During analysis, the frequency of pouncing, pinning, chasing, and boxing behaviors were scored for each individual and the total time engaged in play was scored for each pair (n = 6 males and 6 females from three different litters).
Algorithmic filtering is nice in theory, but such black-box behavior is simply unpredictable for the user.
A strategy is proposed toward a conceptual framework in which sensitivity is qualitatively intended as a feature of a black box behavior and quantitatively is defined according to specific evaluation types (interval/ratio, ordinal, nominal) for both deterministic and stochastic behaviors.
Non-parametric statistics (Kruskal-Wallis and Mann-Whitney test) were used to analyse the light/dark box behavior.
To determine whether light dark box behavior in DO mice is responsive to diazepam, mice were injected with the drug 30-min prior to light dark box testing.
Motivation: In the field of biomolecular text mining, black box behavior of machine learning systems currently limits understanding of the true nature of the predictions.
This allows us to build more accurate classifiers while at the same time bridging the gap between the black box behavior and the end-user who has to interpret the results.
If you have a litter box with a cover, take the cover off so you can observe her litter box behavior.
Finally, many bulkheads, grillages and decks, together constitute a complete hollow box whose behavior as a box girder may be assessed.
In the light dark box, animals were initially placed on the light side of box and behavior was assessed across 10 min. In the elevated plus maze, animals were initially placed at the center of the maze and behavior was assessed across 10 min. Ethovision software was used to analyze time spent, entries, and velocities for each anxiety test.
