Sentence examples for predictability studies from inspiring English sources

More improvement and development of NICAM together with evaluations using available observational data will be necessary to pursue the aforementioned future directions in TC predictability studies.

To test the role of Need for Predictability, studies must measure NP independently of Uncertainty Arousal.

The adopted approach can support predictability studies in synthetic biology by distinguishing between actual unpredictability and contribution of noise and by guiding researchers in the design of suitable experimental measurement for gene networks.

This result suggests that a useful predictor of movement activity in a given community is the level of movement activity among that community's neighbors in Gsc. Figure 7 Sample results from social diffusion predictability study.

Results from MCA and the predictability study led to the suggestion that in contrast to network modifications executed downstream from the XA pathway, overexpression of XR or XDH positively affected the maximal flux capacity of UG.

In terms of vector-based predictability, this study had a tendency to overcorrect the cylinder less than -0.50 D. There were similar results in the previous studies for the LASIK procedure [ 24, 25].

Such correlations can improve the predictability of SAR studies and can provide a starting point for additional investigations that may lead to further significant enhancements in the current scoring functions.

This finding extends the cognitive science literature on estimation of numerical quantity, and lends some predictability to epidemiological studies involving recalled numerosity: Numerical recall estimated on a logarithmic mental scale means that as numerosity increases, estimations reduce comparatively.

To improve the predictability of crime-simulation studies, this study investigated two influential factors in the occurrence of residential burglary: the physical properties of building elements and offender behaviors in response to those properties.

The coding and data skills required for accessing S2S data from other centers is not a problem for many climate science researchers, such as those doing predictability research or studying model errors.

Further theoretical formulation F10 was designed as an extra checkpoint to validate the predictability of optimization study (Table 2).