Faulting in Zones of Lithospheric Extension: Quantitative Analysis of Natural and Experimental Data

1996 ◽  
pp. 421-446
Author(s):  
S. I. Sherman
Keyword(s):  
Experimental Data ◽  
Quantitative Analysis ◽  
Lithospheric Extension

Quantitative Analysis of Raman Spectra in Si/SiGe Nanostructures

2013 ◽  
Vol 1510 ◽  
Author(s):  
Selina Mala ◽  
Leonid Tsybeskov ◽  
Jean-Marc Baribeau ◽  
Xiaohua Wu ◽  
David J. Lockwood
Keyword(s):  
Experimental Data ◽  
Thermal Conductivity ◽  
Quantitative Analysis ◽  
Raman Spectra ◽  
Instrumental Response ◽  
Sample Surface ◽  
Stray Light ◽  
Raman Signal ◽  
Longitudinal Acoustic ◽  
Local Sample

ABSTRACTWe present comprehensive quantitative analysis of Raman spectra in two-(Si/SiGe superlattices) and three-(Si/SiGe cluster multilayers) dimensional nanostructures. We find that the Raman spectra baseline is due to the sample surface imperfection and instrumental response associated with the stray light. The Raman signal intensity is analyzed, and Ge composition is calculated and compared with the experimental data. The local sample temperature and thermal conductivity are calculated, and the spectrum of longitudinal acoustic phonons is explained.

Analysis of an Adaptive Strain Estimation Technique in Elastography

2002 ◽  
Vol 24 (2) ◽  
pp. 109-118 ◽  
Author(s):  
S. Srinivasan ◽  
F. Kallel ◽  
R. Souchon ◽  
J. Ophir
Keyword(s):  
Experimental Data ◽  
Quantitative Analysis ◽  
Quantitative Comparison ◽  
Estimation Technique ◽  
Echo Signal ◽  
Initial Displacement ◽  
Estimation Techniques ◽  
Strain Estimation ◽  
Proof Of Principle

Elastography is based on the estimation of strain due to tissue compression or expansion. Conventional elastography involves computing strain as the gradient of the displacement (time-delay) estimates between gated pre- and postcompression signals. Uniform temporal stretching of the postcompression signals has been used to reduce the echo-signal decorrelation noise. However, a uniform stretch of the entire postcompression signal is not optimal in the presence of strain contrast in the tissue and could result in loss of contrast in the elastogram. This has prompted the use of local adaptive stretching techniques. Several adaptive strain estimation techniques using wavelets, local stretching and iterative strain estimation have been proposed. Yet, a quantitative analysis of the improvement in quality of the strain estimates over conventional strain estimation techniques has not been reported. We propose a two-stage adaptive strain estimation technique and perform a quantitative comparison with the conventional strain estimation techniques in elastography. In this technique, initial displacement and strain estimates using global stretching are computed, filtered and then used to locally shift and stretch the postcompression signal. This is followed by a correlation of the shifted and stretched postcompression signal with the precompression signal to estimate the local displacements and hence the local strains. As proof of principle, this adaptive stretching technique was tested using simulated and experimental data.

Analysis of Experimental Data From Ship Trajectories of Turning Circles in a Regular Seaway

2010 ◽  
Author(s):  
Joseph T. Klamo ◽  
Ray-Qing Lin
Keyword(s):  
Experimental Data ◽  
Quantitative Analysis ◽  
Time Varying ◽  
Ship Maneuvering ◽  
New Findings ◽  
Self Consistent ◽  
Calm Water ◽  
Experimental Laboratory ◽  
Ship Tracks ◽  
Good Agreement

The accurate prediction of the track of a ship maneuvering in a seaway is one of the most important tasks in seakeeping. Most ship maneuvering studies, both experimental and numerical, focus on maneuvering in calm water. Recently, Lin and Klamo (2010) used the Digital Self-consistent Ship Experimental Laboratory (DiSSEL) to study the ship track of a turning circle maneuver in a wave field. In that study, it was shown that their simulated ship trajectories had good agreement with experimentally measured tracks. This agreement motivated the following quantitative analysis of the experimental data to characterize the effects that wave impacts have on turning circle ship tracks. Our method involves describing the ship trajectories as sinusoids with time-varying means. We also estimate the uncertainty in the results from our analysis of the experimental measurements. The quantitative analysis shows overall agreement with Lin and Klamo (2010). New findings are also discussed such as changes in the distance and time to complete the maneuver as well as the speed and preferred directions of a drifting turning circle.

