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of biomarkers (glucose, uric acid, and lactic acid), using flexible polymeric substrates and surface modification with metal oxides synthesized via CO2 laser. Sensors will be coupled with a miniaturized NFC
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incorporating local constraints (stress, displacement, temperature) via the Augmented Lagrangian method and global compliance constraints, applying coupled thermomechanical simulations to predict performance in
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planets, and trans-Neptunian objects in retrograde motion. Traditional orbital dynamics methods will be combined with machine learning techniques, such as convolutional neural networks and Vision
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