Search results for "Multidisciplinary"

showing 10 items of 4640 documents

Magnetic Lifshitz transition and its consequences in multi-band iron-based superconductors

2017

In this paper we address Lifshitz transition induced by applied external magnetic field in a case of iron-based superconductors, in which a difference between the Fermi level and the edges of the bands is relatively small. We introduce and investigate a two-band model with intra-band pairing in the relevant parameters regime to address a generic behaviour of a system with hole-like and electron-like bands in external magnetic field. Our results show that two Lifshitz transitions can develop in analysed systems and the first one occurs in the superconducting phase and takes place at approximately constant magnetic field. The chosen sets of the model parameters can describe characteristic ban…

SuperconductivityPhysicsMultidisciplinaryStrongly Correlated Electrons (cond-mat.str-el)Condensed matter physicsCondensed Matter - SuperconductivityFermi levelPhase (waves)FOS: Physical sciences02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesArticleMagnetic fieldSuperconductivity (cond-mat.supr-con)Condensed Matter - Strongly Correlated Electronssymbols.namesakeIron basedPairing0103 physical sciencessymbols010306 general physics0210 nano-technologyConstant (mathematics)Electronic band structureScientific Reports
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Enhanced superconductivity in atomically thin TaS2

2016

The ability to exfoliate layered materials down to the single layer limit has presented the opportunity to understand how a gradual reduction in dimensionality affects the properties of bulk materials. Here we use this top–down approach to address the problem of superconductivity in the two-dimensional limit. The transport properties of electronic devices based on 2H tantalum disulfide flakes of different thicknesses are presented. We observe that superconductivity persists down to the thinnest layer investigated (3.5 nm), and interestingly, we find a pronounced enhancement in the critical temperature from 0.5 to 2.2 K as the layers are thinned down. In addition, we propose a tight-binding …

SuperconductivityWork (thermodynamics)Materials scienceScienceTantalumFOS: Physical sciencesGeneral Physics and Astronomychemistry.chemical_element02 engineering and technology01 natural sciencesArticleGeneral Biochemistry Genetics and Molecular BiologySuperconductivity (cond-mat.supr-con)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciences010306 general physicsSuperconductivitatSuperconductivityCoupling constantMultidisciplinaryCondensed Matter - Mesoscale and Nanoscale PhysicsAtomically thinCondensed matter physicsCondensed Matter - SuperconductivityQDisulfide bondFísicaGeneral ChemistryCiència dels materials021001 nanoscience & nanotechnologychemistry0210 nano-technologyLayer (electronics)Single layerCurse of dimensionality
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Coherent coupling between vortex bound states and magnetic impurities in 2D layered superconductors

2021

Bound states in superconductors are expected to exhibit a spatially resolved electron-hole asymmetry which is the hallmark of their quantum nature. This asymmetry manifests as oscillations at the Fermi wavelength, which is usually tiny and thus washed out by thermal broadening or by scattering at defects. Here we demonstrate theoretically and confirm experimentally that, when coupled to magnetic impurities, bound states in a vortex core exhibit an emergent axial electron-hole asymmetry on a much longer scale, set by the coherence length. We study vortices in 2H-NbSe2 and in 2H-NbSe1.8S0.2 with magnetic impurities, characterizing these with detailed Hubbard-corrected density functional calcu…

Superconductivityelectronic-structureScienceGeneral Physics and AstronomyFOS: Physical sciences01 natural sciences7. Clean energyTopologyGeneral Biochemistry Genetics and Molecular BiologyArticle010305 fluids & plasmasMarie curieSuperconducting properties and materialsSuperconductivity (cond-mat.supr-con)Condensed Matter - Strongly Correlated ElectronsMagnetic properties and materialsOriganumCondensed Matter::Superconductivity0103 physical sciencesBound stateMesoscale and Nanoscale Physics (cond-mat.mes-hall)010306 general physicsSuperconductivitatMaterialsSuperconductivityPhysicsMultidisciplinaryStrongly Correlated Electrons (cond-mat.str-el)Condensed Matter - Mesoscale and Nanoscale Physicsmajorana fermionsCondensed Matter - SuperconductivityQcoreFísicaGeneral ChemistrylineHumanities
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Sympathetic neurons can produce and respond to interleukin 6

1998

Neuronal expression of cytokines is an area of active investigation in the contexts of development, disease, and normal neural function. Although cultured rat sympathetic neurons respond very weakly to exogenous interleukin 6 (IL-6), we find that addition of soluble IL-6 receptor (sIL-6R) and IL-6 enhances neuronal survival in the absence of nerve growth factor. Neutralizing monoclonal antibodies against IL-6 block these effects. Addition of IL-6 and sIL-6R also induces a subset of neuropeptide and transmitter synthetic enzyme mRNAs identical to that demonstrated for leukemia inhibitory factor, ciliary neurotrophic factor, and oncostatin M. Both of these effects are duplicated by addition o…

