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The size of each digested restriction fragment was estimated manually by comparison with either λ DNA concatemers (lambda ladder PFG marker, New England Biolabs) or L. lactis IL1403 SmaI restriction fragments [78], with PFGE conditions optimized for optimal resolution (pulse times of 2 to 210 s, depending on the fragment size to be determined).
This finding supports the importance of an early, local Th1-type response for optimal resolution of LB.
This finding indicate an impact of the initial local immune response on the long-term outcome of LB and support the hypothesis that an early and strong Th1-type response is important for optimal resolution of LB.
A series range for each section was set by determining an upper and lower threshold using the Z/Y Position for Spatial Image Series setting, and confocal microscope settings were established and maintained by Leica and local technicians for optimal resolution.
The PCR product of exon 5 was cleaved with SacI before electrophoresis for optimal resolution on the SSCP gel.
Relative mass intensities are herein calculated applying a partial least square method and, for optimal resolution of the isotopologue data, iterative refinement is effected.
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The simultaneous optimization of the responses for separation of six sets of CHOs was performed employing empirical models for prediction of optimal resolution conditions in six matrices, condensed milk, orange juices, rice bran, red wine, roasted and ground coffee and breakfast cereal samples.
For the optimal resolution for both x y dimensions, the optimal print location is the center of the print bed.
Wang, K. et al. Rapid adaptive optical recovery of optimal resolution over large volumes.
Typically, data measurement conditions were: Zero Mode (2.7 W power for an optimal resolution in between 1.8 and 60 µm), U = 90 kV, I = 160 μA, source/objet distance = 7.6 mm, source/detector distance = 250 mm, voxel size = 1.5 μm, step time = 1500 ms, and five images averaged/step, while the first two images were skipped to avoid image reminiscence after each rotation.
The conception of PSO is based on a robust theory of swarm intelligence to search for an optimal resolution of complex problems.
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