The phrase "a standard rule" is correct and usable in written English.
It can be used to refer to a commonly accepted guideline or principle that is typically followed in a particular context.
Example: "In our organization, a standard rule is that all employees must submit their reports by Friday."
Alternatives: "a common guideline" or "a typical principle".
Then, these repositories could provide a standard Web service interface for retrieving these resources in a standardized format (e.g., genetic risk assessment algorithms implemented in a standard rule expression format such as GELLO [ 41] or the Arden Syntax [ 42]).
He is very probably the only non-professional who has played in big-league games: The Pirates and the Senators have slipped him into their lineup for exhibition games, and it's a standard rule with Los Angeles Angels and the Hollywood Stars that Ruby shall play the last two innings of the final game of the season.
As a standard rule of thumb, if the $10-a-barrel 10-a-barrel 10-a-barrelf oincreaseover the past year in susthened, then it will increase inflation in rich economies by half a price, and knofk a quarter poilt off GDP growth thiseenar.
"Obstruction is a standard rule in the game.
There is a standard rule to regulate it".
A standard rule of thumb is to reject the null hypothesis if the F statistic is at least 10 (van Ours and Stoeldraijer 2011).
In one example, a sentence written in Arabic meaning "The White House confirmed the existence of a new bin Laden tape" was translated using a standard rule-based translator and became "Alpine white new presence tape registered for coffee confirms Laden".
This methodology is based on the procedure (where thermal and hygrometry parameters are concerned) proposed by an Italian standard rule.
And also conditions Skype users to think of privacy as an exception, rather than the standard rule.
The numbers in bold indicate the factors which met the standard rule of an eigenvalue of 1 or higher.
As is evident from Table 4, two eigenvalues meet the standard rule of an eigenvalue higher than or equal to 1.
