Sentence examples for use of proprietary data from inspiring English sources

During the court proceedings, Levandowski exercised his Fifth Amendment rights to avoid providing testimony or handing over evidence regarding his use of proprietary data from his time at Google.

In addition, scientific journals are challenged with formulating, implementing, and enforcing commonly accepted data deposition guidelines and addressing problems associated with the use of proprietary data.

Another example of the scientific use of proprietary data for the development of an in silico prediction tool is the development of the "decision support system" for skin irritation and corrosion.

However, studies using proprietary algorithms that are not disclosed (for example, algorithms developed by software companies) should not merit publication, similar to the use of proprietary data for modeling.

But proprietary assets still abound — more often today in the form of proprietary data.

The major concern with the manuscript is the use of proprietary software, and data formats, in the study, which makes it difficult for users to probe the resultant docked structures.

A higher score is better and this has been added to the results section The major concern with the manuscript is the use of proprietary software, and data formats, in the study, which makes it difficult for users to probe the resultant docked structures.

Paid for This is a proprietary piece of software that can be purchased, which may use proprietary data formats.

The different licensing categories and associated considerations are as follows: Paid for This is a proprietary piece of software that can be purchased, which may use proprietary data formats.

The arterial pressure waveform was recorded online on a laptop computer at a sampling rate of 300 Hz using proprietary data acquisition software (S/5 Collect software, version 4.0; Datex-Ohmeda, Helsinki, Finland) and converted to ASCII files for post hoc offline analysis (QtiPlot software, version 0.9.7.13; ProIndep Serv, Craiova, Romania).

Accurate characterization of parameters that influence indoor environments is often limited to the use of proprietary hardware and software, which can adversely affect costs, flexibility, and data integration.