Search results for "Names"

showing 10 items of 6843 documents

Cu–Cu interactions in the transparent p-type conductors: CuAlO2 and SrCu2O2

2003

Abstract Electronic structures of the p-type Transparent Conducting Oxides (TCO): CuAlO2 and SrCu2O2 are calculated using the Tight Binding Linearized Muffin Tin Orbital within the Atomic Sphere Approximation method (TB-LMTO-ASA). The band structures indicate two gaps for CuAlO2 (an indirect one with ΔE≈0.45 eV and a direct one with ΔE≈1.25 eV) and one direct gap for SrCu2O2 (with ΔE≈2 eV). In both oxides the Cu states are dominant at the top of the valence band, close to the Fermi level and the existence of weak Cu–Cu bonding interactions is revealed through the Integrated Crystal Orbital Hamiltonian Population (ICOHP). The presence of such interactions suggests that for the hole doped oxi…

Aluminium oxideseducation.field_of_studyCondensed matter physicsChemistryFermi levelPopulationDopingchemistry.chemical_elementGeneral MedicineGeneral ChemistryElectronic structureCondensed Matter PhysicsMolecular physicsCrystalsymbols.namesakeTight bindingAtomic orbitalsymbolsGeneral Materials ScienceHamiltonian (quantum mechanics)TineducationElectronic band structureSolid State Sciences
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LTE-based passive radars and applications: a review

2021

This paper provides an overview of the most recent passive radars based on long-term evolution (LTE). To begin, this paper investigates the various characteristics and requirements of 4 G LTE signals for radar, taking performance aspects such as range, velocity, range resolution, and velocity resolution into account. An ambiguity function analysis is performed on a measured LTE signal using the synchronization and reference signal components to evaluate key performance parameters such as Doppler and range characteristics. We also discuss how LTE passive radar can be used in a variety of applications. The detailed analysis of the LTE downlink signal, its structural overview, and the effect o…

Ambiguity functionbusiness.industryComputer scienceSignalSynchronizationPassive radarlaw.inventionsymbols.namesakelawTelecommunications linksymbolsElectronic engineeringGeneral Earth and Planetary SciencesWirelessRadarbusinessDoppler effectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Finite-size scaling of charge carrier mobility in disordered organic semiconductors

2016

Simulations of charge transport in amorphous semiconductors are often performed in microscopically sized systems. As a result, charge carrier mobilities become system-size dependent. We propose a simple method for extrapolating a macroscopic, nondispersive mobility from the system-size dependence of a microscopic one. The method is validated against a temperature-based extrapolation [A. Lukyanov and D. Andrienko, Phys. Rev. B 82, 193202 (2010)]. In addition, we provide an analytic estimate of system sizes required to perform nondispersive charge transport simulations in systems with finite charge carrier density, derived from a truncated Gaussian distribution. This estimate is not limited t…

Amorphous semiconductorsCondensed Matter - Materials ScienceMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Condensed matter physicsCharge carrier mobilityGaussianExtrapolationMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciences02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesOrganic semiconductorsymbols.namesakeLattice (order)0103 physical sciencessymbolsCharge carrier010306 general physics0210 nano-technologyScalingCondensed Matter - Statistical MechanicsPhysical Review B
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Amorphous Silicon Nanotubes via Galvanic Displacement Deposition

2013

Amorphous silicon nanotubes were grown in a single step into a polycarbonate membrane by a galvanic displacement reaction conducted in aqueous solution. In order to optimize the process, a specifically designed galvanic cell was used. SEM images, after polycarbonate dissolution, showed interconnected nanotube bundles with an average length of 18 μm and wall thickness of 38 nm.The deposited silicon was revealed by EDS analysis, whilst X-ray diffraction and Raman spectroscopy showed that nanotubes have an amorphous structure. Silicon nanotubes were also characterized by photo-electrochemical measurements that showed n-type conductivity and optical gap of ~1.6 eV. Keywords: Silicon nanotubes, …

Amorphous siliconSilicon nanotubes dispalcement deposition nanostructures lithium batteries solar cellsNanotubeMaterials scienceSiliconNanocrystalline siliconchemistry.chemical_elementNanotechnologyAmorphous solidlcsh:Chemistrysymbols.namesakechemistry.chemical_compoundSettore ING-IND/23 - Chimica Fisica Applicatalcsh:Industrial electrochemistrylcsh:QD1-999chemistryvisual_artElectrochemistrysymbolsvisual_art.visual_art_mediumGalvanic cellPolycarbonateComposite materialRaman spectroscopylcsh:TP250-261
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Dynamic 2- and 3-connectivity on planar graphs

1992

We study the problem of maintaining the 2-edge-, 2-vertex-, and 3-edge-connected components of a dynamic planar graph subject to edge deletions. The 2-edge-connected components can be maintained in a total of O(n log n) time under any sequence of at most O(n) deletions. This gives O(log n) amortized time per deletion. The 2-vertex- and 3-edge-connected components can be maintained in a total of O(n log2n) time. This gives O(log2n) amortized time per deletion. The space required by all our data structures is O(n).

