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Benefits of these sample preparation approaches are that they facilitate the addition of one or more internal standards, known amounts of the analyte(s) of interest (for standard addition purposes) or isotopically enriched spikes (for isotope dilution purposes), as well as the possibility to adjust the analyte concentrations as required (dilution).
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One benefit of the sample is that it included a number of children with asthma, ensuring that comments from children with the most common chronic disease in the United States were included.
To assess the potential benefits of CB to sample these lesions, as opposed to traditional FB, a retrospective review was conducted to evaluate the safety of this procedure, volumes of material obtained, the types of lesions amenable to biopsy in this fashion, and the overall diagnostic yield.
We investigate the potential benefits of locating sample points on an spatial rather than temporal basis.
We measure multimedia service delivery performance over standards-conforming WiMAX testbeds in Finland and Portugal, and evaluate the benefits of voice sample aggregation and robust header compression (ROHC) in practice.
The benefits of strategic sample composition are demonstrated by means of an example case study, and the pros and cons of preparing the composite samples from sample extracts or directly from textile products are discussed.
Furthermore, the study illustrates the importance and benefits of robust sample preparation and clean-up to compensate for limited selectivity when low-resolution MS is used.
The benefits of an increased sample size outweigh the disadvantages, through developing a more reliable sampling group by combining the two subgroups.
A quasi-experimental design was used to measure benefits of yoga in sample of firefighters from a major metropolitan fire department.
The conflation of research and clinical care influenced participants' perceptions of the potential benefits of sample donation, which included receiving individualized information about medical diagnoses and future disease risk.
Imputing values may introduce more information bias and a greater uncertainty in the results, which could offset the benefits of a greater sample size.
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CEO of Professional Science Editing for Scientists @ prosciediting.com