For example, by simply simulating effects of attenuation on image quality (SNR), we were able to closely replicate the clinical findings, i.e. a linear relation between the patient's body mass and administered FDG dose was not sufficient to achieve uniform image quality across patients.
In particular, we tested the TEDG method in an artificial example by separately simulating linear evolution and branching evolution of cancer as one-step Markov process.
Traditionally, this has been achieved by simulating, for example, concentration time profiles for several individuals administered a dosing regimen (i.e., using NONMEM®), 13 plotting the outcome (often summarized by a median and confidence intervals) and saving the image, and repeating the process for a new dose.
We verify our findings by simulating several examples of CIGS-based solar cells with different buffer layers (CdS, Zn1−xMgxO, In2S3, Zn(O,S)) taken from the literature; these comparisons confirm the validity of our results and suggest that the combination of ΔAB and ΔBW is the predominant factor in the design of high-efficiency solar cells.
There are artists who seek to overcome this limitation by simulating what, for example, the movies of the Victorian era might have looked like.
By simulating with for example 20 years of weather data, we can identify those sowing dates for which regardless of weather variability, a 100% sterility can be guaranteed.
For example, radio propagation is not simulated by simulating the EM radiation through the air and obstacles from one antenna to the next, but by using a formula to calculate the received signal strength at the receiving radios.
01, 0. 01 ) T, and, for the purpose of this example, the measured output is produced by simulating the original model with the reference parameter values and adding 5% relative random white noise n(t) sampled from a standard normal distribution, y meas (t) := y t, θ ref )(1 + 0.05 n(t)).
By simulating multiple realistic examples such as peptide, protein, ice equilibrium and ice ice friction, the new filter is shown to speed up the computations of long-range interactions by approximately 20%.
The benefits from the proposed method are evaluated by simulating its performance for a practical example based on data provided by the BCCA.
