Sentence examples for passive normal from inspiring English sources

Exact(7)

First we describe an idealized scenario — a homogeneous viscous fluid of uniform depth with a particle undergoing passive normal diffusion — where the theory of Brownian motion affords the ability to rigorously specify particle size distributions to meet a prescribed, one-sided, diffusive passage time distribution.

FiO2 selected in passive normal lung patients was 30 (30 to 31)%.

This game has logical applicability to cancer dynamics in that the aggressive malignant cell (hawk) competes with a passive normal cell (dove) for biological energy.

In passive ALI/ARDS ventilation-days, FiO2 and PEEP were statistically higher than passive normal lung (35 (33 to 47)% vs. 30 (30 to 31)% and 11 (8 to 13) cmH2O vs. 5 (5 to 6) cmH2O, respectively; P < 0.05).

In passive ARDS patients, FiO2 and positive end-expiratory pressure (PEEP) were statistically higher than passive normal lung (35 (33 to 47)% versus 30 (30 to 31)% and 11 (8 to 13) cmH2O versus 5 (5 to 6) cmH2O, respectively; P< 0.05).

In passive ARDS ventilation days, FiO2 and PEEP were statistically higher than in passive normal lung patients (35 (33 to 47)% versus 30 (30 to 31)% and 11 (8 to 13) cmH2O versus 5 (5 to 6) cmH2O, respectively; P < 0.05) (Table 4 and Figure 3 and 4).

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Four categorizations of policy implementation: passive implementation, normal implementation (low speed), campaign-style implementation, and normal implementation (high speed)   Applicability of policy Low High Pressure for implementation Low Passive implementation Normal implementation (low speed) High Campaign-style implementation Normal implementation (high speed).

Severe derailment scenarios of trains passing through the passive and normal road-rail crossings have been analysed and presented.

The resulting Γ ^ ∗ indicates whether a data point d i t r has an underlying active (1) or passive (0) normal distribution d itr ∼ N (μ i 0, σ i 0 ), if γ ^ itr ∗ = 0 N (μ i 1, σ i 1 ), if γ ^ itr ∗ = 1.

This paper develops a new hybrid imbalance vibration control approach for an ABD-rotor system supported by a normal passive bearing in augmented with an AMB to enhance the balancing and vibration isolation capabilities.

Subsequently, we evaluate the performance of our model in matching the temporal dynamics of the modulation of cortical excitability during the passive observation of normal and unpredictable movements of human demonstrators.

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