Search results for "Ocean engineering"

showing 10 items of 404 documents

Cell-Free Coelomic Fluid Extracts of the Sea Urchin Arbacia lixula Impair Mitochondrial Potential and Cell Cycle Distribution and Stimulate Reactive …

2020

Triple-negative breast cancer (TNBC) is a highly malignant tumor histotype which lacks effective targeted therapies, thereby being considered as the most aggressive form of breast carcinoma. To identify novel compounds which could counteract TNBC cell growth, we explored the in vitro effects of crude extracts and &lt

CellSettore BIO/05 - ZoologiaOcean Engineering03 medical and health scienceslcsh:Oceanography0302 clinical medicinebreast cancerlcsh:VM1-989biology.animalmedicineViability assaylcsh:GC1-1581Settore BIO/06 - Anatomia Comparata E CitologiaArbacia lixulaSea urchin030304 developmental biologyWater Science and TechnologyCivil and Structural Engineeringchemistry.chemical_classification0303 health sciencesReactive oxygen speciesbiologylcsh:Naval architecture. Shipbuilding. Marine engineeringCell cyclebiology.organism_classificationechinodermmedicine.anatomical_structurechemistryApoptosis030220 oncology & carcinogenesisCancer researchcytotoxicityBreast carcinomaJournal of Marine Science and Engineering
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Preparation of synthetic sandstones with variable cementation for studying the physical properties of granular rocks

1997

In this article, we report a new set of procedures to fabricate synthetic analogues of granular rocks. These procedures permit accurate control of the most important structural parameters (i.e., grain size, porosity, cement content). We were thus able to prepare two varieties of synthetic sandstones in which only the cement content significantly varied. Our procedures were also particularly successful in producing materials that were very similar to natural rocks. To demonstrate this similarity, we compared the microstructure, the mechanical properties (i.e., strength, elastic moduli) and the mechanical behaviour (i.e., brittle or ductile) of the synthetic materials to those of various natu…

CementBrittlenessClastic rockCompactionMineralogyOcean EngineeringComposite materialCementation (geology)PorosityGranular materialEcology Evolution Behavior and SystematicsGrain sizeGeologyComptes Rendus de l'Académie des Sciences - Series IIA - Earth and Planetary Science
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On the use of fractional calculus for the probabilistic characterization of random variables

2009

In this paper, the classical problem of the probabilistic characterization of a random variable is re-examined. A random variable is usually described by the probability density function (PDF) or by its Fourier transform, namely the characteristic function (CF). The CF can be further expressed by a Taylor series involving the moments of the random variable. However, in some circumstances, the moments do not exist and the Taylor expansion of the CF is useless. This happens for example in the case of $\alpha$--stable random variables. Here, the problem of representing the CF or the PDF of random variables (r.vs) is examined by introducing fractional calculus. Two very remarkable results are o…

Characteristic function (probability theory)FOS: Physical sciencesAerospace EngineeringMathematics - Statistics TheoryOcean EngineeringProbability density functionComplex order momentStatistics Theory (math.ST)Fractional calculusymbols.namesakeIngenieurwissenschaftenFOS: MathematicsTaylor seriesApplied mathematicsCharacteristic function serieMathematical PhysicsCivil and Structural EngineeringMathematicsGeneralized Taylor serieMechanical EngineeringStatistical and Nonlinear PhysicsProbability and statisticsMathematical Physics (math-ph)Condensed Matter PhysicsFractional calculusFourier transformNuclear Energy and EngineeringPhysics - Data Analysis Statistics and ProbabilitysymbolsFractional calculus; Generalized Taylor series; Complex order moments; Fractional moments; Characteristic function series; Probability density function seriesddc:620Series expansionFractional momentProbability density function seriesSettore ICAR/08 - Scienza Delle CostruzioniRandom variableData Analysis Statistics and Probability (physics.data-an)
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Path integral solution for non-linear system enforced by Poisson White Noise

