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Due to the rising popularity of Wireless Sensor Networks (WSN), there has been an increasing demand for more challenging applications.
It is expected that in the future bioinspired gradients and heterogeneities will play an increasingly important role in the development of high-performance materials for more challenging applications.
The emphasis is placed on materials selection, for problems that include target criteria, as well as cost and benefit considerations, typically seen in more challenging applications such as aerospace and biomedical engineering.
Though HTS platforms provide relatively uniform coverage in many standard sequencing experiments, in some of the more challenging applications, such as transcriptome sequencing, the coverage remains drastically uneven (Li et al., 2010; Qu et al., 2009).
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More challenging application, temperature and mission profiles require higher robustness of a metallization [1,2].
A more challenging application is to find solutions to functional equations in order to gain insights to underlying phenomena.
While in this context of functional imaging NIRS measures the hemodynamic changes associated with brain activation, the determination of the absolute optical absorption of the brain, directly related to baseline hemoglobin concentrations, is a more challenging application [ 9, 10].
Testing distributed service-oriented applications (SOAs) is more challenging than testing monolithic applications since these applications have complex interactions between participant services.
This problem of choosing the appropriate threshold becomes more challenging when the application model used in the cloud environment is complex and the metrics are limited to the utilization of computational elements.
While these systematic reviews indicate what to do, the more challenging question in application to policy and practice is how to do it.
Even more challenging are portable reforming applications where the membrane must integrate into fuel processing systems typically operating at much lower pressures than stationary industrial systems, in order to meet strict size, weight and rapid start-up requirements.
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