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This paper presents a moving least square (MLS) method for fitting dynamic forces, which improves the existing traditional methods.
Therefore, understanding and supporting this structure, is critical to engineer software better, e.g., fitting dynamic users' needs and their new expectations.
A powerful and flexible method for fitting dynamic models to missing and censored data is to use the Bayesian paradigm via data-augmented Markov chain Monte Carlo (DA-MCMC).
Rather than assessing the control properties of the system, or fitting dynamic metabolite concentrations, the focus of EM is to rely on existing experimental data to drive strain design.
Second, we use site-specific data, and a recent approach based on fitting dynamic parasite transmission models to data via computer simulation techniques [ 15], to update our current knowledge of parameter values (and, hence, enhance our knowledge of key parasite transmission processes) and quantify the extant uncertainty around elimination breakpoint values.
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In order to increase conversion accuracy, segmentwise, double step, range-adaptive fitting and dynamic sampling algorithms are introduced to interpolate the data in a splinelike manner.
The forth-mode Leonov model was selected to fit all dynamic modulus-frequency curves due to its higher fitting precision (R2 > 0.99).
Rigorous modeling is sometimes a very complicated task because of the lack of knowledge about the process or because the fitting of the dynamic parameters demands specific experiments.
By biexponential fitting of the dynamic TRPL curve, the pure CsPbBr3 perovskite film exhibits a carrier lifetime of 2.82 ns, whereas the addition of nanorod-like CuPc accelerates the PL decay with an observed carrier lifetime of 0.79 ns.
Later issue machines required the fitting of 8 dynamic RAM chips and a few TTL chips.
All of the human studies examined used custom fitting of the dynamic splinting devices [ 11, 13, 15– 19] 19].
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