Search results for "FOS: Physical sciences"

showing 10 items of 11429 documents

Flux flow spin Hall effect in type-II superconductors with spin-splitting field

2019

We predict the very large spin Hall effect in type-II superconductors which mechanism is drastically different from the previously known ones. We find that in the flux-flow regime the spin is transported by the spin-polarized Abrikosov vortices moving under the action of the Lorenz force in the direction perpendicular to the applied electric current. Due to the large vortex velocities the spin Hall angle can be of the order of unity in realistic systems based on the high-field superconductors or the recently developed superconductor/ferromagnetic insulator proximity structures. We propose the realization of high-frequency pure spin current generator based on the periodic structure of moving…

0301 basic medicineFOS: Physical scienceslcsh:MedicineArticlesuprajohteetSuperconductivity (cond-mat.supr-con)03 medical and health sciencessymbols.namesake0302 clinical medicineCondensed Matter::SuperconductivityMesoscale and Nanoscale Physics (cond-mat.mes-hall)lcsh:ScienceSuperconductivityPhysicsMultidisciplinaryCondensed Matter - Mesoscale and Nanoscale PhysicsCondensed matter physicsspin Hall effectCondensed Matter - Superconductivitylcsh:RVortex030104 developmental biologyFerromagnetismSpin Hall effectsymbolsCondensed Matter::Strongly Correlated Electronslcsh:QElectric currentLorentz forceType-II superconductor030217 neurology & neurosurgeryVoltageScientific Reports
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Conformational dynamics of a single protein monitored for 24 hours at video rate

2018

We use plasmon rulers to follow the conformational dynamics of a single protein for up to 24 h at a video rate. The plasmon ruler consists of two gold nanospheres connected by a single protein linker. In our experiment, we follow the dynamics of the molecular chaperone heat shock protein 90 (Hsp90), which is known to show “open” and “closed” conformations. Our measurements confirm the previously known conformational dynamics with transition times in the second to minute time scale and reveals new dynamics on the time scale of minutes to hours. Plasmon rulers thus extend the observation bandwidth 3–4 orders of magnitude with respect to single-molecule fluorescence resonance energy transfer a…

0301 basic medicineLetterProtein ConformationMolecular ConformationFOS: Physical sciencesHsp90Bioengineeringsingle molecule02 engineering and technology7. Clean energyQuantitative Biology - Quantitative Methods03 medical and health sciencesMolecular dynamicsFluorescence Resonance Energy TransferNanotechnologyGeneral Materials ScienceHSP90 Heat-Shock ProteinsPhysics - Biological PhysicsQuantitative Methods (q-bio.QM)PlasmonPhysicsVideo rateMechanical EngineeringProtein dynamics92Biomolecules (q-bio.BM)General ChemistrySurface Plasmon Resonance021001 nanoscience & nanotechnologyCondensed Matter PhysicsGold nanospheres030104 developmental biologyFörster resonance energy transferQuantitative Biology - BiomoleculesBiological Physics (physics.bio-ph)Chemical physicsFOS: Biological sciencesprotein dynamicsPlasmon rulernonergodicityGold0210 nano-technologyLinker
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Prediction of ferroelectricity-driven Berry curvature enabling charge- and spin-controllable photocurrent in tin telluride monolayers

2019

In symmetry-broken crystalline solids, pole structures of Berry curvature (BC) can emerge, and they have been utilized as a versatile tool for controlling transport properties. For example, the monopole component of the BC is induced by the time-reversal symmetry breaking, and the BC dipole arises from a lack of inversion symmetry, leading to the anomalous Hall and nonlinear Hall effects, respectively. Based on first-principles calculations, we show that the ferroelectricity in a tin telluride monolayer produces a unique BC distribution, which offers charge- and spin-controllable photocurrents. Even with the sizable band gap, the ferroelectrically driven BC dipole is comparable to those of …

0301 basic medicineMaterials scienceBand gapSciencePoint reflectionGeneral Physics and AstronomyFOS: Physical sciences02 engineering and technologyGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health scienceschemistry.chemical_compoundCondensed Matter::Materials ScienceNanoscience and technologyMonolayerMesoscale and Nanoscale Physics (cond-mat.mes-hall)Symmetry breakinglcsh:ScienceCondensed Matter - Materials ScienceMultidisciplinaryCondensed matter physicsCondensed Matter - Mesoscale and Nanoscale PhysicsPhysicsQMaterials Science (cond-mat.mtrl-sci)General Chemistry021001 nanoscience & nanotechnologyCondensed Matter::Mesoscopic Systems and Quantum Hall EffectFerroelectricityMaterials scienceTin tellurideDipole030104 developmental biologychemistrylcsh:QBerry connection and curvature0210 nano-technology
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Mapping brain activity with flexible graphene micro-transistors

2016

arXiv:1611.05693v1.-- et al.