scholarly journals Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer

Tomography ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. 253-267
Author(s):  
Kalina P. Slavkova ◽  
Julie C. DiCarlo ◽  
Anum S. Kazerouni ◽  
John Virostko ◽  
Anna G. Sorace ◽  
...  
Keyword(s):  
Experimental Data ◽  
Quantitative Analysis ◽  
Time Course ◽  
Volume Fraction ◽  
Parameter Analysis ◽  
Pharmacokinetic Parameters ◽  
Full Time ◽  
Dce Mri ◽  
Time Course Data ◽  
Resolution Dataset

This study characterizes the error that results when performing quantitative analysis of abbreviated dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data of the breast with the Standard Kety–Tofts (SKT) model and its Patlak variant. More specifically, we used simulations and patient data to determine the accuracy with which abbreviated time course data could reproduce the pharmacokinetic parameters, Ktrans (volume transfer constant) and ve (extravascular/extracellular volume fraction), when compared to the full time course data. SKT analysis of simulated abbreviated time courses (ATCs) based on the imaging parameters from two available datasets (collected with a 3T MRI scanner) at a temporal resolution of 15 s (N = 15) and 7.23 s (N = 15) found a concordance correlation coefficient (CCC) greater than 0.80 for ATCs of length 3.0 and 2.5 min, respectively, for the Ktrans parameter. Analysis of the experimental data found that at least 90% of patients met this CCC cut-off of 0.80 for the ATCs of the aforementioned lengths. Patlak analysis of experimental data found that 80% of patients from the 15 s resolution dataset and 90% of patients from the 7.27 s resolution dataset met the 0.80 CCC cut-off for ATC lengths of 1.25 and 1.09 min, respectively. This study provides evidence for both the feasibility and potential utility of performing a quantitative analysis of abbreviated breast DCE-MRI in conjunction with acquisition of current standard-of-care high resolution scans without significant loss of information in the community setting.

scholarly journals Atomic reconstruction of biomolecular structures from AFM images and quantitative validation of experimental data using simulated AFM scanning

2021 ◽  
Author(s):  
Romain Amyot ◽  
Arin Marchesi ◽  
Clemens M Franz ◽  
Ignacio Casuso ◽  
Holger Flechsig
Keyword(s):  
Experimental Data ◽  
Quantitative Analysis ◽  
Detailed Analysis ◽  
Software Package ◽  
High Speed ◽  
Free Software ◽  
Software Platform ◽  
Interactive Interface ◽  
Surface Topographies ◽  
Quantitative Validation

We provide the BioAFMviewer-Toolbox, an extension of our previously developed software platform for simulated AFM scanning of biomolecular structures and dy- namics. The focus was on developing a toolbox of methods which employ simulated AFM scanning combined with quantitative analysis to facilitate the interpretation of resolution-limited AFM images. The key advancement is the automatized fitting of biomolecular structures to experimental AFM images, which allows to reconstruct 3D atomistic structures from AFM surface scans. Moreover, several methods for detailed analysis and comparison of surface topographies in simulated and experimental AFM images are provided. We demonstrate the applicability of the developed tools in the interpretation of high-speed AFM observations of proteins. The toolbox is implemented into the versatile interactive interface of the BioAFMviewer, which is a free software package available at www.bioafmviewer.com.

scholarly journals Quantitative analysis of non-equilibrium systems from short-time experimental data

2021 ◽  
Author(s):  
Sreekanth K Manikandan ◽  
Subhrokoli Ghosh ◽  
Avijit Kundu ◽  
Biswajit Das ◽  
Vipin Agrawal ◽  
...  
Keyword(s):  
Experimental Data ◽  
Steady State ◽  
Quantitative Analysis ◽  
Large Class ◽  
Colloidal Particle ◽  
Particle System ◽  
Thermodynamic Force ◽  
Trajectory Data ◽  
Short Time ◽  
Non Equilibrium

Abstract We provide a minimal strategy for the quantitative analysis of a large class of non-equilibrium systems in a steady state using the short-time Thermodynamic Uncertainty Relation (TUR). From short-time trajectory data obtained from experiments, we demonstrate how we can simultaneously infer quantitatively, both the thermodynamic force field acting on the system, as well as the exact rate of entropy production. We benchmark this scheme first for an experimental study of a colloidal particle system where exact analytical results are known, before applying it to the case of a colloidal particle in a hydrodynamical flow field, where neither analytical nor numerical results are available. Our scheme hence provides a means, potentially exact for a large class of systems, to get a quantitative estimate of the entropy produced in maintaining a non-equilibrium system in a steady state, directly from experimental data.

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