Search results for "Moi"

showing 10 items of 2109 documents

Realistic Implementation of the Particle Model for the Visualization of Nanoparticle Precipitation and Growth

2019

An application for visualizing the aggregation of structureless atoms is presented. The application allows us to demonstrate on a qualitative basis, as well as by quantitatively monitoring the aggregate surface/volume ratio, that the enhanced reactivity of nanoparticles can be connected with their large specific surface. It is suggested that, along with the use of geometric analogies, this bottom-up approach can be effective in discussing the enhanced reactivity proprieties of nanoparticles. The application is based on a two-dimensional realistic dynamic model where atoms move because of their thermal and interaction potential energies, and the trajectories are determined by solving numeric…

Computer-Based Learning01 natural sciencesPhysical ChemistryEducationMolecular dynamicsChemoinformaticHigh School/Introductory ChemistryNanotechnologySet (psychology)First-Year Undergraduate/GeneralSettore CHIM/02 - Chimica FisicaBasis (linear algebra)010405 organic chemistry05 social sciencesAggregate (data warehouse)Process (computing)050301 educationHigh School/Introductory Chemistry First-Year Undergraduate/General Second-Year Undergraduate Physical Chemistry Chemoinformatics Computer-Based Learning NanotechnologyGeneral Chemistry0104 chemical sciencesVisualizationSurface-area-to-volume ratioSecond-Year UndergraduateA priori and a posterioriBiological system0503 education
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Optimizing density-functional simulations for two-dimensional metals

2022

Unlike covalent two-dimensional (2D) materials like graphene, 2D metals have non-layered structures due to their non-directional, metallic bonding. While experiments on 2D metals are still scarce and challenging, density-functional theory (DFT) provides an ideal approach to predict their basic properties and assist in their design. However, DFT methods have been rarely benchmarked against metallic bonding at low dimensions. Therefore, to identify optimal DFT attributes for a desired accuracy, we systematically benchmark exchange-correlation functionals from LDA to hybrids and basis sets from plane waves to local basis with different pseudopotentials. With 1D chain, 2D honeycomb, 2D square, …

Condensed Matter - Materials Sciencekemialliset sidoksetPhysics and Astronomy (miscellaneous)tiheyschemical bondingdensity of statesMaterials Science (cond-mat.mtrl-sci)FOS: Physical scienceselasticityGeneral Materials SciencekimmoisuusPhysical Review Materials
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Revendication. Délai de trois mois conforme à la CEDH

2014

International audience; (Com., 1er avril 2014, n° 13-13.574, arrêt n° 355 FS-P+B, SICAE c/ Sté Grave Randoux, ès qual., D. 2014. 870, obs. A. Lienhard ; ibid. 1010, chron. A.-C. Le Bras, H. Guillou et F. Arbellot ; RJDA 6/2014, n° 553)

Conformité à la Convention EDH[SHS.DROIT]Humanities and Social Sciences/LawRevendication[SHS.DROIT] Humanities and Social Sciences/LawMeubleSAUVEGARDE DES ENTREPRISESDélai de trois mois
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A Straightforward Electroactive π-Extended Tetrathiafulvalene (exTTF) Building Block

2012

The synthesis and X-ray structure of a new and readily available exTTF derivative (6) bearing a methyltriphenylphosphonium bromide moiety as a new building block for the construction of electroactive molecules is reported. The phosphonium salt 6, which was prepared in one step from 2-hydroxymethyl-exTTF as a stable yellow solid in 84 % yield, efficiently undergoes Wittig olefination reactions with a variety of aldehydes to predominantly form the E isomer. Electronic spectra and cyclic voltammetry of the novel compounds reveal the electronic communication between the electroactive units.

ConjugationOlefinationOrganic ChemistryPhosphonium saltPi interactionSettore CHIM/06 - Chimica OrganicaPhotochemistryFused-ring systemCombinatorial chemistryMaterialchemistry.chemical_compoundchemistryBromideWittig reactionMoietyPi interactionPhysical and Theoretical ChemistryCyclic voltammetryDonor-acceptor systemTetrathiafulvaleneDerivative (chemistry)European Journal of Organic Chemistry
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Geographic Distribution and Niche Divergence of Two Stinkbugs,Parastrachia japonensisandParastrachia nagaensis

2014

Parastrachiidae is a small stinkbug family containing only one genus and two species, Parastrachia japonensis (Scott) (Hemiptera: Heteroptera: Pentatomoidea) and Parastrachia nagaensis Distant. The geographic distribution of the genus has been poorly studied. Niche conservatism refers to that idea that closely related species are more ecologically similar than would be expected, whereas niche divergence predicts they occupy distinct niche spaces. The existence of only two species within one genus suggests niche conservatism or differentiation might exist among them. Herein, the distribution of the genus was mapped, potential distributions were predicted using ecological niche modeling, and …

Conservation of Natural Resourcesfood.ingredientRange (biology)NicheModels BiologicalArticleprinciple component analysisHeteropterafoodSpecies SpecificityGenusAnimalsecological nicheecological niche modelingEcosystempotential distributionEcological nichePrincipal Component AnalysisPentatomoideabiologyEcologyNiche segregationGeneral Medicinebiology.organism_classificationEnvironmental niche modellingInsect ScienceParastrachiaAnimal DistributionJournal of Insect Science
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Assessment of the Energy Potential of Chicken Manure in Poland

