Sentence examples for presentations we used from inspiring English sources

At each time period, we determined fry proximity to (i) each other, (ii) the stimulus (for chemical stimulus presentations, we calculated the distance of each fry from the chemical water input tube; for CV presentations, we used the distance of each fry from the nearest adult), (iii) the nearest corner of the test tank, and (iv) the nearest wall of the test tank.

To identify spike events, i.e. spikes that were reliably reproduced in more than 33% of stimulus presentations we used the peri-stimulus spike density function (PSDF, Fig. 2D) as a continuous estimate of firing frequency along the course of the stimulus.

To analyze differences in call duration in response to playback presentations, we used a LMM to correct for differing numbers of calls per individual.

For S1 presentations, we used morphed faces linearly interpolated between fearful and neutral expressions to construct image sequences that were predictable or scrambled.

Our method for assessing physical activity can differentiate between the intensities of physical activity MET by MET, but to simplify our presentations, we used cut-off points of ≥3 and ≥6 METs to describe MVPA and VPA, respectively, as these are used in the physical activity recommendations.

In analysis of emergency presentations, we use 'Emergency' vs 'Other' (i.e., GP and Consultant/Other/Unknown combined) to focus on the distinct characteristics of emergency routes to diagnosis.

To further assess whether cross-presentation of OVA protein with NPs requires proteasome or lysosome degradation for presentation, we used velcade and NH4Cl, which are highly specific inhibitors of the proteasome and lysosome [18].

For presentation, we used linear contrast enhancement on entire images.

To investigate this mechanism of cross-presentation, we used a chemical compound that specifically blocks the proteasome (MG-132).

In the network presentation we used here, the width of a link is proportional to the inverse of the non-rejection rate, which indicates the confidence with which the hypothesis of null partial correlation is not rejected, that is, the chance of the edge not existing in the graph is the smaller the smaller the non-rejection rate is.

For the descriptive data presentation we used SPSS V.16; the regression analyses were conducted using SAS9.