The phrase "a given phone" is correct and usable in written English.
It can be used when referring to a specific phone that has been previously mentioned or is understood in the context.
Example: "In this study, we will analyze the features of a given phone to determine its market viability."
Alternatives: "a specific phone" or "an assigned phone".
And once a given phone does not yield a profit, phone companies often eliminate it.
And after a card is enrolled on a given phone, the risk of misuse is vastly reduced.
The principle of bi-uniqueness was also held to imply that, if a given phone was assigned to a particular phoneme in one position of occurrence, then it must be assigned to the same phoneme in all its other positions of occurrence; it could not be the allophone of one phoneme in one context and of another phoneme in other contexts.
The problem is that the results of such "fat-finger errors" are often not reproducible: iPhones, Android phones and other smartphones learn from the patterns of individual users so that suggested replacements are tailored to the history of a given phone, with a focus on recent and frequently used words.
Because in its excitement to demonstrate the ability to locate a given phone, the company appeared to forget to secure the API by which it did so, Brian Krebs reports.
Gelertner, who was no foe of wiretapping in the cause of justice, wrote: "In the old days, all conversations associated with a given phone number were funneled through one physical pathway, and by spying on that pathway you could hear it all.
Heavy Internet users often install a phone line specifically for computer connections, giving phone companies a new source of profit.
While dressed as a nun, she was portrayed giving phone sex tips to the romantically challenged character of Maggie.
Ultimately, giving phones a 'second life' is a win-win for Sprint, our customers and the environment".
"Having worked in a phone company, I think it's a given [that the phones were designed that far back].
The fuzzy rules generated outperform neural network models in predicting the product images of a mobile phone with a given set of form elements.
