Search results for "41"

showing 10 items of 3365 documents

Innovative “Green” and Novel Strategies for the Extraction of Bioactive Added Value Compounds from Citrus Wastes—A Review

2017

Citrus is a major processed crop that results in large quantities of wastes and by-products rich in various bioactive compounds such as pectins, water soluble and insoluble antioxidants and essential oils. While some of those wastes are currently valorised by various technologies (yet most are discarded or used for feed), effective, non-toxic and profitable extraction strategies could further significantly promote the valorisation and provide both increased profits and high quality bioactives. The present review will describe and summarize the latest works concerning novel and greener methods for valorisation of citrus by-products. The outcomes and effectiveness of those technologies such a…

CitrusPharmaceutical Sciencecitrus wastes ; ultrasound ; pulsed electric fields ; microwaves ; high pressure ; supercritical CO2ReviewGarbageCitrus wastes; High pressure; Microwaves; Pulsed electric fields; Supercritical CO2; Ultrasound; Citrus; Fruit; Garbage; Green Chemistry Technology; Plant Extracts; Waste Products; Organic ChemistrymicrowavesLower energysupercritical CO2Analytical Chemistrylcsh:QD241-4410404 agricultural biotechnologylcsh:Organic chemistryDrug DiscoveryAdded valuePhysical and Theoretical ChemistryConventional techniqueWaste Products2. Zero hungercitrus wastesPlant Extractsultrasoundbusiness.industryOrganic ChemistryExtraction (chemistry)food and beveragesGreen Chemistry Technology04 agricultural and veterinary sciences040401 food scienceBiotechnologyhigh pressureWater solublepulsed electric fieldsChemistry (miscellaneous)FruitHigh pressureMolecular MedicineEnvironmental scienceBiochemical engineeringValorisationbusinessMolecules
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Volatile Compounds of Lemon and Grapefruit IntegroPectin

2020

An HS-SPME GC-MS analysis of the volatile compounds adsorbed at the outer surface of lemon and grapefruit pectins obtained via the hydrodynamic cavitation of industrial waste streams of lemon and grapefruit peels in water suggests important new findings en route to understanding the powerful and broad biological activity of these new pectic materials. In agreement with the ultralow degree of esterification of these pectins, the high amount of highly bioactive &alpha

Citrusfood.ingredientPectinlemonPhytochemicalsPharmaceutical SciencegrapefruitArticleIndustrial wasteGas Chromatography-Mass SpectrometryAnalytical Chemistrylcsh:QD241-441chemistry.chemical_compoundAdsorptionfoodLinaloolCitrus paradisilcsh:Organic chemistryDrug Discoveryhydrodynamic cavitation?-terpineolFood sciencePhysical and Theoretical ChemistryIntegroPectinpectinResidue (complex analysis)LimoneneVolatile Organic CompoundsMolecular Structureapplied_chemistryOrganic Chemistrycircular economywaste citrus peelBiosynthetic PathwaysTerpineolchemistryChemistry (miscellaneous)FruitMolecular Medicineα-terpineolGas chromatography–mass spectrometryCitric acidCitrus paradisi
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Justifying Civic Activism in Russia and Finland

2013

ABSTRACTIn this article, we present a novel way of researching civil society in a comparative perspective and illustrate it through a detailed analysis of public disputes concerning urban building construction projects in St. Petersburg and Helsinki in 2008–2009. In our illustration, we use justification theory, a line of thought developed by Luc Boltanski and Laurent Thevenot in the early 1990s, but until now little used in comparative civil society research. Moreover, we use a variant of Public Justification Analysis, a new method for analysing media data. Our focus is on moral justifications, that is, on arguments which are presented against or in favour of the proposed projects and whic…

Civil societySociology and Political ScienceInclusion (disability rights)LawInternational comparisonsta5141Political cultureSociologyComparative perspectiveUrban buildingLaw and economicsJournal of Civil Society
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State-feedback sampled-data control design for nonlinear systems via passive theory

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/230413 Open Access This paper investigates the problem of passive controller design for a class of nonlinear systems under variable sampling. The Takagi-Sugeno (T-S) fuzzy modeling method is utilized to represent the nonlinear systems. Attention is focused on the design of passive controller for the T-S fuzzy systems via sampled-data control approach. Under the concept of very-strict passivity, a novel time-dependent Lyapunov functional is constructed to develop passive analysis criteria and passive controller synthesis conditions. A new …

Class (computer programming)EngineeringArticle Subjectbusiness.industrylcsh:MathematicsGeneral MathematicsPassivityGeneral EngineeringControl engineeringFuzzy control systemlcsh:QA1-939Fuzzy logicNonlinear systemlcsh:TA1-2040Control theoryConvex optimizationState (computer science)VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411lcsh:Engineering (General). Civil engineering (General)business
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Oscillatory Behavior of Second-Order Nonlinear Neutral Differential Equations

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/143614 Open Access We study oscillatory behavior of solutions to a class of second-order nonlinear neutral differential equations under the assumptions that allow applications to differential equations with delayed and advanced arguments. New theorems do not need several restrictive assumptions required in related results reported in the literature. Several examples are provided to show that the results obtained are sharp even for second-order ordinary differential equations and improve related contributions to the subject.

