AN IMPROVED FIXED-TIME STABILIZATION PROBLEM OF DELAYED COUPLED MEMRISTOR-BASED NEURAL NETWORKS WITH PINNING CONTROL AND INDEFINITE DERIVATIVE APPROACH

An improved fixed-time stabilization problem of delayed coupled memristor-based neural networks with pinning control and indefinite derivative approach

In this brief, we propose a class of generalized memristor-based neural networks with nonlinear coupling.Based on the set-valued mapping theory, novel Lyapunov indefinite derivative and Memristor theory, the coupled memristor-based neural networks (CMNNs) can achieve fixed-time stabilization (FTS) by designing a proper pinning controller, which ran

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Immunosuppressive tumor-associated macrophages expressing interlukin-10 conferred poor prognosis and therapeutic vulnerability in patients with muscle-invasive bladder cancer

Background Tumor-associated macrophages (TAMs) secreting IL-10 could be a specific functional cell subset with distinct polarization state and suppressive role in antitumor immune response.Here, we assessed the associations of clinical outcome, therapeutic responses and molecular features with IL-10+TAMs infiltration, and potential impact of IL-10+

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