Search results for "optimal"

showing 10 items of 706 documents

Electrocoagulation treatment of peat bog drainage water containing humic substances

2015

Abstract Electrocoagulation (EC) treatment of 100 mg/L synthetic wastewater (SWW) containing humic acids was optimized (achieving 90% CODMn and 80% DOC removal efficiencies), after which real peat bog drainage waters (PBDWs) from three northern Finnish peat bogs were also treated. High pollutant removal efficiencies were achieved: Ptot, TS, and color could be removed completely, while Ntot, CODMn, and DOC/TOC removal efficiencies were in the range of 33–41%, 75–90%, and 62–75%, respectively. Al and Fe performed similarly as the anode material. Large scale experiments (1 m3) using cold (T = 10–11 °C) PBDWs were also conducted successfully, with optimal treatment times of 60–120 min (applying…

Environmental EngineeringPeatmedicine.medical_treatmentColorIndustrial WasteWastewaterWaste Disposal FluidElectrolysisElectrocoagulationWater PurificationSoilmedicineDrainageOperational costsWaste Management and DisposalBogFinlandHumic SubstancesWater Science and TechnologyCivil and Structural EngineeringBiological Oxygen Demand AnalysisPollutantgeographygeography.geographical_feature_categoryChemistryEcological ModelingOptimal treatmentEnvironmental engineeringPollutionWastewaterEnvironmental chemistryWater Pollutants ChemicalWater Research
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Knowledge Mapping of Optimal Taxation Studies: A Bibliometric Analysis and Network Visualization

2022

The problem of tax policy design has been an important concern over the years, involving comprehensive scientific research. In this study, our major goal was to examine and map the optimal taxation research thematic structure by using bibliometric analysis. The analysis was carried out with the CiteSpace software on publications indexed by Web of Science (WoS) between 1975 and 2021. This document offers an actual bibliometric analysis of the current research climate in terms of optimal taxation, based on the following aspects: (1) descriptive characteristics of publication outputs (distribution by years, authors, countries, journals); (2) collaboration analysis of authors, institutions, and…

Environmental effects of industries and plantsbibliometric analysis; optimal taxation; tax optimization; CiteSpaceRenewable Energy Sustainability and the EnvironmentGeography Planning and DevelopmentTJ807-830tax optimizationManagement Monitoring Policy and Lawoptimal taxationCiteSpaceTD194-195Renewable energy sourcesEnvironmental sciencesbibliometric analysisGE1-350Sustainability; Volume 14; Issue 2; Pages: 1043
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An oxygen monitoring and control system inside a malaxation machine to improve extra virgin olive oil quality

2013

In recent years, oxygen content regulation during malaxation has been noted as a process parameter. The aim of this study was to identify the optimal time during the malaxation process of the olives of the Sicilian cultivar Nocellara del Belice when the presence of oxygen in the machine headspace activates the enzyme complex in favour of the volatile compounds, without compromising the phenolic composition. During the malaxation process, the atmosphere inside the malaxation machine was modified by blowing pure oxygen from cylinders at specific stages of the process (i.e., 5, 15, 25, and 35 min after the start of malaxation), using a system that allows the automatic and continuous maintenanc…

Enzyme complexOlive oil qualityChromatographyChemistrySoil Sciencechemistry.chemical_elementProcess variableTime optimalPulp and paper industryOxygenOxygen monitoringControl and Systems EngineeringAgronomy and Crop ScienceOxygen contentMalaxationoxygen monitoring malaxation machine extra virgin olive oil qualityFood Science
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The long memory of efficient market

2004

For the London Stock Exchange we demonstrate that the signs of orders obey a long-memory process. The autocorrelation function decays roughly as a power law with an exponent of 0.6, corresponding to a Hurst exponent H = 0.7. This implies that the signs of future orders are quite predictable from the signs of past orders; all else being equal, this would suggest a very strong market inefficiency. We demonstrate, however, that fluctuations in order signs are compensated for by anti-correlated fluctuations in transaction size and liquidity, which are also long-memory processes that act to make the returns whiter. We show that some institutions display long-range memory and others don't.

Execution Commerce optimal liquidation
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Asymmetry of CEO Compensation and the Role of Relative and Macroeconomic Shocks in Risk Taking Incentives

2015

If managers are risk-averse and compensation schemes are not directly linked to shareholder wealth, incentives to allocate effort to manage effects of relative and macroeconomic shocks may be distorted. In this paper we develop a simple model to identify factors that determine the optimal allocation of effort to manage relative and macroeconomic shocks. We then show how serial correlation in shocks, the relative variance of shocks and the ability of managers to influence the effects of shocks on shareholder wealth determine the optimal allocation of managerial effort. Thereafter, we emphasize how CEO compensation depends on performance variables distinguishing between relative and macroecon…

Executive compensationIncentiveShareholderFinancial economicsmedia_common.quotation_subjectOptimal allocationEconometricsEconomicsSample (statistics)Risk takingAsymmetryCompensation (engineering)media_commonSSRN Electronic Journal
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A systematic review on external ear melanoma

