Sentence examples for most salient problem from inspiring English sources

This is crucial because the most salient problem in our institutions is the drying up of credit.

The budget is high by African standards (80-100m nabout– about £326,000); the film stars industry queens Genevieve Nnaji and Joke Silva as well as rising newcomer Joseph Benjamin; it has, in the eyes of director Mahmood Ali-Balogun, "the right production values" – the most salient problem for Nollywood, which likes to build them cheap and quick.

"The most salient problems [in Afghanistan] are attitudinal, cultural and human," he wrote in a January 2010 paper for the Center for a New American Security, at that point the ascendant defense thinktank and a job pipeline into the Obama Pentagon.

As such, qualitative research can offer insight into the most salient problems for this under-studied population.

That study suggested that among survivors' the most salient current psychosocial problems were related to depression while other problems, such as PTSD symptoms, anxiety and traumatic grief, were less so [ 16].

The three networks most closely examined by these scientists include a network for paying attention to what's most salient, a network for problem-solving, and a network for reflecting on one's own past and future.

In short, their study supports the structural validity of our model and decision problem's most salient concerns and so validates in a way the structure of the model presented here through parallelisms.

Are we really focused on the most salient and critical aspects of the problem?

Early on he quotes Harvard Law School professor Mark Roe, in perhaps the most salient passage in the book: “We can resolve the immediate problem, and move on, [but] new problems will arise.

Casual loops provide a visual means of articulating our understanding of the relationship/connections between the most salient variables [ 52, 53] that affect a given behavior or problem.

These challenges include, as in any pattern recognition problem, data acquisition and annotation, feature extraction and finding the most salient features, and building a robust classifier.