526 research outputs found
An Antenna Array Diagnosis Approach Based on CNN Inversion and CFAR Detection
No full textIn this paper, a novel approach for the diagnosis of planar antenna arrays is presented. The developed method is based on the use of a U-Net convolutional neural network for reconstructing the surface electric-field distribution over the array aperture starting from measurements of the radiated field collected in the far-field region. The obtained distributions are subsequently post-processed through a constant false alarm rate approach to identify the possibly faulty elements. The proposed technique has been validated using numerically simulated data concerning realistic patch arrays, showing good detection capabilities
Correction to: Robot‐assisted and traditional intensive rehabilitation therapy in the treatment of post‐acute stroke patient: the experience of a standard rehabilitation ward (Neurological Sciences, (2022), 43, 6, (3999-4001), 10.1007/s10072-022-06041-8)
No full textRobot-assisted and traditional intensive rehabilitation therapy in the treatment of post-acute stroke patient: the experience of a standard rehabilitation ward
No full textCharcot-Marie-Tooth neuropathy score and ambulation index are both predictors of orthotic need for patients with CMT
No full textCharcot-Marie-Tooth (CMT) disease is the most common hereditary neuropathy with an estimated prevalence of 1 person affected on 2500. Frequent symptoms include distal weakness and muscle wasting, sensory loss, reduced deep tendon reflexes, and skeletal deformities, such as hammer toes and pes cavus. CMT is a progressive disease and patients’ needs change over their lifetime. In particular, ambulation aids are increasingly needed to maintain ambulation and reduce the risk of falls. We performed a retrospective analysis of medical records from 149 patients with confirmed CMT to evaluate patients ambulation needs related to the severity of their CMT as measured by the CMT Neuropathy Score (CMTNS) and Ambulation Index (AI). Most patients required some form of orthotics (86.6%). The CMTNS and AI scores both differed significantly between patients with no orthotics compared to those who wore insoles/inserts. The CMTNS and AI also differed significantly between patients wearing insoles and those with ankle foot orthotics (AFOs). CMTNS and the AI were valid predictors of the type and choice of the orthotics. Both the CMTNS and AI can be effective tools to aid in the correct choice of orthotics in patients affected by CMT
Journey on naphthoquinone and anthraquinone derivatives: New insights in alzheimer’s disease
No full textAlzheimer’s disease (AD) is a progressive neurodegenerative disease that is characterized by memory loss, cognitive impairment, and functional decline leading to dementia and death. AD imposes neuronal death by the intricate interplay of different neurochemical factors, which continue to inspire the medicinal chemist as molecular targets for the development of new agents for the treatment of AD with diverse mechanisms of action, but also depict a more complex AD scenario. Within the wide variety of reported molecules, this review summarizes and offers a global overview of recent advancements on naphthoquinone (NQ) and anthraquinone (AQ) derivatives whose more relevant chemical features and structure-activity relationship studies will be discussed with a view to providing the perspective for the design of viable drugs for the treatment of AD. In particular, cholinesterases (ChEs), β-amyloid (Aβ) and tau proteins have been identified as key targets of these classes of compounds, where the NQ or AQ scaffold may contribute to the biological effect against AD as main unit or significant substructure. The multitarget directed ligand (MTDL) strategy will be described, as a chance for these molecules to exhibit significant potential on the road to therapeutics for AD
Microwave Characterization of Brain Stroke Through a Mild Data-Driven Inversion Strategy
No full textA Mild Data-Driven Approach Based on a Lebesgue-Space Inversion Procedure for Microwave Imaging Applications
No full textIn this paper, a mild data driven inversion
technique for microwave imaging applications is proposed. The
developed approach relies upon the use of a variable-exponent
inversion procedure, in which a-priori information about the
class of inspected targets is included through a data-driven
regularization term. The developed technique has been
preliminarily tested considering the characterization of
inclusions in partially known host structures, showing enhanced
reconstruction capabilities with respect to the bare inversion
scheme
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