Sentence examples for fora data from inspiring English sources

Exact(1)

Figure 2 presents distributions for the BBC and the Polish fora data, with the length of the post measured in words, which are more 'human' units.

Similar(59)

Liases Foras collects data from 25 cities in India.

These initiatives, and those of other fora, firmly established data sharing as a priority in the minds of individuals involved, and in particular led to the development of funders' policies in the UK and USA [ 14- 17].

"Residential real estate market in India is very opaque and Laises Foras offers transparency and unbiased data in the market," said Stephen Stout, CEO of dmg Information Asia Pacific.

The DENR could schedule investors' fora and provide appropriate and relevant data to facilitate their decision-making.

For the purpose of reporting the results in this paper, any data collected from online fora, such as usernames and complete URLs for specific threads that were considered personal identifiable, were anonymized.

The website facilitates retrieving FAO documents, searching world literature and provides information on country data, statistics, projects, discussion fora, meetings and links relevant to all aspects of organic agriculture - (http://www.fao.org/organicag).

The first is a very large corpus of data is taken from BBC discussion fora devoted to religion and ethics and to UK/world news.f The comments were in English.

A comment is (in most cases) a self-contained expression of thought or emotion of the author, who is in full control over the length of communication (most of the data in our study comes from electronic fora where there is no limitation on the text length).

Dmgi invested in commercial real estate startup Propstack a month ago, and now it is making a big commitment to Mumbai-based Liases Foras, which is a non-brokerage residential real estate data and analytics company.

Possible alternatives include much wider use of pre-publication archives like arXiv or bioRxiv (Vale, 2015), the replacement of some peer review with vetting by professional editors, shifting towards post-publication commentary fora such as PubPeer, and a shifted emphasis towards depositing primary data and writing fewer, more influential publications.

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