Sentence examples for platforms might have from inspiring English sources

For the moment, it's unclear what impact these new platforms might have on career decisions such as hiring, tenure, and invitations to participate in other career development opportunities.

While competing VR platforms might have the same games as Oculus, they likely won't get the preferred access to Facebook's social graph and social VR features.

Indeed, look back over the last few years' news about fake news, and social media platforms have demonstrably sought to play down the idea that the content distributed via their platforms might have had any sort of quantifiable impact on the democratic process at all.

The platforms might have all the data, but publishers still create all the content, and content is a very powerful signal of what an audience wants.

But some users, getting their information via digital platforms, might have read that Paddock was a far-left activist who committed the shooting out of hatred for Donald Trump.

The apparently low overlap of CNVs detected by the different platforms might have several different causes.

That approach measures one cell at a time, so the new magnetic platform might have advantages for scaling up the process, Grover says.

The Windows Phone platform might have a relatively small following now, but there are two things to remember when it comes to WP7 fans: 1) they are just as intense about Windows Phone as Apple fanbois and Android loyalists are over their respective platforms, and 2) the WP7 pack is growing by the minute.

Culver and Rose will be hoping that the interest in Pownce hasn't declined to a state where 3rd party developers will not be interested in building for Pownce: it's really the only thing the platform might have left to arrest its continued slide of user interest.

The comparison and integration across various omics datasets is easier if the depth of coverage is similar; however, each platform might have biases or issues with sensitivity that preclude a uniform depth.

In their study, suboptimal data normalisation and readout from a different microarray platform might have contributed to the finding that all prognostic signatures failed to discriminate good vs poor outcome in the HER-2-positive cluster.