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Overall the agreement between the model and the experiment was good, indicating that the model predictions are valuable for the design of compositions and conditions for controlling particle distribution in polymer-particle composite films.
Although these predictions are valuable, a large number of patients with clinically localised disease are left with an intermediate prognosis (Albertsen et al, 1998, 2005; Cooperberg et al, 2005; Cuzick et al, 2006; Kattan et al, 2008; Cooperberg et al, 2009), and there is considerable uncertainty about their need for radical treatment.
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Such information on the possible range of predictions is valuable in developing robust design methods for coastal structures, tsunami-proof buildings, evacuation plans, and land use policies (FEMA2008; Murata et al.2010).2010
We appreciate that, while our prediction is valuable, it is currently still a prediction and cannot be considered a golden standard yet.
The results are giving some interesting features of TE/TEA N2-lasers for lasers g0, Es predictions which are valuable for laser designs and also for further theoretical investigations.
Clinical prediction rules are valuable tools in a surgical setting but should not be used to guide clinical practice until validated in other populations.
Notwithstanding the limitations, the results and predictions reported above are valuable, because they provide a number of clearly defined testable hypotheses, whereas the associated pitfalls and limitations are well known to many researchers working with 'non-model' organisms and are not unresolvable in the future.
As described by the authors, transmembrane domains are difficult to assess experimentally, so accurate methods for annotation of transmembrane proteins based on experimental data and predictions are very valuable.
Finally, we found that active prediction and corrective feedback are valuable in fostering a linear representation of magnitude.
Nationwide predictions of flow time-series are valuable for development of policies relating to environmental flows, calculating reliability of supply to water users, or assessing risk of floods or droughts.
The geographic predictions generated by these methods are valuable because they represent powerful hypothesis-generating tools [27].
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