Exact(1)
Within our modeling scheme, variable R1 represents EGFR, R2, IFNR, C1 and C2 represent EGF and IFN complexes alone (i.e., complexes formed by the receptor and one end of the chimera, with the other chimera subunit free to bind to its corresponding receptor).
Similar(59)
We evaluated the dataset and selected 19 most significant admission scheme variables to be included in completeness ratio calculations.
Both construction (equipment sizes) and discrete operational (pricing tariff schemes and operational strategy) variables were optimized based on realistic conditions.
In our study, even though a sequential scheme of variable selection was adopted in VIP-PLS-DA, a large number of variables were found to be important.
The FC scheme forces variable nodes, which have highly reliable information, to stop updating their information.
This would explain our motivation to propose second adaptive frameless ALOHA scheme featuring variable step sizes.
In this automatic scheme, the variable parameters of classifiers are optimized using a powerful method namely Particle Swarm Optimization.
This paper proposes an exponentially weighted moving average scheme with variable sampling intervals for monitoring linear profiles.
The new ABCs are used together with the recently introduced compact sixth order finite difference scheme for variable wave numbers.
The finite sensing range of a sensor node is considered and a node activation scheme with variable activation radius is introduced for energy saving.
In addition we combine a second-order fully implicit time discretisation scheme with variable step size control to obtain an adaptive time and space discretisation method.
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