Search results for "ddc:5"

showing 10 items of 1717 documents

Methionine in a protein hydrophobic core drives tight interactions required for assembly of spider silk

2019

Web spiders connect silk proteins, so-called spidroins, into fibers of extraordinary toughness. The spidroin N-terminal domain (NTD) plays a pivotal role in this process: it polymerizes spidroins through a complex mechanism of dimerization. Here we analyze sequences of spidroin NTDs and find an unusually high content of the amino acid methionine. We simultaneously mutate all methionines present in the hydrophobic core of a spidroin NTD from a nursery web spider’s dragline silk to leucine. The mutated NTD is strongly stabilized and folds at the theoretical speed limit. The structure of the mutant is preserved, yet its ability to dimerize is substantially impaired. We find that side chains of…

congenital hereditary and neonatal diseases and abnormalitiesProtein Foldinggenetic structuresProtein ConformationScienceSilkmacromolecular substancesCircular dichroismcomplex mixturesArticleMethionineddc:590ddc:570AnimalsAmino Acid Sequencelcsh:ScienceFluorescence spectroscopySequence Homology Amino AcidfungiQtechnology industry and agricultureSpidersSpectrometry FluorescenceMutationThermodynamicslcsh:QProtein MultimerizationFibroinsSolution-state NMRHydrophobic and Hydrophilic InteractionsAlgorithmsNature Communications
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Computational methods and theory for ion channel research

2022

Ion channels are fundamental biological devices that act as gates in order to ensure selective ion transport across cellular membranes; their operation constitutes the molecular mechanism through which basic biological functions, such as nerve signal transmission and muscle contraction, are carried out. Here, we review recent results in the field of computational research on ion channels, covering theoretical advances, state-of-the-art simulation approaches, and frontline modeling techniques. We also report on few selected applications of continuum and atomistic methods to characterize the mechanisms of permeation, selectivity, and gating in biological and model channels.

continuum modelsmolecular dynamicselectivityIon channels; biomimetic nanopores; conductance; continuum models; gating; machine learning; molecular dynamics; rare events; selectivityGeneral Physics and AstronomyArticlemolecular dynamicsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)rare eventsmachine learningcontinuum modelIon channelsgatingddc:530biomimetic nanoporesIon channelbiomimetic nanoporerare eventconductance
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Search for Cosmic Neutrino Point Sources with Four Year Data of the ANTARES Telescope

2012

In this paper, a time-integrated search for point sources of cosmic neutrinos is presented using the data collected from 2007 to 2010 by the ANTARES neutrino telescope. No statistically significant signal has been found and upper limits on the neutrino flux have been obtained. Assuming an E ¿2 n; spectrum, these flux limits are at 1-10 ¿10¿8 GeV cm¿2 s¿1 for declinations ranging from ¿90° to 40°. Limits for specific models of RX J1713.7¿3946 and Vela X, which include information on the source morphology and spectrum, are also given.

cosmic neutrinosUNIVERSEFluxVela01 natural scienceslaw.inventionHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)lawSIGNALSABSORPTION[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]MAXIMUM-LIKELIHOOD010303 astronomy & astrophysicsATMOSPHERIC MUONSPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)COSMIC cancer database[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]ASTRONOMYneutrinosastroparticle physicsFísica nuclearNeutrinoAstrophysics - High Energy Astrophysical PhenomenaREMNANT RX J1713.7-3946Particle physics[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Astrophysics::High Energy Astrophysical PhenomenaNeutrino telescope[SDU.STU]Sciences of the Universe [physics]/Earth SciencesFOS: Physical sciencesddc:500.2Telescopeneutrinos; cosmic rays; astroparticle physicscosmic rays0103 physical sciencesPoint (geometry)ALGORITHMNeutrinosDETECTORCosmic raysUNDERWATER CHERENKOV NEUTRINO TELESCOPES010308 nuclear & particles physicsAstronomy and AstrophysicsHIGH-ENERGY PHOTONSSpace and Planetary ScienceFISICA APLICADAAstroparticle physics
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Probing the origin of ultra-high-energy cosmic rays with neutrinos in the EeV energy range using the Pierre Auger Observatory

