Classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) by humans remains challenging. We proposed a highly accessible method to develop a deep learning (DL) model and implement the model for mosquito image classification by using hardware that could regulate the development process. In particular, we constructed a dataset with 4120 images of Aedes mosquitoes that were older than 12 days old and had common morphological features that disappeared, and we illustrated how to set up supervised deep convolutional neural networks (DCNNs) with hyperparameter adjustment. The model application was first conducted by deploying the model externally in real time on three different generations of mosquitoes, and the accuracy was compared with human expert performance. Our results showed that both the learning rate and epochs significantly affected the accuracy, and the best-performing hyperparameters achieved an accuracy of more than 98% at classifying mosquitoes, which showed no significant difference from human-level performance. We demonstrated the feasibility of the method to construct a model with the DCNN when deployed externally on mosquitoes in real time.
PURPOSE:
Internet social media offers a rich source for soliciting the public's views on health issues. This qualitative research, using You-Tube as a platform, aimed to explore the public's perspectives on management of dental fear and anxiety (DFA) in pediatric patients.
METHODS:
Using three keywords ("dental fear," "dental phobia," and "dental anxiety"), YouTube videos were searched. Twenty-seven videos related to DFA in children and adolescents were reviewed by three investigators, including a nondental layperson. Inductive thematic analysis was adopted for interpreting the data.
RESULTS:
Several strategies were considered useful for controlling DFA in pediatric patients, including: verbal and nonverbal communication to establish closeness and effective guidance (explanation, permission-seeking, reassurance, and negotiation); desensitization to dental settings and procedures; tell-show-do; positive reinforcement; distraction by imagination and thoughtful designs of clinic; and parental presence and support. Some self-coping strategies adopted by patients alleviated their DFA, such as self-reasoning and trust-building through long-term connection. Dentists' clinical competence, favorable treatment outcomes, and state-of-the-art devices and technologies (dental lasers, intraoral camera, and adapted anaesthesia method) contributed to reducing DFA.
CONCLUSIONS:
Authentic testimonials in YouTube videos endorsed and interpreted a variety of strategies adoptable by patients, parents, and dental professionals for managing children's and adolescents' dental fears and anxieties.