Sentence examples for problems benefits from inspiring English sources

The expert interviews and the focus group discussions covered usage patterns, problems, benefits, and desired and unwanted features.

Designing algorithms to solve these problems benefits from improved understanding of the nature of the functional relationship between well extraction and streamflow.

Institutions like Ars Electronica have a tremendous opportunityto set a global example by highlighting diverse voices which run counter to the mainstream, and to open public dialogue around the problems, benefits, and tradeoffs new technology is bringing.

To ensure that inertia (or tech phobia) doesn't discourage people from adopting the technologies that really can be valuable to them, communicate the specific problems, benefits, or situations the technology is meant to address.

For example, raising awareness through education, tackling stigma, dealing with stress, bullying, loneliness and isolation; giving help to deal with financial problems, benefits and housing issues, providing postnatal support; helping people to stay in work or education where possible, funding "crisis houses" as an alternative to putting people on wards.

There are many good articles focused on the problems, benefits and future of contenteditable, but it's worth laying out a quick summary of the issue that caused us the most problems when building and maintaining Scribe: the use of HTML as the data model.

Subjects least able to solve the problems benefited significantly from 40 mg of propranolol.

But improve they did, and psychiatrists said it was clear that patients with severe, chronic emotional problems benefited from the steady, frequent, close attention that psychoanalysts provide.

To take full advantage of crowd-powered innovation, you need to understand what kinds of problems benefit most from open innovation and why.

Agent-based control structures provide flexible and emergent solutions to complex nonlinear problems benefiting from properties such as modularity, adaptability, scalability and robustness.

Can Computer Vision Problems Benefit from Structured Hierarchical Classification?