Sentence examples similar to monitoring of aggregations from inspiring English sources

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In the case of amyloid imaging, subjects often have multiple PET scans for diagnostic or therapeutic longitudinal monitoring ofaggregation in the brain.

For these reasons, QD could be an excellent tool for real-time monitoring ofaggregation and localization.

The real-time video recording permitted the monitoring of platelet aggregation and revealed size-selective vascular closure as well as some degree of vasoconstriction.

In-situ monitoring of L. conchilega aggregations revealed different temporal trends for tube density and EPS content at the sediment surface between the center and edges of patches.

The proposed solution fulfils the requirement for intensive condition monitoring of individual animals, aggregation and timely reporting of data to the farm manager.

The present study reports that real-time video recording of verteporfin-induced neovessel thrombosis using the CAM model and a standard-sensitivity camera allowed monitoring of the location, aggregation and release of platelets, with an end result of selective vascular closure after 5 15 min.

(C ) ThT monitoring of 10 μM Aβ aggregation and inhibitory effects of 100 μM peptides present from the beginning of the aggregation at 37°C.

For high concentration samples, CD (circular dichroism) and QLS (quasielastic light scattering spectroscopy) have been used to monitor the progression of aggregation from monomers to HrMS species, however, these methods are impractical for routine clinical sample analysis [11], [24], [25].

As a final remark, it is worth mentioning that the FTIR spectroscopic methods adopted in the present work also allow one to monitor the progress of aggregation in vivo by detecting the FTIR signal in several model organisms, such as E. coli [37], yeast [38] and Caenorhabditis elegans [39], [40].

Therefore, a cheap, efficient and quantitative method capable of monitoring the aggregation from monomers to any HrMW species is highly desirable [13].

Efficient auto-scaling of cloud resources relies on the monitoring of the cloud, which involves multiple aggregation processes and large amounts of data with various and interdependent requirements.

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