Sentence examples for aimed at publishing from inspiring English sources
Ms. McCrae also noted that Graywolf is supported by foundation grants specifically aimed at publishing foreign titles.
Three heavyweight, nongovernmental funders of science announced today that they are launching a free online biology journal aimed at publishing the very best papers within a few weeks of submission.
Industrial research was always her first choice, because "[in this setting] you are motivated by the fact that the work you are doing is going to make an actual difference to the company and is not just aimed at publishing papers".
The journal aims at publishing three issues containing about 20 to 25 articles per year.
This movement aims at publishing government data to allow for more transparent and citizen-oriented participation and innovation [23].
Students and supervisors should be encouraged to aim at publishing the degree theses.
The types of meta-data considered in this work are also agreed upon by an effort called the COMBINE archive (18), which aims at publishing extractable archive files that then contain all files necessary to reproduce a scientific modeling result in the life sciences.
François Hollande's anti-corruption crusade aiming at publishing MPs' assets has ended in a watered-down compromise after parliament voted for details of assets to be accessible to voters but not made public.
BioData Mining aims at publishing articles that present new methods for pre-processing, post-processing and validation of data mining algorithms for the analysis of genetic, transcriptomic, genomic, proteomic, and metabolomic data.
BioData Mining aims at publishing articles that design, develop and integrate databases, software and web services for the storage, management and retrieval of complex biological data, with emphasis on open-source software for the application of data mining to the analysis such type of information.
In this sense, BioData Mining aims at publishing articles that not only adapt, evaluate or apply traditional data mining techniques, but also that develop, evaluate or apply novel methods from data mining or machine learning fields to the analysis of complex biological data.
