Search results for "Partial"

showing 10 items of 1477 documents

Interactive decision support and trade-off analysis for sustainable forest landscape planning under deep uncertainty

2022

Sustainable environmental management often involves long-term time horizons and multiple conflicting objectives and, by nature, is affected by different sources of uncertainty. Many sources of uncertainty, such as climate change or government policies, cannot be addressed using probabilistic models, and, therefore, they can be seen to contain deep uncertainty. In this setting, the variety of possible future states is represented as a set of scenarios lacking any information about the likelihood of occurring. Integrating deep uncertainty into multiobjective decision support increases complexity, calling for the elaboration of appropriate methods and tools. This paper proposes a novel intera…

Global and Planetary Changescenario planningpartially known preferencestodennäköisyyslaskentaEcologykestävä kehitysympäristömetsäalapäätöksentekoforest managementForestryilmastonmuutoksetskenaariotmonitavoiteoptimointimetsätympäristön tilaclimate changestrateginen suunnittelumultiobjective optimizationtulevaisuusmetsänhoitotodennäköisyys
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Semisupervised nonlinear feature extraction for image classification

2012

Feature extraction is of paramount importance for an accurate classification of remote sensing images. Techniques based on data transformations are widely used in this context. However, linear feature extraction algorithms, such as the principal component analysis and partial least squares, can address this problem in a suboptimal way because the data relations are often nonlinear. Kernel methods may alleviate this problem only when the structure of the data manifold is properly captured. However, this is difficult to achieve when small-size training sets are available. In these cases, exploiting the information contained in unlabeled samples together with the available training data can si…

Graph kernelComputer scienceFeature extractioncomputer.software_genreKernel principal component analysisk-nearest neighbors algorithmKernel (linear algebra)Polynomial kernelPartial least squares regressionLeast squares support vector machineCluster analysisTraining setContextual image classificationbusiness.industryDimensionality reductionPattern recognitionManifoldKernel methodKernel embedding of distributionsKernel (statistics)Principal component analysisRadial basis function kernelPrincipal component regressionData miningArtificial intelligencebusinesscomputer2012 IEEE International Geoscience and Remote Sensing Symposium
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Photocatalytic Partial Oxidation of 5‐Hydroxymethylfurfural (HMF) to 2,5‐Diformylfuran (DFF) Over a Covalent Triazine Framework in Water

2020

Green chemistrychemistry.chemical_compoundChemistryCovalent bond5-hydroxymethylfurfuralOrganic ChemistryPhotocatalysisOrganic chemistryPartial oxidationPhysical and Theoretical ChemistryHydroxymethylfurfuralAnalytical ChemistryTriazineChemPhotoChem
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Phase equilibria modelling of kyanite-bearing anatectic paragneisses from the central Grenville Province

2008

Kyanite-bearing paragneisses from the Manicouagan Imbricate Zone and its footwall (high-P belt of the central Grenville Province) preserve evidence of partial melting with development of metamorphic textures involving biotite-garnet ± kyanite ± plagioclase ± K-feldspar-quartz. Garnet in these rocks displays a variety of zoning patterns with respect to Ca. Pseudosection modelling in the Na O-CaO-K O-FeO-MgO-Al O - SiO -H O-TiO -O (NCKFMASHTO) system using measured bulk rock compositions accounts for the textural evolution of two aluminous and two sub-aluminous samples from the presumed thermal peak to conditions at which retained melt solidified. The prograde features are best explained by p…

GrossularMetamorphic rockGeochemistryPartial meltingMetamorphismGeologySolidusengineering.materialKyaniteGeochemistry and Petrologyvisual_artengineeringvisual_art.visual_art_mediumPlagioclaseMaficGeologyJournal of Metamorphic Geology
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Ein Extrapolationsverfahren zur unblutigen Bestimmung des O2-und CO2-Partialdruckes im ven�sen Mischblut

1969

Es wird eine neue Methode zur unblutigen Messung des O2-und des CO2-Partialdruckes im venosen Mischblut beschrieben. Dabei inspiriert der Proband zunachst ein Atemzugvolumen eines Gasgemisches mit 10–13 Vol-% CO2 und dem Rest N2. Am Ende der folgenden Exspiration wird vom offenen auf ein geschlossenes respiratorisches System umgeschaltet, dessen Ruckatmungsbeutel anfanglich 1,5–2,5 l eines Gemisches von 5,5–7,5 Vol-% CO2 und N2 als Rest enthalt. Eine schnellregistrierende Platinelektrode und ein Ultrarotabsorptionsschreiber analysieren fortlaufend die respiratorischen O2-und CO2-Partialdruckanderungen am Mundstuck des Probanden. Die Umhullenden der wahrend der Ruckatmung aufgezeichneten Kur…

Gynecologymedicine.medical_specialtyPhysiologyChemistryPhysiology (medical)Co2 partial pressureClinical BiochemistrymedicineHuman physiologyMixed venous bloodPfl�gers Archiv European Journal of Physiology
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Dalitz plot analysis ofD0→K¯0K+K−

2005

A Dalitz plot analysis of approximately 12500 D0 events reconstructed in the hadronic decay D0-->K0bar K+ K- is presented. This analysis is based on a data sample of 91.5 fb-1 collected with the BaBar detector at the PEP-II asymmetric-energy e+ e- storage rings at SLAC running at center-of-mass energies on and 40 MeV below the Y4S resonance. The events are selected from e+ e- --> c cbar annihilations using the decay D*+ --> D0 pi+. The following ratio of branching fractions has been obtained: BR = Gamma(D0-->K0bar K+ K-)/Gamma(D0-->K0bar pi+ pi-) = (15.8+/-0.1(stat.)+/-0.5(syst.)x 10-2 Estimates of fractions and phases for resonant and non-resonant contributions to the Dalitz plot are also …

