Conventional scanned optical coherence tomography (OCT) suffers from the frame rate/resolution tradeoff, whereby increasing image resolution leads to decreases in the maximum achievable frame rate. To overcome this limitation, we propose two variants of machine learning (ML)-based adaptive scanning approaches: one using a ConvLSTM-based sequential prediction model and another leveraging a temporal attention unit (TAU)-based parallel prediction model for scene dynamics prediction. These models are integrated with a kinodynamic path planner based on the clustered traveling salesperson problem to create two versions of ML-based adaptive scanning pipelines.
View Article and Find Full Text PDFBackground: Odorant binding proteins (OBPs) initiate the process of odorant perception. Numerous investigations have demonstrated that OBPs bind a broad variety of chemicals and are more likely to carry pheromones or odor molecules with high binding affinities. However, few studies have investigated its effects on insect behavior.
View Article and Find Full Text PDFCuF and LiBOB were co-introduced into polycarbonate-based polymer electrolytes (PVT-CB) to overcome the trade-offs between ionic conduction and interfacial stability, resulting in improved ionic conductivity (8.4 × 10 S cm) and enhanced electrochemical stability (5.04 V Li/Li).
View Article and Find Full Text PDFBackground: The World Health Organization recommends the use of artemisinin (ART) and its derivatives for malaria treatment. Furthermore, these compounds exhibit encouraging pharmacological effects for the treatment of several diseases. Nevertheless, ongoing antimalarial treatment efforts have been significantly hindered by the emergence of drug resistance.
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