Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Rethinking small vessel CTOs: collateral channels as a bridge to subsequent complex intervention-a case report. [PDF]
Su Z, Li J, Yuan W, Wang J, Lin M.
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
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Perceived Paternal Acceptance-Rejection, Self-Perception, and Peer Victimization in Preadolescents with and Without Special Educational Needs. [PDF]
Christou AI +3 more
europepmc +1 more source
Isolated Sternal Metastasis in Head and Neck Squamous Cell Carcinoma: A Report of Two Cases. [PDF]
Basu Biswas S +4 more
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Endoscopic ultrasound‑guided stricturotomy for complete anastomotic occlusion following Hartmann's reversal. [PDF]
Zhong Q +6 more
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Spatial traces of trauma: changes in home perception in young individuals after the twin earthquakes. [PDF]
Şen M, Şen ŞN.
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Copper and cuproptosis-related genes as indictors for the diagnosis of injury time in traumatic brain injury: human cases and animal experiment. [PDF]
Gu R +6 more
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Combined Detection of Preoperative Serum Calcitonin and Carcinoembryonic Antigen in Medullary Thyroid Carcinoma: A Retrospective Multicenter Cohort Study. [PDF]
Yang Y +22 more
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