Sentence examples for subject alignment from inspiring English sources

Each subject alignment was carefully examined for regions of highly variable, ambiguous alignment, in which a preponderance of indels and repeats occurred, making a probable alignment difficult.

This procedure minimizes residual motion artifacts and differing image quality due to subject alignment.

Despite the photoreceptor reflectance fluctuations [ 11, 41, 42] and other sources of variability such as image registration, tear film and subject alignment, the observed reflectance amplitude values (shown in Table 2 >) are consistent with the SCE predictions.

The T1-weighted structural images were acquired for subject alignment using a magnetization prepared rapid acquisition gradient echo sequence with the following parameters: voxel resolution 1 × 1 × 1 mm, echo time = 4.7 msec, repetition time = 2040 msec.

To minimize any influences of subject alignment on the measurement, 10 3datata sets were recorded at exactly the same location on the retina (~4° eccentricity nasal from the fovea) of healthy volunteers for every time point in the time series.

Though certain colleges do have subject alignments (e.g., Nuffield College as a centre for the social sciences), these are exceptions, and most colleges will have a broad mix of academics and students from a diverse range of subjects.

The best alignments, in which there are no gaps in the query or subject alignments are color coded in red; the next best alignments, that have subject gaps but no query gaps are coded in green; the third category, in which there are both query gaps and subject gaps are coded in blue and the poorest category, that contains query gaps as well as mismatches, is coded in black.

This method has recently improved with the introduction of DARTEL analysis that allows the identification of structural changes with a more accurate inter-subject alignment [13].

While anatomical templates are widely used for inter-subject alignment in functional magnetic resonance imaging (fMRI) studies, they are not sufficient to identify the mapping between voxel-level functional responses representing specific mental contents.

Prior to the start of the experiment, we obtained an estimate of subjects' alignment and bisection thresholds at each separation using an adaptive staircase procedure, with a total of 50 presentations.

Between-subject alignment of anatomy based on functional response is possible with CARET software (Van Essen et al. 2001).