2019

Animal waste, including chicken manure, is a category of biomass considered for application in the energy industry. Poland is leading poultry producer in Europe, with a chicken population assessed at over 176 million animals. This paper aims to determine the theoretical and technical energy potential of chicken manure in Poland. The volume of chicken manure was assessed as 4.49 million tons per year considering three particular poultry rearing systems. The physicochemical properties of examined manure specimens indicate considerable conformity with the data reported in the literature. The results of proximate and ultimate analyses confirm a considerable effect of the rearing system on the e…

Control and Optimization020209 energyPopulationchicken manureEnergy Engineering and Power TechnologyBiomassenergy potential02 engineering and technology010501 environmental scienceslcsh:Technology01 natural sciencesToxicology0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringeducationEngineering (miscellaneous)0105 earth and related environmental scienceseducation.field_of_studyMoisturebiomasslcsh:TRenewable Energy Sustainability and the EnvironmentProximateManureAnaerobic digestionproximate and ultimate analysisEnvironmental scienceHeat of combustionChicken manureEnergy (miscellaneous)Energies
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On the Extension of the DIRECT Algorithm to Multiple Objectives

2020

AbstractDeterministic global optimization algorithms like Piyavskii–Shubert, direct, ego and many more, have a recognized standing, for problems with many local optima. Although many single objective optimization algorithms have been extended to multiple objectives, completely deterministic algorithms for nonlinear problems with guarantees of convergence to global Pareto optimality are still missing. For instance, deterministic algorithms usually make use of some form of scalarization, which may lead to incomplete representations of the Pareto optimal set. Thus, all global Pareto optima may not be obtained, especially in nonconvex cases. On the other hand, algorithms attempting to produce r…

Control and Optimization0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchMulti-objective optimizationSet (abstract data type)Local optimumoptimointialgoritmitConvergence (routing)0202 electrical engineering electronic engineering information engineeringmultiobjective optimizationmultiple criteria optimizationMathematics021103 operations researchApplied MathematicsPareto principleDIRECT algorithmmonitavoiteoptimointiComputer Science Applicationsglobal convergenceNonlinear systemdeterminantitHausdorff distancemonimuuttujamenetelmät020201 artificial intelligence & image processingHeuristicsdeterministic optimization algorithmsAlgorithmJournal of Global Optimization
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LR-NIMBUS : an interactive algorithm for uncertain multiobjective optimization with lightly robust efficient solutions

2022

In this paper, we develop an interactive algorithm to support a decision maker to find a most preferred lightly robust efficient solution when solving uncertain multiobjective optimization problems. It extends the interactive NIMBUS method. The main idea underlying the designed algorithm, called LR-NIMBUS, is to ask the decision maker for a most acceptable (typical) scenario, find an efficient solution for this scenario satisfying the decision maker, and then apply the derived efficient solution to generate a lightly robust efficient solution. The preferences of the decision maker are incorporated through classifying the objective functions. A lightly robust efficient solution is generated …

Control and OptimizationApplied Mathematicspäätöksentekolight robust efficiencyrobust optimizationmatemaattiset menetelmätportfoliotManagement Science and Operations Researchinteractive methodsarvopaperisalkutskenaariotepävarmuusmonitavoiteoptimointiComputer Science Applicationsuncertain multiple criteria optimizationmenetelmätoptimointialgoritmitinteraktiivisuusBusiness Management and Accounting (miscellaneous)portfolio selection
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Multiobjective optimization and decision making in engineering sciences

2021

AbstractReal-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of various competing criteria related to, for example, business, technical, workforce, safety and environmental aspects increases the complexity of decision making and leads to problems that feature multiple competing criteria. A key challenge in such problems is the identification of the most preferred trade-off solution(s) with respect to the competing criteria. Therefore, the effective combination of data, skills, and advanced engineering and management technologies is becoming a key asset to a company urging the need to rethink how…

Control and OptimizationEvolutionary multiobjective optimizationComputer scienceAerospace EngineeringpäätöksentukijärjestelmätAsset (computer security)Multi-objective optimizationData scienceoptimointidatatiedeFeature (machine learning)Electrical and Electronic EngineeringCivil and Structural EngineeringExpensive optimizationManagement scienceIntersection (set theory)Mechanical EngineeringEngineering sciencesmonitavoiteoptimointiMultiple criteria decision makingFinancial engineeringIdentification (information)WorkforceKey (cryptography)tekniset tieteetSoftwareOptimization and Engineering
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A quantitative reverse Faber-Krahn inequality for the first Robin eigenvalue with negative boundary parameter

2021

The aim of this paper is to prove a quantitative form of a reverse Faber-Krahn type inequality for the first Robin Laplacian eigenvalueλβwith negative boundary parameter among convex sets of prescribed perimeter. In that framework, the ball is the only maximizer forλβand the distance from the optimal set is considered in terms of Hausdorff distance. The key point of our stategy is to prove a quantitative reverse Faber-Krahn inequality for the first eigenvalue of a Steklov-type problem related to the original Robin problem.

Control and Optimizationconvex setsBoundary (topology)variaatiolaskenta01 natural sciencesSet (abstract data type)Perimeter0103 physical sciencesquantitative isoperimetric inequalityConvex setBall (mathematics)0101 mathematicsEigenvalues and eigenvectorsMathematicsosittaisdifferentiaaliyhtälötominaisarvot010102 general mathematicsMathematical analysisRegular polygonMathematics::Spectral Theorymatemaattinen optimointiQuantitative isoperimetric inequalityComputational MathematicsHausdorff distanceControl and Systems EngineeringRobin eigenvalue010307 mathematical physicsLaplace operator
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