0301 basic medicineMaterials scienceFOS: Physical sciences02 engineering and technologylaw.invention03 medical and health scienceslawGeneral Materials ScienceElectronicsPhysics - Biological PhysicsNeural implantsBioelectronicsBioelectronicsbusiness.industryGrapheneSensorsMechanical EngineeringTransistorGeneral Chemistry021001 nanoscience & nanotechnologyCondensed Matter PhysicsField-effect transistorsMicroelectrodeBrain implant030104 developmental biologyBiological Physics (physics.bio-ph)Mechanics of MaterialsFOS: Biological sciencesQuantitative Biology - Neurons and CognitionOptoelectronicsNeurons and Cognition (q-bio.NC)Charge carrierField-effect transistorGraphene0210 nano-technologybusiness2D Materials
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Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans

2020

In vivo measurements of muscle architecture (i.e. the spatial arrangement of muscle fascicles) are routinely included in research and clinical settings to monitor muscle structure, function and plasticity. However, in most cases such measurements are performed manually, and more reliable and time-efficient automated methods are either lacking completely, or are inaccessible to those without expertise in image analysis. In this work, we propose an ImageJ script to automate the entire analysis process of muscle architecture in ultrasound images: Simple Muscle Architecture Analysis (SMA). Images are filtered in the spatial and frequency domains with built-in commands and external plugins to hi…

0301 basic medicineMuscle PhysiologyMuscle FunctionsPhysiologyComputer sciencelihaksetDiagnostic RadiologyComputer ArchitectureWorkflowtukikudoksetultrasound imaging0302 clinical medicineSoftwareUltrasound ImagingMedicine and Health SciencesImage Processing Computer-AssistedComputer visionMacroTissues and Organs (q-bio.TO)Musculoskeletal Systemconnective tissueUltrasonographyMultidisciplinaryOrientation (computer vision)Radiology and ImagingMusclesQImage and Video Processing (eess.IV)Gastrocnemius MusclesUltrasoundRultraääniMuscle AnalysisFascicleSMA*Bioassays and Physiological Analysismedicine.anatomical_structureConnective TissueMedicinemuscle analysisAnatomyResearch ArticleComputer and Information SciencesImaging TechniquesScienceFOS: Physical sciencesConnective tissueImage processingmuscle functionsImage Analysisgastrocnemius musclesResearch and Analysis Methods03 medical and health sciencesimage analysisDiagnostic MedicineImage Interpretation Computer-AssistedFOS: Electrical engineering electronic engineering information engineeringmedicineHumanskaksoiskantalihascomputer architectureRM695_Physicalbusiness.industryBiology and Life SciencesQuantitative Biology - Tissues and Organs030229 sport sciencesElectrical Engineering and Systems Science - Image and Video ProcessingPhysics - Medical PhysicsQPimaging techniquesBiological Tissue030104 developmental biologykuva-analyysiFOS: Biological sciencesMedical Physics (physics.med-ph)Artificial intelligenceMuscle architecturebusinessSoftware
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Weakly coupled map lattice models for multicellular patterning and collective normalization of abnormal single-cell states

2017

We present a weakly coupled map lattice model for patterning that explores the effects exerted by weakening the local dynamic rules on model biological and artificial networks composed of two-state building blocks (cells). To this end, we use two cellular automata models based on: (i) a smooth majority rule (model I) and (ii) a set of rules similar to those of Conway's Game of Life (model II). The normal and abnormal cell states evolve according with local rules that are modulated by a parameter $\kappa$. This parameter quantifies the effective weakening of the prescribed rules due to the limited coupling of each cell to its neighborhood and can be experimentally controlled by appropriate e…

0301 basic medicineNormalization (statistics)Majority ruleTime FactorsFOS: Physical sciencesAbnormal cellPattern Formation and Solitons (nlin.PS)Models BiologicalCell Physiological PhenomenaCombinatorics03 medical and health sciences0302 clinical medicineCell Behavior (q-bio.CB)Physics - Biological PhysicsGame of lifeMathematicsCellular Automata and Lattice Gases (nlin.CG)Artificial networksNonlinear Sciences - Pattern Formation and SolitonsCellular automatonMulticellular organism030104 developmental biologyBiological Physics (physics.bio-ph)030220 oncology & carcinogenesisFOS: Biological sciencesQuantitative Biology - Cell BehaviorBiological systemNonlinear Sciences - Cellular Automata and Lattice GasesCoupled map lattice
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Extricating New Physics Scenarios at DUNE with High Energy Beams

2017

The proposed Deep Underground Neutrino Experiment (DUNE) utilizes a wide-band on-axis tunable muon-(anti)neutrino beam with a baseline of 1300 km to search for CP violation with high precision. Given the long baseline, DUNE is also sensitive to effects due to non-standard neutrino interactions (NSI) which can interfere with the standard 3-flavor oscillation paradigm. In this Letter, we exploit the tunability of the DUNE neutrino beam over a wide-range of energies and utilize a new theoretical metric to devise an experimental strategy for separating oscillation effects due to NSI from the standard 3-flavor oscillation scenario. Using our metric, we obtain an optimal combination of beam tunes…

