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The two methods characterize film-forming ability in two conditions.
For instance, damping torque based methods characterize the source by the generator with a negative damping torque coefficient, and the energy based methods characterize the source as the generator producing dissipating energy.
Other methods characterize the spikes in time or frequency domain and through morphological analysis decompose the EEG signal [10] or assume local stationarity of the noise and detect spikes as deviation from that stationarity by applying parametric models [11, 12].
Together these methods characterize: (1) the emergence of sharedness of the team mental model; (2) the accuracy of the team mental model in relation to a dynamic referent model; and, (3) the enactment of the team mental model as goal-directed behavior.
Passive methods characterize the system as is, ie, they measure steady-state properties.
In addition to the lack of specificity, these methods characterize ambient levels and do not consider indoor infiltration.
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We give an overview of biomechanical methods characterizing biomaterials prior to and after in vivo implantation.
NMR and MRI (magnetic resonance imaging) methods characterized bead integrity and the state of protons in the gel beads.
Equiprobable hydraulic conductivity (K) fields reproduced by geostatistical methods characterized the spatial uncertainty of contaminant transport in the heterogeneous aquifer.
Overall, we observe a trade-off between sensitivity and specificity in orthology detection, with BLAST-based methods characterized by high sensitivity, and tree-based methods by high specificity.
Limitation of some of the experimental methods characterizing disorder and computational methods serving as input features for MD may have led to apparent over-prediction of short stretches and under-prediction of long regions (Fig. S4).
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