Sentence examples for volumes of potential from inspiring English sources
The allure of China's market is obvious: the huge volumes of potential sales mean even products with the most modest of margins can earn lots of money.
However, they also indicate that, for low probabilities of failure, the volumes of potential slides can be small.
Geological and geomorphological conditions (e.g., material type, strength and structure, and slope angle) predispose slopes to failure; knowledge of these conditions can help to predict the location, types, and volumes of potential failures.
Optimization of such a complex system requires strategies that efficiently discover solutions in extremely large volumes of potential experimental space.
To investigate the putative oxysterol binding site in the Smo CRD, we calculated the volumes of potential binding pockets in our zSmo CRD structure.
It has bought six businesses for a total of £80m so far this year, and said there was a good volume of potential acquisitions at attractive prices.
The resulting volume of potential cases, Banks said, is substantial but manageable by a handful of rotating reviewers working to decide whether to promote potential cases to likely cases warranting follow-up.
Eventually the heads, the substance combinations and their toxicological effects, become innumerable, lessening the likelihood of scientists getting a handle on understanding how the drugs work in real-world human systems due to the sheer volume of potential combinations residing in packages sold.
Despite the tremendous volume of potential water stored as ice, Antarctica must be considered one of the world's great deserts; the average precipitation (water equivalent) is only about 2 inches (50 mm) per year over the polar plateau, though considerably more, perhaps 10 times as much, falls in the coastal belt.
"The default rates seem unsustainably low, at the same time the volume of potential candidates has never been higher, says Mark Sunshine, CFO of financial services firm First Capital.
"We use machine learning to help predict things that might be more likely to be false news, to help prioritize material we send to fact-checkers (given the large volume of potential material)," a spokesperson from Facebook confirmed.
