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To exploit the design methodology for CPSS, we review the existing system-level design methodologies in multiple application domains and further compare their performance characteristics and applicability for CPSS.
One of the most significant quality improvement initiatives in the UK, 'Pay for Performance', has been the subject of a programme of research utilising a wide range of methodologies in multiple individual studies (Gillam et al, 2012).
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The present paper proposes a stochastic finite element based methodology in multiple scales for modeling composite materials reinforced with graphene nano-particles.
The aim of this paper is to provide not only a hybrid theoretical methodology in multiple-attribute decision making problems but also a practical application in maritime transportation industry.
We also provide a false discovery rate control procedure [ 9], a well-known statistical methodology used in multiple hypotheses testing to correct for multiple comparisons.
Subgroups were delineated according to the distribution of the WMH following the methodology previously described in multiple sclerosis patients [31].
Key to this methodology is engaging in multiple rounds of feedback from the expert panel using both anonymous surveys and round table meeting techniques to allow for optimal, unbiased expression of opinions.
This methodology has been utilized in multiple fields such as psychology, pharmacology, health education, pediatric dentistry, nursing informatics and others to describe the research and evolution of a discipline through output and citation analyses [ 20- 26].
In addition, numerous methods have been developed to increase the detection levels (Burriel Marti et al. 2000; Hancock 1984; Kubickova et al. 2011; Ersser and Davey 1991; Davey and Ersser 1990) and many authors continue using the HPLC methodologies to resolve amino acids in multiple mixture analysis (Molnar-Perl 2003; Haynes et al. 1991; Koros et al. 2007; Perry et al. 2009b).
In general the use of multiple methodologies in conjunction in specific problems, allows us to more clearly understand how different assumptions in the model, including those implicit in the modelling methodology, affect the conclusions and predictions.
While we cannot extrapolate this single patient observation to prostate cancer in general, this report describes powerful methodology to address this question in multiple prostate tumour samples, which is currently underway in our laboratory.
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