2008

Abstract In this paper the response in terms of probability density function of non-linear systems under Poisson White Noise is considered. The problem is handled via path integral (PI) solution that may be considered as a step-by-step solution technique in terms of probability density function. First the extension of the PI to the case of Poisson White Noise is derived, then it is shown that at the limit when the time step becomes an infinitesimal quantity the Kolmogorov–Feller (K–F) equation is fully restored enforcing the validity of the approximations made in obtaining the conditional probability appearing in the Chapman Kolmogorov equation (starting point of the PI). Spectral counterpa…

Characteristic function (probability theory)Mechanical EngineeringMathematical analysisFokker-Planck equationAerospace EngineeringConditional probabilityKolmogorov-Feller eqautionOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionWhite noiseCondensed Matter PhysicsPoisson distributionPath Integral Solutionsymbols.namesakeNuclear Energy and EngineeringPath integral formulationsymbolsFokker–Planck equationSettore ICAR/08 - Scienza Delle CostruzioniChapman–Kolmogorov equationCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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A method for the probabilistic analysis of nonlinear systems

1995

Abstract The probabilistic description of the response of a nonlinear system driven by stochastic processes is usually treated by means of evaluation of statistical moments and cumulants of the response. A different kind of approach, by means of new quantities here called Taylor moments, is proposed. The latter are the coefficients of the Taylor expansion of the probability density function and the moments of the characteristic function too. Dual quantities with respect to the statistical cumulants, here called Taylor cumulants, are also introduced. Along with the basic scheme of the method some illustrative examples are analysed in detail. The examples show that the proposed method is an a…

Characteristic function (probability theory)Stochastic processMechanical EngineeringAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionCondensed Matter Physicssymbols.namesakeNonlinear systemNuclear Energy and EngineeringTaylor seriessymbolsCalculusApplied mathematicsProbabilistic analysis of algorithmsCumulantCivil and Structural EngineeringMathematicsTaylor expansions for the moments of functions of random variables
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Probabilistic response of nonlinear systems under combined normal and Poisson white noise via path integral method

2011

In this paper the response in terms of probability density function of nonlinear systems under combined normal and Poisson white noise is considered. The problem is handled via a Path Integral Solution (PIS) that may be considered as a step-by-step solution technique in terms of probability density function. A nonlinear system under normal white noise, Poissonian white noise and under the superposition of normal and Poisson white noise is performed through PIS. The spectral counterpart of the PIS, ruling the evolution of the characteristic functions is also derived. It is shown that at the limit when the time step becomes an infinitesimal quantity an equation ruling the evolution of the pro…

Characteristic function (probability theory)Stochastic resonanceMechanical EngineeringMathematical analysisShot noiseAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionWhite noiseCondensed Matter PhysicsPoisson distributionsymbols.namesakeNormal white noise Poisonian white noise combined white noisesAdditive white Gaussian noiseNuclear Energy and EngineeringGaussian noisesymbolsSettore ICAR/08 - Scienza Delle CostruzioniCivil and Structural EngineeringMathematics
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Modelling the Reverse ElectroDialysis process with seawater and concentrated brines

2012

Technologies for the exploitation of renewable energies have been dramatically increasing in number, complexity and type of source adopted. Among the others, the use of saline gradient power is one of the latest emerging possibilities, related to the use of the osmotic/chemical potential energy of concentrated saline solutions. Nowadays, the fate of this renewable energy source is intrinsically linked to the development of the pressure retarded osmosis and reverse electrodialysis technologies. In the latter, the different concentrations of two saline solutions is used as a driving force for the direct production of electricity within a stack very similar to the conventional electrodialysis …

