Sentence examples for mitigated over from inspiring English sources

What we've seen is merely the result of informal play and a lack of nuanced chemistry, two factors that are naturally mitigated over the course of the Olympics.

The California Air Resources Board estimates the changes would add $1,047 to the cost of a vehicle by 2015, though additional upfront costs would be mitigated over time at the gas pump.

Some of the overall costs to the economy might be mitigated over the medium term by increased trading opportunities with nations outside the EU.

Whatever advantage Qualcomm had by being first to market with new technologies has been repeatedly mitigated over time by competitors such as Intel, MediaTek, Samsung, and HiSilicon.

Intel downplayed the performance hit: "Contrary to some reports, any performance impacts are workload-dependent, and, for the average computer user, should not be significant and will be mitigated over time," the statement read.

"Contrary to some reports, any performance impacts are workload-dependent, and, for the average computer user, should not be significant and will be mitigated over time," the company said.

The results suggest that strategies and policies are needed to strengthen adaptive capacity of communities to mitigate over-arching poverty and well-being issues, as well as respond to changes in climate.

The most successful aid programs I have seen are the ones that recognize that development is never just an economic process, and that financial aid has profound social consequences ��� programs that have directed aid to farmers as well as fishermen, for example, or that have sought to mitigate over-fishing by training villagers for new professions.

Policy support for a wider range of livelihood options will also help overcome the reliance on a narrow range of resources and thereby mitigate over-exploitation of those resources.

In order to mitigate over-enhancement problems, brightness preserving bi-histogram equalization (BBHE) [19], dualistic sub-image histogram equalization (DSIHE) [20], and minimum mean brightness error bi-histogram equalization (MMBEBHE) [21] have been proposed, which partition a histogram before applying the HE.

This procedure should mitigate over-fitting by finding models that fit the data well in unobserved samples and avoiding models that fit the training set well but only predict around the expectation of the null [22], [23], [35], [36].