In addition to baseline and trend data monitoring, this approach could also be used for generating data for ecologic level analyses.
Future studies are needed to determine the sensitivity and specificity of ischemia monitoring with this approach.
Particularly informative for regions with limited wildlife monitoring records, this approach provides a critical new tool for establishing elusive baseline data for rapidly changing ecosystems.
Although its spatial resolution at this stage is limited, the distribution of a given peptide across a tissue section can be monitored with this approach [ 18].
In contrast to most standard hydrologic monitoring methods, this approach measures conditions over a large, continuous geographic domain, but at relatively infrequent time intervals.
One micromole of labeled LysMAcmA domain was able to bind approximately 2 × 10 BLPs showing that low levels of PG or small numbers of microorganisms in solution can be monitored using this approach (Petrović et al. 2012).
Based on monitoring activities concepts, this approach provides an exhaustive set of monitoring procedures to apply among several situation during a manufacturing cycle.
This work proposes the integration of the artificial intelligence tools based on adaptive neuro-fuzzy inference system to ensure the heavy duty gas turbine monitoring, this fuzzy approach has the advantage of no need to the use of the analytical models to control the speed and the exhaust temperature in this equipment and make the gas turbine performance monitoring improved.
The relative ease of obtaining circulating whole blood for the purpose of monitoring rejection makes this approach fundamentally appealing.
More recently, Paciorek and Liu (2009) probed the limitations of using AOD without accounting for vertical distribution or speciation and concluded that agreement with ground-based monitors based on this approach might depend on factors other than satellite observations.
