Sentence examples for face research from inspiring English sources

Some stated that they were more likely to be honest and accurate, as they had more time to think about their answers and were not influenced by the perceived judgment of the researcher, as they had experienced in face to face research.

In an experiment carried out at the university's face research laboratory, 230 men and women were shown four flash cards, each depicting a face with a different expression.

The two diesel blends used in the current study were a commercial grade ultra-low-sulfur diesel (ULSD) #2 reference fuel, ULSD 2, and Fuels for Advanced Combustion Engines (FACE) research diesel, FD9A.

This "face research," which I actually tried out, is based on rating faces according to degrees of attractiveness (with attractiveness measured as both masculine and feminine).

Even though researchers (particularly those conducting face-to-face research) may view their role as highly transient and largely inconsequential in the life of her/his subject, adolescent participants are likely to view researchers as also in a therapeutic role, if only temporarily, because of the personal and sensitive nature of the topic.

In face-to-face research, which may even include multiple meetings with a particular research participant, some researchers argue that it is imperative that a competent imminent risk assessment is completed, paying particular attention to "red flag" warnings of suicidal ideation and behavior as well as NSSI.

The potential conflicts facing research analysts have received substantial attention from regulators.

Perhaps the biggest challenge facing research in this area is to try to link, and draw on the relative merits of, the trauma and inner speech models.

Not only do babies gaze longer at more comely adult faces, research tells us, but parents may gaze longer at more comely babies.

Yesterday, analysis published by CaSE showed that the shortfall facing research capital following the 2010 spending review had been reduced from £1.7bn to just over £300m following a string of additional commitments.

Down the line the hope is this face-to-face research will feed into building a recommendation engine that can automate the support via relevant in-app suggestions — and allow the team to scale.