Sentence examples for for additional knowledge. from inspiring English sources

In addition to the further research directions suggested above, there is also potential for additional knowledge synthesis as it relates to informational continuity of care.

Susan C. Anton, an anthropologist at New York University who was a member of the Spoor-Leakey team, said, "My money is still on habilis as the potential ancestor, but there is a lot of room for additional knowledge, given the dearth of fossils".

Embracing his quest for additional knowledge were his instructors, whom Ludwick describes as "some of the most elite design engineers in the industry". Throughout the course and supported by his own hands-on explorations Ludwick developed a comprehensive understanding of controls and automated system design by carefully reviewing case studies and examining the theories of system architecture.

The workshop showed that there is a need for additional knowledge on the subject of amphibians and PPP, and that this topic should be pursued further.

In addition, students spend 4-5 years passing the full-time education process, and after university, they should look for additional knowledge that they will be able to apply in practice.

"Share your lessons learned, memorable experiences, and your quest for additional knowledge, opportunities, and experiences, all of which will serve to better connect you to the Fellows and enhance your ability to get your information through," he advised me. 1. Have a Passion.

Other approaches [33] are based on the possibility of exploiting exogenous factors, such as semantic information derived from additional knowledge on users (for example their affiliations to particular groups, etc).

Those for which additional knowledge is available are constrained to be near their estimated values by using Gaussian penalties with their estimated uncertainties while the others are free to float in the fit.

In particular, systematic uncertainties are modelled by introducing nuisance parameters into the statistical model and allowing them to vary in the fit; those for which additional knowledge is present are constrained using Gaussian distributions.

Social networks not only provide opportunities for receiving additional knowledge, but they also impose constraints on the behavior of many who might otherwise wish to adopt the knowledge.

In this work, we have presented two methods for incorporating additional knowledge to constrain GRN inference by adding priors on the network structure.