Hadronic decayPhysicsNuclear and High Energy PhysicsAnnihilation010308 nuclear & particles physicsBranching fractionElectron–positron annihilationPartial wave analysisDalitz plot01 natural sciencesParticle identificationNuclear physics0103 physical sciences010306 general physicsPhysical Review D
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On critical behaviour in systems of Hamiltonian partial differential equations

2013

Abstract We study the critical behaviour of solutions to weakly dispersive Hamiltonian systems considered as perturbations of elliptic and hyperbolic systems of hydrodynamic type with two components. We argue that near the critical point of gradient catastrophe of the dispersionless system, the solutions to a suitable initial value problem for the perturbed equations are approximately described by particular solutions to the Painlevé-I (P $$_I$$ I ) equation or its fourth-order analogue P $$_I^2$$ I 2 . As concrete examples, we discuss nonlinear Schrödinger equations in the semiclassical limit. A numerical study of these cases provides strong evidence in support of the conjecture.

Hamiltonian PDEsFOS: Physical sciencesSemiclassical physicsPainlevé equationsArticleSchrödinger equationHamiltonian systemsymbols.namesakeMathematics - Analysis of PDEs37K05Modelling and SimulationGradient catastrophe and elliptic umbilic catastrophe34M55FOS: MathematicsInitial value problemSettore MAT/07 - Fisica MatematicaEngineering(all)Mathematical PhysicsMathematicsG100Partial differential equationConjectureNonlinear Sciences - Exactly Solvable and Integrable SystemsHyperbolic and Elliptic systemsApplied MathematicsMathematical analysisQuasi-integrable systemsGeneral EngineeringMathematical Physics (math-ph)35Q55Nonlinear systemModeling and SimulationsymbolsExactly Solvable and Integrable Systems (nlin.SI)Hamiltonian (quantum mechanics)Gradient catastrophe and elliptic umbilic catastrophe; Hamiltonian PDEs; Hyperbolic and Elliptic systems; Painlevé equations; Quasi-integrable systemsAnalysis of PDEs (math.AP)
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Fast Image Restoration Algorithms Based on PDE Models Using Modified Hopfield Neural Network

2010

Two image restoration algorithms based on modified Hop field neural network and variational partial differential equations (PDE) were proposed in our previous work [1, 2]. But the convergence rate of the proposed algorithms was slow. In this paper, we develop a fast update rule based on modified Hop field neural network (MHNN) of continuous state change and two fast image restoration algorithms. Experimental results show that, when compared with the previous algorithms, our proposed algorithms have better performance both in convergence rate and in image restoration quality.

Harmonic analysisPartial differential equationArtificial neural networkRate of convergenceComputer scienceSignal processing algorithmsTotal variation modelRule-based systemAlgorithmImage restoration2010 International Conference on Artificial Intelligence and Computational Intelligence
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Remission phase in children diagnosed with type 1 diabetes (T1D) in years 2012-2013 in Silesia, Poland – an observational study

2019

Background/Objective The study aimed to analyze the frequency of partial remission (PR) and its association with chosen clinical and laboratory factors among pediatric patients with newly diagnosed type 1 diabetes (T1D). The long‐term effect of PR on chosen parameters was also investigated. Methods In 194 patients (95 girls) aged 8.1 ± 4.3 years, we analyzed data at T1D onset: glycemia, pH, C‐peptide, antibodies, weight, and concomitant autoimmune diseases. Anthropometric parameters, daily insulin requirement (DIR), and HbA1c 2 and 4 years after T1D diagnosis were also analyzed. We determined PR based on HbA1c and DIR measurements at least every 3 months. Results PR occurred in 59% of patie…

HbA1cketoacidosistype 1 diabetespartial remissionPediatric Diabetes
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Comparative Study of Several Machine Learning Algorithms for Classification of Unifloral Honeys

2021

Unifloral honeys are highly demanded by honey consumers, especially in Europe. To ensure that a honey belongs to a very appreciated botanical class, the classical methodology is palynological analysis to identify and count pollen grains. Highly trained personnel are needed to perform this task, which complicates the characterization of honey botanical origins. Organoleptic assessment of honey by expert personnel helps to confirm such classification. In this study, the ability of different machine learning (ML) algorithms to correctly classify seven types of Spanish honeys of single botanical origins (rosemary, citrus, lavender, sunflower, eucalyptus, heather and forest honeydew) was investi…

Health (social science)OrganolepticPlant ScienceTP1-1185Machine learningcomputer.software_genre01 natural sciencesHealth Professions (miscellaneous)MicrobiologyArticle0404 agricultural biotechnologyPartial least squares regressionMathematicsAliments Consumbotanical originArtificial neural networkbusiness.industryIntel·ligència artificialChemical technology010401 analytical chemistryphysicochemical parameters04 agricultural and veterinary sciencesLinear discriminant analysis040401 food science0104 chemical sciencesRandom forestSupport vector machineTree (data structure)machine learningclassificationTest setArtificial intelligencebusinessApiculturaAlgorithmcomputerunifloral honeysFood ScienceFoods
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