Sentence examples for impact rules from inspiring English sources

Expectations of distributive and procedural fairness impact rules underlying a crowdsourcing system.

There is no need to a priori supply the rules for the bounce back (impact rules).

D.C. Schools Chancellor Kaya Henderson already relaxed IMPACT rules in July by allowing some teachers who receive two consecutive "minimally effective" scores to keep their jobs -- those teachers would have been dismissed under IMPACT's original provisions, The Washington Post reported.

"If the disparate impact rule is struck down that will definitely set our country back".

In late 2011 John Angel, principal judge at the information rights tribunal, who was tasked with deciding if the duchy should publish information about its environmental impact, ruled it must be considered a separate legal body from the prince because of "the differentiation of the duchy and duke in commercial and tax matters as well as under legislation and the contractual behaviour of the duchy".

More than two dozen cities and states have stepped in to defend the disparate impact rule.

For decades, cities, states and fair housing advocates have used the law's "disparate impact" rule to challenge zoning rules, lending practices and other housing-related policies.

The Obama administration also is backing the disparate impact rule, as are a group of current and former members of Congress who argue that the disparate impact rule was always intended to be a part of the Fair Housing Act and should be upheld as a crucial discrimination-fighting tool.

The IMPACT rule appeared valid when used in this all payer, inpatient only administrative claims database.

Many of the 11 comorbidities of the In-hospital Mortality for PulmonAry embolism using Claims daTa (IMPACT) rule were coded for within the claims data using the validated Agency for Healthcare Research and Quality 29-comorbidity software/schema.

The multivariable IMPACT rule, which includes age and 11 comorbidities, was used to estimate patients' probability of in-hospital mortality and classify them as low or higher risk (≤1.5% deemed low risk).