Superior cervical ganglionmedicine.medical_specialtyCell SurvivalRecombinant Fusion ProteinsSuperior Cervical GanglionCiliary neurotrophic factorPC12 CellsRats Sprague-DawleyMiceParacrine signallingContactinsInternal medicinemedicineAnimalsNerve Growth FactorsRNA MessengerInterleukin 6Autocrine signallingNeural Cell Adhesion MoleculesCells CulturedNeuronsMultidisciplinarybiologyInterleukin-6Neuropeptides3T3 CellsBiological SciencesReceptors Interleukin-6RatsCell biologyAutocrine CommunicationNerve growth factorEndocrinologyAnimals Newbornbiology.proteinNeural cell adhesion moleculeLeukemia inhibitory factorCaltech Library ServicesProceedings of the National Academy of Sciences
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Machine learning for a combined electroencephalographic anesthesia index to detect awareness under anesthesia

2020

Spontaneous electroencephalogram (EEG) and auditory evoked potentials (AEP) have been suggested to monitor the level of consciousness during anesthesia. As both signals reflect different neuronal pathways, a combination of parameters from both signals may provide broader information about the brain status during anesthesia. Appropriate parameter selection and combination to a single index is crucial to take advantage of this potential. The field of machine learning offers algorithms for both parameter selection and combination. In this study, several established machine learning approaches including a method for the selection of suitable signal parameters and classification algorithms are a…

Support Vector MachinePhysiologyComputer scienceElectroencephalographycomputer.software_genreField (computer science)Machine Learning0302 clinical medicineLevel of consciousnessAnesthesiology030202 anesthesiologyMedicine and Health SciencesAnesthesiamedia_commonClinical NeurophysiologyAnesthesiology MonitoringBrain MappingMultidisciplinaryArtificial neural networkmedicine.diagnostic_testPharmaceuticsApplied MathematicsSimulation and ModelingQUnconsciousnessRElectroencephalographyNeuronal pathwayddc:ElectrophysiologyBioassays and Physiological AnalysisBrain ElectrophysiologyAnesthesiaPhysical SciencesEvoked Potentials AuditoryMedicinemedicine.symptomAlgorithmsAnesthetics IntravenousResearch ArticleComputer and Information SciencesConsciousnessImaging TechniquesCognitive NeuroscienceSciencemedia_common.quotation_subjectNeurophysiologyNeuroimagingAnesthesia GeneralResearch and Analysis MethodsBayesian inferenceMachine learningMachine Learning Algorithms03 medical and health sciencesConsciousness MonitorsDrug TherapyArtificial IntelligenceMonitoring IntraoperativeSupport Vector MachinesmedicineHumansMonitoring Physiologicbusiness.industryElectrophysiological TechniquesBiology and Life SciencesSupport vector machineStatistical classificationCognitive ScienceNeural Networks ComputerArtificial intelligenceClinical MedicineConsciousnessbusinesscomputerMathematics030217 neurology & neurosurgeryNeurosciencePLOS ONE
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Ricci-flow based conformal mapping of the proximal femur to identify exercise loading effects.

2018

AbstractThe causal relationship between habitual loading and adaptive response in bone morphology is commonly explored by analysing the spatial distribution of mechanically relevant features. In this study, 3D distribution of features in the proximal femur of 91 female athletes (5 exercise loading groups representing habitual loading) is contrasted with 20 controls. A femur specific Ricci-flow based conformal mapping procedure was developed for establishing correspondence among the periosteal surfaces. The procedure leverages the invariance of the conformal mapping method to isometric shape differences to align surfaces in the 2D parametric domain, to produce dense correspondences across an…

Surface (mathematics)AdultModels Anatomicfyysinen rasitusluulcsh:Medicine030209 endocrinology & metabolismConformal mapIsometric exerciseStatistical parametric mappingbonebiomechanicsArticle030218 nuclear medicine & medical imagingdifferentiaaligeometria03 medical and health sciencesYoung Adult0302 clinical medicinereisiluuStatistical inferenceImage Processing Computer-AssistedHumansFemurFemurdifferential geometrylcsh:ScienceExerciseParametric statisticsMathematicsMultidisciplinarybusiness.industrylcsh:RRicci flowPattern recognition217 Medical engineeringBiomechanical PhenomenaAthletesphysical stressCase-Control Studieslcsh:QfemurFemalebiomekaniikkaArtificial intelligencebusinessAlgorithmsScientific reports
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Biologically Inspired Model for Inference of 3D Shape from Texture.

