The study is focused on prediction of amplifications in soil profile for excitations causing strains of small to medium magnitude.
Prediction of CCND1 amplification using plasma DNA is thought to be a promising prognostic biomarker in ESCC patients.
Such information would help further constrain epidemic SLEV transmission forecasts and permit more accurate identification and prediction of local amplification "hot spots" throughout south-central Florida.
Takeshita H, Ichikawa D, Komatsu S, Tsujiura M, Kosuga T, Deguchi K, Konishi H, Morimura R, Shiozaki A, Fujiwara H, Okamoto K, et al. : Prediction of CCND1 amplification using plasma DNA as a prognostic marker in oesophageal squamous cell carcinoma.
Mathematical modeling further predicts that decreasing Emax also impacts both the shape and position of an amplification profile, as illustrated in Figure 2. To empirically test these predictions, a series of amplification reactions were conducted, the first of which involved reducing ΔE by progressively increasing reaction volume.
However, past studies have found that, in some cases, prediction of the site amplification at the site natural frequency by RVT analysis can be 20 50% larger than with time-histories approach.
These include the presence and predictability of nonlinear relationships between the metric estimating the prediction of exposure and confounding amplification, and the potential strategies to address these nonlinearities.
In the lower ranges of exposure prediction (at least as measured by explained variance in terms of R ), a simulation has shown that a predictable relationship exists between amount of remaining unexplained variance in the prediction of exposure and confounding amplification.
As Hough et al. (2010), Shafique et al. (2012), and Yong et al. (2012) described, one recent practical use of geomorphological information on the medium to small scale is the prediction of earthquake ground motion amplification.
Additional research is clearly needed to determine if a similarly predictable relationship exists for other metrics of exposure prediction (such as those proposed for logistic regression ), and whether apparent nonlinearities between the prediction of exposure and confounding amplification at more extreme ranges of prediction can be addressed quantitatively.