Class (set theory)Article SubjectDifferential equationlcsh:MathematicsApplied MathematicsDelay differential equationlcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Integrating factorExamples of differential equationsStochastic partial differential equationNonlinear systemOrdinary differential equationCalculusApplied mathematicsAnalysisMathematicsAbstract and Applied Analysis
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Asymptotic Behavior of Higher-Order Quasilinear Neutral Differential Equations

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/395368 Open Access We study asymptotic behavior of solutions to a class of higher-order quasilinear neutral differential equations under the assumptions that allow applications to even- and odd-order differential equations with delayed and advanced arguments, as well as to functional differential equations with more complex arguments that may, for instance, alternate indefinitely between delayed and advanced types. New theorems extend a number of results reported in the literature. Illustrative examples are presented.

Class (set theory)Article SubjectDifferential equationlcsh:MathematicsApplied MathematicsMathematical analysisDelay differential equationlcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Stochastic partial differential equationExamples of differential equationsOrder (group theory)Neutral differential equationsAnalysisMathematics
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Model approximation for two-dimensional Markovian jump systems with state-delays and imperfect mode information

2014

Published version of an article in the journal: Multidimensional Systems and Signal Processing. Also available from the publisher at: http://dx.doi.org/10.1007/s11045-013-0276-x This paper is concerned with the problem of {Mathematical expression} model approximation for a class of two-dimensional (2-D) discrete-time Markovian jump linear systems with state-delays and imperfect mode information. The 2-D system is described by the well-known Fornasini-Marchesini local state-space model, and the imperfect mode information in the Markov chain simultaneously involves the exactly known, partially unknown and uncertain transition probabilities. By using the characteristics of the transition proba…

Class (set theory)Mathematical optimizationMarkov chainmodel approximationApplied Mathematicstwo-dimensional systemsMarkovian jump systemsRegular polygonMode (statistics)imperfect mode informationState (functional analysis)VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Computer Science ApplicationsMarkovian jumpMarkovian jump linear systemsArtificial IntelligenceHardware and ArchitectureSignal ProcessingApplied mathematicsstate-delaysImperfectSoftwareInformation SystemsMathematics
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On the asymptotic behavior of solutions to a class of third-order nonlinear neutral differential equations

2020

Abstract By using comparison principles, we analyze the asymptotic behavior of solutions to a class of third-order nonlinear neutral differential equations. Due to less restrictive assumptions on the coefficients of the equation and on the deviating argument τ , our criteria improve a number of related results reported in the literature.

Class (set theory)Nonlinear systemThird order nonlinearArgumentApplied MathematicsApplied mathematicsNeutral differential equationsVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410MathematicsApplied Mathematics Letters
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A new paradigm for pattern classification: Nearest Border Techniques

2013

Published version of a chapter in the book: AI 2013: Advances in Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-319-03680-9_44 There are many paradigms for pattern classification. As opposed to these, this paper introduces a paradigm that has not been reported in the literature earlier, which we shall refer to as the Nearest Border (NB) paradigm. The philosophy for developing such a NB strategy is as follows: Given the training data set for each class, we shall first attempt to create borders for each individual class. After that, we advocate that testing is accomplished by assigning the test sample to the class whose border it lies closest to…

Class (set theory)Training setPattern ClassificationComputer sciencebusiness.industrySVMVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422Centroid02 engineering and technology01 natural sciencesVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Support vector machine010104 statistics & probabilityExperimental testingOutlier0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligence0101 mathematics10. No inequalitySet (psychology)businessTest sampleBorder Identification
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Regularized Regression Incorporating Network Information: Simultaneous Estimation of Covariate Coefficients and Connection Signs

2014

We develop an algorithm that incorporates network information into regression settings. It simultaneously estimates the covariate coefficients and the signs of the network connections (i.e. whether the connections are of an activating or of a repressing type). For the coefficient estimation steps an additional penalty is set on top of the lasso penalty, similarly to Li and Li (2008). We develop a fast implementation for the new method based on coordinate descent. Furthermore, we show how the new methods can be applied to time-to-event data. The new method yields good results in simulation studies concerning sensitivity and specificity of non-zero covariate coefficients, estimation of networ…

Clustering high-dimensional databusiness.industryjel:C41jel:C13Machine learningcomputer.software_genreRegressionhigh-dimensional data gene expression data pathway information penalized regressionConnection (mathematics)Set (abstract data type)Lasso (statistics)CovariateArtificial intelligenceSensitivity (control systems)businessCoordinate descentAlgorithmcomputerMathematics
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