Sentence examples for performed discrimination from inspiring English sources

We assessed how 'well' the items performed (discrimination and difficulty) by examining the consistency of response patterns across countries using the full international dataset.

We performed discrimination and calibration analysis according to LN status and method of detection, that is, macrometastasis detected by conventional histologic analysis, and macrometastasis and micrometastases detected by ultrastaging.

In this section, we employ the ten features proposed in [32] and employ the proposed discriminant clustering method using soft labeling strategy to perform discrimination between people with PD and healthy subjects.

This method uses a scale [1…9] that is based on psychological theories and experiments that points to the use of nine unit scales as a reasonable set that allows humans to perform discrimination between preferences for two items.

A strategy to deal with this problem involves a two-stage classifier, in which one stage is designed to perform discrimination between known classes, and the other stage encloses known data to protect against changing conditions.

We show that not only can normal can sheep perform discrimination reversal learning tasks, but they can also perform attentional set shifting tasks that test executive function.

Hence, by reading the efferent firing rate alone, it is impossible to perform discrimination tasks between various input frequencies, for this kind of response pattern.

Perhaps even more striking is the finding that V1 is activated when trained experts in a specific type of tactile stimuli perform discrimination tasks with such stimuli [43].

Significantly, we found that not only could sheep perform discrimination learning and reversals, but they could also perform the intradimensional (ID) and extradimensional (ED) set-shifting tasks that are sensitive tests of cognitive dysfunction in humans.

In addition, the Boxplotter performs discrimination analysis with the data, showing p -values for the statistics and Receiver Operating Characteristic (ROC) curves.

A standard practice in comparative microarray studies is to perform discrimination analysis employing biomarkers - genes manifesting differential expression between contrasting experimental conditions.