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Cloud computing can provide a flexible storage and processing infrastructure to perform both online and offline analysis of data streams generated in BSNs.
ABFAB provides a way to use the existing EAP/AAA infrastructure to perform federated access control to any kind of application service, thanks to the definition of a new GSS-API mechanism called GSS-EAP.
However, this new mechanism also requires quantum memories that are compatible with storage and transport in a shipping container, including a stable power source, ultra-high vacuum or refrigeration systems to maintain appropriate operating conditions, and classical-control infrastructure to perform error correction and decoding32.
The 'pay per use' funding model adopted by many cloud-based services makes it an appealing option for researchers who wish to store and/or process data over a short time period and have limited or no existing infrastructure to perform the activity.
Because InDel markers have more practical value for laboratories without the infrastructure to perform SNP genotyping (Liu et al. 2013) and because they occur more frequently than SSR markers in the rice genome and use the same experimental approaches that are routinely used for SSR markers, they have received an increasing amount of attention.
Yet currently only about 10percentt of baby boomers have been tested, because most clinical practices have not developed the infrastructure to perform screening and linkage to care.
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Strain sensors can be embedded in civil engineering infrastructures to perform real-time service life monitoring.
The results of this study will encourage airlines and airport development authorities to increase their insight over aviation infrastructure, also to perform deeper analysis and find out precise values for real life implications.
Regarding the infrastructure used to perform the experiments, we used the Atlas cluster at University of Granada, which consists of 16 nodes connected via a 40Gb/s Infiniband network.
Even when similar AI engines are offered with the same learning data, differences in the training environments and the infrastructure used to perform the training can cause the training and learning to proceed at different rates and derive different conclusions as a result.
Indeed, Q-PCR methods are easy, fast and surpass the requirement of "1% sensitivity" set for diagnostic mutation assessments [21], while the infrastructure necessary to perform these tests is increasingly acquired in diagnostic laboratories.
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