Search results for " Computer"

showing 10 items of 6910 documents

Solvent-free microwave-assisted extraction of polyphenols from olive tree leaves: Antioxidant and antimicrobial properties

2017

International audience; Response surface methodology (RSM) and artificial neural networks (ANN) were evaluated and compared in order to decide which method was the most appropriate to predict and optimize total phenolic content (TPC) and oleuropein yields in olive tree leaf (Olea europaea) extracts, obtained after solvent-free microwave- assisted extraction (SFMAE). The SFMAE processing conditions were: microwave irradiation power 250-350 W, extraction time 2-3 min, and the amount of sample 5-10 g. Furthermore, the antioxidant and antimicrobial activities of the olive leaf extracts, obtained under optimal extraction conditions, were assessed by several in vitro assays. ANN had better predic…

Antioxidantmedicine.medical_treatment[SDV]Life Sciences [q-bio]Pharmaceutical ScienceAntioxidantsAnalytical Chemistrychemistry.chemical_compoundDrug Discovery[SDV.IDA]Life Sciences [q-bio]/Food engineeringAntimicrobial; Antioxidant; Oleuropein; Olive leaves; Optimization; Solvent-free microwave extraction; Organic ChemistryOlive leavesMicrowaves04 agricultural and veterinary sciences040401 food scienceAnti-Bacterial AgentsChemistry (miscellaneous)Molecular MedicineAntioxidantAntibacterial activityOptimizationStaphylococcus aureusMicrobial Sensitivity TestsArticlelcsh:QD241-4410404 agricultural biotechnologyOlive leaflcsh:Organic chemistryOleuropeinOleaStaphylococcus epidermidismedicine[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringResponse surface methodologyPhysical and Theoretical ChemistryOleuropeinolive leaves; solvent-free microwave extraction; oleuropein; antioxidant; antimicrobial; optimizationChromatographyPlant ExtractsExtraction (chemistry)Organic ChemistryPolyphenolsolive leaves;solvent-free microwave extraction;oleuropein;antioxidant;antimicrobial;optimizationPlant LeaveschemistryPolyphenolYield (chemistry)Solvent-free microwave extractionSolventsAntimicrobialNeural Networks Computer
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Comparative study to predict toxic modes of action of phenols from molecular structures.

2013

Quantitative structure-activity relationship models for the prediction of mode of toxic action (MOA) of 221 phenols to the ciliated protozoan Tetrahymena pyriformis using atom-based quadratic indices are reported. The phenols represent a variety of MOAs including polar narcotics, weak acid respiratory uncouplers, pro-electrophiles and soft electrophiles. Linear discriminant analysis (LDA), and four machine learning techniques (ML), namely k-nearest neighbours (k-NN), support vector machine (SVM), classification trees (CTs) and artificial neural networks (ANNs), have been used to develop several models with higher accuracies and predictive capabilities for distinguishing between four MOAs. M…

Antiprotozoal AgentsQuantitative Structure-Activity RelationshipBioengineeringMachine learningcomputer.software_genreConstant false alarm ratePhenolsArtificial IntelligenceDrug DiscoveryTraining setModels StatisticalArtificial neural networkCiliated protozoanMolecular StructureChemistrybusiness.industryTetrahymena pyriformisGeneral MedicineLinear discriminant analysisSupport vector machineTest setTetrahymena pyriformisMolecular MedicineArtificial intelligenceNeural Networks ComputerBiological systembusinesscomputerSAR and QSAR in environmental research
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Computer Modeling for the Prediction of Thoracic Aortic Stent Graft Collapse

2011

OBJECTIVE: To assess the biomechanical implications of excessive stent protrusion into the aortic arch in relation to thoracic aortic stent graft (TASG) collapse by simulating the structural load and quantifying the fluid dynamics on the TASG wall protrusion extended into a model arch. METHODS: One-way coupled fluid-solid interaction analyses were performed to investigate the flow-induced hemodynamic and structural loads exerted on the proximal protrusion of the TASG and aortic wall reconstructed from a patient who underwent traumatic thoracic aortic injury repair. Mechanical properties of a Gore TAG thoracic endoprosthesis (W. L. Gore and Assoc, Flagstaff, Ariz) were assessed via experimen…

Aortic archMalemedicine.medical_specialtyAortographymedicine.medical_treatmentHemodynamicsAorta ThoracicFOS: Medical engineeringProsthesis DesignAortographyBlood Vessel Prosthesis ImplantationImaging Three-DimensionalBlood vessel prosthesismedicine.arteryMaterials TestingmedicineHumansComputer Simulationthoracic aortic stent graft (TASG)Aortamedicine.diagnostic_testbusiness.industryEndovascular ProceduresHemodynamicsModels CardiovascularStentSettore ING-IND/34 - Bioingegneria Industrialenutritional and metabolic diseases90399 Biomedical Engineering not elsewhere classifiedCurvatures of the stomachSurgeryBiomechanical PhenomenaBlood Vessel ProsthesisProsthesis FailureEquipment Failure AnalysisRegional Blood FlowRadiographic Image Interpretation Computer-AssistedStentslipids (amino acids peptides and proteins)SurgeryStress Mechanicalbiological phenomena cell phenomena and immunitybusinessNuclear medicineTomography X-Ray ComputedCardiology and Cardiovascular MedicinePerfusionAlgorithmsJournal of Vascular Surgery
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Cardioradiologia

2009

Apparato cardiovascolare Diagnostica per Immagini Tomografia Computerizzata Risonanza Magnetica NucleareSettore MED/36 - Diagnostica Per Immagini E Radioterapia
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Comparison and multiresolution analysis of irregular meshes with appearance attributes

