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The constraints consist of mass balance, capacity limitation, recycling limitation, scale economy, conditionality, and relevant screening restrictions.
The association of balance capacity and falls self-efficacy with history of falling in community-dwelling people with chronic stroke.
In [8], a related scheme was presented in which H is block-wise diagonalized to narrow down the number of jointly detected streams to two, and then GMD is applied to balance capacity within each pair of subchannels.
One of the main aims of the contest was to evaluate the prototype's electrical energy balance capacity in terms of self-sufficiency, low energy consumption, and the temporary generation consumption correlation demand.
The optimization objectives include economic impacts characterized by recycling income and cost components for waste management, while the constraint set consists of mass balance, capacity limitation, recycling limitation, scale economy, conditionality, and relevant screening constraints.
Decision-makers often have to rely on optimization models to examine the impacts of mass balance, capacity limitations, operation, and site availability as well as to analyze different alternative options in the selection of a cost effective, environmentally sound waste management alternative.
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As a consequence, a number of studies suggested that close relationships between balance capacities and the level of sleepiness can be considered [ 1, 4, 6, 7].
When external parameters were controlled, it has been shown that the greatest variations in balance capacities throughout a normal day were observed between 6 00 a.m. and 6 00 p.m. [ 7].
Rather, ensuring adequate system balancing capacity, whether from generation, storage or demand management, must be considered as well.
Lund et al. show how a fully operational local CHP plant not only can satisfy local energy needs but easily also can operate as efficient balancing capacity.
This concept of balanced capacity is closely related to the one presented in [10] where a low complexity suboptimal algorithm that maximizes the sum capacity while maintaining proportional fairness among the users data rate is developed.
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