Nodes defined

Sinus bradycardia is an arrhythmia that originates in the SA node, defined by a sinus rate less than 60 beats per minute (bpm).12... 

Select a node, define its purpose, and determine the process safe limits... 

In some other immersed boundary methods for a fluid-solid interface, the no-slip/no-penetration conditions are enforced via an interpolation scheme (e.g., Mittal [2]). To carry out the interpolation, the variables on the grid points near the interface are used, and the interpolation may involve the ghost nodes defined outside the flow domain. In these methods, the boundary conditions are satisfied at the exact location of... 

FIGURE 23.4 Influence of Thiele modulus and pressure upon catalyst effectiveness factor. Simulations were performed on a random network of 1000 nodes, defined by the reference input parameters given in Table 23.2, for pressures of 27.5, 27.6, 27.7, and 27.8 bar, at which capillary condensation occurs to varying extents. The inset of the flgure shows an enlargement of the curves at Thiele moduli below 1.0. (From Wood J. and Gladden L.F., Chem. Eng. Set, 57, 3033-3045, 2002. With permission.)... 

The second step is the detection of the so-caUed initial meeting node defined as the... 

Application-oriented FTU The units of replication in an application-oriented FTU are also nodes belonging to a common pool of redundant nodes defined for a specific application. When the primary node fails, only nodes that are designated replicas of the application to which the failed node belongs will take over [9]. There are separate controllers for boilers and turbines. Similarly, each of them may have separate subsystems for application processing. Now, if any of these application processors fails, one application-oriented FTU from a common application processing subsystem can take over the function so that the entire system continues to operate uninterrupted. 

The level set method is represented by an implicit algorithm. In practice implicit means that we do not iterate directly on the nodes defining the front. We rather define a function from which we can extract information about the front. When evolving the function, we implicitly move the front. This implies that, even though the front may be complicated, the function itself is not necessarily complicated. This is attractive for real-world data sets, which are often noisy and abrupt. 

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