Sentence examples for influence predicting from inspiring English sources

Formula E are confident of their influence, predicting additional sales of 77m EVs by 2040 (pdf).

He had singled out television as an especially pernicious influence, predicting the rise and power of a type such as media-mogul-turned-prime minister Silvio Berlusconi long before time.

More specific still, he had written a series of columns for Corriere della Sera denouncing the leadership of the ruling Christian Democratic party as riddled with Mafia influence, predicting the so-called Tangentopoli – "kickback city" – scandals 15 years later, whereby an entire political class was put under arrest during the early 1990s.

Specifically, because subject-specific measures of water intake or renal clearance were not used in our prediction models, these factors cannot influence predicted serum PFOA concentrations.

Firstly, the relationship model between radar resource and tracking accuracy is built, and the sampling interval, power, and waveform will influence predicted error covariance matrix through transition matrix and measurement noise.

Modelling assumptions influence predicted cellular origin of lactate and the direction of lactate shuttling.

However, for some members in this chemical class, inherent physicochemical variables can influence predicted and experimental agreement because these variables also affect adduct-forming reaction rates.

Therefore, it is not often clear whether published mapping algorithms intend users to extrapolate to any patient population and how factors such as timing of measurements or presence of differential treatment effects influence predicted values.

Furthermore, the influence predicts well the activity of a TF in samples in which it was activated at the protein level by a chemical agonist (details in Supplementary Information).

These influences predict that breast cancer bone metastases will differ in their gene-expression profiles from primary breast tumors.

Also, we showed that patient-specific miRNA influences predicted using miRTI are better prognostic biomarkers compared with binary, non-weighted miRNA-target interactions.