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This paper summarizes artificial ground motion procedures, which were studied using a stochastic point-source model.
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The Empirical Transfer Function (ETF) was constructed as the difference in frequency spectra between the observed and synthetic ground motions, using the stochastic point source approach for the Taipei basin (Huang et al. 2017).
These findings were corroborated in a more recent study using a stochastic continuous Markov chain model for GC-biased synonymous point substitutions across hundreds of bacterial, plant, and human genes.
Uncertainty is considered using a stochastic ToBloOM.
This implies using a stochastic imputation.
For attenuation correction, a transmission scan (5 min) was performed using a 137Cs point source.
The UPE project has used a stochastic approach instead.
We use a stochastic, individual- and network-based simulation approach.
It uses a point source of monochromatic light at the focus of a quality lens.
In this paper, improved approximate controllability results of a class of stochastic partial differential systems with infinite delays are obtained in a general case by using a fixed point theorem, stochastic analysis techniques and an important lemma established, which fills a gap of the research area of control theory for stochastic functional partial differential systems.
Stochastic transitions are identified using a change-point algorithm (Ensign and Pande, 2009) and results from this analysis are superimposed on the raw intensity traces.
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