It is argued that scientific methods need to reflect better the realities of multicausality, mixtures, timing of dose, and system dynamics, which characterize the exposures and impacts of EDSs.
Simulating the dynamics which characterize non-digital traditional instruments, haptic interfaces are used to make sound from a gesture interaction with an energetic coupling between the instrument and the player [16].
The computational model of the proposed approach is based on a dynamic Markov network, a generative model which characterizes the dynamics, the image observations of each individual limb, as well as the spatial coherence among them.
Following Abeyratne, Knowles, LeFloch, and Truskinovsky, who studied similar questions arising in fluid and solid flows, we determine the associated kinetic function which characterizes the dynamics of undercompressive shocks driven by resistivity and Hall effect.
One important parameter, which characterizes the dynamics of viscoelastic fluids, is the Deborah number [23], [24].
It is the classic Phillips-Heffron model, which characterizes the SG dynamics with inertia, synchronizing and damping coefficients [13, 14].
In the 'model-free' approach [1], [2], the internal dynamics are quantified using a generalized order parameter, S2, which characterizes the amplitude of motion, and an internal correlation time τi.
a micro-scale, for modeling the behavior of individuals; a meso-scale, which represents the interaction dynamics of individuals within the same network partition element (community or core/periphery); a macro-scale, which characterizes the interaction between partition elements.
In gas dynamics, the ratio of the molecular mean free path "λ" to some characteristic length "L" is a measure of a dimensionless number so called Knudsen number which characterizes the approach upon which the fluid properties are calculated.
As we hypothesized, by optogenetic targeting of pyramidal neurons in layer V of the vMCx in a rat and co-expression of ChR2 and eNpHR, we can study the whisking behavior and retrieve parameters which characterize the dynamics of the motor cortex and the putative CPG through which this activity is controlled.
