The phrase "apply task" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to the action of applying a task or executing a task, but as it stands, it lacks clarity and context.
Example: "Please apply the task to the project plan to ensure we stay on schedule."
Alternatives: "execute the task" or "perform the task."
Also, most WSNs include a DPM which must command/control power modes, shutdown devices, apply tasks scheduling, and so forth.
On the other hand, when a very targeted, applied task is heavily funded and organised – the virtual eradication of polio, for example – expected benefits can also be achieved.
Applying task analysis can be divided into several steps.
These findings are in line with previous research and point toward the relevance of prefrontal brain structures for flexible working memory processes that control the adaptation of neural resources to the demands of the applied task [ 2].
Importantly, this work was done without any externally applied task contingencies, which have been shown to exert a strong influence on the firing of hippocampal place fields (Kentros et al., 2004; Muzzio et al., 2009; Dupret et al., 2010).
Prior work demonstrating that spatial behavior in total darkness can be guided by odor traces (Lavenex and Schenk, 1998) by definition has externally applied task contingencies: the animals are motivated to attend to olfactory cues.
Therefore, it was expected that classification and clustering would be the most frequently applied tasks.
So, study of morphology and spatio-temporal dynamics of the ionospheric irregularities, their dependences on geophysical factors for proper specification by an empirical model is actual for both fundamental and applied tasks.
A lack of process specificity of the applied tasks will thus dilute existing genetic effects and lead to a decreased sensitivity for their detection.
A dissimilar-task-switch occurred when participants had to apply a task from a different category compared to the previous trial.
We propose here to use the task of data clustering to apply a task-driven evaluation of community detection algorithms.
