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When it comes to budgets and the deficit, the Deep Throat methodology is usually the more informative.
Neither an algorithmic nor a procedural layout design methodology is usually effective in solving a practical design problem.
This methodology is usually limited to preclinical models, such as cell assays or xenograft tumors in rodents.
Due to flexibility and short-term iteration of the agile process, the agile methodology is usually applied to mobile software projects [5].
In the case of joint calibration using RP and SP data, the scaling estimation methodology is usually applied; this methodology allows variability among different types of data jointly used in a statistic analysis to be considered.
Bayesian methodology is usually underpinned by the use of the Markov Chain Monte Carlo (MCMC) method especially the use of the Gibbs sampler (see Gelfand and Smith 1990; Casella and George 1992 for exposition on the Gibbs sampler proposed by Tanner and Wong 1987) to augment data.
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Whereas alignment and sound methodology are usually addressed before or during the implementation of the research study, the communication of research findings and their potential translation into policy happens after (first) analyses have been conducted.
The recently reported methodologies are usually based on metal-catalyzed cross-coupling of various CF2 carriers with aryl halides and boronates.
Furthermore, these methodologies are usually carried out in a one by one fashion, which is not suitable for global and high-throughput analysis.
In response surface methodology, one is usually interested in estimating the optimal conditions based on a small number of experimental runs which are designed to optimally sample the experimental space.
In industrial process control, response surface methodology (RSM) is usually used to determine the levels of input variables that optimize a particular response [18 20].
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