REINFORCEMENT LEARNING-BASED AUTOMATED MODULATION SWITCHING ALGORITHM FOR AN ENHANCED UNDERWATER ACOUSTIC COMMUNICATION

Reinforcement learning-based automated modulation switching algorithm for an enhanced underwater acoustic communication

Acoustic communication is the preferred method for underwater communication due to its superior propagation characteristics, including longer range, lower attenuation, better penetration, and adaptability to water density.However, challenges like varying water depths, temperature gradients, noise, and multipath propagation require innovative soluti

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Lactate Regulates Metabolic and Pro-inflammatory Circuits in Control of T Cell Migration and Effector Functions.

Lactate has long been considered a "waste" by-product of cell metabolism, and it accumulates at sites of inflammation.Recent findings have identified lactate as an active metabolite in cell signalling, although its effects on immune cells during inflammation are largely unexplored.Here we ask whether lactate is responsible for T cells remaining ent

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Near infrared II excitation nanoplatform for photothermal/chemodynamic/antibiotic synergistic therapy combating bacterial biofilm infections

Abstract Drug-resistant bacterial biofilm infections (BBIs) are refractory to elimination.Near-infrared-II photothermal therapy (NIR-II PTT) and chemodynamic therapy (CDT) are emerging antibiofilm approaches because of the heavy damage they inflict upon bacterial membrane structures and minimal drug-resistance.Hence, synergistic NIR-II PTT and CDT

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Regulatory Approved Monoclonal Antibodies Contain Framework Mutations Predicted From Human Antibody Repertoires

Monoclonal antibodies (mAbs) are an important class of therapeutics used to treat cancer, inflammation, and infectious diseases.Identifying highly developable mAb sequences in silico could greatly reduce the time and cost required for therapeutic mAb development.Here, we present position-specific scoring matrices (PSSMs) for antibody framework muta

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