2014

Summary Background External ear melanoma accounts for only 1% of all cutaneous melanomas, and data on its optimal management and prognosis are limited. Aim We aim to review the literature on external ear melanoma to guide surgeons in the treatment of this uncommon and peculiar pathology. Materials and methods A systematic review of English language studies on ear melanoma published from 1993 to 2013 was performed using the PubMed electronic database. Data on epidemiology, oncological treatment (tumor resection and regional lymph nodes management), and reconstruction were extrapolated from selected papers. Results The total number of patients was 858 (30 studies). The helix was the most comm…

External earmedicine.medical_specialtySkin NeoplasmsPrognosiSentinel lymph nodeSettore MED/19 - Chirurgia PlasticaSurgical FlapsBreslow ThicknessEpidemiologyBiopsymedicineHumansReconstructive Surgical ProcedureSkin NeoplasmStage (cooking)Ear ExternalMelanomaEar NeoplasmsNeoplasm Stagingmedicine.diagnostic_testbusiness.industrySentinel Lymph Node BiopsyMelanomaLymphatic MetastasiPlastic Surgery Proceduresmedicine.diseasePrognosisOptimal managementSuperficial spreading melanomaSurgeryEar NeoplasmSurgical FlapLymphatic MetastasisSurgeryNeoplasm Recurrence LocalbusinessEar melanomaMelanoma treatmentHuman
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Thresholding projection estimators in functional linear models

2008

We consider the problem of estimating the regression function in functional linear regression models by proposing a new type of projection estimators which combine dimension reduction and thresholding. The introduction of a threshold rule allows to get consistency under broad assumptions as well as minimax rates of convergence under additional regularity hypotheses. We also consider the particular case of Sobolev spaces generated by the trigonometric basis which permits to get easily mean squared error of prediction as well as estimators of the derivatives of the regression function. We prove these estimators are minimax and rates of convergence are given for some particular cases.

FOS: Computer and information sciencesStatistics and ProbabilityMathematical optimizationStatistics::TheoryMean squared error of predictionMean squared errorMathematics - Statistics TheoryStatistics Theory (math.ST)Projection (linear algebra)Methodology (stat.ME)FOS: MathematicsApplied mathematicsStatistics - MethodologyMathematicsLinear inverse problemNumerical AnalysisLinear modelEstimatorRegression analysisMinimaxSobolev spaceThresholdingOptimal rate of convergenceDerivatives estimationRate of convergenceHilbert scaleStatistics Probability and UncertaintyGalerkin methodJournal of Multivariate Analysis
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Determinantal sets, singularities and application to optimal control in medical imagery

2016

International audience; Control theory has recently been involved in the field of nuclear magnetic resonance imagery. The goal is to control the magnetic field optimally in order to improve the contrast between two biological matters on the pictures. Geometric optimal control leads us here to analyze mero-morphic vector fields depending upon physical parameters , and having their singularities defined by a deter-minantal variety. The involved matrix has polynomial entries with respect to both the state variables and the parameters. Taking into account the physical constraints of the problem, one needs to classify, with respect to the parameters, the number of real singularities lying in som…

FOS: Computer and information sciences[INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC]Computer Science - Symbolic Computation0209 industrial biotechnologyPolynomialRank (linear algebra)010102 general mathematicsBoundary (topology)Field (mathematics)02 engineering and technologySymbolic Computation (cs.SC)Optimal control01 natural sciencesPolynomial system solvingReal geometryPolynomial matrix[ INFO.INFO-SC ] Computer Science [cs]/Symbolic Computation [cs.SC]Set (abstract data type)Matrix (mathematics)020901 industrial engineering & automationApplications0101 mathematicsAlgorithmMathematics
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Feedback Classification and Optimal Control with Applications to the Controlled Lotka-Volterra Model

2023

Let M be a σ-compact C^∞ manifold of dimension n ≥ 2 and consider a single-input control system: ẋ(t) = X (x(t)) + u(t) Y (x(t)), where X , Y are C^∞ vector fields on M. We prove that there exist an open set of pairs (X , Y ) for the C^∞ –Whitney topology such that they admit singular abnormal rays so that the spectrum of the projective singular Hamiltonian dynamics is feedback invariant. It is applied to controlled Lotka–Volterra dynamics where such rays are related to shifted equilibria of the free dynamics.

Feedback classificationLotka-Volterra modelFeedback classification Nonlinear systems Lotka-Volterra model Optimal control Direct numerical methodsDirect numerical methodsNonlinear systems[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Optimal control
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A Stochastic Programming Model for the Optimal Issuance of Government Bonds

2010

Sovereign states issue fixed and floating securities to fund their public debt. The value of such portfolios strongly depends on the fluctuations of the term structure of interest rates. This is a typical example of planning under uncertainty, where decisions has to be drawn on the base of the key stochastic economic factors underneath the model.We propose a multistage stochastic programming model to select portfolios of bonds, where the aim of the decision maker is that of minimizing the cost of the decision process. At the same time, we bound the conditional Value-at-Risk, a measure of risk which accounts for the losses of the tail distribution. We build an efficient frontier to trade-off…

Financial economicsComputer sciencemedia_common.quotation_subjectStochastic programmingdebt structuringGeneral Decision SciencesDistribution (economics)Management Science and Operations ResearchMeasure (mathematics)sovereign debtSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.DebtEconomicsEconometricsSovereign statemedia_commonGovernmentbusiness.industryBondEfficient frontierStochastic programmingTheory of computationValue (economics)Yield curvebusinessoptimal debt issuanceSSRN Electronic Journal
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