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This has provided motivation for modeling utility as a sigmoid function of throughput[2, 3], i.e., convex at rates less than a threshold and concave at rates above that threshold.
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We therefore model utility as a function of income (rather than consumption).
Kuo et al.[15] model utility as a sigmoid function of bandwidth, and design heuristic algorithms to choose a near optimal bandwidth allocation.
We propose to model user utility as a sigmoid function of the average bit rate over multiple time slots.
Thus, we propose to model user utility as a sigmoid function of the average rate over a time window, as pictured in Figure1.
Experimental data are used to validate the numerical model, its utility as a design tool being proved.
A few articles model user utility as a sigmoid function of instantaneous rate or bandwidth.
Instead of (1), for throughput-based costs with dynamic altruism and utility being a concave (log) function of throughput, we can model the net utility as V ~ i ( q ¯ ) = C i log ( γ i ( q ¯ ) ) + A i α i ( q ¯ − i ) γ ¯ − i ( q ¯ ) − M i γ i ( q ¯ ).
In the model, utility gain was defined as the result of increased utility based on improvement in NYHA class.
Patient-derived tumour xenograft models offer superior utility as preclinical models over cell line systems with their ability to recapitulate the milieu and microenvironment of the primary tumour.
The ability to prevent HPS disease with neutralizing antibody treatment highlights the specificity of this model and its utility as an alternative model for the testing of MCMs.
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