Sentence examples for serve as predictions from inspiring English sources

To apply the proposed algorithm to TCP's RTT-prediction problem, the experts predictions x i shown in Algorithm 1 serve as predictions for the next RTT measured.

While experimental measurements are the foundation of our knowledge of biological systems, estimates serve as predictions that are useful in testing where we might be holding misconceptions about cells or about methods that measure their properties.

However, our current data demonstrate that HNSCC-derived slices can be kept in culture, may serve as prediction assay and can be used to better understand the mechanisms of tumour resistance by harvesting surviving tumour cells after treatment.

Its results serve as testable predictions, provide insights into signal transduction and regulatory mechanisms and can guide targeted computational or experimental follow-up studies.

After suitable correction, these models serve as reliable prediction tools that guide the optimization process.

This work has successfully demonstrated that NDR peak voltages of HPAs can serve as selection, prediction, and design tools in identifying efficient HPAs for propane oxidation.

Such models may serve as good prediction machines but may provide no insights into the locations of important QTL or their gene actions.

14 Our results support this finding that a risk predictor based primarily on administrative data may be sufficient to serve as risk prediction tools in future studies, especially those examining long-term outcomes.

These density maps can then serve as PPIS prediction features: given query protein P, feature vector v i = < a i 1,…, a in > ∀ i∈ P, where a ij represents the distance-weighted normalized sum of PDM values of atom i with interacting atom type j, and n is the number of interacting atom types (31, based on current works [ 7, 151]).

Our evaluations show that purely structure-based predictions serve as a complement to predictions derived from sequence, and that correct prediction also can be provided when no sequence similarity exists.

In principle, every quantity which can be computed based on the model can serve as a model prediction z.