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Multiple models have been proposed to explain the chronobiological disruptions associated with bipolar disorder (Gonzalez 2014).
Another characteristic feature of the current experiment is that multiple models have been submitted to each of the testing categories.
Multiple models have been proposed for expressing access control policies, such as Mandatory Access Control (MAC,[9]), Discretionary Access Control (DAC,[9]) and Role-Based Access Control (RBAC,[10]).
Multiple models have been proposed to explain how a D4Z4 repeat truncation is linked to FSHD, reviewed in [10].
Multiple models have been proposed to interpret the retention of duplicated genes.
From a behavioral viewpoint, multiple models have been suggested to effect behavior change.
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However, whether this activity is modulated by interaction among multiple models has not been investigated.
In case multiple models had the same AUC, the model with the lowest balanced error rate and an as high as possible sum of sensitivity and specificity was chosen.
Animal models, often proposed as being a suitable alternative to large-scale field studies, fail to match the complexity of human physiology in the critically ill patient, and discordance between multiple models has been described.
Hierarchical estimation approaches, usually a combination of multiple estimation models, have been proposed for solving some specific domain problems.
When multiple hypothesized models have predictions that are consistent with the measurements, experimental design is used to discriminate between the models.
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