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Protein aggregation induced by modulating conditions in solution (e.g. thermal stress and agitation) was monitored over discrete time periods.
The objects of each of these categories may be regarded as sets which are varying in some manner: in case (i) over a Boolean algebra; in case (ii) over a topological space; in case (iii) over (discrete) time.
To date, the closest approximations of this ideal in practice have so-called 'step tolls', in which the toll takes on different values over discrete time intervals, but is constant within each interval.
The network consists of N clusters where the n-th cluster has M n sensors and a clusterhead (CH), n = 1,..., N. The sensors measure a single point source denoted by θ[k] over discrete time instants k = 0, 1, 2... and send the measurements to their corresponding CH. θ[k] is assumed to be an independent and identically distributed (i.i.d).i.d
Costs and health outcomes were attached to each health state, and transition probabilities were assigned to dictate the movement of children between the states over discrete time periods, or cycles [23].
LINE-1 (L1) retroelements emerged in mammalian genomes over 80 million years ago with a few dominant subfamilies amplifying over discrete time periods that led to distinct human and mouse L1 lineages.
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In general, most of the PAPR reduction schemes are implemented over discrete-time signals.
Although these models establish advantages over discrete-time representations, they are still inefficient in solving moderate-size problems, such as maximization of profit in long horizon, and minimization of makespan.
GPs have several advantages over discrete-time trajectory representations: they can represent a continuous-time trajectory, elegantly handle asynchronous and sparse measurements, and allow the robot to query the trajectory to recover its estimated position at any time of interest.
In all pulse constructions the pulse profile is computed over 100 discrete time steps, permitting calculation of relevant filter-transfer functions.
To this purpose, we formalize a real-time mixed-integer nonlinear programming problem over a discrete time dynamic system, and propose a hybrid random/nonlinear programming scheme that allows to find good solutions while remaining computationally feasible.
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