Sentence examples for but we employed from inspiring English sources

These results contrast with a previous study where forearm blood flow responses were improved following allopurinol (5), but we employed different techniques and did not design our study to detect differences in these parameters.

We employed the individual as she was already a Band 7 sister but we employed her as a Band 7 advanced nurse practitioner, working day time with me for 18 months to make sure she could be trained and that she was proficient in doing the practical procedure that she needed to.

The choice here is also manifold (see, e.g., [ 13], where a complex index is defined to estimate the cost of amino acid replacement) but we employed only one measure of amino acid similarity, namely the Polar Requirement Scale proposed by Woese et al. [ 64], which is a measure of amino acid hydrophobicity.

(Medical Consultant 2) We employed the individual as she was already a Band 7 sister but we employed her as a Band 7 advanced nurse practitioner, working day time with me for 18 months to make sure she could be trained and that she was proficient in doing the practical procedure that she needed to.

"I can't tell you exactly why, but we employ about 500 people," said Jackie Dever, banquet manager at the Lobster House.

"It can accommodate 630 people, but we employ only half that now, so we are looking for a building half this size".

Note that due to fading, there are variations over the transmission but we employ the total average power to set the signal-to-noise ratio (SNR).

Several interpretations of that outcome are possible, but we employ the conservative assumption that the avoided hip fractures are only avoided for one year, after which the individuals run the risk of contracting a hip fracture during the following years.

As a first approximation, here we report rBFI variations in units of BFI per mmHg using only low-pressure data for the shortest source-detector separation, but we employ linear fits over the full pressure range at the other (larger) source-detector separations.

Furthermore, we did not exclude articles on the basis of sample size, but instead, we employed statistical models to weight studies on the basis of the number of OPSCC specimens analyzed.

These predictions are based on the co-occurrence in functionally characterized RCGs of genes known to cause similar phenotypes In this work we considered gene expression data derived from human normal tissues with Affymetrix microarrays and with SAGE, but the techniques we employed are readily generalized to any high-throughput gene expression platform.