Sentence examples for predictions assuming an from inspiring English sources

The trends in the E layer (decrease of h′E and increase of foE) and in the F1 layer (increase of foF1) are in general agreement with model predictions assuming an increasing atmospheric greenhouse effect.

However, because WoLF PSORT uses homology to known proteins, and some C. reinhardtii proteins may be closer to those in animals than plants [ 10], the predictions assuming an animal lineage provide alternative assignments, particularly for cases where ambiguous predictions are made for the proteins assuming plant origins.

The difference between the prediction, assuming a lossless transfer, and the measured value is below 10%.

Although Fisher's (1958) fundamental theory of natural selection predicts that the heritability of fitness itself should be zero, this prediction assumes a population at equilibrium in a stable environment and with no mutational input.

HSBC Securities is forecasting a gain of 25,000 jobs Friday, following the loss of 60,000 jobs in January, but that prediction assumes a relatively small weather-related distortion, Wang wrote, since the severity appears to be lesser than prior storms that had the biggest effects on payrolls.

The thermal contact resistance of the polymer air steel interface were in reasonable agreement with predictions assuming heat transfer across an air gap based on thermal conduction through air.

2) errint: employed to compute and analyze error intervals for a particular model predictions assuming different distributions for noise in the data.  .

errint: employed to compute and analyze error intervals for a particular model predictions assuming different distributions for noise in the data.

Since it may not be recommendable to use non-calibrated mixed-effects models, i.e., their conditional predictions assuming that random parameters are zero, all models were also fitted as fixed-effects model (Tables 4 and 5).

From single AUD and VIS presentations, we were able to calculate sensitivity predictions, assuming different levels of summation, for all other stimulus presentation conditions.

A more comprehensive way to introduce these predictions is assuming a trade-off between traits positively correlated to body size and traits negatively correlated to body size.