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Effectiveness of the combination of workshops and flipped classroom model to improve tube fixation training for nursing students
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作者 Yu-Cui Wang Hui-lin Cheng +2 位作者 Yu-Mei Deng bao-qi li Xue-Zhen Zhou 《World Journal of Clinical Cases》 SCIE 2022年第8期2447-2456,共10页
BACKGROUND Tube indwelling is a key procedure in modern medicine.Careful tube setup is necessary to prevent unplanned extubation.The training for tube fixation is timeand resource-consuming,and optimal modes of traini... BACKGROUND Tube indwelling is a key procedure in modern medicine.Careful tube setup is necessary to prevent unplanned extubation.The training for tube fixation is timeand resource-consuming,and optimal modes of training are currently being sought.Previous studies have compared workshops and flipped classroom models separately using conventional teaching strategies,but no study has examined a combination of both teaching models in nursing training.AIM To compare the effectiveness of workshops vs workshops combined with the flipped classroom model for improving tube fixation training for nursing students.METHODS This was a prospective cohort study.In this study,149 nurses who joined our hospital in 2019 underwent training using workshops combined with the flipped classroom model(experimental group),while 159 nurses who joined the hospital in 2018 received only workshop-based training(control group).The combination of workshops with the flipped classroom training model was divided into two modules:pre-class and in-class training.The participation of nurses in the training activities,onsite assessment of training,nurses’evaluation of their training,and related indicators of tube quality management were evaluated.RESULTS The average age of nurses in the control group was 22.94±0.94 years and that of nurses in the experimental group was 25.42±3.23 years(P<0.01).The qualified rate of after-class assessments for the experimental and control groups was 100.00%(average score:94.01±2.78 points)and 91.82%(average score:84.24±2.94 points),respectively(P<0.01).Most nurses in the experimental group completely agreed that the combined training was helpful to cultivate clinical thinking and independent learning ability and to master knowledge of tube fixation.In addition,the training content within the pre-class teaching video,pre-class tube atlas,pre-class main instructor guidance,in-class demonstration,and in-class practice was very informative.The experimental group had higher evaluation scores than the control group(4.88±0.38 vs 4.67±0.64;P<0.01).Comparison of tube quality management before and after training in 2018 to 2019 revealed that the unplanned ureteral tube removal rate dropped from 0.25‰to 0.06‰,the unplanned chest tube removal rate dropped from 1.07‰to 0.78‰,and the unplanned gastric tube removal rate dropped from 0.36‰to 0.17‰.The incidence rate of pressure ulcers caused by the tube decreased from 0.78‰to 0.45‰.CONCLUSION The combination of workshop and flipped classroom training is effective in improving tube fixation training of nurses,cultivating nurses’active learning abilities and clinical thinking,and improving the safety of the procedure. 展开更多
关键词 Flipped classroom teaching NURSING Tube fixation WORKSHOP
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Dolphin Vocal Sound Generation via Deep WaveGAN 被引量:1
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作者 Lue Zhang Hai-Ning Huang +5 位作者 li Yin bao-qi li Di Wu Hao-Ran liu Xi-Feng li Yong-Le Xie 《Journal of Electronic Science and Technology》 CAS CSCD 2022年第3期282-293,共12页
The marine biological sonar system evolved in the struggle of nature is far superior to the current artificial sonar. Therefore, the development of bionic underwater concealed detection is of great strategic significa... The marine biological sonar system evolved in the struggle of nature is far superior to the current artificial sonar. Therefore, the development of bionic underwater concealed detection is of great strategic significance to the military and economy. In this paper, a generative adversarial network(GAN) is trained based on the dolphin vocal sound dataset we constructed, which can achieve unsupervised generation of dolphin vocal sounds with global consistency. Through the analysis of the generated audio samples and the real audio samples in the time domain and the frequency domain, it can be proven that the generated audio samples are close to the real audio samples,which meets the requirements of bionic underwater concealed detection. 展开更多
关键词 Bionic underwater concealed detection DOLPHIN generative adversarial network(GAN) wave generative adversarial network(WaveGAN)
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