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These efforts have placed an emphasis on the development of multifunctional vectors able to execute multiple tasks to simultaneously overcome both extracellular and intracellular obstacles.
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The new algorithm is able to fast and effectively generate a sequence for executing multiple tasks in a cluttered maritime environment involving numerous obstacles.
Overlaying a peer to peer workflow management system on multiple independent sites decouples task expression from resource allocation, i.e., the host resource managers allocate processing elements to host the peers, allowing the peers execute multiple workflow tasks.
Furthermore, we develop some modules in the Floodlight controller to perform multiple tasks such as obtaining the initial information of PAP including RSSI and CS information by executing algorithm1, and the LAPM controller also performs processing to enable additional MAC layer functions.
In our study, MTC is used to address the problem of executing multiple parallel tasks in multiple processors.
They had to execute multiple rounds of layoffs and multiple fire sales.
Parallelization in the MapReduce framework is achieved by executing multiple Map and Reduce tasks concurrently on different machines in the cluster that runs the model.
The first, second, and fourth execution phases each contain multiple tasks to execute whereas the third and fifth execution phase each only have one task to execute.
Digital microfluidic biochip revolutionizes the medical diagnosis process rendering multiple tasks executed on a single chip.
Each phase comprises multiple tasks that execute in parallel (i.e., see Fig. 2).
Applications designed to execute on human computation systems may encompass one or multiple tasks.
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CEO of Professional Science Editing for Scientists @ prosciediting.com