Sentence examples for rates of probing from inspiring English sources

During the Bait sessions, there was a significant positive correlation between rates of probing and tool-modification behaviors (Pearson's r = 0.85, N = 7, P = 0.04), such that those chimpanzees that probed more, also performed more tool-modification behaviors.

All of the implants presented a sufficient amount of peri-implant keratinized soft tissue, low rates of probing depth (mean 2.25 mm), and presence of BOP (34%).

There was no significant correlation, however, between rates of probing behavior and tool modification in Control sessions (Pearson's r = 0.66, N = 7, P = 0.108).

The latter is important, as varying rates of probe cover perforations have been reported, ranging from 2%[24]to9%of9 % of cases [25], and even up to 81%% in one older study [26].

The hybridization rates of fastFISH probes were near ∼10 M−1s−1 which exceeded annealing rates of probe-target sequences reported in literature by up to three orders of magnitude.

Secondary endpoints included the success rates of probe placement, the site-specific discomfort of the manometry and pH probe placement procedures, the ability to perform usual activities, and the time off work between groups.

The rates of probes detecting positive expression according to more moderate criteria provided by Agilent's platform are summarized in Additional file 2: Table S3. Figure 2 shows the higher overall expression levels detected by AFAS probes using random priming compared with oligo dT priming in both normal and cancer tissues.

We choose the parameter of probing rate in ARR phase r0 in Figure8 as 10%, which is the default probing rate in SampleRate algorithm.

There were significant differences across all three phases (Baseline, Bait, and Control) regarding both the rate of tool-modification behaviors as well as the rate of probing behaviors recorded (Fig. 3) and we consider each in turn.

Thus, the proposed model does not require an aggregate penetration rate of probe vehicles to be known a priori, which is one of the main contributions of this study.

Further research will be addressed to investigate the influence of penetration rate of probe vehicles that provide information on path travel times, considering also higher dimension networks; moreover the effect of other kinds of measurements, like density and occupancy, as well as point-to-point travel time data, which introduce additional information on network congestion, will be analysed.