Satisfaction or Distraction: Exposure to Nonpreferred Music May Alter the Learning Curve for Surgical Trainees

Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions

The aim is to improve the teaching quality of music majors and cultivate their innovative ability. This article takes Vocal Music Education (VME) method as the research object to explore the teaching reform of Music Major courses. Firstly, this article makes an in-depth study on Big Data Analytics (BDA) and Digital Twins (DTs) technology and constructs a DTs platform connecting real teaching space and virtual teaching space. Secondly, the DTs platform is divided into online learning feature analysis and virtual-real teaching space integration functional modules. This article explores the online immersive education process design and technology application of the DTs platform from the two aspects of teaching and technology. Afterward, it designs a student action and expression recognition network based on the Visual Geometry Group (VGG) Net model and Google Net model in teaching data collection and management. Finally, the proposed system is tested. The test results show that the active and passive interaction curves of the traditional VME system have no obvious fluctuation, indicating that the interaction of the traditional VME system is not strong, and the ability of active feedback information is poor. By contrast, the active and passive interaction curves in the proposed VME have large fluctuations, showing that the proposed VME has more frequent interaction, and the teaching information can get real-time and active feedback. Therefore, the proposed VME system can better stimulate students' learning desire. Meanwhile, the constructed Neural Network (NN) has the highest recognition accuracy of 99.07% on the student action and expression dataset. When tested with the image data taken by the research experiment, the highest accuracy is 89%, with an average of more than 85%. The proposed VME system provides ideas for applying DTs technology in the college of music education.

Influence of musical preferences and intraoperative questions on suturing speed

OBJECTIVE

To determine the effect of music and surgeon-directed questions on suturing speed.

STUDY DESIGN

Randomized observational study.

SAMPLE POPULATION

Fifty-five faculty veterinarians, residents, interns, and fourth-year veterinary students.

METHODS

Experience, gender, and favorable and unfavorable music choices were self-declared by participants. Each person performed four timed suture trials, which required them to complete a simple 10 cm continuous suture pattern on a model. The initial trial served as practice and did not include music or questions. The order of the three remaining trials was randomized, and consisted of one trial each with favorable music, unfavorable music, and required the participant to answer 2 questions. Trial duration was compared using a mixed effects linear model. Influence of gender and experience on participants' categorical responses to 2 different questions was evaluated using a Pearson χ2 test and Fisher's exact test, respectively. Stratified analysis was used to evaluate further the effect of experience and gender.

RESULTS

Question trials were on average 8.1 s longer than favorable music trials (P = .008), with no notable difference found between unfavorable and favorable music or unfavorable music and question trials. Experience (P = .021) and gender (P = .033) influenced participants' response to question 1 but not question 2 (P = .267 and P = .839, respectively).

CONCLUSION

Listening to favorable music, rather than answering questions, may result in decreased closure times. This influence was greater for less experienced individuals and less experienced male veterinarians and veterinary students.

CLINICAL SIGNIFICANCE

The absence of questions may increase suturing speed, particularly for minimally experienced surgeons or when instruction is taking place in a surgical laboratory setting.