Search results for " MATHEMATICAL"

showing 10 items of 686 documents

Engineering approaches in siRNA delivery.

2017

siRNAs are very potent drug molecules, able to silence genes involved in pathologies development. siRNAs have virtually an unlimited therapeutic potential, particularly for the treatment of inflammatory diseases. However, their use in clinical practice is limited because of their unfavorable properties to interact and not to degrade in physiological environments. In particular they are large macromolecules, negatively charged, which undergo rapid degradation by plasmatic enzymes, are subject to fast renal clearance/hepatic sequestration, and can hardly cross cellular membranes. These aspects seriously impair siRNAs as therapeutics. As in all the other fields of science, siRNAs management ca…

0301 basic medicine3003siRNAs Delivery vectors in vitro models Mathematical modeling Physical modelingDelivery vectors; In vitro models; Mathematical modeling; Physical modeling; SiRNAs; 3003Pharmaceutical ScienceNanotechnology02 engineering and technologyComputational biologyBiology03 medical and health sciencesDrug Delivery SystemsHumanssiRNAs; Delivery vectors; in vitro models; Mathematical modeling; Physical modelingRNA Small Interferingin vitro modelsPhysical modelingSettore ING-IND/34 - Bioingegneria IndustrialeHydrogelsDelivery vectorsModels Theoretical021001 nanoscience & nanotechnologyDelivery vectorsiRNAsClinical PracticeHydrogel030104 developmental biologyin vitro modelsiRNAMathematical modeling0210 nano-technologyBlood streamDrug Delivery SystemClearanceHumanInternational journal of pharmaceutics
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Collective Cell Migration in a Fibrous Environment: A Hybrid Multiscale Modelling Approach

2021

International audience; The specific structure of the extracellular matrix (ECM), and in particular the density and orientation of collagen fibres, plays an important role in the evolution of solid cancers. While many experimental studies discussed the role of ECM in individual and collective cell migration, there are still unanswered questions about the impact of nonlocal cell sensing of other cells on the overall shape of tumour aggregation and its migration type. There are also unanswered questions about the migration and spread of tumour that arises at the boundary between different tissues with different collagen fibre orientations. To address these questions, in this study we develop …

0301 basic medicineStatistics and Probabilitymulti-scale hybrid mathematical modelMaterials sciencecell migration[SDV.CAN]Life Sciences [q-bio]/Cancercontinuous cell-extracellular matrix interactionsQA273-280Articlenumerical simulationsExtracellular matrix03 medical and health sciences0302 clinical medicineCollagen fibres[SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB][NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]T57-57.97Applied mathematics. Quantitative methodsApplied MathematicsCollective cell migrationCell migrationTumour invasionCollagen fibre030104 developmental biologyorientation of extracellular matrix fibresagent based discrete cell-cell interactionsContinuous fieldBiological systemProbabilities. Mathematical statistics030217 neurology & neurosurgeryFrontiers in Applied Mathematics and Statistics
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A systems-wide understanding of photosynthetic acclimation in algae and higher plants

2017

The ability of phototrophs to colonise different environments relies on robust protection against oxidative stress, a critical requirement for the successful evolutionary transition from water to land. Photosynthetic organisms have developed numerous strategies to adapt their photosynthetic apparatus to changing light conditions in order to optimise their photosynthetic yield, which is crucial for life on Earth to exist. Photosynthetic acclimation is an excellent example of the complexity of biological systems, where highly diverse processes, ranging from electron excitation over protein protonation to enzymatic processes coupling ion gradients with biosynthetic activity, interact on drasti…