2004

We present in this dissertation a method to compare and to analyse irregular meshes with appearance attributes. First, we propose a mesh comparison method using a new attribute deviation metric. Considered meshes contain geometric and appearance attributes (e.g. color, texture,temperature). The proposed deviation assessment allows the computation of local attribute differences between two meshes. We present an application of this method to mesh simplification algorithm quality assessment.Then we propose two multiresolution analysis schemes for irregular meshes with appearance attributes. First, a mesh is decomposed in a discret number of levels of detail. We introduce a surface geometry rel…

Appearance attributesIrregular meshes[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]analyse multirésolutionattributs d’apparenceMesh comparisondébruitage adaptatif[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG][INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG]visualisation dépendante des détailscomparaison de maillagesMultiresolution analysismaillages irréguliers
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Binary Hamming codes and Boolean designs

2021

AbstractIn this paper we consider a finite-dimensional vector space $${\mathcal {P}}$$ P over the Galois field $${\text {GF}}(2),$$ GF ( 2 ) , and the family $${\mathcal {B}}_k$$ B k (respectively, $${\mathcal {B}}_k^*$$ B k ∗ ) of all the k-sets of elements of $$\mathcal {P}$$ P (respectively, of $${\mathcal {P}}^*= {\mathcal {P}} \setminus \{0\}$$ P ∗ = P \ { 0 } ) summing up to zero. We compute the parameters of the 3-design $$({\mathcal {P}},{\mathcal {B}}_k)$$ ( P , B k ) for any (necessarily even) k, and of the 2-design $$({\mathcal {P}}^{*},{\mathcal {B}}_k^{*})$$ ( P ∗ , B k ∗ ) for any k. Also, we find a new proof for the weight distribution of the binary Hamming code. Moreover, we…

Applied Mathematics010102 general mathematicsGalois theoryZero (complex analysis)0102 computer and information sciencesAutomorphism01 natural sciencesComputer Science ApplicationsCombinatoricsBlock designs Hamming codes Permutation automorphisms Weight distribution Subset sum problemPermutation010201 computation theory & mathematicsWeight distributionSettore MAT/03 - Geometria0101 mathematicsHamming weightHamming codeVector spaceMathematics
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Linear and cyclic radio k-labelings of trees

2007

International audience; Motivated by problems in radio channel assignments, we consider radio k-labelings of graphs. For a connected graph G and an integer k ≥ 1, a linear radio k-labeling of G is an assignment f of nonnegative integers to the vertices of G such that |f(x)−f(y)| ≥ k+1−dG(x,y), for any two distinct vertices x and y, where dG(x,y) is the distance between x and y in G. A cyclic k-labeling of G is defined analogously by using the cyclic metric on the labels. In both cases, we are interested in minimizing the span of the labeling. The linear (cyclic, respectively) radio k-labeling number of G is the minimum span of a linear (cyclic, respectively) radio k-labeling of G. In this p…

Applied Mathematics010102 general mathematicsGraph theory[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]Astrophysics::Cosmology and Extragalactic Astrophysics0102 computer and information sciences[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Span (engineering)01 natural sciencesUpper and lower boundsCombinatoricsGraph theory[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]IntegerRadio channel assignment010201 computation theory & mathematicsCyclic and linear radio k-labelingMetric (mathematics)Path (graph theory)Discrete Mathematics and CombinatoricsOrder (group theory)0101 mathematicsMSC 05C15 05C78ConnectivityMathematics
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Extended Natural Numbers and Counters

2020

Summary This article introduces extended natural numbers, i.e. the set ℕ ∪ {+∞}, in Mizar [4], [3] and formalizes a way to list a cardinal numbers of cardinals. Both concepts have applications in graph theory.

Applied Mathematics03e10 68v20Mathematics::General Topology020207 software engineeringNatural number0102 computer and information sciences02 engineering and technologysequence01 natural sciencesCombinatoricsComputational MathematicsMathematics::Logic010201 computation theory & mathematicscardinal0202 electrical engineering electronic engineering information engineeringextended natural numbersQA1-939MathematicsMathematicsSequence (medicine)MathematicsofComputing_DISCRETEMATHEMATICSFormalized Mathematics
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Identification of multiplicatively acting modulatory mutational signatures in cancer

2022

Abstract Background A deep understanding of carcinogenesis at the DNA level underpins many advances in cancer prevention and treatment. Mutational signatures provide a breakthrough conceptualisation, as well as an analysis framework, that can be used to build such understanding. They capture somatic mutation patterns and at best identify their causes. Most studies in this context have focused on an inherently additive analysis, e.g. by non-negative matrix factorization, where the mutations within a cancer sample are explained by a linear combination of independent mutational signatures. However, other recent studies show that the mutational signatures exhibit non-additive interactions. Resu…

Applied Mathematics3122 CancersMutational signatures113 Computer and information sciencesBiochemistryComputer Science ApplicationsStructural BiologyNeoplasmsMutationModulatory processesHumanssyöpätauditmutaatiotMolecular BiologyCancerBMC Bioinformatics
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Sampling methods for low-frequency electromagnetic imaging

2007

For the detection of hidden objects by low-frequency electromagnetic imaging the linear sampling method works remarkably well despite the fact that the rigorous mathematical justification is still incomplete. In this work, we give an explanation for this good performance by showing that in the low-frequency limit the measurement operator fulfils the assumptions for the fully justified variant of the linear sampling method, the so-called factorization method. We also show how the method has to be modified in the physically relevant case of electromagnetic imaging with divergence-free currents. We present numerical results to illustrate our findings, and to show that similar performance can b…

Applied MathematicsMathematical analysis510 MathematikLow frequencyComputer Science ApplicationsTheoretical Computer ScienceOperator (computer programming)510 MathematicsSignal ProcessingFactorization methodLimit (mathematics)AlgorithmMathematical PhysicsMathematics
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