Search results for "MATTER"

showing 10 items of 16762 documents

Uhlmann number in translational invariant systems

2019

We define the Uhlmann number as an extension of the Chern number, and we use this quantity to describe the topology of 2D translational invariant Fermionic systems at finite temperature. We consider two paradigmatic systems and we study the changes in their topology through the Uhlmann number. Through the linear response theory we linked two geometrical quantities of the system, the mean Uhlmann curvature and the Uhlmann number, to directly measurable physical quantities, i.e. the dynamical susceptibility and to the dynamical conductivity, respectively.

0301 basic medicineSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciMathematics::Analysis of PDEsFOS: Physical scienceslcsh:MedicineCurvatureArticleCondensed Matter - Strongly Correlated Electrons03 medical and health sciences0302 clinical medicineTopological insulatorsInvariant (mathematics)lcsh:ScienceCondensed Matter - Statistical MechanicsMathematicsMathematical physicsPhysical quantityQuantum PhysicsMultidisciplinaryChern classStatistical Mechanics (cond-mat.stat-mech)Strongly Correlated Electrons (cond-mat.str-el)lcsh:RUhlmann number Chern number 2D topological Fermionic systems finite temperature dynamical susceptibility dynamical conductivity030104 developmental biologylcsh:QQuantum Physics (quant-ph)Theoretical physicsLinear response theory030217 neurology & neurosurgeryScientific Reports
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A new twist on sea silk : the peculiar protein ultrastructure of fan shell and pearl oyster byssus

2018

11 pages; International audience; Numerous mussel species produce byssal threads - tough proteinaceous fibers, which anchor mussels in aquatic habitats. Byssal threads from Mytilus species, which are comprised of modified collagen proteins - have become a veritable archetype for bio-inspired polymers due to their self-healing properties. However, threads from different species are comparatively much less understood. In particular, the byssus of Pinna nobilis comprises thousands of fine fibers utilized by humans for millennia to fashion lightweight golden fabrics known as sea silk. P. nobilis is very different from Mytilus from an ecological, morphological and evolutionary point of view and …

0301 basic medicineSilkZoologyProtein Aggregates03 medical and health sciencesBiomimeticsAnimalsPinctada fucataPinnidaebiologyAnimalChemistry (all)General ChemistryMusselCondensed Matter Physicsbiology.organism_classificationMytilusBivalvia[SDV.BBM.BS]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biomolecules [q-bio.BM]030104 developmental biologySILKByssusUltrastructureBiomimeticProtein AggregatePinna nobilis
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Retrieving infinite numbers of patterns in a spin-glass model of immune networks

2013

The similarity between neural and immune networks has been known for decades, but so far we did not understand the mechanism that allows the immune system, unlike associative neural networks, to recall and execute a large number of memorized defense strategies {\em in parallel}. The explanation turns out to lie in the network topology. Neurons interact typically with a large number of other neurons, whereas interactions among lymphocytes in immune networks are very specific, and described by graphs with finite connectivity. In this paper we use replica techniques to solve a statistical mechanical immune network model with `coordinator branches' (T-cells) and `effector branches' (B-cells), a…

0301 basic medicineSimilarity (geometry)Spin glassComputer sciencestatistical mechanicFOS: Physical sciencesGeneral Physics and AstronomyNetwork topologyTopology01 natural sciencesQuantitative Biology::Cell Behavior03 medical and health sciencesCell Behavior (q-bio.CB)0103 physical sciencesattractor neural-networks; statistical mechanics; brain networks; Physics and Astronomy (all)Physics - Biological Physics010306 general physicsAssociative propertybrain networkArtificial neural networkMechanism (biology)ErgodicityDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksAcquired immune system030104 developmental biologyBiological Physics (physics.bio-ph)FOS: Biological sciencesattractor neural-networkQuantitative Biology - Cell Behavior
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Ecological network analysis reveals the inter-connection between soil biodiversity and ecosystem function as affected by land use across Europe

2016

Soil organisms are considered drivers of soil ecosystem services (primary productivity, nutrient cycling, carbon cycling, water regulation) associated with sustainable agricultural production. Soil biodiversity was highlighted in the soil thematic strategy as a key component of soil quality. The lack of quantitative standardised data at a large scale has resulted in poor understanding of how soil biodiversity could be incorporated into legislation for the protection of soil quality. In 2011, the EcoFINDERS (FP7) project sampled 76 sites across 11 European countries, covering five biogeographical zones (Alpine, Atlantic, Boreal, Continental and Mediterranean) and three land-uses (arable, gra…

