Introduction to Temporally Evolving - Dynamic Light Scattering

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Dynamic Light Scattering
10.1167/iovs.18-25535

Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal.

Noninvasive Assessment of Corneal Crosslinking With Phase-Decorrelation Optical Coherence Tomography

Dynamic Light Scattering
10.1167/iovs.18-25535

Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal.

Noninvasive Assessment of Corneal Crosslinking With Phase-Decorrelation Optical Coherence Tomography.

Dynamic Light Scattering
10.1167/iovs.18-25535

Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal.

Noninvasive Assessment of Corneal Crosslinking With Phase-Decorrelation Optical Coherence Tomography.

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Dynamic Light Scattering
10.1167/iovs.18-25535

Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal.

Noninvasive Assessment of Corneal Crosslinking With Phase-Decorrelation Optical Coherence Tomography.

Dynamic Light Scattering
10.1167/iovs.18-25535

Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal.

Noninvasive Assessment of Corneal Crosslinking With Phase-Decorrelation Optical Coherence Tomography.

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Temporally Evolving
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What is/are Temporally Evolving?

Temporally Evolving - These complex post fracture immune responses were sexually dichotomous and interacted in temporally evolving patterns that generated post traumatic nociceptive sensitization in both sexes lasting for up to 5 months. [1] All five methods generated a similar global trend of spray angle variation for temporally evolving sprays over the complete injection period. [2] 71, are numerically investigated in the configuration of a temporally evolving parallel flow. [3] Temporally evolving graphs are an indispensable requisite of modern-day big data processing pipelines. [4] Here we propose to formalize individual user's in-app action transition patterns as a temporally evolving action graph, and analyze its characteristics in terms of informing future user engagement. [5] The resulting time-integration techniques are employed in a 3D simulation of a temporally evolving turbulent planar flame with dimethyl ether/air chemistry, and improvements with respect to the computational efficiency and strong scalability are examined. [6] The complex choreography of electronic, vibrational, and vibronic couplings used by photoexcited molecules to transfer energy efficiently is remarkable, but an unambiguous description of the temporally evolving vibronic states governing these processes has proven experimentally elusive. [7] POIs are semantically diverse and spatio-temporally evolving entities, having geographical, temporal and thematic relations. [8] A temporally evolving calibration curve is used to examine the uncertainty of the calibration curve. [9] We present a method for applying SMB forcing from climate models to a wide range of Greenland ice sheet models with varying and temporally evolving geometries. [10] In addition to these intuitive and numerical approaches, we show how to get $\alpha$ and $\beta$ coefficient semi-analytically from the temporally evolving large scale magnetic energy and magnetic helicity. [11] The olfactory system is a wellknown example where odor information is encoded in temporally evolving activity of the principal neurons and inhibitory interneurons play an important role in generating these patterns. [12] So, any discontinuity in the translucent materials can be imaged or detected by mapping its spatiotemporally evolving refractive index under thermal stressing. [13] In the current work, we evaluated the use of high temporal resolution metrics of functional connectivity in conjunction with non-negative tensor factorisation to detect fast fluctuations in connectivity and temporally evolving subnetworks. [14] The goal of this paper is to demonstrate the urgent need for, and suggest an approach for developing, an improved suite of temporally evolving, spatially distributed snowproducts to help understand howdynamics in snowscape properties impact wildlife, with a specific focus onAlaska and northwesternCanada. [15] The scalar dissipation rate of the progress variable from temporally evolving turbulent lean premixed H2-air flames in the thin reaction zone regime is analyzed using the chemical explosive mode analysis to understand its dependence on combustion modes and transient flame features. [16] We also show in simulation that, in the presence of a temporally evolving pupil plane phase aberration with 27-nm root-mean-square (RMS) WFE, LDFC can reduce the WFE to 18-nm RMS, resulting in factor of 6 to 10 gain in contrast that is kept stable over time. [17] Our synthesis reveals a spatially heterogeneous and temporally evolving δ13C baseline, with spatial gradients in the δ13C‐POC values between arctic shelves and arctic basins likely driven by differences in productivity and riverine and coastal influence. [18] Their different profile of preferred binding sites contributes to occupying spatially distinct domains at the temporally evolving microtubule tip structure. [19] We implement statistically independent Karhunen-Loeve functions for iterative blind correction, and analyze their optimal correction performance in various turbulence conditions in temporally evolving turbulence simulations. [20] Energy spectra obtained from the present homogeneous shear turbulence agree well with the spectra from temporally evolving shear layers. [21] Although it is possible to computationally infer cell-cell forces from a mechanical model of collective cell behavior, doing so for temporally evolving forces in a manner robust to digitization difficulties is challenging. [22] Whereas mature simultaneous localization and mapping (SLAM) approaches assume a static environment, this work extends pose graph SLAM to spatiotemporally evolving environments. [23] While it is possible to computationally infer cell-cell forces from a mechanical model of collective cell behavior, doing so for temporally evolving forces in a manner that is robust to digitization difficulties is challenging. [24] The provenance data point to multiple, temporally evolving sources ranging from local (e. [25] In this paper, we investigate the energy-diffusion efficiency of relativistic particles in a temporally evolving wave ensemble that consists of a single mode (Alfven, fast or slow) of linear magnetohydrodynamic waves. [26] In this study we use a vertically integrated thermomechanical ice dynamics model to simulate the temporally evolving patterns of surficial moraine, stratification, foliation, and folding of glacier ice, and the density and orientation of traces of former crevasses. [27] Once formed, the nascent spatially and temporally evolving analyte ion cloud needs to be guided out of the acoustically confined trap into the inlet of the ion mobility spectrometer. [28] Modern systems operate in spaiotemporally evolving environments, and similar spatiotemporal scenarios are likely to be tied with similar decision solutions. [29] Numerical simulations of weakly compressible, temporally evolving shear layers are used to verify theoretical results and confirm that if the log slope of the one-dimensional density spectrum in the inertial subrange is -mρ, the optical phase distortion spectral slope is given by -(mρ + 1). [30] The intricate coupling between coal pyrolysis, gas phase combustion and the emissions of alkali metal, such as sodium, is studied in the early stage of a temporally evolving three-dimensional planar turbulent jet carrying pulverized-coal particles. [31] A temporally evolving effective elastic thickness, as well as imposed subsidence in the foreland and uplift in the hinterland, is required to reproduce the surface geology, increase Subandean foreland basin depth, limit Altiplano sedimentation, and facilitate Altiplano uplift to modern elevation. [32] Due to the complex nature of the temporally evolving sheath, it is difficult to predict how long the transition takes. [33] Successive expansion–contraction of the fluid volume through a spatio-temporally evolving viscosity field generates a net fluidic current. [34] , treating the reconstruction problem as a temporally evolving stochastic process. [35] Schlieren imaging was used to capture the flame front propagation, while the temporally evolving flow field was simultaneously acquired by particle image velocimetry (PIV). [36] We also examine the temporal characteristic of energy changes of the refluxing and escaping electrons and show that the majority of the energy change is as a result of the temporally evolving electric field that forms on the rear surface. [37]

