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High-statistics for collected data will be achieved by means of the planned 5-years exposure time together with a geometrical factor of 0.12m2 sr.
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Data triangulation will be achieved by comparing interview data from family carers, care home staff and interdisciplinary team members to explore the intervention from different perspectives.
This will be achieved by triangulating the data in the case study with third party external sources.
More savings will be achieved by simplifying ITER's control, data access and communications system essentially the brain and senses of the reactor.
Monitoring of adverse events will be achieved by weekly questionnaire/interview- and proxy information will be obtained whenever necessary to minimize missing data.
Still, assessor-blinding will be achieved by blinding the assessor performing outcome assessment and CRF data entry to the random allocation and treatment of subjects.
The feasibility investigation will be achieved by documenting recruitment numbers, dropouts and retention in the final wave of data collection.
These scientific challenges will be achieved by using advanced 'omics' technologies coupled with the vast quantities of genomic data that are already being accumulated by the HMP.
More accurate scheduling results will be achieved by suing the centralized approaches, which also lead to a large amount of data transmission and computation.
The validation will be achieved by a comparison of reconstructed critical frequency values with the ionosonde source station (SS) data.
This reduction will be achieved by "efficiency savings" across Whitehall.
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CEO of Professional Science Editing for Scientists @ prosciediting.com