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*Indicates significant change in year 1 and year 3 average task length times (P < 0.05) Task time distribution was similar for different nurse classifications with the exception of enrolled nurses who spent more time in direct care and less time in medication tasks and ward-related activities and no time supervising staff.
However, for large tasks the computational load increases rapidly for increasing task length.
Here, the proposed system considers two significant criteria that are involved in scientific tasks; task length and task run time.
The Mona and LSTM networks performed well on context learning with non-modular training; the Elman performance degraded as the task length increased.
In the dynamic adaptation phase, the task is missed only if stretching the task length to meet the energy-neutral condition causes the frequency f k to be below f min. Figure 12 shows the significant improvement in terms of the missing ratio by implementing the dynamic adaptation phase.
In the dynamic adaptation phase, the task is missed only if extending the task length to meet the energy-neutral condition causes the frequency f k to be below f min. The sequence of the algorithm is shown in Algorithm 2. In this part, the complexity of the proposed heuristics is calculated.
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The fairness in task mapping means tasks with longer task lengths are assigned to the nodes with higher energy levels.
Our centralized mechanism holds for any number of machines and arbitrary task lengths, while the coordination mechanism holds only for two machines and task lengths that are powers of a certain constant.
However, for large tasks the computational load increases rapidly for increasing task lengths, compared to the low computational load associated with so-called frequency domain ILC designs.
# indicates a statistically significant change in year 1 and year 3 average task lengths(P < 0.05).
There were significant declines in average task lengths for three categories of tasks (documentation P < 0.005; professional communication P < 0.0001; ward related activities P < 0.05) and a significant increase in the average length of individual medication tasks (P < 0.05) (Table 3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com