direct numerical simulation

Direct numerical simulations of temporally evolving supersonic turbulent channel flows of thermally perfect gas are conducted at Mach number 3. [1] A direct numerical simulation (DNS) initialized with an implicit large eddy simulation (ILES) is performed for temporally evolving planar jets and turbulent boundary layers. [2] In the present work, nonpremixed temporally evolving planar spray jet flames are simulated using both direct numerical simulation (DNS) and the composition transported probability density function (TPDF) method. [3] The study is based on direct-numerical simulation (DNS) and large-eddy simulation (LES), comparing different subgrid-scale (SGS) models for incompressible, uniform-density, temporally evolving forced shear-layer flows. [4] The structure of vorticity field in compressible mixing layers is studied using direct numerical simulations of temporally evolving mixing layers. [5]

dynamic light scattering

Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal. [1] Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal. [2] Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal. [3] Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal. [4] Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal. [5]

temporally evolving complex

Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal. [1] Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal. [2] Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal. [3] Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal. [4] Methods Phase-decorrelation OCT (PhD-OCT), based in the theory of dynamic light scattering, is a method to spatially resolve endogenous random motion by calculating the decorrelation rate, Γ, of the temporally evolving complex-valued OCT signal. [5]

temporally evolving turbulent

The resulting time-integration techniques are employed in a 3D simulation of a temporally evolving turbulent planar flame with dimethyl ether/air chemistry, and improvements with respect to the computational efficiency and strong scalability are examined. [1] The scalar dissipation rate of the progress variable from temporally evolving turbulent lean premixed H2-air flames in the thin reaction zone regime is analyzed using the chemical explosive mode analysis to understand its dependence on combustion modes and transient flame features. [2] In the present work we assess the capabilities of neural networks to predict temporally evolving turbulent flows. [3]

temporally evolving pattern

These complex post fracture immune responses were sexually dichotomous and interacted in temporally evolving patterns that generated post traumatic nociceptive sensitization in both sexes lasting for up to 5 months. [1] In this study we use a vertically integrated thermomechanical ice dynamics model to simulate the temporally evolving patterns of surficial moraine, stratification, foliation, and folding of glacier ice, and the density and orientation of traces of former crevasses. [2]

temporally evolving planar

A direct numerical simulation (DNS) initialized with an implicit large eddy simulation (ILES) is performed for temporally evolving planar jets and turbulent boundary layers. [1] In the present work, nonpremixed temporally evolving planar spray jet flames are simulated using both direct numerical simulation (DNS) and the composition transported probability density function (TPDF) method. [2]

temporally evolving shear

Energy spectra obtained from the present homogeneous shear turbulence agree well with the spectra from temporally evolving shear layers. [1] Numerical simulations of weakly compressible, temporally evolving shear layers are used to verify theoretical results and confirm that if the log slope of the one-dimensional density spectrum in the inertial subrange is -mρ, the optical phase distortion spectral slope is given by -(mρ + 1). [2]

temporally evolving force

Although it is possible to computationally infer cell-cell forces from a mechanical model of collective cell behavior, doing so for temporally evolving forces in a manner robust to digitization difficulties is challenging. [1] While it is possible to computationally infer cell-cell forces from a mechanical model of collective cell behavior, doing so for temporally evolving forces in a manner that is robust to digitization difficulties is challenging. [2]

temporally evolving environment

Whereas mature simultaneous localization and mapping (SLAM) approaches assume a static environment, this work extends pose graph SLAM to spatiotemporally evolving environments. [1] Modern systems operate in spaiotemporally evolving environments, and similar spatiotemporal scenarios are likely to be tied with similar decision solutions. [2]