2019

Neutrinos with energies above 1017 eV are detectable with the Surface Detector Array of the Pierre Auger Observatory. The identification is efficiently performed for neutrinos of all flavors interacting in the atmosphere at large zenith angles, as well as for Earth-skimming τ neutrinos with nearly tangential trajectories relative to the Earth. No neutrino candidates were found in ∼ 14.7 years of data taken up to 31 August 2018. This leads to restrictive upper bounds on their flux. The 90% C.L. single-flavor limit to the diffuse flux of ultra-high-energy neutrinos with an Eν -2 spectrum in the energy range 1.0 × 1017 eV -2.5 × 1019 eV is E2 dNν/dEν < 4.4 × 10-9 GeV cm-2 s-1 sr-1, placing str…

cosmological neutrinosAstronomyFluxAstrophysics01 natural sciences7. Clean energycosmic ray experiments; cosmological neutrinos; neutrino astronomy; ultra high energy cosmic rayssurface [detector]Ultra-high-energy cosmic rayPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)cosmological neutrinoSettore FIS/01 - Fisica SperimentaleDETETORESneutrino: UHEUHE [neutrino]Augerobservatorytrajectoryneutrino: flavorProduction (computer science)NeutrinoAstrophysics - High Energy Astrophysical PhenomenaAstrophysics::High Energy Astrophysical PhenomenaUHE [cosmic radiation]FOS: Physical sciencescosmic ray experimentCosmic rayultra high energy cosmic raysneutrino: productionneutrino astronomyproduction [neutrino]TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0103 physical sciencesddc:530model [neutrino]High Energy Physicscosmic radiation: UHEZenithAstrophysiqueneutrino: modelPierre Auger ObservatorySPECTRUM010308 nuclear & particles physicsdetector: surfaceHigh Energy Physics::Phenomenologyflavor [neutrino]Astronomy and AstrophysicsAstronomiefluxExperimental High Energy PhysicsatmosphereHigh Energy Physics::Experimentcosmic ray experiments[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Energy (signal processing)
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Imaging Spin Dynamics on the Nanoscale Using X-Ray Microscopy

2015

The dynamics of emergent magnetic quasiparticles, such as vortices, domain walls and bubbles are studied by scanning transmission X-ray microscopy (STXM), combining magnetic (XMCD) contrast with about 25 nm lateral resolution as well as 70 ps time resolution. Essential progress in the understanding of magnetic vortex dynamics is achieved by vortex core reversal observed by sub-GHz excitation of the vortex gyromode, either by ac magnetic fields or spin transfer torque. The basic switching scheme for this vortex core reversal is the generation of a vortex-antivortex pair. Much faster vortex core reversal is obtained by exciting azimuthal spin wave modes with (multi-GHz) rotating magnetic fiel…

coupled modesdomain wallsPhysicsCondensed Matter::Superconductivityvortex core reversalspin-transfer-torqueX-ray microscopyddc:530vortex dynamicsspin wavesnano wires
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Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands

2019

Aim Species-area relationships (SARs) are fundamental scaling laws in ecology although their shape is still disputed. At larger areas, power laws best represent SARs. Yet, it remains unclear whether SARs follow other shapes at finer spatial grains in continuous vegetation. We asked which function describes SARs best at small grains and explored how sampling methodology or the environment influence SAR shape. Location Palaearctic grasslands and other non-forested habitats. Taxa Vascular plants, bryophytes and lichens. Methods We used the GrassPlot database, containing standardized vegetation-plot data from vascular plants, bryophytes and lichens spanning a wide range of grassland types throu…

curvesshapesspecies– area relationship (SAR)Michaelis–Menten functionBiomeGrasslandVegetation typelogarithmic functionTaxonomic rankLichenNested‐plot Samplinggeography.geographical_feature_categorypower lawEcologyVDP::Landbruks- og Fiskerifag: 900biologyEcologySettore BIO/02 - Botanica SistematicaPalaearctic grasslandspecies-area relationship (SAR)Grasslandddc:nonlinear regressionscale dependenceMichaelis–Menten Functionlogarithmic function; Michaelis–Menten function; minimal area; nested-plot sampling; nonlinear regression; Palaearctic grassland; plant biodiversity; power law; scaling law; species–area relationship (SAR)environmentnested‐plot sampling570Evolutionscaling lawSpecies-area relationshipminimal areadiversityspecies–area relationship (SAR)Behavior and Systematicsspecies- area relationship (SAR)ddc:570577: Ökologienested-plot samplingEcology Evolution Behavior and Systematics580geographymodelfungiBiology and Life Sciences500Species diversityPlant communitySpecies–area Relationship (SAR)Earth and Environmental SciencesMichaelis-Menten functionplant biodiversitySpecies richnessrichness
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Estimating QCD uncertainties in Monte Carlo event generators for gamma-ray dark matter searches

2018

Motivated by the recent galactic center gamma-ray excess identified in the Fermi-LAT data, we perform a detailed study of QCD fragmentation uncertainties in the modeling of the energy spectra of gamma-rays from Dark-Matter (DM) annihilation. When Dark-Matter particles annihilate to coloured final states, either directly or via decays such as $W^{(*)}\to q\bar{q}'$, photons are produced from a complex sequence of shower, hadronisation and hadron decays. In phenomenological studies, their energy spectra are typically computed using Monte Carlo event generators. These results have however intrinsic uncertainties due to the specific model used and the choice of model parameters, which are diffi…

