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In such a situation, the negotiation of resource allocation may be highly inefficient since a substantial portion of time needs to be used for the negotiation.
The implications of our evaluation for hospital planning and health care resource allocation may be considerable.
Also, resource allocation may be very different between academic and non-academic institutions.
Services or infrastructure, which may be modifiable through legislation or altered resource allocation, may be most appropriate.
Sexually divergent selection on resource allocation may be relatively common, since males and females, in many species, have rather different routes to successful reproduction.
A bottom up, approach to need for resource allocation may be practical for the limited range of services financed by the state in such countries and be more specific to needs than a general formula.
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In this scenario, further reductions in resource allocations may be achieved by simply allocating the sum of resource demand across all workloads in each time slice.
It is obvious that decisions based on falsified data regarding treatments, health-care priorities, health policy and health-resource allocation may be seriously misguided [3, 8, 9].
Because the numbers of the application tasks and amounts of required resources are enormous and quick responses to the requirements of users are necessary in the real grid environment, real-time resource co-allocation may be large-scale.
The optimal resource allocation may also be concerned with vehicular flow and networking model.
Efficient resource allocation may best be achieved by reserving such transfers for patients who will receive the most benefit.
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CEO of Professional Science Editing for Scientists @ prosciediting.com