Adaptive control of solar light based on an optical switching strategy is essential to tune thermal gain, while real-time solar regulation and hence on-demand thermal management coupled with dynamic conditions still faces a formidable challenge. Herein, we develop a stacking structure which is mechanosensitive and can be finely tuned depending on the dynamic cavitation effect. Specifically, the stacking structure transfers from a solid monolith state to porous layered state progressively under mechanical stretching, and the resulting porous layered state gradually goes back to the solid monolith state once the load is released.
View Article and Find Full Text PDFNatural disasters cause significant losses. Unmanned aerial vehicles (UAVs) are valuable in rescue missions but need to offload tasks to edge servers due to their limited computing power and battery life. This study proposes a task offloading decision algorithm called the multi-agent deep deterministic policy gradient with cooperation and experience replay (CER-MADDPG), which is based on multi-agent reinforcement learning for UAV computation offloading.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
AI-based breast cancer detection can improve the sensitivity and specificity of detection, especially for small lesions, which has clinical value in realizing early detection and treatment so as to reduce mortality. The two-stage detection network performs well; however, it adopts an imprecise ROI during classification, which can easily include surrounding tumor tissues. Additionally, fuzzy noise is a significant contributor to false positives.
View Article and Find Full Text PDFDue to imbalanced demand favoring egg whites, the egg industry faces a surplus of egg yolk, limiting overall growth. This study designed a feasible process for the crude extraction of livetins and phosvitin (PV) and revealed the related separation mechanisms. Our method utilized a 1:9 egg yolk dilution at pH 6.
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