0301 basic medicine[SDV.BIO]Life Sciences [q-bio]/BiotechnologyPhysiologyAcclimatizationContext (language use)PhD traininginterdisciplinary trainingPlant Science: Biochemistry biophysics & molecular biology [F05] [Life sciences]BiologyacclimationPhotosynthesisAcclimatizationModels Biologicalmodelling03 medical and health sciencesAlgaeChlorophytaapplication industrielle[SDV.BV]Life Sciences [q-bio]/Vegetal Biologymathematical modellingPhotosynthesis: Biochimie biophysique & biologie moléculaire [F05] [Sciences du vivant]biodiversitymodélisationmicro-alguePhototrophphotosynthetic systemEcologyNon-photochemical quenchingSystems Biologyacclimatation photosynthétiquephotosynthetic optimisationPlanktonPlantsanalyse rétrospectivebiology.organism_classificationindustrial applicationEuropean Training Network030104 developmental biologyAcclimation; European Training Network; PhD training; biodiversity; interdisciplinary training; mathematical modelling; microalgal cultivation; non-photochemical quenching; photosynthetic optimisationPhotosynthetic acclimationadaptation à la lumièremicroalgal cultivationappareil photosynthétiqueBiochemical engineeringnon-photochemical quenching
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A mathematical model of exposure of nontarget Lepidoptera to Bt-maize pollen expressing Cry1Ab within Europe

2010

Genetically modified (GM) maize MON810 expresses a Cry1Ab insecticidal protein, derived from Bacillus thuringiensis ( Bt ), toxic to lepidopteran target pests such as Ostrinia nubilalis . An environmental risk to non-target Lepidoptera from this GM crop is exposure to harmful amounts of Bt -containing pollen deposited on host plants in or near MON810 fields. An 11-parameter mathematical model analysed exposure of larvae of three non-target species: the butterflies Inachis io (L.), Vanessa atalanta (L.) and moth Plutella xylostella (L.), in 11 representative maize cultivation regions in four European countries. A mortality–dose relationship was integrated with a dose–distance relationship t…

1001genetically modified maize Cry1Ab non-target Lepidoptera mathematical model exposure risk assessment60Bacillus thuringiensismedicine.disease_causeZea maysModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyOstriniaExposureCropLepidoptera genitaliaHemolysin ProteinsMathematical modelBacterial ProteinsResearch articlesPollenBacillus thuringiensismedicineAnimalsPest Control BiologicalGeneral Environmental ScienceRisk assessmentGenetically modified maize31General Immunology and MicrobiologybiologyBacillus thuringiensis Toxinsbusiness.industryfungiPest controlPlutellafood and beveragesGeneral MedicineNon-target lepidopterabiology.organism_classificationPlants Genetically ModifiedEndotoxinsLepidopteraAgronomyGenetically modified maizePollenCry1abGeneral Agricultural and Biological SciencesbusinessButterflies
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Measurement of the W boson mass

1996

The W boson mass is measured using proton-proton collision data at root s = 13 TeV corresponding to an integrated luminosity of 1.7fb(-1) recorded during 2016 by the LHCb experiment. With a simultaneous fit of the muon q/p(T) distribution of a sample of W ->mu y decays and the phi* distribution of a sample of Z -> mu mu decays the W boson mass is determined to be

