DEEP LEARNING-BASED RELAPSE PREDICTION OF NEUROMYELITIS OPTICA SPECTRUM DISORDER WITH ANTI-AQUAPORIN-4 ANTIBODY

Deep learning-based relapse prediction of neuromyelitis optica spectrum disorder with anti-aquaporin-4 antibody

ObjectiveWe previously identified the independent predictors of recurrent relapse in neuromyelitis optica spectrum disorder (NMOSD) with anti-aquaporin-4 antibody (AQP4-ab) and designed a nomogram to estimate the 1- and 2-year relapse-free probability, using the Cox proportional hazard (Cox-PH) model, assuming that the risk of relapse had a linear

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Transcranial Magnetic Stimulation for Reducing the Relative Reinforcing Value of Food in Adult Patients With Obesity Pursuing Metabolic and Bariatric Surgery: Protocol for a Pilot, Within-Participants, Sham-Controlled Trial

BackgroundMetabolic and bariatric surgery (MBS) is the most effective and durable obesity treatment.However, there is heterogeneity in weight outcomes, which is partially attributed to variability in appetite and eating regulation.Patients with a strong desire to eat in response to the reward of palatable foods are more likely to overeat and experi

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State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning

Sensorless algorithms for Permanent Magnet Synchronous Motors (PMSM) have achieved increasing interest in the technical literature over the last few years.They can be divided into active methods and passive methods: the first inject high-frequency signals Large Door Bookcase exploiting rotor anisotropy, whereas the second are based on observers.Rec

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Disciplinary and institutional diversity of federally funded academic research on climate solutions in the United States

To meet the demands of technological change required for climate change mitigation, academic research must cover a broad range of climate solutions.Diverse participation in this research is important because research shows that a variety of backgrounds and problem-solving approaches are important to solving complex problems such as climate change.I

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Towards High Productivity in Precision Grinding

Over the last century, substantial advances have been made, based on improved understanding of the requirements of grinding processes, machines, control systems, materials, abrasives, wheel preparation, coolants, lubricants, and coolant delivery.This paper reviews a selection of areas in which the application of scientific principles and engineerin

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