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      Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks

      , ,
      Computational Mechanics
      Springer Science and Business Media LLC

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          Is Open Access

          Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

          Signaling through the Ror2 receptor tyrosine kinase promotes invadopodia formation for tumor invasion. Here, we identify intraflagellar transport 20 (IFT20) as a new target of this signaling in tumors that lack primary cilia, and find that IFT20 mediates the ability of Ror2 signaling to induce the invasiveness of these tumors. We also find that IFT20 regulates the nucleation of Golgi-derived microtubules by affecting the GM130-AKAP450 complex, which promotes Golgi ribbon formation in achieving polarized secretion for cell migration and invasion. Furthermore, IFT20 promotes the efficiency of transport through the Golgi complex. These findings shed new insights into how Ror2 signaling promotes tumor invasiveness, and also advance the understanding of how Golgi structure and transport can be regulated.
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            Physics-Informed Neural Networks: A Deep Learning Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations

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              A survey of deep neural network architectures and their applications

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                Author and article information

                Journal
                Computational Mechanics
                Comput Mech
                Springer Science and Business Media LLC
                0178-7675
                1432-0924
                February 2021
                January 06 2021
                February 2021
                : 67
                : 2
                : 619-635
                Article
                10.1007/s00466-020-01952-9
                f9e149d8-162f-4c2d-a69b-0cf6f76a6e5c
                © 2021

                http://www.springer.com/tdm

                http://www.springer.com/tdm

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