13000 GeV-cmsTevatronparton: distribution functionQC770-798W: leptonic decay7. Clean energy01 natural sciencesLuminosityPhysics Particles & FieldsSubatomär fysikHadron-Hadron scattering (experiments)scattering [p p]Electroweak interactionNuclear Experimentparticle identification [muon]Settore FIS/01PhilosophyPhysicsCoupling (probability)CERN LHC CollHadron colliderPhysical SciencesTransverse masscolliding beams [p p]distribution function [parton]Collider Detector at FermilabParticles and fieldCOLLISIONSp p: scatteringCERN PBARP COLLIDERAstrophysics::High Energy Astrophysical PhenomenaW: mass: measuredStandard ModelNuclear physicsddc:530010306 general physics0206 Quantum PhysicsMuonScience & Technology010308 nuclear & particles physicsWeinberg angleHEPFERMILAB TEVATRONElectroweak interaction Hadron-Hadron scattering (experiments) QCD For- ward physicsCDFp p: colliding beamsPhysics::Instrumentation and DetectorsElectron–positron annihilation= 1.8 TEVGeneral Physics and Astronomy= 1.8 TEV; PBARP COLLISIONS; DECAYVector bosonHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)Computer Science::Systems and ControlSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]PhysicFermilabBosonPhysics0105 Mathematical PhysicsStatistics::ApplicationsSettore FIS/01 - Fisica Sperimentalestatistical [error]Nuclear & Particles PhysicsCENTRAL TRACKING CHAMBERerror: statisticalCENTRAL ELECTROMAGNETIC CALORIMETERTransverse momentum0202 Atomic Molecular Nuclear Particle and Plasma PhysicsLHCmass: measured [W]Particle Physics - ExperimentStatistics::TheoryParticle physicsNuclear and High Energy Physicselectroweak interaction: precision measurementRegular Article - Experimental PhysicsTRANSVERSE ENERGYFOS: Physical sciencesmuon: particle identification530Particle decayPBARP COLLISIONSNuclear and particle physics. Atomic energy. Radioactivityprecision measurement [electroweak interaction]0103 physical sciencesForward physicVECTOR BOSONElectroweak interaction Hadron-Hadron scattering (experiments) QCD Forward physicsCERN PBARP COLLIDER; CENTRAL ELECTROMAGNETIC CALORIMETER; CENTRAL TRACKING CHAMBER; = 1.8 TEV; PARTON DISTRIBUTIONS; FERMILAB TEVATRON; VECTOR BOSON; TRANSVERSE ENERGY; CDF; COLLISIONShep-exHigh Energy Physics::PhenomenologyLHC-BQCDleptonic decay [W]LHCbPARTON DISTRIBUTIONSMass spectrumForward physicsPhysics::Accelerator PhysicsHigh Energy Physics::ExperimentDECAYHumanitiesexperimental results
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Moduli spaces of rank two aCM bundles on the Segre product of three projective lines

2016

Let P^n be the projective space of dimension n on an algebraically closed field of characteristic 0 and F be the image of the Segre embedding of P^1xP^1xP^1 inside P^7. In the present paper we deal with the moduli spaces of locally free sheaves E on F of rank 2 with h^i(F,E(t))=0 for i=1,2 and each integer t.

14J60 14J45 14D20[MATH.MATH-AC]Mathematics [math]/Commutative Algebra [math.AC]Rank (differential topology)Commutative Algebra (math.AC)01 natural sciences[ MATH.MATH-AC ] Mathematics [math]/Commutative Algebra [math.AC]CombinatoricsMathematics - Algebraic GeometryMathematics::Algebraic Geometry0103 physical sciencesFOS: Mathematics0101 mathematicsProjective testAlgebraic Geometry (math.AG)MathematicsAlgebra and Number TheoryImage (category theory)010102 general mathematicsMathematics - Commutative Algebra16. Peace & justice[ MATH.MATH-AG ] Mathematics [math]/Algebraic Geometry [math.AG]Moduli spaceSegre embeddingMSC: Primary: 14J60; secondary: 14J45; 14D20Product (mathematics)[MATH.MATH-AG]Mathematics [math]/Algebraic Geometry [math.AG]010307 mathematical physicsJournal of Pure and Applied Algebra
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Lie Algebras Generated by Extremal Elements

1999

We study Lie algebras generated by extremal elements (i.e., elements spanning inner ideals of L) over a field of characteristic distinct from 2. We prove that any Lie algebra generated by a finite number of extremal elements is finite dimensional. The minimal number of extremal generators for the Lie algebras of type An, Bn (n>2), Cn (n>1), Dn (n>3), En (n=6,7,8), F4 and G2 are shown to be n+1, n+1, 2n, n, 5, 5, and 4 in the respective cases. These results are related to group theoretic ones for the corresponding Chevalley groups.

