Sentence examples for nominal funding from inspiring English sources

Resources and incentives provided by the research centers to the CJ and community providers varied across centers, but included opportunity and nominal funding for education (continuing education units), improvements in delivery of services, and development of an implementation process that could be used after the research was completed.

Equally disheartening, the FDA has received nothing more than nominal funding increases for implementation of rules growing out of the landmark Food Safety Modernization Act the President signed into law three years ago.

In a recent study, Douglas Massey, Jorge Durand and Karen Pren demonstrate that despite a 20-fold20-foldse inominalal funding for border control in the period between 1986 and 2008, the undocumented migrant population in the US has grown from an estimated three to 12 million people.

Moreover, it was noted that the longer-run downward trend in real interest rates suggested that short-run r* would likely remain below levels that were normal during previous business cycle expansions, and that the longer-run normal level to which the nominal federal funds rate might be expected to converge in the absence of further shocks to the economy..."...

By contrast, until recently Arizona was one of only a few states with a "clean elections" law, under which candidates who had achieved a nominal level of funding would receive funding from the state to match their opponents dollar for dollar.

After deducting the nominal Department of Defense Impact Aid Funds, the uncompensated expenses to the Hawaii public school system remains in the hundreds of millions of dollars every year.

With an annual allocation of just $1 billion after 2012, plus the same 5% nominal return, the fund would stand at almost $50 billion in 2020 and $92 billion in 2030.

They own assets with a positive nominal yield and fund themselves by creating either reserves or currency, which yield next to nothing.

Using linear regression, logistic regression, and the cumulative logit model, the best-fitting models generated by ARL data, NSF data, and the combined data set for both nominal and per capita funding are compared.

In some cases, the change might seem undetectable, e.g. in Belarus where the expenditure share remained almost unchanged in the period from 2001 to 2009, but since the country's GDP rose very rapidly, the amount of funding in nominal terms has also increased.

Even if investment is capped to keep the fund small, nominal growth and additional contributions from existing shareholders eventually make the fund unwieldy.