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The ANOVAs revealed a group (IBMT vs. RT) × session (pre-training vs. post-training) interaction effect [F 1, 37) = 8.941; p < .01] and a session (pre-training vs. post-training) main effect [F 1, 37) = 11.603; p < .01] for PA.

ANOVAs revealed a group (IBMT vs. RT) × session (pre-training vs. post-training) interaction effect [F 1, 37) = 8.271; p < .01] and a session (pre-training vs. post-training) main effect [F 1, 37) = 8.852; p < .01] for NA.

ANOVAs revealed a group (IBMT vs. RT) × session (pre-training vs. post-training) interaction effect [F 1, 37) = 14.853; p < .01] and a session (pre-training vs. post-training) main effect [F 1, 37) = 36.156; p < .01] for TTCT.

Based on the improved model, a new steel-concrete composite track beam-train interaction system is derived for the dynamic analysis.

Each vehicle of monorail train in the new steel-concrete composite track beam-train interaction system is idealized as a multi-body system with 18 degrees of freedom.

The governing vibration equations of the new monorail steel-concrete composite track beam-train interaction system are derived based on Lagrange's formulation.

An interesting feature is that the graphic curves which reflect the dynamic responses of the steel-concrete composite beam-train interaction system under the influence of the slip can be divided into two regions (fluctuating area and smooth area), and there is an obvious critical value (0.8 × 106 N/m) between the two regions.

Fig. 4 Trained interaction models.

To learn a prediction model for assessing protein interaction reliability, we first prepared training interaction pairs which are labeled with a target class, as described in Sect.

No speed by training interaction was observed.

No speed by training interaction was present.

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