Sentence examples for test for recognition from inspiring English sources

To test for recognition behavior, we made video recordings of the focal crayfish in the central arena which was divided for scoring using boundary markers, into three equal, imaginary areas: a central zone and two end zones (Fig. 1b).

Of note is the fact that wherever we were able to map epitopes and test for recognition of clade variants, we routinely found broad recognition of most of the major variants.

An alternative is to use MAP specific epitopes and test for recognition of these in polyclonal T cell lines derived from intestinal biopsies of patients carrying the relevant HLA class II restriction element.

– A test for recognition of the facial gender: likewise, photographs of the faces of the 2 sexes (males and women) were morphed with a face depicting "no sex" to create a continuum.

– A test for recognition of facial emotional expression: static colour photographic images of 4 facial emotional expressions (happiness, fear, anger and disgust) were morphed with neutral faces to create an expression continuum.

In a benchmark test for recognition of scop domains from a set of full-length multi-domain proteins, we show that writher is able to identify local structural similarities substantially more effectively than existing filter methods.

A central composite design in conjunction with a response surface methodology according to f-test and t-test for recognition and judgment about significant term led to construction of quadratic model which represent relation among responses and effective terms.

Mice were immunized with H56 cDNA using dermal DNA tattoo immunization and epitope candidates were tested for recognition by responding CD8+ T cells in ex vivo assays.

To characterize the immune response, the serum IgG antibody response was tested during one year against both antigens, and the serum and vaginal secretions were tested for recognition of linear epitopes of HBcAg for both HBcAg variants.

Participants viewed lists of related words, then stayed awake or slept for approximately 90 min, and were then tested for recognition of previously seen-old, unseen-new, or unseen-lure words presented either to the LH or RH.

To find the optimum number of mixtures for GMM classification and the optimum number of training iterations the influence of using one to eight mixtures was investigated for classification of four emotional speech styles and the influence of one to four mixtures was tested for recognition between male and female genders.