0301 basic medicineParticle physicsPhysics::Instrumentation and DetectorsPhysics beyond the Standard ModelFOS: Physical scienceslcsh:MedicineArticleHigh Energy Physics - Experiment03 medical and health sciencesHigh Energy Physics - Experiment (hep-ex)0302 clinical medicineHigh Energy Physics - Phenomenology (hep-ph)Deep Underground Neutrino ExperimentNeutrino oscillationlcsh:SciencePhysicsMultidisciplinaryOscillationlcsh:RHigh Energy Physics::PhenomenologyHigh Energy Physics - Phenomenology030104 developmental biologyCP violationlcsh:QHigh Energy Physics::ExperimentNeutrino030217 neurology & neurosurgeryEnergy (signal processing)Beam (structure)
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Wavelength selection of rippling patterns in myxobacteria

2016

Rippling patterns of myxobacteria appear in starving colonies before they aggregate to form fruiting bodies. These periodic traveling cell density waves arise from the coordination of individual cell reversals, resulting from an internal clock regulating them, and from contact signaling during bacterial collisions. Here we revisit a mathematical model of rippling in myxobacteria due to Igoshin et al.\ [Proc. Natl. Acad. Sci. USA {\bf 98}, 14913 (2001) and Phys. Rev. E {\bf 70}, 041911 (2004)]. Bacteria in this model are phase oscillators with an extra internal phase through which they are coupled to a mean-field of oppositely moving bacteria. Previously, patterns for this model were obtaine…

0301 basic medicinePeriodicityPhase transitionPhase (waves)FOS: Physical sciencesModels BiologicalMotion03 medical and health sciencesQuantum mechanicsWavenumberComputer SimulationMyxococcalesPhysics - Biological PhysicsCondensed Matter - Statistical MechanicsPhysicsStatistical Mechanics (cond-mat.stat-mech)Kuramoto modelNonlinear systemWavelength030104 developmental biologyClassical mechanicsNonlinear DynamicsMean field theoryBiological Physics (physics.bio-ph)RipplingLinear Models
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Physical mechanisms of micro- and nanodomain formation in multicomponent lipid membranes.

2016

This article summarizes a variety of physical mechanisms proposed in the literature, which can generate micro- and nanodomains in multicomponent lipid bilayers and biomembranes. It mainly focusses on lipid-driven mechanisms that do not involve direct protein-protein interactions. Specifically, it considers (i) equilibrium mechanisms based on lipid-lipid phase separation such as critical cluster formation close to critical points, and multiple domain formation in curved geometries, (ii) equilibrium mechanisms that stabilize two-dimensional microemulsions, such as the effect of linactants and the effect of curvature-composition coupling in bilayers and monolayers, and (iii) non-equilibrium me…

0301 basic medicinePhase transitionCytoplasmCritical phenomenaLipid BilayersBiophysicsFOS: Physical sciencesCondensed Matter - Soft Condensed MatterMolecular Dynamics SimulationBiochemistryPhase TransitionQuantitative Biology::Subcellular Processes03 medical and health sciencesSurface-Active AgentsMembrane MicrodomainsMonolayerCluster (physics)AnimalsHumansMicroemulsionPhysics - Biological PhysicsLipid bilayerPhysics::Biological PhysicsBacteriaChemistryBiological membraneCell BiologyCrystallographyActin CytoskeletonKinetics030104 developmental biologyMembraneBiological Physics (physics.bio-ph)Chemical physicsSoft Condensed Matter (cond-mat.soft)ThermodynamicsEmulsionsSignal TransductionBiochimica et biophysica acta. Biomembranes
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Stochastic sampling effects favor manual over digital contact tracing.

2020

Isolation of symptomatic individuals, tracing and testing of their nonsymptomatic contacts are fundamental strategies for mitigating the current COVID-19 pandemic. The breaking of contagion chains relies on two complementary strategies: manual reconstruction of contacts based on interviews and a digital (app-based) privacy-preserving contact tracing. We compare their effectiveness using model parameters tailored to describe SARS-CoV-2 diffusion within the activity-driven model, a general empirically validated framework for network dynamics. We show that, even for equal probability of tracing a contact, manual tracing robustly performs better than the digital protocol, also taking into accou…

0301 basic medicinePhysics - Physics and SocietyComputer scienceEpidemiologyScienceComplex networksFOS: Physical sciencesGeneral Physics and AstronomyPhysics and Society (physics.soc-ph)Tracingcomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyArticleSpecimen Handling03 medical and health sciences0302 clinical medicineHumans030212 general & internal medicineQuantitative Biology - Populations and EvolutionPandemicsCondensed Matter - Statistical Mechanicsstochastic modelProtocol (science)Stochastic ProcessesMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)Stochastic processDiagnostic Tests RoutineSARS-CoV-2QPopulations and Evolution (q-bio.PE)Sampling (statistics)COVID-19General ChemistryComplex networkModels TheoreticalNetwork dynamics030104 developmental biologyFOS: Biological sciencesScalabilityQuarantineData miningContact TracingcomputerContact tracingAlgorithmsNature communications
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