Amortized analysisBook embeddingPlanar straight-line graph1-planar graphPlanar graphCombinatoricssymbols.namesakePathwidthChordal graphTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYOuterplanar graphData_FILESsymbolsMathematicsofComputing_DISCRETEMATHEMATICSMathematics
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<title>Stereovision studies by disbalanced images</title>

2003

Studies are focused on design and appraisal of an objective test of the quality of stereovision depending on optical stimuli blurring and detecting of the stereovision threshold at various stimuli blur degree. The method is based on the principles of grayscale and color random dot stereotests. Experiments may be divided with respect to the principle of demonstration: 1) the blur is modeled by defocusing an optical lens - the strength of the optical system is varied at a constant quality of the stimulus, or 2) the blur is simulated on the computer screen - here the quality of the stimulus varies. To obtain an independent description and to measure blurring the experimentally demonstrated ima…

Amplitude modulationsymbols.namesakeFourier transformbusiness.industryStereotestssymbolsComputer visionArtificial intelligencebusinessGrayscaleComputing systemsMathematicsSPIE Proceedings
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The use of Stokes-Mueller polarimetry for assessment of amyloid-β progression in a mouse model of Alzheimer’s disease

2020

Abstract Alzheimer’s disease, being a major societal burden, demands improvement of current techniques for its treatment and diagnostics. Currently only autopsy histology is able to provide the definite diagnosis for Alzheimer’s disease. However, the procedure is rather time consuming and costly. In the current study, we utilized Stokes and Mueller polarimetry techniques to screen for amyloid-β (Aβ) deposits in formalin-fixed, paraffin-embedded mouse brain tissue at different stages of Alzheimer’s disease. The study has shown that the presence of Aβ plaques influences the properties of scattered polarized light. The Poincaré sphere was used as a graphical tool for the visualization of the a…

Amyloid βbrainPolarimetryDiseaselight scatteringScattering03 medical and health sciencessymbols.namesake0302 clinical medicinestatistical analysisScreening methodStokes parameterstissuesComputingMilieux_MISCELLANEOUS030304 developmental biologyPoincare spherepolarimetryPhysics0303 health sciencespolarizationDisease progressionDepolarizationAlzheimer's diseaseAlzheimer's[SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry Molecular Biology/BiophysicsStatistical analysisAmyloid-ß plaque[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicsymbolsAnisotropyDepolarizationNeuroscience030217 neurology & neurosurgeryOptical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis
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Decoding vibrational states of Concanavalin A amyloid fibrils.

2015

International audience; Amyloid and amyloid-like fibrils are a general class of protein aggregates and represent a central topic in life sciences for their involvement in several neurodegenerative disorders and their unique mechanical and supramolecular morphological properties. Both their biological role and their physical properties, including their high mechanical stability and thermodynamic inertia, are related to the structural arrangement of proteins in the aggregates at molecular level. Significant variations may exist in the supramolecular organization of the commonly termed cross-β structure that constitutes the amyloid core. In this context, a fine knowledge of the structural deta…

AmyloidAbsorption spectroscopy[SDV]Life Sciences [q-bio]BiophysicsSupramolecular chemistry02 engineering and technologymacromolecular substancesProtein aggregationAntiparallel (biochemistry)FibrilSpectrum Analysis RamanBiochemistryVibrationProtein Structure Secondary03 medical and health sciencessymbols.namesakeSpectroscopy Fourier Transform InfraredConcanavalin AHumansFourier transform infrared spectroscopyRaman030304 developmental biology0303 health sciencesChemistryOrganic ChemistryIntermolecular force021001 nanoscience & nanotechnologyAmyloid FTIR RAMAN hydration water THz spectroscopy[SDV] Life Sciences [q-bio]CrystallographyFTIRTerahertz spectroscopysymbolsBiophysicsFibrils0210 nano-technologyRaman spectroscopy
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K-means Clustering to Study How Student Reasoning Lines Can Be Modified by a Learning Activity Based on Feynman’s Unifying Approach

2017

Background:Research in Science Education has shown that often students need to learn how to identify differences and similarities between descriptive and explicative models. The development and use of explicative skills in the field of thermal science has always been a difficult objective to reach. A way to develop analogical reasoning is to use in Science Education unifying conceptual frameworks.Material and methods:A questionnaire containing six open-ended questions on thermally activated phenomena was administered to the students before instruction. A second one, similar but focused on different physical content was administered after instruction. Responses were analysed using k-means Cl…

Analogical reasoningScience instructionMechanism (biology)Computer scienceLogical reasoningBoltzmann Factor evaluation quantitative data analysis in education k-means clustering thermally-activated phenomenaSettore FIS/08 - Didattica E Storia Della FisicaApplied Mathematics05 social sciencesk-means clustering050301 educationScience educationField (computer science)Educationsymbols.namesake0502 economics and businesssymbolsMathematics educationFeynman diagram0503 education050203 business & managementEURASIA Journal of Mathematics, Science and Technology Education
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Error estimation and reduction with cross correlations

2010

Besides the well-known effect of autocorrelations in time series of Monte Carlo simulation data resulting from the underlying Markov process, using the same data pool for computing various estimates entails additional cross correlations. This effect, if not properly taken into account, leads to systematically wrong error estimates for combined quantities. Using a straightforward recipe of data analysis employing the jackknife or similar resampling techniques, such problems can be avoided. In addition, a covariance analysis allows for the formulation of optimal estimators with often significantly reduced variance as compared to more conventional averages.

Analysis of covarianceStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodHigh Energy Physics - Lattice (hep-lat)EstimatorFOS: Physical sciencesMarkov chain Monte CarloHybrid Monte Carlosymbols.namesakeHigh Energy Physics - LatticeResamplingStatisticssymbolsJackknife resamplingCondensed Matter - Statistical MechanicsMathematicsMonte Carlo molecular modeling
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