Sentence examples for explicitly removed from inspiring English sources

Exact(15)

The United States explicitly removed online betting from the services agreement after losing a W.T.O.

Today's report finds that 164 statements were significantly amended – and 116 explicitly removed negative comments about the policing operation – including its lack of leadership.

In Western Australia laws imposing mandatory sentencing and jail for fine defaulters were strengthened by the current government, and Queensland explicitly removed the principle that detention should be the option of last resort for children.

The panel found that 164 police statements were significantly amended and 116 explicitly removed negative comments about the policing operation, including its lack of leadership, a revelation that drew gasps when relayed by Cameron in parliament.

Also, in order to deal with partial matching, the partial PMHD was defined, which explicitly removed outlier using the outlier detection function.

However, artifacts that span relatively small noise subspaces, such as cardiac, ocular, and muscle artifacts, are often explicitly removed by a variety of denoising methods (e.g., signal space projection) before source imaging.

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Similar(43)

The report explicitly removes the excuse of ignorance for those who misunderstood the tragedy.

Our caches are so full that we are evicting things out of them pretty much constantly - and we're a news organization, so we're also explicitly removing out-of-date content with almost equal frequency.

Schema3 explicitly removes as much of the content model as possible.

Microsoft does not explicitly remove potentially malicious sites from its index, he writes, "because most are legitimate sites that normally don't host malware but have been hacked".

iMLR has the advantage of explicitly removing "poor" predictor variables from a model, whereas other dimensionality reduction methods leave them as part of the model, either minimized or combined with other (e.g. latent) variables but nonetheless increasing the variance of the model fit.

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