Cardiointervalography in patients with multiple sclerosis

Cardiovascular autonomic symptoms significantly impart quality of life in patients with multiple sclerosis (MR) Microwave Leakage Detector and, in some cases, pose a threat to their life.Objective: to study cardiovascular autonomic dysfunction by cardiointervalography in MS patients.Patients and methods.Cardiovascular tests (CVT) were carried out i

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Leveraging Data Locality in Quantum Convolutional Classifiers

Quantum computing (QC) has opened the door to advancements in machine learning (ML) tasks that are currently implemented in the classical domain.Convolutional neural networks (CNNs) are classical ML architectures that exploit data locality and possess a simpler structure than a fully connected multi-layer perceptrons (MLPs) without compromising the

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Deep learning enables fast, gentle STED microscopy

Abstract STED microscopy is widely used to image subcellular structures with super-resolution.Here, we report that restoring STED images with deep learning can mitigate photobleaching and photodamage by reducing Color shampoo the pixel dwell time by one or two orders of magnitude.Our method unisex outfit allows for efficient and robust restoration

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