2015

A biologically inspired model architecture for inferring 3D shape from texture is proposed. The model is hierarchically organized into modules roughly corresponding to visual cortical areas in the ventral stream. Initial orientation selective filtering decomposes the input into low-level orientation and spatial frequency representations. Grouping of spatially anisotropic orientation responses builds sketch-like representations of surface shape. Gradients in orientation fields and subsequent integration infers local surface geometry and globally consistent 3D depth. From the distributions in orientation responses summed in frequency, an estimate of the tilt and slant of the local surface can…

Surface (mathematics)PhysiologyVisual SystemVisionComputer scienceSensory PhysiologySocial Scienceslcsh:Medicine0302 clinical medicineAnimal CellsMedicine and Health SciencesPsychologylcsh:ScienceVisual CortexNeuronsMultidisciplinaryOrientation (computer vision)Physics05 social sciencesBrainCondensed Matter PhysicsSensory SystemsSignal FilteringPhysical SciencesVisual PerceptionEngineering and TechnologySensory PerceptionAnatomyCellular TypesAlgorithmsResearch ArticleSurface PropertiesMaterials ScienceMaterial PropertiesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGeometryModels BiologicalTexture (geology)050105 experimental psychology03 medical and health sciencesHumansVisual Pathways0501 psychology and cognitive sciencesRepresentation (mathematics)ComputingMethodologies_COMPUTERGRAPHICSCurvaturebusiness.industrylcsh:RBiology and Life SciencesPattern recognitionCell BiologyObject (computer science)Form PerceptionCellular NeuroscienceSignal ProcessingAnisotropylcsh:QArtificial intelligencebusinessMathematics030217 neurology & neurosurgeryNeurosciencePLoS ONE
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Quantifying the limits of transition state theory in enzymatic catalysis

2017

Significance Transition state theory (TST) is the most popular theory to calculate the rates of enzymatic reactions. However, in some cases TST could fail due to the violation of the nonrecrossing hypothesis at the transition state. In the present work we show that even for one of the most controversial enzymatic reactions—the hydride transfer catalyzed by dihydrofolate reductase—the error associated to TST represents only a minor correction to the reaction rate. Moreover, this error is actually larger for the reaction in solution than in the enzymatic active site. Based on this finding and on previous studies we propose an “enzymatic shielding” hypothesis which encompasses various aspects …

Surface (mathematics)enzymatic catalysisDegrees of freedom (statistics)Molecular Dynamics Simulation010402 general chemistry01 natural sciencesEnzyme catalysisReaction coordinateReaction rateTransition state theoryMolecular dynamicsdihydrofolate reductasetransmission coefficientComputational chemistry0103 physical sciencesHumansdynamic effectsStatistical physicsIonsMultidisciplinary010304 chemical physicsChemistryState (functional analysis)Biological Sciencesbacterial infections and mycoses0104 chemical sciencesChemistryBiophysics and Computational BiologyKineticsTetrahydrofolate Dehydrogenasetransition state theoryPhysical SciencesBiocatalysisProceedings of the National Academy of Sciences
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2D dynamical arrest transition in a mixed nanoparticle-phospholipid layer studied in real and momentum spaces

2015

AbstractWe investigate the interfacial dynamics of a 2D self-organized mixed layer made of silica nanoparticles interacting with phospholipid (DPPC) monolayers at the air/water interface. This system has biological relevance, allowing investigation of toxicological effects of nanoparticles on model membranes and lung surfactants. It might also provide bio-inspired technological solutions, exploiting the self-organization of DPPC to produce a non-trivial 2D structuration of nanoparticles. The characterization of interfacial dynamics yields information on the effects of NPs on the mechanical properties, important to improve performances of systems such as colloidosomes, foams, creams. For thi…

Surface PropertiesComputer sciencePhospholipidNanoparticleRELAXATIONCOLLOIDOSOMESRespiratory physiologySurface pressureArticleMomentumchemistry.chemical_compoundPhase (matter)MonolayerParticle SizeSILICA NANOPARTICLESPhospholipidsBrownian motionSimulation[PHYS]Physics [physics]MultidisciplinaryAirRelaxation (NMR)WaterPulmonary SurfactantsModels TheoreticalSilicon DioxideSURFACTANTCharacterization (materials science)MembranechemistryChemical physicsNanoparticlesWater chemistryParticle sizeCOLLOIDAL GLASS-TRANSITIONAlgorithmsScientific Reports
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Hidradenitis suppurativa in surgeons' practice: Prevalence and treatment approach according to the Hurley stage in Latvia

2020

Hidradenitis suppurativa (HS) is a chronic, recurrent, debilitating, and frequently misdiagnosed inflammatory skin disease that often requires surgical intervention. To assess the prevalence of HS patients in surgeons' practice and surgeons' approach to treating HS patients, we created a self-administered, Hurley stage-based questionnaire that was distributed during the Latvian Association of Surgeons meeting. Of the total 60 questionnaires distributed, 56 (93%) were collected and 53 (88%) of them were considered valid. Overall, 73.6% of the surgeons confirmed having seen patients with chronic inflamed suppurative lesions in the skin folds during their practice. Median reported number of HS…

Surgeonsmedicine.medical_specialtybusiness.industryInflammatory skin diseaseGeneral surgeryTopical antibioticsDermatologyGeneral MedicineStage iimedicine.diseaseMultidisciplinary teamLatviaSeverity of Illness IndexHidradenitis Suppurativa030207 dermatology & venereal diseases03 medical and health sciences0302 clinical medicineSystemic antibiotics030220 oncology & carcinogenesisPrevalencemedicineHumansHidradenitis suppurativaStage (cooking)businessDermatologic Therapy
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