0301 basic medicineSoil biodiversityNitrogenSoil biology[SDV]Life Sciences [q-bio]DIVERSITYSoil ScienceCarbon cycling and storageWiskundige en Statistische Methoden - BiometrisNutrient cyclingARBUSCULAR MYCORRHIZAL FUNGIFOOD WEBS03 medical and health sciencesFOREST SOILCARBON SEQUESTRATIONSoil functionsSoil ecologyQUALITYMICROBIAL COMMUNITIESMathematical and Statistical Methods - BiometrisBodembiologie2. Zero hungerSoil healthEcologyEcologySoil organic matterUSE SYSTEMSPhosphorus04 agricultural and veterinary sciencesSoil carbonSoil Biology15. Life on landPE&RCAgricultural and Biological Sciences (miscellaneous)Soil qualitySoil biodiversityTERRESTRIAL ECOSYSTEMS030104 developmental biologyAgronomyinternational040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceEXTRACELLULAR ENZYME-ACTIVITIESEcosystem functionNetwork analysis
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Gene-based and semantic structure of the Gene Ontology as a complex network

2012

The last decade has seen the advent and consolidation of ontology based tools for the identification and biological interpretation of classes of genes, such as the Gene Ontology. The information accumulated time-by-time and included in the GO is encoded in the definition of terms and in the setting up of semantic relations amongst terms. This approach might be usefully complemented by a bottom-up approach based on the knowledge of relationships amongst genes. To this end, we investigate the Gene Ontology from a complex network perspective. We consider the semantic network of terms naturally associated with the semantic relationships provided by the Gene Ontology consortium and a gene-based …

0301 basic medicineStatistics and ProbabilityFOS: Computer and information sciencesPhysics - Physics and SocietyComplex systemComputer scienceMolecular Networks (q-bio.MN)Complex systemFOS: Physical sciencesNetworkCondensed Matter PhysicPhysics and Society (physics.soc-ph)computer.software_genreQuantitative Biology - Quantitative MethodsStatistics - ApplicationsGeneSemantic network03 medical and health sciencesSemantic similarityQuantitative Biology - Molecular NetworksApplications (stat.AP)GeneQuantitative Methods (q-bio.QM)Community detectionGene ontologybusiness.industryOntologyOntology-based data integrationComplex networkCondensed Matter PhysicsBipartite system030104 developmental biologyBipartite system; Community detection; Complex systems; Genes; Networks; Ontology; Condensed Matter Physics; Statistics and ProbabilityFOS: Biological sciencesOntologyWeighted networkData miningArtificial intelligenceComputingMethodologies_GENERALbusinesscomputerNatural language processing
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A deterministic model for highly contagious diseases: The case of varicella

2016

[EN] The classic nonlinear Kermack-McKendrick model based upon a system of differential equations has been widely applied to model the rise and fall of global pandemic and also seasonal epidemic by introducing a forced harmonic infectivity which would change throughout the year. These methods work well in their respective domains of applicability, and for certain diseases, but they fail when both seasonality and high infectivity are combined. In this paper we consider a Susceptible-Infected-Recovered, or SIR, model with two latent states to model the propagation and evolutionary history of varicella in humans. We show that infectivity can be calculated from real data and we find a nonstanda…

0301 basic medicineStatistics and ProbabilityInfectivity030106 microbiologyBiologyHighly contagious diseasesInfectivity evolutionCondensed Matter PhysicsVaricella03 medical and health sciences0302 clinical medicineSystem of differential equationsPandemicEconometrics030212 general & internal medicineMATEMATICA APLICADACompartmental models
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Competing species system as a qualitative model of radiation therapy

2016

To examine complex features of tumor dynamics we analyze a competing-species lattice model that takes into account the competition for nutrients or space as well as interaction with therapeutic factors such as drugs or radiation. Our model might be interpreted as a certain prey–predator system having three trophic layers: (i) the basal species that might be interpreted as nutrients; (ii) normal and tumor cells that consume nutrients, and (iii) therapeutic factors that might kill either nutrient, normal or tumor cells. Using a wide spectrum of parameters we examined survival of our species and tried to identify the corresponding dynamical regimes. It was found that the radiotherapy influence…

0301 basic medicineStatistics and Probabilitymedicine.medical_treatmentmedia_common.quotation_subjectTumor cellsLimitingBiologyCondensed Matter Physics01 natural sciencesCompetition (biology)Radiation therapy03 medical and health sciences030104 developmental biologyNutrientAbundance (ecology)0103 physical sciencesmedicineBiophysicsTumor growth010306 general physicsTrophic levelmedia_commonPhysica A: Statistical Mechanics and its Applications
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Characterizing microstructural tissue properties in multiple sclerosis with diffusion MRI at 7 T and 3 T: The impact of the experimental design

