ESTIMATION OF 2D PRESSURE AND CAVITATION FIELDS FROM SPARSE PSEUDO-PRESSURE SENSOR POINT DATA USING SUPER-RESOLUTION MACHINE LEARNING

Estimation of 2D pressure and cavitation fields from sparse pseudo-pressure sensor point data using super-resolution machine learning

The two-dimensional pressure field around a hydrofoil is estimated from the pressure values of sparse sensors flush-mounted on the hydrofoil.The sparse data is expanded to pressure field data using a combination of multi-layer perceptron (MLP) and super-resolution convolutional neural network (SRCNN) techniques, where MLP is employed to temporarily

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Development of Cyclic Peptides Targeting the Epidermal Growth Factor Receptor in Mesenchymal Triple-Negative Breast Cancer Subtype

Triple-negative breast cancer (TNBC) is an aggressive malignancy characterized here by the lack of expression of estrogen and progesterone receptors and amplification of human epidermal growth factor receptor 2 (HER2).Being the Epidermal Growth Factor Receptor (EGFR) highly expressed in mesenchymal TNBC and correlated with aggressive growth behavio

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