17B05[ MATH.MATH-GR ] Mathematics [math]/Group Theory [math.GR]Non-associative algebraAdjoint representationGroup Theory (math.GR)01 natural sciences[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]Graded Lie algebraCombinatoricsMathematics - Algebraic Geometry0103 physical sciences[MATH.MATH-RA] Mathematics [math]/Rings and Algebras [math.RA]FOS: Mathematics0101 mathematicsAlgebraic Geometry (math.AG)[MATH.MATH-GR] Mathematics [math]/Group Theory [math.GR]MathematicsDiscrete mathematicsAlgebra and Number TheorySimple Lie group010102 general mathematics[MATH.MATH-RA]Mathematics [math]/Rings and Algebras [math.RA]20D06[MATH.MATH-AG] Mathematics [math]/Algebraic Geometry [math.AG]Mathematics - Rings and AlgebrasKilling formAffine Lie algebra[ MATH.MATH-RA ] Mathematics [math]/Rings and Algebras [math.RA]Lie conformal algebra[ MATH.MATH-AG ] Mathematics [math]/Algebraic Geometry [math.AG]Adjoint representation of a Lie algebraRings and Algebras (math.RA)17B05; 20D06010307 mathematical physics[MATH.MATH-AG]Mathematics [math]/Algebraic Geometry [math.AG]Mathematics - Group TheoryJournal of Algebra
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Brauer correspondent blocks with one simple module

2019

One of the main problems in representation theory is to understand the exact relationship between Brauer corresponding blocks of finite groups. The case where the local correspondent has a unique simple module seems key. We characterize this situation for the principal p-blocks where p is odd.

20C20 20C15MatemáticasApplied MathematicsGeneral Mathematics010102 general mathematicsPrincipal (computer security)MathematicsofComputing_GENERAL01 natural sciencesRepresentation theoryAlgebra0103 physical sciencesKey (cryptography)FOS: Mathematics010307 mathematical physics0101 mathematicsRepresentation Theory (math.RT)Simple moduleMathematics - Representation TheoryMathematics
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The average element order and the number of conjugacy classes of finite groups

2021

Abstract Let o ( G ) be the average order of the elements of G, where G is a finite group. We show that there is no polynomial lower bound for o ( G ) in terms of o ( N ) , where N ⊴ G , even when G is a prime-power order group and N is abelian. This gives a negative answer to a question of A. Jaikin-Zapirain.

20D15 20C15 20E45Finite groupPolynomialAlgebra and Number TheoryGroup (mathematics)010102 general mathematicsGroup Theory (math.GR)01 natural sciencesUpper and lower boundsElement OrderCombinatoricsConjugacy class0103 physical sciencesFOS: MathematicsOrder (group theory)010307 mathematical physics0101 mathematicsAbelian groupMathematics - Group TheoryG110 Pure MathematicsMathematics
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Automorphisms of 2–dimensional right-angled Artin groups

2007

We study the outer automorphism group of a right-angled Artin group AA in the case where the defining graph A is connected and triangle-free. We give an algebraic description of Out.AA/ in terms of maximal join subgraphs in A and prove that the Tits’ alternative holds for Out.AA/. We construct an analogue of outer space for Out.AA/ and prove that it is finite dimensional, contractible, and has a proper action of Out.AA/. We show that Out.AA/ has finite virtual cohomological dimension, give upper and lower bounds on this dimension and construct a spine for outer space realizing the most general upper bound. 20F36; 20F65, 20F28

20F36outer spaceCohomological dimensionComputer Science::Digital LibrariesQuantitative Biology::Other01 natural sciencesContractible spaceUpper and lower boundsCombinatorics0103 physical sciences20F650101 mathematicsAlgebraic numberMathematics20F28Quantitative Biology::Biomolecules010102 general mathematicsAstrophysics::Instrumentation and Methods for AstrophysicsOuter automorphism groupAutomorphismGraphArtin groupright-angled Artin groups010307 mathematical physicsGeometry and Topologyouter automorphismsGeometry & Topology
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