2019

The recent introduction of advanced magnetic resonance (MR) imaging techniques to characterize focal and global degeneration in multiple sclerosis (MS), like the Composite Hindered and Restricted Model of Diffusion, or CHARMED, diffusional kurtosis imaging (DKI) and Neurite Orientation Dispersion and Density Imaging (NODDI) made available new tools to image axonal pathology non-invasively in vivo. These methods already showed greater sensitivity and specificity compared to conventional diffusion tensor-based metrics (e.g., fractional anisotropy), overcoming some of its limitations. While previous studies uncovered global and focal axonal degeneration in MS patients compared to healthy contr…

0301 basic medicineTime FactorsUltra-high field MRIAxonal pathologyCohort Studies0302 clinical medicineNuclear magnetic resonancemethods [Diffusion Magnetic Resonance Imaging]MicrostructureNODDImedicine.diagnostic_testGeneral NeuroscienceWATER DIFFUSIONmedicine.anatomical_structureResearch DesignKurtosisMulti-shell diffusion MRIAxonal degenerationWHITE-MATTERTENSORAdultMaterials sciencetherapy [Multiple Sclerosis]Sensitivity and SpecificityWhite matterMultiple sclerosis03 medical and health sciencesFractional anisotropyImage Interpretation Computer-Assistedmedicinediagnostic imaging [Nerve Degeneration]Journal ArticleHumansddc:610OPTIMIZATIONMultiple sclerosisinstrumentation [Diffusion Magnetic Resonance Imaging]diagnostic imaging [Multiple Sclerosis]Magnetic resonance imagingQUANTIFICATIONmedicine.diseaseMODELPATHOLOGYDiffusion Magnetic Resonance Imaging030104 developmental biologyRESOLUTIONDENSITYNerve Degeneration030217 neurology & neurosurgeryDiffusion MRI
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Fractional hereditariness of lipid membranes: Instabilities and linearized evolution

2016

In this work lipid ordering phase changes arising in planar membrane bilayers is investigated both accounting for elas- ticity alone and for effective viscoelastic response of such assemblies. The mechanical response of such membranes is studied by minimizing the Gibbs free energy which penalizes perturbations of the changes of areal stretch and their gradients only [1]. As material instabilities arise whenever areal stretches characterizing homogeneous configurations lie inside the spinoidal zone of the free energy density, bifurcations from such configurations are shown to occur as oscillatory perturbations of the in-plane displacement. Experimental observations [2] show a power-law in-pl…

0301 basic medicineViscoelastic lipid membranePhase transitionMembrane Fluidity0206 medical engineeringLipid BilayersBiomedical EngineeringSeparation of variablesFOS: Physical sciences02 engineering and technologyviscoelastic lipid membranesCondensed Matter - Soft Condensed Matterfractional hereditary lipid membranesViscoelasticityFractional hereditary lipid membraneMaterial instabilitieBiomaterials03 medical and health sciencessymbols.namesakeFractional hereditary lipid membranes; Material instabilities; Phase transitions; Viscoelastic lipid membranes; Biomaterials; Biomedical Engineering; Mechanics of MaterialsVariational principleElasticity (economics)Phase transitionMembranesChemistryOscillationTime evolutionBiomaterial020601 biomedical engineeringElasticityGibbs free energyphase transitions030104 developmental biologyClassical mechanicsModels ChemicalMechanics of MaterialssymbolsSoft Condensed Matter (cond-mat.soft)material instabilitiesSettore ICAR/08 - Scienza Delle Costruzionifractional hereditary lipid membranes viscoelastic lipid membranes phase transitions material instabilities
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Phase separations induced by a trapping potential in one-dimensional fermionic systems as a source of core-shell structures

2018

Ultracold fermionic gases in optical lattices give a great opportunity for creating different types of novel states. One of them is phase separation induced by a trapping potential between different types of superfluid phases. The core-shell structures, occurring in systems with a trapping potential, are a good example of such separations. The types and the sequences of phases which emerge in such structures can depend on spin-imbalance, shape of the trap and on-site interaction strength. In this work, we investigate the properties of such structures within an attractive Fermi gas loaded in the optical lattice, in the presence of the trapping potential and their relations to the phase diagr…

0301 basic medicineWork (thermodynamics)lcsh:MedicineFOS: Physical sciencesTrappingMolecular physicsArticleSuperconducting properties and materialsTrap (computing)Superfluidity03 medical and health sciences0302 clinical medicinePhase (matter)lcsh:ScienceUltracold gasesPhase diagramPhysicsCondensed Matter::Quantum GasesOptical latticeMultidisciplinarylcsh:R030104 developmental biologyQuantum Gases (cond-mat.quant-gas)lcsh:QCondensed Matter - Quantum GasesFermi gas030217 neurology & neurosurgery
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