Chemical potentialSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciSettore ING-IND/25 - Impianti Chimici020209 energyOcean Engineering02 engineering and technology7. Clean energyModellingSaline gradient powerSaline gradient power; Reverse electrodialysis; Modelling; Multi-scale; gPROMSStack (abstract data type)Reversed electrodialysisReverse electrodialysi0202 electrical engineering electronic engineering information engineeringOsmotic powergPROMSMulti-scaleWater Science and Technologybusiness.industryChemistryPressure-retarded osmosisEnvironmental engineeringElectrodialysis021001 nanoscience & nanotechnologyPollution6. Clean waterRenewable energySeawater0210 nano-technologybusinessDesalination and Water Treatment
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Identification of stiffness, dissipation and input parameters of multi degree of freedom civil systems under unmeasured base excitations

2009

A time domain dynamic identification technique based on a statistical moment approach has been formulated for civil systems under base random excitations in the linear state. This technique is based on the use of classically damped models characterized by a mass proportional damping. By applying the Itô stochastic calculus, special algebraic equations that depend on the statistical moments of the response can be obtained. These equations can be used for the dynamic identification of the mechanical parameters that define the structural model, in the case of unmeasured input as well, and the identification of the input itself. Furthermore, the above equations demonstrate the possibility of id…

Civil structureLinear modelMechanical EngineeringStochastic calculusSystem identificationLinear modelAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsWhite noiseCondensed Matter PhysicsParameter identification problemMoment (mathematics)Settore ICAR/09 - Tecnica Delle CostruzioniAlgebraic equationMass proportional dampingNuclear Energy and EngineeringControl theoryApplied mathematicsRandom vibrationTime domainSystem identificationSettore ICAR/08 - Scienza Delle CostruzioniCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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An output-only stochastic parametric approach for the identification of linear and nonlinear structures under random base excitations: Advances and c…

2014

In this paper a time domain output-only Dynamic Identification approach for Civil Structures (DICS) first formulated some years ago is reviewed and presented in a more generalized form. The approach in question, suitable for multi- and single-degrees-of-freedom systems, is based on the statistical moments and on the correlation functions of the response to base random excitations. The solving equations are obtained by applying the Itô differential stochastic calculus to some functions of the response. In the previous version ([21] Cavaleri, 2006; [22] Benfratello et al., 2009), the DICS method was based on the use of two classes of models (Restricted Potential Models and Linear Mass Proport…

Civil structureMathematical optimizationBase excitationGeneralizationMechanical EngineeringSystem identificationStochastic calculusAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsWhite noiseWhite noiseCondensed Matter PhysicsNonlinear systemSettore ICAR/09 - Tecnica Delle CostruzioniNuclear Energy and EngineeringNonlinear stiffneApplied mathematicsNonlinear dampingTime domainSystem identificationCivil and Structural EngineeringMathematicsParametric statisticsEquation solving
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Positivity, complex FIOs, and Toeplitz operators

2018

International audience; We establish a characterization of complex linear canonical transformations that are positive with respect to a pair of strictly plurisubharmonic quadratic weights. As an application, we show that the boundedness of a class of Toeplitz operators on the Bargmann space is implied by the boundedness of their Weyl symbols.

Class (set theory)Pure mathematicsFourier integral operator in the complex domainPrimary: 32U05 32W25 35S30 47B35 70H1570H15Mathematics::Classical Analysis and ODEsOcean EngineeringCharacterization (mathematics)32U05 32W25 35S30 47B35 70H15Space (mathematics)01 natural sciencesMathematics - Analysis of PDEsQuadratic equation0103 physical sciencesFOS: Mathematics0101 mathematics[MATH]Mathematics [math]MathematicsMathematics::Functional Analysispositive canonical transformationMathematics::Complex Variables32U0532W25010102 general mathematicsToeplitz matrixFunctional Analysis (math.FA)Mathematics - Functional Analysis35S30Toeplitz operatorpositive Lagrangian plane010307 mathematical physicsstrictly plurisubharmonic quadratic form47B35Analysis of PDEs (math.AP)Toeplitz operator
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