Sentence examples for probability is highly from inspiring English sources
The results indicate that damage probability is highly sensitive to the number of storey or building height, structural scheming, and functional usage of the buildings and other parameters such as site condition and epicentral distance are equally crucial to the structural seismic vulnerability.
As can be seen, the coverage probability is highly impacted for small values of R d for the omni antenna system; in contrast, the coverage is still high with sectorization of antennas because the signal power is directed to a certain region and hence less interference is taking place.
The transition probability is highly positively correlated to the waiting time (orange oval).
Since the conditional probability is highly correlated with progression between the two stages.
Our results address a long-standing question in the field of synaptic transmission (Yamada and Zucker, 1992; Parnas et al., 2000): If release probability is highly dependent on extracellular Ca2+ concentration (Dodge and Rahamimoff, 1967), how is it possible that the timing of release is [Ca2+]o-independent (Datyner and Gage, 1980; Van der Kloot, 1988; Parnas et al., 1989)?
Therefore, we estimated annual adult survival probability (S), while accounting for skipped spawning, and found S remained reasonably stable throughout the study period, with an average of 0.75 ((95% CRI: 0.66, 0.82), process variance σ2 = 0.005), while skipped spawning probability was highly dynamic (σ2 = 0.306).
The 29 sRNAs were predicted to be functional sRNAs, for most of them (23) the probability was highly significant (> 0.9).
We risk soon finding ourselves giving significant weight in health care allocation and prioritization choices to effects whose nature, size, and probability are highly uncertain.
The difference in pre-SPF with a detection probability was highly significant (p < 0.001) if compared to the values of the deterministic model or to the stochastic model (using either risk-based or standard sample sizes for calculation).
Posterior inference on classification probabilities is highly dependent on the choice of the prior.
Further, treatment rank probabilities are highly sensitive to the data included and statistical models employed.
