Sentence examples for were adjusted specifically for from inspiring English sources

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Primer concentrations were adjusted specifically for microdevice amplification, resulting in well-balanced short tandem repeat (STR) profiles.

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The model parameters have been adjusted specifically for a 1.2 kW Ballard stack, which can be considered a benchmark as it is widely used by research groups worldwide.

Although there are concerns about the privacy and surveillance aspect of monitoring employees, the applications to agricultural operations can be adjusted specifically for what would be most valued by farmers and farm managers.

It is noticeable that all parameters of the PAPR reduction schemes are adjusted specifically for DRM30 mode B. The clipping level is adjusted so that an average MER-value of about 35 dB is granted for each scheme, whereas the spectral properties of signal are maintained.

Concentrations for the enzyme, as well as for MgCl2 and MnCl2 were adjusted specifically to the requirements of the individual enzyme.

The cost of FN was the only one available from literature [ 18], based on a retrospective chart review and adjusted specifically for the context of lung cancer.

Calculations for repatriate population estimates used specifically for genetic analysis were adjusted to account for the sexual immaturity of most razorback sucker at the time of repatriation into Lake Mohave (i.e., not expressing gametes).

Results were adjusted for the oxygen consumption specifically inhibited by sodium azide (i.e. mitochondrial).

Specifically, all models were adjusted for log10-transformed total DAP, DE, or DM concentrations and exact age at assessment, sex, parity, breast-feeding duration (months), HOME score (continuous), maternal PPVT (continuous), and household income in relation to the federal poverty threshold (U.S. Census Bureau 2000).

Specifically, the OHC data were adjusted for the sampling procedure using an RDS estimator and captured more 'hidden' populations such as persons who are homeless, transient or have low-literacy skills, who are known to be under-represented in the Census.

(Results were adjusted for inflation).

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