the combined spectral and dense SURF features extracted …

Support vector machineSvm classifierFusionComputer sciencebusiness.industryPattern recognitionArtificial intelligenceVisual saliency modelbusinessSensor fusionVisual saliency
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Island Diffusion on Metal fcc (100) Surfaces

1999

We present Monte Carlo simulations for the size and temperature dependence of the diffusion coefficient of adatom islands on the Cu(100) surface. We show that the scaling exponent for the size dependence is not a constant but a decreasing function of the island size and approaches unity for very large islands. This is due to a crossover from periphery dominated mass transport to a regime where vacancies diffuse inside the island. The effective scaling exponents are in good agreement with theory and experiments.

Surface (mathematics)Condensed Matter - Materials ScienceMaterials scienceCondensed matter physicsPhysicsCrossoverMonte Carlo methodMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeneral Physics and Astronomyfcc(100) surfaceFunction (mathematics)Monte Carlo simulationsadatomAlisland diffusionExponentDiffusion (business)Constant (mathematics)ScalingCuPhysical Review Letters
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Adsorption and diffusion of a molybdenum atom on theTiO2(110)surface: A first-principles study

2007

A study on the structure and energetics of a single molybdenum atom adsorbed on the $\mathrm{Ti}{\mathrm{O}}_{2}(110)$ surface is reported. All possible adsorption sites have been determined. Moreover, it is found that incorporation of the Mo atom into the first surface layer leads to considerably more stable structures than on any adsorption site. Different channels for migration of the molybdenum atom have been identified. The diffusion barriers of these channels have been determined. The results on structure and energetics are discussed by analyzing the electronic properties of the $\mathrm{Mo}∕\mathrm{Ti}{\mathrm{O}}_{2}(110)$ systems.

Surface (mathematics)Materials scienceDiffusionchemistry.chemical_element02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciences0104 chemical sciencesElectronic Optical and Magnetic MaterialsCondensed Matter::Materials ScienceCrystallographyAdsorptionchemistryMolybdenumAtomPhysics::Atomic and Molecular ClustersSurface layerAtomic physics0210 nano-technologyElectronic propertiesPhysical Review B
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