Instructor-learner body coupling reflects instruction and learning.

It is widely accepted that nonverbal communication is crucial for learning, but the exact functions of interpersonal coordination between instructors and learners remain unclear. Specifically, it is unknown what role instructional approaches play in the coupling of physical motion between instructors and learners, and crucially, how such instruction-mediated Body-to-Body Coupling (BtBC) might affect learning. We used a video-based, computer-vision Motion Energy Analysis (MEA) to quantify BtBC between learners and instructors who used two different instructional approaches to teach psychological concepts.

Examples facilitate divergent thinking: The effects of timing and quality.

The study investigated the effects of examples' timing and quality on divergent thinking (DT). In study 1, participants received two novel or common examples in the early or late stage of the realistic presented problem task. Results revealed higher fluency and flexibility in the late stage than that in the early stage.

Instructor-learner brain coupling discriminates between instructional approaches and predicts learning.

The neural mechanisms that support naturalistic learning via effective pedagogical approaches remain elusive. Here we used functional near-infrared spectroscopy to measure brain activity from instructor-learner dyads simultaneously during dynamic conceptual learning. Results revealed that brain-to-brain coupling was correlated with learning outcomes, and, crucially, appeared to be driven by specific scaffolding behaviors on the part of the instructors (e.

Post-marketing safety surveillance and reevaluation of Motherwort injection: A clinical study of 10 094 cases.

Objective: To investigate the safety profiles of Motherwort injection (MI).

Methods: A multi-center, prospective and drug- derived hospital intensive monitoring method was conducted to assess the safety of MI in real world applications. This study was based on a very large population after the injection was approved and marketed in China.

[Speaker gender identification based on audio fractal dimension and pitch feature].

Automatic speaker gender identification based on voice feature is an important task in voice processing and analysis fields. In this paper non-linear parameters such as fractal dimension are applied to be one part of feature space for improving the ability of describing speaker gender feature through conventional linear parameters method. Pitch is picked using lifting scheme, and audio fractal dimension is extracted.

[A research in speech endpoint detection based on boxes-coupling generalization dimension].

In this paper, a new calculating method of generalized dimension, based on boxes-coupling principle, is proposed to overcome the edge effects and to improve the capability of the speech endpoint detection which is based on the original calculating method of generalized dimension. This new method has been applied to speech endpoint detection. Firstly, the length of overlapping border was determined, and through calculating the generalized dimension by covering the speech signal with overlapped boxes, three-dimension feature vectors including the box dimension, the information dimension and the correlation dimension were obtained.