The Multiple Depletion Curves Method Provides Accurate Estimates of Intrinsic Clearance (CLint), Maximum Velocity of the Metabolic Reaction (Vmax), and Michaelis Constant (Km): Accuracy and Robustness Evaluated through Experimental Data and Monte Carlo Simulations

2008 ◽  
Vol 37 (1) ◽  
pp. 47-58 ◽  
Author(s):  
Erik Sjögren ◽  
Hans Lennernäs ◽  
Tommy B. Andersson ◽  
Johan Gråsjö ◽  
Ulf Bredberg
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Maximum Velocity ◽  
Intrinsic Clearance ◽  
Metabolic Reaction ◽  
Michaelis Constant

scholarly journals FLUCTUATIONS OF SINGLE CONFINED ACTIN FILAMENTS

2007 ◽  
Vol 02 (02) ◽  
pp. 155-166 ◽  
Author(s):  
SARAH KÖSTER ◽  
HOLGER STARK ◽  
THOMAS PFOHL ◽  
JAN KIERFELD
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Correlation Function ◽  
Monte Carlo Simulations ◽  
Actin Filaments ◽  
Persistence Length ◽  
Mesh Size ◽  
Thermal Fluctuations ◽  
Approximation Formula ◽  
Bending Rigidity

Thermal fluctuations of individual actin filaments confined in rectangular microchannels with dimensions similar to the mesh size of the cytoskeleton in eukaryotic cells are studied experimentally using fluorescence microscopy and theoretically by a combination of analytical methods and Monte Carlo simulations. Compared to freely fluctuating filaments, long filaments confined in narrow channels exhibit enhanced tangent correlations and a characteristic shape of their correlation function. The tangent correlation function is calculated analytically by approximating the confining geometry by a parabolic potential. This approximation is validated by Monte Carlo simulations. For the quantitative analysis of experimental data additional corrections for image analysis effects have to be included, for which we provide a modified analytical approximation formula which is corroborated by simulations. This allows us to obtain both the persistence length LP describing the bending rigidity of the polymer and the deflection length λ characterizing confinement effects from fits to the experimental data. Our results confirm the scaling relation λ ∝ d2/3 between the deflection length and the channel width d.

MONTE-CARLO SIMULATION OF MBE GROWTH OF GaAs ANALYSIS OF RHEED

1997 ◽  
Vol 04 (05) ◽  
pp. 869-872 ◽  
Author(s):  
P. J. VAN HALL ◽  
H. KÖKTEN ◽  
M. R. LEYS ◽  
M. BOSCH
Keyword(s):  
Experimental Data ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Slow Component ◽  
Mbe Growth ◽  
Partial Desorption

We have performed Monte-Carlo simulations of the growth of GaAs by MBE. We included in our calculations the anisotropy of the migration, the formation of As-and a partial desorption of the As. As an observable we calculated the RHEED signal of the specularly reflected electrons. The results have been compared with experimental data comprising both the damping of the oscillations and the recovery following a growth interrupt. The agreement between experiment and calculations is rather good. Moreover we could identify the mechanisms underlying the fast and the slow component of the recovery.

EP-1464: Flattening Filter Free phase space files: Comparison between Monte Carlo simulations and experimental data

2014 ◽  
Vol 111 ◽  
pp. S147
Author(s):  
M.F. Belosi ◽  
A. Fogliata ◽  
L. Brualla ◽  
J. Sempau ◽  
M. Rodriguez ◽  
...  
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Phase Space ◽  
Monte Carlo Simulations ◽  
Flattening Filter Free ◽  
Flattening Filter

Statistical Analysis and Monte-Carlo Simulations of Warm Prestressing of Pre-Cracked Small Single Edge Notch Bend Specimens

2013 ◽  
Author(s):  
Derreck van Gelderen ◽  
Dana Lauerova ◽  
Miroslav Posta ◽  
Vladislav Pistora ◽  
Julian Booker ◽  
...  
Keyword(s):  
Experimental Data ◽  
Fracture Toughness ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Statistical Significance ◽  
Pressure Vessels ◽  
Single Edge ◽  
Warm Prestressing ◽  
Edge Notch ◽  
Predicted Values

Warm prestressing is widely acknowledged as being able to enhance material toughness, especially in steels that exhibit lower shelf cleavage fracture. The enhancement in toughness has a significant impact on the integrity of pressure vessels, particularly during severe loading conditions, such as pressurised thermal shock. In this paper, we undertake detailed statistical analyses of experimental data provided via a comprehensive programme of fracture tests at UJV (Ústav jaderného výzkumu Řež a.s.). A warm prestressing model, developed by Chell, is used to predict the change in toughness probabilistically, using Monte-Carlo methods to predict the distribution in toughness following different warm prestressing cycles. The results obtained from this model are also compared to predictions made by the Wallin approach. Experimental data was generated, at UJV for WWER 440 RPV steel, using small single-edge-notched bend SEN(B) specimens (or pre-cracked Charpy) across a range of different fracture temperatures, warm pre-stress temperatures, and levels of preload, in both as-received and irradiated conditions. In this paper, experimental data obtained only from tests on unirradiated specimens were statistically treated. A three parameter Weibull distribution was used to map the scatter observed in the virgin toughness. The statistical significance of increase in apparent fracture toughness due to warm prestressing was evaluated using the Mann-Whitney test. It was further shown by Monte-Carlo simulations that the Chell and Wallin models provide slightly conservative predictions of the resulting fracture toughness. Both, the experimentally measured and predicted values of the resulting fracture toughness, depend on the specific tests conditions, especially on the level of preload.

scholarly journals Structural evolution of two-dimensional silicates using a “bond-switching” algorithm

Nanoscale ◽  
2021 ◽  
Author(s):  
Alejandro M. Boscoboinik ◽  
Sergio J. Manzi ◽  
Víctor D. Pereyra ◽  
Walter L. Mas ◽  
Jorge Anibal Boscoboinik
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Temperature Gradient ◽  
Monte Carlo Simulations ◽  
Size Distribution ◽  
Domain Boundary ◽  
Structural Evolution ◽  
Ring Size ◽  
Two Dimensional ◽  
Switching Algorithm

Ring size distribution in silicate bilayers obtained from Monte Carlo simulations using a bond-switching algorithm (compared to experimental data) when a temperature gradient is introduced to mimic a crystalline to vitreous domain boundary.

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