Sentence examples for generating relevant information from inspiring English sources

Often the availability of information in the developing world is not a major limitation: most countries have adequate research systems generating relevant information.

This method, which has been successfully applied to isolate broadly neutralizing antibodies against SARS and H5N1 influenza viruses, is expected to accelerate the development of therapeutics in the field of infectious diseases not only by providing neutralizing antibodies for passive serotherapy, but also by generating relevant information for vaccine design.

This discussion includes developing novel approaches to generating relevant information and principles on how to combine different tests into integrated test systems and how to manage remaining uncertainties and lack of data (e.g., Schaafsma et al. 2009).

Greater attention is required to collect and generate relevant information at a disaggregated ward/village levels in Nigeria.

It is possible to combine remote sensing data such as normalized difference vegetation index (NDVI) and TEK data to generate relevant information necessary for ecosystem management.

Indeed, "section 215 has generated relevant information in only a small number of cases, and there has been no instance in which NSA could say with confidence that the outcome would have been different without the section 215 telephony meta-data program".

Second, district public health information systems need to generate relevant information for the local planning, management and monitoring of services.

Computer analysis of genome data, and its capacity to rapidly generate relevant information, contributes to a better understanding of the different evolutionary histories, especially within prokaryotes.

To rapidly generate relevant information to guide outbreak response, we set a goal of enrolling 50 case-patients and 100 controls, a sample size that, although limited, was in line with that of previous successful emergency investigations.

This study has therefore evaluated the efficacy and acute toxicity of E. schimperi thereby generating relevant preclinical information.

The core of the method is based on a disassembly precedence diagram generation algorithm that can generate relevant disassembly information having as direct input product files.