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Since it is not possible to know a priori which scale is more discriminative, we propose considering the different Gabor scales as different streams of information and use the training data to learn multi-stream CHMMs (mixture and state level).
To enhance the statistical power, we propose considering combinations of SNPs.
To motivate the third loss function, we propose considering the choice of summary statistics as a classification problem.
Hence, we propose considering an elevated 2-propenenitrile level in the breath that stems from cigarettes and/or car exhaust as an exogenous (risk) marker of HNSCC.
Here we propose considering the birth and death process as a fixation and maintenance index, fixation being the probability that a duplicate will spread in a population, and maintenance being the probability that a duplicate is preserved in the long term.
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Thus, the features we propose consider some degree of inaccuracy on the foreground blob.
The last model we propose considers the SAP-LAW mechanism with temporary TCP connections.
In order reproduce the behaviour obtained by the experimental z-scan curves we propose considers more than one contribution, during the z-scan, in the FLD and NL models.
The model we propose considers a production system which is protected against demand fluctuations and failure occurrences with elements like stock piles, line and equipment redundancy, and the use of alternative production methods.
The forward solver which we propose considers the effects of fluorescence on photon migration by the probability of having fluorescent photons emitted inside the medium.
Second, we do not propose considering whether a third party administered the funding of scientific work (e.g., Cohen et al. 2009) because such a mechanism seems too costly and complicated to be applied broadly under REACH or TSCA.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com