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Conclusions: This strategy is expected to generate proof-of-principle for viroimmunotherapy in a highly stringent model of disease.
However, the analytic solutions developed to date are not suitable for practical engineering applications because of the stringent model requirements and complicated boundary conditions.
Although the p-factor and r-factor should be > 0.8 and < 1, respectively (Abbaspour 2007), the p-factor value of 0.48 (~ 0.5) in Table 5 is also sufficient under less stringent model quality requirements (Schuol et al. 2008).
Yet, the use of cross validation throughout the full model selection process coupled with a very stringent model evaluation with an independent data set with data from different sources, which produced similar results to the training-validation dataset, is a guarantee that these problems are minimized and of reduced impact respective to its application to a real world scenario.
Tumor tissue slices offer a stringent model system for preclinical evaluation of adenovirus therapies, since the slices retain a morphology and phenotype that more closely resembles the in vivo setting than cell line cultures, and this system has been shown to have utility in the evaluation of viral infectivity and replication.
Other companies, like Expedia, use a more stringent model that only allows an individual who has purchased something from their site to leave a review.
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Carriers have been forced to play nicely with Apple while losing revenue on services they would have normally provided but can't because of Apple's disruptive lead with consumers and stringent models.
Jack Henry, however, is one tech firm that has established a strong, lengthy track record, so much so it gets approval from the strategy I base on Buffett's approach one of my most fundamentally stringent models.
We observed that in the case of using stringent models for GWAS the larger portion of the trait variation is explained by the model itself and the less variation is left to be explained by genetic effects.
This donor-recipient strain combination is one of the most stringent models as it crosses MHC mismatches plus minor histocompatibility antigen mismatches, and as B6 recipients are relatively costimulation blockade-resistant (13, 28).
Sample treatment in many different locations needs stringent modeling of multiple identifiers that are associated with the sample and its metadata, leading to the need for mapping or conversion steps.
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