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Scatter plots of the marginal probability density function of CO2 and temperature reveal that the emissions of hydrocarbons and CO can be explained by stochastic particles that undergo incomplete combustion because they are trapped in the colder boundary layer or in the crevices.
The range of drug concentrations where we cannot predict with certainty whether the patient will respond to noxious stimuli or not (requiring a probabilistic model) could certainly be explained by stochastic variation in the postulated inputs from pain, sensorimotor, and proprioceptive sensors, or the reticular activating system.
The range of drug concentrations where we cannot predict with certainty whether the patient will respond to noxious stimuli or not could certainly be explained by stochastic variation in (v^{mathrm{E}}_{mathrm{th}}) and (v_{mathrm{th}}^{mathrm{I}}); the postulated inputs from pain, sensorimotor, and proprioceptive sensors, or the reticular activating system.
Results from these stochastic simulations shows the observed long term BrdU retention cannot be explained by stochastic variation alone.
The extent of the noise seems to be too large to be explained by stochastic models that lack slow ON-OFF transitions.
Indeed, many human motor behaviors can be explained by stochastic optimal control models that minimize the impact of motor noise [12], [43], [44].
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The absence of concentration quenching of luminescence below this limit is explained by stochastic arrangement of the dopant atoms, which is confirmed by crystallographic data.
The first part of the study is the review of the evidence; the authors' suggest that most of it is explained by stochastic birth-and-death effects as well as, if not better than, by negative selection models.
A novel approach to the analysis of probability density curves of dune age frequency shows that in the Mallee dunefield of southeastern Australia only the period leading up to and including the last glacial maximum (LGM) (18 34 ka) experienced marked dune growth which cannot be explained by random stochastic activity.
The latter property can be explained by the stochastic nature of the vacancy generation/annihilation process.
The resistive switching mechanism in Zr:SiO x can be explained by the stochastic formation and rupture of conduction filaments.
More suggestions(15)
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