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After completing 20 TTT surgeries, the surgeon reached the cut-off point of the learning curve. Compared to the learning group, the mastery group demonstrated a significant reduction in the average duration of the surgical procedure (34.88 min vs. 54.20 min, P < 0.05) along with a ...
Surgical Endoscopy (2022) 36:4602–4613 https://doi.org/10.1007/s00464-021-08976-z DYNAMIC MANUSCRIPT and Other Interventional Techniques Learning by doing: an observational study of the learning curve for ultrasonic fundus‑first dissection in elective cholecystectomy My Blohm1,2,...
2b). Both, a significant trial × genotype interaction for successful navigation to the platform and a significant day × genotype interaction for path length, reflect a substantial learning defect i.e. shallow learning curve in DAT-tg rats. Latency to find the platform could not be analysed ...
深度学习实验结果保存与分析是最让我头疼的一件事情,每个实验要保存对应的log,training curve还有生成图片等等,光这些visualization就需要写很多重复的代码。跨设备的话还得把之前实验的记录都给拷到新设备去。 wandb这个库真是深得我心,只要几行代码就可以把每一次实验打包保存在云端,而且提供了自家的可视化接口,不用...
The supervision from outside [i.e. nurse teacher] was pretty good. I have noticed that the [learning] curve has gone up after that meeting [midterm assessment]. (4B) As this quote illustrates, the teacher’s supervision in the meetings influenced the students’ learning at the nursing home...
1e; http://github.com/mueller-lab/EmbryoNet and http://embryonet.uni-konstanz.de). EmbryoNet is proficient, fast and accurate To evaluate EmbryoNet’s performance, we tested its classification speed and accuracy in competition with human assessors. We generated stacks of 98 embryo images, ...
What are the current best practices associated with the assessment of behavior, classroom conditions (e.g., learning environment), and perceptions (e.g., bias from the assessor)? What are the differences between individual and group intelligence tests? What ...
Finally, we reported fifteen Evaluation Metrics [22, 23] including support; accuracy; precision (positive predictive value); recall (true positive rate); false positive rate; false discovery rate; F1 score; Matthew’s correlation coefficient datasets; area under curve (AUC); negative predictive ...
Each frequency histogram has an estimated (Gaussian kernel) density curve overlaid, but the bandwidth is kept constant, and should be considered only a rough estimate. We report findings for ELOM total scores first, followed by findings for individual domains. 4.1 For Learning Outcomes Overall, ...