dark matter simulationsParticle physicsCosmology and Nongalactic Astrophysics (astro-ph.CO)PhotonAstrophysics::High Energy Astrophysical Phenomenamodel [hadronization]SLDgamma ray theoryDark matterMonte Carlo methodHadronFOS: Physical sciencesmass [dark matter]01 natural sciencesHigh Energy Physics - Phenomenology (hep-ph)fragmentationquantum chromodynamics0103 physical sciencesconservation lawddc:530High Energy PhysicsMonte Carloenergy spectrum [gamma ray]Quantum chromodynamicsPhysicsdark matter theoryAnnihilation010308 nuclear & particles physicsphotonGamma rayCERN LEP StorAstronomy and AstrophysicsshowersGalaxyHigh Energy Physics - PhenomenologyannihilationExperimental High Energy PhysicsHigh Energy Physics::Experimentgalaxydecay [hadron]GLAST [interpretation of experiments]Astrophysics - Cosmology and Nongalactic Astrophysics
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Edges and Endpoints in 21-cm Observations from Resonant Photon Production

2020

Physical review letters 127(1), 011102 (1-7) (2021). doi:10.1103/PhysRevLett.127.011102

dark matter: interactionPhotonCosmology and Nongalactic Astrophysics (astro-ph.CO)Physics beyond the Standard ModelbrightnesskineticGeneral Physics and AstronomyFOS: Physical sciencesContext (language use)AstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics53001 natural sciencesDark photonHigh Energy Physics - Phenomenology (hep-ph)0103 physical sciencesddc:530010306 general physicsPhysicsphoton: productionCOSMIC cancer databasenew physicsproduction [photon]temperatureHigh Energy Physics - PhenomenologyBrightness temperatureDark Agesspectralinteraction [dark matter]signatureAstrophysics - Cosmology and Nongalactic Astrophysics
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Computational Techniques for the Analysis of Small Signals in High-Statistics Neutrino Oscillation Experiments

2020

The current and upcoming generation of Very Large Volume Neutrino Telescopes – collecting unprecedented quantities of neutrino events – can be used to explore subtle effects in oscillation physics, such as (but not restricted to) the neutrino mass ordering. The sensitivity of an experiment to these effects can be estimated from Monte Carlo simulations. With the high number of events that will be collected, there is a trade-off between the computational expense of running such simulations and the inherent statistical uncertainty in the determined values. In such a scenario, it becomes impractical to produce and use adequately-sized sets of simulated events with traditional methods, such as M…

data analysis methodNuclear and High Energy PhysicsMonte Carlo methodFVLV nu TData analysis; Detector; KDE; MC; Monte Carlo; Neutrino; Neutrino mass ordering; Smoothing; Statistics; VLVνTData analysisKDEFOS: Physical sciences01 natural sciencesIceCubeHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)statistical analysisnumerical methods0103 physical sciencesStatisticsNeutrinoddc:530Sensitivity (control systems)MC010306 general physicsNeutrino oscillationInstrumentation and Methods for Astrophysics (astro-ph.IM)InstrumentationMonte CarloPhysicsVLVνT010308 nuclear & particles physicsOscillationStatisticsoscillation [neutrino]ObservableDetectorMonte Carlo [numerical calculations]WeightingNeutrino mass orderingPhysics and AstronomyPhysics - Data Analysis Statistics and ProbabilityPhysique des particules élémentairesNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsMATTERData Analysis Statistics and Probability (physics.data-an)SmoothingSmoothing
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Measurement of θ13 in Double Chooz using neutron captures on hydrogen with novel background rejection techniques

2016

The Double Chooz collaboration presents a measurement of the neutrino mixing angle θ[subscript 13] using reactor [bar over ν[subscript e]] observed via the inverse beta decay reaction in which the neutron is captured on hydrogen. This measurement is based on 462.72 live days data, approximately twice as much data as in the previous such analysis, collected with a detector positioned at an average distance of 1050 m from two reactor cores. Several novel techniques have been developed to achieve significant reductions of the backgrounds and systematic uncertainties. Accidental coincidences, the dominant background in this analysis, are suppressed by more than an order of magnitude with respec…

data analysis methodNuclear and High Energy PhysicsParticle physicsPhysics - Instrumentation and DetectorsNeutrino Detectors and TelescopeGadoliniumnuclear reactor [antineutrino/e]energy spectrumchemistry.chemical_elementFluxmixing angle: measured [neutrino]CHOOZ7. Clean energy01 natural sciencesHigh Energy Physics - Experimentflux [antineutrino]Flavor physicscapture [n]0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Electroweak interactionddc:530Neutron010306 general physicsPhysicsNeutrino Detectors and Telescopesbackground010308 nuclear & particles physicsoscillation [neutrino]suppressionDouble ChoozNeutron captureOscillationchemistryhydrogenInverse beta decayFlavor physicspectralHigh Energy Physics::ExperimentgadoliniumNeutrinoOrder of magnitudeexperimental results
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