METHODS: Canalplasty or meatoplasty was performed under general anesthesia via the posterior auricular transcanal approach. The EAC diameter and length were measured and a non-fenestrated uncuffed TT of suitable size was fitted into the ear canal. The TT was then modified during fitting, to fit onto the concha. Patients were advised on the importance of compliance. The adequacy of the size of the EAC after the surgery was assessed during follow-ups.
RESULTS: A total of 3 patients (4 ears) were included in our study. Various sizes of TTs were fitted into their EAC following canalplasty or meatoplasty. All of them showed excellent postoperative outcome on follow up 2 years after the surgery, with no evidence of postoperative EAC stenosis.
CONCLUSION: Modified TT stent after canalplasty or meatoplasty is proposed as an excellent alternative in preventing restenosis of EAC in centers with limited resources.
RESULTS: We demonstrate a method using a web-based tool to construct a deep learning model and later export the model for deployment. We train the model by using breeding substrate images with different spectra of illumination on known densities of larvae and evaluate the training model in both the test set and field-collected samples. In general, the model was able to predict the larval abundance by the laboratory-prepared breeding substrate with 87.56% to 94.10% accuracy, precision, recall, and F-score on the unseen test set, and white and green illumination performed significantly higher compared to other illuminations. For field samples, the model was able to obtain at least 70% correct predictions by using white and infrared illumination.
CONCLUSION: Larval abundance can be monitored with computer vision and deep learning, and the monitoring can be improved by using more biochemistry parameters as the predictors and examples of field samples included building a more robust model. © 2021 Society of Chemical Industry.
DESIGN: A cross-sectional questionnaire-based study.
METHODS: Conducted between April 2016 and October 2017, the Maslach Burnout Inventory, Intention to Leave Scale, and Nursing Stress Scale collected data from acute care hospital nurses in Canada (n = 309), Japan (n = 319), Malaysia (n = 242), Thailand (n = 211) and the United States (n = 194).
RESULTS: Compared to other countries, burnout "exhaustion" was the highest in Japan and "cynicism" and intention to leave the job were the highest in Malaysia. Thailand had lower burnouts and turnover than other countries and higher professional efficacy than Japan and Malaysia. In all countries, reducing stressors is important for reducing burnout and intention to leave jobs, especially as they relate to "lack of support."