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Age-related arterial stiffness increases pulsatility that reaches the cerebral microcirculation, compromises cerebrovascular health and lead to cognitive decline. The presence of cardiovascular risk factors (CVRFs) such as high blood pressure can exacerbate this effect. Despite extensive research on the impact of antihypertensive treatments on reducing arterial stiffness, little is known about the impact of antihypertensive treatments on pulsatility in cerebral microcirculation.

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Superconducting quantum computing optimization based on multi-objective deep reinforcement learning.

Sci Rep

January 2025

School of Physics, Xi'an Jiaotong University, No.28 Xianning West Road, Xi'an, 710049, Shaanxi, P. R. China.

Deep reinforcement learning is considered an effective technology in quantum optimization and can provide strategies for optimal control of complex quantum systems. More precise measurements require simulation control at multiple experimental stages. Based on this, we improved a multi-objective deep reinforcement learning method in mathematical convex optimization theory for multi-process quantum optimal control optimization.

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Designing asymmetrical structures is an effective strategy to optimize metallic catalysts for electrochemical carbon dioxide reduction reactions. Herein, we demonstrate a transient pulsed discharge method for instantaneously constructing graphene-aerogel supports asymmetric copper nanocluster catalysts. This process induces the convergence of copper atoms decomposed by copper chloride onto graphene originating from the intense current pulse and high temperature.

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Predictors of Mortality in Venoarterial Extracorporeal Membrane Oxygenation Regardless of Early Left Ventricular Unloading: A National Experience.

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Department of Anesthesia, Cardiothoracic Surgery/Cardiac ICU Section, Heart Hospital, Hamad Medical Corporation, Doha, Qatar; Department of Critical Care Medicine, Beni Suef University, Egypt; Weill Cornell Medical College, Doha, Qatar.

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