Sentence examples for left observation from inspiring English sources

Whatever was on then-Private Bowe Bergdahl's mind on June 30 , 2009when he left Observation Post Mest Malak in southeastern Afghanistan and wondered off unarmed toward the Pakistan border has little bearing on his subsequent status as a prisoner of war.

The average difference between the number of patients in Germany who had initiated ART and those who had left observation because of emigration or death was estimated to be an average of 2,900 persons per year.> We estimated the number of people living with HIV who received ART based on SHI prescription data and on ART history data from the CSH.

Additional primitives Type of primitive Boundary States Left Observations Right States Right.

This leaves observations of real-life environments, like the finding that American footballers suffer from cramp more when the weather is hot, lending further weight to the idea that, as with the stokers, this is all down to sweat loss and a lack of salt.

Given the failure of any additional nuclear or mtDNA sequence data to support either of the Metaves or Coronaves clades and the clear contradiction from morphology and current taxonomy (e.g., five orders of birds are rendered polyphyletic by FGB-int7), where does this leave observations of convergent evolution in birds?

Leave One Out Cross Validation (LOOCV): Here, one observation is excluded at a time from the training set and the resulting model is evaluated on this left out observation.

Perez testified that he and Durden left the observation post, scaled a 10-foot-high fence around the building, moved the car, then scaled the fence again and returned to the apartment.

At the time Bergdahl left his observation post, he was a private first class or PFC, which is near the absolute bottom of the military.

The trained DA fingerprint model is then run on this left out observation and the results are evaluated for classification accuracy.

In LOO CV a model is trained iteratively with all the available observations (rows) but one each time, and a prediction is made as regards the response value of the left out observation.

Then, one observation was taken out from the entire sample, and the remaining subjects used to build the decision tree, which in turn was used to predict the disease status of the left out observation.